AI & Machine Learning News. 30, September 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?


DataRobot launches AI Catalog to enable enterprise team collaboration

Robotic process automation company DataRobot today announced the latest release of the DataRobot Enterprise AI Platform, which includes the changes for automated feature engineering and the debut of AI Catalog, a service that lets enterprise teams search customer data in order to build and deploy AI models or make predictions.

AI Catalog utilizes tech from Cursor, a company acquired in February by DataRobot for an undisclosed amount. Cursor was …
2019-09-30 00:00:00 Read the full story…
Weighted Interest Score: 5.0348, Raw Interest Score: 1.8561,
Positive Sentiment: 0.2652, Negative Sentiment 0.1326

CloudQuant Thoughts: Nice to see the integration of Cursor working for DataRobot for whom we have a lot of respect for DataRobot. We feel strongly that applied business (or in our case trading/investing) knowledge plus access to tools and data is a winning combination.

What Enterprises Need to Know About Getting Started with AI/ML

Companies around the world are investing tens of billions of dollars on artificial intelligence (AI) and machine learning (ML), and for good reason. These technologies have real business-altering potential, and that’s why Gartner’s “Enter the Age of Analytics” report predicts that by 2023, AI and deep-learning techniques will be the two most common approaches for new applications of data science.

Effective use of both AI and ML in business production use cases can help enterprises that use them jump far ahead of competitors in their sectors, …

2019-09-26 00:00:00 Read the full story…
Weighted Interest Score: 4.6701, Raw Interest Score: 2.1595,
Positive Sentiment: 0.3410, Negative Sentiment 0.1326

CloudQuant Thoughts: The negative score on this article seems to be a bit low. Phrases like “The truth is that it will take years before many organizations realize the true potential of AI and ML” didn’t score as negative because they didn’t use any of the keywords that  show the NLP engine would normally rank as negative. Also, the article is a bit too salesy for our taste. Remove the sales from this article and you are left with a call to arms in you AI/ML strategy.

Our core belief is that applied business (or in our case trading/investing) knowledge plus access to tools and data is a winning combination. Oh yeah, we already said that above. 😀

Scorable applies AI engine to analyse the credit risk of bonds

Today, newly founded FinTech company Scorable is launching an innovative artificial intelligence (AI) solution to analyse the credit risk of bonds.

Scorable uses multiple data sources such as financial news, business figures, market prices and credit ratings to evaluate their influence on a company’s financial standing. With this strategy, Scorable’s technology picks up on key developments that have taken place in the financial industry since the 2008 financial crisis, such as, increased tr…
2019-09-30 10:59:00 Read the full story…
Weighted Interest Score: 4.5395, Raw Interest Score: 2.4343,
Positive Sentiment: 0.3260, Negative Sentiment 0.1304

CloudQuant Thoughts: A third post on a product launch. Starting to get boring today.

TRADING UP: Wells Fargo Grabs Murphy; BTIG Adds Cutaia

Wells Fargo Securities capitalized on the mass exodus out of Deutsche Bank’s equity trading business and snagged David Murphy, the German banks former co-head of U.S. equity sales and trading. According to his LinkedIn profile he onboarded in late summer and is in the firm’s Boston office. He spent 16 years at Deutsche Bank.

If you have a new job or promotion to report, let me know at jdantona@marketsmedia.com

BTIG landed Vince Cutaia for the f…
2019-09-23 18:13:49+00:00 Read the full story…
Weighted Interest Score: 3.8475, Raw Interest Score: 1.9177,
Positive Sentiment: 0.1743, Negative Sentiment 0.0174

CloudQuant Thoughts: Congrats to the FINTECHs that are growing as represented by the people on this list.

How to Manage Machine Learning Products

Part I: Why is managing machine learning products so hard? And why should you care?

Summary: here’s what I want you to remember about this series of articles:

Managing ML products is more challenging than managing normal software products because it involves more uncertainties and requires not only technical but also organizational changes. ML is best suited for making decisions or predictions. Clearly define the problem, scope out requirements…
2019-09-30 04:12:37.024000+00:00 Read the full story…
Weighted Interest Score: 3.6642, Raw Interest Score: 2.1891,
Positive Sentiment: 0.1799, Negative Sentiment 0.2624

CloudQuant Thoughts: A very nice introduction to Machine Learing Products. This is the best article in this weeks clipping. Worth the read and the share.

5 Game-Changing Semiconductor Chips By Chinese Tech Giants

China is pushing hard for the development in the chip-making space. The rise of security and trade has led the country to self-design intelligent and computing chips to avoid dependence on other countries. In this article, we list down five Chinese giants who are self-designing semiconductor chips for edge computing.

1| Alibaba

Alibaba, the Chinese multinational conglomerate holding company has recently self-developed an AI inference chip known…
2019-09-30 11:30:25+00:00 Read the full story…
Weighted Interest Score: 3.6316, Raw Interest Score: 1.8519,
Positive Sentiment: 0.2369, Negative Sentiment 0.0215

The Data Analysts of the Future: What Will They be Doing?

The need for citizen data scientists — people who can use real-time, data-powered insights — will be on the rise with the widespread availability of data and AI-enabled, self-service analytics platforms. So, the best job of the century may be at risk. Smart machine learning algorithms can analyze and interpret data, and even produce content for dashboards and printable reports. So, who needs a data analyst or data scientist now? Amid all speculations, you may be surprised to know that the U.S. Bureau of Labor Statistics has indicated 11.5 million Data Science job openings will be created by 2026
2019-09-24 07:35:43+00:00 Read the full story…
Weighted Interest Score: 3.6109, Raw Interest Score: 2.0692,
Positive Sentiment: 0.2587, Negative Sentiment 0.2094

CloudQuant Thoughts: Where will all those jobs be? What skills will you need?

BTW … we are hiring a C++/Python data onboarding engineer. The job posting should come out later this week, but hey, if you see this then send Tayloe your resume today and be the first to apply.

LiquidityEdge Adds Venue Analytics From Mosaic Smart Data

LiquidityEdge, the electronic US Treasuries trading venue acquired by MarketAxess, has licensed Mosaic Smart Data to provide analytics as fixed income data becomes increasingly important.

LiquidityEdge was established in 2015 to offer a bespoke electronic trading ecosystem for US treasuries and records daily volumes of more than $25bn.

Matthew Hodgson, chief executive and founder of Mosaic Smart Data told Markets Media: “LiquidityEdge grabbed m…
2019-09-27 16:16:45+00:00 Read the full story…
Weighted Interest Score: 3.5819, Raw Interest Score: 1.8003,
Positive Sentiment: 0.1884, Negative Sentiment 0.0209

6 Ways A Machine Learning Practitioner Can Counter The Deepfake

“Deepfake” techniques today are capable of producing artificial intelligence-generated videos of real people doing fictional things or fictional people doing real things. Their applications are being invented along the way ever since the success of GANs. The deep learning community is still partially clueless about the outcomes of the existing malicious content. That is why, industry experts have been collaborating to create awareness amongst the community. As a machine l…
2019-09-30 12:30:47+00:00 Read the full story…
Weighted Interest Score: 3.4052, Raw Interest Score: 1.4021,
Positive Sentiment: 0.2157, Negative Sentiment 0.3883

FinextraTV reveals 3-part Sibos 2019 Highlight Series

rconnected World’. In a 3-part series, we look at the power of AI, the value of Levering Data and the challenges and opportunities around regulation in Financial services. We set out to capture where Artificial Intelligence is impacting most, the concerns it raises and how the industry can use AI to maximum effect in the future. We ask participants about the importance of developing a data strategy, the problems leveraging data overcomes and the new & improved services it leads to. The final part to our series will look at Regulation and how the banks are adapting to today’s regulatory demands, we question who will …
2019-09-22 22:28:00 Read the full story…
Weighted Interest Score: 3.3372, Raw Interest Score: 1.7281,
Positive Sentiment: 0.5760, Negative Sentiment 0.6912

The New Emerging Modern Data Infrastructure for Artificial Intelligence and Machine Learning

Click to learn more about author Sean Martin.

Machine learning and artificial intelligence’s preeminence is the natural outcome of the post Big Data landscape. Characteristics of this new reality have far surpassed the traditional “three v’s” of Big Data. Higher volumes of data now include greater distributions of data. Increased velocities are now real-time. Data’s variation is reflected in the varying tools, techniques, and technologies supporting them.

These demands have made the data fabric architecture a de facto requirement for deployi…
2019-09-30 07:30:02+00:00 Read the full story…
Weighted Interest Score: 3.3197, Raw Interest Score: 1.9644,
Positive Sentiment: 0.2969, Negative Sentiment 0.1599

Watch This Webinar On IBM Cognos Analytics & Why Businesses Should Use It

Artificial Intelligence (AI) is a central theme in the future of business intelligence. While organisations are exploring how AI can enhance productivity, augmenting business intelligence using AI becomes key. In this context, IBM’s latest release of Cognos Analytics empowers business users with deeper insights driven by AI along with automated reporting and dashboards. A recently concluded webinar session with IBM expe…
2019-09-27 07:27:29+00:00 Read the full story…
Weighted Interest Score: 3.2853, Raw Interest Score: 1.6318,
Positive Sentiment: 0.1674, Negative Sentiment 0.1883

Prophix Launches AI-Powered Virtual Financial Analyst

We’ve got virtual assistants beginning to populate e-commerce, retail, health care and a dozen other areas of IT. Why not financial services? Can a bot offer legitimate suggestions in making financial decisions?

Prophix is one company that is banking on that happening. The Mississauga, Ontario-based CPM (corporate performance management) software maker on Sept. 24 released a new version of its platform that it calls the industry’s first virtual …
2019-09-25 00:00:00 Read the full story…
Weighted Interest Score: 3.2618, Raw Interest Score: 1.8900,
Positive Sentiment: 0.3436, Negative Sentiment 0.3436

What to Expect at Strata This Week

We knew that big data was also fast. But what we didn’t fully grasp perhaps was just how fast the technology changes. This week’s Strata Data Conference is setting up to be a prime example of the punctuated equilibrium we’re currently experiencing.

Just a few years ago, this bi-annual event was called Strata + Hadoop World. But when Hadoop’s influence waned, O’Reilly Media and Cloudera changed the name. And while Clo…
2019-09-23 00:00:00 Read the full story…
Weighted Interest Score: 3.2531, Raw Interest Score: 1.6658,
Positive Sentiment: 0.0769, Negative Sentiment 0.1281

Implementing cost optimisation and digital transformation in the FSI

rconnected World’. In a 3-part series, we look at the power of AI, the value of Levering Data and the challenges and opportunities around regulation in Financial services. We set out to capture where Artificial Intelligence is impacting most, the concerns it raises and how the industry can use AI to maximum effect in the future. We ask participants about the importance of developing a data strategy, the problems leveraging data overcomes and the new & improved services it leads to. The final part to our series will look at Regulation and how the banks are adapting to today’s regulatory demands, we question who will …
2019-09-24 15:17:00 Read the full story…
Weighted Interest Score: 3.2028, Raw Interest Score: 1.6627,
Positive Sentiment: 0.5938, Negative Sentiment 0.7126

New venture for Nick Ogden: RTGS.global to fix real-time cross-border payments

rconnected World’. In a 3-part series, we look at the power of AI, the value of Levering Data and the challenges and opportunities around regulation in Financial services. We set out to capture where Artificial Intelligence is impacting most, the concerns it raises and how the industry can use AI to maximum effect in the future. We ask participants about the importance of developing a data strategy, the problems leveraging data overcomes and the new & improved services it leads to. The final part to our series will look at Regulation and how the banks are adapting to today’s regulatory demands, we question who will …
2019-09-25 11:51:00 Read the full story…
Weighted Interest Score: 3.2028, Raw Interest Score: 1.6627,
Positive Sentiment: 0.5938, Negative Sentiment 0.7126

Accelerating AI: Enterprise-Wide Simplification and Deployment on the Horizon

Business use of AI grew 270% over the past four years, according to Gartner , while Deloitte says 62% of respondents to its corporate October 2018 report deployed some form of AI. That’s up 53% from a year ago, but what we’ve learned is that adoption doesn’t equal success, and success is an evolving model in this phase of our digital revolution.

Unfortunately, roughly 25% of companies have seen half of their AI projects fail. Failure, in heavily…
2019-09-30 00:00:00 Read the full story…
Weighted Interest Score: 3.1492, Raw Interest Score: 1.3320,
Positive Sentiment: 0.1748, Negative Sentiment 0.2165

What’s Ahead in Big Data and Analytics

SPECIAL DBTA ROUNDTABLE WEBINAR THURSDAY, DECEMBER 12 – 11:00 am PT / 2:00 pm ET

From data lakes and the cloud, to machine learning and artificial intelligence, the world of big data and analytics continues to evolve rapidly. The demand for fast access to information through better self-service capabilities is growing. At the same time, the need for improved governance and security practices is also intensifying. In response, leading organizations are turning to innovative new technologies and strategies to reinforce their an…
2019-12-12 00:00:00 Read the full story…
Weighted Interest Score: 3.0952, Raw Interest Score: 1.8283,
Positive Sentiment: 0.7154, Negative Sentiment 0.1590

Fenergo wins Deloitte Financial Services Innovation Award

Recognised as the leader in RegTech

26 September 2019, Dublin – Fenergo, a leading provider of digital Client Lifecycle Management (CLM) solutions for financial institutions, has jointly won the RegTech category at the Deloitte Financial Services Innovation Awards. The award is in recognition of Fenergo’s track record in enabling financial institutions to transform client experiences while ensuring regulatory certainty.

Conor Coughlan, Chie…
2019-09-26 00:00:00 Read the full story…
Weighted Interest Score: 3.0769, Raw Interest Score: 1.8868,
Positive Sentiment: 0.5710, Negative Sentiment 0.0745

Objects Counting by Estimating a Density Map With Convolutional Neural Networks

Objects Counting by Estimating a Density Map With Convolutional Neural Networks Tomasz Bonus Follow Sep 27 · 9 min read

Written by Tomasz Bonus and Tomasz Golan.

Introduction

Counting objects in images is one of the fundamental tasks in computer vision. It has a lot of applications, in particular in:

microbiology (e.g. counting bacterial colonies in a Petri dish);

surveillance (e.g. counting people);

agriculture (e.g. counting fruits or veg…
2019-09-27 12:15:45.019000+00:00 Read the full story…
Weighted Interest Score: 3.0078, Raw Interest Score: 1.2299,
Positive Sentiment: 0.0505, Negative Sentiment 0.1095

Investor Forecast: 5 Key Trends Shaping Your Financial Future

Given the current fluctuations in the markets, often amplified by the media, some investors are approaching their financial goals with uncertainty. Boomers and Gen-Xers are still bouncing back from a recession and may not be as likely as Millennials and Gen-Zers to put financial technology to the test, while younger generations may be too willing to bet it all on innovation.

To make smart financial decisions with confidence, investors need to be…
2019-09-25 00:00:00 Read the full story…
Weighted Interest Score: 2.9703, Raw Interest Score: 1.2787,
Positive Sentiment: 0.2475, Negative Sentiment 0.2475

At Tech’s Leading Edge, Worry About a Concentration of Power

computer to internet to smartphone — has opened opportunities for more people to invent on the digital frontier.

But there is growing concern that trend is being reversed at tech’s new leading edge, artificial intelligence.

Computer scientists say A.I. research is becoming increasingly expensive, requiring complex calculations done by giant data centers, leaving fewer people with easy access to the computing firepower necessary to develop the technology behind futuristic products like self-driving cars or digital assistants that can see, talk and reason.

The danger, they say, is that pioneering artificial intelli…
2019-09-26 00:00:00 Read the full story…
Weighted Interest Score: 2.9638, Raw Interest Score: 2.1978,
Positive Sentiment: 0.5495, Negative Sentiment 0.2198

Presto Moves Under Linux Umbrella

An SQL query engine developed by Facebook and moved earlier this year to a non-profit development group is now being hosted by the Linux Foundation.

The new Presto Foundation is seen as a way to scale the popular distributed SQL query engine launched by Facebook engineers in 2012 as a follow-on to Apache Hive. Along with Facebook (NASDAQ: FB), founding members of the Presto Foundation are Alibaba (NYSE: BABA), Twitter (NYSE: TWTR) and Uber (NYSE…
2019-09-23 00:00:00 Read the full story…
Weighted Interest Score: 2.9057, Raw Interest Score: 1.6300,
Positive Sentiment: 0.1417, Negative Sentiment 0.1063

IBM and The Open Group’s Data Scientist Certification Has Its First Recipients

Earlier this year, IBM announced plans for a collaboration with The Open Group to develop a “first-of-a-kind” internal program for accrediting data scientists. The program was presented as IBM’s response to a troubling dearth of data scientists (151,000 unfilled data scientist jobs, as reported by LinkedIn). Today, IBM announced that the program has certified more than 140 employees with the position of Data Scientist.

IBM emphasizes that the pr…
2019-09-26 00:00:00 Read the full story…
Weighted Interest Score: 2.9047, Raw Interest Score: 1.4097,
Positive Sentiment: 0.2563, Negative Sentiment 0.0427

New Software Development Initiatives Lead To Second Stage Of Big Data

The big data market is expected to be worth $189 billion by the end of this year. This is over a 50% increase in just four years. A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another.

New software is making big data more viable than ever. As new software development initiatives become more mainstream, big data will become more vi…
2019-09-26 23:19:18+00:00 Read the full story…
Weighted Interest Score: 2.8704, Raw Interest Score: 1.8339,
Positive Sentiment: 0.2620, Negative Sentiment 0.1915

Paving the Way for DataOps

How is your DataOps going? Have you become a bona fide “insights-driven” business yet? Or are you still struggling to implement DataOps effectively across your organization? If you’re like most, it’s probably the latter.

DataOps—an automated, process-oriented methodology for optimizing the rapid collection, integration, analysis, security, and integrity of data—needs to be standard practice at any insights-driven business. However, there are a n…
2019-09-25 00:00:00 Read the full story…
Weighted Interest Score: 2.8619, Raw Interest Score: 1.5603,
Positive Sentiment: 0.2579, Negative Sentiment 0.2708

Cloudera Unveils the Cloudera Data Platform

Cloudera, the enterprise data cloud company, is releasing the Cloudera Data Platform (CDP), delivering self-service analytics across hybrid and multi-cloud environments.

CDP is an integrated data platform that is easy to deploy, manage, and use, according to the vendor. CDP is a new approach to enterprise data that delivers a full range of analytic capabilities from the Edge to AI.

The Cloudera Data Platform provides enterprise IT with the abil…
2019-09-25 00:00:00 Read the full story…
Weighted Interest Score: 2.8497, Raw Interest Score: 1.7066,
Positive Sentiment: 0.3610, Negative Sentiment 0.0000

Trading Technology Q&A: Nikolai Larbalestier, Nasdaq

Markets Media recently caught up with Nikolai Larbalestier, SVP, Enterprise Architecture and Performance Engineering at Nasdaq, to discuss the architecture of markets and how it is evolving.

Talk a little about your recent career history, i.e. your work and accomplishments over the past six+ years with Nasdaq?

Since joining Nasdaq in 2013, I’ve worked on a range of strategic projects aimed at advancing our technology and solutions, working with…
2019-09-27 17:35:43+00:00 Read the full story…
Weighted Interest Score: 2.8468, Raw Interest Score: 1.2419,
Positive Sentiment: 0.2700, Negative Sentiment 0.0180

Tech Jobs Aren’t the Highest-Paying Jobs in America

Every week, it seems we’re inundated with new stories about tech startup employees making it absurdly rich in the wake of another skyrocketing IPO (although to be fair, those days of ultra-rich “unicorns” might be coming to an end). We also know that software engineers at some of tech’s biggest companies can pull down enormous salaries. But are technologists the highest-paid people in the country?

According to new, crowdsourced data from Glassdo…
2019-09-25 00:00:00 Read the full story…
Weighted Interest Score: 2.8084, Raw Interest Score: 1.8579,
Positive Sentiment: 0.1757, Negative Sentiment 0.0502

Rockset Connects Kafka with SQL

Rockset, the serverless search and analytics startup, is extending the ability to run SQL on NoSQL data with real-time event analysis on Apache Kafka.

The company, based in San Mateo, Calif., said it is coming at the ingestion, analysis and serving of data from a different angle to allow users of the Kafka to run SQL analytics on raw data from the distributed streaming platform. Rockset also this week announced a partnership Kafka distributor Co…
2019-09-27 00:00:00 Read the full story…
Weighted Interest Score: 2.7622, Raw Interest Score: 2.1148,
Positive Sentiment: 0.0000, Negative Sentiment 0.1726

AI and Machine Learning: Run Your Business At the Speed of Thought

echnology heritage has prepared us for. The factory model for assembly-line delivery assumed that machines don’t think. And process optimization had the effect of turning humans into machines. Today, machine learning solutions and, more specifically, artificial intelligence breaks these paradigms. Machines are more human and empathetic, while intelligent bots allow employees to step out of the mechanical skin.

Sounds like science fiction. Can you believe the hype?

In reality, the future is closer than you think. Technology giants and forward-leaning enterprises are challenging the way digital, data, and ana…
2019-09-26 13:12:14-04:00 Read the full story…
Weighted Interest Score: 2.6738, Raw Interest Score: 1.7506,
Positive Sentiment: 0.1072, Negative Sentiment 0.1072

Create An API To Deploy Machine Learning Models Using Flask and Heroku

Create Github Repository (optional)

For easier deploying on Heroku later, you’ll want to create a github repository for this project and clone it for local use. To create a new repository, click on your profile icon in the top right corner, click repositories, and then click new. Give your repository a name, initialize the repository with a README and add a license like my example below:

To clone the repository, go to the repository page, click…
2019-09-30 04:15:39.250000+00:00 Read the full story…
Weighted Interest Score: 2.6198, Raw Interest Score: 1.5093,
Positive Sentiment: 0.0408, Negative Sentiment 0.0816

H-1B Salaries at JPMorgan Show What Banking Tech Pays for Visa Hires

For years, companies attempted to obfuscate how many H-1B visa workers joined their ranks—and how much those workers earned. After all, H-1B is a politically and morally fraught issue, as companies from Disney to IBM can attest.

However, there’s more transparency into H-1B salaries these days, thanks in large part to the Trump administration’s stricter reporting policies. Recently, the U.S. Department of Labor issued a dataset of H-1B visa appli…
2019-09-25 00:00:00 Read the full story…
Weighted Interest Score: 2.5421, Raw Interest Score: 1.6198,
Positive Sentiment: 0.0992, Negative Sentiment 0.1322

Python Beginner? Check Out These Programming Videos.

Interested in learning Python? Microsoft’s new video series adds to an already-massive amount of online tutorials and documentation about the programming language.

‘Python for Beginners” features 44 videos, most of them under five minutes in length, and none longer than 13 minutes. “Even though we won’t cover everything there is to know about Python in the course, we want to make sure we give you the foundation on programming in Python, starting…
2019-09-27 00:00:00 Read the full story…
Weighted Interest Score: 2.4927, Raw Interest Score: 1.8711,
Positive Sentiment: 0.0832, Negative Sentiment 0.0000

Deloitte acquires RPA specialists The Eclair Group

Collectively known as Robotics and Cognitive Automation (RCA), The Eclair Group delivers of process automation services including RPA, machine learning (ML) and intelligent automation — a branch of artificial intelligence (AI).

Eclair’s founder and CEO Alex Moynihan, will join Deloitte Consulting’s Robotic & Cognitive Automation practice as a partner, and Eclair’s 22 staff will join Deloitte’s Sydney office on October 1.

As part of the deal, Deloitte has also acquired Eve, a ML platform developed by The Eclair Group (pictured above) which provides insights on the real-time performance of automation initiatives w…
2019-09-30 14:05:48+10:00 Read the full story…
Weighted Interest Score: 2.4506, Raw Interest Score: 1.6477,
Positive Sentiment: 0.3662, Negative Sentiment 0.1098

Explainable AI is the Mission of Mark Stefik of PARC

As artificial intelligence (AI) systems play bigger parts in our lives, people are asking whether they can be trusted. According to Mark Stefik, this concern stems from the fact that most AI systems are not designed to explain themselves.

“The basic problem is that AIs learn on their own and cannot explain what they do. When bad things happen and people ask about an AI’s decisions, they are not comfortable with this lack …
2019-09-26 21:30:01+00:00 Read the full story…
Weighted Interest Score: 2.4502, Raw Interest Score: 0.9866,
Positive Sentiment: 0.2913, Negative Sentiment 0.3476

Back to Basics: Governance, Quality, Security Grab the Spotlight at Strata Data Conference

The Wild West days of big data may not be totally gone, but it sort of felt that way this week on the Strata Data Conference’s Expo floor. Yes, there were vendors hawking the latest machine learning technology, but there were an equal number of vendors targeting basic tasks around data management, such as finding it, cleaning it, governing it, and making sure it’s not going to get your company fined $1 billion or get your CIO fired.

The lure of AI is strong, and many companies want to utilize machine learning to automate decision-making on data. And they should seek that goal, because techn…
2019-09-27 00:00:00 Read the full story…
Weighted Interest Score: 2.4358, Raw Interest Score: 1.4567,
Positive Sentiment: 0.1961, Negative Sentiment 0.1961

China’s tech ambition is ‘unstoppable’ — with or without the trade war, analyst says

ology and could soon even overtake America in certain respects, experts told CNBC. The world’s second-largest economy is already showing some good progress in its push on homegrown industries such as artificial intelligence and chips. “China is closing the technological gap with the United States, and though it may not match U.S. capabilities across the board, it will soon be one of the leading powers in technologies such as artificial intelligence (AI), robotics, energy storage, fifth-generation cellular networks (5G), quantum information systems, and possibly biotechnology,” U.S.-based think tank the Council on Fo…
2019-09-30 00:00:00 Read the full story…
Weighted Interest Score: 2.4096, Raw Interest Score: 1.4800,
Positive Sentiment: 0.1373, Negative Sentiment 0.1831

SpaceNet, Topcoder Partnership Delivers Advanced Geospatial Data Science

ts, “Topcoder, the world’s largest technology talent network and digital crowdsourcing platform, will join as a 2019 – 2020 partner with SpaceNet® , a nonprofit dedicated to accelerating open source, artificial intelligence (AI) applied research for geospatial applications. This partnership will accelerate SpaceNet’s ability to leverage the global 1.5M member Topcoder Community for increased accuracy and speed in advanced data science and machine learning application development. Topcoder has hosted data science and AI development challenges for SpaceNet since 2016 that have produced highly sophisticated algorithmic…
2019-09-30 07:10:54+00:00 Read the full story…
Weighted Interest Score: 2.3846, Raw Interest Score: 1.1179,
Positive Sentiment: 0.1016, Negative Sentiment 0.2033

Hazelcast and Intel Collaborate on AI and IoT Solutions

Hazelcast, provider of an in-memory computing platform, is entering a strategic co-engineering and co-innovation partnership with Intel to accelerate the performance of real-time applications, artificial intelligence, (AI) and internet of things (IoT) solutions for enterprises.

At the center of this initiative is Project Veyron, which is focused on accelerating Hazelcast technologies on Intel platforms, including the 2nd Gen Intel Xeon Scalable processor and Intel Optane DC Persistent Memory.

Project Veyron centers on cooperative engineering work to enhance the compatibility of Hazelcast and Intel offerings…
2019-09-25 00:00:00 Read the full story…
Weighted Interest Score: 2.3622, Raw Interest Score: 1.5748,
Positive Sentiment: 0.5451, Negative Sentiment 0.1211

Tweaking your business model with big data: 7 essential steps

Big data has become an essential tool for businesses and organizations over the last few years. Offering virtually endless possibilities, big data has been used to drive better sales, improve products, track business growth and make more informed business decisions.

More and more businesses are joining the big data bandwagon to improve their business model. Companies that are investing in big data analyt…
2019-09-28 14:00:45+00:00 Read the full story…
Weighted Interest Score: 2.3237, Raw Interest Score: 1.3000,
Positive Sentiment: 0.5200, Negative Sentiment 0.0487

Kitces: Why AI Is Overrated, Insurance And Subscription Pricing

Earlier this month, XYPN co-founder Michael Kitces sat down with WealthManagement.com to discuss the future of financial planning, how Charles Schwab’s subscription-based fees helped out Kitces’ and Alan Moore’s AdvicePay endeavour and where to find the advice industry’s biggest blind spot.

WealthManagement.com: You have a background in insurance. I wanted to start there. What’s going on with insurance making inroads into the advisor’s desktop?


2019-09-23 17:47:42+00:00 Read the full story…
Weighted Interest Score: 2.3035, Raw Interest Score: 1.2012,
Positive Sentiment: 0.0771, Negative Sentiment 0.0771

AI Health Outcomes Challenge To Build on CMS Value-based Programs

By Deborah Borfitz

Giving Medicare beneficiaries control of their healthcare data and otherwise accelerating the adoption of value-based care are among the priorities of the Centers for Medicare & Medicaid Services (CMS), according to two CMS representatives speaking from the stage at the 2019 AI World Government conference in June. The agency believes patient data belongs to the patient and needs to be available at the point-of-care as individu…
2019-09-26 21:30:39+00:00 Read the full story…
Weighted Interest Score: 2.2713, Raw Interest Score: 1.2335,
Positive Sentiment: 0.3462, Negative Sentiment 0.2597

Survival of the Fittest: How the Financial Services Sector is Leading the Pack With Cloud Analytics

“Survival of the fittest” is one of the most basic principles of evolution. However, the concept also applies to the world of business. As companies march forward on their digital transformation journey— leveraging emerging technologies and digitizing standard processes for maximum advantage—market competition has become fiercer than ever before, and within crowded industries, players vie for consumer attention.

One such industry leading the pac…
2019-09-26 00:00:00 Read the full story…
Weighted Interest Score: 2.2399, Raw Interest Score: 1.2681,
Positive Sentiment: 0.3539, Negative Sentiment 0.0885

Why Data Science Companies Need Chief Ethics Officers Now More Than Ever

Despite all the advancements and benefits that emerging technologies have brought recently, there are significant challenges that companies across the world are trying to cope — ethical challenges.

When Machines Become Biased

No matter how much we emphasise the advancement of machines, at the end of the day, we cannot deny the fact that machines learn with the help of data that is being fed. And the actions it would take will be also be based o…
2019-09-30 09:52:20+00:00 Read the full story…
Weighted Interest Score: 2.2054, Raw Interest Score: 1.2408,
Positive Sentiment: 0.1838, Negative Sentiment 0.2528

Data Gone Wild: Rampant Growth and Clouds Heighten Risk

Data may be the new oil, serving as the digital feedstock for innumerable downstream products. But like oil, data also carries risks for those attempting to harness it. Could a Deepwater Horizon-style event be lurking in your digital future?

According to a new survey of midsize businesses by from StorageCraft, nearly nine out of 10 IT professionals think that data volumes will grow by 10x over the next five years. That’s a tremendous rate of gro…
2019-09-26 00:00:00 Read the full story…
Weighted Interest Score: 2.1542, Raw Interest Score: 1.2885,
Positive Sentiment: 0.1812, Negative Sentiment 0.3825

AI Takes Over Bengaluru Traffic, Helps In Cutting Down On-Road Time

If the reports are to be believed, all the traffic signals in Bengaluru are going to get a face shift with the help of AI.

This new system is capable of calculating the vehicle density and share those details to a central processing unit which in turn will decide the time required at each junction.

The traffic density is monitored by cameras to decide on how much time to allow vehicles to clear a signal. These signals will be adaptive, while th…
2019-09-25 12:59:13+00:00 Read the full story…
Weighted Interest Score: 2.1292, Raw Interest Score: 1.3504,
Positive Sentiment: 0.1421, Negative Sentiment 0.0711

Allied Payment Network and Monotto launch first apps built with financial institutions on Finastra’s FusionFabric.cloud

Allied Payment Network and Certified Federal Credit Union create real-time bill pay app

Monotto and another US financial institution use AI to automate savings

Lake Mary, FL, September 30, 2019 – Ahead of its Finastra Universe Community Markets event in Chicago, US, this week, Finastra has announced the launch of two new applications built on its FusionFabric.cloud open development platform. These are the first applications built in collabo…
2019-09-30 00:00:00 Read the full story…
Weighted Interest Score: 2.1114, Raw Interest Score: 1.2598,
Positive Sentiment: 0.3016, Negative Sentiment 0.0532

Big Data’s Impact On Investing And The Finance World

Traditionally, the world of investing was bland and exclusive. Investment vehicles were not very different from one another and minimum capital requirements meant that even this was reserved for the few who had the means. Most ordinary people had to settle for a savings account at their local bank while some even opted to simply put their savings under their mattress.

But as with many other industries, the digital age has really thrown a wrench …
2019-09-26 23:30:36+00:00 Read the full story…
Weighted Interest Score: 2.1114, Raw Interest Score: 1.1238,
Positive Sentiment: 0.4257, Negative Sentiment 0.2214

IT Science Case Study: Creating a Data-Driven Enterprise

Here is the latest article in an eWEEK feature series called IT Science, in which we look at what actually happens at the intersection of new-gen IT and legacy systems.

Unless it’s brand new and right off various assembly lines, servers, storage and networking inside every IT system can be considered “legacy.” This is because the iteration of both hardware and software products is speeding up all the time. It’s not unusual for an app-maker, for …
2019-09-23 00:00:00 Read the full story…
Weighted Interest Score: 2.0223, Raw Interest Score: 1.2640,
Positive Sentiment: 0.4213, Negative Sentiment 0.1264


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