News from the AI & ML world
DeeperML - #futureofwork
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Sean Endicott@windowscentral.com
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Microsoft is aggressively pursuing the integration of AI agents across its ecosystem, as highlighted at Build 2025. The company is embedding AI deeper into Windows 11, utilizing the Model Context Protocol (MCP) to facilitate secure interaction between AI agents and both applications and system tools. This move transforms Windows into an "agentic" platform where AI can automate tasks without direct human intervention. The MCP acts as a standardized communication layer, enabling diverse AI agents and applications to seamlessly share information and perform actions. Microsoft is also pushing AI to the edge with tools unveiled at Build 2025, and are creating smarter faster experiences across devices.
Microsoft is also enhancing its Microsoft 365 Copilot with "Model Tuning," allowing businesses to train the AI assistant on internal data, creating domain-specific expertise. This feature enables the creation of AI agents customized for specialized tasks, such as legal document creation or drafting arguments, using an organization’s unique knowledge base. It’s designed to secure data within the platform, ensuring that internal information isn't used to train broader foundation models. The feature is rolling out in June through the Microsoft Copilot Tuning Program, available to customers with at least 5,000 M365 Copilot licenses. Adding to its AI advancements, Microsoft is exploring AI's role in various applications, like integrating Copilot into Notepad for AI-assisted writing and developing AI models like Aurora for accurate weather forecasting. However, a potential security concern arose when a private Teams message inadvertently revealed that "Microsoft is WAY ahead of Google with AI security" during a Build 2025 protest. The leaked message was within a Microsoft Teams message where Walmart are expanding their use of AI. The company is also developing NLWeb, an open-source protocol designed to AI-enable the web by transforming websites into AI-powered conversational interfaces. Recommended read:
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@www.microsoft.com
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The business world is on the cusp of a significant transformation as AI agents emerge as powerful tools for automating and streamlining processes. Microsoft Dynamics 365 is leading the charge by introducing new ERP agents for public preview, designed to redefine how finance, supply chain, and operations teams manage their work. These agents represent a shift towards AI-first operations, promising to reduce manual effort, improve accuracy, and accelerate decision-making across various business functions. As organizations increasingly integrate AI into their strategies, the focus is shifting from the hype surrounding AI to its practical applications in driving tangible business value.
Microsoft's new ERP agents function as "digital colleagues," taking on specific tasks and automating workflows. Unlike AI-powered assistants that merely support human actions, these autonomous agents can execute entire processes, such as lead generation, order management, and account reconciliation, with minimal human intervention. These agents excel in ERP systems where high-volume, rules-based activities are common, streamlining complex processes like source-to-pay and project-to-profit. The Account Reconciliation Agent, for instance, can accelerate the period-end close by matching ledger entries, flagging discrepancies, and recommending resolution steps, freeing up professionals to focus on more strategic tasks. Beyond ERP, AI agents are making inroads into go-to-market (GTM) teams, redefining roles in prospecting, forecasting, and customer success. Rather than being just "glorified chatbots," these agents are goal-oriented systems that observe, decide, and act within defined environments, making intelligent decisions to scale existing successful strategies. Companies like SAS are also developing AI agents with built-in guardrails, combining traditional rule-based analytics with machine learning to ensure controlled and predictable automation. IBM and Oracle are also joining the party with watsonx Orchestrate, a drag-and-drop interface for building AI agents for deployment in the Oracle Cloud Infrastructure (OCI). The AI revolution is not just about replacing human workers but about augmenting their capabilities and driving efficiency across the enterprise. Recommended read:
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@www.microsoft.com
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References:
Tony Bradley
, www.microsoft.com
Microsoft is at the forefront of a workplace revolution, driven by the rapid advancement of AI. According to their 2025 Work Trend Index, AI agents are transforming how businesses operate, particularly in customer service and security operations. These agents, powered by sophisticated AI, are designed to augment human capabilities, enabling companies to scale rapidly, operate with agility, and generate value faster. The report highlights the emergence of "Frontier Firms," organizations built around on-demand AI and human-agent teams, where employees act as "agent bosses."
Microsoft envisions a future where every employee will have an AI assistant, and AI agents will join teams as "digital colleagues," taking on specific tasks. Eventually, humans will set directions for these agents, who will then execute business processes and workflows independently, with their human supervisors checking in as needed. This shift represents a move from simple coding assistance to AI agents capable of handling complex tasks, such as end-to-end logistics in a supply chain, while humans guide the system and manage relationships with suppliers. This transformation is expected to impact various knowledge work professions, including scientists, academics, and lawyers. The company also introduced AI service agents for Dynamics 365 Customer Service and Contact Center. These agents are available in public preview and include Case Management, Customer Intent, and Customer Knowledge Management agents. These AI agents learn to address emerging issues, uncover new knowledge, and automate manual processes to boost business efficiency and reduce costs. The Case Management Agent simplifies case management, reduces handling time, and improves customer satisfaction, while the Customer Intent Agent uses generative AI to analyze past interactions and provide tailored solutions. Microsoft is also emphasizing the importance of securing, managing, and measuring agent workstreams with the Copilot Control System, ensuring that businesses can effectively mitigate risks and track the ROI of their AI agent deployments. Recommended read:
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Bernard Marr,@Bernard Marr
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Source Asia
, Bernard Marr
The rapid advancement of Artificial Intelligence is poised to transform the job market significantly, with projections indicating that AI could impact up to 70% of jobs by 2030. This "Great Skill Shift" signifies a move towards a skills-based, human-centered ecosystem. Rather than simply automating tasks, AI is fundamentally reshaping the labor landscape, requiring individuals to adapt and acquire new skills to remain relevant in the evolving workplace. Microsoft envisions a future where AI acts as a companion, built around individual needs and expectations, highlighting the importance of personalization in this technological revolution.
As Microsoft celebrates 50 years of innovation, its contributions to AI development are becoming ever more clear. From the initial launch of its operating system in 1985 to Bill Gates's prediction about the internet, Microsoft has continued to adapt to changing technologies. Foundational papers by Microsoft Research, like those on Bayesian Networks and the Z3 theorem prover, set the stage for current advancements in AI. Microsoft has been committed to building a trusted AI platform, including tools, that will be used in the future. Microsoft's journey in AI is marked by key milestones, including the launch of Bing with natural language capabilities in 2009. Bing introduced machine learning features that provided search suggestions and related searches. The 2015 launch of Project Oxford, now Azure AI Foundry, gave developers intelligent technologies for building smarter apps featuring face detection, voice recognition, and language understanding. These achievements highlight Microsoft's dedication to developing AI tools and resources, providing developers with the ability to create AI-powered applications. Recommended read:
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