Google: The Search For The Democratization Of Artificial Intelligence Leads To The Cloud [VIDEO]

Shelly Dutton

For Google, the relentless search for answers is more than search algorithms. It’s the core of every innovation, ranging from YouTube and Android to self-driving cars. And for its 60,000 employees scattered across 50 countries, this mission is bringing it closer and closer to artificial intelligence, including machine learning.

During his SAPPHIRE NOW session, “Empower Intelligent Enterprises with Machine Learning from Google and SAP,” Francisco Uribe, head of product at Google, shared a simple vision for machine learning and AI: an opportunity to shape new business processes and customer experiences made possible through automated access to relevant information – structured and unstructured.

From Francisco’s perspective, the cloud is the best vehicle for AI capabilities. “At Google, we fundamentally believe the ideal place for AI is the cloud. For this reason, we’re making huge investments in the cloud machine-learning platform that will emerge in the next few years as a powerful tool that any developer and customer can use as an onramp onto this field.”

Through the cloud, Google envisions the democratization of AI across three areas:

1. Computing

The computing requirements of machine-learning are immense. A model today could quickly post thousands of millions of parameters generated from billions of connections. In this case, training employees on these models and servicing them are not a small endeavor. Through a cloud engine tool, companies can harness the power of an open-source, deep-learning library. Meanwhile, the cloud allows training and servicing at scale and with a greater focus on performance.

2. Algorithms 

Even if a company has the right computing capability, AI remains one of the most complex endeavors in computer science. A set of predefined AI models can help businesses solve common machine learning tasks without the need to acquire additional expertise. Use cases include understanding images and speech, translating text, and parsing natural language. 

3. Talents and expertise

Like any technology, some training is needed to extend and reap the full potential of artificial intelligence. Google created an advanced solutions lab that can be used to train the workforce on AI – and the same curriculum and courses used to train its engineers are now available to its customers. This opportunity enabled businesses to understand the benefits of AI better and solve their toughest problems with machine learning.

By making artificial intelligence and machine learning technology available, every business can leverage an enterprise brain to connect information and derive insights from millions of transactions generated by various systems. The benefits of this approach are more than automating processes, easing decision making, and creating new efficiencies; they’re about uncovering global information trends that have never been identified before.

Want to take advantage of Google’s strategies and tools for democratizing artificial intelligence and machine learning? Watch the replay of the SAPPHIRE NOW session, “Empower Intelligent Enterprises with Machine Learning from Google and SAP,” to learn how.