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 must be tailored to your unique processes, data, and goals. Join Scott King, Chris Kraus, and John Michel…

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. Discover the key capabilities that set agentic AI apart, including low-code configuration, robust security…

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 LLMs leads to slow, manual workflows. Learn how true automation requires orchestration across systems and pr…

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 data and unforeseen questions. Listen in as they discuss how flexible, context-driven Natural Language Proces…

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—especially when dealing with unstructured content like diverse invoice formats and sales orders. Discover how…

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 data, and how AI can integrate dynamic systems to provide instant, accurate responses. We also discuss use ca…

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 businesses extract insights, automate workflows, and manage unstructured data more effectively. They discuss: Three key do…

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 the integration of AI, the skills gap, and the need for enhanced civility. AI Integration in HR: A Hot Topi…

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 everyday challenges?" Chris Kraus and I discuss several HR-specific AI and automation applications, offering prac…

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. This could include anything an employee can access: financial reports, trade secrets, customer data in text, do…

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 this podcast, we explore a specific threat—LLM jailbreaking—and offer guidance on how to protect your gene…

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 and updates being released frequently. This means that the frameworks, behaviors, and APIs used to intera…

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 governance. Focus on time savings for overworked teams: A major draw of AI is automating repetitive tasks and finding pain points.…

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, and software development. However, AI copilots assist one person with one task at a time. They improve pers…

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 about responses from a recent poll among approximately 1,000 risk management professionals. We reviewed the questions a…

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 explain what RAG is, how it functions, its impact on AI’s performance, and the challenges it helps overcom…

2024 AI Predictions What 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 diverse sources to analyze and merge a myriad of predictions to provide a consolidated overview. This article cuts through the noise, delive…

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 organizations. Traditionally, the information security department carried this burden, but recent events like Cov…

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 adoption is not without its apprehensions. Your concerns about unknown outcomes and hallucinations are valid bu…

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. But, the answers and the knowledge delivered to them via the public interfaces aren't always correct. Our…

Generative AI vs Predictors and Categorizers Generative 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 significantly more value, particularly in enterprise settings. But, these capabilities aren't new; they have been around for…

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. Discover how AI can read vendor documentation, complete assessments, identify risk outliers, and provide comprehe…

The Pressing Demand for Generative AI in Enterprise Generative AI (GenAI) is promising unparalleled advancements and efficiencies for many types of use cases. Boards and CEOs continue to experiment with the technology and imagine how it can improve workforces and increase throughput. The Wall Street Journal highlights how CEOs are pressuring CIOs a…

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 Netflix offering compensation packages as high as $900,000 for AI Product Managers, the perceived value o…

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 various LLMs, you are essentially comparing their ability to answer different types of questions, their perfo…

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 refining prompts. Their variable performance for different use cases reveals the critical need for consistent t…

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 ensure their generated content aligns more closely with reality. Storytellers on the other hand don't requi…

In this episode of The Union podcast, Chris and I review McKinsey &Co.'s "The state of AI in 2023: Generative AI’s breakout year," exploring its impact on various industries and job functions and how it's shaping the future of work. How High Performers Achieve Results with Generative AI McKinsey's report summarizes 1684 survey responses and highlig…

Companies evaluating AI want the most accurate machine learning models (ML) to predict or summarize business outcomes. However, many times achieving high levels of accuracy and confidence inflates expenses and erodes value versus adding to it. In this episode, Luther Birdzell and Scott King discuss what is and what is not AI, evaluating ML model ac…

Embracing Predictive Analytics in Decision-Making In this episode of The Union Chris and I discuss predictive analytics and how to use it to help you make better decisions. We explored how advanced analytics can help business process owners and IT professionals boost their decision-making prowess. The most important topic in this episode is using m…

There's a lot of AI buzz and businesses everywhere are feeling the pressure to integrate this exciting technology. However, amidst all the hype, there's a need to clarify a few things. First off, AI isn't a panacea for all business woes. It needs a foundation of sound data and processes to be effective and it's intended to assist rather than replac…

Generative AI is transforming how data and content are generated in many types of use cases. Its ability to quickly summarize data and enable people to interact with systems in a conversational manner is redefining what work is and the value associated with it. In a recent conversation with Chris Kraus, we reviewed McKinsey & Co.'s, "The economic p…

Artificial intelligence (AI) has an immeasurable impact on various industries, from finance to healthcare to customer service. It can automate repetitive tasks, derive insights from massive data sets, and even help manage and govern data. However, effectively governing AI data requires a well-thought-out strategy and proper implementation. Chris Kr…

Generative AI possesses great abilities to craft impressive content. Its capacities in generating text, photos, and videos, and engaging in conversational interactions are remarkable, yet they represent only one step in a customer's or employee's quest to complete a process. Imagine a customer reaching out to an organization for assistance. Generat…

Implementing generative AI or any other form of AI within a business framework demands more than mere installation. Businesses need to be confident that their data remains secure and that there are role-based administrative procedures present in managing the least privilege. The AI should be capable of synchronizing with current systems in real-tim…

More at krista.aiBy Krista

Orchestration is a complex process that involves multiple steps to successfully deploy and update software features for customers. It requires communication with customers, training them appropriately, automating deployment and production processes, and continuously monitoring the progress of the project. By focusing on exceptions and updating auto…

Enterprise uses for artificial intelligence continue to expand. Companies are now using AI to automate processes in customer service, human resources, IT, and supply chain to make more informed decisions to improve profits and customer service. But, is AI necessary? Companies like Krista, IBM, and your competitors think so. I recently had a convers…

Evaluating artificial intelligence (AI) products can sometimes be confusing. New AI products appear every day and are challenging to determine which products are truly powered by AI and which are veneers on top of the latest generative AI. The AI hype caused the US Federal Trade Commission (FTC) to issue a warning to software vendors to "Keep your …

Third-party supply chain risk is a significant concern for many organizations in today's global economy. This risk arises when a company relies on third-party suppliers for goods or services, and it can manifest in several ways, including financial, legal, reputational, and operational risks. Companies measure third-party supply chain risk using va…

As businesses become increasingly reliant on third-party vendors for IT services, it is important to understand and manage the potential risks associated with this type of relationship. A misstep in managing these relationships can have significant consequences, including loss of data or access, financial losses due to downtime or disruptions in se…

The Wall Street Journal recently published "Pressure Mounts on CIOs to Build More AI Apps," stating ChatGPT's popularity is causing business leaders to ask for more AI apps. The demand is so high chief information officers say they cannot keep up since building, training and rolling out AI models is so expensive and takes too much time. In this epi…

As technology evolves and we enable AI to make more decisions for us we need to be confident it’s leading us in the right direction. Automated systems are increasingly being for all types of use cases in HR, sales, IT, and cybersecurity to speed up business and provide better services. However, while AI-assisted answers can be incredibly helpful, i…

AI-driven business processes are becoming increasingly popular, as they can increase business velocity. Using AI to respond to email and omnichannel messages allows businesses to respond quickly and efficiently while providing a higher level of customer service. However, AI by itself is not always the answer since there are two paths you can take w…

ChatGPT is a revolutionary new language processing technology that has revolutionized how artificial intelligence can interact with people. Developed by OpenAI, ChatGPT uses natural language processing techniques to allow AI agents to engage in conversation with users in a more human-like way. But, generative AI like this eases one step in a busine…

Key Points Innovation requires change and businesses need abilities to respond quickly Most application and automation changes are brittle and require an SDLC every time a change is made Allowing businesses to configure rules outside of integration technology increases their responsiveness and velocity Low-code platforms cause testable events Low-c…

Enterprise IT is increasingly complex Skilled IT staff is scarce and overworked Complex workflows overwhelm your people Complexity is the enemy of productivity Your IT group is increasing complexity, not reducing it. But, it’s not their fault. Companies contain a myriad of departments and divisions, all with their own specialized teams of workers. …

In this episode, Chris Kraus and Scott King discuss the importance of using conversational AI to improve customer and employee interactions. We note that businesses must utilize context in digital conversations just like humans communicate. Remembering context enables digital conversations to be more like conversations we have with friends, family,…

Digital transformation is the process of taking legacy systems and modernizing them to take advantage of current technologies and methods. Companies need to think differently when it comes to creating digital products and services, as well as how they will train users on those products. To ensure successful adoption, companies must focus not only o…

Robotic process automation (RPA) is undoubtedly one of the most disruptive technologies in recent years, but what is the future of RPA? Enterprises all over the world have implemented RPA, bots, or digital workers to take stable rule-based processes from workers and hand them over to software. It has created billions of dollars of labor cost saving…