While most leaders now know that tech is a vital part of business, many are wondering what they really need to know about technology to succeed in the digital age. Coding bootcamps may appeal to some, but for many leaders, learning to code is simply not the best investment. It
Deep Learning Shows Some Promises, But Yet To Deliver On Its Own Hype
A few years back I jumped on the “machine learning will eliminate the need for radiologists” bandwagon. It wasn’t my smartest prediction. In my failure, however, I’m joined by the biggest experts in deep learning, like Geoffrey Hinton, who in 2016 proclaimed it was “just completely obvious [that] within five
Successful Learning From Failure: Create An Organizational Culture In Which Employees Feel Safe To Report A Failure
Many executives believe that all failure is bad (although it usually provides lessons) and that learning from it is pretty straightforward. The author, a professor at Harvard Business School, thinks both beliefs are misguided. In organizational life, she says, some failures are inevitable and some are even good. And successful
How To Create AI And Machine Learning Driven Marketing Strategy Which Has Greatest Potential To Create Value
In order to realize AI’s giant potential, CMOs need to have a good grasp of the various kinds of applications available and how they may evolve. This article guides marketing executives through the current state of AI and presents a framework that will help them classify their existing projects and
How AI And Machine Learning Can Help To Improve Global Agriculture
Global spending on smart, connected agricultural technologies and systems, including AI and machine learning, is projected to triple in revenue by 2025, reaching $15.3 billion, according to BI Intelligence Research. Spending on AI technologies and solutions alone in Agriculture is predicted to grow from $1 billion in 2020 to $4
What Happens When Machine Learning Goes Wrong? | A Guide To Managing The Risks
“products and services that rely on machine learning – computer programs that constantly absorb new data and adapt their decisions in response – don’t always make ethical or accurate choices. sometimes they cause investment losses, for instance, or biased hiring or car accidents. and as such offerings proliferate across markets,
Potential Of Collective Learning Using Differential Privacy
Imagine a hospital in rural Texas can have the same AI capabilities as a research hospital in New York City running cutting edge AI to help with the diagnosis while preserving patient privacy. This is the new world of collective learning. Collective learning is an application of deep learning algorithms
Digital Transformation: Learning Across Industries | A Keynote By Lars Kristian Stråtveit
From shoes to bits – Learning across industries on digital transformation. Lars Kristian Stråtveit, VP Digital Marketing at Telenor speaking at the NG Telecoms Summit. GDS Group is a global events, research and technology services company dedicated to helping clients meet the challenges posed by a fast-moving, disruptive business environment.
The Future Of Artificial Intelligence And Machine Learning | Keynote By Hilary Mason At Open Data Science
In this video, watch this special keynote talk from Hilary Mason about “The Present and Future of Artificial Intelligence and Machine Learning” during the Open Data Science Conference in Boston 2019. Hilary Mason is an American data scientist and the founder of technology startup Fast Forward Labs as well as
Machine Learning: A Key To Success
The past decade has brought tremendous advances in an exciting dimension of artificial intelligence – machine learning. This technique for taking data inputs and turning them into predictions has enabled tech giants such as Amazon, Apple, Facebook, and Google to dramatically improve their products. It has also spurred start –
The Power Of Self-Learning Systems | A Talk By Demis Hassabis
Demis Hassabis, (Co-Founder & CEO, DeepMind) will discuss the capabilities and power of self-learning systems. He will illustrate this with reference to some of DeepMind’s recent breakthroughs, including the AlphaZero, AlphaStar and AlphaFold systems, and talk about the implications of cutting-edge AI research for scientific and philosophical discovery.
The Power Of Self-Learning Systems | A Talk At MIT
Demis Hassabis will discuss the capabilities and power of self-learning systems. He will illustrate this with reference to some of DeepMind’s recent breakthroughs, including the AlphaZero, AlphaStar and AlphaFold systems, and talk about the implications of cutting-edge AI research for scientific and philosophical discovery.