Machine intelligence is on the verge of being democratized. Business leaders should stop thinking of machine intelligence in theoretical terms and start thinking of it as a force ready to be embedded in countless aspects of daily...
The digital banking relationship center is at the heart of today’s digital bank. CIOs can help improve the digital banking customer experience by taking three steps.
Companies intent on weaving AI more tightly into the fabric of their businesses are seeking to better explain how algorithms make their decisions, especially where risk and regulations are involved.
A dive into the future of Internet of Things and the implications and opportunities of Artificial Intelligence. What are the lines we as consumers fear being crossed? Can helpful become intrusive?
The forward march of automation technologies – which include hardware (e.g. robots, digital kiosks), software (e.g. AI), and customer self-service (e.g. mobile ordering) – continues to reshape the world economy. Automation has already...
Many kinds of cognitive biases can cloud physicians medical judgement. With the emergence of Artificial Intelligence in healthcare, recommendations can emerge that help overcome these biases. In order for AI to be truly useful,...
The Cold War is often cited as the starting point for the scientific work around natural language processing (NLP) that has since evolved into computational linguistics, an artificial intelligence (AI) technology now in commercial...
Executives are anxious to jump on the AI bandwagon, but many organizations lack the requisite data & analytics infrastructure or executive culture to build production machine learning systems.
AI and machine learning algorithms are increasingly being brought to bear on collaborative business workflows and processes for automation and to enable intelligent conversational experiences. There is a paradigm shift in digital...
What is your AI vision? To stay competitive it is critical to define how AI and machine learning can take your business to the next digital level and build your plan of action.
Google leads in cutting edge AI research, but lags behind Amazon, Microsoft, and IBM in market share for enterprise cloud and AI solutions. To win the enterprise A.I. wars, the search giant must overcome two key disadvantages.