Another Big Data startup launches.
Originally posted on Gigaom:
Big data startup Skytree emerged from stealth mode on Thursday with its product that is designed to democratize the science of machine learning, while improving significantly on the speed and scale of existing options. Skytree has raised a $1.5 million Series A investment round from Javelin Venture Partners.
Machine learning is a particularly complex approach to big data, and one that has been largely relegated to only the most-advanced companies, such as financial institutions or large web properties. The technique enables systems to get smarter the more data they ingest, which is particularly useful for tasks such as finding hidden patterns or accurately classifying data without human interaction. The libraries and algorithms are out there for anyone to use if they have good enough skills, but deploying a system that can perform the task on large data sets with reasonable performance is the hard part.
That’s the problem Skytree thinks it has solved with its eponymous Skytree Server. R, Informatica (s infa) and Matlab have been around, as have open source libraries such as Apache Mahout, but “we’ve basically introduced massively scalable machine learning,” said Co-Founder and CEO Martin Hack. It’s one thing to have the best algorithms — something Skytree’s team of machine-learning Ph.D.s have been working on — but it’s something else to be a server designed from the ground up to perform the task across thousands of servers as today’s big data environments require.