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Recent blogs

How to Make LLMs HIPAA-Compliant
How to Make LLMs HIPAA-Compliant

How Enterprise AI Can Achieve HIPAA Compliance

Key Takeaways The healthcare industry stands at a critical inflection point.  The problem?  Enterprise AI is accelerating fast, but HIPAA wasn’t built for this. Predictive models, LLMs, and NLP systems are now embedded across healthcare workflows, yet the regulatory scaffolding hasn’t caught up. As a result, many health systems are deploying Enterprise AI without the…
Healthcare
What Happens When Clinical Judgment Meets Predictive Infrastructure
What Happens When Clinical Judgment Meets Predictive Infrastructure

What Happens When Clinical Judgment Meets Predictive Infrastructure

Key Takeaways What if prior authorization actually enabled better care—faster? It was supposed to. Prior authorization (PA) began as a clinical safeguard—a way to protect patients from unnecessary procedures and keep healthcare costs in check. But somewhere along the line, it stopped being a guardrail and became a wall. Today, it’s a system powered by…
Healthcare
Why Fraud Detection Fails Without Enterprise AI Governance—and What to Do About It
Why Fraud Detection Fails Without Enterprise AI Governance—and What to Do About It

Enterprise AI Fraud Detection: Why Governance Is the Missing Piece

Key Takeaways Healthcare fraud drains more than $7 billion annually from the U.S. system. And while payers continue investing in detection tools, many are still anchored to systems built for yesterday’s problems. Legacy frameworks flag what they’re told to flag—but fraud no longer plays by those rules. Synthetic IDs, fabricated patient histories, and provider collusion…
Healthcare

BROWSE ALL BLOGS

  • How to Make LLMs HIPAA-Compliant
    How to Make LLMs HIPAA-Compliant

    How Enterprise AI Can Achieve HIPAA Compliance

    Key Takeaways The healthcare industry stands at a critical inflection point.  The problem?  Enterprise AI is accelerating fast, but HIPAA wasn’t built for this. Predictive models, LLMs, and NLP systems are now embedded across healthcare workflows, yet the regulatory scaffolding hasn’t caught up. As a result, many health systems are deploying Enterprise AI without the…
    Healthcare
    What Happens When Clinical Judgment Meets Predictive Infrastructure
    What Happens When Clinical Judgment Meets Predictive Infrastructure

    What Happens When Clinical Judgment Meets Predictive Infrastructure

    Key Takeaways What if prior authorization actually enabled better care—faster? It was supposed to. Prior authorization (PA) began as a clinical safeguard—a way to protect patients from unnecessary procedures and keep healthcare costs in check. But somewhere along the line, it stopped being a guardrail and became a wall. Today, it’s a system powered by…
    Healthcare
    Why Fraud Detection Fails Without Enterprise AI Governance—and What to Do About It
    Why Fraud Detection Fails Without Enterprise AI Governance—and What to Do About It

    Enterprise AI Fraud Detection: Why Governance Is the Missing Piece

    Key Takeaways Healthcare fraud drains more than $7 billion annually from the U.S. system. And while payers continue investing in detection tools, many are still anchored to systems built for yesterday’s problems. Legacy frameworks flag what they’re told to flag—but fraud no longer plays by those rules. Synthetic IDs, fabricated patient histories, and provider collusion…
    Healthcare
    The Future of Healthcare Fraud Detection: Enterprise AI Systems Explained
    The Future of Healthcare Fraud Detection: Enterprise AI Systems Explained

    How Enterprise AI is Transforming Healthcare Fraud Detection

    Key Takeaways Most healthcare payers aren’t short on models. They’re short on control. Predictive fraud scoring, document analysis with LLMs, even anomaly detection pipelines — they’re all in play. But ask any enterprise team what’s actually working, and the answer gets murky. False positives are climbing. Investigators are overwhelmed. And worse—fraud networks are getting smarter,…
    Healthcare
    Stop Blaming AI: Why Bad Data Is Holding Your LLMs Back
    Stop Blaming AI: Why Bad Data Is Holding Your LLMs Back

    Stop Blaming AI: Why Bad Data Is Holding Your LLMs Back

    Generative AI models like LLMs are powerful tools, capable of delivering groundbreaking insights—if they’re given the right inputs. But here’s the uncomfortable truth: most enterprises invest heavily in cutting-edge AI, only to watch it stumble because their data is messy, outdated, or incomplete. It’s like hiring a Michelin-star chef but supplying them with stale ingredients.…
    For enterprises, the question isn’t whether AI will transform their operations—it’s whether they’ll lead or lag behind.
    For enterprises, the question isn’t whether AI will transform their operations—it’s whether they’ll lead or lag behind.

    AI Disruption Unleashed: How Enterprises Can Dominate with LLMs and Generative AI

    For enterprises, the critical question is not 'if' but 'how' to integrate AI, LLMs, and Generative AI effectively into core operations to stay ahead of the competition. Moving beyond experimentation requires a bold strategy—one that challenges norms and redefines how AI can deliver value. Tech adoption follows a predictable path. Unleashing the disruptive power of…