Nand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc... ...
Full BioNand Kishor is the Product Manager of House of Bots. After finishing his studies in computer science, he ideated & re-launched Real Estate Business Intelligence Tool, where he created one of the leading Business Intelligence Tool for property price analysis in 2012. He also writes, research and sharing knowledge about Artificial Intelligence (AI), Machine Learning (ML), Data Science, Big Data, Python Language etc...
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Here come all the AI deployments; Now how do we manage AI?
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- Accenture timed its AI survey for the Davos powwow last week. The upshot: 72 percent of the 1,200 senior executives surveyed by Accenture said intelligent technology will be critical to their organization's market differentiation.
- Sixty-one percent of respondents to that Accenture survey said that the share of roles requiring AI will rise in the next three years.
- Infosys research, based on a survey of more than 1,000 business and IT leaders, found that AI is moving past experimentations to deployment. Infosys found that 73 percent of respondents agreed that their AI deployments have already transformed the way they do business.
- According to Infosys, 86 percent of organizations surveyed said have middle to late-state AI deployments underway.
- TD Bank bought an AI company called Layer 6 to bolster new customer experiences.
- Narrative Science found in its own research that AI adoption grew more than 60 percent in the last year.


Now, searching for a competitive advantage and fearful of disruption, boardrooms and CXOs have rushed to AI as the next big thing. The investment in pilots for AI's subsets of machine learning, deep learning, natural language processing and cognitive computing have moved from science projects to new digital business models powered by smart service.