Industry News

Industry News

AI & Machine Learning News. 13, May 2019

Google Lens can now Scan, Translate and read aloud real world text in your own language

CloudQuant Thoughts… Google’s I/O 2019 developer conference in San Francisco last week demo’ed the new built in abilities for Google Lens to Scan, translate and read aloud real world text. This is a huge boon for people with diminished sight abilities, and any other issues affecting their ability to read. Such as this Indian mother…

Don’t Miss these 5 Data Science GitHub Projects and Reddit Discussions (April Edition)

Data science is an ever-evolving field. As data scientists, we need to have our finger on the pulse of the latest algorithms and frameworks coming up in the community. I’ve found GitHub to be an excellent source of knowledge in that regard. The platform helps me stay current with trending data science topics. I can also look up and download code from leading data scientists and companies – what more could a data scientist ask for? So, if you’re a Data science enthusiast, Machine learning practitioner, Data science manager, Deep learning expert
or any mix of the above, this article is for you. I’ve taken away the pain of having to browse through multiple repositories by picking the top data science ones here. This month’s collection has a heavy emphasis on Natural Language Processing (NLP).

  • Github Repositories
    • Sparse Transformer by OpenAI – DNN that predicts the next item in a sequence.
    • OpenAI’s GPT-2 in a Few Lines of Code
    • NeuronBlocks – Impressive NLP Deep Learning Toolkit by Microsoft
    • CenterNet – Computer Vision using Center Point Detection
    • BentoML – Toolkit for Deploying Models!
  • Reddit Discussions
    • What Role do Tools like Tableau and Alteryx Play in a Data Science Organization?
    • Lessons Learned During Move from Master’s Degree to the Industry
    • When ML and Data Science are the Death of a Good Company: A Cautionary Tale
    • Have we hit the Limits of Deep Reinforcement Learning?
    • What do Data Scientists do on a Day-to-Day Basis?

2019-06-13 00:00:00 Read the full story.
CloudQuant Thoughts… Github and Reddit are always great sources for interesting new research. I particularly enjoyed this one from Reddit this week.

Buy the Semiconductor ETF as China Trade Talks Continue

Buy the iShares PHLX Semiconductor ETF (SOXX – Get Report) on weakness to its 50-day simple moving average at $197.70. The U.S. has implemented new tariffs on China but trade talks will continue.
The SOXX set its all-time intraday high of $218.00 on April 24 then began to plunge. The ETF is up 28% year to date and in bull market territory 38.8% above its Dec. 26 low of $144.79. Thursday’s close at $200.91 is 7.8% below the all-time intraday high of $218.00 set on April 24. The decline from the April 24 high to Thursday’s low touched 10% which is a buying opportunity even if a trade deal with China is not reached within the current negotiations.
Over the past week investors sold more than $20 billion in global equity funds just in case the China trade talks stalled. Given a market rebound, the upside for the SOXX is to its quarterly pivot at $207.09 and potentially to next week’s risky level at $217.03.
2019-05-12 13:37:05-04:00 Read the full story.
Interest Score: 1.3491, Positive Sentiment: 0.1459, Negative Sentiment 0.4011
CloudQuant Thoughts… Researching how the China Talks and Trump Tweets affect certain stocks, industries and sectors should be top of any Stock Market Quant’s research list at the moment. When news finally breaks it is bound to have significant effect upon the stock market. Can you write an algo to predict these moves, there is plenty of history over the last two years – I just searched the Trump twitter archive for just the word “China” and it came up 212 times. The top two dates?  5/10/2019 – 17 times and 5/11/2019 – 10 times. Head over to CloudQuant and write a China algo now, as well as tech stocks, agricultire has been hit hard with CORN, SOYB and DBA falling hard in the last year.

10 Must watch videos illustrating Amazing Applications of Artificial Intelligence (AI)
Who would have imagined some years ago that AI will go this far? Be it the self-driving cars, Google Duplex or drones, all the smart inventions are creating a huge difference.
The world is truly getting transformed by the appealing potential of artificial intelligence. Machines are getting smarter with each passing day starting from the robots of Boston Dynamic to Amazon’s AI solutions. In fact, the contemporary era has become so efficient that it is capable of multi-tasking without dropping the perfection level at all, all thanks go to the incredible impact of artificial intelligence.
2019-05-08 06:27:11+00:00 Read the full story.
Interest Score: 1.4328, Positive Sentiment: 0.3452, Negative Sentiment 0.0690

Alternative data for FX – Cuemacro

Should unusual alternative datasets provide addition value for trading (compared to common datasets)? Theoretically the answer is yes, however, in practice it will require a lot detective work. Furthermore, the answer will vary between market participants and their use cases. I’ve worked in the area of alternative data for a number of years, and am currently co-authoring The Book of Alternative Data with Alex Denev, and the book will be published by Wiley in early 2020.
What’s very apparent is that equities seems to grab all the limelight when it comes to alternative datasets. What about if you’re mainly focused on FX, like myself? It can be trickier to use alternative datasets in FX, because there isn’t always the obvious mapping between an entity and the tradable asset. Sometimes, for example, data or news related to the macro economic situation is very relevant for FX, yet it might not be obvious, unless you are an experienced market practitioner.
One advantage though is that because alternative datasets aren’t as commonly used in FX, there is less likelihood of data “crowding”, where too many people are trying to leverage an alt data signal, so the alpha decays. This has happened to some alternative datasets in equities, which are now much more common.
2019-05-11 00:00:00 Read the full story.
Interest Score: 1.7284, Positive Sentiment: 0.1728, Negative Sentiment 0.0741

NVIDIA Earnings: What to Watch on Thursday — The Motley Fool

NVIDIA (NASDAQ:NVDA) is slated to report its first-quarter results for fiscal 2020 after the market close on Thursday, May 16.
The graphics processing unit (GPU) specialist is going into its earnings report surrounded by much investor uncertainty. Last quarter’s results were a train wreck, with revenue falling 24%, earnings per share plummeting 48%, and EPS adjusted for one-time items plunging 53% year over year. The primary culprit was the gaming platform’s big revenue decline, though data center’s weak growth was a contributing factor.
Moreover, another headwind is potentially on the horizon due to the United States’ escalating trade war with China. Effective May 10, the Trump administration increased tariffs on $200 billion in Chinese goods from 10% to 25%, with China saying it’s prepared to retaliate. This is troublesome as China is NVIDIA’s second-largest market behind the U.S.
2019-05-13 00:00:00 Read the full story.
Interest Score: 1.5217, Positive Sentiment: 0.1253, Negative Sentiment 0.3043

Investor Sues After an AI’s Automated Trades Cost Him $20 Million

The first-of-its-kind case could shape the future of AI legislation. Back in 2016, Futurism noted that artificial intelligence was creeping into the world of finance, analyzing market data in real-time to autonomously execute trades for investors.
Now, Hong Kong real estate tycoon Samathur Li Kin-kan is suing a company that used one of those trade-executing AIs to manage his account, causing millions of dollars in losses — a first-of-its-kind court case that could help determine who should be held responsible when an AI screws up.
2019-06-13 00:00:00 Read the full story.

Artificial Intelligence, Machine Learning, and Data Protection

Artificial Intelligence and Machine Learning techniques are altering the way organizations gather, process, and protect data. They are being used to gather massive amounts of information about internet users in the form of Big Data, and to secure and protect it. The challenge is how to maximize the use of Big Data, while simultaneously safeguarding the information and protecting the privacy of individuals.
Europe’s General Data Protection Regulation (GDPR), which focuses on privacy, has several features that demand additional protection for the privacy of Europeans. (Expect the U.S. to follow within a few years.) The introduction of the GDPR has created the need for more complicated Machine Learning systems. Lilian Edwards, a University of Strathclyde law professor in Glasgow, Scotland, stated: “Big Data is completely opposed to the basis of data protection. I think people have been very glib about saying we can make the two reconcilable, because it’s very difficult.
2019-05-09 07:35:01+00:00 Read the full story.
Interest Score: 1.7329, Positive Sentiment: 0.1980, Negative Sentiment 0.3466

Financial storytelling using time series classification

When it comes to narratives, financial markets are particularly appealing because they only ever move on one axis over time. A person can be hungry yet happy, but in finance things go up or down; get stronger or weaker; expand or contract.
As humans, when we look at a chart of market movements, we can easily arrive at an essential story of what markets did over a period…
2019-05-12 22:19:50.911000+00:00 Read the full story.
Interest Score: 0.8960, Positive Sentiment: 0.1236, Negative Sentiment 0.1133

Using Ant Colony and Genetic Evolution to Optimize Ride-Sharing Trip Duration

Urban transportation is going through a rapid and significant evolution. Since the birth of the Internet and smartphones, we have become increasingly connected and are able to plan and optimize our daily commute. Along with that, large amounts of data are gathered and used to improve the efficiency of existing transportation systems. Real-time ride-sharing companies such as Uber and Lyft are using this data to revolutionize the taxi industry, laying the ground for a more connected and centrally controlled transportation structure, and building innovative systems like car-pooling.
In this project, I tackled the travel time optimization problem for taxi vehicles. This can be framed as the Traveling Salesman Problem, a well-known computer science problem. The objective is to find the shortest route that visits a set of locations. For this problem, optimization techniques are required to intelligently search the solution space and find near-optimal solutions. More specifically, I first used machine learning to forecast travel times between every pair of pickup and dropoff locations. Then I used evolutionary algorithms, namely ant colony and genetic, to find the best travel itinerary for the vehicles in the dataset.
2019-05-12 13:10:35.689000+00:00 Read the full story.
Interest Score: 1.0861, Positive Sentiment: 0.1560, Negative Sentiment 0.1560

The basics of Deep Neural Networks

With the rise of libraries such as Tensorflow 2.0 and Fastai, implementing deep learning has become accessible to so many more people and it helps to understand the fundamentals behind deep neural networks. Hopefully this article will be of help people to people on the path of learning about deep neural networks.
Back when I first learnt about neural nets and implemented my first, they were always represented as individual artificial neurons, essentially nodes with individually weighted inputs, a summed output and an activation function.
When first returning into learning about deep neural networks, the concept of how this equated to matrix multiplication didn’t appear obvious. Also, linked to this is why Graphics Processing Units (GPUs) and their spin-offs have helped advance deep learning results so much.
2019-05-12 22:19:41.438000+00:00 Read the full story.
Interest Score: 1.5153, Positive Sentiment: 0.1533, Negative Sentiment 0.2255

3 Top Growth Stocks to Buy Right Now — The Motley Fool

Here we go again. After a record-setting start to 2019, the stock market is back in turmoil. Don’t sweat the reasons why, though — a breather was long overdue. In the meantime, there are some high-growth concerns out there worthy of your consideration.

  • Google doesn’t need your worry (GOOGL, Google)
  • A memory-making cash machine (MU, Micron Technology)
  • Time to buy this virtual health leader (TDOC, Teladoc)

2019-05-12 00:00:00 Read the full story.
Interest Score: 1.2877, Positive Sentiment: 0.1628, Negative Sentiment 0.2368

Understanding ML.NET And How .NET Developers & ML Enthusiasts Can Get Started

With Google, Facebook and now Microsoft releasing their tools, 2019 is already turning out to be a great year for the machine learning community. These releases clearly indicate the direction in which the tech industry is headed. From datasets to improve the models to new updates to optimise the hardware usage, AI pioneers are leaving no stone unturned.
Last week Microsoft too has open sourced ML.NET 1.0, a new framework for machine learning developers.
ML.NET has been under works at the research wing of Microsoft. The innovat…
2019-05-13 07:21:51+00:00 Read the full story.
Interest Score: 2.8420, Positive Sentiment: 0.2229, Negative Sentiment 0.0279

Barclays Launches Cross-Asset Electronic Trading Platform

Futures, and FX. The unified offering will be represented under one name, BARX, with numerous e-trading solutions and innovations available to clients.
The BARX platform will: (1) harness Barclays’ data science capabilities to deliver better trade analytics, (2) provide deep pools of liquidity for each asset class and offer innovative solutions for accessing liquidity, and (3) increase transparency and drive greater control and visibility in electronic trading for clients.
“We are excited to announce that BARX will be our newly integrated, cross-asset electronic trading platform that will continually i…
2019-05-10 11:05:19+00:00 Read the full story.
Interest Score: 2.6582, Positive Sentiment: 0.5990, Negative Sentiment 0.0374

Hedge-fund investors are getting excited about the possibilities of machine learning. There’s a good chance they don’t understand it.

s machine-learning pioneers remembers the days — just “three years ago” — when explaining his fund had to be done in the simplest of terms.
Now, with more than half of hedge funds using some form of machine learning or artificial intelligence in their investment processes, according to a BarclayHedge report, the “pendulum has almost swung the other way,” says Michael Kharitonov, co-founder of $4 billion Voleon Capital.
“We didn’t see people from the machine learning community at hedge funds or in finance” a decade ago, he said in an interview with Business Insider. “Now machine learning has become very popu…
2019-05-09 00:00:00 Read the full story (behind a registration wall).
Interest Score: 2.5805, Positive Sentiment: 0.1443, Negative Sentiment 0.1282

R Risks Python Swallowing It Whole: TIOBE

Is the R programming language in serious trouble? According to the latest update of the TIOBE Index, the answer seems to be “yes.” After managing to keep a place amongst the Index’s top 20 languages for the past three years, R has finally tumbled out.
R is a very niche language, used primarily in data analytics (and even then, primarily in a university and research context). So its fall “is quite surprising because the field of statistical programming is still booming, especially thanks to the popularity of data mining and artificial intelligence,” read the note accompanying this month’s list. “It seems that there is a consolidation going on in the statistical programming market. Python has become the big winner.”
2019-05-09 00:00:00 Read the full story.
Interest Score: 2.2531, Positive Sentiment: 0.2319, Negative Sentiment 0.2651

Liquidnet Expands Research With RSRCHXchange Buy

Liquidnet, the global institutional investment network, today announced it has acquired RSRCHXchange, a leading marketplace and aggregator for institutional research. The acquisition supports Liquidnet’s evolution as a global investment network and enables it to embed a new level of research and analytics into the global investment process. Liquidnet will now be able to deliver relevant, actionable insights directly to investment teams through th…
2019-05-13 11:20:46+00:00 Read the full story.
Interest Score: 2.2504, Positive Sentiment: 0.3094, Negative Sentiment 0.0563

AI in Government Act is Back, with ‘Smart’ Use on Senators’ Minds

Senate legislation to boost the government’s use of artificial intelligence is returning with bipartisan sponsorship and a long list of industry supporters.
The Artificial Intelligence in Government Act’s four proponents from the previous Congress — Brian Schatz, D-Hawaii, Cory Gardner, R-Colo., Rob Portman, R-Ohio, and Kamala Harris, D-Calif. — have announced that they plan to reintroduce it. The legislation was first introduced by the same group in September 2018 but stalled as the previous Congress came to a close.
The bill, broadly, aims to “improve the use of AI across the federal government by providing access to technical expertise and streamlining hiring within the agencies.” It would create a Center of Excellence for AI within the General Services Administration; establish a government advisory board on AI; direct the Office of Personnel Management to identify the skills necessary for employee competence in AI; and prompt agencies to “create governance plans to advance innovative uses and reduce barriers to AI for the benefit of the public,” according to a news release.
2019-05-10 14:10:50+00:00 Read the full story.
Interest Score: 2.1636, Positive Sentiment: 0.4222, Negative Sentiment 0.0528

Outdated Technology Preventing Banks from Investing in Disruptive Technologies, according to Fenergo Survey

Fenergo, the leading provider of digital Client Lifecycle Management (CLM) software solutions for financial institutions, revealed that 20% of C-suite executives in banks say that the maturity of their technology infrastructures is preventing them from investing in new, disruptive technologies including big data analytics and Artificial Intelligence (AI) to improve CLM. 67% are not currently partnered with a fintech/regtech provider to improve operational efficiencies and just 40% of respondents have integrated with an external data or Know Your Customer (KYC) utility provider.
The report also highlights that 33% of those surveyed have not invested in any technology to improve client onboarding despite 99% agreeing that underinvestment in technology directly impacts client onboarding and retention. Only 15% have automated the collection of data and 74% believe data management is overlooked strategically despite it being among the top three most critical business concerns.
2019-05-09 00:00:00 Read the full story.
Interest Score: 2.1184, Positive Sentiment: 0.3914, Negative Sentiment 0.2533

CIOs See AI As Disruptive, Fueling Need to Reskill Your Workforce

AI is considered the most disruptive technology, according to Gartner’s 2019 CIO Survey (it includes over 3,000 CIOs from 89 countries). So yes, this is big reason why there has been a major increase in adoption and implementation.
Yet there is a bottleneck that could easily slow the progress – that is, finding the right talent. The fact is that there are few data scientists and AI experts available.
2019-05-07 18:41:29+00:00 Read the full story.
Interest Score: 2.1131, Positive Sentiment: 0.3571, Negative Sentiment 0.1488

Data Scientist Market: Too Hot for Its Own Good?

Is the market for data scientists actually deflating?
That’s the depressing conclusion that TechRepublic seemed to reach, after citing data from Glassdoor that suggested pay for data scientists shrunk 1.2 percent (year-over-year) in March 2019. “This is a continuation of a longer running trend—data scientist wage growth has been well below the national average for the last year,” said Glassdoor senior economist Daniel Zhao.
2019-05-07 00:00:00 Read the full story.
Interest Score: 2.1011, Positive Sentiment: 0.1710, Negative Sentiment 0.1222

ICE Data Services Launches New Service With Credit Benchmark Data

ATLANTA & NEW YORK–(BUSINESS WIRE)– Intercontinental Exchange (NYSE: ICE), a leading operator of global exchanges and clearing houses and provider of data and listings services, today announced that ICE Data Services has launched ICE Credit Risk, an innovative new suite of analytics. These analytics measure credit risk by combining daily market credit risk analytics with monthly fundamental credit views from financial institutions. Consensus esti…
2019-05-11 16:26:07+10:00 Read the full story.
Interest Score: 2.0717, Positive Sentiment: 0.2611, Negative Sentiment 0.0870

IBM, Thomson Reuters simplify regulatory compliance challenges

IT heavyweight IBM and mass media firm Thomson Reuters have joined forces to help banks tackle perennial regulatory compliance changes by combining artificial intelligence (AI) with real-time regulatory insights.
Their new RegTech solution, delivered straight from the IBM Cloud, features real-time financial services data taken from thousands of content sources . Backed by the power of AI and domain knowledge of Promontory Financial Group, the collaboration will enable financial services professionals to keep pace with regulatory changes, manage risk and reduce the…
2019-05-08 00:00:00 Read the full story.
Interest Score: 2.0153, Positive Sentiment: 0.3172, Negative Sentiment 0.1120

Report: Disruptive Tech Hampered by Legacy Systems

Fenergo, the leading provider of digital Client Lifecycle Management (CLM) software solutions for financial institutions, revealed that 20% of C-suite  executives in banks say that the maturity of their technology infrastructures is preventing them from investing in new, disruptive technologies including big data analytics and Artificial Intelligence (AI) to improve CLM. 67% are not currently partnered with a fintech/regtech provider to improve operational efficiencies and just 40% of respondents have integrated with an external data or Know Your Customer (KYC) utility provider.
The report also highlights that 33% of those surveyed have not invested in any technology to improve client onboarding despite 99% agreeing that underinvestment in technology directly impacts client onboarding and retention. Only 15% have automated the collection of data and 74% believe data management is overlooked strategically despite it being among the top three most critical business concerns.
2019-05-10 15:40:57+00:00 Read the full story.
Interest Score: 2.0025, Positive Sentiment: 0.4495, Negative Sentiment 0.4495

Utilising AI to Prevent Financial Crime

The convergence of open banking, data protection regulation, digitalisation of services and advancement of technology and artificial intelligence has caused profound and prolific changes to the financial services industry. It has also opened new doors and fresh opportunity for fraudsters, who are equally taking advantage of new technologies and the reams of data that now exists in the banking ecosphere.
Keeping transactions secure as financial organisations move into a world of open banking is a race that gets faster by the launch of a new banking API. Risk management, cyber security and fraud strategists need to collaborate to stay ahead of the competition, while addressing the needs of the new digital customer, which includes the hefty task of protecting their data.
2019-05-09 00:00:00 Read the full story.
Interest Score: 1.9953, Positive Sentiment: 0.2934, Negative Sentiment 0.5282

ICE Data Services Launches New Service with Credit Benchmark Data to Provide a Comprehensive, Daily Market View of Credit Risk

ICE Data Services Launches New Service with Credit Benchmark Data to Provide a Comprehensive, Daily Market View of Credit Risk
ATLANTA & NEW YORK –(BUSINESS WIRE)– Intercontinental Exchange (NYSE: ICE), a leading operator of global exchanges and clearing houses and provider of data and listings services, today announced that ICE Data Services has launched ICE Credit Risk, an innovative new suite of analytics. These analytics measure credit ris…
2019-05-08 00:00:00 Read the full story.
Interest Score: 1.9896, Positive Sentiment: 0.2426, Negative Sentiment 0.0809

Hewlett Packard Enterprise Integrates BlueData to Accelerate AI in the Enterprise

According to a recent press release, “Hewlett Packard Enterprise (HPE) today announced a new integrated offering that combines the HPE BlueData software platform with HPE Apollo systems and HPE Pointnext services, to provide customers with a powerful solution for AI and data-driven business innovation. Today’s announcement builds on HPE’s acquisition of BlueData in November 2018, and represents an important milestone in HPE’s ongoing strategy for…
2019-05-10 07:05:23+00:00 Read the full story.
Interest Score: 1.9836, Positive Sentiment: 0.3387, Negative Sentiment 0.0968

How “Unreal” AI Is Democratising AI With Thier Proprietary Solutions

This New Delhi-based startup, founded in 2018 by Saurabh Singh and Nischal Gaba aims to decentralise artificial intelligence (AI) on Google and AWS cloud by developing proprietary AI neural network model that can run on low-cost edge devices.
According to the founders, the pressing challenge before them was to run machine learning models on low-cost edge devices so as to reduce their dependence on the cloud for intelligence.
After a year of hard work and deep research, the youngsters were able to address the challenge and when they showcased it to their friends and told them that they were able to run the models using $5 Raspberry Pi, their friends found it ‘unreal’.
2019-05-13 07:50:16+00:00 Read the full story.
Interest Score: 1.9358, Positive Sentiment: 0.2765, Negative Sentiment 0.2340

AI Changing the Game in Federal IT; Federal Agency Leaders Weigh Impact

AI and related emerging technologies are here to stay, from civilian agency uses like at the National Science Foundation (NSF) and the Department of Veterans Affairs to military applications like at the U.S. Naval Research Laboratory and across the Defense Department.
Federal CIO Suzette Kent highlighted the transformative nature of AI across the board from national security to agriculture, medicine and transportation as the reason why the feder…
2019-05-07 18:41:02+00:00 Read the full story.
Interest Score: 1.9218, Positive Sentiment: 0.2402, Negative Sentiment 0.2402

Solactive launches Global Technology Leaders Index

Solactive has launched the Solactive Global Technology Leaders Index, which tracks the performance of both globally leading technology companies and businesses not necessarily labeled as traditional tech firms by a common sector classification system.
The index focuses on companies whose disruptive potential made them market incumbents that set significant impulses for the entire technology industry. This, in particular, refers to, but is not li…
2019-05-10 00:00:00 Read the full story.
Interest Score: 1.9201, Positive Sentiment: 0.1038, Negative Sentiment 0.0519

Wealthtech Week in Review (5/6/19)

E*TRADE Financial Corp. (ETFC) is reportedly preparing to enter the cryptocurrency world with plans to allow customers to trade popular coins such as Bitcoin and Ethereum on its platform. The move would make it one of the largest securities brokerages to allow cryptocurrency trading, according to anonymous sources familiar with the firm’s plans interviewed by Bloomberg.
Online trading major Interactive Brokers Group, Inc. (IEX:IBKR) has unveiled its plans to introduce a feature that will consolidate Scanners and Watchlists into a single tool that provides multiple methods to create and update one’s instrument list. Watchlists and Market Scanners both result in lists of contracts, but are created differently. Watchlists are user-defined, static lists. Scanners are criteria-driven dynamic lists that can be refreshed with the click of a button.
2019-05-06 13:57:40+00:00 Read the full story.
Interest Score: 1.9064, Positive Sentiment: 0.3525, Negative Sentiment 0.0481

AI at the 5G Wireless Network Edge

I have been focusing on potential breakthroughs that may result from the synergy between Artificial Intelligence (AI) and 5G. Currently the processing for most AI-enabled medical, robotics, industrial and consumer applications occurs in a centralized cloud. But some AI applications and use cases require very low latency, where the turnaround time between sensing and action must b…
2019-05-10 14:45:15+00:00 Read the full story.
Interest Score: 1.9015, Positive Sentiment: 0.2800, Negative Sentiment 0.0933

Top 10 real-life examples of Machine Learning

Machine learning is one modern innovation that has helped man enhance not only many industrial and professional processes but also advances everyday living. But what is machine learning? It is a subset of artificial intelligence, which focuses on using statistical techniques to build intelligent computer systems in order to learn from databases available to it. Currently, machine learning has been used in multipl…
2019-05-13 04:30:08+00:00 Read the full story.
Interest Score: 1.8633, Positive Sentiment: 0.2054, Negative Sentiment 0.0734

NXP and Microsoft Partner on Edge-to-Cloud Machine Learning Solution

According to a recent press release, “NXP Semiconductors N.V. today announced collaboration with Microsoft to bring Artificial Intelligence (AI) and Machine Learning (ML) capabilities for anomaly detection to Azure IoT users. By combining complementary strengths, NXP’s offline machine learning capability and embedded processing with Microsoft’s cloud expertise, the two companies jointly demonstrate a new Anomaly Detection Solution for Azure IoT at Microsoft Build in Seattle, WA from May 6-8.”
The release goes on, “The solution consists of a small form factor…
2019-05-13 07:15:00+00:00 Read the full story.
Interest Score: 1.8405, Positive Sentiment: 0.2231, Negative Sentiment 0.3346

Only Intelligent Data Can Power Artificial Intelligence

Our rapidly growing mastery of artificial intelligence has the potential to address society’s thorniest problems. But time and again, AI-powered projects have failed the test of fairness as algorithms have amplified the social, ethnic, and gender biases inherent in their data. Bad data inevitably translates into wrong answers.
The onus is on us, the data-driven organizations at the forefront of the AI revolution, to develop models and ethics tha…
2019-05-09 00:00:00 Read the full story.
Interest Score: 1.8277, Positive Sentiment: 0.2016, Negative Sentiment 0.6182

Why Coupa Spending Index May Be a Leading Indicator of Growth

Business spend-management software maker Coupa Software did some research in its own market and then discovered a big bonus takeaway: That the study may work as a general indicator of business spending across a broad swath of businesses.
The first Coupa Business Spend Index, released in late April, reveals that despite uncertainty in the markets, businesses appear to be growing increasingly optimistic about the growth of the economy over the nex…
2019-05-08 00:00:00 Read the full story.
Interest Score: 1.7843, Positive Sentiment: 0.3922, Negative Sentiment 0.0980

House Panel Passes Whistleblower Retaliation, Insider Trading Bills

The House Financial Services Committee passed legislation on Thursday to protect whistleblowers from employer retaliation as well as create a “clear definition” of what constitutes insider trading under securities laws.
The Whistleblower Protection Reform Act, H.R. 2515, which unanimously passed, amends the definition of whistleblower under the Securities and Exchange Act of 1934 to clarify that whistleblowers who report alleged misconduct internally to their employers—but not to the Securities and Exchange Commission—are protected by Dodd-Frank’s anti-retaliation provisions.
H.R. 2534, the Insider Trading Prohibition Act, meanwhile, creates “a codified, consistent standard” of what constitutes insider trading.
2019-05-09 00:00:00 Read the full story.
Interest Score: 1.7737, Positive Sentiment: 0.2446, Negative Sentiment 0.3670

The Insights Beat: Spring Into Action With Your Insights

This month’s Insights Beat uncovers new ways to accelerate digital transformation, featuring some of our latest research on data and analytics technologies and strategies.

  • Be The Master Of Your Own Data
  • Don’t Be Afraid To Think Big . . .
  • . . . But Stay Grounded In The Fundamentals

2019-05-06 20:26:13-04:00 Read the full story.
Interest Score: 1.7633, Positive Sentiment: 0.5086, Negative Sentiment 0.0678

Eyeing Expansion, SAP Pushes HANA to the Cloud

SAP continues to push its flagship HANA in-memory database platform higher into the cloud with a range of new analytics, cloud storage, AI and robotic process automation features aimed down-market beyond big companies and “complex scenarios.”
As SAP (NYSE: SAP) points HANA toward a mass market, “We want to see all industries in the cloud, [and] the public cloud is the way to go,” Hasso Plattner, SAP’s co-founder and board chairman, emphasized du…
2019-05-09 00:00:00 Read the full story.
Interest Score: 1.7605, Positive Sentiment: 0.0800, Negative Sentiment 0.0267

Google & FB’s Latest Open Source Contributions To Machine Learning

Earlier this year, Google’s AI researchers recently released a paper introducing Natural Questions (NQ), a new dataset for QA research, along with methods for QA system evaluation.
Also, there is the Bidirectional Encoder Representations from Transformers or BERT, which was open sourced last year, offers a new ground to embattle the intricacies involved in understanding the language models.
Whereas, Facebook demonstrated how serious they are ab…
2019-05-09 12:52:11+00:00 Read the full story.
Interest Score: 1.7477, Positive Sentiment: 0.2731, Negative Sentiment 0.0819

PIMCO Tabs Algomi ALFA For Bond Data

PIMCO Selects Algomi ALFA to Source Liquidity in Fragmented Bond Market
NEW YORK (May 7, 2019) – Algomi, which provides data aggregation technology for the optimization of fixed income liquidity, today announced that PIMCO, one of the world’s premiere fixed income investment managers, is using Algomi ALFA inside the firm’s trading and data infrastructure.
With Algomi ALFA, PIMCO now has access to bond price information from all major electronic…
2019-05-07 14:12:33+00:00 Read the full story.
Interest Score: 1.7301, Positive Sentiment: 0.5323, Negative Sentiment 0.0532

HPE Folds BlueData into AI Offerings

her services to offer new AI and analytics capabilities running on hybrid clouds.
HPE, which acquired AI and big data software vendor BlueData last November, said Tuesday (May 7) it is folding those machine learning capabilities into a new service that also runs on “multi-vendor infrastructure.” Among the goals is taking advantage of application portability via containers running on-premises and multi-cloud deployments.
The new machine learning and analytics capabilities will be merged with its Apollo server and storage offerings along with HPE Pointnext services that include IT consulting, hybrid cloud rol…
2019-05-07 00:00:00 Read the full story.
Interest Score: 1.7301, Positive Sentiment: 0.1384, Negative Sentiment 0.1384

Liquidnet: What We Learnt At TradeTech

Industry participants met in Paris to look beyond MiFID II and Brexit. The changing buy and sell-side relationships, retaining access to liquidity, systematic internalisers (SIs), and periodic auctions were annual topics still up for discussion; however, there was a shift in focus this year towards data, machine learning (ML) and artificial intelligence (AI) as the buy side increasingly focuses on improving execution outcomes in a shifting market eco-structure.
2019-05-13 09:02:48+00:00 Read the full story.
Interest Score: 1.7012, Positive Sentiment: 0.3402, Negative Sentiment 0.2175

Junxure Deepens Integrations With Orion, Constant Contact: Portfolio Products

Junxure – AdvisorEngine’s wholly-owned subsidiary CRM Software Inc – is deploying integrations with Orion Advisor Services, Constant Contact and MyRepChat.
They will power advisory firms’ marketing and communication to prospects and clients with the goal of creating a better user experience through simultaneous access of CRM and portfolio data.
“These integrations with Orion, Constant Contact and MyRepChat are examples of the investments being …
2019-05-06 00:00:00 Read the full story.
Interest Score: 1.6371, Positive Sentiment: 0.1916, Negative Sentiment 0.0522

Building an IoT Predictive Maintenance Solution for Scale

tica to analyze large volumes of IoT data for predictive maintenance solutions. This webcast will preview a predictive maintenance demonstration that shows how Vertica core technology and in-database Machine Learning enables equipment manufacturers to accurately pinpoint maintenance issues before they occur.
2019-05-10 00:00:00 Read the full story.
Interest Score: 1.6000, Positive Sentiment: 0.2667, Negative Sentiment 0.0000

Real-Time Streaming for ML Usage Jumps 5X, Study Says

A new survey sponsored by Lightbend found that implementations of real-time stream data processing systems for machine learning and AI applications jumped by 500% over the past two years. It also found that Kafka is almost ubiquitous, that concerns about state handling must be addressed, and that containers are prime locations for fast data systems.
Lightbend, which develops a real-time streaming data stack based on Akka technology, commissioned…
2019-05-07 00:00:00 Read the full story.
Interest Score: 1.5871, Positive Sentiment: 0.1356, Negative Sentiment 0.1356

AI Weekly: Google focused on privacy at I/O 2019

Yesterday marked the conclusion of Google’s I/O 2019 developer conference in San Francisco, where the company announced updates across its product portfolio. Among the highlights were the latest beta release of Android Q, Google’s cross-hardware operating system; the Pixel 3a and Pixel 3a XL; the Nest Hub Max; augmented reality in Google Search; Duplex on the web; enhanced walking directions in Google Maps; and far more than can be recounted here.
It’s not easy to craft a narrative that touches on hundreds (if not thousands) of platforms and services, but Google made an effort to bring privacy to the fore this week — particularly in the area of artificial intelligence and machine learning.
2019-05-10 00:00:00 Read the full story.
Interest Score: 1.5818, Positive Sentiment: 0.3034, Negative Sentiment 0.1083

Time-To-Market for a Data Platform

data platforms. Unique approaches, aggressive architectures, and varied use cases underline the different features of each of the proposed solution. It is great to see, that industry is embracing the Big data age and even post big data evolutionary cycles very willingly.
One thing that many companies undermine, is the speed of delivery or the so-called time to market for these platforms to internal stakeholders. In almost every big organization, the data evolution journey saw the adoption of data warehouses in the mid to late 2000s. Before the big data wave, the standard data mining and data transfor…
2019-05-10 00:47:12 Read the full story.
Interest Score: 1.5722, Positive Sentiment: 0.3103, Negative Sentiment 0.2896

What’s Behind Lyft’s Choices in Big Data Tech

Lyft was a late entrant to the ride-sharing business model, at least compared to its competitor Uber, which pioneered the concept and remains the largest provider. That delay in starting out actually gave Lyft a bit of an advantage in terms of architecting its big data infrastructure in the cloud, as it was able to sidestep some of the challenges that Uber faced in building out its on-prem system.
Lyft and Uber, like many of the young Silicon Valley companies shaking up established business models, aren’t shy about sharing information about their computer infrastructure. They both share an ethos of openness in regards to using and developing technology. That openness is also pervasive at Google, Facebook, Twitter, and other Valley outfits that created much of the big data ecosystem, most of which is, of course, open source.
2019-05-10 00:00:00 Read the full story.
Interest Score: 1.4773, Positive Sentiment: 0.2059, Negative Sentiment 0.1164

Salesforce Pairs Einstein Analytics With Its CRM

Salesforce announced the pairing of its client relationship management system, Financial Services Cloud, and Einstein Analytics into an analytics solution for wealth managers, home office professionals and retail bankers, according to the firm. Called Einstein Analytics for Financial Services, the service uses Salesforce’s own query engine and interpretation layers, powered by the enterprise data analytics of its 2016 acquisition, BeyondCore.
2019-05-07 00:15:41+00:00 Read the full story.
Interest Score: 1.4632, Positive Sentiment: 0.0757, Negative Sentiment 0.0252

3 Chicago technologists share the impact data has on their most exciting projects

Ask any tech worker about an exciting project they’re working on, and chances are data will be part of the conversation. That’s because data enables technologists to do some pretty exciting things, like optimizing a company’s billion-dollar product portfolio or making healthcare more efficient.
We recently spoke to three Chicago technologists to learn more about how data is driving forward the most exciting projects they’re currently working on….
2019-05-08 00:00:00 Read the full story.
Interest Score: 1.3817, Positive Sentiment: 0.4396, Negative Sentiment 0.0942

Local Marketers Discover Perks Of Merging Big Data And Google Reviews

We have published a number of glowing articles on the benefits of big data in the world of marketing. However, many of these tutorials focus on the general benefits of big data, rather than specific, data-driven marketing strategies.
One of the ways that big data is transforming local marketing is by optimizing Google Reviews. We were pleased to hear from Michael Del Gigante, the CEO of MDG Advertising. Michael has been kind enough to write a guest post on the benefits of using big data to create higher quality Google Reviews.
Big Data is the Key to Using Google Reviews for Optimal Impact. Most marketers know that positive Google reviews and ratings are essential for local companies. This crowdsourced information is displayed prominently across mobile and desktop search results, and they’re even featured on Google Maps. A glowing Google review boosts a firm’s credibility, driving traffic to both its website and physical location.
2019-05-07 23:48:32+00:00 Read the full story.
Interest Score: 1.3526, Positive Sentiment: 0.2678, Negative Sentiment 0.0536

SAP HANA and SAP Cloud Platform Help Customers Realize the Intelligent Enterprise

A recent press release states, “Thanks to its unrivaled business process expertise and close collaboration with customers and partners, SAP SE today again proves that it delivers exactly what companies need, to outgrow competition and deliver a unique experience to their customers. With new SAP HANA® Cloud Services, SAP aims to bring the power and performance of the SAP HANA database to the cloud where it acts as a single gateway to data of any s…
2019-05-13 07:10:07+00:00 Read the full story.
Interest Score: 1.3438, Positive Sentiment: 0.3359, Negative Sentiment 0.1120

Investors Like Sumo Logic

Sumo Logic, the machine data analytics vendor, said its most recent funding binge that included two new investors pushed its venture capital total to $345 million over investment six rounds.
The analytics service provider said Wednesday (May 8) its latest funding round produced $110 million and included two new investors: Franklin Templeton Investments and Tiger Global Management. The round was led by Battery Ventures. The company al…
2019-05-08 00:00:00 Read the full story.
Interest Score: 1.3291, Positive Sentiment: 0.1375, Negative Sentiment 0.0917

What quality stock picking really entails

Another tradeoff is that the quality screen is biased to companies with low dividends and sometimes high valuations. One of the big quandaries of the past 10 years has been the global underperformance of high dividend stocks, typically in the “value” designation.
These definitional constraints are mostly in the world of ETFs where quantitative processes will categorise each company according to specified metrics as though they each live in a dis…
2019-05-09 00:00:00 Read the full story (Behind registration Wall).
Interest Score: 1.3234, Positive Sentiment: 0.1654, Negative Sentiment 0.3033

6 ways to effectively market an AI startup

No startup is easy to grow, and with more and more artificial intelligence (AI) companies being founded around the world, the reality is that they can’t all lead the way. Some will struggle along for years, unable to find any real traction, while others will perish completely shortly after they’re funded.
As a founder or marketer, you need to be able to effectively communicate your value proposition. People respond to great products, so it’s crucial to understand that …
2019-05-12 00:00:00 Read the full story.
Interest Score: 1.2849, Positive Sentiment: 0.4442, Negative Sentiment 0.1269

Facebook sues South Korean firm over data misuse

Battling the Cambridge Analytica data scandal, Facebook has now filed a lawsuit in California state court against Rankwave, a South Korean data analytics company that ran apps on its platform.
The lawsuit alleged that Rankwave abused Facebook’s developer platform’s data and refused to cooperate with a mandatory compliance audit and request to delete the data.
“Facebook was investigating Rankwave’s data practices in relation to its advertising and marketing services.
“Rankwave failed to cooperate with our efforts to verify their compliance with …
2019-05-11 16:06:38+08:00 Read the full story.
Interest Score: 1.2425, Positive Sentiment: 0.0428, Negative Sentiment 0.4713

How Organizations Are Transforming Their Data Environments

There are many technology trends sweeping the business data space, but the single goal of all of them is to achieve a more agile operation and organization. Enterprise agility isn’t a single initiative but rather a collection of activities and technologies that lead toward that goal. This includes adoption of microservices, containers, and Kubernetes to increase the flexibility of systems, applications, and data by releasing them from underlying …
2019-05-13 00:00:00 Read the full story.
Interest Score: 1.2408, Positive Sentiment: 0.1477, Negative Sentiment 0.1773

Experts Are Tracking the Evolving Role of AI in Call Management

Artificial intelligence is redefining the nature of customer service. According to one analysis by Maruri Tech Labs, 85% of all customer service communications will be handled by an AI system by the end of next year. This is even true in call centers, which are surprisingly being disrupted by AI technology.
Although artificial intelligence is going to be extremely important in the future of customer service, it is stil…
2019-05-11 19:21:25+00:00 Read the full story.
Interest Score: 1.2229, Positive Sentiment: 0.1846, Negative Sentiment 0.4845

Gap in digital platforms pose a real threat to European banks

According to a new study by Greenwich Associates, two major factors are playing a role in companies’ decisions about which banks to use: banks’ willingness to lend, and innovation across their banking products, processes and digital platforms.
Greenwich Associates conducted 2,345 interviews across Europe with financial officers (e.g. CFOs, finance directors and treasurers) working for corporations with annual sales in excess of €500 million, inc…
2019-05-10 00:00:00 Read the full story.
Interest Score: 1.2129, Positive Sentiment: 0.3653, Negative Sentiment 0.2338

AI-Powered Malware, Smart Phishing and Open Source Attacks, Oh My! The New Wave of Hacking in 2019 and How to Prevent.

The IT security industry is bracing itself for an onslaught of new wave hacking exploits which are powered by smart technology, machine learning, and artificial intelligence. Black Hat computer experts are expected to unleash a number of unethical tactics to target and manipulate individuals and organizations who are not primed to counter it.
The era of artificial intelligence is happening now, harnessing the power of AI is arguably one of the pivotal agenda items within many business organizations throughout the world. Controlling enterprise data and using machine learning to understand business trends is commonplace.
Hackers are also exploring this technology to create AI-powered malware which can deploy untraceable malicious applications within a benign data payload. AI techniques can conceal the conditions needed to unlock the malicious payload making it almost impossible to reverse-engineer the threat, potentially bypassing modern anti-virus and malware intrusion detection systems.
2019-05-13 00:00:00 Read the full story.
Interest Score: 1.2072, Positive Sentiment: 0.0584, Negative Sentiment 0.6036

The Pixel 3a is Google’s first real attempt to maneuver around the dominance of the iPhone, but experts say it’s likely to fall short

Driving on Interstate 101 from San Francisco to Silicon Valley, freshly updated billboards line the highway comparing Google’s new Pixel 3a with Apple’s iPhone X.
The biggest difference being touted on the billboards is the price: $399 for the Pixel 3a versus $999 for the iPhone X. And under the prices, smaller text offers a more subtle point: “One has Google,” the billboard reads. “The other is Google.”
The billboards were part of a series of …
2019-05-10 00:00:00 Read the full story (Paywall).
Interest Score: 1.1939, Positive Sentiment: 0.1895, Negative Sentiment 0.1895

Microsoft is addressing tough paradigms on the intelligent edge with Azure Data Boxes

This is not a rhetorical question: How do you move 2 petabytes of data to a cloud that can analyze it? It’s not practical to move it over the internet — even with an obscenely fast 10 Gbps connection, it would take 19 days. Over more common 45Mbps T3 connections, it’s effectively an impossibility, because it would take 12 years, according to Microsoft’s calculations.
This is the problem the company faced when it was developing some of its intelligent edge offerings. Its solution is Microsoft’s Azure Data Box family, a series of appliances that offer high storage capacities. Most of the Data Boxes require customers to physically ship them to Microsoft so the data can be moved to Azure, which in a sense flips the paradigm of edge computing.
Part of the idea of edge computing is, as Microsoft head of Azure IoT Sam George told VentureBeat in an interview at Build 2019, “It’s often easier to move compute to where data is than to move data where compute is.” With most of the Data Boxes, though, it’s just not feasible to do so — and thus this model is moving data to compute, not the other way around.
2019-05-10 00:00:00 Read the full story.
Interest Score: 1.1903, Positive Sentiment: 0.0476, Negative Sentiment 0.0635

Commercial Banking: The Bank’s Point of View

Commercial Banking is a highly profitable customer segment for global and large regional banks, and a key growth strategy for community and smaller regional banks. New challenger banks are also turning up the heat on traditional brick and mortar banks, as they are starting to attract business customers to their digital only banks.
As a financial partner to businesses, banks must deliver solutions that introduce new service offerings, eliminate p…
2019-05-09 11:56:51 Read the full story.
Interest Score: 1.1783, Positive Sentiment: 0.3503, Negative Sentiment 0.1592

How does artificial intelligence influence the design sector?

As artificial intelligence continues to improve, its impact on creative fields like graphic design is only just being understood. Whilst AI is worrisome for some design professionals, others embrace it with open arms. With artificial intelligence and job security having an as yet relatively unknown relationship, it’s easy to see why many workers get anxious over this topic.
One thing that is apparent is AIs quick acceptance amongst tech industries. Whilst traditional segments have been slow to adopt AI, technology & software firms have been highly receptive. This puts fields like graphic design directly in AI’s line of fire. In this article, we’re going to look at how AI might influence the graphic design sector, and whether this will be a good thing for freelance professionals.
2019-05-09 06:06:02+00:00 Read the full story.
Interest Score: 1.1436, Positive Sentiment: 0.3245, Negative Sentiment 0.0927

SK Telecom and Microsoft sign MOU for comprehensive cooperation in cutting-edge ICT

SK Telecom (NYSE:SKM) and Microsoft Corp. signed a memorandum of understanding (MOU) on May 7 for comprehensive cooperation in leading-edge ICT, including 5G, artificial intelligence (AI) and cloud. Under the MOU, SK Telecom and Microsoft will combine their technological capabilities in areas such as 5G, AI and cloud to jointly promote Internet of Things (IoT) business including smart factory; AI technologies and services; media and entertainment services; and new ways of working for ICT companies under the SK Group umbrella.
To promote smart factory IoT business operations, the two companies established a business strategic partnership in February 2019 to launch Microsoft Azure with Metatron, SK Telecom’s self-developed big data solution. SK Telecom and Microsoft will work together to further upgrade the service and implement joint marketing activities.
2019-05-12 00:00:00 Read the full story.
Interest Score: 1.1270, Positive Sentiment: 0.4355, Negative Sentiment 0.0000

Chatbots and the Rise of the Automated Insurance Agent

Recently, the market’s best insurance agency management systems with the chatbots have been implemented by insurance organizations striving to enhance the quality of client support. In this way, rather than hiring an entire bureau of specialists committed to handling client demands, calculating their insurance costs, and doing different assignments, an organization can use a chatbot. Chatbots represent considerable authority in layout answers, having a total database of them within reach (in addition, they can give answers created by AI). Let’s take a look at this cutting edge software and its abilities for a dynamic organization management system.
There are two types of chatbots, depending on a specific client’s demands:

  • All-purpose, AI-based chatbots (ready to answer the greatest scope of inquiries; the most exceptional arrangements can effectively replace human insurance operators and are incorporated with instant CRM frameworks and Claim Management systems);
  • Pre-modified, calculation based chatbots (the most crude dimension of chatbot capacities; such arrangements can be executed even by an amateur software engineer).

2019-05-13 11:29:49.622000+00:00 Read the full story.
Interest Score: 1.0434, Positive Sentiment: 0.2197, Negative Sentiment 0.0366

The Oil Industry’s Data Revolution — The Motley Fool

Oil drilling has evolved over the years. Companies used to make educated guesses on where to drill new wells, hoping they’d hit a gusher. Today, they target wells with pinpoint precision into the sweet spot of an oil reservoir. That’s making wells increasingly more productive, enabling oil companies to pump more oil for less money.
They’re able to do that by using data to drive drilling decisions. That trend was on full display during the first quarter as several drillers delivered stronger-than-expected results, in large part because of the increased use of data and other technology to improve well productivity.
2019-05-11 00:00:00 Read the full story.
Interest Score: 1.0365, Positive Sentiment: 0.3668, Negative Sentiment 0.0957

Fast-growing sales tech startup Highspot leases big Seattle waterfront office with room for 800 people

The startup that builds artificial intelligence-powered sales software has leased two floors with options to take more at the World Trade Center East building near the Seattle waterfront. The 55,000-square-foot space, which will be ready around the end of the year, will have room for roughly 450 people.
Today, Highspot has about 200 employees and expects to hit 300 when it moves into the space. The company will hold on to its existing offices in Seattle, giving it a total footprint of more than 90,000 square feet and capacity for roughly 800 employees.
2019-05-07 22:34:08-07:00 Read the full story.
Interest Score: 0.9949, Positive Sentiment: 0.2912, Negative Sentiment 0.0971

More people are going to be healthily living past 100, and Bank of America sees a $610 billion market there by 2025

In the near future, more humans will be living longer and healthier past the age of 100.
Analysts at Bank of America see a market that could be worth $610 billion by 2025, up from $110 billion today. It’ll largely by driven via advancements in technology, both used preventatively and to treat some of the conditions associated with getting older.
“Technology is on the cusp of bringing unprecedented increases to the quality, and length of human l…
2019-05-11 00:00:00 Read the full story.
Interest Score: 0.9752, Positive Sentiment: 0.1625, Negative Sentiment 0.1161

Regaining Control of Hyperconnected Enterprise Requires Dose of Ordr

We are rapidly moving toward a world where almost everything is connected, and this will increase the number of networked devices by orders of magnitude. IT professionals used to keep track of the number of devices per person as a way of gauging how many connected endpoints there were. Pre-BYOD businesses had about two devices per employee comprising a single user device and a number of IT-owned ones such as printers and servers. Then came the ri…
2019-05-09 00:00:00 Read the full story.
Interest Score: 0.9721, Positive Sentiment: 0.1519, Negative Sentiment 0.2734

6 Ways Artificial Intelligence is Transforming Marketing Forever

If you’re a marketer or business owner in today’s competitive marketplace, you’ve probably tried just about everything you can think of to maximize your success. You’ve dabbled in digital marketing, visited trade shows, paid for print advertising, and incentivized customer testimonials. It’s probably resulted in lots of stress, sleepless nights, and CBD oil drops to give you the energy and focus to keep going.
Marketing requires multiple approac…
2019-05-08 20:44:39+00:00 Read the full story.
Interest Score: 0.9635, Positive Sentiment: 0.4889, Negative Sentiment 0.0288

Huawei is about to take on Oracle in the database market

Chinese tech giant Huawei will soon launch a new cloud database product in an attempt to take market share away from U.S.-base enterprise powerhouses like Oracle. That’s according to a report from The Information :
Huawei is planning to unveil its new cloud database product at an event scheduled for May 15 in Beijing, people familiar with the matter said. A Huawei manager, who spoke to The Information on condition of anonymity, said the company …
2019-05-10 08:05:54 Read the full story.
Interest Score: 0.9590, Positive Sentiment: 0.1744, Negative Sentiment 0.0872

This Univ. of Washington spinout just raised $5.8M to reimagine how doctors work with health records

Seattle startup TransformativeMed has a major beef with how health record systems work — or rather, don’t work for doctors. When the systems were designed, “the most expensive commodity in the process was forgotten — and that’s the doctor,” said TransformativeMed CEO Doug Cusick. “No one gave a damn about the doctor.”
Cusick and his team care about the doctor and are building software to help make their lives easier. The startup, a spinout of th…
2019-05-07 17:32:33-07:00 Read the full story.
Interest Score: 0.9369, Positive Sentiment: 0.1561, Negative Sentiment 0.1115

The Two Biggest Innovation Killers in Banking Today

Digitalization is having a massive, generally positive, impact on banking customers’ experience. Mobile and online services are taking accessibility to a new level and speeding up processing. Artificial intelligence and process automation will allow more personalization and customization of services.
In sharp contrast to that picture, digitalization is having a generally negative impact on banking employees’ experience. Stress and burnout are on the rise as digital technology allows employees to be constantly connected and interrupted resulting in longer hours and higher stress. The days lost to work-relate…
2019-05-13 00:01:04+00:00 Read the full story.
Interest Score: 0.9316, Positive Sentiment: 0.5130, Negative Sentiment 0.3780

AIMinds Kolkata Data Science Meetup Receives Great Response

AIMinds successfully held its sixth edition in Kolkata in collaboration NSHM Knowledge Campus, with the theme, “Data Scientist: The Job Of the 21st Century” on 11th May 2019.
Speakers for this meet-up were:-

  • Vivekananda Karmakar; Consulting Partner – Advanced Analytics, Wipro Ltd
  • Prof. Jaydip Sen; Head, School of Computing & Analytics; NSHM Knowledge Campus
  • Angshuman Bhattacharya, CEO & Co-Founder, SIBIA Analytics and Consulting Services Pvt …

2019-05-13 10:50:34+00:00 Read the full story.
Interest Score: 0.9056, Positive Sentiment: 0.3881, Negative Sentiment 0.0431

How Pica8 Brings Remote Provisioning Power to White Box Switches

Open networking software developer Pica8 has launched the Pica8 Nymble Automation Framework, which bundles together server-based tools and agents to automate software installation and configuration across open, white box and brite box switches. Nymble has the potential to displace industry network switching leaders, such as Cisco and Aruba, by bringing advanced automation tools to lower cost open and white box switches.
For the record: The term …
2019-05-06 00:00:00 Read the full story.
Interest Score: 0.9051, Positive Sentiment: 0.1509, Negative Sentiment 0.0670

Why It’s Time To Rethink Cyber Security At The Organisational Level

In the current era, where everything is getting connected, right from your mobile phones speaking to your smart televisions or an air conditioner, a sensor monitoring your health and fitness levels, a smart home system which is listening and acting to your voice commands, a personal assistant system like “Google Assistant”, “Siri” or “Alexa” responding to your instructions etc., this is made possible by using some of the prominent technology inno…
2019-05-13 10:08:49+00:00 Read the full story.
Interest Score: 0.8980, Positive Sentiment: 0.2566, Negative Sentiment 0.2993

Amazon Alexa transcripts live on, even after you delete voice records

Amazon doesn’t need to hear your voice recordings to know what you’ve said. It can read them. After Alexa hears its wake word — which can vary from “Echo” to “Alexa” to “computer” — the smart assistant starts listening and transcribes everything it hears. That’s why when you check your Alexa dialogue history, you can see text next to the recordings like “How’s the Weather” and “Set an Alarm.”
Amazon lets you delete those voice recordings, giving you a false sense of privacy. But the company still has that data, just not as a sound bite. It keeps the text logs of the transcribed audio on its cloud servers, with no option for you to delete them. Amazon said it erases the text transcripts from Alexa’s “main system,” but is working on removing them from other areas where the data can travel. “When a customer deletes a voice recording, we also delete the corresponding text transcript associated with their account from our main Alexa systems and many subsystems, and have work underway to delete it from remaining subsystems,” an Amazon spokesperson said in an email.
2019-05-09 07:40:00-07:00 Read the full story.
Interest Score: 0.8971, Positive Sentiment: 0.0508, Negative Sentiment 0.1185

Do the Latest Trade Tensions Put Nvidia’s Mellanox Acquisition at Risk?

Nvidia’s (NVDA) latest acquisition still needs a key sign-off in China. That could prove problematic given the recent political posturing of President Trump.
CEO Jensen Huang made a big bet on the future of datacenters with a $6.9 billion splash for Mellanox Technologies (MLNX) earlier this year, noting the importance of diversifying the gaming-heavy revenue base of the company, which has been susceptible to volatility amidst crypto use cases.
“The emergence of AI and data science, as well as billions of simultaneous computer users, is fueling skyrocketing demand on the world’s datacenters,” Huang said of the deal in March. “Addressing this demand will require holistic architectures that connect vast numbers of fast computing nodes over intelligent networking fabrics to form a giant datacenter-scale compute engine.”
2019-05-06 15:09:03-04:00 Read the full story.
Interest Score: 0.8787, Positive Sentiment: 0.1417, Negative Sentiment 0.4252

How Modeling Weather Forecasts Improves Business Decisions

There’s no denying that weather forecasts have gotten better, which has given millions of people and businesses the ability to make better plans. However, weather forecasts are still not perfect, and that creates a gray area. But thanks to the power of data science, it’s possible to put current weather forecasts into a real-world context, and fine tune our planning even more. On average, the three-day temperature forecasts that meteorologists produced in 2017 are just as accurate as the one-day forecasts that were generated in 2005, according to Eric Floehr, the founder and CEO of Intellovations, the maker of ForecastWatch, and the co-author of a study 12-year study of weather forecasts.
That’s quite the improvement in temperature forecasts, and the improvements will likely continue to improve, thanks to more data, better modeling, and cheaper computing. Meteorologists were showing some “skill” (i.e. beating a coin flip) with their nine-day forecasts in 2017, and it seems probable that we could have 15-day forecasts with some semblance of accuracy in the not-too-distant future. Despite the improvement in the science of weather forecasting, people still have a relatively poor understanding of weather forecasts, including misconceptions about the level of accuracy, Floehr says. That’s why he created ForecastWatch: to help businesspeople connect the dots between the available weather forecasts, the impacts it has on people, and what that means for their business.
2019-05-08 00:00:00 Read the full story.
Interest Score: 0.8592, Positive Sentiment: 0.3068, Negative Sentiment 0.1534

Facebook opens another Seattle building with room for 1,000 people, adding to huge engineering hub

Facebook’s Seattle office was already its largest engineering center outside of the Menlo Park, Calif. homebase, and now the social giant is opening up a new building with room for 1,000 more people.
Teams have begun moving into a building called Arbor Blocks 300, a six-story building with 196,000 square feet of office space at 300 Eighth Ave. N. in Seattle’s South Lake Union neighborhood, the company said. The office, which sits in the heart of…
2019-05-08 17:14:59-07:00 Read the full story.
Interest Score: 0.8550, Positive Sentiment: 0.0814, Negative Sentiment 0.0407

How Interactive Technology is Revolutionizing Workplace Collaboration

From artificial intelligence wearables to interactive displays connected to cloud SaaS platforms, collaborative technologies are changing the way we work, as well as where we work. Do you have specialist workers located in different offices in faraway lands? Perhaps your team includes contractors and freelancers who work remotely. More and more companies are moving in these directions, and for good economic reasons. Problems can result from this trend, however. Does your team feel disconnected and sporadic, and do varying time zones delay the manner in which work is being completed? How does management keep everybody motivated and working together on deadline? The workplace has become a multi-faceted beast, and the interactive technologies that have been emerging during the past decade have made workplaces more flexible, productive and satisfying in order to solve these issues.

  1. Wearables
  2. Cloud Services and Software as a Service (SaaS)
  3. Smart Meeting Rooms
  4. Encouraging Online Social Networking
  5. Workers Want Interactive Technologies
  6. Technologies for Projects
  7. Huddle Rooms
  8. Summary

2019-05-13 00:00:00 Read the full story.
Interest Score: 0.7965, Positive Sentiment: 0.3819, Negative Sentiment 0.0873

How To Create Simple Keyword-based Movie Recommender Models From Scratch

Have you ever tried to use a movie recommender? In theory, it is something useful that can help figure out what to watch next instead of browsing through Netflix for a few hours, but their results tend to be hit-or-miss. This is a problem that most people can relate to, so I decided to create a homemade recommender system myself and share it in this blog post. I will show you how to create 3 simple recommender models from scratch that accept a movie as input and return the “n” most similar movies as output, with “n” being provided by the user.
In general, recommender systems are either content-based or collaborative with the user’s history and interests. I chose to create content-based models since they make predictions based on the specific input item (movie) and not based on the user. Note that the recommendations for this blog are based entirely off of movie keywords. As you will see, it is fairly simple to use other text information, such as plot outlines or plot synopses, instead of movie keywords.
2019-05-12 22:19:43.517000+00:00 Read the full story.
Interest Score: 0.7801, Positive Sentiment: 0.1658, Negative Sentiment 0.0369

Amazon warehouses use machines that can pack boxes 5 times faster than humans is rolling out machines to automate a job held by thousands of its workers: boxing up customer orders. The company started adding technology to a handful of warehouses in recent years, which scans goods coming down a conveyor belt and envelopes them seconds later in boxes custom-built for each item, two people who worked on the project told Reuters.
Amazon has considered installing two machines at dozens more warehouses, removing at least 24 roles at each one, these people said. These facilities typically employ more than 2,000 people. That would amount to more than 1,300 cuts across 55 U.S. fulfillment centers for standard-sized inventory. Amazon would expect to recover the costs in under two years, at $1 million per machine plus operational expenses, they said.
2019-05-13 00:00:00 Read the full story.
Interest Score: 0.7657, Positive Sentiment: 0.1276, Negative Sentiment 0.2127

TCAV: Interpretability Beyond Feature Attribution

It’s not enough to know if a model works, we need to know how it works : Sundar Pichai
The emphasis today is slowly moving towards model interpretability rather than model predictions alone. The real essence of Interpretability, however, should be to make Machine learning models more understandable for humans and especially for those who don’t know much about machine learning. Machine Learning is a very powerful tool and with such power comes a responsibility to ensure that values like fairness are well reflected within the models. It is also important to ensure that the AI models do not reinforce the bias that exists in the real world. To tackle such issues, Google AI Researchers are working on a solution called TCAV (Testing with Concept Activation Vectors) to understand what signals the neural network models use for their prediction.
2019-05-09 12:50:33.893000+00:00 Read the full story.
Interest Score: 0.7593, Positive Sentiment: 0.0000, Negative Sentiment 0.0759

All Signs Point to Cloud Optimization

Recently, there has been a growing awareness around the issue of cost control in the public cloud. This is a heartening trend in cloud computing, specifically with regard to the public cloud infrastructure-as-a-service (IaaS) market. Now that public cloud has reached a key peak in growth, there’s a common theme. While new services and products continue to develop, more and more of them are focusing on not just creating capabilities that were previously lacking—they’re focused on optimizing what already exists.
ARE CLOUD SERVICES STILL GROWING? Before we dive into optimization, let’s consider how the cloud market continues to grow in 2019 and beyond. Gartner estimates that $206 billion will spent on public cloud services in 2019, up 17% from 2018 as outlined in the table below…
2019-05-15 00:00:00 Read the full story.
Interest Score: 0.7213, Positive Sentiment: 0.2271, Negative Sentiment 0.1603

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