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...

Most third-party risk lifecycles adhere to a similar pattern: planning, due diligence, contract negotiations, ongoing monitoring, and termination. However, the management and responsibility of these processes differ significantly across organiz...

Embracing technological change via automation and artificial intelligence (AI) is no longer optional; it's a necessity. Delaying AI use in your company can hinder progress and put you farther behind your competitors. However, embracing AI adopt...

Generative AI (GenAI) is influencing nearly all processes in our businesses and none so much as knowledge management. Employees want a better experience and they have found by already experimenting with GenAI; ask a question, and get an answer....

Generative AI vs Predictors and CategorizersGenerative AI is hot and has ignited our imaginations. However, it's important to highlight that there are other AI capabilities, like predictors and categorizers, that can produce signi...

Explore how AI orchestration is revolutionizing Third-Party Risk Management (TPRM). Learn how combining AI technologies, like document understanding, NLP, and generative AI, with process orchestration improves risk management practices. Discove...

The Pressing Demand for Generative AI in EnterpriseGenerative AI (GenAI) is promising unparalleled advancements and efficiencies for many types of use cases.  Boards and CEOs continue to experiment with the technology and ima...

In an era where Artificial Intelligence (AI) is transforming business processes, companies face a significant dilemma: whether to hire expensive AI specialists or pivot towards more cost-effective and scalable options. With industry giants like...

Different LLMs have varying strengths and weaknesses. Understanding the strengths and weaknesses of different language models is crucial, as it allows you to select the most efficient tool for your specific needs. When you evaluate and test var...

The prompt engineer. Do you need one? Can you train your people to generate prompts? Can this be automated? Well, it depends.LLMs, like BARD, OpenAI GPT-3.5 and 4, Llama, or Flan, require a diligent and persistent approach to testing and...

To effectively limit LLM hallucinations, you need to treat LLMs more like journalists instead of storytellers. Journalists weave stories using factual, real-time information. Similarly, you need to feed your LLMs with real-time information to e...