Google Brings Agentic Video Understanding to Gemini
Google is giving Gemini a more intelligent way to watch and understand video. On September 1, 2026, Google introduced agentic video understanding, a new capability that allows Gemini models to actively navigate video content instead of processing it using a fixed approach. The technology is available across Gemini 3.7 Flash, Gemini 3.6 Flash, and Gemini …
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Google Introduces Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber
As organizations move from experimenting with artificial intelligence to deploying it across real business processes, the requirements for AI models are changing. Intelligence alone is no longer enough. Production AI agents must also respond quickly, operate reliably and complete tasks without consuming unnecessary computing resources. Google is addressing these requirements with three new additions to …
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Google I/O 2026: Google Moves Into the Agentic Gemini Era
Google I/O 2026 marked one of the most important moments in Google’s AI journey. The event was not only about new product updates or model improvements. It showed how Google is moving toward a deeper, more connected AI ecosystem where Gemini is becoming the intelligence layer across Search, Workspace, Android, Chrome, YouTube, developer tools, creative …
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Gemini Enterprise and Agent Platform: CEO Insights from Google Cloud Next 2026
At Google Cloud Next 2026, CEO Thomas Kurian’s message was clear: the future of enterprise AI is no longer about isolated tools or experimental pilots. It is about building an Agentic Enterprise, an organization where AI does not simply assist people, but works alongside them to automate tasks, connect systems, strengthen decisions, and accelerate growth. …
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Building Zoom Bots That People Don’t Hate: UX Patterns for In-Meeting Assistance
Zoom bots (or any in-meeting assistant) are one of those ideas that sound brilliant on paper: capture notes automatically, pull up context mid-call, summarize action items, and keep meetings moving. In practice, many of them fail for one simple reason, they behave like an uninvited participant. They interrupt, they overshare, they misunderstand the moment, or …
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SOC 2 Meets Automation: Controls You Need Before You Roll Out Agents Company-Wide
AI agents are quickly moving from “helpful pilot” to “default workflow” across entire organisations. Once agents can read internal knowledge, draft customer responses, update records, or trigger automations, they stop being a novelty and start becoming part of your operating system. That’s exactly where SOC 2 becomes relevant. Compliance isn’t about slowing teams down, it’s …
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Prompt Injection Is an Operations Problem: Defenses That Actually Work
Prompt injection isn’t just a clever “gotcha” buried in a user message. It’s a predictable failure mode that shows up when an AI system is connected to tools, data, and workflows that were never designed with adversarial inputs in mind. If your LLM can browse, retrieve documents, call APIs, or trigger automations, then your risk …
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Enterprise Agent Memory in 2026: What to Keep, What to Avoid (Google ADK + Gemini)
“Agent memory” is becoming a standard requirement for enterprise AI agents. Business users want an assistant that remembers preferences, ongoing tasks, and prior decisions so work feels continuous instead of repetitive. Risk and compliance teams hear the same phrase and worry about uncontrolled retention, exposure of sensitive data, and behaviors that drift over time. In …
Fine-tuning Gemini to fit business needs
Introduction Fine-tuning Gemini involves customizing a pre-trained model to better suit specific tasks or domains. This process leverages the vast amount of general knowledge the model has already acquired during its initial training on diverse datasets. Fine-tuning allows the model to adjust its parameters and learn from a smaller, more specific dataset that is relevant …
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