Customer communications are under pressure – especially in highly regulated industries like financial services, insurance, utilities, and telecom. If you’re a leader in this space, you already...
If you’re leading any kind of AI initiative right now, you already know the opportunities are vast – but so is the complexity. Between widespread generative AI adoption, a wide variety of LLM...
Large Language Models (LLMs) became popular after the release of ChatGPT two years ago. The idea of chatting with an AI through a browser significantly reduced the technical barriers, making LLMs the...
Key Takeaways: Only 12% of organizations report their data is of sufficient quality and accessibility for AI. Data analysis (57%) is the top-cited reason organizations are considering the use of AI....
Key Takeaways: Trusted AI requires data integrity. For AI-ready data, focus on comprehensive data integration, data quality and governance, and data enrichment. A structured, business-first approach...
Key Takeaways: Data integrity is essential for AI success and reliability – helping you prevent harmful biases and inaccuracies in AI models. Robust data governance for AI ensures data privacy,...
AI transforms how we interact with technology, make decisions, and solve complex problems. It has been at the heart of many innovations over the past two years, powering everything from the chatbots...
Artificial intelligence (AI) has many applications, ranging from software products to appliances to cars and everything in between. AI has already made significant advancements in software – with...
