With the cloud maturing rapidly into a center of gravity for data and functionality, most organizations recognize the need to optimize their information architecture, and redesign critical workflows. Cloud-native is the new standard, and it's just in time for leveraging the remarkable power of AI. How can this nexus of disciplines super-charge your organizational transformation?

Check out this inaugural episode of #theConnection to find out! Host @eric_kavanagh will interview esteemed cloud Analyst William McKnight, along with Matt McLarty, CTO, and Mike Bachman, Head of Architecture and AI Strategy, for Boomi.

Careful is as careful does! Never before has that truism carried more weight than today, as businesses all over the world look to leverage the remarkable power of Generative AI. Solutions like OpenAI's ChatGPT, Google's Bard and others are already revolutionizing how content is created, and the race is on to fine-tune models for individual organizations. But wait! There's likely some bad data hiding in your systems! With GenAI, the old rule of garbage in, garbage out is amplified. You don't want to train a model on bad data! What can you do about that? Check out this episode of InsideAnalysis to find out! Hosts @eric_kavanagh and Yves Mulkers will dive into the details. Also joining the show will be Lewis Wynne-Jones from ThinkData Works, a Canadian outfit with a unique approach to data virtualization and governance.

The thirst for analytics has never been greater, as organizations look to leverage vast troves of data to better understand their business, and their markets. But the scale of today's information landscape is so much greater than ever before, which puts tremendous strain on traditional solutions. What's an enterprise to do? One solution is a hyperscale data warehouse, designed from the ground up to embrace the scale and speed of modern business requirements. Learn more on this episode of InsideAnalysis as Host @eric_kavanagh interviews Ocient CEO Chris Gladwin and Krish Krishnan of Sixth Sense Advisors.

The GTM game today looks (almost) nothing like it did 10 years ago. The one-two punch of AI and Automation puts us all on a track to innovate or die. How are today's tech-focused organiztions adapting?

Check out this episode of InsideAnalysis to find out! Host @eric_kavanagh will interview Brett Hansen of Semarchy.

The dirty secret of Natural Language Processing (NLP) is that data science teams must still build artisanal, one-off data connectors and preprocessing pipelines manually, which takes extensive time and significant effort. This is a serious bottleneck which inhibits time to value, and ultimately blunts the potential impact of expensive Ai projects. What if that process could be automated, such that vast amounts of unstructured data could be quickly ingested, dynamically cleansed, then loaded into a Large Language Model? Like ETL for LLM? That's what the folks at Unstructured.io have built. Learn more by checking out this episode of InsideAnalysis! Host @eric_kavanagh will interview CEO Brian Raymond about connecting the worlds of structured and unstructured data.

The business world knows that digital transformation must happen. It's not a question of whether, but how. One company that took a unique approach is Mendix, which created a visual programming language to enable business and IT leaders to collaborate directly on redesigning critical business processes. Learn how on this episode of InsideAnalysis as Host @eric_kavanagh interviews VP Sheryl Koenigsberg.

You’ve surely heard about Large Language Models by now, so-called LLMs such as OpenAI’s ChatGPT, Google’s Bard, Databricks’ Dolly or GitHub’s Co-Pilot. But how do they work, exactly? And what can you do with them?

Find out on this episode of InsideAnalysis as Host @eric_kavanagh interviews Mike Finley of AnswerRocket! They’ll get into the nuts and bolts of connecting LLMs to your traditional BI and Analytics program. 

What, exactly, is a data mesh? Google the concept and you'll find 20 software vendors sponsoring content to explain it to you. But they don't all agree! The innovators, Zhamak Dehghani and her team at NextData are working on it, but they're a small startup and the cat is way out of the bag now. What does that portend for end users everywhere?

Check out this episode of InsideAnalysis to find out! Host @eric_kavanagh interviews Yves Mulkers of 7wData, as they cover a wide spectrum of challenges and opportunities that now present themselves. They'll get into everything from AI to Data Catalogs, and also how LLMs could very well disrupt every aspect of information management, right down to data models!

The third major iteration of the Internet will be a far cry from the earliest days! That's especially true in terms of distribution. In many ways, Web 3.0 is all about the distributed Web. That's true already for storage, but some forward-looking innovators are working on the next major phase: compute!

Check out this episode of InsideAnalysis to hear Host @eric_kavanagh interview Stefaan Vervaet of Protocol Labs, and Peter Maddocks of Seagate Technologies.