Show notes
"Things that can be automated, should be automated.” That’s Sinequa’s philosophy as described by Scott Parker, director of product marketing. Sinequa specializes in “information-driven” data, as opposed to “data driven.”
It’s the difference, Parker tells ActualTech Media’s James Green, behind Warren Buffet’s famous quote that he “eats like a 6-year-old” because he saw data that showed that those children have the lowest death rate.
In other words, making your data useful is all about context. Information-driven data is supplied with context to make better decisions, and it’s done in an automated fashion rather than a wasteful manual fashion. What does that mean? Parker lays it all out in this edition of “10 on Tech.”
Highlights of the show include:
* An exploration of the “cognitive burden” for companies
* Data-driven vs. information-driven: what’s the difference?
* The benefits—and limitations—of artificial intelligence
* Artificial intelligence’s “last mile” problem
* How an organization becomes information driven
* Case studies of successful information-driven businesses
Resource links from the show:
Sinequa -- https://www.sinequa.com/
The Benefits of Becoming Information-Driven Using AI & Machine Learning -- https://www.sinequa.com/become-information-driven-sinequa/
Insight Platform Overview -- https://www.sinequa.com/insight-platform-2/
Becoming Information-Driven Begins with Pragmatic AI -- https://blog.sinequa.com/2019/07/11/idc-pragmatic-ai/
Surfing the Cognitive Search Wave (as a Leader) Again -- https://blog.sinequa.com/2019/05/29/surfing-the-cognitive-search-wave/
We hope you enjoy this episode; and don’t forget to subscribe to the show on iTunes, Google Play, or Stitcher.
It’s the difference, Parker tells ActualTech Media’s James Green, behind Warren Buffet’s famous quote that he “eats like a 6-year-old” because he saw data that showed that those children have the lowest death rate.
In other words, making your data useful is all about context. Information-driven data is supplied with context to make better decisions, and it’s done in an automated fashion rather than a wasteful manual fashion. What does that mean? Parker lays it all out in this edition of “10 on Tech.”
Highlights of the show include:
* An exploration of the “cognitive burden” for companies
* Data-driven vs. information-driven: what’s the difference?
* The benefits—and limitations—of artificial intelligence
* Artificial intelligence’s “last mile” problem
* How an organization becomes information driven
* Case studies of successful information-driven businesses
Resource links from the show:
Sinequa -- https://www.sinequa.com/
The Benefits of Becoming Information-Driven Using AI & Machine Learning -- https://www.sinequa.com/become-information-driven-sinequa/
Insight Platform Overview -- https://www.sinequa.com/insight-platform-2/
Becoming Information-Driven Begins with Pragmatic AI -- https://blog.sinequa.com/2019/07/11/idc-pragmatic-ai/
Surfing the Cognitive Search Wave (as a Leader) Again -- https://blog.sinequa.com/2019/05/29/surfing-the-cognitive-search-wave/
We hope you enjoy this episode; and don’t forget to subscribe to the show on iTunes, Google Play, or Stitcher.

