BUSINESS

The Los Angeles Dodgers’ superstar gave a Seiya Suzuki injury update after the Chicago Cubs slugger’s World Baseball Classic setback.

A William Ackman donated $100,000 to the family of Major Sorffly Davius and $80,000 to the family of Major Alex Klinner on GoFundMe.

Here’s how the F1 standings look after round two of the 2026 season in Shanghai, China.

TheStreet aims to feature only the best products and services. If you buy something via one of our links, we may earn a commission.Why we love this dealTechnology is so interwoven into our everyday lives that it’s hard to know where it ends and we begin. That said, our interdependence with electronics isn’t necessarily a bad thing. For example, personal devices like smartwatches can help us keep track of our fitness goals and stay in shape. Similarly, a good pair of smart glasses can allow us to stay in touch with friends and family hands-free, and offer personal assistant services at no additional cost. That’s precisely why we were so excited to find a pair of smart glasses on sale at Amazon that can do all that and more.The Oiciido AI Smart Glasses are currently available at Amazon for only $25 with a clickable coupon. That’s a discount of 50% off the original $50 price tag. Just make sure to apply the coupon before adding a pair to your cart, and the discount will be reflected at checkout. Oiciido AI Smart Glasses, $25 (was $50) at Amazon

Courtesy of Amazon

Why do shoppers love it?These glasses are the height of tech, but are currently available at the lowest price imaginable. One of the most obvious benefits of these glasses is that you can make and receive calls using only voice commands. The dual stereo speakers embedded in each arm deliver crisp and loud sound for music, podcasts, and phone calls alike. Furthermore, a noise-canceling microphone allows those on the other end of the line to hear your voice in a crystal clear fashion. Speaking of fashion, these smart glasses are incredibly stylish. The vintage nerd aesthetic is back in a big way, and you’ll be right on trend with these special specs. People will have no clue that your glasses allow you to have the power of the internet resting at the tip of your nose. They have a voice-activated personal assistant function that allows you to make any inquiry you wish of the internet, and your questions will be answered immediately. You’ll also have access to online AI services via ChatGPT to further enhance your experience.All you have to do to unlock the potential of this amazing invention is to connect via Bluetooth to your smartphone, tablet, or computer. Doing so will also gain you access to all the other functions of your primary device. That includes your email, calendar, and any other apps that you use on a regular basis. If we had to summarize in one word exactly what these glasses represent, it would be freedom. Related: Amazon’s wildly affordable smart glasses allow you to take calls and play music hands-free for only $39Details to knowAI interface: ChatGPT.Lenses: Clear, non-prescription.Battery duration: 80 hours of use. Amazon shoppers were thrilled to share their positive thoughts about these smart glasses in the reviews. One called them “comfortable tech that blends in,” adding “these glasses deliver…They feel light enough to wear for extended periods…the built-in audio feels quietly capable.”The Oiciido AI Smart Glasses are available right now for only $25. If you want the power of ChatGPT available to you 24 hours a day, then this is the deal for you. There’s no telling, however, just how long this price drop will last, so we recommend buying them ASAP. That would be the most naturally intelligent decision you could possibly make. 

Recent reports about AI project failure rates have raised uncomfortable questions for organizations investing heavily in AI. Much of the discussion has focused on technical factors like model accuracy and data quality, but after watching dozens of AI initiatives launch, I’ve noticed that the biggest opportunities for improvement are often cultural, not technical.Internal projects that struggle tend to share common issues. For example, engineering teams build models that product managers don’t know how to use. Data scientists build prototypes that operations teams struggle to maintain. And AI applications sit unused because the people they were built for weren’t involved in deciding what “useful” really meant.In contrast, organizations that achieve meaningful value with AI have figured out how to create the right kind of collaboration across departments, and established shared accountability for outcomes. The technology matters, but the organizational readiness matters just as much.Here are three practices I’ve observed that address the cultural and organizational barriers that can impede AI success.Expand AI literacy beyond engineeringWhen only engineers understand how an AI system works and what it’s capable of, collaboration breaks down. Product managers can’t evaluate trade-offs they don’t understand. Designers can’t create interfaces for capabilities they can’t articulate. Analysts can’t validate outputs they can’t interpret.The solution isn’t making everyone a data scientist. It’s helping each role understand how AI applies to their specific work. Product managers need to grasp what kinds of generated content, predictions or recommendations are realistic given available data. Designers need to understand what the AI can actually do so they can design features users will find useful. Analysts need to know which AI outputs require human validation versus which can be trusted.When teams share this working vocabulary, AI stops being something that happens in the engineering department and becomes a tool the entire organization can use effectively.Establish clear rules for AI autonomyThe second challenge involves knowing where AI can act on its own versus where human approval is required. Many organizations default to extremes, either bottlenecking every AI decision through human review, or letting AI systems operate without guardrails.What’s needed is a clear framework that defines where and how AI can act autonomously. This means establishing rules upfront: Can AI approve routine configuration changes? Can it recommend schema updates but not implement them? Can it deploy code to staging environments but not production?These rules should include three elements: auditability (can you trace how the AI reached its decision?), reproducibility (can you recreate the decision path?), and observability (can teams monitor AI behavior as it happens?). Without this framework, you either slow down to the point where AI provides no advantage, or you create systems making decisions nobody can explain or control.Create cross-functional playbooksThe third step is codifying how different teams actually work with AI systems. When every department develops its own approach, you get inconsistent results and redundant effort.Cross-functional playbooks work best when teams develop them together rather than having them imposed from above. These playbooks answer concrete questions like: How do we test AI recommendations before putting them into production? What’s our fallback procedure when an automated deployment fails – does it hand off to human operators or try a different approach first? Who needs to be involved when we override an AI decision? How do we incorporate feedback to improve the system?The goal isn’t to add bureaucracy. It’s ensuring everyone understands how AI fits into their existing work, and what to do when results don’t match expectations.Moving forwardTechnical excellence in AI remains important, but enterprises that over-index on model performance while ignoring organizational factors are setting themselves up for avoidable challenges. The successful AI deployments I’ve seen treat cultural transformation and workflows just as seriously as technical implementation.The question isn’t whether your AI technology is sophisticated enough. It’s whether your organization is ready to work with it.Adi Polak is director for advocacy and developer experience engineering at Confluent.

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