AI & Machine Learning News. 07, October 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?


TensorFlow 2.0 is out…

TensorFlow 2.0 focuses on simplicity and ease of use, featuring updates like:

  • Easy model building with Keras and eager execution.
  • Robust model deployment in production on any platform.
  • Powerful experimentation for research.
  • API simplification by reducing duplication and removing deprecated endpoints.

2019-10-01 00:00:00 Read the full story…

CloudQuant Thoughts… TensorFlow 2.0.0. Github. Or maybe you should switch to PyTorch.

Webinar event: Using AI to supercharge equity research for alpha generation

More and more hedge fund equity analysts are turning towards new technology in order to find the data points that can generate alpha most efficiently. Over the decades, data analysis has continued to evolve. It is no secret that, as we approach 2020, hedge fund equity analysts have quicker access to more data than ever has ever previously been available to them.

The question then becomes: how can analysts best search through the multitude of data available to them in order to find that one data point that can generate alpha? The speed and ease of access to data points has impacted the way that analysts work and the flow of information between analysts, managers and investors as everyone fights to find that one data point that could generate alpha.
2019-10-03 00:00:00 Read the full story…
Weighted Interest Score: 8.1016, Raw Interest Score: 2.7479,
Positive Sentiment: 0.1792, Negative Sentiment 0.0597

CloudQuant Thoughts… Same question, different week. With the amount of data now available, how do you identify which will work for you with the least impact on your precious time and sanity. We are working hard on a solution and already have data with quantified Alpha from G&S Quotient. They presented us with their White Paper, we took that information, backtested the data on our publicly available backtester at app.CloudQuant.com and present our own White Paper analysis. For more information see our Data Set Library.

7 Algorithms That Can Help In Your Data Science Interview

Algorithms, the step-by-step process to solving problems, is the root if one wants to pursue a career in software developing. It is one of the crucial aspects of Computer Science which helps a student or software developer to find the solution of problems in an intuitive way. In this article, we list down seven important algorithms that one must one while appearing for a technical interview:

  1.  Sorting Algorithm
  2.  Dynamic Programming Algorithm
  3.  Recursive Algorithm
  4.  Backtracking Algorithm
  5.  Searching Algorithm
  6.  Greedy Algorithm
  7.  Brute Force Algorithm

2019-10-07 06:35:57+00:00 Read the full story…
Weighted Interest Score: 7.1824, Raw Interest Score: 1.4706,
Positive Sentiment: 0.1705, Negative Sentiment 0.5115

CloudQuant Thoughts… I would like to think that Dev Interviews were a little more sophisticated than this these days. I would like to think that, but I can’t!

Facebook open-sources data set for code search AI benchmark

Facebook AI researchers created code search data sets that utilize information from GitHub and Stack Overflow. The release contains an evaluation data set of 287 Stack Overflow question-and-answer pairs including code snippets, as well as a search corpus of code snippets from nearly 25,000 Android repositories on GitHub.

The Neural Code Search Evaluation Data Set was published on arXiv in August and revised Wednesday. The Stack Overflow data com…
2019-10-03 00:00:00 Read the full story…
Weighted Interest Score: 6.4205, Raw Interest Score: 3.2958,
Positive Sentiment: 0.0000, Negative Sentiment 0.0804

CloudQuant Thoughts… Code Prediction anyone? Autocomplete is about to take on a whole new meaning! Forget Pre-Crime.. how about Pre-Bug… “I predict that you were about to write some buggy code developer…”

Air Force AI Plan Treats Data as ‘Strategic’

The U.S. military’s approach to AI is equal parts offense and defense, acknowledging that primary adversary China could also weaponize the technology as a form of asymmetrical warfare in which U.S. military superiority is blunted by dual-used AI technologies.

Hence, the service said it would seek to organize and leverage its vast trove of operational data to develop new algorithms for future sensor as well as command and control systems.

“Depending on the strategic choices we make now, our ability to operate around the globe may be blunted or bolstered by the adoption of—or hardening against—artificial intelligence,” notes the U.S. Air Force’s AI strategy released in September.

The Air Force plan is part of a broader Defense Department effort to ramp up military AI capabilities under a Joint Artificial Intelligence Center created last year to coordinate AI R&D. The DoD strategy relies heavily on partnering with  technology companies, a stance that has generated push-back at leading AI developers like Google (NASDAQ: GOOGL).

2019-10-03 00:00:00 Read the full story…
Weighted Interest Score: 6.2747, Raw Interest Score: 1.9236,
Positive Sentiment: 0.1132, Negative Sentiment 0.2263

CloudQuant Thoughts… The push-back by software developers not to have their ideas used in war machines is understandable. At the same time, China is clearly better organized in its planning than the five year plans of early Communist Russia. Military superiority in the time of AI is like the anticipated dawn of AGI, one second you have superiority, the next second you are overwhelmed.

Data Science vs. Machine Learning vs. Artificial Intelligence

In the data economy, data is king. Today, any business — small, medium, or large — thrives on its data assets. The recent trend of offering data-driven insights as a service to the outside world has opened up a profitable revenue channel for businesses. Cloud computing and hosted analytics have brought data-as-a-service to the desktops of ordinary business users, which was unheard of even a few years ago.

As the global business environment is fa…
2019-10-01 07:35:54+00:00 Read the full story…
Weighted Interest Score: 5.5651, Raw Interest Score: 2.6835,
Positive Sentiment: 0.1940, Negative Sentiment 0.1401

CloudQuant Thoughts… Not the intro to DS/ML/AI that the title would make you expect, rather a text document container for a number of links/articles/podcasts etc that the author finds interesting.

Chooch AI Launches Solution For Embedded Computer Vision AI Applications

According to a recent press release, “Chooch AI (http://Chooch.ai), the leader in visual training of artificial intelligence, today, in conjunction with TechCrunch Disrupt, officially announced the launch of Chooch Edge AI, a hardware-agnostic edge computer vision service that features the ability for AI to detect and classify events in local video streams from any type of camera. Chooch Edge AI is an executable package with trained neural networks that is easily installed on devices. The Chooch AI Dashboard is used to…
2019-10-04 07:10:12+00:00 Read the full story…
Weighted Interest Score: 5.1061, Raw Interest Score: 1.8933,
Positive Sentiment: 0.1721, Negative Sentiment 0.1147

BMLL Technologies appoints Chairman of the Board

BMLL Technologies, a Data-Engineering-as-a-Service company, has appointed Lee Hodgkinson, CEO of golbal derivatives trading and education firm OSTC, as Chairman of tsh Board, having been appointed a non-executive Director.

Hodgkinson’s practical industry and exchange experience complements the firm’s existing data engineering and analytics capabilities and supports BMLL’s growth ambitions to provide more capital markets participants with data ac…
2019-10-04 00:00:00 Read the full story…
Weighted Interest Score: 5.0833, Raw Interest Score: 2.2398,
Positive Sentiment: 0.3074, Negative Sentiment 0.0000

“Human Compatible” is a provocative prescription to re-think AI before it’s too late – TechCrunch

ly civilization-ending shortcoming in the “standard model” of AI, which is taught (and Dr. Russell wrote the main textbook) and applied virtually everywhere. Dr. Russell’s new book, Human Compatible: Artificial Intelligence and the Problem of Control, argues that unless we re-think the building blocks of AI, the arrival of superhuman AI may become the “last event in human history.”

That may sound a bit wild-eyed, but Human Compatible is a carefully written explanation of the concepts underlying AI as well as the history of their development. If you want to understand how fast AI is developing and why the technology…
2019-10-06 00:00:00 Read the full story…
Weighted Interest Score: 5.0440, Raw Interest Score: 2.0032,
Positive Sentiment: 0.0000, Negative Sentiment 0.4006

Novartis and Microsoft Announce Collaboration to Transform Medicine with AI

A recent press release reports, “Novartis today announced an important step in reimagining medicine by founding the Novartis AI innovation lab and by selecting Microsoft as its strategic AI and data-science partner for this effort. The new lab aims to bolster Novartis AI capabilities from research through commercialization and help accelerate the discovery and development of transformative medicines for patients worldwide. As part of the strategi…
2019-10-04 07:05:38+00:00 Read the full story…
Weighted Interest Score: 4.6689, Raw Interest Score: 1.4293,
Positive Sentiment: 0.3335, Negative Sentiment 0.0953

AI and Data Science in Trading Conference London – Cuemacro

Manoj Saxena

AIDST has quickly established itself as one of the most important finance based data science conferences in the calendar. I recently attended and presented at the recent AIDST London event in September. The conference featured a mixture of both high-level talks and also more technical sessions.

The conference began with a presentation from Manoj Saxena, currently at AI Global and formerly the head of IBM Watson. He noted that AI was like another revolution for automation, in the sam…
2019-10-05 00:00:00 Read the full story…
Weighted Interest Score: 4.5946, Raw Interest Score: 1.6407,
Positive Sentiment: 0.0941, Negative Sentiment 0.2824

Logo Recognition Using Machine Learning and Flask API

PyQuant News algorithmically curates the best resources from around the web for developers using Python for scientific computing and quantitative analysis.
2019-10-05 00:00:00 Read the full story…
Weighted Interest Score: 4.5161, Raw Interest Score: 1.9355,
Positive Sentiment: 0.6452, Negative Sentiment 0.0000

Alteryx Acquires Feature Labs to Advance Machine Learning for the Enterprise

ce and analytics, today announced that it has acquired Feature Labs, a data science software company launched out of Massachusetts Institute of Technology (MIT) that automates feature engineering for machine learning and artificial intelligence (AI) applications. The acquisition of Feature Labs will further enable Alteryx to help organizations empower every data worker to fill the data science and machine learning talent gap. Alteryx puts insights from advanced analytics and machine learning—once only available to statisticians and quants—into the hands of more data workers across the enterprise. ‘Gartner pre…
2019-10-07 07:10:15+00:00 Read the full story…
Weighted Interest Score: 4.3253, Raw Interest Score: 2.6087,
Positive Sentiment: 0.2899, Negative Sentiment 0.1159

Natixis And EDHEC To Create ESG Infrastructure Indices

Infrastructure benchmark pioneers to create measures and indices of the increasingly significant impact of ESG (Environmental, Social, Governance) factors on infrastructure investments

Natixis and EDHECinfra launch today a new three-year research chair, directed by the same team that created an unlisted infrastructure indexing platform. The chair’s aim is to create useable, comparable documented measures of the impact and risk profile of social …
2019-10-07 08:46:27+00:00 Read the full story…
Weighted Interest Score: 4.2341, Raw Interest Score: 2.2019,
Positive Sentiment: 0.0831, Negative Sentiment 0.0415

Measuring the industry’s tech- intelligence around data analytics

Martijn De Jong, Global Co-Head of Digital Channels and Data Analytics, Standard Chartered, speaks at Sibos 2019 about whether the financial services industry is technologically intelligent enough for the application of data analytics, how organisations are adapting to how data needs to be managed and what the opportunities are of harnessing information sources on a scalable and secure basis.

Sponsored | what does this mean?
2019-10-07 12:23:00 Read the full story…
Weighted Interest Score: 4.1958, Raw Interest Score: 2.5641,
Positive Sentiment: 0.2331, Negative Sentiment 0.0000

Powerful New Tools Meeting Challenge of AI Software Development, Requiring Smooth Linking of Multiple AI Methods

tools to help.

Google Cloud, for example has recently added to its AI Hub launched in April in response to concerns about reducing redundant AI development efforts, and managing a growing number of machine learning tools. The added collaboration tools are aimed at promoting greater collaboration of data science and machine learning developers, as they manage their pipelines and trained models, as described in an account in Enterprise AI.

Enhancements to the hub are said to allow great sharing of trained ML models and pipelines from the Kubeflow workflow automation tool. Permissions can be better managed to…
2019-10-03 21:30:09+00:00 Read the full story…
Weighted Interest Score: 4.1020, Raw Interest Score: 1.9753,
Positive Sentiment: 0.2195, Negative Sentiment 0.0998

‘Now is the time to make the payments world real-time,’ SWIFT

Martijn De Jong, Global Co-Head of Digital Channels and Data Analytics, Standard Chartered, speaks at Sibos 2019 about whether the financial services industry is technologically intelligent enough for the application of data analytics, how organisations are adapting to how data needs to be managed and what the opportunities are of harnessing information sources on a scalable and secure basis.

1 h
2019-10-04 14:08:00 Read the full story…
Weighted Interest Score: 4.0000, Raw Interest Score: 2.5000,
Positive Sentiment: 0.2500, Negative Sentiment 0.0000

The ambition and investment behind Sustainable Finance

Martijn De Jong, Global Co-Head of Digital Channels and Data Analytics, Standard Chartered, speaks at Sibos 2019 about whether the financial services industry is technologically intelligent enough for the application of data analytics, how organisations are adapting to how data needs to be managed and what the opportunities are of harnessing information sources on a scalable and secure basis.

1 h
2019-10-07 13:28:00 Read the full story…
Weighted Interest Score: 4.0000, Raw Interest Score: 2.5000,
Positive Sentiment: 0.2500, Negative Sentiment 0.0000

5G Wireless Networks And AI Will Power Enterprise Digital Transformation

oud computing with their 5G networks to accelerate enterprise digital transformation and unleash new business opportunities. According to the Computing Technology Industry Association (CompTIA), IoT, artificial intelligence and 5G networks are among the emerging solutions offering the greatest business and financial opportunities in the digital age. These technologies have the power to transform the business landscape and how enterprises operate on a daily basis, and they could transform the productivity and growth speed of small or large corporations. These emerging technologies must process and transmit massive qu…
2019-10-03 21:30:10+00:00 Read the full story…
Weighted Interest Score: 3.9018, Raw Interest Score: 1.8377,
Positive Sentiment: 0.4806, Negative Sentiment 0.1555

Logistic Regression Models in Scikit-Learn

Logistic regression is the bread-and-butter algorithm for machine learning classification. If you’re a practicing or aspiring data scientist, you’ll want to know the ins and outs of how to use it. Also, Scikit-learn’s LogisticRegression is spitting out warnings about changing the default solver, so this is a great time to learn when to use which solver. 😀
2019-10-05 00:00:00 Read the full story…
Weighted Interest Score: 3.8997, Raw Interest Score: 1.6807,
Positive Sentiment: 0.2801, Negative Sentiment 0.2801

Michael Hintze goes back to basics

Brexit is creating damaging uncertainty and might have implications for parliamentary democracy, but Hintze says it shouldn’t trouble investors with a broader horizon.

“The point is that Brexit feels important here [in London], but in the world as a whole it doesn’t really matter,” he says.

It’s an unusually sunny attitude for a specialist in the risk-conscious debt markets.

But it might be one worth heeding: the CQS Directional Opportunities …
2019-10-05 00:00:00 Read the full story…
Weighted Interest Score: 3.7623, Raw Interest Score: 1.6630,
Positive Sentiment: 0.1299, Negative Sentiment 0.1559

eVestment and insti7 enter data collection partnership

Institutional investment data and analytics specialist eVestment is to collect and manage French independent investment consultan insti7’s asset manager data while insti7 will incorporate eVestment data analytics solutions into its management selection and monitoring processes.

insti7 consultants will use eVestment to understand and analyse data from asset managers with whom they have existing relationships. eVestment also allows insti7 consultants will be able to access data on 4,200+ asset managers globally reporting to eVestment. These asset managers report on more than 24,500 institutional investment…
2019-10-07 00:00:00 Read the full story…
Weighted Interest Score: 3.7535, Raw Interest Score: 2.4063,
Positive Sentiment: 0.4477, Negative Sentiment 0.0000

Artificial Intelligence Technical Expert (Senior Level)

Overview

America’s Innovation Agency Hires First-Ever Artificial Intelligence Expert

A groundswell of innovation in Artificial Intelligence (AI) and deep learning within the Intellectual Property (IP) community is fueling the ways in which the United States Patent and Trademark Office (USPTO) is responding to meet the demands of an ever-increasing cache of AI patent applications (and legal rights thereto), the significance of determining AI-rel…
2019-09-30 17:57:11-07:00 Read the full story…
Weighted Interest Score: 3.7489, Raw Interest Score: 1.7333,
Positive Sentiment: 0.3778, Negative Sentiment 0.1111

Investing in Canada: the Silicon Valley of the North

Investing in Canada: the Silicon Valley of the North

The fastest-growing tech hubs are no longer limited to the San Francisco Bay Area. Canadian cities have emerged as ideal ecosystems for nurturing technology companies.

In particular, Toronto, Edmonton, Montreal, and Vancouver are well-known hubs for innovation, attracting some of the world’s top tech talent.

Today’s graphic from the Canadian Consulate in San Francisco highlights why Canada’s…
2019-10-01 23:18:51+00:00 Read the full story…
Weighted Interest Score: 3.6072, Raw Interest Score: 1.8700,
Positive Sentiment: 0.4156, Negative Sentiment 0.0189

5 Fundamental AI Principles

While AI may appear magical at times, these five principles will help guide you to avoid pitfalls when leveraging this tech.

By Gabor Angeli, Square.

AI works in mysterious ways, but these five AI principles ought to help you avoid errors when dealing with this tech.

A quick rundown of this post for the AI acolyte on the go:

Evaluate AI systems on unseen data More data leads to better models An ounce of clean data is worth a pound of dirty da…
2019-10-05 00:00:00 Read the full story…
Weighted Interest Score: 3.4866, Raw Interest Score: 1.5421,
Positive Sentiment: 0.1840, Negative Sentiment 0.2366

Probing Data’s Middle Ground

and other data repositories and the ability to view, analyze and leverage those data.

Targeting that middle ground between where data resides and how it is viewed has emerged as a growth market for data analytics vendors. Among them is Cambridge Semantics, the company behind the Anzo data lake. It used a recent white paper to promote its “dark” data discovery and integration platform that uses its semantic approach to blend enterprise data from multiple sources to develop machine learning and business intelligence tools.

“The data lake movement has made clear that the consolidation of data, in and of its…
2019-10-01 00:00:00 Read the full story…
Weighted Interest Score: 3.4637, Raw Interest Score: 2.0499,
Positive Sentiment: 0.0745, Negative Sentiment 0.1491

How to forestall the birth of a permanent global underclass

Since last year’s Cambridge Analytica scandal, countless pundits, analysts, and tech experts have argued persuasively that major tech companies like Facebook should pay consumers for their data. A handful of forward-thinking business leaders are on board with the idea — just a few days ago, tech reporters discovered Microsoft’s plans to build a new “Data Dignity” team, whose areas of research include enabling consumers to buy and sell their data….
2019-10-06 00:00:00 Read the full story…
Weighted Interest Score: 3.4144, Raw Interest Score: 1.7595,
Positive Sentiment: 0.2550, Negative Sentiment 0.3188

Today’s AI-powered data security solutions aren’t enough on their own

Right now, the need for a wholesale upgrade of the way businesses handle data security has never been more obvious. With each passing day, the threats to that data will grow and become an even bigger source of risk. One need only look at the companies who’ve fallen victim to data breaches in recent months to understand the scope of the problem.

The thing that’s holding some businesses back, though, is that their data systems are so sprawling tha…
2019-09-30 13:20:59+00:00 Read the full story…
Weighted Interest Score: 3.3898, Raw Interest Score: 1.3442,
Positive Sentiment: 0.1753, Negative Sentiment 0.4676

Charts Look Positive for Robotics and AI Stocks

Robotics and artificial intelligence (AI) are two topics that are on the minds of many investors due to the segment’s projected ability to disrupt how business is conducted in the future. In this article, we’ll take a look at three chart patterns from across the sector that suggest the bulls are stepping in and that prices are poised to break higher from here.

Global X Robotics and Artificial Intelligence Thematic ETF (BOTZ)

Excha…
2019-10-02 17:17:48.606000+00:00 Read the full story…
Weighted Interest Score: 3.3367, Raw Interest Score: 1.9022,
Positive Sentiment: 0.2717, Negative Sentiment 0.2038

AI in messaging: Hard to solve, but full of promise

There is a huge whitespace waiting to be filled by the tech companies that recognize the power and potential of messaging.

Roughly 63% of people prefer to share information on “dark social,” or closed, private messaging environments like Facebook Messenger and WhatsApp. However, the experience on these platforms remains painfully circuitous. In order to share a single piece of content within a conversation, users typically have to leave their ac…
2019-10-06 00:00:00 Read the full story…
Weighted Interest Score: 3.3298, Raw Interest Score: 1.1769,
Positive Sentiment: 0.2675, Negative Sentiment 0.2541

Atos Unveils North American Google Cloud Artificial Intelligence Lab

According to a recent press release, “Atos, a global leader in digital transformation, today launched its Google Cloud Artificial Intelligence (AI) Lab at its North American Headquarters in Irving, Texas, as part of a global partnership between Atos and Google Cloud to provide clients and businesses access to the latest analytics technologies. The Atos AI lab in North America is the latest lab and a part of a global network with other labs in London, Paris and Frankfurt. The Dallas-area lab offers North American companies the ability to…
2019-10-07 07:15:54+00:00 Read the full story…
Weighted Interest Score: 3.3180, Raw Interest Score: 1.7418,
Positive Sentiment: 0.2561, Negative Sentiment 0.1537

IEX Readies Advanced Predictive Order Types

It ain’t over til it’s over.

That’s what Hall of Fame baseball catcher Yogi Berra has been quoted as saying – and the same can be said of the Investors Exchange (IEX). While some in the market are opining that the exchange which brought the modern market structure the speed bump is down and out after exiting the corporate listings , Brad Katsuyama and Co. are alive and well.

In a recent conversation with Traders Magazine’s editor John D’Antona …
2019-10-02 18:43:46+00:00 Read the full story…
Weighted Interest Score: 3.3056, Raw Interest Score: 1.4117,
Positive Sentiment: 0.2707, Negative Sentiment 0.1160

Pacific Northwest National Lab plays role in federally funded AI research center

BOT or NOT? This special series explores the evolving relationship between humans and machines, examining the ways that robots, artificial intelligence and automation are impacting our work and lives.

Pacific Northwest National Laboratory is joining forces with two other research powerhouses to pioneer a new $5.5 million research center created by the U.S. Department of Energy to focus on the biggest challenges in artificial intelligence.

The Center for Ar tificial I ntelligence-Focused A rchitectures and A lgorithms, or ARIAA, will promote co…
2019-10-04 01:37:50-07:00 Read the full story…
Weighted Interest Score: 3.2886, Raw Interest Score: 1.5467,
Positive Sentiment: 0.2354, Negative Sentiment 0.2354

Microsoft will use AI to supercharge Novartis’ giant drug-development engine

Microsoft has reached a deal with pharmaceutical giant Novartis that aims to bring the power of artificial intelligence to drug discovery.

“AI is perhaps the most transformational technology of our time, and healthcare is perhaps AI’s most pressing application,” Microsoft CEO Satya Nadella said in a video announcing the partnership.

The five-year deal will establish an “AI innovation lab” at Novartis and create co-working centers at Novartis’ offices in Switzerland and Dublin, and at the Microsoft Research Lab i…
2019-10-01 16:35:03-07:00 Read the full story…
Weighted Interest Score: 3.2571, Raw Interest Score: 1.2132,
Positive Sentiment: 0.3120, Negative Sentiment 0.2426

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

Bank Marketing Budgets Adapt to New Missions and New Tools

ay financial marketers’ palette is far bigger with social media marketing, search engine marketing and optimization, and content marketing added to the traditional methods. And beyond that “martech,” big data and analytics are part of Marketing to varying degrees.

The chief marketing officer’s task — and talent — lies in finding the ideal blend of all of these options and tools to reach and sell the bank’s target audiences. The mix differs for every institution, but the question facing every marketing director remains: Is my marketing budget large enough?

Marketing spending is never in a vacuum. Not…
2019-10-07 04:09:10+00:00 Read the full story…
Weighted Interest Score: 3.1016, Raw Interest Score: 1.6198,
Positive Sentiment: 0.1178, Negative Sentiment 0.1104

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

big xyt launches XYT View to provide overview of fragmented European equity market

big xyt, a provider of market data analytics, has launched XYT View, a specialist aggregated view of fragmented market information that the firm says participants need to ensure that they are achieving the best possible outcomes for themselves and their clients.

Steve Grob, CEO at Vision 57 and market commentator will be working with the Strategy team to provide market consultancy and additional thought leadership.

XYT View provides a m…
2019-10-03 00:00:00 Read the full story…
Weighted Interest Score: 3.0726, Raw Interest Score: 1.1572,
Positive Sentiment: 0.2793, Negative Sentiment 0.1197

An interview with Dr. Stuart Russell, author of “Human Compatible, Artificial Intelligence and the Problem of Control” – TechCrunch

(UC Berkeley’s Dr. Stuart Russell’s new book, “Human Compatible: Artificial Intelligence and the Problem of Control, goes on sale Oct. 8. I’ve written a review, “Human Compatible” is a provocative prescription to re-think AI before it’s too late,” and the following in an interview I conducted with Dr. Russell in his UC Berkeley office on September 3, 2019.)

Ned Desmond: Why did you write Human Compatible?

Dr. Russell: I’ve been thinking about this problem – what if we succeed with …
2019-10-06 00:00:00 Read the full story…
Weighted Interest Score: 3.0635, Raw Interest Score: 1.3134,
Positive Sentiment: 0.0730, Negative Sentiment 0.1824

Enterprises are now buying ‘AI In a box’

Artificial Intelligence applications, once fully operationalised, require significant compute power and data storage. So while public cloud vendors offer enticing pricing models for AI as a service, when it comes time to move beyond experimentation it is often more cost effective to run the systems on premise.

That is according to vendor Pure Storage which last year began offering “AI in a box” in an attempt to address…
2019-10-01 06:05:41+11:00 Read the full story…
Weighted Interest Score: 3.0296, Raw Interest Score: 1.4952,
Positive Sentiment: 0.1562, Negative Sentiment 0.1339

3 Digital Health Stocks Soaring Amid Skepticism Over IPOs

Amid rising investor disillusionment with young, money losing tech companies, three digital health firms that have gone public in recent years are thriving, and have seen their stocks soar as much as 75% in 2019, dramatically outpacing the broader market. Now, these companies are expected to continue to outperform as market watchers expect strong fundamental growth. Indeed, the bright prospects for digital health have sparked a rash of new startu…
2019-10-03 18:09:03.466000+00:00 Read the full story…
Weighted Interest Score: 2.9550, Raw Interest Score: 1.9231,
Positive Sentiment: 0.4049, Negative Sentiment 0.1012

Why we moved our Silicon Valley startup to Canada

Don’t look now, Silicon Valley. Canada is coming for you.

In case you missed it last month, the $250 million funding round announced by Vancouver B.C.-based Clio was a major milestone in the rise of the Canadian tech startup ecosystem.

The funding round was not only the largest in Canadian startup history; it was led by top California-based VC firms TCV and JMI, whose previous investments include Airbnb, Facebook, Netflix, and Spotify.

Even be…
2019-10-05 00:00:00 Read the full story…
Weighted Interest Score: 2.8963, Raw Interest Score: 1.4723,
Positive Sentiment: 0.2454, Negative Sentiment 0.0866

Artificial Intelligence and Big Data in Higher Education: Promising or Perilous?

ctly is artificial intelligence (AI) and what business does it have in higher education? Simply put, AI is an attempt to emulate human knowledge by programming extensive rules into computers. Through machine learning and expert systems, machines can produce patterns within mass flows of data and pinpoint correlations that couldn’t possibly be immediately intuitive to humans.

The developmental capabilities and precision of AI ultimately depend on the gathering of data – Big Data. Where better to find a continuous stream of information than within the highly active and engaging community of students. In saying…
2019-10-01 09:30:25+00:00 Read the full story…
Weighted Interest Score: 2.8948, Raw Interest Score: 1.5680,
Positive Sentiment: 0.3301, Negative Sentiment 0.2358

TIBCO Software Launches Suite of New Products and Features

TIBCO Software, a provider of integration, API management, and analytics, is introducing a series of new products, features, and connectivity that help make agile innovation easier than.

Enhancements to the TIBCO Connected Intelligence platform further accelerate TIBCO customers’ time-to-action, enabling them to innovate faster and more sustainably, ultimately turning ideas and investments into business value.

TIBCO Cloud Mashery, TIBCO’s leadi…
2019-10-01 00:00:00 Read the full story…
Weighted Interest Score: 2.8902, Raw Interest Score: 2.0009,
Positive Sentiment: 0.4446, Negative Sentiment 0.0000

Why Community Financial Institutions Make Perfect Fintech Partners

Who really wants to stand in line to conduct simple transactions in a brick-and-mortar bank that is only open to fit the lifestyle of retirees? Almost any major financial transaction from financing a car to securing a mortgage can be conducted using mobile apps developed by fintechs. But these innovations have not made their way to the majority of traditional banking institutions yet.

It is not a lack of interest in elevating the personal bankin…
2019-10-02 00:02:27+00:00 Read the full story…
Weighted Interest Score: 2.8147, Raw Interest Score: 1.3965,
Positive Sentiment: 0.2219, Negative Sentiment 0.1305

Data-Driven KPIs Are Pillars For SME Decision Making In 2019

Big data is changing the entire nature of decision-making across organizations of all sizes. Companies on either side of the world have identified countless applications for big data, which is helping them save considerable amounts of money and get better ROIs from various assets.

Big Data is the Foundation of Modern Decision-making

These days, 92% of businesses are using data and analytics to gain grea…
2019-09-30 22:32:58+00:00 Read the full story…
Weighted Interest Score: 2.6827, Raw Interest Score: 1.5014,
Positive Sentiment: 0.4922, Negative Sentiment 0.1723

Modern Data Warehousing: Enterprise Must-Haves

SPECIAL DBTA ROUNDTABLE WEBINAR TUESDAY, NOVEMBER 19 – 11:00 am PT / 2:00 pm ET

To fit into modern analytics ecosystems, legacy data warehouses must evolve—both architecturally and technologically—to deliver the agility, scalability and flexibility that business need to thrive in today’s data-driven economy. Alongside new architectural approaches, a variety of technologies have emerged as key ingredients of modern data warehousing, from data vir…
2019-11-19 00:00:00 Read the full story…
Weighted Interest Score: 2.6801, Raw Interest Score: 1.6779,
Positive Sentiment: 0.2517, Negative Sentiment 0.1678

Why Real-Time Analytics Are Essential to Data-Driven Businesses

Nearly every large organization today wants to take advantage of big data analytics to inform decisions and gain a competitive edge. For example, the 2019 NewVantage Big Data and AI Executive Survey Report found that nearly 92% of the Fortune 500 executives they surveyed are increasing their investments in big data and AI, and 55% are spending more than $50 million.

But while nearly 62% of Fortune 500 executives say they are seeing measurable results, only 31% say the…
2019-10-02 00:00:00 Read the full story…
Weighted Interest Score: 2.6789, Raw Interest Score: 1.5282,
Positive Sentiment: 0.1618, Negative Sentiment 0.5214

Steve Grob Consults With big xyt

big xyt, the independent provider of market data analytics, today launched XYT View, a specialist aggregated view of fragmented market information that participants need to ensure that they are achieving the best possible outcomes for themselves and their clients.

The company is also pleased to announce that Steve Grob, CEO at Vision 57 and “long time” market commentator will be working with the Strategy team to provide market consultancy and additional…
2019-10-03 10:22:02+00:00 Read the full story…
Weighted Interest Score: 2.6237, Raw Interest Score: 1.0435,
Positive Sentiment: 0.3280, Negative Sentiment 0.0894

Finastra launches Fusion Mortgagebot Data Insights to help financial institutions optimize their mortgage business

– a powerful new tool that benchmarks mortgage borrower behavior and demographics for banks and credit unions against that of more than 1,400 other Fusion MortgagebotPOS users. The solution leveraged Big Data and machine learning to provide users with new insights into consumer behavior to drive a better borrower experience.

Finastra built Fusion Mortgagebot Data Insights on top of Microsoft Power BI, via FusionFabric.cloud. Using innovative artificial intelligence and data visualizations, this functionality adds powerful analytics and dashboards to help users uncover trends and spot new business o…
2019-10-01 00:00:00 Read the full story…
Weighted Interest Score: 2.6050, Raw Interest Score: 1.4017,
Positive Sentiment: 0.3645, Negative Sentiment 0.0841

Sutherland Partners with Leading AI Provider to Create the Contact Center for the Future

According to a recent press release, “Sutherland, the digital transformation company, announced today a strategic partnership with Augment CXM, the provider of AI-powered management tools for contact centers, to deliver Sutherland CXi, an AI-driven solution that can observe patterns, predict outcomes and provide real-time guidance to enhance customer–agent interactions. With the partnership, Sutherland will be providing its global customers with …
2019-10-07 07:05:51+00:00 Read the full story…
Weighted Interest Score: 2.5316, Raw Interest Score: 1.2673,
Positive Sentiment: 0.2880, Negative Sentiment 0.2880


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