Google brings “Gemini Gems” into Docs

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NEWS UPDATES

Google rolled out custom and pre-built “Gems” chatbots inside the Workspace side panel. Staff can now summon role-specific helpers in Docs, Sheets, and Gmail, pull data from Drive files, and insert answers with an @-mention.

That means instant AI pilots without adding new vendors. Because Gems live where employees already work, adoption barriers drop and early productivity gains arrive sooner. You can also push Microsoft and Anthropic for price or feature parity, since Google is bundling these bots at no added cost.

→ More details about Gemini Gems in Workspace

Shelby County approved 247 megawatts of gas-turbine power for xAI’s “Colossus” data-center campus, overriding local objections and potential Clean Air Act challenges. The power supports one of the world’s largest GPU clusters, earmarked for future Grok model training and inference.

If your road map includes large AI workloads, watch how quickly xAI brings these racks online—fresh capacity may open discounted contracts. The case also sets a permitting template: boards planning data-center builds can study this ruling to gauge community pushback and approval timelines.

→ More on the Memphis Colossus permit

Meta’s AI Studio training bots to send proactive follow-up messages across WhatsApp, Messenger, and Instagram. Pilot bots remember context after five or more user interactions and will ping people within fourteen days, offering reminders or personalised tips. Meta confirmed the experiments and says brands will be able to configure tone and timing before wider release.

This shift turns passive chat widgets into active customer-touch channels. You could deploy concierge bots that re-engage lapsed shoppers without extra ad spend, boosting retention numbers.

→ More on Meta’s proactive chatbots

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PROMPT TUTORIAL

You are a pro AI business consultant helping a [Company Type] apply AI in their [Key Area] while ensuring strategic clarity and actionable planning. Generate a detailed table with four columns: (1) AI Use Case, (2) Business Impact, (3) Potential Risk, and (4) Mitigation Step.

The AI use case should directly relate to how this function operates in real life; the impact should highlight measurable business value; the risk should cover ethical, operational, or compliance concerns; and the mitigation should be practical. Keep the recommendations concise but insightful for decision-makers.

Company Type/Team: [Insert here]

Key Area: [Insert here]

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