Info-Tech Research Group

OpenAI shelved its next frontier model this week. GPT-6.1 Astra was due in October, but OpenAI said the model didn't meet the bar for staying within scope and authorization. The next day, DevDay put always-on agents called dots in front of paying customers. Google unveiled Gemini 4 Argon and is releasing it to vetted cyber defenders first while US government prerelease evaluations run.

Author(s): Hotels have long relied on OTAs, metasearch, and their own websites to drive direct bookings, but conversational AI now lets guests search, compare, and book in natural language across AI-powered platforms.

Access this content by contacting one of our representatives for assistance. Author(s): This tool will help you learn all about your OT integration points, properly protect them to ensure governance with OT standards, and reduce risk from security breaches.

Access this content by contacting one of our representatives for assistance. Author(s): The IT Request Discovery Tool is the working engine behind the methodology. As requests arrive from executives and business units, teams capture each one in a single intake register, assign it to the affected capability, and document the specific operational pain it creates.

Speak With A Representative Company Phone Job Role Job Title Access this content by contacting one of our representatives for assistance. Author(s): This storyboard helps transportation security leaders identify and govern the OT integration points that exist between operators, vendors, and partners, where accountability is often unclear and risk is highest.

AI is layered on business processes never designed for autonomous machine execution at operational scale. Processes are manual, non-linear, and riddled with undocumented exceptions. Institutional knowledge lives in people, not in systems. As a result, agents hit exceptions they can't handle, producing failed outputs, manual overrides, and silent errors. Our Advice AI doesn't clear process debt; it amplifies every flaw at automated scale, turning isolated failures into systemic outcomes.

Access this content by contacting one of our representatives for assistance. Author(s): Simplify the reasoning and outcomes of these exercises to gain what you need from the executive team to ensure the integration points remain secure.

As companies build more AI agents, the challenge is governing them and giving them enough work context to be useful. Asana is betting that its Work Graph can provide that context by connecting agents to goals, ownership, history, approvals, and dependencies. Its StackAI acquisition extends the strategy beyond Asana into other enterprise systems. CIOs should test adoption depth, governance controls, integration maturity, competitive overlap, and measurable value before buying into Asana’s vision.

Author(s): Sponsorships in sports organizations have evolved from traditional brand placement and media rights into core technology arrangements that touch venue infrastructure, payments, cloud platforms, and fan-facing systems. Commercial partnerships still originate as marketing transactions built around rights, entitlements, and exclusivity, but sponsor-funded technologies change what these contracts contain without changing when IT is brought into the process.

Author(s): Use this guide to: Explore Five9’s Intelligent CX Platform, Genius AI capabilities, and applications across contact center functions. Compare Five9’s strengths and limitations across key dimensions of the Vendor Capability Radar. Use SoftwareReviews data and customer feedback to understand the experience of working with Five9.