Machine Learning Definition

MachineLearning-xkcd

Source: XKCD

Posted in Machine Learning | Leave a comment

Timeline of the Internet of Things (IoT)

IoT_timeline

See also A Very Short History Of The Internet Of Things

Posted in Internet of Things | Leave a comment

Biggest Fintech Opportunity

Fintech_Unbanked

Posted in Misc | Tagged | Leave a comment

Barriers to AI Adoption

AI-Barriers

Sloan Management Review: The gap between ambition and execution is large at most companies. Three-quarters of executives believe AI will enable their companies to move into new businesses. Almost 85% believe AI will allow their companies to obtain or sustain a competitive advantage. But only about one in five companies has incorporated AI in some offerings or processes. Only one in 20 companies has extensivelyincorporated AI in offerings or processes. Less than 39% of all companies have an AI strategy in place. The largest companies — those with at least 100,000 employees — are the most likely to have an AI strategy, but only half have one.

Posted in AI | Tagged | Leave a comment

Digital Transformation: China As Number One

ChinaDigital

 

China_ecommerce

Posted in digital transformation | Leave a comment

Only 16% say their company is well prepared for the challenge of IoT security

IoT_security_Mckinsey

Source: McKinsey  See also Security Ledger

Posted in Internet of Things | Leave a comment

Richard Socher, Salesforce (Emerging AI Leaders Series)

Socher“AI teaches us who we are,” says Richard Socher. The recent rapid progress in the field of artificial intelligence is the result of successfully processing “a large amount of known training data, doing things [the computer] has seen before,” he says. Unlike humans, computers cannot create something new and unique.

Human creativity has been the driving force behind scientific and engineering advances, including making computers do more human-like activities such as identifying objects or words. Socher’s creativity, his ability to come up with new approaches to solving computers’ language and visual processing challenges, has made him a rising star of the deep learning movement that has spawned exciting new applications of artificial intelligence.

Deep learning has also spawned a number of emerging AI leaders and Richard Socher exemplifies their career trajectories and ambitions—advancing AI research as PhD candidates but not pursuing an academic career, starting companies and/or joining forces with established ones, all with a burning drive to make a big practical impact on the work and lives of as many people as possible.

“I always liked math and languages” says Socher. “Math is beautiful, abstract, it might be true in a thousand light years. Language is the most interesting manifestation of human intelligence, it’s what makes us most unique in the Animal Kingdom. Those two are best combined in linguistic computer science.”

Read the rest of the article at Forbes.com

Posted in AI, deep learning | Tagged | Leave a comment

IoT Top Concern: Security

IoT_SurveyAug17.png

Posted in Internet of Things | Leave a comment

Automotive 2.0: Israeli Startup Landscape

Israeli_Startups_-_Automotive_2.0.png

Source:  10 of the hottest self-driving technologies from Israel

Posted in Misc | Leave a comment

Deep Learning, Not AI, Most Effective Term in Job Listings

AI_JobDescriptions.jpeg

AI_JobsDescriptions2

Textio: These phrases appear to be following the pattern of big data before them. As AI language has become more common in job ads, the less interesting it has become to potential job applicants. No surprise: when everyone is using the same language, no one stands out…

Textio looked at a bunch of tech terms that appear to be trending based on their recent usage growth. While all of these phrases still occur much less often than AI or ML, they’re all on the rise in a statistically unexpected way…

Enjoy your 15 minutes of fame, chatbots. Everyone knows what happens next.

 

Posted in AI, deep learning | Leave a comment