Episode 34: A Conversation with Christian Reilly

In this episode, Byron and Christian talk about AGI, AI assistants, transfer learning, ANI and more.

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Guest

Christian Reilly is vice president of global product and technology strategy at Citrix. He also serves as an expert to share the Citrix vision with customers, partners and Citrix global teams. Working to better understand the evolving markets in which Citrix competes, his team delivers strategic counsel into the business to influence future product direction. Before joining Citrix, Reilly was at Bechtel Corp. for 18 years, where he was responsible for the strategic planning, enterprise architecture and innovation program within the corporate Information Systems and Technology group. Under his direct leadership, the team defined strategic areas of technology development and advised on sustainable innovations that would make the biggest impacts to the business. He has expertise in technology strategy, systems design, commercial evaluation, implementation and operation of complex solutions; at Bechtel, he oversaw vendor management of key core vendors such as Citrix, Cisco, HP, Juniper and Microsoft as well as emerging startup companies with new technologies, products, and solutions. Christian has been recognized for leading the technical team at Bechtel that created what has been called the first enterprise private cloud deployment.

Transcript

Byron Reese: This is Voices in AI, brought to you by GigaOm, I’m Byron Reese. Today our guest is Christian Riley. He is thVice President of Global Product and Technology Strategy over at Citrix. Before joining Citrix, Riley was at Bechtel Corporation for eighteen years where he was responsible for the strategic planning, enterprise architecture and innovation program within the corporate information system and technology group. Welcome to the show, Christian. 

Christian Riley: Thanks Byron, great to be here, thanks for having me. 

I love to start off with a simple question, which isn’t really so simple, what is artificial intelligence?  

So, it is very interesting actually, I mean, when I think about artificial intelligence, I kind of think about it in two different ways, there is the general intelligence, which is kind of very broad and I’d suggest is a technology way of trying to re-create the human brain, and then we have this other idea and notion, which is artificial narrow intelligence, which is really about breaking down what I consider to be relatively mundane and programmable repetitive tasks that are much simpler in concept but are effective ways of either augmenting or, kind of, replacing the humans from doing certain tasks. That’s kind of the way that I like to look at. 

Well, I think it’s really good. So let’s talk about those is two separate things, and let’s start with general intelligence. But before we start I want to ask you, do you believe that general intelligence is an evolutionary development from narrow AI? Like, does it get narrower or little broader, little broader, little broader, and that’s how it’s general,” or is an AGI completely different technology, it looks completely different and we haven’t even really started building it yet?