Data science pioneer DataRobot announced the latest version of their enterprise machine learning platform. The new release integrates the powerful TensorFlow™ library for deep learning along with new tools to help users extract insights from all models on the platform. The release also updates DataRobot Prime, a premium add-on that allows users to export scoring code and operationalize models in any environment.
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.
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 (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.
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, 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 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.
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.”