AI, Spence Green, CEO discussed on Artificial Intelligence in Industry
Is Daniel Fidel in. You're listening to the A in business podcast as it turns out it's actually rather challenging to develop an AI product or service business model that's going to work well, without enterprise is actually by what we've seen particularly with the trend in corona virus but also with the development of various startups that we've interviewed over the years, hundreds and hundreds of interviews since going all the way back to twenty twelve. Is that more and more companies are looking to find ways to make their AI solutions accessible. How do we involve less deep and robust integration with the client? How do we involve faster turnaround more predictable turnaround for our AI result and deliverable, and this has the upside of being able to make an AI solution something that's more it purchaseable we don't need as much. Is it? Relation as much experimentation, and sometimes that's good. Some companies however need to sell transformation you're selling ai platform, and you need people to now start doing ai in your system in your software, leveraging it working across different cross functional teams. Well, in that case, you don't want to just sell an it lake solution. You actually do WANNA start to shake up the base helped the company encourage. A new data infrastructure, new ways of working with teams, a culture that's more compatible with iteration in experimentation, but selling that transformation is hard and it's particularly hard in these trying economic times. So again, we're seeing more and more companies lean towards faster turnaround for value and lilt. Is a good example of a company doing just that we speak this week with Spence Green was the CEO of Lilt. Lilt essentially does enterprise translation time they translate enterprise content and they do that scale isn't do this with some of the largest brands in the world as it turns out to take really good marketing content and transform it into Japanese into German into. Spanish is is not a trivial task and to keep the brand voice is actually very hard. But how do we do that without making it too tough on the customer spends talks a lot about how they've framed the business and how they've made it more accessible for companies to be able to purchase services without necessarily having to shake up the way they do business, which sometimes is required for certain AI products. Again, it's not necessarily wrong, but it does make deployment and decision making in terms of a purchase a little bit more challenging, and so there's a lot of great insights about what it looks like to sell ai into the enterprise. A lot is a good example of an AI firm. That's worth bypasses a lot of the hurdles at many other firms face. Some of you who've been longtime listeners you might wanNA listen to our episode with edited just the way it's spelled E. D. I. T. edited we interviewed their CEO not terribly long ago about how they've solved a similar problem see a common pattern here in terms of what spent talks about. So you want to know what it looks like to build something that's easy to deploy. This is an episode for you, and if you're interested in selling a into the enterprise, if you're a consultant or a services firm visit than. Be sure to check out emerge plus Switzer's are online library of AI. Best. Practices are libraries, use cases and our AI whitepaper library where you can find best practices around calibrating measuring I.. R. Y. are on picking and selecting projects around helping AI teams deploying get value out of artificial intelligence solution so whether you're in the enterprise yourself to enterprise checkout emerge plus you can find it an em RJ dot com slash p. one that's plus and then the number one in the J. dot com slash p. one lots of great lessons in this episode appreciate Spence joining us without further ado suspense screen with.