IBM announced IBM Machine Learning, the first cognitive platform for continuously creating, training and deploying a high volume of analytic models in the private cloud at the source of vast corporate data stores. Even using the most advanced techniques, data scientists – in shortest supply among today’s IT skills* – might spend days or weeks […]
Logtrust™, the Real-time Big Data-in-Motion as-a-Service firm for Fast Data, Big Data analytics, announced its Real-time Integrated Threat Analytics Solution Program. The program enables companies to build solutions that analyze the historical behavior of systems and attackers in order to detect, understand and eliminate potential threats in real-time–even those that are coming from multiple sources, across multiple devices.
ExtraHop, the leader in real-time IT analytics, today announced ExtraHop Addy, the industry’s first cloud service that applies machine learning to the richest source of IT data—wire data—to provide real-time situational insight for IT teams. ExtraHop Addy is always-on, serving as the eyes and ears for IT and helping them take a proactive, data-driven approach to supporting and securing the digital experience.
In this special guest feature, Michael Liberty, COO and co-founder of Signifyd, argues that an overabundance of data scientists is slowing the growth of machine learning. What’s needed is a better balance of data scientists and engineers who can produce machine learning insights at industrial scale.
In this contributed article, Jason Miller, Industrial Applications Engineer at Alpine Data discusses the new PFA standard that takes a good step forward from the previous PMML standard. A shift to PFA has the potential to be a watershed event in predictive analytics.
Skytree Patented Automation Gets Smarter and Enables Us to Deliver Machine Learning as a Service with the Release of Skytree 16.0
Skytree, a leader in enterprise machine learning on big data, announces the release of Skytree 16.0 and Skytree’s Machine Learning as a Service offering. We continue our trend of increasing ease of use via unprecedented automation, further enabling non-data scientist users to access the power of enterprise grade machine learning, gain insights, and to add value to their business.
Nimbix, a leading provider of high performance and cloud supercomputing services, announced its new combined product strategy for enterprise computing, end users and developers. This new strategy will focus on three key capabilities – JARVICE™ Compute for high performance processing, including Machine Learning, AI and HPC workloads; PushToCompute™ for application developers creating and monetizing high performance workflows; and MaterialCompute™, a brand new intuitive user interface, featuring the industry’s largest high performance application marketplace available from a cloud provider.
In this special guest feature, Jay Patani is a Tech Evangelist for ITRS Group, examines how online gambling and gaming companies have access to a wealth of big data created by every click of a customer’s mouse. The key to extracting valuable predictive insights from that data will be sophisticated machine learning.
Infosys (NYSE: INFY), a global leader in consulting, technology, and next-generation services, released multinational research findings on artificial intelligence (AI) business impact, market maturity and expectations. The research report, Amplifying Human Potential: Towards Purposeful Artificial Intelligence, polled 1,600 senior business decision makers at large organizations across the world. The report revealed a clear link between […]
Booz Allen & Kaggle Convene Data Scientists, Medical Community to Improve Cancer Screening using Artificial Intelligence through $1 Million Competition
Two out of every five people in the U.S. will be diagnosed with cancer during their lifetimes, according to the National Cancer Institute (NCI). The same technology behind improved voice assistants and credit card fraud detection—artificial intelligence—can help improve cancer screening and save lives. Booz Allen Hamilton (NYSE: BAH) and Kaggle announced that the third annual Data Science Bowl will inspire data scientists and medical communities around the world to use artificial intelligence to improve lung cancer screening technology.