Big Data Still Requires Humans to make Meaningful Connections

In a recent article for TechCrunch Big Data Still Requires Humans to make Meaningful Connections, Ron Miller relates a story about how the IBM computer Deep Blue beat Gary Gasparov, the world’s best chess player in 1997 under tournament conditions. The story goes on to mention that just 8 years later, a group of amateur players working in conjunction with three computers was able to beat that same machine that conquered the world’s best chess player. Even even though the power of technology continues to grow faster and faster, we agree that we still need humans to help make sense of the data collected. So while the EcoBlu Analyst environmental big data tool certainly won’t make experienced, thoughtful ecosystem markets professionals obsolete, it will make their work faster, more efficient, and completely fact-based. This high-value, low cost cloud-based system allows subscribers to easily consult a wide range of federal and state environmental data sets to quickly understand patterns, trends, and insights previously locked away in unrelated, incompatible databases. You can subscribe online here today or Contact the EcoBlu Analyst team to learn more about this revolutionary environmental big data efficiency tool or inquire about a customized version that integrates your propriety data into the multitude of available environmental data sets.