To help with your chatbot information overload, here’s a handy list of numbers about the rising prominence of online messaging, voice interfaces, and having a conversation with your friendly AI assistant.
33 Facts and Forecasts About Chatbots and Voice Assistants
430 AI Startups in Israel
The number of startups using AI technology has nearly tripled in size since 2014, and based on a three year average growth rate, 95 new AI startups are founded each year in Israel. Almost 300 startups were founded between 2014 and today, representing over 60% of all Israeli AI startups.
Source: Daniel Singer
Posted in Artificial Intelligence
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Barriers to AI Adoption
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.
Only 16% say their company is well prepared for the challenge of IoT security
Source: McKinsey See also Security Ledger
Posted in Internet of Things
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Richard Socher, Salesforce (Emerging AI Leaders Series)
“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.”