IBM has identified new Start-ups at Vivatech Paris 2017
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IBM has just introduced new Artificial Intelligence partner start-ups at VivaTech this weekend in Paris. Their website has identified a number of start-ups that they are collaborating with. Much like Google’s recent procurement of AI start-ups, IBM intend to be ahead of the curve in anticipation of the Artificial Intelligence explosion.. The Parisian technology market is incredibly diverse and has seen a 30 percent rise in the number of start-ups created between 2012 and 2015. In collaboration with Watson services IBM have embrace new advancements within information technology to allow for ventures to have a launch pad.
This year IBM have created Scale Zone, which is a specific area that allows for the development of innovative projects, at the IBM Headquarters in Paris. Currently 11 start-ups are utilising the Scale Zone facility – focused on The Internet of Things (IBM, 2017)
Amongst the key Artificial Intelligence start-ups that IBM are collaborating with are Hoomano, Natural Talk and Victor and Charles. Hoomano is a focussed on the development of interactions between humans and robots. In this respect Hoomano create software that allows for Robots to improve interactions with humans – consequently machine learning is central to the development of appropriate emotional responses. Natural Talk are based in Paris and focus on the development of Artificial Intelligence to analyse customer profiles and ‘personality insights’. Therefore such technologies are centred on tailoring services and ‘agents’ that would best meet the requirements of the client. Such analyses looks at analysing the language tone of an individual and Twitter insight analyses. Finally Victor and Charles utilises artificial intelligence to identify ‘real-time’ customer insights and tailor their experience to suit their individual requirements or desires. Again this technology utilises language tone analysers, natural language classifiers and Insights for Twitter (IBM, 2017)
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Such collaborations are sure to provide finalised machine-learning software packages that will hit the market – potentially without our knowledge. Consequently we will begin to see tailored business services and leisure services that meet our individual needs much more accurately. Moreover Robots will be able to read our emotions and respond accordingly – perhaps understanding very complex and subtle changes in our voice patterns and facial expressions.
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