AI & Machine Learning News. 04, November 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?

Very neat Fake version of Boston Dynamics type robotics and AI. Impressive CGI!

Google launches and TensorFlow Enterprise

Google today announced the preview launch of for sharing TensorBoard machine learning visualizations and TensorFlow Enterprise, a cloud service produced through a collaboration between Google’s TensorFlow and cloud teams.

“You’ll now be able to host and track your ML experiments and share them publicly, no setup required. Simply upload your logs and share the URL so that others can see the experiments and what you’re doing with TensorBoard,” Google VP of engineering Megan Kacholia said onstage today at TensorFlow World in Santa Clara, California.

2019-10-30 00:00:00 Read the full story…
Weighted Interest Score: 6.3549, Raw Interest Score: 2.6999,
Positive Sentiment: 0.2038, Negative Sentiment 0.1019

Cloudquant Thoughts : Google’s investment in AI/ML and now Quantum processing is reflected in the huge announcements they make week on week. They are far and away the most prolific producer out there.

IIT Madras Researchers Develop ‘AISoft’, An AI Algorithm To Solve Engineering Problems

After the recent announcement on their plans to double the number of seats for its Inter-Disciplinary Dual Degree (IDDD) program on Data Science, IIT-Madras is in news again. This time for its plans to establish an AI startup.

This comes after a team of researchers at the institutes led by Vishal Nandigana, assistant professor, Fluid Systems Laboratory, Department of Mechanical Engineering, IIT-Madras developed the AI and Deep Learning algorithms.

Called ‘AISoft’, it aims to address engineering problems in various fields such as thermal management, semiconductors, automobile, aerospace and electronics cooling applications. According to researchers, AISoft has been tested to solve thermal management problems. “We found it to be nearly million-fold faster compared to existing solutions currently used in the field,” one of the researchers was quoted as saying.

2019-10-29 13:16:39+00:00 Read the full story…
Weighted Interest Score: 4.7774, Raw Interest Score: 1.9837,
Positive Sentiment: 0.0976, Negative Sentiment 0.5528

Cloudquant Thoughts : I remember the first time I used software to lay out tracks on a Printed Circuit Board instead of drawing them myself. It was fascinating to watch and felt like a step into the future. Now we have AI solving thermal management for Google and Amazon’s datacenters and now down to the chip level and doing it a million times faster than current solutions (and I would lay odds that the current solution is no slouch!).

How Well Do Organisations Understand The Challenges & ROI On AI Implementation?

Over the last decade or so, organisations from across industries have understood the significance of artificial intelligence and are trying to implement AI-powered systems for several processes such as sales and business forecasting, responders and online customer support and more.

However, most of these growth-hungry organisations don’t have a clear view of the cost of implementation and the challenges regarding AI-based systems. The extent to which most companies think about the cost is just the tip of the iceberg. There are several other expenses and challenges that are added on when they go on to deploy AI.

In this article, we are going to discuss some points that show it is not a cakewalk to have an AI system to transform your business. There is another picture apart from the marketing hype that many companies have not seen yet.

  • AI Is Not A Product
  • Yes, You Need A Dedicated Team/Department For AI
  • Data Management Is A Challenge
  • It’s More Than A One Time Cost
  • AI Is Not Automation

2019-11-04 10:52:05+00:00 Read the full story…
Weighted Interest Score: 4.2857, Raw Interest Score: 1.7381,
Positive Sentiment: 0.1159, Negative Sentiment 0.2704

CloudQuant Thoughts : AI promises great returns and delivers extremely impressive results right at the front of the research process but the tail of that process can be very long indeed. Even if you have a quality infrastructure in place there a still hundreds of edge cases you must consider prior to taking an AI system live.

AI will not be job killer – IBM research

Contrary to the conventional wisdom, new technologies such as AI will actually kill off few jobs, according to research from the MIT-IBM Watson AI Lab. AI and machine learning are already changing the way that businesses operate. In the financial services sector, the technology is being used in everything from customer service to credit decisioning to fighting fraud.

Earlier this year research from IHS Markit warned that banks piling into AI could spell tens of millions of job losses but the new IBM report suggests this is mistaken. The MIT-IBM Watson AI Lab used machine learning to analyse 170 million online job postings in the US between 2010 and 2017, finding that task are shifting between people and machines – but the change is slow.

The overall demand for tasks that make up occupations are down between 2010 and 2017. Across more than 18,500 tasks analysed, for each occupation, on average, workers were asked to perform 3.7 fewer tasks overall in 2017 than seven years earlier. However, as technology reduces the cost of some tasks, the value of the remaining tasks that make up an occupation increases. Tasks that are grounded in intellectual skill and insight as well as require, to some degree, physical flexibility, common sense, judgment, intuition, creativity, and spoken language have tended to increase in value.

2019-11-01 00:01:00 Read the full story…
Weighted Interest Score: 4.0295, Raw Interest Score: 1.9965,
Positive Sentiment: 0.1736, Negative Sentiment 0.2170

CloudQuant Thoughts : AI is not killing as many jobs as expected but there are certain industries where it looks likely to decimate the workforce. Trucking is one of the largest job categories in the United States and AI is very much a threat, initially it looks like it will take over the long haul and push the human drivers onto the final leg of delivery. Eventually there is no doubt that it will also take away the final mile with automated cars and drones.

The Implication of AI in Transforming the Job Landscape

Today, there are an end-number of job roles that didn’t exist in the job market a decade back. And, chances are that in future there will be many more careers that we cannot fathom today. Such is the nature of the landscape of work which is continuously being shaped by technological advancements. One such technology is AI, that promise to transform the entire axel of workplace.

On one side of the spectrum, there are people who are ready to herald in the opportunities that AI could create while at the other end there are people who are quite pessimistic about what it can unleash. In spite of this, there is a general consensus on the wide scope of artificial intelligence which extends from automation of routine tasks to making complex decisions rapidly. In other words, the debate is not so much about the potential of the technology itself; it is more about the role of the people who will work alongside it. Either way, all specialists agree that AI is going to affect changes in the workplace for long.

2019-10-31 10:25:09+00:00 Read the full story…
Weighted Interest Score: 3.9277, Raw Interest Score: 1.3886,
Positive Sentiment: 0.1644, Negative Sentiment 0.1462

CloudQuant Thoughts: “A study conducted by Capgemini that examined 1000 companies, found that AI systems created new jobs in  80% of the organization where it was implemented. Supporting this finding, a recent report by Gartner predicts that AI will create 500,000 more jobs than it will oust in the next three years”. Maybe it is not all bad news but there are a lot of low skilled jobs already falling by the wayside and trickle-up economics seem far more realistic that trickle-down.

Datameer Creates Data Science Platform for Hybrid Landscapes

Datameer, a provider of data preparation and exploration, is releasing Neebo, a new platform that enables analytics and data science teams to utilize information assets in hybrid landscapes.

Neebo’s self-service platform allows analytics professionals and data scientists to initiate projects in minutes and promptly answer analytics questions or build new models, thereby enabling greater business agility, according to the vendor.

Neebo uses virtualization and AI techniques to support a number of key capabilities. With Neebo, teams can:

  • Connect to analytics and data science assets and use them no matter where they reside
  • Find and explore these assets to help answer analytics questions
  • Combine assets to create new ones that are customized to solve the problem at hand
  • Publish assets that can be consumed by business intelligence and data science tools
  • Share and collaborate to re-use assets and build trust and knowledge across the enterprise

2019-10-30 00:00:00 Read the full story…
Weighted Interest Score: 4.4920, Raw Interest Score: 1.8895,
Positive Sentiment: 0.2496, Negative Sentiment 0.2496

dotData Secures New Funding to Deliver Automation to Data Science Processes

dotData has raised $23 million in Series A funding, bringing the total amount of funding raised to date to $43 million. The Series A financing round was led by JAFCO with participation by Goldman Sachs, which both join existing dotData seed-round investors NEC Corp.

dotData provides a platform that combines AI-powered feature engineering and AutoML to automate the full lifecycle of the data science process, from source data through feature engin…
2019-10-31 00:00:00 Read the full story…
Weighted Interest Score: 4.2767, Raw Interest Score: 2.2699,
Positive Sentiment: 0.1261, Negative Sentiment 0.0000

Before Strategizing, Conduct an AI Audit

Studies forecast that AI will boost profitability by an average of 38% by the year 2035. If an AI program interpreted this data, the result would be conclusive: Artificial intelligence is quickly becoming one of the economy’s sharpest competitive edges.

According to McKinsey & Company, just 47% of executives report embedding AI into one business process, and only 21% report implementing AI in multiple ways. While the technology is progressing at…
2019-10-29 00:00:00 Read the full story…
Weighted Interest Score: 4.0099, Raw Interest Score: 1.4672,
Positive Sentiment: 0.2121, Negative Sentiment 0.2121

Dotscience Offers Platform for Monitoring Machine Learning on Kubernetes

Dotscience is offering new platform advancements that make deploying and monitoring machine learning models on Kubernetes clusters simple and accessible to data scientists.

New Dotscience Deploy and Monitor features dramatically simplify the act of deploying ML models to Kubernetes and setting up monitoring dashboards for the deployed models with cloud-native tools Prometheus and Grafana.

Dotscience now also enables hybrid and multi-cloud scenarios where, for example, model training can happen…
2019-11-01 00:00:00 Read the full story…
Weighted Interest Score: 3.9866, Raw Interest Score: 2.1626,
Positive Sentiment: 0.2237, Negative Sentiment 0.0000

Sensors and Machine Learning: Glucose Monitoring with An AI Edge

tronic’s mission is to alleviate pain, restore health, and extend life through the application of biomedical engineering, explains Elaine Gee, PhD, Senior Principal Algorithm Engineer specializing in Artificial Intelligence at Medtronic. It’s a mission Gee is well equipped for. With over 15 years’ experience in modeling, bioinformatics, and engineering, she drives machine learning algorithm development and analytics to support next-generation medical devices for diabetes management.

On behalf of AI Trends, Ben Lakin, from Cambridge Innovation Institute, sat down with Gee to discuss her most recent focus: algorithm …
2019-10-31 21:30:48+00:00 Read the full story…
Weighted Interest Score: 3.9097, Raw Interest Score: 1.5180,
Positive Sentiment: 0.3455, Negative Sentiment 0.0523

New Robo “Cy-Borg” Launched By WBI Technologies

The WBI family of firms based in New Jersey, including WBI Technologies and WBI Investments, a provider of institutional, private client wealth management strategies and TAMP solutions, announced the launch of Cy, its own robo offering on Thursday.

“Cy,” which is literally short for “Cy-Borg” according to a prepared statement, represents a “revolutionary” digital wealth management TAMP platform, one that combines the human and automated.

On the…
2019-10-31 19:37:57+00:00 Read the full story…
Weighted Interest Score: 3.8726, Raw Interest Score: 2.1916,
Positive Sentiment: 0.2505, Negative Sentiment 0.0000

The State Of AI In Financial Services

A small number of multinational top-tier financial institutions are already among the most world’s most sophisticated users of enterprise-level artificial intelligence (AI). But while much has been written about the potential for AI to address business problems across the industry, adoption rates and the level of maturity vary widely.

The journey usually begins with data scientists pulling together data sets for experimentation and finding insights and ideas to suggest to innovation teams and business units. From there it often progresses to obvious use cases …
2019-10-30 00:00:00 Read the full story…
Weighted Interest Score: 3.6101, Raw Interest Score: 1.8064,
Positive Sentiment: 0.2890, Negative Sentiment 0.2890

CIBC Asset Management Inc Has $3.65 Million Stock Holdings in KLA-Tencor Corp (NASDAQ:KLAC)

CIBC Asset Management Inc cut its position in shares of KLA-Tencor Corp (NASDAQ:KLAC) by 2.8% during the 3rd quarter, according to its most recent filing with the Securities and Exchange Commission (SEC). The fund owned 22,880 shares of the semiconductor company’s stock after selling 667 shares during the period. CIBC Asset Management Inc’s holdings in KLA-Tencor were worth $3,648,000 at the end of the most recent quarter.

Other institutional in…
2019-11-04 00:00:00 Read the full story…
Weighted Interest Score: 3.6002, Raw Interest Score: 2.0698,
Positive Sentiment: 0.0383, Negative Sentiment 0.0575

AI can streamline the process and forecast production challenges

dlines about retail being in trouble – eCommerce is killing retail, malls are dying, people don’t want to go out anymore. Retail is using technology to fight back, and retail’s biggest ally so far is artificial intelligence. Between 2016 and 2018, retail use of AI grew by an astonishing 600%, and that’s just a drop in the bucket compared to what AI will be doing in the retail space in the coming years. Artificial intelligence in the supply chain targets inefficiencies and waste to streamline the process, delivering lower costs along the entire chain. AI can be used in production to forecast demands, scheduling, and …
2019-11-01 18:23:03+00:00 Read the full story…
Weighted Interest Score: 3.4970, Raw Interest Score: 1.5210,
Positive Sentiment: 0.1415, Negative Sentiment 0.2476

NEC’s AutoML Spinoff Takes Off

A data science spinoff from NEC Corp. has raised additional early stage funding to accelerate development of its automated machine learning platform.

DotData, San Mateo, Calif, was spun off from its Japanese parent company last year. The new company announced this week it raised $23 million in Series A funding 18 months after its launch and seed funding round. To date, DotData has raised $43 million.

The late…
2019-10-31 00:00:00 Read the full story…
Weighted Interest Score: 3.4265, Raw Interest Score: 2.2008,
Positive Sentiment: 0.0301, Negative Sentiment 0.0603

Data Summit 2020 Call for Speakers is OPEN

The call for speakers is open for the seventh annual Data Summit conference, to be held in at the Hyatt Regency in Boston, May 19-20, 2020, with pre-conference workshops on May 18.

Data Summit focuses on both the business and technical aspects of data management and analysis and how it is transforming the business world.

To submit a proposal, go to here. The deadline for submitting proposals is November 18, 2019.

The audience at Data Summit is…
2019-10-30 00:00:00 Read the full story…
Weighted Interest Score: 3.3845, Raw Interest Score: 1.9098,
Positive Sentiment: 0.3714, Negative Sentiment 0.1061

Fenergo Digital KYC Transforms Compliance in Fight Against Financial Crime

Transforming client experiences by replacing manual ad-hoc KYC processes

30th October 2019 – Fenergo, the leading provider of digital Client Lifecycle Management solutions (CLM) for financial institutions, today announces the product enhancement, Digital KYC, a real-time Know Your Customer (KYC) solution for financial institutions seeking to automate and perpetuate KYC compliance reviews.

The rules-driven Digital KYC solution delivers a risk-…
2019-10-30 00:00:00 Read the full story…
Weighted Interest Score: 3.2860, Raw Interest Score: 2.2569,
Positive Sentiment: 0.3622, Negative Sentiment 0.1393

Machine Data Intelligence Market Heats Up

The rise of connected devices and the flood of unstructured data they churn out is spurring the introduction of new machine data intelligence platforms designed to handle data frequency as well as sheer volume. Adding to the complexity is emerging IT infrastructure requiring monitoring as more tasks are automated.

Comes now the latest platform targeting the challenges presented by the Internet of Things (IoT) and hyper-scale infrastructure from …
2019-10-30 00:00:00 Read the full story…
Weighted Interest Score: 3.2362, Raw Interest Score: 2.0856,
Positive Sentiment: 0.0360, Negative Sentiment 0.1438

What’s Ahead in Big Data and Analytics


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

AI vs money laundering. Who wins?

With a million-wide customer base, banks have introduced automated transaction monitoring systems. Traditionally, they are based on a limited number of predefined money laundering detection scenarios, known as rules or conditions. If an account holder violates any of these rules, an alert is generated.

This is very imperfect. Firstly, the rule-based systems are usually based on patterns observed in historical cases. Thus, many banks can only det…
2019-11-01 00:00:00 Read the full story…
Weighted Interest Score: 3.0221, Raw Interest Score: 1.4234,
Positive Sentiment: 0.2259, Negative Sentiment 0.4067

Red Hat Brings Predictive Models to Business Automation Portfolio

A recent press release reports, “Red Hat, Inc., the world’s leading provider of open source solutions, today announced the latest release of Red Hat Process Automation, unveiling new applied artificial intelligence (AI) capabilities for predictive decision modeling, and support for the development of process- and decision-based business applications using micro-frontend architectures. Together with additional enhancements targeted at improving th…
2019-11-04 08:15:11+00:00 Read the full story…
Weighted Interest Score: 3.0022, Raw Interest Score: 1.9683,
Positive Sentiment: 0.4921, Negative Sentiment 0.0000

Okera Delivers Industry’s First Real-Time Actionable Insights into Data Lakes

According to a new press release, “Okera, a leading active data management platform that enables companies to discover, audit, and protect data at scale, today announced Okera Spotlight for Amazon Web Services (AWS) users, the first and only solution to provide full visibility with real-time and continuous audit of your Amazon Simple Storage Service (S3) data lake. Okera Spotlight applies tagging rules to automatically identify sensitive data and…
2019-11-01 07:15:07+00:00 Read the full story…
Weighted Interest Score: 2.8807, Raw Interest Score: 1.6018,
Positive Sentiment: 0.2288, Negative Sentiment 0.0915

Organisations are still struggling to progress past PoCs for AI

Many organisations get stuck at the proof of concept stage when they come up against the task of trying to change the way the enterprise operates to embrace AI, according to research from Gartner.

Speaking at the Gartner Symposium on the Gold Coast this week, Bern Elliot Vice President and Distinguished Analyst with Gartner Research, explained that AI projects are very different to traditional IT projects.

Gartner has five levels of AI maturity…
2019-10-31 12:51:31+11:00 Read the full story…
Weighted Interest Score: 2.8761, Raw Interest Score: 0.9855,
Positive Sentiment: 0.1609, Negative Sentiment 0.0603

Is AI just a giant waste of money?

The lab did the equivalent of 10,000 years of training on the robot hand, Dactyl, and used 30,000 CPU cores, but still ducked one difficult part of the challenge – identifying the state of the jumbled up cube – by packing the puzzle with Bluetooth sensors.

Even then, the results were poor.

At best the robot failed 80 per cent of the time. When the sensors were turned off, it reported a 0 per cent success rate.

OpenAI stands by the demo, saying…
2019-10-28 00:00:00 Read the full story…
Weighted Interest Score: 2.8120, Raw Interest Score: 1.4064,
Positive Sentiment: 0.2857, Negative Sentiment 0.4395

Incorporating artificial intelligence in email marketing

While email marketing is a great way of accelerating sales and generating revenues, it is artificial intelligence which is taking email marketing to new heights. In fact, it wouldn’t be wrong to say that artificial intelligence is the future of email marketing. Artificial intelligence, with its ability to utilize a given data through computer and carry out a particular function through trial and error is revolutionizing the way email marketing st…
2019-10-29 09:55:02+00:00 Read the full story…
Weighted Interest Score: 2.8064, Raw Interest Score: 1.3155,
Positive Sentiment: 0.3869, Negative Sentiment 0.2321

Ride the Data Governance 2.0 Wave

Companies were engaged in Data Governance practices such as Data Lineage and Data Quality for years before the concept of Data Governance emerged as a mainstream enterprise-level activity in 2005, said Kelle O’Neal, the founder and CEO of First San Francisco Partners, during her DATAVERSITY® Enterprise Data Governance Online event presentation titled Data Governance 2.0.

Driven by an awareness that survival meant that data should be at the heart…
2019-10-29 07:35:46+00:00 Read the full story…
Weighted Interest Score: 2.7011, Raw Interest Score: 1.7788,
Positive Sentiment: 0.2098, Negative Sentiment 0.1175

Comarch Launches AIM, a cross-sector artificial intelligence platform

Comarch is excited to introduce a first of its kind cross-sector artificial intelligence platform, Comarch Artificial Intelligence Management (AIM). Powered by the latest innovations in AI and machine learning (ML), Comarch AIM is the cross-industry, enterprise-ready, cloud-based solution that will change the way you do business – making your enterprise more efficient, cost-effective, and data-driven than ever before. With faster implementation and easier integration, AIM reduces the risks associated with transitioning to AI-driven processes with easy, configurable solutions that will grow with your bu…
2019-10-29 00:00:00 Read the full story…
Weighted Interest Score: 2.6411, Raw Interest Score: 1.4215,
Positive Sentiment: 0.6612, Negative Sentiment 0.1322

NVIDIA Takes Covers Off its EGX Edge Supercomputer

ess event in Los Angeles, graphics processing unit market leader NVIDIA unveiled its EGX Edge Supercomputing platform. The product is designed for all edge applications including, but not limited to, artificial intelligence and internet of things. This was the first time NVIDIA has been part of a Mobile World Congress, and the announcement of the EGX certainly warranted its presence at the event.

EGX Brings GPU Computing to the Edge

As is the case with most NVIDIA platforms, EGX is a reference design that other server manufacturers can use to roll out a validated design for edge computing use cases that include NV…
2019-11-01 00:00:00 Read the full story…
Weighted Interest Score: 2.6081, Raw Interest Score: 1.5652,
Positive Sentiment: 0.0870, Negative Sentiment 0.1304

Can Thought Vectors Deliver Human-Level Reasoning?

that may open the door to the sort of natural reasoning that has so far eluded AI.

One person who’s closely tracking the progress in natural language processing (NLP) is Hadayat Seddiqi, director of machine learning at legal tech company InCloudCounsel. Seddiqi foresees a day when AI will deliver semantic understanding of large amounts of written text via thought vectors.

We’re not quite there yet, however. According to Seddiqi, reaching an advanced level of semantic understanding in AI will require several key milestones.

The first milestones was the use of keywords for search engines. This was one of the…
2019-10-30 00:00:00 Read the full story…
Weighted Interest Score: 2.5967, Raw Interest Score: 1.2667,
Positive Sentiment: 0.1629, Negative Sentiment 0.0724

Modern Data Warehousing: Enterprise Must-Haves


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

Reservoir Computing & Its Significance In Machine Learning

Reservoir computing is an approach to make machine learning algorithms run faster. The word reservoir refers to a dynamical system.

A dynamical system is denoted by a mathematical function that describes how a point in space behaves with time. Having knowledge of these systems helps predict the future position of that point in space.

This reservoir consists of a bunch of recurrently connected units that are connected randomly.

In other words, res…
2019-11-01 04:30:00+00:00 Read the full story…
Weighted Interest Score: 2.5579, Raw Interest Score: 1.6191,
Positive Sentiment: 0.2175, Negative Sentiment 0.0483

Data Lake Modernization for Speed, Scale and Agility


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

Return of the Living Data

When Google published a paper on its proprietary BigQuery engine about nine years ago, the open source community reproduced the technology as best they could, just as they did with MapReduce and the Google File System, which eventually became Hadoop. But the data format that emerged from that effort, Apache Parquet, was not compatible with BigQuery or its ColumnIO data format. It was a dead end — until now.

Today, Google announced beta support i…
2019-10-31 00:00:00 Read the full story…
Weighted Interest Score: 2.4518, Raw Interest Score: 1.5412,
Positive Sentiment: 0.2277, Negative Sentiment 0.0701

BlizzCon fans will be able to battle DeepMind’s AI in StarCraft 2

Google’s DeepMind artificial intelligence program AlphaStar will battle attendees at BlizzCon 2019 in matches of the classic Blizzard real-time strategy game StarCraft 2.

In the Blizzard Arcade section of the fan event in Anaheim, California, Blizzard has set up machines for fans to play against the AI system.

This battle is likely to be fruitless for BlizzCon fans. The AI is reportedly better than 99.8% of StarCraft 2 players. A decad…
2019-11-01 00:00:00 Read the full story…
Weighted Interest Score: 2.4362, Raw Interest Score: 1.1027,
Positive Sentiment: 0.2322, Negative Sentiment 0.2322

How Low Conversion Data Seriously Hinders Machine Learning

Machine learning is changing the future of marketing in many beneficial ways. The Digital Marketing Institute reports that 97% of decision makers believe it is the future of marketing.

There are a number of tactics that marketers can pursue to optimize campaigns with machine learning algorithms. However, some of these strategies are more limited then marketers would like to think.

Big data technology has introduced a number of solutions for the…
2019-10-30 15:11:14+00:00 Read the full story…
Weighted Interest Score: 2.4270, Raw Interest Score: 1.3317,
Positive Sentiment: 0.2561, Negative Sentiment 0.1878

Why AI Technology For YouTube Marketers Is Viewed As A Godsend

marketers to identify trends, while others are finding even more brilliant AI applications.

A growing number of YouTube marketers are starting to use AI to get a higher ROI. What are the benefits of artificial intelligence in video marketing? How can tools that rely on machine learning get more leverage from your video marketing strategy? We provided some great examples below.

The Evolving Role of AI in Video Marketing

Keeping an active YouTube following is probably a lot harder than you can imagine. This is especially true since there are so many content creators on the platform. The saturation of video content …
2019-11-01 20:52:23+00:00 Read the full story…
Weighted Interest Score: 2.3917, Raw Interest Score: 0.9036,
Positive Sentiment: 0.3649, Negative Sentiment 0.1043

Data Management Best Practices for Machine Learning

Data Management Best Practices

for Machine Learning


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

The Challenges of Leveraging Big Data

Organizations from all over the world are gathering, analyzing, and evaluating huge data volumes from a large variety of sources, with the goal of increasing productivity and efficiency. Big Data Analytics is being used to stop credit card fraud, anticipate hardware failures, and reroute internet traffic to avoid congestion. Big Data technologies can improve network operations and this data can also provide an understanding of the organization’s “business” operations. Additionally, it can provide insights into user behavior and increase revenues. Many companies using Big Data explain it i…
2019-10-30 07:35:55+00:00 Read the full story…
Weighted Interest Score: 2.3730, Raw Interest Score: 1.4137,
Positive Sentiment: 0.1616, Negative Sentiment 0.4443

What’s Next For Robotics: In The Field, Inferencing On The Edge

By Allison Proffitt

Robots are a key application for AI and in addition to an excellent plenary talk by Julie Shah of MIT, a whole track was dedicated to AI in robotics applications. Dan Kara, VP of robotics and intelligent systems for WTWH Media, outlined some of the challenges in building robots—not chatbots, he clarified, but robots that act in the physical world. “It seems like every year it’s just around the corner,” he said, but this year …
2019-10-31 21:30:10+00:00 Read the full story…
Weighted Interest Score: 2.3104, Raw Interest Score: 1.7098,
Positive Sentiment: 0.1059, Negative Sentiment 0.1967

Best Practices For Version Control In Data Science Projects

For data-driven organisations today, collaboration in data science projects is key to staying ahead of the pack. However, version control in data science projects are not straightforward and need to be implemented with best practices for effortless collaboration.

Jupyter Notebook Under Version Control

Version control of data science projects on Jupyter Notebooks are tedious. That’s because changes in the code also alter the Jupyter Notebook structure which the…
2019-11-01 10:30:39+00:00 Read the full story…
Weighted Interest Score: 2.2299, Raw Interest Score: 1.2141,
Positive Sentiment: 0.2230, Negative Sentiment 0.2725

A new world for unicorns: What the WeWork flop means for Seattle’s top startups and IPO prospects

The latest highlights and hottest startups from the GeekWire 200 , our monthly ranking of Pacific Northwest tech companies. Click here for the full GeekWire 200 ranking .

WeWork’s dramatic fall from grace, which saw its valuation fall from $47 billion to a reported $8 billion amid an IPO fiasco, was just one example of a larger reckoning on newly public companies — and a wake-up call for those thinking about an IPO.

Uber and Lyft alone have see…
2019-10-31 16:04:27-07:00 Read the full story…
Weighted Interest Score: 2.2243, Raw Interest Score: 1.4950,
Positive Sentiment: 0.2136, Negative Sentiment 0.1068

Unlocking opportunities in the next frontier of IoT

We live in an increasingly connected world. I commute to work in a connected car, one that gets over-the-air updates with new experiences. I’m connected to my work and personal life in real time with my smartphone and laptop. And I work in a connected office, one that knows how to automatically save energy and ensure security. From the moment I woke up today, I was immersed in an IoT world.

And so were you.

We are surrounded by connected device…
2019-10-28 00:00:00 Read the full story…
Weighted Interest Score: 2.2143, Raw Interest Score: 1.7517,
Positive Sentiment: 0.3474, Negative Sentiment 0.0507

The Google-Facebook ad duopoly is facing a bigger challenge from the trio of Snap, Pinterest and Amazon

Evan Spiegel, CEO and co-founder of Snap Inc. Adam Galica | CNBC

Google and Facebook are still firmly in control of the online advertising market, but a group of challengers is eating into their dominance. With third-quarter earnings season is in the books, the trajectory is clear: Snap, Pinterest and Amazon’s ad businesses are growing faster than the industry giants, giving brands of all sizes more opportunities to diversify their marketing spe…
2019-11-02 00:00:00 Read the full story…
Weighted Interest Score: 2.1347, Raw Interest Score: 0.9981,
Positive Sentiment: 0.2495, Negative Sentiment 0.1109

‘Terminator’ is back! AI experts do a reality check on Hollywood’s new robo-nightmare

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.

He promised he’d be back — and 35 years after Arnold Schwarzenegger created what’s now a cliche for artificial intelligence gone wrong in the first “Terminator” movie, the cinematic nightmares about time-traveling killer robots have returned to the big screen.

“Terminator: Dark Fate” also marks the return of writer/producer James Cameron — who di…
2019-11-02 17:56:42-07:00 Read the full story…
Weighted Interest Score: 2.1312, Raw Interest Score: 0.8981,
Positive Sentiment: 0.0987, Negative Sentiment 0.1579

Multi-Party Privacy and AI Autonomous Cars

By Lance Eliot, the AI Trends Insider

You are at a bar and a friend of yours takes a selfie that includes you in the picture.

Turns out you’ve had a bit to drink and it’s not the most flattering of pictures.

In fact, you look totally plastered.

You are so hammered that you don’t even realize that your friend is taking the selfie and the next morning you don’t even remember there was a snapshot taken of the night’s efforts. About three days la…
2019-10-29 11:23:20+00:00 Read the full story…
Weighted Interest Score: 2.0609, Raw Interest Score: 0.6615,
Positive Sentiment: 0.0841, Negative Sentiment 0.2180

UBS Pilots Machine Learning in the Back Office

g to address,” Beatriz Martín Jiménez, investment bank COO and UK CEO at UBS, told Markets Media. “At UBS, we extensively use AI across the entire operating cycle.”

Advances in technologies, such as machine learning, have made it possible for the bank to reimagine services and process delivery in a holistic fashion, she added. “In the past, we may have focused on solving distinct problems for an immediate fix. While looking at the broader and more permanent solutions may be harder, it will set us up for long-term success.”

UBS has been working on proofs-of-concept and pilots within operations to process uns…
2019-10-28 20:12:55+00:00 Read the full story…
Weighted Interest Score: 2.0607, Raw Interest Score: 1.0886,
Positive Sentiment: 0.3003, Negative Sentiment 0.1877

Porsche’s future will be fuelled by data

Although a South African-born entrepreneur might be the most well-known maker of electric cars, another company has been at it for far longer. Ferdinand Porsche’s first car was all-electric and unveiled with a drive through the streets of Vienna. Now, over 120 years later, the car company he started is using data and analytics to create and optimise its latest creation, the all electric Porsche Taycan.

As the company moves from cars to what it c…
2019-10-28 05:00:50+11:00 Read the full story…
Weighted Interest Score: 2.0460, Raw Interest Score: 1.0700,
Positive Sentiment: 0.1628, Negative Sentiment 0.0698

Workforce Logiq Acquires ENGAGE Talent and Its AI-Driven Models for Discovering Talent

According to a recent press release, “Workforce Logiq, a global provider of workforce management software and services to large corporations, has acquired predictive analytics and AI software company ENGAGE Talent. The acquisition will equip Workforce Logiq customers with proprietary benchmarks and real-time intelligence to find, engage, hire, and retain the top candidates in the market faster and more affordably than ever before. ‘Employers want…
2019-11-04 08:10:21+00:00 Read the full story…
Weighted Interest Score: 2.0433, Raw Interest Score: 1.3622,
Positive Sentiment: 0.4334, Negative Sentiment 0.0000

Scala Gets Its Notebook with Netflix’s Polynote

Data scientists who work in Scala will be interested to know that Netflix has created its own data science notebook that features first-class support for the Java-based language. Called Polynote, it was released as open source last week.

Polynote, as the name suggests, is a polyglot product, and as such supports multiple languages, including Scala, Python, and SQL. Developers can write code in any of these languages and Polynote will execute it faithfully across its cells.

Netflix engineers created …
2019-10-29 00:00:00 Read the full story…
Weighted Interest Score: 2.0066, Raw Interest Score: 1.2829,
Positive Sentiment: 0.0000, Negative Sentiment 0.1316

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