Posts Tagged ‘Machine Learning’
StepOne’s first product, Contextual Care, is a contextually-based recommendation engine designed to help a company’s customers service themselves online. It leads them to the information they need in realtime based on factors such as applying what a company knows about a customer to predicting the question he might ask; matching content to the question based on machine learning algorithms; and getting smarter about doing that by continuously learning through customer interactions.
It became clear to StepOne as it deployed this product with its clients that in many cases, the clients first needed to have a higher definition view of their self-service content to make the best calls for their customers. Now, it’s debuting Care Profiler, a diagnostic tool to help clients assess the quality of their self-service support libraries and boost them to better address customer issues.
The Cornell Chronicle reports that “AOL, the Jacobs Technion-Cornell Institute at Cornell Tech and New York City officials have announced the creation of the Connected Experiences Laboratory, or ConnX, aimed at exploring new technologies at the forefront of the digital age. Announced Nov. 12, an AOL gift will fund a four-year partnership between New York City-based AOL and Cornell Tech. The collaboration will extend to the Technion – Israel Institute of Technology, Cornell’s partner in the Jacobs Institute, with part of the gift supporting activities at the Technion in coordination with AOL Israel.” Read more
PALO ALTO, Calif.–(BUSINESS WIRE)–Eversight™, the leading provider of software designed to improve promotion effectiveness and make better use of trade promotion dollars, announces Eversight for Consumer Goods™, a cloud-based Offer Innovation solution that enables retailers and consumer goods manufacturers to try out thousands of different promotions with real shoppers on digital platforms. Micro-testing provides insights useful for informing the traditional in-store promotional calendar, which represents more than $300B in spending in the U.S. annually. Multiple top consumer goods manufacturers, including Unilever and BIC, currently use the solution.
Built on the Eversight Cloud platform, Eversight for Consumer Goods leverages recent advances in predictive analytics, machine learning, and data science to enable manufacturers to optimize in-store promotions by real-world-testing hundreds or thousands of different promotional offers. Read more
Jordan Novet of Venture Beat recently wrote, “Maybe you’ve been holding off on using Microsoft recently announced Azure Machine Learning service for building models to incorporate into applications. Maybe you don’t want to pay money for that sort of service. If that’s the case, you’ll welcome a recent development coming out of the PASS Summit in Seattle. Microsoft executives on the scene there announced that the company is opening up Azure Machine Learning to free access. That means you don’t need to plug in your credit card information if you want to try it.” Read more
Nov 5, 2014 8:30 a.m. ET — Sprylogics International Corp. (“Sprylogics” or the “Company”) (SPY), a technology provider of local mobile search, semantic search and messaging solutions for consumers and businesses is pleased to announce that it has developed a new app, “Breaking Sports.”
Breaking Sports tracks social media in real-time for significant sports information and events and distributes summarized information through real-time push notifications to consumers. By utilizing advanced artificial intelligence techniques, Breaking Sports can detect events as they happen and as they are announced in social media, determine nature of the events, attribute events to participants, summarize source articles, index the underlying information, provide search of events and articles and send alerts to fantasy players, sport fans and enthusiasts. Read more
Bastiaan Janmaat of DataFox recently wrote for VentureBeat, “Prior to starting DataFox, two of our founders worked in the investment banking industry; one of us in mergers and acquisitions, the other in growth equity… Throughout the day, I read a total of 10-30 newsletters, updates, and alerts. I spent a total of two to three hours consuming and syndicating just a few key insights. If visiting the library for research is laughably inefficient nowadays, consuming corporate information the way I did was almost as ridiculous.”
He continues, “Fortunately, technologists are working to solve this problem. Innovative companies are leveraging artificial intelligence (including natural language processing and supervised machine learning) to collect information from disparate sources, organize that information, and disseminate it to the right people at the right time. Read more
What could be scarier than a haunted house on Halloween, packed with ghouls, axe murderers and the standard array of blood and guts?
Well, maybe the real fright night lies with technology. Consider the following scares that might just send Michael Myers himself into a terror tizzy:
- Artificial intelligence. Tesla, Paypal and SpaceX founder Elon Musk, as reported in this article in Mashable, recently told an audience at MIT’s Centennial Symposium that, “With artificial intelligence, we are summoning the demon.” Musk said to attendees that he probably ranks AI as our biggest existential threat, commenting that, “In all those stories where there’s the guy with the pentagram and the holy water, it’s like, ‘Yeah, he’s sure he can control the demon.’ Doesn’t work out.”
Josiah Motley recently wrote, “Big data is big money, and a relative new-comer to the game is trying to make a big impact. 0xdata (pronounced hexadata), started by SriSatish Ambati, is that new-comer. Their current flagship product, simply titled H20, is an open source platform used to crunch huge amounts of data to more accurately display analytic results. It is able to compute these large data sets by combining machine learning with advanced mathematical algorithms. H20 allows for customers to their entire data sets, instead of sample sets which are traditionally used for such processes. We recently had a chance to talk with SriSatish Ammbati, CEO and co-founder of 0xdata to help shed more light on their product.” Read more
Jeffrey Schwartz of Redmond Magazine recently wrote, “Nearly a year after launching its Hadoop-based Azure HDInsight cloud analytics service, Microsoft believes it’s a better and broader solution for real-time analytics and predictive analysis than IBM’s widely touted Watson. Big Blue this year has begun commercializing its Watson technology, made famous in 2011 when it came out of the research labs to appear and win on the television game show Jeopardy. Both companies had a large presence at this year’s Strata + Hadoop World Conference in New York, attended by 5,000 Big Data geeks. At the Microsoft booth, Eron Kelly, general manager for SQL Server product marketing, highlighted some key improvements to Microsoft’s overall Big Data portfolio since last year’s release of Azure HDInsight including SQL Server 2014 with support for in-memory processing, PowerBI and the launch in June of Azure Machine Learning.” Read more
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