AI & Machine Learning News. 28, 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?


GP Bullhound invests USD10m in RavenPack

GP Bullhound has invested USD10 million in RavenPack, a provider of alternative data and insights for financial institutions.

The company’s database, comprising over 19,000 sources spanning over 20 years, is used by financial institutions who subscribe to the platform in order to enhance performance and manage risk. RavenPack will use the proceeds to expand in Asia, as well as to go into other sectors beyond financial services.
2019-10-28 00:00:00 Read the full story…
Weighted Interest Score: 7.0906, Raw Interest Score: 2.3889,
Positive Sentiment: 0.2778, Negative Sentiment 0.0556

CloudQuant Thoughts… RavenPack is just one of the exceptional data sets available to users of the CloudQuant backtesting system. It is not surprising that they are expanding their service out into other markets. To get a taste of the type of data they offer run one of our demo scripts on app.CloudQuant.com.

Google rolls out updates to AI Platform Prediction and AI Platform Training

Google’s AI Platform, a cloud-hosted service facilitating machine learning and data science workflows, today gained a new feature in backend models that tap powerful Nvidia graphics chips. In related news, Google debuted a refreshed model training experience that allows users to run a training script on any range of hardware.

For the uninitiated, AI Platform enables developers to prep, build, run, and share machine learning models quickly and easily in the cloud. Using built-in data labeling services, they’re able to annotate model training images, videos, audio, and text corpora by applying classification, object detection, and entity extraction. A managed Jupyter Notebook service provides support for a slew of machine learning frameworks, including Google’s TensorFlow, while a dashboard within the Google Cloud Platform console exposes controls for managing, experimenting with, and deploying models in the cloud or on-premises.

2019-10-25 00:00:00 Read the full story…
Weighted Interest Score: 4.8313, Raw Interest Score: 2.4231,
Positive Sentiment: 0.3077, Negative Sentiment 0.1154

CloudQuant Thoughts… More and more options for utilizing cloud AI services with greater flexibility and choice of hardware used is making ML and AI easier with every passing day. I wonder when I will be able to select the quantum processor?

Everything You Need To Know About TensorFlow 2.0 To Write Your First ML Programme

Recently the machine learning world was presented with a better version of a framework that was wildly popular but was criticised for it complex APIs, messy collection of packages (most of which were deprecated) and loose debugging capabilities.

TensorFlow 2.0 is aimed at gaining back the growing traction that seems to be shifting towards PyTorch among other frameworks. Now, TensorFlow’s latest version improves on its past i…
2019-10-24 15:14:27+05:30 Read the full story…
Weighted Interest Score: 4.6438, Raw Interest Score: 1.7505,
Positive Sentiment: 0.4456, Negative Sentiment 0.2228

CloudQuant Thoughts… Do Google ever rest? PyTorch was definitely leading TensorFlow but with these improvements there should be a more reasonable competition between the two. Libraries and packages are now well structured with deprecated libraries removed. There is also a v2 upgrade script to help devs update their code. Output now  default eager execution allowing users to see output on the go without having to wait for the run to complete.

Lazarus Recognized as AI World Startup Award Winner

Lazarus uses patient health data to provide Clinical Decision Support, including early cancer detection. By using its clinical decision support tools, physicians are said to be able to improve their diagnostic accuracy from 76% all the way up to 93%. The company uses deep learning and accesses millions of patient records. The business model is to sell tests and subscriptions for physicians and hospitals, and sell anonymous datasets to insurance companies and research companies.

CEO and Founder Ariel Elizarov told AI Trends that the company has four hospitals running pilots involving 27 primary care physicians. “”Physicians are overwhelmed with the amount of data they have to process. Our value proposition is to make primary care doctors into specialists for five minutes,” helping them make more accurate diagnoses.

2019-10-25 12:15:03+00:00 Read the full story…
Weighted Interest Score: 4.1952, Raw Interest Score: 1.9677,
Positive Sentiment: 0.2432, Negative Sentiment 0.0663

CloudQuant Thoughts… The nominees incredible diversity reflects the current boom in AI/ML services. From help finding and establishing a team to auto data clean up to ML automation to Deployment and Operations the range of services, assistance and opportunities just keep growing at a phenomenal rate.

Big Tech Is Making A Massive Bet On AI … Here’s How Investors Can, Too

Artificial intelligence is becoming the future of everything. Yet, only a few large companies have the talent and the technology to perfect it. That’s the gist of New York Times story published late last week. Rising costs for AI research are locking out university researchers and garage entrepreneurs, two of the traditional — and historically best — founts of innovation.

AI is the beginning of a new era. Data is becoming the code. Business models will evolve as computer algorithms start to make connections where none seemed to previously exist. In the process, the companies with the best algorithms will start to solve the medical, economic and social problems that have vexed researchers and scientists for decades. Investors need to understand that winners and losers are being determined right now as the cost of AI research becomes prohibitive.

2019-10-26 00:00:00 Read the full story…
Weighted Interest Score: 3.5370, Raw Interest Score: 1.6262,
Positive Sentiment: 0.2680, Negative Sentiment 0.1787

CloudQuant Thoughts… Amazon (AMZN), Microsoft (MSFT), Alphabet (GOOG, GOOGL) and Facebook (FB) lead the way in Western AI research. They are so far ahead of their competition that it seems to make an investment choice a no brainer. But the currently voiceless other side of this business deal are the originators of the data.. the people of the planet. And recent events suggest they are less than happy with this new big data world.

The Overlooked Benefits Of ASP.Net In Big Data Analytics

Big data analytics is an advanced technology that uses predictive models, statistical algorithms to examine vast sets of data, or big data to gather information used in making accurate and insightful business decisions. ASP.Net is an open-source widely used advanced web development technology that was developed by Microsoft. ASP.Net programming languages include C#, F# and Visual Basic. C# also called C S…
2019-10-24 14:55:26+00:00 Read the full story…
Weighted Interest Score: 4.1506, Raw Interest Score: 2.4315,
Positive Sentiment: 0.3667, Negative Sentiment 0.1737

Micron Introduces Comprehensive AI Development Platform

A recent press release reports, “Micron Technology, Inc., today announced a powerful new set of high-performance hardware and software tools for deep learning applications with the acquisition of FWDNXT, a software and hardware startup. When combined with advanced Micron memory, FWDNXT’s (pronounced ‘forward next’) artificial intelligence (AI) hardware and software technology enables Micron to explore deep learning solutions required for data ana…
2019-10-28 07:05:26+00:00 Read the full story…
Weighted Interest Score: 4.1137, Raw Interest Score: 2.4272,
Positive Sentiment: 0.3641, Negative Sentiment 0.0000

IBM Adds AI to Planning Analytics

Among the emerging enterprise applications for AI are cloud-based business intelligence tools that can be used to collect, organize and explore financial data, helping planners move beyond their beloved spread sheets to build predictive models that can be used, for example, to generate more reliable budget forecasts.

Players like IBM (NYSE: IBM) are promoting AI-based business intelligence platforms and “planning analytics” tools that can be use…
2019-10-24 00:00:00 Read the full story…
Weighted Interest Score: 4.0779, Raw Interest Score: 1.8868,
Positive Sentiment: 0.1217, Negative Sentiment 0.0609

Top Trends in Modern Data Architecture for 2020

Top Trends in Modern Data

Architecture for 2020

SPECIAL DBTA ROUNDTABLE WEBINAR THURSDAY, FEBRUARY 27, 2020 – 11:00 am PT / 2:00 pm ET

From AI and machine learning, to data discovery and real-time analytics, a strong data architecture strategy is critical to supporting your organization’s data-driven goals. Greater speed, flexibility and scalability are common wish-list items, alongside smarter data governance and security capabilities. Many new technologies and approaches have come to the forefront of data architecture discussions. Join us for a special ro…
2020-02-27 00:00:00 Read the full story…
Weighted Interest Score: 4.0449, Raw Interest Score: 2.2523,
Positive Sentiment: 0.2252, Negative Sentiment 0.1126

FinServ Ramps Up Machine Learning

Two thirds of financial services firms currently deploy machine learning and expect to increase their use of the technology within the next three years.

The Bank of England and the UK Financial Conduct Authority conducted a joint survey this year on the current use of machine learning, a methodology where computer programmes fit a model or recognise patterns from data, without being explicitly programmed and with limited or no human intervention…
2019-10-22 15:03:08+00:00 Read the full story…
Weighted Interest Score: 3.9311, Raw Interest Score: 1.9297,
Positive Sentiment: 0.1572, Negative Sentiment 0.0715

How To Do Machine Learning When Data Is Unlabelled

Semi-weakly supervised learning is a product of combining the merits of semi-supervised and weakly supervised learning. The goal here is to create efficient classification models.

To test this, Facebook AI has used a teacher-student model training paradigm and billion-scale weakly supervised data sets.

An example of a weakly supervised data set can be hashtags associated with publicly available photos. Since Instagram is rich with such data, it…
2019-10-23 13:06:08+05:30 Read the full story…
Weighted Interest Score: 3.7727, Raw Interest Score: 1.9773,
Positive Sentiment: 0.3182, Negative Sentiment 0.0227

MicroStrategy and DataRobot Target Faster Enterprise AI-Driven Insights Without Disrupting Workflow

MicroStrategy, a provider of enterprise analytics and mobility software, has announced a new technology partnership with DataRobot, a provider of enterprise AI. The companies want to make it easier for businesses to integrate AI into their most popular applications and core processes by leveraging MicroStrategy HyperIntelligence cards to deliver AI-driven insights and recommendations. According to the companies, this will seamlessly inject truste…
2019-10-21 00:00:00 Read the full story…
Weighted Interest Score: 3.6488, Raw Interest Score: 1.5184,
Positive Sentiment: 0.3615, Negative Sentiment 0.1446

Top 5 Data Science Master’s Programmes In Germany

Data science domain over the years has invaded most industries across the globe. The rise of data science and related technologies is so significant that universities across the world have started offering Master’s programmes in Data Science. Germany is one such nation that has become really popular for the MS courses it provides for the data science enthusiasts. Even on knowledge sharing platforms like Quora and Reddit, questions regarding MS in…
2019-10-23 10:00:44+05:30 Read the full story…
Weighted Interest Score: 3.5825, Raw Interest Score: 1.8010,
Positive Sentiment: 0.2547, Negative Sentiment 0.0182

WiseTech is expensive compared to Microsoft

Microsoft’s overall net income rose 21 per cent to $US10.7 billion ($15.6 billion) and diluted earnings per share rose 21 per cent to $US1.38.

Microsoft’s chief executive, Satya Nadella, and the company’s chief financial officer, Amy Hood, gave upbeat answers to questions from analysts on an earnings call on Thursday morning, Sydney time.

They said Microsoft was not only winning market share in cloud computing, it was lifting its profit margins…
2019-10-24 00:00:00 Read the full story…
Weighted Interest Score: 3.5754, Raw Interest Score: 1.6457,
Positive Sentiment: 0.1395, Negative Sentiment 0.1116

StreamSets and Databricks Leverage DataOps to Accelerate ETL and Machine Learning

StreamSets, a provider of a DataOps data integration platform, is partnering with Databricks, a provider of unified data analytics, to support data teams with rapid, no-code development using Apache Spark and Delta Lake.

According to the companies, the joint solution of the StreamSets DataOps Platform and Delta Lake on Databricks helps organizations apply a DataOps mentality to their critical data science and advanced analytics projects.

Specifically, the StreamSets DataOps Platform makes it easier to ingest, integrate and…
2019-10-25 00:00:00 Read the full story…
Weighted Interest Score: 3.4662, Raw Interest Score: 1.9064,
Positive Sentiment: 0.3466, Negative Sentiment 0.0867

Biased technology that favors white patients runs rampant in hospitals

Artificial intelligence experts have been warning for years that bias in automation could cause unintentional harm in the future. But it’s also happening with technology that’s being used right now. In a recent paper published in Science, researchers lay out how a common algorithm used in hospitals to assess whether a patient needs extra care was making significantly biased recommendations.

According to researchers, th…
2019-10-28 08:00:20 Read the full story…
Weighted Interest Score: 3.4627, Raw Interest Score: 1.1801,
Positive Sentiment: 0.0000, Negative Sentiment 0.3045

WATCH: Top 10 TED Talks On Data Science

ngly, TED Talks are not limited a specific area of interest — they cover a wide plethora of topics, including emerging technologies like artificial intelligence, machine learning, internet of things, data science and quantum computing, among others.

With Data Scientist being the hottest job of the 21st century, all aspirants should watch these videos to get new ideas and upskill their skills.

In this article, we list down 10 must-watch TED Talks in data science.

1| Truth in Data Science

This talk is presented by Jaya Tripathi who is a Principal Data Scientist at MITRE Corporation, Massachusetts. The s…
2019-10-25 14:00:27+05:30 Read the full story…
Weighted Interest Score: 3.4585, Raw Interest Score: 1.7936,
Positive Sentiment: 0.1688, Negative Sentiment 0.1055

How to succeed with AI and machine learning at scale

to predicting machine failure to understanding customer behavior — AI has the potential to deliver game-changing business value in a variety of different areas.

You may have even dabbled with AI and machine learning (ML) models in a few pilot projects. But has your organization actually delivered on the promise of AI with tangible business benefits? If not, you aren’t alone; most of your peers are facing similar issues.

Gartner predicts that over the next year “80% of AI projects will remain alchemy, run by wizards whose talents will not scale in the organization.” We have seen this happen time and again in…
2019-10-25 00:00:00 Read the full story…
Weighted Interest Score: 3.4074, Raw Interest Score: 1.6449,
Positive Sentiment: 0.2292, Negative Sentiment 0.2966

Data Dynamics Announces Intent to Acquire Infintus Innovations

According to a recent press release, “Data Dynamics announces its intent to acquire Infintus Innovations Pvt. Ltd, with the acquisition to close before the end of the year. Infintus is a data analytics company that automates and analyzes unstructured data using AI. The addition of Infintus enables Data Dynamics to provide content level analytics, thus offering more granularity into the visibility of data and complementing its metadata-driven analytics, policy-based movement, and management capabilities.”

The release goes on, “80% of the data in an enterprise is unstructured and growing 60% yea…
2019-10-28 07:15:39+00:00 Read the full story…
Weighted Interest Score: 3.2967, Raw Interest Score: 1.8482,
Positive Sentiment: 0.3497, Negative Sentiment 0.1499

AI Is The Unsung Trend In The Digital Marketing Revolution

The world of digital marketing is always changing. New trends are emerging every day. There are various methodologies, and principles that are introduced to online marketing continuously. However, the application of artificial intelligence will cause a significant transformation in the digital marketing landscape.

Many digital marketers believe that AI will play an essential role in the future of this trade. It is definitely not a niche field. G…
2019-10-21 20:26:34+00:00 Read the full story…
Weighted Interest Score: 3.2402, Raw Interest Score: 1.4701,
Positive Sentiment: 0.4488, Negative Sentiment 0.0464

10 Most In-Demand Tech Skills (and Jobs) at Google

A job at Google is something many technologists dream of. It’s a steep climb, though; there’s a ton of competition, and Google can have its pick of the talent pool. But there are key details in its jobs data that might just help you land your dream job at on of its campuses worldwide.

We dug through data from Burning Glass’ NOVA jobs database, isolating Google from every other company on the planet (really; Burning Glass is extensive, and tracks…
2019-10-23 00:00:00 Read the full story…
Weighted Interest Score: 3.1790, Raw Interest Score: 2.5260,
Positive Sentiment: 0.1384, Negative Sentiment 0.0346

5 Important Ways Artificial Intelligence Improves Sales

Our cutthroat digital age has started to implement AI applications in our everyday lives, various industries; and businesses, and sales are no exception. The way how AI is changing sales activities and strategies, affecting customer relations and developing partnerships between sales representatives and AI, recently became a fundamental buzz in the industry. Research shows that using intelligent technologies in the sales reporting practice can im…
2019-10-24 09:30:10+00:00 Read the full story…
Weighted Interest Score: 3.1220, Raw Interest Score: 1.5646,
Positive Sentiment: 0.2738, Negative Sentiment 0.0782

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 analytics ecosystems with greater speed, flexibility …
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

Prove Your Metal: Top 10 Strongest Metals on Earth

How AI and Big Data Will Unlock the Next Mineral Discovery

Emerging technologies such as artificial intelligence (AI) and machine learning are rapidly proving their value across many industries.

Today’s infographic comes from GoldSpot Discoveries, and it shows that when this tech is applied to massive geological data sets, that there is growing potential to unlock the next wave of mineral discoveries.

Mineral Exploration: Fortunes Go to the Few

Discovering new sources of minerals, such as copper, gold, o…
2019-10-22 13:14:47+00:00 Read the full story…
Weighted Interest Score: 3.0946, Raw Interest Score: 1.6501,
Positive Sentiment: 0.3165, Negative Sentiment 0.1130

Google to bring AI for biodiversity research to TensorFlow Hub

Machine learning algorithms abound in biodiversity research, but sometimes without the proper attribution or oversight. In an effort to raise the academic bar, Google says it will release an AI workflow for institutions, developed in collaboration with Global Biodiversity Information Facility (GBIF), iNaturalist, and Visipedia. Researchers at the tech giant say the workflow will support data aggregation and colla…
2019-10-25 00:00:00 Read the full story…
Weighted Interest Score: 2.9356, Raw Interest Score: 1.4532,
Positive Sentiment: 0.2294, Negative Sentiment 0.0382

Voice Of The Attendee: Data And Analytics Strategy, AI/ML, CX, And Growth

It’s T-minus two weeks to Forrester’s second Data Strategy & Insights Forum, in Austin, Texas. Over 300 data and analytics leaders will gather to share, learn, and get inspired! For those of you who have already registered and plan to attend, you answered one key question during the registration process: What is your top priority in the next 12 months? As a data and analytics professional, you might have thought to yourself, “I wonder what they a…
2019-10-22 09:17:20-04:00 Read the full story…
Weighted Interest Score: 2.9259, Raw Interest Score: 1.4538,
Positive Sentiment: 0.2700, Negative Sentiment 0.0415

iPR Software Introduces the First AI Application for Online Newsrooms and Digital Publishing

Digital Asset Management (DAM) solutions, and customized integrated solutions, announced its largest technology rollout to date… With the launch of ‘Metatron,’ iPR Software’s new application empowers Artificial Intelligence (AI) cloud capabilities as well as integrating the power of machine learning into DAM and customized software platforms to increase productivity and corporate asset sharing across multiple customer ecosystems. This latest software release further advances the company’s vision for clients to publish their news and information to Traditional and Social media channels and better engage their B2B & B…
2019-10-28 07:10:12+00:00 Read the full story…
Weighted Interest Score: 2.8603, Raw Interest Score: 1.7650,
Positive Sentiment: 0.3861, Negative Sentiment 0.1103

Mirakl and Silverback.ai Announce Deeper Strategic Partnership

the leading AI-driven marketplace performance engine, announced today a deeper partnership with Mirakl, the leading global marketplace platform solutions provider, which will bring more sophisticated artificial intelligence capabilities to Mirakl customers. Through its partnership with Silverback.ai, Mirakl will be able to provide its customers with the ability to make automated data-driven decisions at scale to ensure a constant competitive offering (best sellers, best products, best prices) and to optimise promotions to rapidly accelerate growth.”

The release goes on, “Online retail is becoming more competitive, …
2019-10-25 07:10:34+00:00 Read the full story…
Weighted Interest Score: 2.8492, Raw Interest Score: 1.7385,
Positive Sentiment: 0.8345, Negative Sentiment 0.1391

Inside OmniSci’s Plans for Data Analytics Convergence

You may know OmniSci as the provider of a fast SQL-based database that runs on GPUs. But the company formerly known as MapD is moving beyond its GPU roots and is building a data platform that runs on CPUs and does machine learning too–a vision that it shared at its inaugural Converge conference in Silicon Valley this week.

“The original business of OmniSci was not just to build a visual analytics platform or visual database,” OmniSci co-founder …
2019-10-23 00:00:00 Read the full story…
Weighted Interest Score: 2.8372, Raw Interest Score: 1.6186,
Positive Sentiment: 0.1619, Negative Sentiment 0.0674

IXICO swings into profit as brain data analysis sales soar

What IXICO does:

’s (LON:IXI) data analytics services are used by the global biopharmaceutical industry to interpret data from brain scans and digital biosensors to enable better trial design, site qualification, patient selection and clinical outcomes.

The company’s digital platform and Artificial Intelligence (AI) software manages and helps interpret images from MRI (magnetic resonance imaging) and PET (positron emission tomography) scan…
2019-10-28 00:00:00 Read the full story…
Weighted Interest Score: 2.8238, Raw Interest Score: 1.3177,
Positive Sentiment: 0.2928, Negative Sentiment 0.0000

Top 7 Checkpoints To Consider During Machine Learning Production

A major challenge for any company that is starting out in the realm of data-driven markets is the deployment of machine learning pipelines at full scale for their products.

To tap the most out of AI, it is necessary to build service-specific tools and frameworks in addition to the existing models. The best strategy varies from product to product; but the rubrics of machine learning stay the same.

To democratise the use of machine learning, Goog…
2019-10-25 12:36:10+05:30 Read the full story…
Weighted Interest Score: 2.7972, Raw Interest Score: 1.7054,
Positive Sentiment: 0.1851, Negative Sentiment 0.3570

Is Data Science The Right Choice For You?

Data science is the “sexiest job of the 21st century” and might also have the highest paycheck compared to a lot of other jobs. And despite these perks and benefits, there is a burning question that often puts people in a serious dilemma — is data science the right fit for me?

There are people who end up becoming a part of this tribe and then later regret when things turn difficult. This is mostly because of…
2019-10-25 18:00:48+05:30 Read the full story…
Weighted Interest Score: 2.7875, Raw Interest Score: 1.5691,
Positive Sentiment: 0.2400, Negative Sentiment 0.2215

Data Orchestration Brings Your Data Closer and Makes Access Faster

Data orchestration means trying to bring order and speed to a complex Big Data ecosystem, a conglomeration of storage systems like Amazon S3, Apache HDFS, or OpenStack Swift and computation frameworks and applications such as Apache Spark and Hadoop MapReduce. The data stack is fragmented and performance-challenged by a proliferation of data silos.

The technology aims to break through the “walled gardens” that today inhibit the ability for applications and people to access…
2019-10-22 07:35:57+00:00 Read the full story…
Weighted Interest Score: 2.7778, Raw Interest Score: 1.5136,
Positive Sentiment: 0.0832, Negative Sentiment 0.0998

Verizon and SAP Co-developing Next Gen IoT Analytics Solutions

According to a recent press release, “Verizon and SAP SE today announced a collaboration that will enable applications to process data where it is generated – from an assembly line to a retail store shelf, helping businesses save time and increase productivity. The companies are partnering to create enterprise solutions that use Verizon’s network and platform capabilities integrated with SAP’s software and services, particularly the SAP® Leonardo…
2019-10-25 07:05:12+00:00 Read the full story…
Weighted Interest Score: 2.7344, Raw Interest Score: 1.8229,
Positive Sentiment: 0.3255, Negative Sentiment 0.0000

What Are Deep Energy-Based Memory Models?

Associative memory is a strategy developed by living organisms over many years of evolution. This is true of humans, as we use associative memory to tell a story about two unrelated things to grasp more information in less time. Memory optimisation is important in case of resource-hungry deep learning tasks as well. Though the analogy between neuroscience and artificial neural networks has been beaten to a pulp, mimicking nature is still opening …
2019-10-25 13:13:06+05:30 Read the full story…
Weighted Interest Score: 2.7259, Raw Interest Score: 1.7199,
Positive Sentiment: 0.1966, Negative Sentiment 0.1474

Human intelligence will power machine earning

The role of the risk function had changed in the last two decades as it had become driven by technology, said Mr Smout, who is KPMG’s global lead, governance, risk & assurance and risk strategy & technology partner.

The role of the risk function has changed in the last two decades as it had become driven by technology, said KPMG’s Kevin Smout. Jeremy Piper

“The risk function can start to be seen as value-adding, because it is taking in all the …
2019-10-22 00:00:00 Read the full story…
Weighted Interest Score: 2.6976, Raw Interest Score: 1.7626,
Positive Sentiment: 0.2250, Negative Sentiment 0.1875

The European SpaceTech industry is firing up its booster rockets – TechCrunch

A new space race is forming globally, energized by venture capital and the hype around companies like Elon Musk’s SpaceX and Jeff Bezos’ Blue Origin. The privately-funded space industry is still in its infancy, but there has been an explosion of startups and investors in the sector, and the fever has, in the last few years, spread to Europe. The development of SpaceTech startups will be crucial to the advancement of services we have come to rely …
2019-10-26 00:00:00 Read the full story…
Weighted Interest Score: 2.6909, Raw Interest Score: 1.5273,
Positive Sentiment: 0.2909, Negative Sentiment 0.0727

Apache Arrow Takes ‘Flight’ with Big Data Net

ome of the pain associated with accessing large data sets over networks.

Apache Arrow Flight is described as a general-purpose, client-server framework intended to ease high-performance transport of big data over network interfaces. A recent release of Apache Arrow includes Flight implementations in C++ and Python, the former with Python bindings.

“One of the biggest features that sets apart Flight from other data transport frameworks is parallel transfers, allowing data to be streamed to or from a cluster of servers simultaneously,” Apache Arrow evangelist Wes McKinney explained in a blog post unve…
2019-10-23 00:00:00 Read the full story…
Weighted Interest Score: 2.6897, Raw Interest Score: 1.5690,
Positive Sentiment: 0.1601, Negative Sentiment 0.0961

4 Tips You Need To Know on NLP — from a Twitter Data Scientist

Could you please describe your professional background?

My name is Alfonso Bonilla. I am a Computational Linguist currently working as a Data Scientist at Twitter. What exactly is a Computational Linguist? Computational Linguistics (CL) is a branch of linguistics that uses computational methods to solve linguistic problems. Over the past few years, I have become increasingly interested in the interpretability of Machine Learning Models (specific…
2019-10-27 04:03:12.239000+00:00 Read the full story…
Weighted Interest Score: 2.6708, Raw Interest Score: 1.2148,
Positive Sentiment: 0.2002, Negative Sentiment 0.2937

Microsoft tops expectations as cloud computing boosts earnings

The computing giant reported first-quarter earnings of US$1.38 per share, above analyst predictions of US$1.25, while revenues came in at US$33.06bn compared to estimates of US$32.2bn

The group has been shifting its focus towards cloud computing and away from traditional PCs

Microsoft Corp ( ) saw its share gain in the pre-market on Thursday after first-quarter earnings delivered overnight on Wednesday topped estimates thanks to a boost from it…
2019-10-24 00:00:00 Read the full story…
Weighted Interest Score: 2.5751, Raw Interest Score: 1.0968,
Positive Sentiment: 0.2384, Negative Sentiment 0.0954

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: 2.5677, Raw Interest Score: 1.5983,
Positive Sentiment: 0.2085, Negative Sentiment 0.1390

Quantum Computing plans to introduce dynamism of Quantum computing to the masses

of 2018, Quantum bills itself as the first pure-play publicly-traded quantum computing company

The company is introducing a collection of applications – useful in investment management, big data and artificial intelligence – which aim to help companies use the power of Quantum computing to their advantage

The key advance is its development of a quantum annealer, a simulator that mimics quantum computing and functions at speeds of up to 12 qubits

What Quantum Computing does:

( ) is placing a gargantuan bet on the power of quantum computers to solve the most difficult and intractable problems in the fields of port…
2019-10-24 00:00:00 Read the full story…
Weighted Interest Score: 2.5596, Raw Interest Score: 1.3374,
Positive Sentiment: 0.2193, Negative Sentiment 0.1535

Data Lake Modernization for Speed, Scale and Agility

DBTA ROUNDTABLE WEBINAR THURSDAY, MARCH 19, 2020 – 11:00 am PT / 2:00 pm ET

Data lake adoption has more than doubled over the past three years. Currently in use by 45% of DBTA subscribers to support data science, data discovery and real-time analytics initiatives, data lakes are still underpinned by Hadoop in many cases, although cloud-native approaches are on the rise. The technologies and best practices surrounding data lakes continue to evolve, as well as the challenges, from data governance and security, to integration and architecture. Join us for a special roundtable webinar on March 19th to learn …
2020-03-19 00:00:00 Read the full story…
Weighted Interest Score: 2.5355, Raw Interest Score: 1.6227,
Positive Sentiment: 0.2028, Negative Sentiment 0.1014

Netflix’s Move To Open-Sourcing Polynote Will Simplify ML & Data Science Workflows

Machine learning engineers and data scientists are the backbones of any organisations and more so for blue-chip companies like Netflix, Facebook and Google, among others. These companies possess a plethora of data that are moulded to unearth insights for making informed decisions. That is why these companies continuously strive to facilitate superior environments for their data scientists to effortlessly perform …
2019-10-25 19:00:26+05:30 Read the full story…
Weighted Interest Score: 2.5250, Raw Interest Score: 1.6864,
Positive Sentiment: 0.4102, Negative Sentiment 0.2051

Why Intelligent Process Automation Looks Like the Next Wave

Robotic process automation, acronymed RPA, has been one of the hottest areas of tech in the last two years, based on venture investment and enterprise adoption. In 2018 alone, three companies raised more than $1 billion: Automation Anywhere ($550 million), UiPath ($378 million) and BluePrism ($130 million). Additionally, it was recently reported that UiPath plans to raise another $300 million to $400 million by the end of this year.

RPA’s simple…
2019-10-21 00:00:00 Read the full story…
Weighted Interest Score: 2.5089, Raw Interest Score: 1.4426,
Positive Sentiment: 0.3562, Negative Sentiment 0.1069

AI Liability Comes Into Sharper Focus

Financial markets are relying on autonomous technology like neural networks and smart contracts more and more, but the industry and market regulators continue to work out who is liable when the technology goes rogue.

Although the technology is new, the issues of governance, cybersecurity, and privacy are not, according to Gary DeWaal, special counsel, chair, financial, markets, and regulatory, at law practice Katten Muchin Rosenman.

“The import…
2019-10-25 18:00:37+00:00 Read the full story…
Weighted Interest Score: 2.4793, Raw Interest Score: 1.3041,
Positive Sentiment: 0.1272, Negative Sentiment 0.4771

McKinsey’s Rajgopal: Volcker Rule not doomsday for bank/fintech partnerships

Regulatory changes in the US, including the rollback of the Volcker rule, will not be “deterministic” of banks’ propensity to partner with fintechs, according to Kausik Rajgopal, managing partner for McKinsey’s Western US region.

“I think the rule will have an impact on banks directly, and I think it could impact the potential for banks to partner with fintechs in some ways, but we don’t think that it’s a huge game-changer,” says Rajgopal.

“The…
2019-10-28 00:00:00 Read the full story…
Weighted Interest Score: 2.4590, Raw Interest Score: 1.0056,
Positive Sentiment: 0.2117, Negative Sentiment 0.2117

LPL Has ‘Reduced Pricing’ to Help Advisors: CEO

LPL Financial President and CEO Dan Arnold

LPL Financial executives laid out their tech-focused growth strategies after releasing strong earnings Thursday and also said the firm has “reduced pricing” in the context of the overall industry movement to zero fees.

The independent broker-dealer’s net income jumped 23% and earnings per share 32% year over year to $132 million, or $1.57 per share, in the third quarter of 2019, beating estimates; reve…
2019-10-25 00:00:00 Read the full story…
Weighted Interest Score: 2.4552, Raw Interest Score: 1.3894,
Positive Sentiment: 0.3520, Negative Sentiment 0.0185

Data Management Best Practices for Machine Learning

Data Management Best Practices

for Machine Learning

SPECIAL DBTA ROUNDTABLE WEBINAR THURSDAY, JANUARY 23, 2020 – 11:00 am PT / 2:00 pm ET

Machine learning is on the rise at businesses hungry for greater automation and intelligence with use cases spreading across industries. A recent study fielded amongst the subscribers of Database Trends and Applications found that 48% currently have machine learning initiatives underway with another 20% cons…
2020-01-23 00:00:00 Read the full story…
Weighted Interest Score: 2.3850, Raw Interest Score: 1.8900,
Positive Sentiment: 0.4296, Negative Sentiment 0.0000

Docker Solution For TensorFlow 2.0: How To Get Started

l and has become one of the most useful tools in the software industry. Today, Docker has become synonymous for containers.

In one of our previous articles, we discussed how Docker is helping in the Machine Learning space. Today, we will implement one of the many use cases of Docker in the development of ML applications.

What you will learn

Introduction To Docker

Installing & Setting Up Docker

Getting Started With Docker

TensorFlow 2.0 Container Downloading Tensorflow 2.0-Docker Firing Up Container Accessing The Jupyter Notebook Sharing Files Installing Missing Dependencies Committing Changes & Saving T…
2019-10-25 17:25:46+05:30 Read the full story…
Weighted Interest Score: 2.3738, Raw Interest Score: 1.3324,
Positive Sentiment: 0.1102, Negative Sentiment 0.0601


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