Tired of meeting recordings that lead nowhere? We explore why summaries and tasks aren’t enough for operations executives seeking real enterprise knowledge. It’s more than recordings—it’s about weaving in emails, Teams chats, CRM data, and docu...

In this episode, we break down the Model Context Protocol (MCP) — what it is, how it works, and why it’s generating so much hype in the AI world.But beyond the headlines, we explore the real enterprise implications. Is MCP secure? Can i...

Should AI agents really cost $20,000 per month? In this episode, we break down OpenAI’s reported pricing for specialized AI agents and why many companies will try (and fail) to build their own.🔍 What’s Inside:✅ The hidden costs ...

Are AI agents the future of business—or just overhyped digital teenagers? In this episode, we break down why today’s AI agents promise big but need serious guidance to deliver. Think of them as teens on their first job: full of potential, but n...

Are AI agents a security risk or a security enhancement? In this episode, John Michelsen breaks down the biggest concerns enterprises have about AI-driven automation. We discuss data privacy, internal and external threats, compliance, and how A...

The explosion of AI agents is transforming enterprise workflows, but it’s not without challenges. From integration hurdles to operational silos, businesses struggle to navigate the crowded ecosystem of hundreds and eventually thousands of agent...

In a world where technology evolves faster than ever, you don’t have to know your exact future to thrive—you just need to be on the path to it. This video explores how AI is reshaping industries, redefining work, and accelerating innovation in ...

In this episode of The Union Podcast, Scott King and Chris Kraus review AI prompting guides from Microsoft, OpenAI, and Google. They discuss the challenges of crafting effective prompts, the limitations of teaching prompt engineering to everyon...

AI is no longer optional—it’s a competitive necessity. But what does it take to implement AI effectively for your business? In this episode, we break down why half of the AI you need is readily available in generative models, but the other half...

Agentic platforms are essential for AI-driven automation. Join John Michelsen and Chris Kraus as they discuss how agentic platforms empower organizations by enabling autonomous AI agents to perform complex tasks and make intelligent decisions. ...

Are large language models (LLMs) like ChatGPT truly automating work? John Michelsen unpacks the misconception that LLMs alone can drive business transformation. Join us as Michelsen shares real-world examples, revealing why relying solely on LL...

In this episode, we John Michelsen and Chris Kraus explain the limitations of traditional document processing methods like Intelligent Document Processing (IDP) and Optical Character Recognition (OCR) and how they struggle with unstructured dat...

AI is redefining document processing, moving beyond the limitations of traditional methods like Intelligent Document Processing (IDP) and Optical Character Recognition (OCR). As business demands become more complex, old solutions fall short—esp...

In this episode, we explain how AI-powered solutions like Krista are transforming the way businesses answer unforeseen questions. Join us as we explore the challenges of handling unknown inquiries in complex workflows, the role of real-time dat...

In this episode of The Union Podcast, we discuss how AI is revolutionizing document understanding and business operations. Join hosts Scott King, Chris Kraus, and John Michelsen as they explore real-world AI use cases that help busines...

Michael Haske, CEO of Krista, shares his experiences and insights from attending the SHRM 24 conference. The event, which brought together HR professionals from around the globe, focused on major transformations in the workplace, particularly t...

Human resources are undergoing a significant transformation, thanks to advancements in AI and automation. Traditionally manual HR processes work, but many HR professionals wonder, "How can AI and automation technologies be applied to my everyda...

While LLMs offer undeniable benefits, integrating them into the workplace poses significant risks to company data. Here’s why:Data Leakage: It’s easy for employees to paste confidential company information into LLM prompts inadvertently...

Generative AI, with its ability to produce human-quality text, translate languages, and write different kinds of creative content, is changing the way people work. But just like any powerful technology, it's not without its vulnerabilities. In ...

Building your own GenAI system and app requires a deep understanding of the rapidly evolving technology and the complexities involved. It is not as simple as building traditional web or mobile apps. GenAI is constantly changing, with new models...

Key Takeaways AI skepticism remains a hurdle: While interest in AI is high, doubts about accuracy, safety, and trust persist. This emphasizes the need for accurate, transparent, explainable AI models with validation and governa...

AI copilots are generative AI engines that assist users in point tasks such as writing emails, summarizing customer cases, and generating code. AI copilots can be used in a variety of business functions, including marketing, customer service, a...

In Third-Party Risk Management (TPRM), adopting Artificial Intelligence (AI) presents both an opportunity and a dilemma. One, if you should use AI, and second, for what tasks. I talked with TPRM experts Sam Abadir and Tom Garrubba...

Retrieval augmented generation (RAG) is revolutionizing AI by infusing language models with timely and relevant external data. This technique is pivotal in delivering not just intelligent but informed AI responses. In this podcast, Chris and I ...

2024 AI PredictionsWhat does the internet say about AI?What do the AI pundits think will happen?We were curious, too.In our quest to understand what was being predicted for AI in 2024, we reviewed a set of div...