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Harnessing the right technologies is key to driving efficiency and scaling innovation. A recent Forrester Total Economic Impact (TEI) study highlights how Azure API Management delivers 3 times the value in just three years, with 80% efficiency gains and $ 190,000 in annual savings. More than just a cost-saver, Azure API Management acts as the centralized "AI gateway" for managing usage, enforcing policies, and tracking consumption across AI tools like Copilot.
We’re bringing you the latest strategies and tools to help your business thrive in a rapidly evolving digital world. Dive in for expert insights and resources to boost productivity and drive innovation.
Robotic Process Automation (RPA) is transforming business operations and efficiency. However, successful implementation requires careful planning and a clear roadmap to maximize its benefits.
Our article, "6 Essential Stages of RPA Implementation", we dive into the critical phases of adopting RPA, from assessing the right processes to monitor and maintain the automation. Whether you’re just starting out or optimizing your current RPA strategy, these stages provide a clear framework to guide your organization toward long-term success.
Ready to enhance your experience with Microsoft Copilot? The "50 Copilot Starter Prompts Toolkit" is designed for both beginners and advanced users. It features expert-curated prompts to help you maximize your use of Copilot.
Inside, you'll find prompts to streamline tasks, improve team collaboration, and gain insights from your organizational data. Each prompt focuses on clear goals, from managing meetings to enhancing personal productivity.
Highlights include:
Unlock Copilot's potential with this free toolkit and boost your productivity with AI!
AI is reshaping IT operations by driving innovation and managing emerging risks. Get insights on a practical session on how IT professionals can proactively leverage AI-powered tools to scale and navigate this new era.
Acceess the Free On-Demand Recording 📽️
This session will equip you with the strategies and actionable steps needed to transition from a reactive to a proactive IT approach, enhancing your ability to meet growing demands from employees, partners, and customers.
Key Takeaways:
LATEST NEWS
The “infinite workday” is real – and Copilot is the antidote. Microsoft’s latest Work Trend Index follow-up mines trillions of M365 signals to show that knowledge workers are interrupted every two minutes, and 48% feel their day is “chaotic.” The report positions AI agents as the fulcrum for reclaiming focus: summarizing meetings, filtering noise, and enforcing digital guardrails so organizations can graduate to “Frontier Firm” status.
Version 1.33 of the MSSQL extension introduces three crowd-pleasers: one-click local SQL Server 2025 containers, folder-based connection groups, and a GitHub Copilot Agent Mode that executes queries, displays schemas, and even establishes new database connections from chat. This is more than just a quality-of-life improvement—it’s a signal that database tooling is converging with AI pair programming, allowing engineers to iterate on vector types or JSON columns locally and then promote them to Azure in just minutes. For product teams, integrate the agent into your inner loop so that schema conversations, sample data, and performance tips stay right where code development occurs.
A June 16 deep dive shows how Azure AI Foundry now leverages the new Responses API to invoke MCP tools—and even Computer Use Agent (CUA) vision models—without requiring custom glue code. The demo fashions a trend-scraping agent that utilizes Playwright and GPT -4o vision to crawl Pinterest, analyze images, compile Markdown reports, and then auto-store them in Blob Storage via an MCP call, all hands-free. The broader signal: Foundry is morphing into a low-code substrate for domain-specific autonomous agents, where durable tokens, secure storage, and Auditable AI controls are baked in. If you’re prototyping Copilot “sidecar” workflows, this pattern cuts dev friction while keeping enterprise guardrails front and center.
LATEST NEWS
Purview’s eDiscovery workflows are consolidating into a single, streamlined interface on May 26, with the retirement of legacy Content Search and classic exports. Why it matters: A unified experience means AI-assisted review, cost analytics, and export automation live side by side, shortening investigation cycles and tightening the chain of custody. For digital workplace teams juggling data sprawl and regulatory scrutiny, this upgrade removes swivel-chair friction and delivers KPI-level transparency.
The full-screen Chat with your Data interface is now fully rolled out, giving users Google-like natural-language search across every dataset they’re permitted to see—then auto-building visuals or summaries on demand. Meanwhile, Copilot can be switched on inside securely embedded Power BI reports, so external portals and websites gain the same conversational analytics without sacrificing governance. Both features are off by default, putting IT in control of enablement and capacity planning.
Microsoft has integrated AI activity into Purview’s security graph, providing defenders with a real-time view of how Copilot and third-party large language models (LLMs) interact with sensitive data. DSPM for AI surfaces risky prompts, oversharing indicators, and regulation-aligned recommendations—plus one-click DLP and sensitivity-label policies that close the gap between guidance and action. For leaders championing responsible AI, this is the control plane that translates high-level governance goals into measurable security posture.
LATEST NEWS
The new Natural Language Search preview lets you add GPT-style queries directly to any Power Pages list, so customers or employees can type “orders over $500 this quarter” and instantly surface the proper records—no filters, no formulas. For IT teams, it’s a friction-free way to integrate generative AI into existing portals while maintaining Dataverse security.
Microsoft’s new Data Agent Architecture pattern pairs Copilot Studio agents with Dataverse, allowing autonomous bots to read unstructured inputs (such as emails, PDFs, and tickets), enrich them, and store clean data in a governed lake—complete with human-in-the-loop escalation. The payoff: accelerated decision-making, stronger compliance, and a single source of truth your analytics team can trust. If manual data wrangling is hindering innovation, this architecture serves as your blueprint for scalable AI operations.
The updated Copilot Hub within the Power Platform Admin Center provides the visibility CIOs crave: an agent inventory dashboard, rich usage-versus-cost analytics, and a “What’s New” feed that flags upcoming AI features before they are deployed in production. It’s a single pane of glass that elevates Copilot oversight from reactive firefighting to proactive strategy. Want to show your board ROI and risk posture in the same deck?
Imagine making decisions with confidence, backed by data-driven insights that drive efficiency and growth. Our case study showcases how implementing advanced analytics solutions can revolutionize decision-making processes.
By integrating cutting-edge tools, the organization was able to optimize operations, identify key trends, and improve overall performance.
Discover how leveraging the right analytics can empower your business to make smarter, faster decisions.
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