Doug Lenat, Ph.D., contributor, is a pioneer in artificial intelligence. Dr. Lenat is founder of the long-standing Cyc project and CEO of Cycorp, a provider of semantic technologies for unprecedented common sense reasoning. He has been a Professor of Computer Science at Carnegie-Mellon and Stanford and has received numerous honors, including the bi-annual IJCAI Computers and Thought Award (the highest honor in Artificial Intelligence). Dr. Lenat is a founder and Advisory Board member of TTI Vanguard, where he continues to co-run four conferences each year.
Molly Lavik has been instrumental in the formation of the sustainable business industry for the past decade, and for the last five years has also developed the world’s first conference at the intersection of artificial intelligence and the Entertainment/Media/Health and Wellness industries.
We would not be comfortable giving emotionally impaired people real-time decision-making authority over our family members’ health, our life savings, our cars or our missile defense systems. Yet we are hurtling in that direction with today’s emotionally impaired AIs.
Margaretta Colangelo, Managing Partner at Deep Knowledge Ventures, has over 30 years of experience working in the software industry in Silicon Valley. Deep Knowledge Ventures invest in toptier DeepTech companies in the areas of AI for drug discovery, Longevity, and NeuroTech. Margaretta serves as an Advisory Board Member to several startups around the world.
Chetan Dube has served as the President and CEO of IPsoft since its inception in 1998. During his tenure, he has led the company to create a radical shift in the way IT is managed. Dube is a mathematician and prior to joining IPsoft, he served as an Assistant Professor at New York University.
For the past few years, Artificial Intelligence has initiated unlocking value gains through the automation and augmentation of routinized operational activity. But are we underestimating the potential of machine intelligence? Does it make sense to relegate a powerful technology to perform tactical tasks? Or can AI move further upstream and help corporate boards make more accurate strategic decisions?
It is said that this is the best of times for direct to consumer (DTC) genetic testing companies, human disease genomics, and the launch of genomic data marketplaces. Due to advances in technology and the availability of cost-effective consumer genotyping kits, massive genomic data sets from human patients and controls are being created from across nations.
Since the beginning of modern times, each industrial revolution was driven by different automation. While factory machines and fossil fuels drove the previous industrial revolutions, the ongoing automation revolution is based on data-driven artificial intelligence (AI). Understanding its impact and what will be required to support the AI-driven automation revolution is a fundamental necessity.
Data is the foundation of artificial intelligence-driven automation. Our data is becoming a valuable commodity to automation initiatives across nations: its governments, industries, organizations, and academia (NGIOA). Since data and information drive the value of artificial intelligence initiatives, the better the sources of data, the better the automation initiatives and resulting intelligence outcomes.Introduction
Less than six months after launching my company I found myself at a diner with a friend. Over coffee, I began telling him about my recent successes — and struggles — as an entrepreneur. He stopped me. “Have you read The E-Myth?”
I shook my head.