Blog

In previous jobs, organizing a social gathering for my team was relatively straightforward; people do it all the time.  For a co-located team, the steps are clear and obvious.  First, find a conference room that is not only available, but as secret/hidden as you need it to be.  

Seeq is now, and always has been, a fully distributed company. We have no physical office, and we hire people from all over the country and world. We've all come to love the benefits of working from the comfort of our homes, but people outside the company  and prospective candidates tend to share a common concern: "How do you stay connected on a human level?" 

The multi-billion-dollar Time Series Databases markets now find industry heavyweights vying for position in a once-quiet category.

Time series data storage and management has long been an interesting—if quiet—market category. It’s been a multi-billion-dollar business for years and a mainstay in process manufacturing plants since the 1980s.

My favorite Christmas story is “The Grinch who Stole Christmas” and I am sad to say that I wasn’t able to find a Grinch sweater for our executive picture this year. Obviously, we found several festive options, but no Grinch. Maybe next year, in the meantime Happy Holidays!

CB Insights, an analyst firm focused on startups, is holding its Aha! conference in early December where it will unveil its list of the top “AI 100” companies. That’s right, CB Insights had to select “just” 100 AI companies claiming to use AI in their product. (More on CB Insights and their conference in the December blog.) With so much market noise, it’s no wonder the Gartner Hype Cycle (another analyst firm, for IT audiences) has “Machine Learning” and “Deep Learning” at the highest level of their July 2017 Technology Hype Cycle report, in the “Peak of Inflated Expectations” category.

Before a discussion of how Seeq is going “beyond the aha!”, a quick head’s up to let you know Seeq is now a Schneider Electric Wonderware Registered Partner.  This partnership is another milestone in our effort to support the broadest range of customer data sources, including options that span a dozen historians, relational data sources like Microsoft SQL Server and Oracle, and open source systems for “big data.”