Industry News

Industry News

ML/AI News : Researchers Build Framework To Avoid Machine Learning’s “Undesirable Outcomes” : Artificial Intelligence and Machine Learning Trends in 2020 : Could Auditing Tools Help Fight Algorithmic Bias? : Python use cases for trading desks

AI & Machine Learning News. 09, December 2019

AI & Machine Learning News. 09, December 2019

The Artificial Intelligence and Machine Learning Newsletter by CloudQuant

The Artificial Intelligence and Machine Learning News clippings for Quants are provided algorithmically with CloudQuant’s NLP engine which seeks out articles relevant to our community and ranks them by our proprietary interest score. After all, shouldn’t you expect to see the news generated using AI?

Battle of the Quants : Big Data takes place tomorrow (December 10th) at the De Vere Grand Connaught Rooms, London.

AHL, Cantab, IBM, Google, QuantBot and many more round out the sensational lineup of quantitative experts to grace the agenda in next weeks’ Battle! Learn how quants are surviving with irrational markets and where the institutional money is flowing from CPP, SEB, LGT, Railpen and Kaleidoscope. ESG is a hot topic as is Quantum and Digital Asset Trading; we have some of the smartest, most sophisticated speakers meeting these complex challenges head on. Also, interested in opening the kimono to Jim Simons secret trading at RenTec? Well it’s open and hot off the presses, ‘The Man who Solved the Market: How Jim Simons Launched the Quant Revolution’ will be at the Battle. Don’t miss your complimentary signed copy!
CloudQuant CEO Morgan Slade will be attending and taking part in one of the panels. Be sure to say hello!
There is still time to Register.

Researchers Build Framework To Avoid Machine Learning’s “Undesirable Outcomes”

Researchers at Stanford and the University of Massachusetts Amherst have introduced a framework for designing machine learning (ML) algorithms that make it easier for potential users to specify safety and fairness constraints. Details of the framework were recently published in Science (DOI: 10.1126/science.aag3311).
According to the paper’s authors, current machine learning algorithms “often exhibit undesirable behavior, from various types of bias to causing financial loss or delaying medical diagnoses.” What’s worse, the burden of avoiding these pitfalls often falls on the user of the algorithm and not the algorithm’s designer.
The framework “allows the user to constrain the behavior of the algorithm more easily, without requiring extensive domain knowledge or additional data analysis,” the author’s write, which shifts the burden of ensuring that the algorithm is well-behaved from the user of the algorithm to the designer of the algorithm.

2019-12-05 22:30:16+00:00 Read the full story…
Weighted Interest Score: 5.5815, Raw Interest Score: 1.6381,
Positive Sentiment: 0.1560, Negative Sentiment 0.3380

CloudQuant Thoughts : Anything that helps reduce the possibility of Bias in ML and AI is a winner.

Artificial Intelligence and Machine Learning Trends in 2020

Artificial Intelligence and Machine Learning have reached a critical tipping point and will increasingly augment and extend virtually every technology enabled service, thing, or application.” – Gartner

An article on the future of AI and machine learning mentions that while cloud technology offers “agility to business processes,” artificial intelligence (AI) and machine learning (ML) technologies can jointly transform b…
2019-12-03 08:35:54+00:00 Read the full story…
Weighted Interest Score: 4.7216, Raw Interest Score: 2.4257,
Positive Sentiment: 0.2236, Negative Sentiment 0.1341

CloudQuant Thoughts : This one was already covered in our Thursday Alternative Data Blog post but as mentioned there, it is more suited to this Newsletter. This is another of those entertaining summary articles which weave a large number of interesting links into a cohesive narrative, in this case AI/ML trends for 2020. Of all the trends listed “Trust Deficit” seems to be one of the hottest topics at the moment (Data Governance, Data Quality, and Data Stewardship).

Could Auditing Tools Help Fight Algorithmic Bias?

Like people, algorithms can have significant blind spots, and when they get things wrong, they can have a significant impact on society. And as algorithms become increasingly ubiquitous, the choices they make for us will have far-reaching implications, according to Aron Culotta, associate professor of Computer Science at the Illinois Institute of Technology. When algorithms make errors that are somehow unfair or are systematically biased against certain groups of people, they reinforce and worsen any existing inequities.”
“In applications like criminal sentencing, loan applications and self-driving cars, we need algorithms that are not only accurate, but also error-free,” said Culotta. “When algorithms make errors that are somehow unfair or are systematically biased against certain groups of people, they reinforce and worsen any existing inequities.” Algorithmic bias often stems from the data that is used to train the algorithm. And because bias runs deep in humans on many levels, training algorithms to be completely free of those biases is a nearly impossible task, said Culotta. Even if you want to combat bias, knowing where to look for it can be harder than it sounds.
In data science, there are four kinds of findings:

  • True positives: when an algorithm spots a real-world pattern.
  • False positives: when an algorithm identifies a pattern but there isn’t one.
  • True negatives: when there is no pattern, and the algorithm doesn’t identify one, either.
  • False negatives: when the algorithm fails to spot a pattern that exists in the real world.

2019-12-06 00:00:00 Read the full story…
Weighted Interest Score: 4.3085, Raw Interest Score: 1.4381,
Positive Sentiment: 0.1934, Negative Sentiment 0.4955

CloudQuant Thoughts : I particularly liked the clear definition of the four kinds of finding that I pulled out above and the “Fairness Tree” in the article. Aequitas certainly seem to be on to something.

Python use cases for trading desks – Cuemacro

If there’s one thing I get asked most by traders, it is usually a question about how to learn Python! I recently taught a Python for finance course at Queen Mary University of London. Judging by the take up of the course, Python is also a topic of interest for students wanting to break into the finance industry, not just for traders already in the industry. Subtle plug alert here.. I’ve started teaching my Python for finance workshop in-house too, so if you’re at a financial firm, and you’d like me to come and teach it at your firm drop me a message! I’m currently taking bookings for early 2020!
Another question I often get asked is what are the use cases for Python within a trading desk? Sometimes folks want to learn Python, but say Excel appears to cater for most of their needs. In practice, it’s usually the case, that traders have had to adapt to the limitations of what Excel does. Python basically opens up many possibilities for trading desk tools, which are limited by Excel. Here we’ll list a few examples of the types of tasks you could do in Python on a trading desk to help traders.
2019-12-08 00:00:00 Read the full story…
Weighted Interest Score: 4.1789, Raw Interest Score: 1.6306,
Positive Sentiment: 0.2060, Negative Sentiment 0.1716

CloudQuant Thoughts : Simple answer, if you are still using Excel you are far, far behind the times. Of course you should learn Python, even if you do not use it for trading it will still benefit you in the future.

AI Predictions for 2020: Customizable, Edge Computing, Data Transparency, RPA, Chatbots

We reached out to a range of AI practitioners for their predictions on AI Trends in 2020. Here is a selection of their responses:

  • Customizable approaches to deep learning will make or break AI applications.
  • Manufacturers will move toward the edge.
  • The Fate of AI Depends on AI
  • We’ve seen this type of technology gold rush before, and unless we address the core issues at hand, we will be doomed to fail.
  • In 2020, tech companies (AI in particular) will be held to a stricter standard of transparency.
  • The AI industry must address issues of power asymmetry.
  • Increased operationalization of AI/ML Yields Business Value.
  • Predicting Volatile Order Patterns
  • Market Sensing
  • Chargeback Reduction
  • The GDPR and China’s “Great Firewall” have led to the Splinternet of Things
  • Closing the Skills Gap in the Digital Era.
  • Chatbots will become relevant across every function.
  • “Chatbot soup” is inevitable, creating an even larger problem.
  • NLP will proliferate more in 2020.
  • RPA will play a pivotal role in global data privacy and governance initiatives.
  • Hiring for RPA skills will explode across all industries and job functions by the end of 2020.
  • Intelligent (AI-driven) automation will replace rules-based automation entirely.

2019-12-05 22:30:58+00:00 Read the full story…
Weighted Interest Score: 4.1724, Raw Interest Score: 1.8598,
Positive Sentiment: 0.1823, Negative Sentiment 0.2735

The AI Chip Market Is Heating Up — 3 Important Developments You May Have Missed

Over the past several years, artificial intelligence (AI) has quietly become part of our daily lives. The smart replies generated by your email or smartphone, the tagging of photos on social media, product recommendations on e-commerce sites, the directions provided by mapping apps, and the music and video recommendations on streaming services all use the predictive power of AI.
Graphics processing units (GPUs) from NVIDIA (NASDAQ:NVDA) were the early beneficiary of the trend, resulting in staggering growth since the dawn of AI. The massive parallel processing capability of GPUs to render images also turned out the be the best available solution for AI systems. The company’s rivals have been scrambling to build a better mousetrap in an effort to seize control of the lucrative AI chipset market.
Three recent developments show just how heated the competition has become:

  1. Billions of dollars to gain an edge
  2. A different approach
  3. re:Invent-ing the AI chip

2019-12-08 00:00:00 Read the full story…
Weighted Interest Score: 3.8871, Raw Interest Score: 1.7224,
Positive Sentiment: 0.3076, Negative Sentiment 0.1230

U.S.-Israeli startup Gong raises $65 million, doubling total funding

TEL AVIV (Reuters) – U.S.-Israeli startup Gong said on Tuesday it has raised $65 million in a funding round led by Sequoia Capital, bringing its total raised to $134 million.

Existing investors Battery Ventures, Norwest Venture Partners, Israeli businessman Shlomo Kramer, Wing Venture Capital, NextWorld Capital and Cisco Investments also participated in the round.

Gong uses artificial intelligence to help businesses understand customer interact…
2019-12-03 13:59:16+00:00 Read the full story…
Weighted Interest Score: 3.7862, Raw Interest Score: 2.0067,
Positive Sentiment: 0.1115, Negative Sentiment 0.0000

Assets under management will more than double to reach USD5.3 trillion by 2025 in Latin America

Although currently a number of countries in Latin America face political and economic uncertainty, the long term growth prospects for the asset and wealth management industry remain strong, according to a new report published by PwC and Sura Investment Management.

The report, titled Asset and Wealth Management Revolution: Latin America’s flourishing opportunities, finds that, despite the challenges faced by the region, assets have grown by 7.9 p…
2019-12-09 00:00:00 Read the full story…
Weighted Interest Score: 3.7508, Raw Interest Score: 2.2074,
Positive Sentiment: 0.4233, Negative Sentiment 0.1512

Intrinio: A Marketplace Providing Investors Affordable Datasets • Integrity Research

The use of data driven investment processes has definitely grown over the past few years as the growth of ETFs and other cost pressures has prompted a reevaluation of the asset management business. As a result, a number of data marketplaces have sprung up to feed this growing appetite for data. One such firm whose purpose is trying to provide investors and Fintech innovators with affordable high quality data is Intrinio.
Intrinio Profile
Recently, Integrity Research was working for a client to help them find a new source of data for their research process. As part of our due diligence efforts we discovered a data vendor named Intrinio that not only collects and markets a number of datasets under their own brand, but that has also built a data marketplace – offering investors more than 250 unique datasets provided by numerous third-party data sources. The following profile provides more background on the firm.

2019-12-09 02:30:11+00:00 Read the full story…
Weighted Interest Score: 3.7340, Raw Interest Score: 1.7406,
Positive Sentiment: 0.0744, Negative Sentiment 0.0446

Traders Turn Bullish on Communication Services Sector

The communication services sector of the financial markets usually goes relatively under-followed due to the nature of the underlying businesses. More specifically, companies that provide data-transmission, cellular, wireless communication services, and related content and information through various types of media tend to get overlooked in favor of higher-growth segments such as semiconductors, artificial intelligence, and machine learning.
In this article, we’ll take a look at the triangle patterns that are forming on charts across the communication services sector and discuss why this could be the sector to watch for the remainder of 2019 and likely for the first part of 2020.

2019-12-04 22:02:43.330000+00:00 Read the full story…
Weighted Interest Score: 3.5654, Raw Interest Score: 1.4607,
Positive Sentiment: 0.0562, Negative Sentiment 0.1124

FINRA CAT LLC Selects Exegy® Data Capture Services

Exegy Inc., the leading provider of managed services and low-latency technology for market data normalization and distribution, has today announced that its data capture and normalization services have been selected by FINRA CAT LLC as the provider of high-precision historical market data for the Consolidated Audit Trail (CAT). “We are delighted to be working with FINRA CAT and expanding the scope of our services to the Consolidated Audit Trail. …
2019-12-02 00:00:00 Read the full story…
Weighted Interest Score: 3.4513, Raw Interest Score: 1.7517,
Positive Sentiment: 0.2217, Negative Sentiment 0.0222

Nvidia trains AI to transform 2D images into 3D models

vidia Research created an AI system that can predict 3D properties of 2D images without any 3D training data. The work will be presented at the annual conference on Neural Information Processing Systems, where researchers in academia and industry share the latest in cutting-edge machine learning. Now in its 33rd year, the conference formerly known as NIPS will take place this week in Vancouver, Canada. With more than 18,000 participants, NeurIPS is the largest AI research conference of the year.
The work, which was conducted by researchers from Vector Institute, University of Toronto, Nvidia Research, and Aalto University, is detailed in the paper “Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer.”

2019-12-09 00:00:00 Read the full story…
Weighted Interest Score: 3.3146, Raw Interest Score: 1.7922,
Positive Sentiment: 0.0664, Negative Sentiment 0.0000

4 ‘Legacy’ Tech Stocks that Could Post Big Rebounds

Technology stocks are on a tear this year as they dramatically outperform the rest of the market. But not all tech stocks are enjoying the rise. Shares of several legacy tech companies are lagging, including Cisco Systems Inc. (CSCO), International Business Machines Corp. (IBM), HP Inc. (HPQ), and Hewlett Packard Enterprise Co. (HPE). But as these adjust to the changing tech industry and begin shifting their businesses to subscription-based softw…
2019-12-06 11:35:01.869000+00:00 Read the full story…
Weighted Interest Score: 3.1484, Raw Interest Score: 1.6779,
Positive Sentiment: 0.2004, Negative Sentiment 0.1753

10 Trends That Will Shape the Global Economy Over the Next Decade

The last 10 years have been eventful ones, mostly shaped by the fallout of the global financial crisis and mixed recovery that followed. But as the global economy gets set to enter a new decade, don’t expect some sort of return to normalcy, whatever that might be. With interest rates at historic lows, a planet that is heating up, deflationary pressures everywhere, a rapidly aging population, and so on, the next 10 years will be a “peak decade” wi…
2019-12-02 07:02:40.857000+00:00 Read the full story…
Weighted Interest Score: 3.1120, Raw Interest Score: 1.7524,
Positive Sentiment: 0.1383, Negative Sentiment 0.3689

BioSig Announces New Collaboration on Development of AI Solutions in Healthcare

According to a recent press release, “BioSig Technologies, Inc., a medical technology company developing a proprietary biomedical signal processing platform designed to improve signal fidelity and uncover the full range of ECG and intra-cardiac signals, today announced that the Company entered into a technical collaboration with Reified Capital, a provider of advanced artificial intelligence-focused technical advisory services to the private sect…
2019-12-09 08:10:01+00:00 Read the full story…
Weighted Interest Score: 3.0649, Raw Interest Score: 1.9261,
Positive Sentiment: 0.4164, Negative Sentiment 0.0521

Charles Schwab Stock: A Top Pick for 2020

The Charles Schwab Corporation (SCHW) turned the discount brokerage industry upside down in October 2019, cutting commissions on equity and options trades to zero.(See also: Schwab Cuts Base Commissions to Zero.) The move, intended to challenge Robinhood and other rapidly growing internet innovators, was matched quickly by other competitors, setting off an industry decline that dropped shares of TD Ameritrade Holding Corporation (AMTD) and E*TRAD…
2019-12-09 13:50:10.222000+00:00 Read the full story…
Weighted Interest Score: 3.0575, Raw Interest Score: 1.5243,
Positive Sentiment: 0.3387, Negative Sentiment 0.4113

10 Free Top Notch Machine Learning Courses

Are you interested in studying machine learning over the holidays? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to improving your machine learning skills.

By Matthew Mayo, KDnuggets.

The holidays are upon us, and if you’re looking for something to occupy some down time in between events with family, friends, and coworkers, why not do so with quality, free online courses?

This is…
2019-12-10 00:00:00 Read the full story…
Weighted Interest Score: 2.9902, Raw Interest Score: 2.1101,
Positive Sentiment: 0.1780, Negative Sentiment 0.0890

Deep Neural Networks, Big Data, AI, and the Road to Autonomous Systems

Autonomous driving – green light, red light, or yellow?

Earlier this year Tesla CEO Elon Musk said the future is now. By the middle of 2020, he said at an event for investors, Tesla’s autonomous system will have improved to the point where drivers will not have to pay attention to the road. He revealed that Tesla has plans to roll out Level 5 autonomous taxis next year in some parts of the United States, which means they will be capable of drivi…
2019-12-05 08:35:00+00:00 Read the full story…
Weighted Interest Score: 2.9489, Raw Interest Score: 1.5402,
Positive Sentiment: 0.2458, Negative Sentiment 0.1147

Mediolanum Group opens new European Funds HQ

Mediolanum Banking Group has officially opened it new European Asset Management Headquarters in Dublin. The Irish operations of Banca Mediolanum comprise Mediolanum International Funds Limited (MIFL) and Mediolanum International Life Dac.

Mediolanum Banking Group has had a presence in Dublin since 1997. MIFL is responsible for the design, development, investment management and distribution of investment funds distributed to approximately 1.5 mil…
2019-12-09 00:00:00 Read the full story…
Weighted Interest Score: 2.8761, Raw Interest Score: 1.6829,
Positive Sentiment: 0.1329, Negative Sentiment 0.0000

Broadridge Brings New AI/ML Platform

olutions, Inc. (NYSE: BR), a global Fintech leader and part of the S&P 500® Index, today announced the launch of Broadridge Data Control Intelligent Automation, a new artificial intelligence (AI) and machine learning (ML) platform built to be deployed across industry-wide reconciliation, matching and exception management applications.

Broadridge has teamed with Singapore-headquartered Tookitaki Holding Pte Limited, to utilize their award-winning AI and ML technology to deliver a next-generation platform addressing industry-wide reconciliation, matching and exception processing inefficiencies. Customers will …
2019-12-09 01:02:33+00:00 Read the full story…
Weighted Interest Score: 2.6518, Raw Interest Score: 1.7260,
Positive Sentiment: 0.3452, Negative Sentiment 0.2390

New Artificial Intelligence and Machine Learning Platform for Reconciliation, Matching and Exception Management Operations Introduced by Broadridge

r 3, 2019 – Broadridge Financial Solutions, Inc. (NYSE:BR), a global Fintech leader and part of the S&P 500® Index, today announced the launch of Broadridge Data Control Intelligent Automation, a new artificial intelligence (AI) and machine learning (ML) platform built to be deployed across industry-wide reconciliation, matching and exception management applications.

Broadridge has teamed with Singapore-headquartered Tookitaki Holding Pte Limited, to utilize their award-winning AI and ML technology to deliver a next-generation platform addressing industry-wide reconciliation, matching and exception processing ine…
2019-12-03 00:00:00 Read the full story…
Weighted Interest Score: 2.6469, Raw Interest Score: 1.7228,
Positive Sentiment: 0.3446, Negative Sentiment 0.2385

The future of retail: how AI can help customers and businesses

Since the past five years, there have been significant advancements in artificial intelligence (AI) throughout a variety of different industries, retail and otherwise.

While these exciting and innovative advancements may not necessarily be known to the end consumer, there are a couple of considerable AI implementations that have been made in the retail sector.

Sure, these implementations have not been made by most small retailers due to high integration costs, accessibility complications…
2019-12-02 13:44:13+00:00 Read the full story…
Weighted Interest Score: 2.5909, Raw Interest Score: 1.3393,
Positive Sentiment: 0.5022, Negative Sentiment 0.1953

Sisense Deepens Relationship With AWS, Announces New Agreements

A recent press release, “Sisense, the world’s leading analytics platform for builders, expanded its relationship with Amazon Web Services (AWS) via three new agreements announced today at AWS re:Invent 2019. Sisense has secured Amazon Redshift Ready designation, joined the AWS Partners Network (APN) Global Startup Program, and achieved AWS Data & Analytics Competency. Companies of all sizes are becoming more data-centric and data-savvy. As the co…
2019-12-09 08:05:32+00:00 Read the full story…
Weighted Interest Score: 2.5369, Raw Interest Score: 1.6166,
Positive Sentiment: 0.3695, Negative Sentiment 0.0000

Inside Intel’s billion-dollar transformation in the age of AI

As I walked up to the Intel visitor center in Santa Clara, California, a big group of South Korean teenagers ran from their bus and excitedly gathered round the big Intel sign for selfies and group shots. This is the kind of fandom you might expect to see at Apple or Google. But Intel?



Then I remembered that Intel is the company that put the “silicon” in Silicon Valley. Its processors and other technologies provided…
2019-12-07 09:00:40 Read the full story…
Weighted Interest Score: 2.4131, Raw Interest Score: 1.3033,
Positive Sentiment: 0.1928, Negative Sentiment 0.0997

Predictive Analytics Advances Rewrite Rules On Corporate Conferences

In years past, it was quite the cumbersome task to put together corporate conferences for the dissemination of important information and trends among industry stakeholders. It was only within the last few years that advancements in technology have provided efficient ways to bring large groups of stakeholders together for them to share information.

One of the hot topics on the conference circuit today is how business owners and principals can use…
2019-12-04 22:05:46+00:00 Read the full story…
Weighted Interest Score: 2.2079, Raw Interest Score: 1.2070,
Positive Sentiment: 0.4023, Negative Sentiment 0.0894

You won’t need to be techy to work in tech

l skills to perform many of the roles.

In a sign that the local employment market is starting to shift towards a tech-led future, the top 15 high growth job titles for 2020 are all tech-related with artificial intelligence specialists leading the way, followed by cyber security, marketing automation specialists and robotics engineers.

In terms of how this list comes to fruition, LinkedIn define an “emerging job” as a role that has seen tremendous growth in a region.

The analysis is done on all LinkedIn members with a public profile that have held a full-time position within Australia during the past five years. O…
2019-12-06 00:00:00 Read the full story…
Weighted Interest Score: 2.1903, Raw Interest Score: 1.5117,
Positive Sentiment: 0.1512, Negative Sentiment 0.0000

Professor Takes on Big Data on banking in Hearing

Dr. Christopher Gillard, PhD., is a Professor of English at Macomb Community College and the Digital Pedagogy Lab Advisor. He was recently one of five witnesses to testify in front of the House Financial Services Committee in a hearing entitled: “ Banking on Your Data: the Role of Big Data in Financial Services.”

In his opening written statement, he noted, “The notion that companies like Facebook, Google, Amazon are entering into banking in orde…
2019-12-03 13:23:03+11:00 Read the full story…
Weighted Interest Score: 2.0367, Raw Interest Score: 1.4210,
Positive Sentiment: 0.2551, Negative Sentiment 0.3644

Machine learning could transform medicine. Should we let it?

In clinics around the world, a type of artificial intelligence called deep learning is starting to supplement or replace humans in common tasks such as analyzing medical images. Already, at Massachusetts General Hospital in Boston, “every one of the 50,000 screening mammograms we do every year is processed through our deep learning model, and that information is provided to the radiologist,” says Constance Lehman, chief of the hospital’s breast i…
2019-12-08 09:00:56 Read the full story…
Weighted Interest Score: 1.9778, Raw Interest Score: 1.3675,
Positive Sentiment: 0.1224, Negative Sentiment 0.2375

The new radicals: a better approach to wealth technology

The wealth industry has never found it easy to implement systems and adapt to new technologies. One reason for this is that there is a cultural divide between people who work in IT and people who manage money. That gap is reducing but nevertheless it remains. Compounding the issue, the technology landscape is now changing faster than ever and wealth firms have more and more options.

In the past wealth managers had numerous systems that operated …
2019-12-09 00:00:00 Read the full story…
Weighted Interest Score: 1.8036, Raw Interest Score: 1.3245,
Positive Sentiment: 0.2959, Negative Sentiment 0.2536

What To Know About The Essence Of AI In Video Editing In 2020

Artificial intelligence is playing a very important role in the future of video editing. Anybody that works in the profession should learn how to use AI technology to get the most value out of their videos.

How can you use AI to benefit as a video editor? Intelligent HQ founder Dinis Guarda has talked about some of the benefits of artificial intelligence for video editing in this article. Guarda stated that AI is helpi…
2019-12-04 22:26:57+00:00 Read the full story…
Weighted Interest Score: 1.7687, Raw Interest Score: 0.9743,
Positive Sentiment: 0.5093, Negative Sentiment 0.1329

Will Machine Learning Save The Struggling Airline Industry?

In June, Aviation Today published a great article on the state of machine learning and AI in the airline industry. The article showed that machine learning and AI are helping the industry become more lucrative in the 21st Century.

The airline industry has started relying more on machine learning technology as new challenges threaten to cripple its business. They will need it to survive if things go further south.

Machine Learning is the Key to Saving the Ailing Airline Indust…
2019-12-05 18:45:14+00:00 Read the full story…
Weighted Interest Score: 1.6631, Raw Interest Score: 1.1971,
Positive Sentiment: 0.2762, Negative Sentiment 0.2609

UOB app-only bank TMRW introduces fingerprint and facial recognition for account opening

Source: UOB

TMRW by UOB, the first mobile-only bank for ASEAN’s digital generation, today announced that it has enabled fingerprint and facial biometrics to make it speedier and safer for customers to open their TMRW accounts.

In doing so, TMRW is the first bank in Thailand to offer both forms of biometrics to enhance the account opening experience. TMRW customers are able to use the enhanced biometric capability at all 350 TMRW authentication …
2019-12-09 14:36:00 Read the full story…
Weighted Interest Score: 1.6164, Raw Interest Score: 1.2217,
Positive Sentiment: 0.4671, Negative Sentiment 0.0000

Tesla investor sees, worst case, a stock double by 2024, saying she has numbers to back it up

Ark Investment Management founder and CEO Catherine Wood told CNBC on Monday that, in the worst scenario, she sees Tesla stock nearly doubling by 2024.

“We have our ‘bear price,’ five-year target as $700,” said Wood, whose firm owns a considerable stake in the electric auto maker. “That would be if they lost two-thirds of market shares and had no autonomous” vehicles.

Shares of Tesla closed at $335.89 each on Friday. In a volatile year, the sto…
2019-12-09 00:00:00 Read the full story…
Weighted Interest Score: 1.6097, Raw Interest Score: 1.2116,
Positive Sentiment: 0.1212, Negative Sentiment 0.3635

The Hidden Gems of Writing Analytics

My advice to aspiring data juniors

The Hidden Gems of Writing Analytics

The golden ticket for me to work at Google, attract passive income, inspire data juniors,and many more

Source: Unsplash

4 years ago, in 2015, I became one of the early batches to take Analytics specialization for Singapore Management University.

Despite an initial influx of students trying out the specializations, Many business students found them hard and dropped out. T…
2019-12-09 13:59:14.223000+00:00 Read the full story…
Weighted Interest Score: 1.5532, Raw Interest Score: 0.9723,
Positive Sentiment: 0.4550, Negative Sentiment 0.0803

Imagining the future from an alternative perspective

Lucas Joppa, Microsoft Chief Environmental Officer, shares his vision of a planetary computer.

What do you believe creates our future? We believe it’s imagination. Take a moment to imagine with us. What if the clothes you wear could be both beautiful and alert you to increases in harmful pollution? What if cloud technologies based on optics could make datacenters more affordable and more sustainable? What if we could use every bit of data on eve…
2019-12-05 00:00:00 Read the full story…
Weighted Interest Score: 1.5480, Raw Interest Score: 0.9668,
Positive Sentiment: 0.3021, Negative Sentiment 0.1208

Predictive Tourism: The Merger Of Big Data In Travel Industry

Data science has shifted the existing ether bringing in new marvelous opportunities to many industries. In line with these immense possibilities, comes rapid changes and challenges. And in this case, the travel and tourism industry is no exception here. Travel industry may not be the first to inculcate emerging technology for its benefit, but it sure is benefiting from it now. This may be explained by the fac…
2019-12-02 12:40:55+00:00 Read the full story…
Weighted Interest Score: 1.5113, Raw Interest Score: 0.8022,
Positive Sentiment: 0.4126, Negative Sentiment 0.1604

Technology, not money could decide the US election

Chanticleer gained further insights from Smith during an interview in his office on the Microsoft campus in Redmond, Washington, in October. The incredibly well-connected executive revealed Trump’s team used Microsoft’s cloud product, Azure, to get an edge on the Democrats.

In his book, Smith said the Democrats told him they thought they had the best data analysis capabilities and lost the election despite that.

The Republicans told Smith the k…
2019-12-03 00:00:00 Read the full story…
Weighted Interest Score: 1.4925, Raw Interest Score: 0.7830,
Positive Sentiment: 0.3915, Negative Sentiment 0.0489

Opinion | Don’t Let China Win the Green Race

How? Just think about the options we could explore. We could expand the electric vehicle tax credit, making it fully refundable at the time of purchase. That means a person wouldn’t have to wait a year for their tax refund but would receive money back immediately when buying an electric vehicle. If these credits are tied to domestic manufacturing, private sector jobs will return to auto industry towns.

We could add two zeros to the end of the bu…
2019-12-09 00:00:00 Read the full story…
Weighted Interest Score: 1.4793, Raw Interest Score: 1.1246,
Positive Sentiment: 0.2959, Negative Sentiment 0.2664

Westpac’s tech mess could happen to anyone

But The Australian Financial Review has spoken with a roll call of local banking and finance tech leaders to try to understand the challenges that large, well-established operations face in keeping the lights on, while also trying to keep pace with an army of nimble open-banking fuelled tech start-ups eager to turn their customers’ heads.

Former ANZ CIO Anne Weatherston; former Westpac, Commonwealth Bank of Australia, Reserve Bank and current ML…
2019-12-04 00:00:00 Read the full story…
Weighted Interest Score: 1.4077, Raw Interest Score: 0.8502,
Positive Sentiment: 0.1742, Negative Sentiment 0.3624

World’s first AI-powered LEGO sorting machine built with 10,000 LEGO bricks [Exclusive Feature] | The Brothers Brick

There are some individuals who find sorting LEGO pieces therapeutic, but most of us loathe the task. And there are entirely non-LEGO machines that could do it, although what fun is that? Some people have tried to use LEGO to build sorting machines, yet their limitations have been quickly apparent. Enter Daniel West and his incredible Universal LEGO Sorting Machine! This baby uses Artificial Intelligence, with the most extensive index to date, to …
2019-12-06 00:00:00 Read the full story…
Weighted Interest Score: 1.3294, Raw Interest Score: 0.6650,
Positive Sentiment: 0.1970, Negative Sentiment 0.1724

Google co-founders step down as executives of parent Alphabet

“Today, in 2019, if the company was a person, it would be a young adult of 21 and it would be time to leave the roost,” they wrote in a blog post.

Alphabet – an umbrella corporation that the two created in 2015 – still boasts Google as its central fixture and key moneymaker. But it’s also made up of what are known as “other bets”, or longshot projects. That includes drone company Wing and self-driving car firm Waymo.

Page and Brin both have bee…
2019-12-04 00:00:00 Read the full story…
Weighted Interest Score: 1.3058, Raw Interest Score: 0.9851,
Positive Sentiment: 0.0916, Negative Sentiment 0.2978

5 Huge Benefits Of Big Data For Employee Scheduling For 2020

Big data is changing the way we live in tremendous ways. One impact of big data is the way that it influences employee scheduling.

Employee scheduling technology has been around for a long time. However, big data has led to a number of new features that are making it more reliable than ever.

Employee Scheduling Features that Are the Result of Big Data

Managers know that in order to keep a company runni…
2019-12-06 20:40:30+00:00 Read the full story…
Weighted Interest Score: 1.2337, Raw Interest Score: 1.0549,
Positive Sentiment: 0.2682, Negative Sentiment 0.1609

The State of Data Science in 2019 and How to Overcome the Talent Shortage

Join Anaconda’s Chief Technology Officer, Peter Wang, and Maria Khalusova, Developer Advocate at JetBrains, for a webinar where we’ll discuss the results of our 2019 survey and how the data science talent shortage will be addressed.

Watch Now.
2019-12-09 00:00:00 Read the full story…
Weighted Interest Score: 1.2295, Raw Interest Score: 0.8197,
Positive Sentiment: 0.0000, Negative Sentiment 0.4098

Scaling lifestyle medicine with technology

This post is from Dr Karan Mehta, an NHS physician and founder of Bluezone Insurance.

My Personal Journey and Insights

Having practiced clinical medicine in the NHS for 2 years, I have noticed a number of problems that I can no longer ignore. The undeniable one is the imbalance in demand and supply of healthcare resources — too many patients but too few healthcare professionals. This leads to an overworked workforce, poor management decisions a…
2019-12-08 00:00:00 Read the full story…
Weighted Interest Score: 1.1061, Raw Interest Score: 0.7879,
Positive Sentiment: 0.2179, Negative Sentiment 0.2850

World Childhood Foundation marks 20 years with focus on AI and child safety online

eauchere, Microsoft. Photograph: Susanne Drakborg

World Childhood Foundation, launched in 1999 by Queen Silvia of Sweden, recently marked 20 years of child protection with a roundtable on leveraging artificial intelligence (AI) to assist in tackling child sexual exploitation and abuse online.

The day-long event, held last month at the Royal Palace in Stockholm, brought together 60 AI experts, representatives from technology companies, child safety advocates, academics and others to explore new ways to combat the proliferation of child sexual exploitation and abuse imagery (CSEAI) online.

“How can we use AI as a c…
2019-12-06 00:00:00 Read the full story…
Weighted Interest Score: 0.8232, Raw Interest Score: 0.4547,
Positive Sentiment: 0.1352, Negative Sentiment 0.4915

How to Develop Detection and Response Strategy for Email Phishing?

Email communication even today remains a valuable tool because of its ubiquity. Organizations across various industries depend on business email as their primary means of reaching out to clients and employees as well as other stakeholders.

Although cybersecurity threats can spread through various channels, attackers know they can target more victims if they go through email. For this reason, email remains the top threat vector even in 2019.

2019-12-06 11:00:00+00:00 Read the full story…
Weighted Interest Score: 0.7656, Raw Interest Score: 0.5500,
Positive Sentiment: 0.1618, Negative Sentiment 0.4853

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