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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#AI, #Automation and #BigData will create more jobs by 2030 than they will eliminate according to @McKinsey #Tech4Good

#AI, #Automation and #BigData will create more jobs by 2030 than they will eliminate according to @McKinsey #Tech4Good | WHY IT MATTERS: Digital Transformation | Scoop.it

Additional economic growth, including from business dynamism and rising productivity growth, will also continue to create jobs. Many other new occupations that we cannot currently imagine will also emerge and may account for as much as 10 percent of jobs created by 2030, if history is a guide. Moreover, technology itself has historically been a net job creator. For example, the introduction of the personal computer in the 1970s and 1980s created millions of jobs not just for semiconductor makers, but also for software and app developers of all types, customer-service representatives, and information analysts.

Farid Mheir's insight:

WHY IT MATTERS: this is a positive news about new technologies. However we must brace ourselves because many people will loose their jobs and not have the skills - or the willingness - to adapt. This will certainly create turmoil in companies - and possible whole countries. Prepare.

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The #AI 100 from @cbinsight: will it one day replace the Fortune500? 

The #AI 100 from @cbinsight: will it one day replace the Fortune500?  | WHY IT MATTERS: Digital Transformation | Scoop.it

A ranking of the 100 most promising private artificial intelligence companies.

It is a purely data-driven/algorithmic process that uses CB Insights data. We’ve gathered this data via our
machine learning technology (dubbed The Cruncher) as well as via several thousand direct submissions
from firms and individual professionals using The Editor.
The Company Mosaic page walks through the factors considered in the algorithm in some detail but at a
high level, it considers several factors including:
- Momentum – Considers non-traditional signals including news mentions, sentiment, jobs data/hiring,
social media, web traffic and usage, partnerships, and more.
- Market – Quantifies the health of the sector and industry the company is involved in, including funding,
deals, exit activity, and hiring.
- Money — Assesses financial signals including funding recency and total raised.
- Investor quality – Weighs the quality of the investors participating in deals to the company, judging
investors based on exits, returns, and portfolio quality.

Farid Mheir's insight:

WHY THIS IS IMPORTANT

Are we on the eve of an era where the Fortune 500 is replaced by the "AI 100"?

This may be more realistic than you think if the current predictions regarding the future of work push humans to service each other and let all the "work" be done by machines - robots and AI.

We are not there yet and this list merely reports 100 startups that are very active in the field AI. Nevertheless, it is interesting to consider what impact AI may have and adjust our digital strategies accordingly...

Fortune magazine has also created a very interesting infographics from this mountain of data: http://fortune.com/2017/02/23/artificial-intelligence-companies/ 

compressedpiano's comment, February 28, 2017 10:51 PM
Thats stunning...
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