The insideBIGDATA Guide to Deep Learning & Artificial Intelligence is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting area of technology. This is the fourth in a series of articles providing content extracted from the guide. The topic for this segment is the results of the recent “insideHPC insideBIGDATA AI/Deep Learning Survey 2016” underwritten by NVIDIA.
In this special guest feature, Sarah Lahav of SysAid Technologies takes a look at machine learning and how it provides a vehicle for “fireproofing” in IT service management – anticipating and preventing problems rather than waiting for them.
I recently caught up with Paulo Sampaio, Data Scientist at EDITED, to talk about applying machine learning, neural networks, natural language processing, and big data analytics to the retail industry. Paulo and his team are applying neural networks, machine learning and other models to analyze over 520 million products in real-time across 42 countries to make gradual distinctions in clothing styles, sizes and categories.
In this contributed article, Smita Adhikary, Managing Consultant at Big Data Analytics Hires, provides a whirlwind overview of machine learning technology and why it’s important to increasing the value of enterprise data assets.
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.