In a recent article on Medium, Los Angeles Entrepreneur, Consultant, investor, and TED speaker Sid Mohasseb argued that the AI train has left the station and attempts to stop it will be futile.
In the last few months, we have seen even more pessimism spread onto AI from the likes of Elon Musk and Bill Gates. The media have given a lot of echoes, perhaps purposely given that the topic increases eyeballs, to these opinion makers. At a recent Joe Rogan Youtube interview, Elon Musk reiterated that AI is potentially more dangerous than nuclear weapons and that it is insane for the government not to regulate it.
In this interview with Paolo Messina, Sid revisits and expands his previous conclusions. At first, he digs in the concept of the human ability to adapt to a changed scenario. He articulates a clear and crispy business vision. His viewpoint is that as long as AI creates business value adoption will make sense and will result in an overall benefit for business and society.
When it comes to job disruption, the ability of machines to take over human society, Sid has a very simple yet profound viewpoint. He exemplifies it with an example. He says that when we invented the knife we could have claimed that it could be used to kill people and that we would lose the ability to chew raw meat well, finally saying that our teethes would become less sharp and effective. However, when we look at the invention today, thousands of years after, we really do not care so much about our teethes being less sharp and much less we believe that the pains of the world including violence, crime and wars are attributable to the knife's invention.
Following this line of thought, Sid concludes that the very nature of the relationship between humans and machine will change, humans will adapt by delegating more of our cognitive tasks to machines and they will be refocusing on other tasks that are at the same time more IQ demanding and more fulfilling as humans.
The interview also addresses how managers in traditional and tech industry can manage the change and leverage this new technology to achieve business success. Sid sheds some light on this with a simple and crispy business analysis. He mentions that business value and its creation is the only and most safe decision tool that managers have to evaluate, decide upon and execute on new machine learning or AI projects.
During the interview, we also take a look at how industry adoption will be in part fostered by startups and in part by companies incubating and developing their own projects. Once more Sid simplifies the success factors for startups in this area in a very simple yet crispy message: Solve a strong enough problem and invest the time necessary to gain your counterpart trust so they will adopt your solution. Sid is convinced that ultimately there is no assurance of success but, there is also no success without pushing the envelope of the status quo.
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Oded: “Decision-making is an important role in most businesses in the last decade. More and more tools based on artificial intelligence and machine learning are introduced to support these decisions.
The artificial intelligence and machine learning one-day program is designed for senior executives and for corporate decision makers who already invested or consider to invest in artificial intelligence and machine learning software.”
Fabrizio: “For the professional success of managers and competitive advantage of companies the interaction between human decision-making and machine learning is going to be crucial in the future and this day will keep you with all the knowledge required to prosper and benefit.”
Oded: “The format of a day AI and machine learning one day program is a mix of lectures, introduction for theories, discussion of applications and discussion of case studies. It will be done by experts from academia and by practitioners who are coming from array of industries with huge experience.
The benefits of managers for completing their artificial intelligence and machine learning program is their better understanding of their artificial intelligence and machine learning analytical tools. These tools are designed to support decisions.”
Fabrizio: “This program is designed for both multinational global corporates as well as smaller fast growing disruptors in multiple industries. As a result of the cost of these technologies dramatically reducing it is now economical feasible for big and smaller companies to leverage them for their own benefit.”
Oded: “There is sometimes a gap between what managers think they can generate from it from what actually is generated from these tools.”
Fabrizio: “Senior executives after attending this program will be able to manage digital transformations in a much more effective way because they will be able to tell the difference between just collecting data a few hundred pounds month of cost to managing large digital transformation projects at the few hundred thousand pounds of millions of pounds a month and this program will enable them to understand what to do, how and when.”
This presentation was recorded at GOTO Copenhagen 2017
Michael Green - Machine Learning Expert and Artificial Intelligence Evangelist
In a world where deep learning and other massively scalable perception machines are at our disposal, allowing us to build amazing applications, the time is now ripe to move beyond the concept of pure perception and into broader Artificial Intelligence (AI). The path towards AI goes through what's missing in many applications today; Inference. Only when we combine Inference machines and Perception machines [...]
Download slides and read the full abstract here:
#DataScience #ML #AI #Blackwood
11 Artificial Intelligence Examples In Business namely
1. spam filters
2. smart email categorisation
3. voice to text features
4. smart personal assistants, such as Cortana
5. automated responders and
6. online customer support
7. process automation
8. sales and business forecasting
9. security surveillance
10. smart devices that adjust according to behaviour
11. automated insights, especially for data-driven industries (eg financial services or e-commerce)
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A better tomorrow with Technology
Prediction Machines: The Simple Economics of Artificial Intelligence,” discusses how AI could help business professionals make better decisions. The Inc. Tank is hosted by The Ed Snider Center at the Robert H. Smith School of Business.
You can also catch full episodes of The Inc. Tank at http://www.theinctank.org and on Spotify, Apple, Google Play and Stitcher.
Professor Joshua Gans, Author “Prediction Machines”, Professor of Strategic Management at University of Toronto
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In this latest Management Events report: Future of Business: Artificial Intelligence and Robotics, we asked 1,021 decision-makers from some of Europe’s top organizations about their current and future AI strategic development initiatives and investments. Which AI technologies are they investing in and why?
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Now a household name in the Indian computer science scene, Anirudh Kala offers us a sneak peek into the mind-boggling commercial potential of Artificial Intelligence and Machine Learning technologies and illustrates how customer service can be revolutionized by the statistical and computational analysis of ‘conversations.’ His fresh perspectives on the everyday things we don’t fully appreciate drives home the lesson of what it means to be an entrepreneur in today’s world.
Anirudh Kala is an expert in Machine Learning techniques, Artificial Intelligence, creating predictive models using state of the are Machine Learning and Deep Learning Algorithms. He has helped multiple organizations with Quantitative Research and Data Science Exploration and Big Data implementation. He has also been involved in energy optimization at the International Space Station, in coordination with NASA. He is the co-founder of Celebal Corp, where he leads the Data Science Vertical to build applications that make use of Big Data technologies and Data Science. He has also worked as a Data Analytics consultant at IBM.
This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
We are in the third-generation business, an era that requires to reimagine the business and work.
Paul Daugherty, Chief Technology & Innovation Officer di Accenture - author of the book “Human+Machine - Reimagining Work in the Age of AI” - explains how we are moving towards a new "collaborative intelligence" Era, where human skills like perception, creativity, communication embrace machine skills like prediction, repetition, memorization
On the TED@BCG stage, AI pathfinder Philipp Gerbert dispels the myth of AI as a complex and mysterious tool for business. In reality, he says, even those of us outside Silicon Valley can have an intimate understanding of AI and put it to work today. Gerbert walks us through the ABC’s of AI and what it can mean for your organization.
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We’re already seeing artificial intelligence apps such as Google Lens (camera search) and Netflix (recommendation algorithms), but could app developers be doing more with machine learning and smartphone AI? Let us know your thoughts & get the survey report: https://grow.ac/ai_data
In this video, Bernardo takes a look at some of the most wanted AI functions and mobile technology that people want in their smartphones. A surprising amount of AI apps are already available. For example, translation technology was used during the World Cup in Russia in 2018, and future smartphones will be even more advanced, with artificial intelligence apps allowing people from around the world to converse in many different languages, without needing to spend enormous amounts of time and energy on learning them.
There’s also a huge opportunity for artificial intelligence apps to capitalise on the desire for self-improvement. Fitness apps are becoming more and more popular as people strive for self-improvement and look towards smartphone AI for assistance. Smartphones in 2019 might even be the perfect workout buddy, helping to design personalised fitness regimes, send notifications to get you up and moving and check your form as you exercise.
Smartphones are providing huge opportunities in AI for business, and over the next few years, you can expect to see artificial intelligence apps and smartphone AI shaping the future of mobile technology, especially as iPhone and Android AI compete to be at the forefront of smartphone technology.
Don’t forget to let us know which AI features you would like to see on your smartphone! Answer two quick questions and we'll send you the survey report in a few weeks: https://grow.ac/ai_data
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Hans-Christian Boos has a mission: empowering human potential,
freeing up time for creativity and innovative thinking
through artificial intelligence (AI). Chris Boos has a mission: empowering human potential, freeing up time for creativity and innovative thinking through artificial intelligence (AI). To that end, Chris founded Arago in Germany in 1995, pushing existing boundaries in AI technology to build a general AI. Since then, Chris has led Arago to become a key partner and driver for the established economy. But his ambitions go far beyond: a strong believer in integrating machine reasoning and machine learning, Chris is constantly challenging current thinking on AI. As a strategic corporate and political advisor, as well as angel investor, Chris’ multifaceted engagement for AI makes him a much respected public speaker and thought-leader on issues of global importance, such as the man-machine-relationship, the way societies deal with information and the future of labor. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
BCG Partner and Managing Director Philipp Gerbert presents on the benefits of AI to a group of senior leaders at MIT.
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