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
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
“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,
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
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.
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
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 –
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.
5G is ushering in a new breed of “genius” networks to deal with the increased levels of complexity, prediction and real time decision making that is required to deliver the performance gains promised not just in enhanced mobile broadband applications but also in IoT and mission critical use cases. At
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.
A physician-turned-entrepreneur raised in Kashmir is now part of a team using big data and machine learning to help detect useful patterns in the tsunami of public health data generated world-wide by the COVID-19 crisis and do what he can for those back home.
On April 16, Intel and Udacity jointly announced their new Intel® Edge AI for IoT Developers Nanodegree program to train the developer community in deep learning and computer vision. If you are wondering where AI is headed, now you know, it’s headed to the edge. Edge computing is the concept of storing data and computing data directly at the location where it is needed.