Martin Hack of Wired recently wrote, “When Amazon recommends a book you would like, Google predicts that you should leave now to get to your meeting on time, and Pandora magically creates your ideal playlist, these are examples of machine learning over a Big Data stream. With Big Data projected to drive enterprise IT spending to $242 Billion according to Gartner, Big Data is here to stay, and as a result, more businesses of every size are getting into the game. To many enterprise organizations Big Data represents a strategic asset — it reflects the aggregate experience of the organization. Each customer, partner, or supplier response or non-response, transaction, defection, credit default, and complaint provides the enterprise the experience from which to learn.” Read more
Last week, David Amerland of Forbes wrote, “At the heart of the semantic Web is connectivity. The key is the ability of one set of data to be connected to a different set of data—with fresh meaning arising from the connection. If that sounds like a souped-up version of the word-association game, you might ask, ‘So what?’ The value lies in the clarity of the picture that emerges… Consider that the BYOD trend that’s underway requires the development of trust inside the organization. Trust is needed not just as part of the natural evolution of the internal structure of the enterprise, but also for it to respond better and faster to marketplace events that can wrong-foot it. In other words, no business can expect to survive if it remains the same.” Read more
The Times of India recently wrote, “Who needs an army of lawyers when you have a computer? When Minneapolis attorney William Greene faced the task of combing through 1.3 million electronic documents in a recent case, he turned to a so-called smart computer programme. Three associates selected relevant documents from a smaller sample, ‘teaching’ their reasoning to the computer. The software’s algorithms then sorted the remaining material by importance. ‘We were able to get the information we needed after reviewing only 2.3% of the documents,’ said Greene, a Minneapolis-based partner at law firm Stinson Leonard Street LLP. Artificial intelligence has arrived in the American workplace, spawning tools that replicate human judgments that were too complicated and subtle to distill into instructions for a computer. Algorithms that ‘learn’ from past examples relieve engineers of the need to write out every command.” Read more
Every picture tells a story, don’t it? Well, turns out that’s true in the enterprise as much as on our Facebook pages. In this case, the picture is the enterprise graph of the workforce – who interacts with whom, when, in what context. And the story is what the patterns of interactions revealed by the graph may say about employee engagement, influence, and how to better leverage all that to the business’ – and the employees’ — benefit.
When Marie Wallace, IBM analytics strategist, looks at social and collaborative networks and other sources of enterprise communications and channels for business processes, such as CRM systems, “I am interested in the narrative,” she told an audience at the Sentiment Analytics Symposium earlier this month. “There is a lot of information in CRM systems – who met with whom, what industry the client is in, what products were presented. All this is valuable and contributes to the enterprise graph.”
NEW YORK, March 19, 2014 /PRNewswire/ — The New York Genome Center (NYGC) and IBM today announced an initiative to accelerate a new era of genomic medicine with the use of IBM’s Watson cognitive system. IBM and NYGC will test a unique Watson prototype designed specifically for genomic research as a tool to help oncologists deliver more personalized care to cancer patients.
NYGC and its medical partner institutions plan to initially evaluate Watson’s ability to help oncologists develop more personalized care to patients with glioblastoma, an aggressive and malignant brain cancer that kills more than 13,000 people in the U.S. each year. Read more
Ryan Lawler of Tech Crunch reports that Gridspace “has created an application based on technology that automatically saves and indexes meeting conversations. But the big breakthrough is that, though the magic of machine learning and natural language processing, it can determine which parts of the meeting conversations were most important. I got a demo of the technology at work, with Gridspace CEO Evan Macmillan showing off a beta version of the company’s app for our presentation. With the app open, he walked me through the basics, occasionally telling the app to ‘remember’ certain interesting aspects.” Read more
Tom Simonite of the MIT Technology Review reports, “Asked whether two unfamiliar photos of faces show the same person, a human being will get it right 97.53 percent of the time. New software developed by researchers at Facebook can score 97.25 percent on the same challenge, regardless of variations in lighting or whether the person in the picture is directly facing the camera. That’s a significant advance over previous face-matching software, and it demonstrates the power of a new approach to artificial intelligence known as deep learning, which Facebook and its competitors have bet heavily on in the past year.” Read more
BERKELEY, CA–(Marketwired – Mar 17, 2014) – Wise.io today announced that it has raised $2.5 million in Series A funding led by Voyager Capital and named predictive analytics technology industry veteran Jeff Erhardt as CEO. Company co-founder Joshua Bloom will assume a new role as CTO leading the technology direction for Wise.io.
“Machine Learning is unquestionably the future of advanced analytics for the enterprise. When I first met Wise.io, I was struck by the caliber of the team and the unequaled performance of their core technology,” said Daniel Ahn, managing director at Voyager Capital who joined the Wise.io board as part of the transaction. ”Ultimately, what distinguished Wise.io from the other vendors and compelled us to invest was their focus on providing a complete turnkey product that was easily accessible to business users.” Read more
Derrick Harris of GigaOM reports, “DataRPM, a Fairfax, Va.-based startup that has built a business intelligence product based on search engine technology, has raised a $5.1 million Series A round of venture capital. InterWest Partners led the round, which follows up on a $250,000 seed round the company raised in April. As we explained in a July post about an ‘askathon’ (essentially, a business intelligence hackathon) the company was hosting, DataRPM is based on search technologies and tries to deliver a search-like experience. Data is indexed rather than modeled, and users perform queries in a search bar using natural language.” Read more
Apparel.com reports, “Reflektion, a retail analytics firm, has raised $8 million in a Series B funding round led by Intel Capital and including NIKE, Inc. as well as several private investors. Reflektion provides a predictive analytics platform for retailers and brands through an easily deployable Software-as-a-Service (SaaS) model. The company plans to use the funding to support its customers — including Converse, Inc., which is currently piloting the technology, O’Neill, A.M. Leonard and RealTruck — and to launch broadly its ecommerce and business intelligence solutions in the market. The resources will also be used for additional product development, plus expanded sales and marketing activities.” Read more