You don't have to be a Go champion to have artificial intelligence change your game. You get in your car, and your Apple iPhone tells you what traffic looks like where you're going--before you ask. We're all on the road with Tesla's self-driving cars, which are redefining what driving means. The artificial intelligence calendar assistant Amy emails three of your friends to figure out a meeting time that works for everyone--and nails it. Thankfully, chatting with Amazon's Alexa is a lot more entertaining than, say, would be Hal, the fictional artificial intelligence from the film 2001: A Space Odyssey.

You don't have to be a Go champion to have artificial intelligence change your game. You get in your car and your Apple iPhone tells you what traffic looks like where you're going--before you ask. We're all on the road with Tesla's self-driving cars, which are redefining what driving means. The artificial-intelligence, calendar-assistant "Amy" emails three of your friends to figure out a meeting time that works for everyone--and nails it. Thankfully, chatting with Amazon's Alexa is a lot more entertaining than, say, chatting would be with Hal, the fictional artificial intelligence from the film 2001: A Space Odyssey.

SAN JOSE, CA--(Marketwired - Feb 1, 2017) - Skytree, the 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. Skytree Smart Search continues to deliver industry-leading automation for finding the most accurate models. This is accomplished in much fewer iterations than brute-force grid searches, by performing a mathematically optimal exploration of the hyper-parameter space. Skytree Smart Search delivers highly tuned models with comprehensive cross-validation in every step, and delivers reliable execution with automatic resource estimation for the powerful Skytree distributed algorithm implementations that are highly optimized for scale, performance and accuracy.

You don't have to be a Go champion to have artificial intelligence change your game. You get in your car, and your Apple iPhone tells you what traffic looks like where you're going--before you ask. We're all on the road with Tesla's self-driving cars, which are redefining what driving means. The artificial intelligence calendar assistant Amy emails three of your friends to figure out a meeting time that works for everyone--and nails it. Thankfully, chatting with Amazon's Alexa is a lot more entertaining than, say, would be Hal, the fictional artificial intelligence from the film 2001: A Space Odyssey.

Government agencies are tasked with the challenge of providing citizens with more efficient, effective, and transparent services with strict and often decreasing budgets. Government agencies can use machine learning to increase operational efficiencies by analyzing datasets, finding patterns and anomalies, and making predictions about future events. Skytree's state-of-the art machine learning software can analyze both structured and unstructured data sets in real-time to produce fast, accurate and scalable results that are up to 10,000 times faster than previous approaches. Skytree comes with a breadth of advanced machine learning methods that utilize the research available to you to make predictions with the highest accuracy available, far surpassing what's possible with basic analytics. Detect and prevent fraudulent transactions, accounts and vendors.

As machine learning products continue to target the enterprise, they are diverging into two channels: those that are becoming increasingly meta in order to use machine learning itself to improve machine learning predictive capacity; and those that focus on becoming more granular by addressing specific problems facing specific verticals. And while the latest batch of machine learning products across both these channels may reduce some pain points for data science in the business environment, experts warn that machine learning can't solve two issues regardless of the predictive capacity of the new tools: Last year, new machine learning market entrants focused on speeding up processes around mapping the context that a machine learning algorithm would need to understand in order to predict needs in a given business situation. For example, if a voice translation machine learning product was listening in to a customer service call in order to more quickly help the call operator surface the appropriate solution-based content, the first job of the machine learning product would be to create an ontology that understands the customer call context: things like product codes, industry-specific language, brand items and other niche vocabulary. Products like MindMeld and MonkeyLearn built automatic ontology-creators so the resulting machine learning algorithm had a higher degree of accuracy without the end user first having to enter a whole heap of business-specific data into the product to make it work. Others, like Lingo24, created their own specific vertically-based machine learning engines for industries like banking and IT so that their machine learning translation service could apply the right phrase model to the right situation.

At the end of March, I had the good fortune of visiting the Silicon Valley to attend Strata Hadoop World 2016. As it was my first visit to the Silicon Valley, I made pilgrimages to more than a dozen technology companies. At the Strata conference, I made it a priority to engage in exchanges with machine learning and artificial intelligence technology companies. Two things from this trip left the deepest impressions on me: 1. I realized that start-up companies are the main driving force behind the flourishing field of data science tools.

Skytree – The Machine Learning Company is disrupting the Advanced Analytics market with our enterprise-grade machine-learning platform that gives organizations the power to discover deep analytic insights, predict future trends, make recommendations and reveal untapped markets and customers. Skytree's mission is to bring the power of state-of-the-art machine learning to everyone: including data scientists, developers and non-experts alike. The Skytree machine-learning platform is built for speed and scalability, allowing users to build the most accurate machine-learning models, faster. Skytree machine-learning software delivers an end-to-end model building experience, from data preparation to model creation and deployment. Skytree automates the machine learning model-building process, saving you time.

You don't have to be a Go champion to have artificial intelligence change your game. You get in your car, and your Apple iPhone tells you what traffic looks like where you're going--before you ask. We're all on the road with Tesla's self-driving cars, which are redefining what driving means. The artificial intelligence calendar assistant Amy emails three of your friends to figure out a meeting time that works for everyone--and nails it. Thankfully, chatting with Amazon's Alexa is a lot more entertaining than, say, would be Hal, the fictional artificial intelligence from the film 2001: A Space Odyssey.

You don't have to be a Go champion to have artificial intelligence change your game. You get in your car, and your Apple iPhone tells what traffic looks like where you're going--before you ask. We're all on the road with Tesla's self-driving cars, which are redefining what "driving" means. The artificial intelligence calendar assistant Amy emails three of your friends to figure out a meeting time that works for everyone--and nails it. Thankfully, chatting with Amazon's Alexa is a lot more entertaining than, say, with Hal, the fictional artificial intelligence from the film 2001: A Space Odyssey.