WHY IT MATTERS: Digital Transformation
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WHY IT MATTERS: Digital Transformation
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Curated by Farid Mheir
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Put this on your long-term #AI radar: put #Memristors in Neural Networks because they act like neurons, are low-power and non volatile via @IEEESpectrum

Put this on your long-term #AI radar: put #Memristors in Neural Networks because they act like neurons, are low-power and non volatile via @IEEESpectrum | WHY IT MATTERS: Digital Transformation | Scoop.it

Newfound “edge AI” applications for device that integrates memory and computing, has randomness built in, sips battery power

Farid Mheir's insight:

WHY IT MATTERS: a bit geeky but this article explains quite well how memristors can become the basis for improve AI systems in the future.

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The #retail industry should benefit most from #AI in #marketing and #supplyChain but are retailers leveraging it? via @McKinsey

The #retail industry should benefit most from #AI in #marketing and #supplyChain but are retailers leveraging it? via @McKinsey | WHY IT MATTERS: Digital Transformation | Scoop.it

An analysis of more than 400 use cases across 19 industries and nine business functions highlights the broad use and significant economic potential of advanced AI techniques.

Farid Mheir's insight:

WHY IT MATTERS: I was surprise to see that the retail industry has the highest potential to leverage AI. This report provides the insights and the analysis.

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JPMorgan's massive guide to machine learning jobs in finance: summary of a 280 page report.

JPMorgan's massive guide to machine learning jobs in finance: summary of a 280 page report. | WHY IT MATTERS: Digital Transformation | Scoop.it

In May, J.P. Morgan’s quantitative investing and derivatives strategy team, issued the most comprehensive report ever on big data and machine learning in financial services.
Titled, ‘Big Data and AI Strategies’ and subheaded, ‘Machine Learning and Alternative Data Approach to Investing’, the report says that machine learning will become crucial to the future functioning of markets. Analysts, portfolio managers, traders and chief investment officers all need to become familiar with machine learning techniques. If they don’t they’ll be left behind: traditional data sources like quarterly earnings and GDP figures will become increasingly irrelevant as managers using newer datasets and methods will be able to predict them in advance and to trade ahead of their release.

Farid Mheir's insight:

WHY IT MATTERS: AI will disrupt industries that had been left mostly alone by the digital Internet revolution: Finance, Accounting, Law, Medecine, etc. They are all industries that rely on visual or text analysis but require very simple processing to perform the most routine back office tasks. This report presents the impact in very detailed fashion and this summary is useful because it applies to many industries, if you adjust the terminology. It highlights one key element: learn to program and to analyze data because these are the jobs of the (near) future. For those crazy enough to read the 280 pages, here is the link: http://valuesimplex.com/articles/JPM.pdf 

Graphics Design's curator insight, January 30, 2018 7:51 AM

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.@Stanford release the #AI index for 2017 full of data and analysis on the state of AI today #mustRead

.@Stanford release the #AI index for 2017 full of data and analysis on the state of AI today #mustRead | WHY IT MATTERS: Digital Transformation | Scoop.it

The AI Index is an open, not-for-profit project to track activity and progress in AI. It aspires to be a comprehensive resource of data and analysis for policymakers, researchers, executives, journalists and others to rapidly develop intuitions about the complex field of AI.
AI is the new electricity, and is transforming multiple industries. The AI Index will help current generations track and navigate this societal transformations. It will also help future generations look back and understand the AI's rise.

Farid Mheir's insight:

WHY IT MATTERS: AI evolves rapidly and this report presents the state of the world (mostly the US at this time) as it relates to AI. Must read.

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McKinsey's State Of Machine Learning And AI in 2017

McKinsey's State Of Machine Learning And AI in 2017 | WHY IT MATTERS: Digital Transformation | Scoop.it
Tech giants including Baidu and Google spent between $20B to $30B on AI in 2016, with 90% of this spent on R&D and deployment, and 10% on AI acquisitions. AI investment has turned into a race for patents and intellectual property (IP) among the world’s leading tech companies.
Farid Mheir's insight:

WHY IT MATTERS

This article from McKinsey provides an overview of the investments, improvements and priorities in AI and machine learning as of mid 2017.

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A Peek at Trends in Machine Learning shows an explosion in papers recently

A Peek at Trends in Machine Learning shows an explosion in papers recently | WHY IT MATTERS: Digital Transformation | Scoop.it

Have you looked at Google Trends? It’s pretty cool — you enter some keywords and see how Google Searches of that term vary through time. I thought — hey, I happen to have this arxiv-sanity database of 28,303 (arxiv) Machine Learning papers over the last 5 years, so why not do something similar and take a look at how Machine Learning research has evolved over the last 5 years?

Farid Mheir's insight:

WHY THIS IS IMPORTANT

More research = more discoveries so we can expect even more practical uses of machine intelligence in the coming years...

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