Notes on Artificial Intelligence 1

Sundar Pichai CEO Google.jpg

The fundamental drivers of economic growth during the last two centuries have always been technological innovations. The most impactful are what economists call general-purpose technologies, such as the steam engine, electricity, and the internal combustion engine.

According to the Harvard Business Review post, The Business of Artificial Intelligence: "The most important general-purpose technology of our era is artificial intelligence, particularly machine learning — that is, the machine’s ability to keep improving its performance without humans having to explain exactly how to accomplish all the tasks it’s given. Within just the past few years machine learning has become far more effective and widely available. We can now build systems that learn how to perform tasks on their own."

Another good AI primer from Global X, Artificial Intelligence, Explained discusses the difference between artificial intelligence, machine learning, and deep learning. More on the same from Amazon: What is Artificial Intelligence? 

Some basic AI overviews: 

From Recast, UX and AI: The New Best Friends states: "The recent explosion of artificial intelligence was caused by the convergence of big data and the augmentation of computational power leading to machine learning, natural language processing and speech recognition.”

The post suggests: "AI is a matter of UX above all." It includes a few examples of how AI is being used today and why "it might be UX's new best friend when it comes to humanizing the customer experience and building a smart product."

"AI is a matter of UX above all."

A good example of that in action is Alibaba's new FashionAI platform: Alibaba’s AI Fashion Consultant Helps Achieve Record-Setting Sales

From Microsoft’s AI Vision, Rooted In Research, Conversations: When Bill Gates created Microsoft Research in 1991, he had a vision that computers would one day see, hear and understand human beings — and this notion attracted some of the best and brightest minds to the company’s labs. Last year, Microsoft became the first in the industry to reach parity with humans in speech recognition.

Here, Fast Company explains How Amazon, Google, Microsoft, and IBM Sell AI as a Service:

"Alphabet, Amazon, and Microsoft have all discovered that the artificial intelligence they use to make their own products better can be turned into a service and sold to corporate customers as a value-added service on top of their booming cloud-computing businesses.

"Alphabet and its best-known subsidiary, Google, have put considerable resources into machine learning going back to 1999, the first year that Google acknowledged publicly that it used AI to improve Google Search, then its only product. Once Google decided to get more serious about its cloud computing business and serving enterprise customers—Google Cloud storage officially launched in 2010—it has found more ways to take its AI investment and acumen and use it to serve others. Diane Greene, SVP of Google Cloud, has admitted that enterprise customers had been wary of Google because the company has been so consumer focused; its AI capabilities have played a meaningful role in winning them over."

The following is a round-up of how Google is developing AI.


The Great A.I. Awakening: How Google used artificial intelligence to transform Google Translate, one of its more popular services — and how machine learning is poised to reinvent computing itself

Google Believes Its Superior AI Will Be The Key To Its Future: Google wants to obtain customers as large as Netflix and Spotify, both of which pay Amazon to take advantage of its widely used AWS cloud platform. Microsoft is the other big industry leader in the cloud, and its Azure product suite is growing rapidly. Google ultimately wants its cloud business to eclipse its advertising one by 2020.

Sundar Pichai Says The Future Of Google Is Ai. But Can He Fix The Algorithm?: Pichai is intent on pressing Google's advantage in AI — not just by integrating AI features into every product it makes, but by making products that are themselves inspired by AI, products that wouldn't be conceivable without it.