Big data analytics tends to focus on what is easily available, which is by and large data about what has already happened, the implicit assumption being that past behavior will predict future behavior. However, organizations already possess data they aren’t exploiting.
Stuart Sherman and Richard Goyder demonstrate how, with the right tools, the latent variables hidden within call recordings, email records, social media, and video can be extracted and used to develop models that are far more predictive because they identify personality, the root of motivation. Stuart and Richard explain why this is important and how companies can exploit this data toward actionable outcomes.
Stuart Sherman is the CEO of innovative AI company IMC Business Architecture, which is pioneering behavioral AI, where he helps some of the world’s largest companies design and implement AI that changes the way they understand their big data. Previously, Stuart founded an early management information services company that, in the late 1980s, ran a private network for mail and file transfers between Toronto, New York, and Mexico City; founded and sold one of Canada’s first digital agencies (before the internet was a household thing); and founded an innovative subprime lender, which built a substantial automotive loan portfolio that was sold shortly before the financial crisis of 2007. Stuart studied managerial sciences, specifically focusing on managerial accounting relating to behavioral economics and organizational behavior.
Richard Goyder is the head of data science at IMC Business Architecture, where he helps companies change the way they think about and use their big data through AI. Richard came to big data as a user, running data-intensive departments, credit portfolio management, and performance management and compensation for Canada’s largest bank. Previously, he worked in consulting with BCG and in financial services in the UK and Canada. Richard holds degrees from the University of Oxford and INSEAD.
Help us make this conference the best it can be for you. Have questions you'd like this speaker to address? Suggestions for issues that deserve extra attention? Feedback that you'd like to share with the speaker and other attendees?
Join the conversation here (requires login)
©2018, O’Reilly UK Ltd • (800) 889-8969 or (707) 827-7019 • Monday-Friday 7:30am-5pm PT • All trademarks and registered trademarks appearing on oreilly.com are the property of their respective owners. • firstname.lastname@example.org