Note, Paint and Snip With AI: Microsoft Adds New Features, but Not for Everyone
The catch, however, is that the Notepad AI update will only be available to Microsoft 365 or Copilot Pro subscribers and Paint's new AI features will only work on Copilot Plus PCs.
Everyone will be able to use the new Snippet enhancements, however.
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Yahoo
28 minutes ago
- Yahoo
How AI Agents can transform banking operations: 3 principles for ‘endgame', not ‘game over'
AI Agents – a sophisticated type of software capable of planning, reasoning, and executing tasks independently – are fast becoming a serious consideration for banks looking to streamline operations and boost resilience. With organisations like the World Economic Forum (WEF) touting the transformational potential of Agentic AI, banking leaders must focus not only on the technology itself but getting it used effectively. Will AI Agents on balance displace banking jobs, or will they become integral to a new hybrid human-machine operating model? In other words, is it 'game over' for bankers or is this simply the 'endgame'? In the banking sector, where the cost of error is high and regulatory obligations are extensive, finding the answer hinges on more than just technological capability. Instead, it requires a clear understanding of how AI fits into existing systems, how it learns, and most crucially, how it understands the organisation it's deployed in. For AI Agents to be meaningfully integrated into core business operations, they need more than a generalised grasp of the world (what we might call a 'Public World Model'). Agents also require a 'Private World Model', a real-time, contextual understanding of the specific business environment they serve. This Private World Model is what enables AI to move beyond basic task automation and operate with the discretion, safety, and strategic alignment necessary for use in high-stakes settings like risk, compliance, or customer operations. Building it takes more than data. It takes a structured approach that brings business context into every layer of AI deployment. Banks seeking to move from early experimentation to strategic, at-scale adoption should follow these three key principles: For AI Agents to deliver value, they must be embedded into the operating model, not bolted on as isolated tools. That means defining their purpose, boundaries, and how they interact with human teams from the outset. In practice, this requires cross-functional alignment. That means bringing together risk, compliance, technology, and business operations to ensure governance is embedded and responsibilities are clearly allocated. It's about answering the operational questions before the technical ones. For example: What will the agent do? What decisions can it make? How will performance be measured? How will human oversight work? In highly regulated banking environments, this level of discipline is essential. Poorly integrated AI risks duplication, degradation of service quality, or worse, regulatory breaches and reputational harm. Successful AI programmes treat these issues as first-order design considerations, not afterthoughts. The temptation to adopt AI Agents quickly across the enterprise is understandable, but rarely effective. A more sustainable approach begins with well-defined use cases that offer a high return with manageable risk. One clear example is JPMorgan Chase's COiN (Contract Intelligence) platform, which uses AI to review commercial agreements. It reportedly cut error rates by 80% and freed up 360,000 hours of legal review time annually. This isn't a theoretical impact. It's measurable operational efficiency, delivered through structured implementation and ongoing oversight. Banks should look for similarly contained, repeatable tasks that are essential but burdensome. These create ideal environments for AI Agents to demonstrate value while allowing teams to build institutional knowledge and governance muscle before expanding into more complex areas. AI deployment is not a one-off exercise. As business needs change and regulatory frameworks evolve, AI Agents must adapt in parallel. That means embedding feedback loops and performance monitoring from day one. Unlike static software, AI systems learn from data, and that data changes. Ensuring AI Agents remain aligned with business strategy requires structured retraining, robust monitoring, and clearly defined escalation routes when things go wrong. Change management for the human workforce is equally important. As tasks evolve, new skills and new ways of working are needed. Supporting employees through this transition is critical to building trust in AI, ensuring adoption, and maintaining operational integrity. Retail banks must act now to embrace AI Agents before they become the industry standard, rather than a competitive edge. The prize is substantial for those who are first adopters: greater efficiency, faster decision-making, more consistent compliance, and more responsive customer operations. But the route to get there is not through a single piece of technology. It's through a deliberate strategy grounded in business context and operational clarity. By focusing on integration, strategic implementation, and continuous learning, banks can shift from seeing AI as a bolt-on and start treating it as a vital core capability. Rather than triggering 'game over' for bankers, AI's real potential lies in shaping a more agile, resilient and scalable workforce where humans and machines complement one another. That's an endgame worth striving for. David Bholat is Professional and Financial Services Director at Faculty "How AI Agents can transform banking operations: 3 principles for 'endgame', not 'game over'" was originally created and published by Retail Banker International, a GlobalData owned brand. The information on this site has been included in good faith for general informational purposes only. It is not intended to amount to advice on which you should rely, and we give no representation, warranty or guarantee, whether express or implied as to its accuracy or completeness. You must obtain professional or specialist advice before taking, or refraining from, any action on the basis of the content on our site.
New York Post
31 minutes ago
- New York Post
Microsoft to slash 9,000 jobs in latest brutal cut amid AI push: report
Microsoft said Wednesday that it will lay off about 9,000 workers in the software giant's latest round of brutal cuts this year. The layoffs will impact less than 4% of Microsoft's global workforce, impacting workers across different teams with varying levels of experience, a source familiar with the matter told CNBC. Microsoft has already slashed thousands of positions this year as it focuses on cutting layers of management and shifting resources toward the artificial intelligence race. Advertisement Microsoft CEO Satya Nadella speaking at a conference in May. AFP via Getty Images Bloomberg reported last month that Microsoft was planning job cuts in its sales division. 'We continue to implement organizational changes necessary to best position the company and teams for success in a dynamic marketplace,' a Microsoft spokesperson told CNBC. Meanwhile, Microsoft reported nearly $26 billion in net income and $70 billion in revenue in the most recent quarter, far outperforming Wall Street estimates. Advertisement Microsoft did not immediately respond to The Post's request for comment. Its most recent layoff round in May slashed more than 6,000 jobs, or about 3% of its global workforce, as it eradicates middle management roles. The layoffs announced Wednesday similarly seek to reduce the layers between individual contributors and top executives, a source familiar with the matter told CNBC. Advertisement Microsoft said it will lay off about 9,000 workers. AP In January, the software giant axed less than 1% of its workforce based on performance in an attempt to keep up with cutthroat tech rivals, mimicking Elon Musk's 'hardcore' approach. As of last summer, the company employed 228,000 workers. It cut 10,000 roles throughout 2023. Microsoft has led mammoth layoff rounds in the past, axing 18,000 roles in a single sweep in 2014 after acquiring Finnish telecommunications firm Nokia. Advertisement The company is projecting strong revenue growth of 14% year-over-year as it expands its Azure cloud business and corporate software subscriptions. Shares in Microsoft have risen more than 17% so far this year. Meanwhile, the company is reportedly weighing whether to abandon its breakthrough partnership with Sam Altman's OpenAI. It has considered pausing talks with the ChatGPT maker if the two parties are not able to agree on the size of Microsoft's future stake in OpenAI, the Financial Times reported last month. The company will rely on its existing contract with OpenAI through 2030, according to the report. Several other software companies have trimmed their workforces this year, including homework helper Chegg and CrowdStrike, which suffered a massive outage last year that disrupted airlines, banks and the hospitality industry.
UPI
40 minutes ago
- UPI
Watch: AI-powered robots face off in soccer tournament in China
July 2 (UPI) -- The first ROBO League robot soccer tournament took place in China, pitting AI-powered teams of robot players against one another in 3 vs. 3 matches. The tournament, held Saturday in Beijing, drew a crowd of thousands of curious spectators to watch the robots attempt to score goals using strategies determined by AI. "This is the first fully autonomous AI robot football match in China," Dou Jing, executive director of the tournament organizing committee and deputy general manager of Shangyicheng Technology and Culture Group, told the Global Times. "It represents a combination of technological innovation and industrial application, as well as an important window for bringing robots into public life and real-world scenarios." The tournament ended with the THU Robotics team from Tsinghua University defeating the Mountain Sea team from China Agricultural University team 5-3. The event was held in the lead-up to the 2025 World Humanoid Robot Sports Games, which will be held in Beijing in August.
