The data science industry generated many headlines this year, from the U.S. Department of Commerce hiring its first chief data scientist to the National Science Foundation launching four regional data science brain trusts. But now that 2015 is winding down, it’s time to figure out where this buzzworthy industry is headed. Here are some projections of the primary trends of data science for the coming year
We know the quakes are coming. We just don’t know how to tell enough people early enough to avoid the catastrophe ahead. Around the world more than 13,000 people are killed each year by earthquakes, and almost 5 million have their lives affected by injury or loss of property. Add to that $12 billion a year in economic losses to the global economy (the average annual toll between 1980 and 2008). Understandably for some time scientists have been asking if earthquakes can be predicted more accurately.
The worlds of traditional commerce and e-commerce are merging. I just think we’ve hit an inflection point where technology is now so pervasive and so useful that we’re past the tipping point. And the world of e-commerce and commerce are now just seamlessly merged, and everything is omnichannel.
Insurance companies face conflicting challenges. They must contend with continuing instability in financial markets, low interest rates, increasing acquisition costs, changing regulation and catastrophic losses from ongoing natural disasters.
In contrast to the one-size-fits-all medicine, personalized medicine aims to tailor treatment to the individual characteristics of each patient. This requires the ability to classify patients into subgroups with predictable response to a specific treatment.
Talent science is the business capability of using advanced data analysis techniques and predictive models to drive HCM decision making. It calls for a logical connection between decisions about people, HR program investments and strategic business outcomes.
In the venture capital world, it’s all about the “hits.” A hit is a startup that makes it big, returning many multiples of a venture fund’s initial investment. Hits are great for everyone—investors, entrepreneurs, job seekers—but the problem is they don’t happen very often. The odds of a big hit are about one in 10.