Are dashboards becoming irrelevant in the age of Agentic AI? I recently sat down with Clarence Rozario from Zoho on The Ravit Show for an in-depth conversation on one of the biggest shifts happening in Data & AI right now: Agentic Analytics!!!! For years, business intelligence has focused on helping people understand what happened. Now we're entering a new era where analytics can help recommend actions, support decisions, and even automate parts of business workflows. In this conversation, we explored: * How BI has evolved from reporting and dashboards to Agentic Analytics * Why enterprises are shifting from insights to outcomes * Whether dashboards still have a role in the AI era * How Agentic AI is changing decision-making inside organizations * Why Context Engineering may become one of the most important capabilities for enterprise AI * The growing importance of semantic layers, business context, and trusted data foundations * Why Data & Analytics platforms must evolve to support agentic systems One theme stood out throughout our discussion: AI is only as good as the context and data foundation behind it. Without the trusted business context, even the smartest agents will struggle to deliver reliable decisions. What role do you think dashboards will play in a world increasingly driven by AI agents? #data #ai #agentic #ai #dashboards #api #semanticlayer #theravitshow

Are dashboards becoming irrelevant in the age of Agentic AI? I recently sat down with Clarence Rozario from Zoho on The Ravit Show for an in-depth conversation on one of the biggest shifts happening in Data & AI right now: Agentic Analytics!!!! For years, business intelligence has focused on helping people understand what happened. Now we're entering a new era where analytics can help recommend actions, support decisions, and even automate parts of business workflows. In this conversation, we explored: * How BI has evolved from reporting and dashboards to Agentic Analytics * Why enterprises are shifting from insights to outcomes * Whether dashboards still have a role in the AI era * How Agentic AI is changing decision-making inside organizations * Why Context Engineering may become one of the most important capabilities for enterprise AI * The growing importance of semantic layers, business context, and trusted data foundations * Why Data & Analytics platforms must evolve to support agentic systems One theme stood out throughout our discussion: AI is only as good as the context and data foundation behind it. Without the trusted business context, even the smartest agents will struggle to deliver reliable decisions. What role do you think dashboards will play in a world increasingly driven by AI agents? #data #ai #agentic #ai #dashboards #api #semanticlayer #theravitshow