Imagine, a farmer standing in the middle of a field holding his mobile in hand and asks question, ‘What must I plant in the field?’ and he gets the appropriate reply via his handset within seconds. Answer that he’d receive would be based on location data, historical trends and scientific studies and not from any human being. This is what the researchers behind Watson 2.0 plan to achieve.
Watson 2.0 is an extension of Watson a computing system with deep analytic technology that defeated humans – Ken Jennings and Brad Rutter – on Jeopardy. Oncologists at Memorial Sloan-Kettering Cancer Center (MSKCC) for individualized cancer diagnostic and treatment recommendations are using the same computational wizardry. Although, the result of its execution in the field of medicine would actually surface sometime late next year.
As of the recent update, IBM is making a move in converting the supercomputing solution into an app that may well operate on smartphones. It clearly seems that the Big Blue is trying to make Watson 2.0 stand against Siri.
Challenges that Watson 2.0 has to face
Watson is already consuming vast amount of energy in N.Y. data center. How will it respond to managing more queries all across the globe? Power would emerge as one of the biggest hurdle. And what about monetization part?
How priority would be defined by the computing system. For instance, queries related to baseball match must not eclipse its ability to evaluate potentially life-saving medical data.
No doubt, Watson has proved its capability over Siri’s lack of ability in comprehending many questions. But the challenges still loom high for the computational wizardry, the result of which requires a lot of time and energy to conclude. After all, users would expect a high level of accuracy & success from the Big Blue.