The recent Gartner article on Generative AI (GenAI) entering the “trough of disillusionment” marks a pivotal moment for technology leaders. As the initial rush to adopt GenAI begins to cool, we are presented with a valuable opportunity to focus on the groundwork necessary for sustainable AI adoption.
As organizations race to leverage AI, many are finding that the biggest challenge is managing the “shadow AI” implementations that often occur outside the formal oversight of IT and risk management. These unseen, unsanctioned uses of AI can lead to a lack of awareness and control, resulting in potential risks that could undermine the very…
As we move into an era of AI-assisted decision making, the adage “garbage in, garbage out” has never been more relevant. Yet, the traditional approach of exhaustively cleaning data before leveraging it is becoming obsolete.
Incomplete or inaccurate data fed into AI systems reveals valuable insights. When AI produces suboptimal responses, it can effectively highlight…
In the rush to adopt AI, many organizations overlook a critical opportunity: using AI to integrate their enterprise infrastructure. This approach can not only prepare you for broader AI adoption but can also streamline your existing systems.
As we embrace AI, it’s crucial to remember that architecture strategy has always been the backbone of successful tech infrastructure. Adding AI is no different – it’s an evolution of our existing approaches, not a complete overhaul.
Our transition from on-premise data centers to cloud adoption offers valuable lessons. We must apply this knowledge as…
Many businesses see AI agents as tools to automate existing processes, but this approach limits their potential. It’s like strapping a jet engine onto a horse-drawn carriage. The carriage moves faster, but it is still following the same old path. The real value of AI agents isn’t in making outdated systems more efficient, but in…
