
Apple Watch Series 10 Stays Discounted Post-Prime Day, With Low Stock and Lower Prices Than Black Friday
Head over to Amazon to get the Apple Watch Series 10 GPS 42mm case Smartwatch for just $299, down from its usual price of $399. That's a discount of $100 and 25% off.
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First impression: the screen is bright enough to banish squinting on sunny afternoons yet gentle on battery life. Raise your wrist and the always‑on display greets you with the hour, closing ring progress, or whatever custom face you pick from the growing gallery. The case feels light, more like a bracelet than a gadget, which makes all‑day wear easy during work, errands, and a quick lap around the block before bed.
Notifications arrive with a soft tap that is easy to feel but won't startle you in a quiet classroom. Reply to a text with a quick voice dictate or dismiss that group chat when you need focus. If you misplace your iPhone between couch cushions again, a single swipe triggers a ping so loud the search ends in seconds. Little conveniences pile up quickly.
Fitness fans will appreciate the upgraded sensor stack that tracks runs, swims, and even mindful breathing sessions. GPS locks on fast, so outdoor walks record accurate routes without waiting on a signal. At night, sleep tracking kicks in automatically, and the next morning you wake to a gentle summary of hours slept and heart rate trends. Pair the watch with Bluetooth earbuds and leave the phone at home while you chase negative splits or simply stroll the neighborhood birdsong.
Battery life stretches beyond a full day for most users, and a quick magnetic charge before shower time brings it back to full strength. With water resistance for laps at the pool and fall detection that can send help if needed, the watch carries quiet peace of mind along with its tech tricks.
The Apple Watch Series 10 GPS 42mm case Smartwatch is still available for $299 at Amazon, a tidy savings compared with the regular $399 price.
See at Amazon

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Yahoo
a few seconds ago
- Yahoo
AccessFintech Appoints Sarah Shenton Chief Executive Officer
Longtime board member and capital markets leader to guide company's next phase of product innovation and global growth NEW YORK, July 28, 2025 /PRNewswire/ -- AccessFintech, the data network driving capital optimization and greater operational capacity, today announced the appointment of Sarah Shenton as Chief Executive Officer, effective immediately. This strategic leadership change marks a significant step for the company as it positions itself for its next phase of growth. Shenton brings over 20 years of experience in operations, engineering and strategic investing to AccessFintech. Most recently, she led the Value Accelerator at Goldman Sachs' alternative assets business, where she collaborated with leadership teams at high-growth companies to drive scale, operational efficiency and commercial success. A long-time advocate for AccessFintech, Shenton led Goldman Sachs' Series A investment in the company and served as a Board Director from 2018 to 2025. She succeeds John Shay, who has effectively led the company as Interim CEO. John will remain part of the firm as Special Advisor to the CEO, ensuring a seamless transition and offering continued support and industry expertise to the leadership team. "Sarah brings a rare combination of operational depth, technical insight and strategic vision to the CEO role," said John Shay. "Her deep knowledge of our company and industry, alongside her commitment to our mission, will be invaluable as we embark on our next growth phase." "I am honored to take on the role of CEO," said Sarah Shenton. "We've created a strong foundation and an ecosystem that matters, and now is the time to build on this success and deliver exceptional value to clients. As technology continues to transform markets, I look forward to working with our amazing team to seize the exciting opportunities ahead." Shenton's appointment follows a unanimous decision by the Board, built on years of close collaboration during her tenure as a Director since 2018. "Sarah's deep market expertise and long-standing commitment to AccessFintech's vision make her exceptionally well-suited to guide the organization into its next chapter of growth," said Kevin Marcus, Partner at WestCap, on behalf of the AccessFintech Board. "We are also deeply grateful to John Shay for his steady leadership as Interim CEO and are pleased he will continue to play an active role on the team as an Advisor." AccessFintech has built a powerful data and workflow platform —the Synergy Network— that connects and distributes 75+ distinct data sets across 250+ leading financial institutions, enabling real-time collaboration and execution management across the post-trade lifecycle. Under Shenton's leadership, the company will continue to strengthen its role as a critical player in capital markets infrastructure and advance its mission to improve financial operations for clients. About AccessFintechAccessFintech enables improved data sharing and workflow collaboration to evolve the financial industry's operating model. At its core is the AccessFintech Synergy Network, a modern and secure collaboration network that allows for resolution and decision-making in one place. It facilitates data collaboration at scale and provides more visibility into transaction data and access to benchmarking insights. Synergy's workflow optimization speeds and simplifies transactions through digital automation, mutualizes risk and allows for better, more enlightened decision-making across organizations and functions. It also offers broad technology distribution that provides industry-wide connectivity to new technologies, reducing the cost of ownership for all. The Synergy Network has built a critical mass of data, participants and solutions with leading financial institutions and processes over a billion transactions every month. For more information, please visit or follow us on LinkedIn or X. Media Contactmarketing@ View original content to download multimedia: SOURCE AccessFintech Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data


Tom's Guide
2 minutes ago
- Tom's Guide
Tom's Guide Awards 2025: Our favorite phones of the year
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This is a versatile camera system that lets you capture subjects near and far, but it also has a robust set of AI tools that can enhance your photos and videos after the fact — like Audio Eraser and LOG video recording. No other phone can match its performance and features, making it the best phone you can buy for the money. Get instant access to breaking news, the hottest reviews, great deals and helpful tips. While Apple equipped its standard iPhone with plenty of new features and enhancements last fall, the Pro lineup continues to receive the lion's share of the company's attention. And that makes the iPhone 16 Pro — the more affordable of Apple's two Pro iPhones — the top model right now. Everything the iPhone 16 Pro Max can do, the iPhone 16 Pro can do as well, from showing off the power of Apple's A19 Pro chipset to supporting the new Apple Intelligence features Apple has been rolling out to its phones over the past nine months. 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Follow Tom's Guide on Google News to get our up-to-date news, how-tos, and reviews in your feeds. Make sure to click the Follow button.


Geek Wire
2 minutes ago
- Geek Wire
In AI we trust?
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By simulating real-world conditions without exposing production systems or sensitive data, teams can generate high-fidelity feedback. This method is called 'reinforcement learning' and is a critical foundation for developing enterprise-ready AI agents. Building trustworthy agents starts with safe, realistic testing environments. That means using AI-generated synthetic data that closely resembles real inputs, applying the same business logic and objectives used in human workflows, and running agents in secure, isolated sandboxes. By simulating real-world conditions without exposing production systems or sensitive data, teams can generate high-fidelity feedback. This method is called 'reinforcement learning' and is a critical foundation for developing enterprise-ready AI agents. Measure: Reliable agents require clear, consistent benchmarks. Measuring performance isn't just about tracking accuracy, it's about defining what each specific use case requires. 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