She Always Felt Like an Outsider. Now It's This CEO's Superpower.
She took that mindset with her as she started her career and scaled the ranks of Amazon.com and Microsoft. To fight off impostor syndrome Williams came up with her signature Wonder Woman pose: Standing up with her hands on her hips for two minutes.
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Yahoo
28 minutes ago
- Yahoo
Ricoh Asia Pacific and Microsoft Collaborate to Empower a Future-Ready Workforce Through AI
Employee learning programme launched as part of region-wide AI strategy and focus on workplace transformation TOKYO, Aug. 18, 2025 /PRNewswire/ -- Ricoh Asia Pacific today announced the launch of AI Learning Week, a region-wide internal initiative designed to equip employees with practical AI capabilities, accelerate Microsoft Copilot adoption, the use of custom AI agents, and strengthen Ricoh's leadership in shaping the future of work through responsible, applied artificial intelligence. Running from 18–22 August 2025 and co-sponsored by Microsoft and Talogy, a leading talent management solution provider, AI Learning Week will bring together over a thousand employees across Ricoh's Asia Pacific operations for hands-on sessions, leadership panels, and solution showcases. The initiative reflects Ricoh's belief that empowering employees with AI fluency is key to delivering lasting value for customers and deepening strategic technology partnerships. "AI Learning Week isn't just about upskilling—it's about readiness," said Kei Uesugi, Regional Director of Ricoh Asia Pacific. "By investing in our people and working alongside Microsoft, we are building the internal strength required to lead AI transformation across the region." A Strategic Framework for Regional Scale Ricoh Asia Pacific's AI strategy is built around a three-tiered innovation framework that supports varying levels of customer AI maturity and business need. This includes: Pre-Configured Solutions such as AI-enabled multifunction devices, intelligent document processing, and workflow automation Enablement and Advisory Services to help organisations adopt AI responsibly and effectively Advanced Applications using AI agents, large language models, and vertical-specific solutions tailored to customer challenges This structure enables Ricoh to scale innovation efficiently across markets while encouraging local adaptation and capability-building. Local Innovation, Regional Impact Across the region, Ricoh operating companies are already delivering on this strategy through market-led innovation and practical application. In Hong Kong, Ricoh has launched the Ricoh InnoAI Programme. Developed in partnership with Cyberport and the Ricoh Software Research Center Beijing, Ricoh InnoAI offers AI startups and enterprise partners access to a purpose-built R&D centre, commercialisation pathways, and advanced infrastructure to accelerate innovation. "Through InnoAI, we are building a business-ready AI ecosystem, anchored in Hong Kong, ready to scale and support customers across the region", said Ricky Chong, Managing Director of Ricoh Hong Kong. "We are excited to be working at the intersection of technology, talent, and trust; to attract new talent, and help our customers grow." In New Zealand, Ricoh has solidified its position as a leader in enterprise AI adoption and Microsoft Copilot deployment. As a certified Microsoft Solutions Partner across Data & AI, Infrastructure, Modern Work (SMB), and Security (SMB), Ricoh New Zealand has met Microsoft's highest standards for capability, performance, and customer success. This recognition enhances Ricoh's credibility in the Microsoft ecosystem and reinforces its role as a trusted advisor to customers seeking secure, scalable, and productivity-enhancing solutions. Building on this foundation, Ricoh New Zealand has implemented structured Copilot programmes across key business functions—including finance, marketing, customer operations and digital services. These deployments are supported by comprehensive AI readiness assessments that help define business needs, identify adoption barriers, and prioritise use cases. The insights gained feed into enablement frameworks and real-time feedback loops that drive continuous improvement, both internally and for Ricoh's customers. This hands-on experience—underpinned by its Solutions Partner credentials—has positioned Ricoh New Zealand as a strategic contributor to Ricoh's go-to-market model in the Asia Pacific region with Microsoft, translating product capability into practical, scalable business outcomes. Leo Liu, General Manager, Microsoft Hong Kong and Macau, added: "Microsoft is delighted to collaborate with Ricoh for AI Learning Week, empowering teams across the Asia Pacific region to unlock the full potential of AI Agents. Through hands-on sessions and real-world demonstrations, we are committed to supporting Ricoh in harnessing the power of Microsoft Copilot and custom AI agents. Our aim is to drive innovation, enhance productivity, and transform the way work gets done—today and for the future." As Ricoh continues to invest in its people, platforms and partnerships, AI Learning Week serves as a timely demonstration of how strategic enablement at scale can power the next phase of workplace transformation across Asia Pacific. -Ends- Related News Ricoh to Ensure AI Access For All Employees Ricoh Hong Kong Announces Launch of Ricoh InnoAI Program Ricoh acquires software startup with advanced AI technology About Ricoh Ricoh is a leading provider of integrated digital services and print and imaging solutions designed to support the digital transformation of workplaces, workspaces and optimise business performance. Headquartered in Tokyo, Ricoh's global operation reaches customers in approximately 200 countries and regions, supported by cultivated knowledge, technologies, and organisational capabilities nurtured over its 85-year history. In the financial year ended March 2025, Ricoh Group had worldwide sales of 2,527 billion yen (approx. 16.8 billion USD). It is Ricoh's mission and vision to empower individuals to find 'Fulfilment through Work' by understanding and transforming how people work so we can unleash their potential and creativity to realise a sustainable future. For further information, please visit ### © 2025 RICOH ASIA PACIFIC PTE LTD. All rights reserved. All referenced product names are the trademarks of their respective companies. View original content to download multimedia: SOURCE Ricoh Asia Pacific Pte Ltd Fehler beim Abrufen der Daten Melden Sie sich an, um Ihr Portfolio aufzurufen. Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten Fehler beim Abrufen der Daten
Yahoo
an hour ago
- Yahoo
Prediction: This Unstoppable Stock Will Be a Founding Member of the $6 Trillion Club by 2027
Key Points Nvidia is the flag bearer for generative AI, which is still in the early innings. The chipmaker furnishes the graphics processing units (GPUs) that supply the computational horsepower that underpins AI. While Nvidia has grown at a blistering pace over the past few years, it likely has further to run, and it's still attractively priced. 10 stocks we like better than Nvidia › Artificial intelligence (AI) has stolen the limelight over the past few years, and there's plenty of evidence to suggest this is just the beginning. Developers continue to create new applications for the technology, which is being leveraged to produce original content, streamline business processes, and enhance productivity. Despite making headlines for more than two years, it's still early days for the adoption of AI, and the evidence suggests spending continues to ramp up. In fact, the four horsemen of technology -- namely Microsoft, Alphabet, Amazon, and Meta Platforms -- are poised to collectively spend more than $400 billion for the capital expenditures required to support their AI ambitions this year, and these outlays show no signs of slowing. With data center spending at the top of the shopping list, Nvidia (NASDAQ: NVDA) is positioned to reap the rewards of much of that spending. The company pioneered the graphics processing units (GPUs) that perform the mathematical calculations required to enable AI, and I predict it will parlay the unrelenting demand for those chips into charter membership in the $6 trillion club. A GPU primer Nvidia pioneered the first GPU back in 1999 to render lifelike images in video games. The groundbreaking development that made that possible was parallel processing, which breaks up massive computing jobs into smaller, more manageable chunks. This enabled the simultaneous processing of a multitude of mathematical computations, making Nvidia's chips a game-changer. This was just the beginning of the journey for the humble GPU, which proved adept at enabling or accelerating other applications, including those in the cloud or data centers, where the majority of AI processing takes place. Nvidia has become the gold standard for data center GPUs, controlling an eye-watering 92% of the market, according to business intelligence firm IoT Analytics. The feverish demand for these specialty chips has driven Nvidia's financial results and its stock price into the stratosphere. Show me the money In its fiscal 2026 first quarter (ended April 27), Nvidia generated record revenue of $44 billion, which surged 69% year over year and 12% sequentially. This fueled adjusted earnings per share (EPS) that jumped 27% to $0.76. The headliner was the data center business, which includes processors used for cloud computing, data centers, and AI. Revenue for the segment surged 73% to $39 billion, driven by relentless demand for AI. This could be just the beginning. Big Four accounting firm PricewaterhouseCoopers (PwC) estimates the AI market could be worth $15.7 trillion by 2030, with Nvidia being a major beneficiary by supplying the cutting-edge chips that underpin the technology. The path to $6 trillion Nvidia currently boasts the world's highest market cap for a publicly traded company, at roughly $4.44 trillion (as of this writing). This means its stock price would need to rise 35% to drive its value to $6 trillion. According to Wall Street, Nvidia is poised to generate revenue of more than $201 billion in fiscal 2026 (which began in January), giving it a forward price-to-sales (P/S) ratio of roughly 22. Assuming its P/S remains constant, Nvidia would need to increase its revenue to roughly $272 billion annually to support a $6 trillion market cap. Wall Street forecasts estimate that Nvidia will grow its revenue by 53% this year and 25% next year. If the company can attain those benchmarks, it could reach a $6 trillion market cap as early as 2027. But don't take my word for it. Loop Capital analyst Ananda Baruah has just issued a Street-high price target of $250 on Nvidia stock, suggesting it could reach a market cap of $6.1 trillion over the next 12 to 18 months. The analyst cited supply chain checks and concluded that hyperscale adoption of generative AI and AI factories could generate spending of $2 trillion by 2028, with Nvidia as a major beneficiary. Given the widespread adoption of AI, I believe Baruah's call is prescient. It's important to remember that these gains won't come in a straight line. A review of Nvidia's charts reveals that the stock price has fallen 25% or more from its peak on at least five separate occasions, and in one case, it plunged 66%. On the other hand, it would be difficult to overstate the company's success. Despite the aforementioned volatility, over the past decade, Nvidia's revenue has grown by 3,735%, while its net income has surged 13,911%. Furthermore, the company's relentless innovation and improving financial performance have fueled a blistering increase in its stock price, which has soared 30,870%. Nvidia is currently selling for 31 times next year's earnings, which is certainly a premium. However, given its impressive track record, consistent execution, and the significant opportunity represented by AI, I'd argue it's a small price to pay for such a high-quality company. Do the experts think Nvidia is a buy right now? The Motley Fool's expert analyst team, drawing on years of investing experience and deep analysis of thousands of stocks, leverages our proprietary Moneyball AI investing database to uncover top opportunities. They've just revealed their to buy now — did Nvidia make the list? When our Stock Advisor analyst team has a stock recommendation, it can pay to listen. After all, Stock Advisor's total average return is up 1,070% vs. just 184% for the S&P — that is beating the market by 885.55%!* Imagine if you were a Stock Advisor member when Netflix made this list on December 17, 2004... if you invested $1,000 at the time of our recommendation, you'd have $668,155!* Or when Nvidia made this list on April 15, 2005... if you invested $1,000 at the time of our recommendation, you'd have $1,106,071!* The 10 stocks that made the cut could produce monster returns in the coming years. Don't miss out on the latest top 10 list, available when you join Stock Advisor. See the 10 stocks » *Stock Advisor returns as of August 13, 2025 Danny Vena has positions in Alphabet, Amazon, Meta Platforms, Microsoft, and Nvidia. The Motley Fool has positions in and recommends Alphabet, Amazon, Meta Platforms, Microsoft, and Nvidia. The Motley Fool recommends the following options: long January 2026 $395 calls on Microsoft and short January 2026 $405 calls on Microsoft. The Motley Fool has a disclosure policy. Prediction: This Unstoppable Stock Will Be a Founding Member of the $6 Trillion Club by 2027 was originally published by The Motley Fool
Wall Street Journal
an hour ago
- Wall Street Journal
AI Won't Replace Historians
Axios last month published a list of 'The 10 jobs least and most threatened by AI.' No. 2 on the threatened list, between translators and passenger attendants, was 'historians.' The source is a study by researchers at Microsoft on the implications of generative artificial intelligence on the labor force. The study uses data from Copilot, Microsoft's competitor to ChatGPT, to match user requests with relevant career paths. In doing so, it purports to demonstrate the level to which work activities in certain careers are 'covered' by generative AI. To their credit, the researchers are modest about their findings. They note that in the past, efficiency tools have often tended to increase the value of work, not decrease it. Whether generative AI will have a similar effect is too early to tell.
