AI-enabled automation is making good headway. This discussion looks at some use cases. Sramana Mitra: Let's start by introducing our audience to yourself as well as to Hyperscience. Peter Brodsky: I'm the founder and CEO of Hyperscience. We are an automation company. We automate mostly things like data entry. Moving forward, we are going to be automating more and more companies with their business processes. That's Hyperscience in a nutshell. Sramana Mitra: Let's double-click down. Speak to me in use cases so that we get a visceral view of what kind of customer problems you are solving. Peter Brodsky: A lot of companies and governments have a lot of business processes that are document-based. Imagine, you have to get a mortgage. What do you have to do? You need to assemble a whole host of documents - your bank statement, tax returns, W2's, letters of employment, and documentation of anything that you might own. You submit this pile of documents that then gets

Artificial intelligence is, of course, all the rage in tech circles, and the press is awash in tales of AI entrepreneurs striking it rich after being acquired by one of the giants, often early in the life of their startups. As always, the reality of building a startup is different, especially when one aims to build a self-standing company for the long term. The path to success in AI requires not just technical prowess but also careful thinking and execution through a range of strategic and tactical questions that are specific to this domain and market. One possible framework to think through these topics is this "5P"list: Positioning (finding blue ocean), Product, Petabytes (data), Process (social engineering) and People. This week at the excellent O'Reilly Artificial Intelligence Conference, I covered those topics (as much as a 40 minute presentation allows), with the help of Peter Brodsky, CEO of HyperScience.

Artificial intelligence is, of course, all the rage in tech circles, and the press is awash in tales of AI entrepreneurs striking it rich after being acquired by one of the giants, often early in the life of their startups. As always, the reality of building a startup is different, especially when one aims to build a self-standing company for the long term. The path to success in AI requires not just technical prowess but also careful thinking and execution through a range of strategic and tactical questions that are specific to this domain and market. One possible framework to think through these topics is this "5P"list: Positioning (finding blue ocean), Product, Petabytes (data), Process (social engineering) and People. Last week at the excellent O'Reilly Artificial Intelligence Conference, I covered those topics (as much as a 40 minute presentation allows), with the help of Peter Brodsky, CEO of HyperScience.

Artificial intelligence is, of course, all the rage in tech circles, and the press is awash in tales of AI entrepreneurs striking it rich after being acquired by one of the giants, often early in the life of their startups. As always, the reality of building a startup is different, especially when one aims to build a self-standing company for the long term. The path to success in AI requires not just technical prowess but also careful thinking and execution through a range of strategic and tactical questions that are specific to this domain and market. One possible framework to think through these topics is this "5P"list: Positioning (finding blue ocean), Product, Petabytes (data), Process (social engineering) and People. This week at the excellent O'Reilly Artificial Intelligence Conference, I covered those topics (as much as a 40 minute presentation allows), with the help of Peter Brodsky, CEO of HyperScience.