Industry News

Industry News

AI ML News November 2020 : Soccer AI cannot tell the linesman’s head from the ball! : CloudQuant nominated for Benzinga Fintech Awards 2020 : MIT develops new app which detects coronavirus by listening to your cough : In a chaotic year, AI is quietly accelerating the pace of space exploration

AI & Machine Learning News. 02, November 2020

AI & Machine Learning News. 02, November 2020

AI and Machine Learning Newsletter

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?

Soccer AI cannot tell the linesman’s head from the ball!
Second-tier Scottish football club Inverness Caledonian Thistle doesn’t have a camera operator for matches at their stadium so the club uses an AI-controlled camera that’s programmed to follow the ball for their broadcasts. But in a recent match against Ayr United, the AI controller kept moving the camera off the ball to focus on the bald head of the linesman, making the match all but unwatchable. No fans allowed in the stadium either, so the broadcast was the only way to watch.
2020-11-02 Read the Full Story…
CloudQuant Thoughts : I tried to write an AI to pan and zoom my wide camera shots for school basketball games, it is much harder than you would imagine!

CloudQuant nominated for Benzinga Fintech Awards 2020

In just 8 days CloudQuant will be attending the Benzinga Fintech Awards 2020 where we have been nominated for an award in the Best Data Analysis Tool catagory.
Head over to Benzinga to register and do not forget to click here to pop a vote in for CloudQuant.
Read the Full Story…

MIT develops new app which detects coronavirus by listening to your cough

Researchers have developed a new artificial intelligence (AI) system which they claim can detect coronavirus by analysing the sound of people coughing.

Scientists at Massachusetts Institute of Technology (MIT) said the AI works because the virus causes temporary muscular impairment which can cause small differences to people’s speech or the sound of their cough – even if they have no other symptoms.
2020-11-02 00:00:00 Read the full story…
Weighted Interest Score: 2.3931, Raw Interest Score: 1.2736,
Positive Sentiment: 0.3057, Negative Sentiment 0.1528

CloudQuant Thoughts : This is excellent but the news article is behind a paywall, see the details of the experiment at MIT news.

AI Weekly: In a chaotic year, AI is quietly accelerating the pace of space exploration

The year 2020 continues to be difficult here on Earth, where the pandemic is exploding again in regions of the world that were once successful in containing it. Germany reported a record number of cases this week alongside Poland and the Czech Republic, as the U.S. counted 500,000 new cases. It’s the backdrop to a tumultuous U.S. election, which experts fear will turn violent on election day. Meanwhile, Western and Southern states like Oregon, Washington, California, and Louisiana are reeling from historically destructive wildfires, severe droughts, and hurricanes.
Things are calmer in outer space, where scientists are applying AI to make exciting new finds. Processes that would have taken hours each day if performed by humans have been reduced to minutes, a testament to the good AI can achieve when used in a thoughtful way. While not necessarily groundbreaking, unprecedented, or state-of-the-art with regard to technique, the innovations are inspiring stories of discovery at a time when there isn’t a surfeit of hope.
2020-10-30 00:00:00 Read the full story…
Weighted Interest Score: 3.3789, Raw Interest Score: 0.9754,
Positive Sentiment: 0.1797, Negative Sentiment 0.3850

CloudQuant Thoughts : AI in space helping us to discover new planets from old NASA data, new craters in Mars for us to explore and new ways of seeing through the clouds. Nice to see AI streching its legs out there in space!

Intel Acquires Model Optimizer SigOpt

Intel Corp. is acquiring AI optimization software vendor SigOpt, a move the chip maker said would complement its existing AI software portfolio while integrating SigOpt’s tools with its AI hardware to accelerate and scale AI software used by model developers.

The acquisition also addresses the growing complexity of machine learning and neural network models and the resulting inability of hardware to keep pace.

Terms of the transaction announced…
2020-10-29 00:00:00 Read the full story…
Weighted Interest Score: 5.4913, Raw Interest Score: 2.6125,
Positive Sentiment: 0.1814, Negative Sentiment 0.1451

Federal Government Investments in AI Beginning to Pay Off

The federal government’s investments in AI since President Donald Trump signed an Executive Order calling for the US to maintain its leadership in AI in early 2019 have been substantial and are playing out in a range of agencies, as several speakers outlined on day two of the Second Annual AI World Government conference and expo held virtually this week.

Erwin Gianchandani, Deputy Assistant Director, Computer and Information …
2020-10-29 21:28:18+00:00 Read the full story…
Weighted Interest Score: 5.3111, Raw Interest Score: 1.9802,
Positive Sentiment: 0.2666, Negative Sentiment 0.0571

Broadridge’s LTX and Charles River Development to Take Corporate Bond Trading to the Next Level Using Artificial Intelligence

Broadridge Financial Solutions, a global fintech leader, today announced that its new artificial intelligence (AI)-driven digital trading platform, LTX , has been integrated with the Charles River Investment Management Solution (Charles River IMS) as part of a strategy to improve efficiency in the corporate bond market.Integrating with LTX enables Charles River’s order and execution management system (OEMS) users to digitize workflows in order to help improve liquidity, efficiency and best execution for …
2020-10-27 00:00:00 Read the full story…
Weighted Interest Score: 5.1665, Raw Interest Score: 2.3919,
Positive Sentiment: 0.7973, Negative Sentiment 0.0420

An Important Guide To Unsupervised Machine Learning

We’re living in an era of digital switch-over with only one constant – evolve. And that digital transformation is being introduced by high-tech solutions. Hence, it comes as no surprise that mundane business tasks are being completely taken over by tech advancements. Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun. With that being said, let’s have a closer look at ho…
2020-11-01 18:08:28+00:00 Read the full story…
Weighted Interest Score: 5.1657, Raw Interest Score: 1.9476,
Positive Sentiment: 0.1885, Negative Sentiment 0.0628

Is Your Data Ready for AI?

We’ve already figured out that AI has an immense potential to enhance business processes of many kinds in almost any industry imaginable. AI is poised to redefine conventional business models, enhance productivity, and drive value overall. When deploying it, companies tend to stick to a traditional scenario: first, outline an elaborate strategy, then attract excellent talent, secure the budget, develop a PoC, and so on. However, artificial intell…
2020-10-29 06:48:28 Read the full story…
Weighted Interest Score: 4.4589, Raw Interest Score: 1.7616,
Positive Sentiment: 0.2381, Negative Sentiment 0.3333

Understanding XGBoost Algorithm In Detail

XGBoost or extreme gradient boosting is one of the well-known gradient boosting techniques(ensemble) having enhanced performance and speed in tree-based (sequential decision trees) machine learning algorithms. XGBoost was created by Tianqi Chen and initially maintained by the Distributed (Deep) Machine Learning Community (DMLC) group. It is the most common algorithm used for applied machine learning in competitions and has gained popularity through winning solutions in structured and tabular data. It is open-source software. Earlier only python and R packages were built for XGBoost but now …
2020-11-02 05:30:27+00:00 Read the full story…
Weighted Interest Score: 4.4030, Raw Interest Score: 2.0504,
Positive Sentiment: 0.3629, Negative Sentiment 0.2540

Why Building a Machine Learning Model is Like Cooking

The first step in building a machine learning model is to prepare the data. Depending on the data infrastructure this may involve pulling raw data from a variety of sources to load into a database. In a mature company, data is in a database and the data scientist just needs to find the data they need for the model.

Likewise, the first step in cooking is to get the ingredients (the data). You may need to go to the grocery store to buy ingred…
2020-11-02 02:47:46.265000+00:00 Read the full story…
Weighted Interest Score: 4.2620, Raw Interest Score: 2.1752,
Positive Sentiment: 0.2003, Negative Sentiment 0.0572

How Can You Build a Career in Data Science & Machine Learning?

Machine Learning is the crux of Artificial Intelligence. With increasing developments in AI, IoT and other smart technologies, machine learning jobs are gaining higher exposure and demand in the technology market. If you are currently an IT professional, you might be interested in a career switch because of the exciting opportunities the industry offers to its aspirants. Or, you might have an interest that you have wanted to pursue long.

2020-11-01 09:49:59+00:00 Read the full story…
Weighted Interest Score: 3.9340, Raw Interest Score: 2.2061,
Positive Sentiment: 0.2134, Negative Sentiment 0.1024

AI-Enabled DevOps: Reimagining Enterprise Application Development

Today, advances in artificial intelligence (AI) and machine learning (ML) have opened up significant application possibilities, from sensor-driven weather prediction to driverless cars to intelligent chatbots. Development teams have enabled these breakthroughs by leveraging automation to rapidly prototype, iterate, and improve applications. As the scale, scope, and complexity of AI use cases increase, DevOps is fast becoming the preferred mode of build and deliver…
2020-10-28 00:00:00 Read the full story…
Weighted Interest Score: 3.6137, Raw Interest Score: 1.9127,
Positive Sentiment: 0.6302, Negative Sentiment 0.3096

Exploratory Data Analysis: Functions, Types & Tools

Discovered in the 1970s by American mathematician John Tukey, exploratory data analysis (EDA) is a method of analysing and investigating the data sets to summarise their main characteristics. Scientists often use data visualisation methods to discover patterns, spot anomalies, check assumptions or test a hypothesis through summary statistics and graphical representations.

EDA goes beyond the formal modelling or hypothesis to give maximum insight…
2020-11-01 12:30:40+00:00 Read the full story…
Weighted Interest Score: 3.5150, Raw Interest Score: 1.6729,
Positive Sentiment: 0.0376, Negative Sentiment 0.0376

Westpac-backed akin prepares to pitch human AI for float

Some of the hot money has moved on from ASX-listed artificial intelligence tearaway “billion dollar” Brainchip Holdings, but brokers and the founders of similar companies certainly have not.

Street Talk understands investor appetite for Brainchip – some fleeting, some more permanent – has helped inspire Sydney/San Francisco based AI company akin to accelerate its listing plans.

akin CEO Liesl Yearsley is expected to pitch Australian investors for a sharemarket float e…
2020-11-01 00:00:00 Read the full story…
Weighted Interest Score: 3.4739, Raw Interest Score: 1.4901,
Positive Sentiment: 0.0000, Negative Sentiment 0.0000

How the U.S. patent office is keeping up with AI

Technology keeps creating challenges for intellectual property law. The infamous case of the “monkey selfie” challenged the notion of not just who owns a piece of intellectual property, but what constitutes a “who” in the first place. Last decade’s semi-sentient monkey is giving way to a new “who”: artificial intelligence. The rapid rise of AI has forced the legal field to ask difficult questions about whether an AI can hold a patent at all, how …
2020-10-29 00:00:00 Read the full story…
Weighted Interest Score: 3.4049, Raw Interest Score: 1.3317,
Positive Sentiment: 0.2589, Negative Sentiment 0.2515

A Modern Architecture for Interactive Analytics on AWS Data Lakes

Built upon cost-efficient cloud object stores such as Amazon S3, cloud data lakes benefit from an open and loosely-coupled architecture that minimizes the risk of vendor lock-in as well as the risk of being locked out of future innovation. However, the many benefits of cloud data lakes are negated if data is duplicated into a data warehouse and then again into cubes, BI extracts and aggregation tables. Because of this, many organizations are now …
2020-11-10 00:00:00 Read the full story…
Weighted Interest Score: 3.3884, Raw Interest Score: 1.9008,
Positive Sentiment: 0.4959, Negative Sentiment 0.0000

Data Summit Connect Fall 2020 Presentations Now Available On-Demand

Videos of presentations from Data Summit Connect Fall 2020, a 3-day series of data management and analytics webinars presented last week by DBTA and Big Data Quarterly, are now available for on-demand viewing on the DBTA YouTube channel.

Whether your interests lie in the technical possibilities and challenges of new and emerging technologies or using the wealth of data your company is collecting for business intelligence, analytics, and other business strategies, Data Summit Connect Fall 2020 presentations have something for you—so take another look,…
2020-10-26 00:00:00 Read the full story…
Weighted Interest Score: 3.3012, Raw Interest Score: 1.7882,
Positive Sentiment: 0.0000, Negative Sentiment 0.4127

NASA’s New AI Tool Can Spot Craters On Mars

Amid NASA’s progress in AI research starting from ML model to predict hurricanes to partnering with Google to make quantum computing accessible, it has now developed a new AI tool to classify a cluster of craters on Mars.

The launch of this new AI tool, built on a machine learning algorithm, was aimed at helping scientists to reduce their process time of scanning a single Context Camera image. Thus, researchers from Jet Propulsion Laboratory (JP…
2020-10-26 08:06:58+00:00 Read the full story…
Weighted Interest Score: 3.2827, Raw Interest Score: 1.4302,
Positive Sentiment: 0.1117, Negative Sentiment 0.0670

Wine giants taps The Yield for microclimate data

ASX listed Treasury Wine Estates has signed a multiyear partnership with agtech The Yield to use its harvest predictions and weather notifications technology.

For the next three years Treasury Wine Estates will use The Yield’s Sensing+, a system for large scale growers to monitor and predict growing conditions based on microclimate data collected by farm sensors.

Sensing+ analytics help growers make decisions on when to irrigate, feed, plant, p…
2020-11-02 00:04:30+00:00 Read the full story…
Weighted Interest Score: 3.1954, Raw Interest Score: 1.1001,
Positive Sentiment: 0.3667, Negative Sentiment 0.0524

Trump faces executive order lawsuit as critical race theory fuels AI research

Today, civil rights groups — including the NAACP Legal Defense Fund — filed a lawsuit against the Trump administration on the grounds that a Trump executive order violates free speech rights and will “undermine efforts to foster diversity and inclusion in the workplace.” The lawsuit follows opposition to the executive order from a range of groups, including the U.S. Chamber of Commerce, as well as a federal agency’s recent intervention in a Micro…
2020-10-29 00:00:00 Read the full story…
Weighted Interest Score: 3.1328, Raw Interest Score: 1.5979,
Positive Sentiment: 0.0903, Negative Sentiment 0.6044

Databricks Plotting IPO in 2021, Bloomberg Reports

Databricks, which runs a unified data platform in the cloud and is the driving force behind Apache Spark, is preparing for an initial public offering (IPO), possibly in the first half of 2021, according to a report in Bloomberg last week.

The San Francisco company is looking at going public with a valuation in excess of $6.2 billion, which is what the company was worth a year ago when it raised $400 million in a Series F round, according to Bloo…
2020-10-26 00:00:00 Read the full story…
Weighted Interest Score: 3.0769, Raw Interest Score: 1.9475,
Positive Sentiment: 0.2264, Negative Sentiment 0.1359

Forrester: Top Emerging Technology Trends To Watch In 2021 And Beyond

CAMBRIDGE, Mass. , Oct. 22, 2020 /PRNewswire/ — According to Forrester (FORR: NASDAQ), the next decade will require CIOs to both respond to digital acceleration and proactively manage uncertainty. Rapidly changing consumer trends, complex security concerns, the ethical use of artificial intelligence, and the increasing impacts of climate change will drive businesses to incorporate systemic risk into their long-term planning.

The Forrester repor…
2021-11-02 00:00:00 Read the full story…
Weighted Interest Score: 3.0519, Raw Interest Score: 1.4881,
Positive Sentiment: 0.2790, Negative Sentiment 0.0775

Quantifying How COVID-19 Is Accelerating Digital Transformation

At eWEEK, we report on advances in conventional data centers and in cloud services providers, but we don’t report on interconnection centers often enough. That changes here in this article.

Data center interconnect (DCI) hardware and software connect two or more data centers together over short, medium or long distances using high-speed packet-optical connectivity. There is little data storage in a DCI facility; data in “flight” is directed and …
2020-10-28 00:00:00 Read the full story…
Weighted Interest Score: 2.9812, Raw Interest Score: 1.6078,
Positive Sentiment: 0.1473, Negative Sentiment 0.0368

Resiliency And Security: Future-Proofing Our AI Future

On the first day of the Second Annual AI World Government conference and expo held virtually October 28-30, a panel moderated by Robert Gourley, cofounder & CTO of OODA, raised the issue of AI resiliency. Future-proofing AI solutions requires keeping your eyes open to upcoming likely legal and regulatory roadblocks, said Antigone Peyton, General Counsel & Innovation Strategist at Cloudigy Law. She takes a “use as l…
2020-10-28 21:16:59+00:00 Read the full story…
Weighted Interest Score: 2.9633, Raw Interest Score: 1.1165,
Positive Sentiment: 0.1218, Negative Sentiment 0.3654

Multivariate Time Series Forecasting with LSTM in Tensorflow 2.0

Prerequisites: The reader should already be familiar with neural networks and, in particular, recurrent neural networks (RNNs). Also, knowledge of LSTM or GRU models is preferable. If you are not familiar with LSTM, I would prefer you to read LSTM- Long Short-Term Memory.

In Sequence to Sequence Learning, an RNN model is trained to map an input sequence t…
2020-10-29 06:42:30+00:00 Read the full story…
Weighted Interest Score: 2.9380, Raw Interest Score: 1.6523,
Positive Sentiment: 0.0198, Negative Sentiment 0.0989

A Primer on Getting Started with Data Science for Beginners

This article was published as a part of the Data Science Blogathon. Introduction

. “Companies are investing hugely in data science.”

After completing my engineering and starting my job I was continuously been bombarded with these statements on the internet. I was puzzled and like Lord Buddha wanted to know life’s truth, I also wanted to clarify my doubts. For seeking answers, I searched the internet, approached many people in/out of this domain…
2020-11-02 11:00:42+00:00 Read the full story…
Weighted Interest Score: 2.8779, Raw Interest Score: 1.5904,
Positive Sentiment: 0.1383, Negative Sentiment 0.0807

Employee Attrition Analysis using Logistic Regression with R

“To win in the market place you must win in the workplace” –Steve Jobs, founder of Apple Inc.


This article was published as a part of the Data Science Blogathon

Why are we using logistic regression to analyze employee attrition?

Whether an employee is going to stay or leave a company, his or her answer is just binomial i.e. it can be “YES” or “NO”. So, we can see our dependent variable Employee Attrition is just a categorical variable. In the case of a dependent categorical variable, we can not use linear regression, in that case, we have to …
2020-11-01 09:53:41+00:00 Read the full story…
Weighted Interest Score: 2.8280, Raw Interest Score: 1.4519,
Positive Sentiment: 0.2600, Negative Sentiment 0.2709

Modern Data Warehousing: Enterprise Must-Haves

my. Alongside new architectural approaches, a variety of technologies have emerged as key ingredients of modern data warehousing, from data virtualization and cloud services, to Hadoop and Spark, and machine learning and automation. To educate IT decision makers and data warehousing professionals about the must-have capabilities for modern data warehousing today – how they work and how best to use them – DBTA is hosting a special roundtable webinar on November 19th.

Reserve your seat today!

Register Now for this webinar titled Modern Data Warehousing: Enterprise Must-Haves.

Audio is streamed over the…
2020-11-19 00:00:00 Read the full story…
Weighted Interest Score: 2.7871, Raw Interest Score: 1.7877,
Positive Sentiment: 0.1117, Negative Sentiment 0.0000

China’s bull market has room to run

Foreign holdings of A-shares, or shares listed on mainland markets, had increased from less than 1 per cent in 2015 to 7 per cent of total free-float market capitalisation.

Ms Werkun said valuations weren’t as stretched as during the 2015 boom and margin lending was playing a smaller role in the market’s current advance.

She also sees greater retail investor participation over time.

“Financial assets including stocks account for just a very sm…
2020-11-02 00:00:00 Read the full story…
Weighted Interest Score: 2.7768, Raw Interest Score: 1.5040,
Positive Sentiment: 0.3302, Negative Sentiment 0.1101

Is analytics the missing piece in a complex settlement jigsaw?

At a time when the costs of doing business are skyrocketing, is it sustainable for banks to persevere with the current approach to trade settlement failure?While there will always be trades that fail, the tolerance levels of banking boardroom execs must be at breaking point right now if the latest Esma Trends Risks and Vulnerabilities (TVR) report is anything to go by. The study shows a dramatic surge in the level of settlement fails during the s…
2020-10-29 00:00:00 Read the full story…
Weighted Interest Score: 2.7442, Raw Interest Score: 1.4278,
Positive Sentiment: 0.0824, Negative Sentiment 0.7688

Root Out Bias at Every Stage of Your AI-Development Process

Bias mitigation is a fairly technical process, where certain techniques can be deployed depending on the stage in the machine learning pipeline: pre-processing, in-processing and post-processing. Each offers a unique opportunity to reduce underlying bias and create a technology that is honest and fair to all. Leaders must make it a priority to take a closer look at the models and techniques for addressing bias in each of these stages to identify how best to implement the models across their technology. Ultimately, there is no wa…
2020-10-30 12:25:08+00:00 Read the full story…
Weighted Interest Score: 2.7106, Raw Interest Score: 1.2609,
Positive Sentiment: 0.2546, Negative Sentiment 0.3152

Python Attracts Rookies as Well as Pros

It is no secret that the Python programming language is peaking in popularity among data scientists. Now, would-be coders are increasingly trying to “self-master” the big data framework via online tutorials, according to an analysis of Google and YouTube searches.

Indeed, a quick YouTube search turned up a lengthy list of “Python for Beginners” tutorials promising to help novice coders master the programming language in just a few hours.
2020-10-30 00:00:00 Read the full story…
Weighted Interest Score: 2.6776, Raw Interest Score: 1.8565,
Positive Sentiment: 0.1785, Negative Sentiment 0.0000

Kx Systems: A Historical Need for Speed

There are a few things that Kx Systems is not. It’s not a new company, for starters, and it’s not a big supporter of open source technology. But if there’s one thing that defines Kx Systems and its approach to helping its clients develop advanced analytics and machine learning systems to work on big data, it’s a relentless focus on speed.

Speed is the defining mantra, the raison d’etre, for Kx Systems and how it seeks to differentiate itself from other providers of advanced analytics software. Speed is why both Wall Street investment banks and Formula 1 racing teams in Europe use the company’s platform, which combines a database, a programming language, and a collection of add-ons for machine learning, real time analytics, and other interesting things that can be done with data.
2020-10-29 00:00:00 Read the full story…
Weighted Interest Score: 2.6687, Raw Interest Score: 1.4546,
Positive Sentiment: 0.1086, Negative Sentiment 0.0868

XBRL News: SEC enforcement, investment-grade sustainability data, invoicing

Here is our pick of the 3 most important XBRL (eXtensible Business Reporting Language) news stories this week.

The SEC has invested heavily in ramping up its ability to leverage “big data” in order to spot anomalies or inconsistences that are potential indicia of financial reporting violations.

With its robust stance towards enforcement not just in words, but in action and preparedness, the SEC should serve as an example for other authorities around the world.

Following the recent announcement that the Sustainability Accounting Standards Board (SASB) is working with PwC to devel…
2020-10-29 00:00:00 Read the full story…
Weighted Interest Score: 2.6504, Raw Interest Score: 1.1359,
Positive Sentiment: 0.0000, Negative Sentiment 0.1683

Privitar and StreamSets Collaborate to Streamline and Minimize the Privacy Risk in Data Pipelines

Privitar, a data privacy platform provider, and StreamSets, provider of a DataOps platform, are forming a new partnership and native product integration designed to help organizations accelerate access to data-driven insights.

Through the new native integration, users can leverage StreamSets to design and run data pipelines to their data science and data analytics applications, seamlessly applying Privitar’s data privacy policies across all of their execution environments.

“Business users are increasingly demanding continuous access to shared data as it is generated across organizations and ecosystems, enabling fast decisions on fresh data, while simultaneously complying with increasingly complex regulation,” said Jobi George, general m…
2020-10-30 00:00:00 Read the full story…
Weighted Interest Score: 2.6196, Raw Interest Score: 1.6325,
Positive Sentiment: 0.4176, Negative Sentiment 0.0000

Expanding Your Data Science and Machine Learning Capabilities

Surviving and thriving with data science and machine learning means not only having the right platforms, tools and skills, but identifying use cases and implementing processes that can deliver repeatable, scalable business value. The challenges are numerous, from selecting data sets and data platforms, to architecting and optimizing data pipelines, and model training and deployment. As a result, new solutions have emerged to deliver key…
2021-06-24 00:00:00 Read the full story…
Weighted Interest Score: 2.5974, Raw Interest Score: 1.6536,
Positive Sentiment: 0.2611, Negative Sentiment 0.1741

Buyers’ brief: how tech is helping boutique asset managers compete in a scale game

Within our venture capital and private equity business there is a large universe of potential businesses to invest in but these need to be assessed and reduced down to a smaller number that best fit our investment criteria,” according to Andrew Hampshire, chief operating officer and chief technology officer at Gresham House. “Historically, that is a process that requires a lot of manpower, with investment managers proactively reviewing a host of …
2020-11-02 00:00:00 Read the full story…
Weighted Interest Score: 2.5734, Raw Interest Score: 1.6253,
Positive Sentiment: 0.3251, Negative Sentiment 0.1170

What Does Data Archiving Bring To Healthcare Intelligence?

Healthcare organizations house enormous amounts of data – amounts that have been multiplied many times over since the widespread adoption of electronic health records (EHR) systems over the last decade. What few of these groups know how to reckon with, though, is how to best manage data that’s no longer in use – particularly data from systems the organization has since retired. What’s the best way to handle this information?

When data is no long…
2020-10-28 07:09:10+00:00 Read the full story…
Weighted Interest Score: 2.5530, Raw Interest Score: 1.5696,
Positive Sentiment: 0.1513, Negative Sentiment 0.2458

10 Tech Jobs That Could Grow in 5 Years Thanks to A.I. and Automation

Over the past few years, there’s been quite a bit of chatter over the jobs that artificial intelligence (A.I.) will destroy. However, it’s also worth examining the human jobs that A.I. will help grow—many of them in tech.

The World Economic Forum, which regularly analyzes the potential impact of A.I. on the economy and unemployment, has a new report that examines how the COVID-19 pandemic could accelerate the automation of many jobs and tasks. A…
2020-10-30 00:00:00 Read the full story…
Weighted Interest Score: 2.4873, Raw Interest Score: 1.6609,
Positive Sentiment: 0.1615, Negative Sentiment 0.0923

Unlocking the Power of DataOps

DataOps is on the rise at enterprises looking to bring improved quality and reduced cycle times to data analytics. Borrowing from Agile Development, DevOps and statistical process control, this new methodology is poised to revolutionize data analytics with its eye on the entire data lifecycle. However, improving the flow of data between managers and consumers within an organization through greater communication, integration and automation is no simple task, and it requires process changes as well as enabling…
2021-05-13 00:00:00 Read the full story…
Weighted Interest Score: 2.4819, Raw Interest Score: 1.4478,
Positive Sentiment: 0.7239, Negative Sentiment 0.1034

The Top Trends in Data Management for 2021

From the rise of hybrid and multicloud architectures, to the impact of machine learning and automation, the business of data management is constantly evolving with new technologies, strategies, challenges and opportunities. The demand for fast, wide-range access to information is growing. At the same time, the need to effectively integrate, govern, protect and analyze data is also intensifying. All the while, data environments are increasing in size and complexity — traversing relat…
2020-12-10 00:00:00 Read the full story…
Weighted Interest Score: 2.4678, Raw Interest Score: 1.6129,
Positive Sentiment: 0.1075, Negative Sentiment 0.1075

UK report spotlights the huge investment gap facing diverse founders – TechCrunch

New research looking into how UK VC has been invested over the past decade according to race, gender and educational background makes for grim reading — with all-ethnic teams and female entrepreneurs receiving just a fraction of available funding vs all-white teams and male founders.

The finding of baked in bias holds true across all funding stages, per the findings.
2020-11-02 00:00:00 Read the full story…
Weighted Interest Score: 2.4327, Raw Interest Score: 1.3784,
Positive Sentiment: 0.1775, Negative Sentiment 0.1671

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