Skills for Data Science and Machine Learning: The Video

Here we look at the skills and employment opportunities that are surfacing as we move into an era of advanced analytics and ubiquitous AI.

The videos are a mixture of seminars and discussions avaialable under standard YouTube license, with landing page descriptions added. Minor edits have been made where necessary.

What Kaggle has Learned from Almost a Million Data Scientists (O’Reilly

Published on May 25, 2017

A talk by Anthony Goldbloom from Kaggle.  Kaggle is a community of almost a million data scientists, who have built more than two million machine-learning models while participating in Kaggle competitions. Data scientists come to Kaggle to learn, collaborate, and develop the state of the art in machine learning. Anthony Goldbloom shares lessons learned from top performers in the Kaggle community and explores the types of machine-learning techniques typically used, some of the tricks he’s seen, and pitfalls to avoid. Along the way, Anthony discusses work habits and skills that help data scientists succeed.

Andrew Ng: Artificial Intelligence is the New Electricity (Stanford Graduate School of Business)

Published on Feb 2, 2017

On Wednesday, January 25, 2017, Baidu chief scientist, Coursera co-founder, and Stanford adjunct professor Andrew Ng spoke at the Stanford MSx Future Forum. The Future Forum is a discussion series that explores the trends that are changing the future. During his talk, Professor Ng discussed how artificial intelligence (AI) is transforming industry after industry.

What Are the Top Skills Needed to Be a Data Scientist? (SAS Software)

Published on Oct 26, 2015

Dr. Goutam Chakraborty of Oklahoma State University outlines the top skills you need to be successful as a data scientist. From SAS Academy for Data Science

Top Data Scientist D J Patil’s Tips to Build a Career in Data (FactorDaily)

Published on Jul 20, 2017

D J Patil, who along with top data scientist Jeff Hammerbacher coined the term “data scientist” tells you what it takes to be a data scientist During the Obama administration, Patil became the first ever chief data scientist to be appointed by the US government.


 

 

 


IBM and ABB Collaborate to Boost Industry 4.0

Swiss-based engineering giant Asea Brown Boveri (ABB) and IBM have just announced a strategic collaboration that brings together ABB’s industry leading digital sensor and control offering, ABB Ability, with IBM Watson AI-based IoT system to provide a more comprehensive intelligent solution fir control and defect monitoring issues in utilities, industry and transport & infrastructure.

IBM Watson has been moving gradually into a range of new territories as applications for its cognitive capabilities are being explored. This move brings both companies closer to “Industry 4.0” where competition includes not only software companies, but also manufacturing firms such as GE.

The IBM/ABB solution is aimed at varying goals such as improving quality control, reducing downtime and increasing speed and yield of industrial processes by enabling current sensor and data gathering systems to become “cognitive” by using collected data to understand and take actions. ABB brings a deep domain knowledge and extensive portfolio of digital solutions to the mix, which is combined with IBM’s AI capabilities and vertical industry applications. The first two joint industry solutions will bring real-time cognitive insights to finding defects on the factory floor, and optimize maintenance of smart grids.

According to ABB CEO Ulrich Spiesshofe:

“This powerful combination marks truly the next level of industrial technology, moving beyond current connected systems that simply gather data, to industrial operations and machines that use data to sense, analyze, optimize and take actions that drive greater uptime, speed and yield for industrial customers. With an installed base of 70 million connected devices, 70,000 digital control systems and 6,000 enterprise software solutions, ABB is a trusted leader in the industrial space, and has a four decade long history of creating digital solutions for customers. IBM is a leader in artificial intelligence and cognitive computing. Together, IBM and ABB will create powerful solutions for customers to benefit from the Fourth Industrial Revolution.”

Part of ABBs business strategy is collaboration with other vendors, which includes partnering with IBM, Microsoft, and Wipro, among others in delivery of its digital solutions. Prior to the IBM deal, ABB has been using predictive and prescriptive analytics, plus customized models based extensive industry expertise, to identify and prioritize emerging maintenance needs based on probability of failure and asset criticality.

For IBM, this the collaboration aids in bringing Watson deeper into the crucial Industry 4.0 space, a key area for technological progress in IoT and AI. According to IBM CEO, Ginni Rometty:

“This important collaboration with ABB will take Watson even deeper into industrial applications — from manufacturing, to utilities, to transportation and more. The data generated from industrial companies’ products, facilities and systems holds the promise of exponential advances in innovation, efficiency and safety. Only with Watson’s broad cognitive capabilities and our platform’s unique support for industries can this vast new resource be turned into value, with trust. We are eager to work in partnership with ABB on this new industrial era.”

We can expect an onslaught of collaborations, mergers and acquisitions, and talent wars across this valuable sector as major industrial and IT forces join in the fray.


 


Boeing’s SHARC Attack: Acquiring Liquid Robotics to Pursue the Digital Ocean

Boeing is acquiring Liquid Robotics, developer of the Wave Glider autonomous ocean surface robot, strengthening pursuit of the Digital Ocean. The Digital Ocean concept seeks to bring extensive monitoring and surveillance capabilities to largely unobserved ocean spaces through use of unmanned vehicles and advanced sensors. Possibilities include a range of environmental, commercial, and defense missions that could be supported by AI, big data, and autonomous operation in a largely untapped sphere of operations.

The acquisition follows on from a successful teaming agreement begun in 2014, resulting in extensive integration of Boeing’s advanced sensors with the Sensor Hosting Autonomous Remote Craft (SHARC), a version of the Wave Glider. The SHARC is designed to connect intelligence, surveillance and reconnaissance capabilities ranging from satellites to manned and unmanned aircraft to sub-surface craft. The Wave Glider is a wave and solar-powered autonomous ocean vehicle developed in 2007 and now with more than one million nautical miles traveled.

The 2014 agreement with Boeing focused initially on developing total integrated solutions for anti-submarine warfare, maritime domain awareness and other maritime defense applications. The agreement combined Boeing Defense, Space & Security’s experience developing and fielding multi-layered intelligence, surveillance and reconnaissance solutions with Liquid Robotics’ autonomous ocean technology.

At that time, Gary Gysin, President and CEO of Liquid Robotics said “We look forward to teaming with Boeing to expand domestic and international opportunities that combine Boeing’s expertise in aircraft systems and integrated defense solutions with Liquid Robotics’ expertise in persistent unmanned ocean vehicles. Together, Boeing and Liquid Robotics will provide customers an integrated, seafloor-to-space capability for long duration maritime defense.”

The Boeing acquisition is likely to further the Defense capabilities of the Liquid Robotics platform. While Liquid Robotics has other missions as an ocean drone manufacturer with a goal of instrumenting the ocean, its military applications, such as ability to detect submarines and other marine threats, have been highlighted recently and are likely to be driving the acquisition.

Just a few months ago Liquid Robotics and Boeing demonstrated their autonomous maritime warfare capabilities at the British Royal Navy’s Unmanned Warrior Demonstration, “Together, Liquid Robotics and Boeing achieved a groundbreaking milestone in unmanned maritime warfare,” said Gysin. “We proved that SHARCs can augment the tedious and dangerous task of continuous maritime surveillance by our war fighters and provide critical real-time intelligence to commanders.”


Envestnet Buys Wheelhouse Analytics: Harbinger of What’s to Come?

Financial technology firm Envestnet has just acquired Wheelhouse Analytics after purchasing another data firm called Yodlee. While ordinarily, purchase of a niche market analytics firm is not greatly of note, particularly when it is in a relatively small pool of services for investment companies, there are elements of this purchase that provide some food for thought.

Envestnet’s business is to provide wealth management technology and services for investment advisers. It is concerned with a wide range of issues such as portfolio management and wealth optimization options for large investors. It’s clients are investment managers who then use these services to help their clients to achieve better financial outcomes. Wheelhouse Analytics has already been associated with Envestnet for several years, providing contributory services. Wheelhouse is about fee and performance benchmarking, supporting fee rationalization and other services that enable investment managers to use sophisticated analytics to mold their product offerings to the best fit for investment clients.

According to Frank Coates, CEO of Wheelhouse Analytics:

“Combining Wheelhouse capabilities with Envestnet’s Vantage enterprise data management solution, we can deliver the industry’s most comprehensive oversight and surveillance tool to support compliance with the DOL Fiduciary Rule. We also look forward to continuing to invest in enhancing and expanding our current set of solutions.”

One of the critical features is to provide investment managers with services that they could not easily perform for themselves or could not handle cost-effectively. Within this market, a key issue is the growing oversight and regulation from the Department of Labor (DOL). The DOL’s Fiduciary Rule requires financial operators such as brokers and investment salespeople to be able to show that they are suggesting accounts and options that are actually good for clients rather than simply of benefit to the seller. This makes analysis of different investment outcomes extremely valuable. It is another example of how regulation, in general, is likely to impact the advance toward big data analytics.

Regulations can have complex impacts across the firm, some of which cannot easily be extrapolated by simple methods. Increasingly, analytics makes it possible to determine the best means of compliance across a range of possible options.

The other point of interest is increasing provision of smart services for professionals, and its impact upon the services industries. In this case, an analytics solution within the investment community makes it increasingly easy for individual players and freelancers to take on established large corporate competition. Investment salesmen who have relied upon the deal making strategies of their corporate parent could now become independent and rely upon the intelligent assistance of external service providers. Such professional services support will make it increasingly attractive to cut ties with larger firms supported by a new technologies with little of the overhead that prevails in slower moving professional corporate organizations.

While the Wheelhouse acquisition is a small thing in itself, it is reflective of greater changes that may have a significant impact in the workplace and in M&A deals in the years to come.


Analytics of Who You Are: The Video

It’s time to take a look at analytics and identity. There has been a lot of progress in understanding the social media firehose of customer data, and this is becoming a crucial province of AI and advanced analytics. At the same time, understanding and verifying identity is a key component of security , and of human resources.

We recently discussed Location Analytics videos in Analytics of Where You Are: The Video. Good video and animation can make complex ideas easier to understand and to remember. There have been a lot of very significant advances in identity analytics recently, and clarification seems like a pretty good idea.

We’ve assembled a set of four videos that were mainly produced as advertising, but still offer an engaging visual exploration of the subject.

Note that we are not endorsing these companies or their methods; we just like their videos! Feel free to comment or suggest analytics videos that make a compelling case or provide an appealing representation of the technology.

IBM Customer Experience

SAP Hybris Cloud (from BaselinerTV)

LexisNexis Identity Management

Neustar Customer Identity Verification & Marketing Analytics


Analytics of Where You Are: The Video

Location Analytics continues to grow in importance as technologies such as machine learning and mobile sensing converge and new use cases are discovered. Advertising, ecommerce, and performance management uses have been proliferating, and they are now being joined by security, location-based restriction, and an increasing range of possibilities in robotics and the IoT.

Location analytics is important, whether it is on the macro geolocation level or at the micro internal level of process control. As with robotics, there are some great visual stories that encapsulate the possibilities; but they exist in a cloud of Powerpoints. Understanding the importance of location is a decidedly visual thing.

We’ve assembled a set of four videos intended as advertising that provide a good visual exploration of the subject. As with some of the finer robotics issues, you really have to see it to believe it! Compelling video helps you to visually identify concepts and place them in a context of everyday life.

Note that we are not endorsing these companies or their methods; we just like their videos! Feel free to comment or suggest analytics videos that make a compelling case or provide an appealing representation of the technology.

Proximus Analytics

QlikMaps

SweetIQ Analytics

ESRI Location Analytics