A recent post on machine learning and education from Arthur Tisi, CEO of Meaning Bot, originally published on LinkedIn.
New York AI: featuring MEANINGBOT chief innovation officer Arthur Tisi.
November 28, 2017 - Sponsored by O'Reilly Media
AI for use with Language, Linguistics and Text is emerging as a critical tool for companies big and small. Arthur Tisi will present the tools techniques and benefits of using NLP and Neural Networks to harness this useful data.
NEW BOOK FEATURES MEANINGBOT FOUNDER AND CHIEF INNOVATION OFFICER ARTHUR TISI.
October 2, 2017 - Meaning Bot CIO Arthur Tisi is one of a number of Start-up Founders featured in a new book by Renown authorJim Stengel
Today's established companies must find new ways to reignite their entrepreneurial DNA and jump start revenues--or risk losing their way. By working with startup companies, Jim Stengel, renown consultant to Fortune 500 companies and the former Global Marketing Officer for Procter & Gamble, says that legacy companies can renew themselves: by acquiring new technology and creating new business lines; relearning the need for speed; sparking innovation; and learning from failures.
At P&G, Stengel saw the importance of establishing partnerships with the startup world in order to learn how to better innovate. Relying on extensive interviews with innovation leaders at enterprise companies and startups, Stengel’s Unleashing the Innovators takes readers inside such storied companies as GE and Wells Fargo, IBM and Target, Motorola Solutions and Toyota to see what they are learning from their alliances with entrepreneurs. Stengel also explores how even 20- and 30-year-old "startups" like Amazon, Google, and Facebook can reinvent themselves--and what managers at legacy companies everywhere can learn from them.
Drawing on a specially commissioned global study of over 200 established corporations and startups, conducted by research consultancy OgilvyRED, Stengel found that companies with successful startup partnerships are three times more likely to change their culture to be more innovative. Filled with in depth stories from the front lines of today’s most forward-looking companies, Unleashing the Innovators shows how companies of all sizes can better navigate today’s changing landscape, accelerate innovation, increase revenues, and improve their customer relationships.
NEW YORK ARTIFICIAL INTELLIGENCE CONFERENCE FEATURING MEANINGBOT CIO ARTHUR TISI.
November 28, 2017 - Sponsored by Barclays Bank Natural Language Processing is moving at the same pace Artificial Intelligence is. The intersection of math concepts such as Artificial Neural Networks are building upon the traditions of NLP which are based partially in linguistics.In this presentation Meaning Bot founder and Chief Innovation Officer Arthur Tisi will delve into where the science is heading and how you can begin to leverage the power of both. Seating for this event is limited. This is a ticketed event. For more information please go to https://www.meetup.com/NYAImeetup/
July 2017 - Data Economy Magazine Feature - In the next 20 years it is estimated that 50 percent of the global workforce will be impacted by advances in artificial intelligence. AI companies are fighting for great talent and this provides opportunities for varied backgrounds to thrive in the emerging job market. This describes how, why and gives tips on various aspects how to succeed.. http://dataconomy.com/2017/06/math-physics-artificial-intelligence-careers/
New York Artificial Intelligence CONFERENCE featuring MEANINGBOT CIO Arthur Tisi.
June 2017 - Sponsored by Barclays Bank AI is no longer a shiny object. It is transforming business in ways not thought possible a decade ago. But with that type of hyper growth comes challenges. Unreasonable expectations, limited executive understanding, talent shortages and a lack of quality data can all contribute to risks, if not long-term, then possibly short-term. Arthur will explore the need to have an iterative understanding of the limitations of AI at the Enterprise level as it expands beyond a “shiny object” industries. This presentation will cover both a historical approach to the evolution of where AI has landed as well as practical recommendations for the use of specific steps to take in order to avoid AI “perception risk” . The presentation will conclude with a discussion of the the underpinnings of learning theory as a basis for all successful AI delivery.