carrotcarrotcarrotChange Centersxcognizanticollaboratorscreate-folderData ScienceDecisive InfrastructuredownloaddownloadeditEmailexitFacebookfilesfoldersfuture-of-workglobal sourcingindustryinfoinfographiclinkedinlocationMass EmpowermentMobile Firstour-latest-thinkingpdfquestion-markicon_rsssave-articlesearch-articlesearch-folderssettingsicon_sharesmart-searchSmart Sourcingicon_starTwitterValue WebsVirtual CapitalworkplaceArtboard 1
Cognizant logo

News Room

Contact Us

Your information has been submitted successfully!

RT Insights, US: Cognizant Leadership Discusses the Introduction of Cognitive Computing into Organizations

“Taking a heuristic approach to deploying cognitive computing technology will help organizations understand the technology, prepare for its disruption—and scope out its many possibilities for transforming products, services, experiences and even how we work,” write Aan Chauhan and Srinivas TK.“ Cognitive computing ultimately is how we can flawlessly replicate human sensory capabilities, analyze more data in real time and free us to spend more time using our imaginations to create and innovate.” Excerpts:

“Cognitive computing, which mimics how humans learn, think and adapt, will enable a wide range of real-time insights and action.

Eventually, it will replicate human sensory perception, deduction, learning, thinking and decision-making. Enabled by vast amounts of computing power, cognitive computing technology will be able to perceive patterns humans may not be able to perceive and provide solutions.

Step 1: Categorize the technology landscape across a maturity continuum
The first step in making the decision about which technology to focus on is to evaluate its maturity. Technologies that are highly mature are likely to be ready for adoption to address immediate opportunities.

Step 2: Identify immediate opportunities for adoption
Look for immediate opportunities for deploying cognitive computing solutions that emphasize ROI. The productivity and/or financial returns from these solutions will help free up resources and funding for longer-term projects such as cognitive automation. The goal is to have a high success rate with initial projects and realize value fast, in approximately six months to a year.

Step 3: Pilot and prototype emerging areas
While deploying the quick-win applications, also plan for how mature and evolving technologies could work together to transform the business. Then the organization can layer the goals it plans to achieve via cognitive computing over time

Step 4: Assess moonshot projects
With successes in hand, the organization can begin to envision radically different ways of operating and turn core competencies on their heads. The technologies that will make moonshots possible will be on a three- to five-year trajectory for achieving maturity, with academia their likely source. R

Cognitive computing will not only help businesses contain costs and operate more efficiently, it will equip them to spark new waves of innovation.

Click here to read more.