Krista

Building an AI agent that effectively answers unforeseen questions presents several key challenges. 🌀 Hallucinations: AI can generate inaccurate answers, known as hallucinations. Robust quality control is essential to prevent this. 🔐 Security and Privacy: When handling sensitive company data, strict security and privacy protocols are non-negotiable. 🧑💼 Role-Based Access: AI must deliver answers based on the user’s role, ensuring only authorized individuals access confidential information. 📊 Real-Time Data Integration: Static documents won’t suffice. AI needs access to real-time data from dynamic systems to provide accurate, up-to-date answers. 📈 Data Strategy: You need a strategy that combines access to both static and live data while aligning with clear business goals. For the full explanation of how to assemble AI to answer any question, listen to the full episode linked in the first comment.

🚨 Claude’s Memory is NOT the Solution You Think It Is 🚨 There's a lot of buzz around AI models like Claude, with claims that its massive memory and context window eliminate the need for RAG (retrieval-augmented generation). The idea? You can just “shove everything into it” and access it repeatedly without the usual complexity. But here's the reality: this “cache everything” approach misses the mark. Claude may remember more, but it still lacks: ❌ Subject-specific understanding ❌ Time-sensitive context ❌ Authority and role-based awareness Sure, you can load a bunch of content and ask questions later. But without the ability to grasp the shape and meaning of the content, you'll miss out on what really matters. Context and security still matter. Don't fall for the hype.

Developers are all going to lose their jobs because AI is going to write a bunch of code. No, that’s not the future we’re heading towards. What AI is actually doing is helping clear out the backlogs of products and ideas that have been waiting to be built. It’s not about replacing developers; it’s about making them more productive. More software will be written, which will drive the economy forward and fuel even greater demand for new digital solutions. The value of each individual developer will only increase as AI does the heavy lifting. These developers aren’t getting paid less because of AI—they’re getting paid more. As we get better at leveraging AI, we don’t do less; we do more, and we do it better. This is the real future of AI. #AI #FutureOfWork #Productivity

AI isn't taking jobs, it's transforming them. I keep having the same conversation: "What happens when AI eliminates 50% of labor costs?" The answer? Companies like Exxon won't just sit on that extra profit. They’ll reinvest it in new projects, things they haven’t bought yet, and you know who’ll make those new things? People. AI runs the old, repetitive processes, but it’s humans who will build the future. It’s about evolving, not replacing. So, what will you build with the time AI saves? #AI #FutureOfWork #Innovation #Automation #Technology

Today’s businesses are drowning in data—HR policies, invoices, contracts, and more. Sorting through these documents manually is time-consuming and resource-intensive. But there’s a better way. In the latest episode of The Union, Scott, Chris, and John explore how AI is improving document understanding, helping organizations automate data extraction, streamline workflows, and unlock actionable insights. 🧠 Here’s what you’ll learn: 🚀 Why AI is more than just generative models like ChatGPT 🔍 Three key AI use cases for smarter document handling 📄 Real-world examples of AI speeding up tasks like invoice processing 🔧 How NLP powers automated workflows 🔐 The importance of data security and role-based access management If you’re ready to empower your team and eliminate inefficiencies in document handling, this episode is for you. #AI #DocumentUnderstanding #Automation #GenAI #NLP #DigitalTransformation https://hubs.li/Q02R3Rl80

'LLM hallucinations' - a flaw or a feature? John Michelsen explains how to enable your LLM as more of a journalist and less of a storyteller. https://hubs.li/Q02QWKl50 #generativeai #AI #LLM

What is the difference between fine-tuning an LLM and augmented generation? Discover the advantages of providing an LLM the answer via your data and systems vs. fine-tuning. #LLMs #AI #GenAI

5 Ways AI Can Improve Your Employee Experience Employees are the heart of any organization. But they can only be effective if they have access to the information they need, when they need it. AI-powered knowledge management assistants can help by: 1. Answering employee questions quickly and accurately 2. Providing personalized recommendations 3. Eliminating misinformation 4. Fostering trust 5. Reducing time spent searching for information #ai #genai #ml

Do you have privacy and security concerns when using LLMs and GenAI services? LLMs and GenAI are revolutionizing business operations. However, the promises of increased productivity and efficiency must not overshadow data security and privacy. Unrestricted access to LLMs, especially through free accounts, increases risks of data leakage, loss of ownership, and potential legal repercussions. Even with paid enterprise accounts, many still have concerns regarding data security and model training. Krista safeguards your company’s valuable information by isolating users from the LLMs. By providing a secure, isolated environment for LLM interaction, Krista empowers your organization to confidently embrace AI. Krista’s robust security measures and policy-based controls ensure that your data remains confidential, compliant, and under your control. Don’t let your company become a cautionary tale in the age of AI. Take proactive steps to protect your data, embrace innovation responsibly, and unlock the true potential of LLMs with Krista. Contact us today to discover how Krista can tailor a solution to meet your specific needs and ensure your company thrives in the AI-driven future. #LLM #ai #genai #security #privacy

While generic chatbots and AI copilots seem like quick solutions, they struggle with the complexity of organizational policies. They lack context and can’t provide accurate, personalized answers based on your company’s specifics. Generic chatbots and generative AI (GenAI) services like ChatGPT or Gemini deliver responses based on their training data (not your actual policies). They aren’t equipped to pull real-time information from your internal systems or understand the nuances of your organizational structure to answer employees contextually. This limitation leads to inaccurate or generalized answers that don’t fully meet your employees’ needs. Moreover, these tools often lack robust security features, which are critical when dealing with sensitive employee information. Without proper security controls, you risk exposing confidential data or providing access to unauthorized personnel, leading to compliance issues. To overcome these limitations, choose a solution specifically designed to handle the complexities of your organization’s policies and procedures. Krista simplifies the entire process and manages security and accuracy for each employee role.