Pryon founder and CEO Igor Jablokov explains how his company makes it easier for enterprises to access their important data by utilizing augmented intelligence and efficient language models. He also discusses where AI is headed both in the enterprise and in our personal lives thanks to advances in models, chip architectures, and more.

Hex Technologies co-founder and CEO Barry McCardel talks about how his company is attempting to simplify the data science workflow—notebooks, collaboration, storytelling, sharing, you name it. And with a focus on security, something for which the founding team developed an affinity during their time at Palantir. McCardel also discusses the (hopefully) novel experience of growing an early-stage startup during a pandemic.

Datalogue co-founder and CEO Tim Delisle discusses how his company is trying to remake data integration for large enterprises, by taking advantage of Kubernetes, good UX, and a focus on performance and security. Delisle also shares his take on why the big data movement might have missed the boat.

Spring Health co-founder and chief product officer Adam Chekroud explains his company's platform for helping employer's offer quality mental health care to their employees. Chekroud, who's professionally trained in the field, also discusses how employers can do more to encourage mental health, how social media can affect mental health, and how COVID-19 and recent civil rights movements are causing effects both good and bad.

The Architecht Show returns (!) with Replicated co-founder and CEO Grant Miller talking about how his company is enabling KOTS, or Kubernetes-Off-the-Shelf software. We dive into a number of topics around this, including the pitfalls of relying too heavily on SaaS, the popularity of Kubernetes itself, and how laws like Europe's GDPR are forcing companies to rethink how and where they manage user data.

In this episode of the ARCHITECHT Show, Apptio CEO Sunny Gupta explains the economics of cloud computing and IT, in general -- based on what he's seeing from Apptio's large collection of enterprise users. While cloud spending is still relatively low as a piece of the overall pie, it's increasing fast as a result of SaaS adoption, and trends such as digital transformation and even artificial intelligence. Aside from sheer usage, Gupta also discusses the effects of complexity on IT budgets, as companies struggle to figure out how efficiently they're utilizing services and get control of zombie or credit-card subscriptions.

In this episode of the ARCHITECHT Show, Jean-Michel Franco, a product marketing director at data-integration vendor Talend, joins host Derrick Harris to talk about the European Union's General Data Protection Regulation. Franco and Harris discuss the controversial data-privacy law, which was enacted in May 2018, and how enterprises are dealing with its requirements around data usage, locality and security. 

In this episode of the ARCHITECHT Show, Kelsey Hightower -- Google staff engineer, senior developer advocate and all-around cloud-native superstar -- talks about his journey into cloud-native computing techniques and how he uses what he's learned to help companies make the right decisions for their needs. Among many other topics, Hightower gives his thoughts on open source startups, Kubernetes, serverless computing, and the importance of spending time with technologies (even competitive ones) before offering opinions on them.

In this episode of the ARCHITECHT Show, Diffbot CEO Mike Tung talks all about the value, workings and business of knowledge graphs, and how Diffbot grew its graph to around 1 trillion interconnected facts. Knowledge graphs are critical to many aspects of our digital lives -- including smart assistants and web web search -- and have value across industries ranging from retail to intelligence. Tung also explains the relationship between knowledge graphs and AI, and why crawling and structuring the web's countless facts is a compute-intensive job.

In this episode of the ARCHITECHT Show, Malong Technologies CTO Matt Scott discusses a wide range of artificial intelligence issues, including AI adoption in China and whether the AI talent crunch (and associated sky-high salaries) is a long-term thing. Primarily, though, Scott talks about his company's work on weakly supervised learning, which is helping it not only win computer vision contests, but also scale its computer vision products more easily across customers and industries.