written by Smita PalveDecember 4, 2025 If you are leading an enterprise in 2025, you have probably noticed one recurring theme across every strategic meeting: AI is no longer optional. It’s shaping customer expectations, operational efficiency, and even competitive advantage. But with hundreds of solutions positioning themselves as the best AI chatbot, it’s become harder, not
written by Smita PalveNovember 28, 2025 If you’ve been following technology trends, you’ve probably noticed a big shift happening in AI, especially AI in healthcare. We have seen AI help with clinical documentation, predict disease risk, and automate administrative tasks. And generative AI, in particular, has made it easier than ever to draft notes, summarize visits,
written by Smita PalveNovember 19, 2025 In 2025, digital transformation will just be one part of the equation. While most organizations would have likely digitized their workflows, modernized their infrastructure, and begun some initial automation of their processes, the majority of organizations would have still not significantly “intelligentized” their workflows. This is the prayer beginning of
written by Smita PalveNovember 12, 2025 In 2025, the discussion on AI does not solely center around deploying a model here or there; it is about developing an ecosystem. This is an example of orchestration, establishing a conductor for your enterprise AI “orchestra.” By doing this you’ll be aligning your models, systems, data, and workflows to
written by Smita PalveOctober 31, 2025 Agentic AI signifies a significant advance in artificial intelligence, from predicting outcomes to acting on them. Rather than waiting for the human to engage or follow a preset workflow, these new AI systems can reason, plan, and make decisions once they have set up a model around a goal. Organizations
written by Smita PalveOctober 30, 2025 Artificial intelligence (AI) has advanced well beyond rule-based automation into adaptive decision-making systems, which are capable of sensing, reasoning, and acting independently. Central to this progression is the intelligent agent, a digital entity that can sense the environment, make meaning of the data, and take thoughtful actions to achieve desired
written by Smita PalveOctober 24, 2025 Artificial intelligence (AI) continues to evolve, and the field of agents is developing with knowledge-based agents taking the lead. Think of knowledge-based agents as the detectives of the AI world, who have access to an organized bank of information from their knowledge bases. These agents react, logically reason, infer and
written by Smita PalveOctober 17, 2025 There are a few core types of artificial intelligence agents, each with their own capabilities and relevance for businesses. These agents are the “doers” in AI, meaning they are autonomous agents that interact with their environment, make decisions, and complete tasks with minimal (or no) human cognition or involvement .
written by Smita PalveOctober 16, 2025 Artificial Intelligence (AI) has progressed from basic, rule-based systems to more complicated, deep learning systems and now to agentic AI that acts autonomously in dynamic contexts. For purposes of understanding this evolution, it is useful to consider a rational agent in AI, who is able to perceive its environment, reason
written by Smita PalveOctober 8, 2025 AI extends beyond chatbots and predictive models. We are approaching a new phase of AI agents, smart systems that perceive their environment, make decisions, and act autonomously. In organizations, AI agents will automate workflows, provide real-time insights, and augment human teams in ways we can’t yet imagine. Many organizations are
