Over at CNN Money, By JP Mangalindan writes that while many organizations continue to struggle to make sense of Big Data, a new Startup called Optensity has built a system that assists decision-making without worrying about where the data is located, how it’s formatted, and how it’s changing.
One thing popping up is called the “Internet of Things,” said Optensity Founder and CEO Pamela Arya. “That’s an example where we think our tool could be really useful in the future. Because the Internet of Things is basically a world of sensors, where you would compute on the sensor as the data is throwing off the sensor to find out interesting things. Hey, nobody’s been in the house for a while, but the air conditioner is still running. That kind of thing. So you needs two sensors there: a physical sensor. No one’s moving around. Another sensor saying the air conditioning’s running. So those kinds of problems are where we see the future of where data is going.”
Next week, Optensity will compete at this year’s Startup Idol competition during Fortune’s Brainstorm Tech conference in Colorado. Read the Full Story.
In this podcast, Deepak Jeevan Kumar from VC firm General Catalyst Partners describes his efforts to help entrepreneurs with disruptive ideas in big data, cloud computing, data center infrastructure, cyber-security, and clean energy.
Deepak Jeevan Kumar has been with General Catalyst since 2010, first in Boston and later in the firm’s Palo Alto office. He specializes in incubating and launching big data and cloud computing startups. Deepak has been closely involved in General Catalyst’s investments in AltiScale, DataGravity, ParElastic, Push Computing, Sunglass.io and Virtual Instruments. Prior to joining GC, Deepak led Sun Microsystems’ high performance computing work in the Asia-Pacific region. He has the distinction of being a key architect of a few top 10 supercomputers in the world. He also had a short stint at the Yale Investments office. Deepak is a graduate of the National University of Singapore, earning a B.Eng. in Computer Engineering; the Singapore-MIT Alliance, earning a S.M. in Computer Science; and the Yale School of Management, earning an M.B.A.
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Over at GigaOM, Derrick Harris writes that there are now more choices for businesses that want out-of-the-box functionality for machine learning, predictive analytics and general data science.
An offspring of Greenplum (former Greenplum parent company EMC is an investor, in fact), Alpine Data Labs is doing what amounts to Microsoft Visio for predictive analytics. Its software sits right inside a company’s data store (that can be Hadoop or any number of popular databases) and lets users analyze the data by drawing flow charts. It’s a little more complex than just pulling down a menu and selecting “cluster,” but it’s a whole lot easier than trying to code those functions.
Harris also looks at Context Relevant, Datameer, Skytree, and Wise.io.
Over at Entrepreneur Magazine, Mikal E. Belicove writes that of the power of Big Data for small business is “knowing the now.”
If your business can gain insight from data-logging sensors, you can distill that knowledge into timely, intelligent decisions and trigger the right action at the right time. Or, put another way, today you no longer use data to see what happened; instead you use it to see what’s happening in real time, which allows you to pinpoint your marketing, improve service, reduce costs and save time. The possibilities are endless.
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In this video, CRM Software analyst Ashley Verrill discusses “Lean Analytics” with author and veteran entrepreneur Alistair Croll.
Lean Analytics is the dashboard for every stage of your business, from validating whether a problem is real, to identifying your customers, to deciding what to build, to positioning yourself favorably with a potential acquirer. It can’t force you to act on data–but it can put that data front and center, making it harder for you to ignore, and preventing you from driving off the road entirely.
Over at TechCrunch, Anthony Ha writes that Automated Insights’ new product called Site Ai pulls data from existing systems such as Google Analytics and then summarizes that data into normal sentences.
With a Site Ai summary, you shouldn’t have to do too much thinking. As the company name implies, all of the summaries are automatically generated by Automated Insights’ technology, not people. Allen told me that’s a big challenge: “Turning data into text is difficult because it requires marrying two skills that traditionally don’t play well with each other: programming and writing.” The reason Allen said he can do it is because he has a background in both technology (he worked at Cisco and has degrees from MIT in computer science), but also in writing (he’s the author of a number of books published by O’Reilly).
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In this video from the 2013 HPC User Forum, Darren Schulte from Apixio presents: Knowledge-driven Outcomes for Healthcare.
Download the slides (PDF) or check out the HPC User Forum Video Gallery.