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January 22, 2019

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 we have a sneaking suspicion that when most people hear AI, all they really hear is, “AI--blah, blah, blah.”

We get it.

That said - there’s no doubt that the AI revolution is on. It’s widely predicted to change the landscape of work—forever. 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.”

Learn More About The Language Intelligence Platform for Mission-Critical Workflows in Life Sciences


What's the difference between cognitive computing and AI?

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 Technology 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.”


Transparent Cognitive Technology

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.

💡 How is Sorcero building more transparent and equitable AI products? 3 Ways Sorcero is Boosting Transparency and Reducing Bias


Rethinking How We Engage with Knowledge

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.”

>> See the ways AI is transforming life sciences workflows in our white paper: AI for Medical Affairs and Regulatory Affairs


Cognitive Technology at Sorcero

Sorcero is a cognitive technology company that augments life sciences expert 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.

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Sean Smith
Sean Smith Sean is VP of Marketing at Sorcero


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