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Omnity Research Platform Announces Customizable Search and Discovery Engine

Omnity, the next-gen semantic search and discovery platform for knowledge workers, announced it is opening its proprietary artificial intelligence technology to enterprise customers to allow them to organize Omnity’s powerful search tools around their own customized classification systems. Using this new feature — called Dynamic Data Shuffle™ — large corporations and organizations can fully customize the content that they deem most relevant to their search queries.

How Breakthrough Innovations at Experian’s DataLabs Expand the Horizons of Doing Good Things with Data

In this contributed article, Eric Haller, Executive Vice President at Experian DataLabs describes how his company uses large data sets coupled with data science methodologies to solve strategic marketing and risk-management problems with an emphasis on financial services, telecommunications and healthcare.

Driving Engagement and Revenue with Segmentation in the Digital World

In this special guest feature, Patrick Smith, Manager of Data Science Services at Mather Economics, discusses the value of the ability to attach digital advertising revenue to the online activity at a customer level to show what content creates the highest revenue stream. It’s this knowledge that can (and has), in turn, help publishers create successful, more profitable business strategies.

IBM Unleashes the Power of Machine Learning with Watson-enabled Data Platform

IBM (NYSE:IBM) announced IBM Watson Data Platform to help companies gain more valuable insights from data. The platform delivers the world’s fastest data ingestion engine and cognitive-powered decision-making to data professionals, allowing them to collaborate in the IBM Cloud, with the services they prefer. IBM is also making IBM Watson Machine Learning Service available – making machine learning simple with an intuitive, self-service interface.

The Math Behind Basketball’s Wildest Moves

If basketball is of more interest to you than business intelligence, you’ll like this TED talk by Rajiv Maheswaran. If you want pithy examples of what algorithms and machine learning are, you’ll like Maheswaran’s talk even more. Algorithms are necessary to the functioning of any BI software, and machine learning has been called “the new BI.” Googling those terms is useful, but a little dull.

Baidu Opens Up Access to its Speech Technologies with Launch of Free APIs

Baidu, Inc. (NASDAQ: BIDU), China’s leading search engine, announced it is making available Chinese language APIs for its four key speech technologies: Long Utterance Speech Recognition, Far-Field Speech Recognition, Expressive Speech Synthesis and Wake Word. The announcement coincides with the three-year anniversary of Baidu’s speech API launch. The speech APIs are the latest in a series of AI-based technologies Baidu has released publicly, these include facial recognition, optical character recognition, natural language processing and others.

The “SP” System Beats AI Alternatives

The SP theory of intelligence has advantages over several AI-related alternatives according to a new paper by Dr Gerry Wolff of CognitionResearch.org. The SP theory, which has been under development for several years, is realized in the form of a computer model.

Pikazo: Deep Neural Network Art on Intel Architecture

In this video from the Intel HPC Developer Conference, Noah Rosenberg and Karl Stiefvater from Pikazo describe the company’s innovative Pikazo App for smartphones. “Pikazo was developed in 2015 using neural style transfer algorithms. It is a collaboration between human, machine, and our concept of art. It is a universal art machine that paints any image in the style of any other, producing sometimes-beautiful, sometimes-disturbing, always-surprising artworks. Pikazo allows novice artists to create impressive imagery via a technique known as neural style transfer.”

Using Machine Learning at Scale

In this special guest feature, Peter Cnudde, VP of Engineering at Yahoo, provides a bird’s eye view for the many ways that Yahoo is using machine learning at scale.

“Software as a Service” to “Service as a Software:” Changing Paradigms in Analytics and Decision Sciences

In this special guest feature, Deepinder Dhingra, Apprentice Leader at Mu Sigma, Inc., identifies a new paradigm in decision science: Service as Software. This concept is driven by the irrational, yet popular notion that one day, machines will take over the jobs of humans.