How cognitive computing is different from AI (and why you should care)
Lately, there has been a lot of talk about artificial intelligence (AI), but I have a sneaking suspicion that when most people hear AI, all they really hear is, “AI–blah, blah, blah.” I get it.
That said, there’s no doubt that the AI revolution is on and that it’s widely predicted to change the landscape of work—forever. For instance, some predict that as many as 800 million jobs could be automated by 2030.
“That kind of speculation has overshadowed more nuanced conversations about how AI—more specifically cognitive computing—is being used to augment humans, not to replace them,” said Dipanwita Das, Founder, and CEO of Sorcero. “At Sorcero, we’re applying cognitive computing, to change the future of work for the better.”
A recent article in Interesting Engineering clarified the difference between AI and cognitive computing: “The essential distinction between cognitive platforms and artificial intelligence systems is that you want an AI to do something for you. A cognitive platform is something you turn to for collaboration or for advice.”
Walter Bender, Chief Learning Officer at Sorcero further clarified, saying, “when a machine learns how to play chess better than a human, it doesn’t teach us how to play chess better–because the technology is completely opaque.”
For the decision makers, this usually comes down to a simple equation of time or money saved. What’s the best way that you can measure performance through your product, and how can you relate that back to an improved bottom line for your customer? What is the single metric you can employ to drive home your value proposition?
At Sorcero, we are building out our platform to track metrics for both users and decision-makers. For the decision-makers, we are going straight to the bottom line, figuring out a rough metric of the dollar value for each question answered, in order to deliver a weekly report on the total time saved and savings delivered.
Conversely, rather than replacing human employees, Sorcero augments and amplifies their abilities. Its core technology is built around an advisable recommendation engine, designed to surface meaningful, contextual answers, coupled with a powerful knowledge validation workflow. “It’s the transparency of Sorcero’s cognitive technology that makes it truly collaborative, making both human and machines smarter in the process,” Bender added.
According to Das, the big problem Sorcero is tackling is what she calls, “the convergence of learning and work.”
“We’ve reached a tipping point”, said Das, “where enterprises are bearing the burden of preparing workers for an uncertain future; one where the only constants will be rapidly changing technology coupled with an ever-increasing volume of complex knowledge.”
At the same time, she explained, “these enterprises are beleaguered by legacy systems, content silos, and seas of unstructured data, and they are struggling with costly intelligence bottlenecks that erode employee productivity and undermine competitiveness.”
The solution, said Das, “lies in rethinking how we engage with knowledge itself.”
Sorcero is a cognitive technology company that augments workforce intelligence and performance. Developed by MIT Media Lab veterans, Sorcero provides workers with frictionless access to contextual knowledge and personalized learning directly in their workflow, increasing their productivity, insight, and engagement.
Sorcero works with enterprises to identify and solve their most pressing knowledge and learning challenges. “We’ve combined proprietary AI with some of the best features of search, chatbots, and virtual assistants,” said Bender, “creating a whole new approach to engaging with company knowledge that supercharges employee performance and insight.”
Learn more about how Sorcero helps enterprises stay competitive, increase performance, revenue, and decreases human error.