September 13, 2016

WE'RE RIGHT AT THE BEGINNING OF THE MACHINE AGE:

On the Cusp of an AI Revolution (Marc Benioff. SEP 13, 2016, Project Syndicate)

Every generation or so, emerging technologies converge, and something revolutionary occurs. For example, a maturing Internet, affordable bandwidth and file-compression, and Apple's iconic iPhone enabled companies such as Uber, Airbnb, YouTube, Facebook, and Twitter to redefine the mobile-customer experience.

Now we are on the cusp of another major convergence: big data, machine learning, and increased computing power will soon make artificial intelligence, or AI, ubiquitous.

AI follows Albert Einstein's dictum that genius renders simplicity from complexity. So, as the world itself becomes more complex, AI will become the defining technology of the twenty-first century, just as the microprocessor was in the twentieth century.

Consumers already encounter AI on a daily basis. Google uses machine learning to autocomplete search queries and often accurately predicts what someone is looking for. Facebook and Amazon use predictive algorithms to make recommendations based on a user's reading or purchasing history. AI is the central component in self-driving cars - which can now avoid collisions and traffic congestion - and in game-playing systems like Google DeepMind's AlphaGo, a computer that beat South Korean Go master Lee Sedol in a five-game match earlier this year.

Given AI's wide applications, all companies today face an imperative to integrate it into their products and services; otherwise, they will not be able to compete with companies that are using data-collection networks to improve customer experiences and inform business decisions. The next generation of consumers will have grown up with digital technologies and will expect companies to anticipate their needs and provide instant, personalized responses to any query.

So far, AI has been too costly or complex for many businesses to make optimal use of it. It can be difficult to integrate into a business's existing operations, and historically it has required highly skilled data scientists. As a result, many businesses still make important decisions based on instinct instead of information.

Posted by at September 13, 2016 4:20 PM

  

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