The improved voice assistant can generate responses instead of simply repeating what it's been programmed to say. With generative AI, Alexa+ can engage in more natural conversations with users, rather than simply listening to a prompt and responding with a predetermined action. It also supports memory to recall preferences and conversations, maintaining context throughout a conversation. This allows it to remember what you asked at the beginning of a chat and respond in that context without you having to say, "Alexa" again.
Leveraging neuroscience principles, this pre-campaign solution offers creative intelligence and optimisation. Smarter creatives for a more human era of advertising Designed to improve ad performance through in-depth creative analysis and actionable insights, brands and agencies can now benefit from enhanced display and video contextual creatives that resonate more effectively with their audiences on the open web and CTV. Early activations have shown strong performance uplifts across the funnel.
OpenAI, the creator of ChatGPT, has overtaken Elon Musk's SpaceX to become the world's most valuable startup, after a share sale pushed its valuation to $500 billion. The deal saw current and former OpenAI employees sell about $6.6 billion worth of shares to a group of high-profile investors, including Thrive Capital, SoftBank, Dragoneer Investment Group, Abu Dhabi's MGX, and T Rowe Price, according to Reuters.
DynamicLink offers real-time network configuration. It enables customers to turn up and scale network connectivity services such as DIA, Ethernet, Cloudlink, and IP-VPN at any location. This includes clouds, on-net locations, and type 2 off-net sites. Once connected, all network services are configurable directly through the DynamicLink platform. No on-premise physical equipment is required, which future-proofs the network. Other features of the Zayo DynamicLink Naas include: Self-service management: Manage network configurations, bandwidth allocation, cloud connectivity, and other elements directly through the platform, without manual provisioning or service tickets.
Generative AI is moving from drafting emails to shaping labor markets. On platforms like Fiverr, Freelancer.com, and Upwork, millions of workers rely on hourly rates to compete for jobs. As AI increasingly influences pricing recommendations, business leaders face a critical question: Do large language models (LLMs) make these pricing decisions fairly? Or do they perpetuate the same biases and inequities that have long plagued human labor markets?
Marie F. Bayles, 88, of Normal, IL, passed away on Friday, Sept. 19, 2025. Born on Staten Island on May 20, 1937, she married Elmer E. Bayles on June 2, 1956, at St. Mary's of Rosebank. A graduate of New Dorp High School, she worked as a bookkeeper and accountant clerk. She was an avid genealogist and Girl Scout leader for 10 years.
IT professionals and managers trust generative AI more than traditional AI, while only 40 percent invest in AI security measures. Companies that do prioritize reliable AI are 60 percent more likely to achieve double ROI on their AI projects. This is according to research conducted by IDC on behalf of SAS. Nearly half of respondents say they trust generative AI completely, while only 18 percent say the same about traditional AI (e.g., machine learning).
In today's cloud-first environment, Infrastructure as Code (IaC) has become crucial for managing cloud resources effectively. However, organizations often face significant challenges in adopting IaC practices, including steep learning curves, complex syntax requirements, and difficulty translating manual operations into code. Amazon Q Developer 's Console-to-Code feature addresses these challenges by providing an intuitive bridge between manual AWS Console operations and infrastructure as code. This innovative solution helps organizations accelerate their automation journey while maintaining consistency and reliability in AWS deployments.
The adoption of AI tools like ChatGPT and Gemini is outpacing efforts to teach users about the cybersecurity risks posed by the technology, a new study has found. Also: Navigating AI-powered cyber threats in 2025: 4 expert security tips for businesses The study, conducted by the National Cybersecurity Alliance (NCA) -- a nonprofit focused on data privacy and online safety -- and cybersecurity software company CybNet was based on a survey of more than 6,500 people across seven countries, including the United States. Well over half (65%) of respondents said they now use AI in their daily life, marking a year-over-year increase of 21%.
On Tuesday, OpenAI announced the release of Sora 2, an audio and video generator to succeed last year's Sora. Along with the model, the company also launched a linked social app called Sora, where users can be able to generate videos of themselves and their friends to share on a TikTok-style algorithmic feed. OpenAI's work on a new social platform was previously reported by Wired.
For almost 20 years, Google's search engine has been the go-to source for researching anything. But with the rise of generative AI, its stronghold is slipping. Consumers are increasingly turning to AI tools like ChatGPT, Gemini and Perplexity when they have questions. According to a 2024 Ignite Visibility study, 62% of people now use ChatGPT or Google Gemini to explore products and services, showing that AI answers are quickly becoming the starting point for decisions.
On Thursday at an internal town hall, BNY CEO Robin Vince unveiled the next-generation version of Eliza, its AI platform that allows employees to create bespoke agents and carry out tasks such as accelerated check processing built on reams of company data. "We think of AI as generating capacity for us," Vince said at the town hall. According to a BNY spokesperson, 98% of the company's employees are trained on generative AI, with the majority using Eliza daily.
AI has upended the world of search. Whereas consumers used to start with a keyword search on Google, 68% of shoppers across the world have used AI tools like ChatGPT to shop, according to a report published by creative agency VML. In other words, keywords are being replaced with questions, blurring the lines between search as a performance marketing function and a brand marketing one.
Generative Artificial Intelligence (Gen AI) tools such as ChatGPT, Copilot, Gemini, and Khanmigo are rapidly proliferating and becoming integrated into nearly every aspect of life, including education. Although critics argue that these tools may replace traditional education, when used appropriately, they can complement teachers by serving as powerful educational partners. The diversity among learners often necessitates levels of support that a teacher alone cannot provide, underscoring the potential role of Gen AI in offering such assistance.
The AI industry has made major promises about its tech boosting the productivity of developers, allowing them to generate copious amounts of code with simple text prompts. But those claims appear to be massively overblown, as The Register reports, with researchers finding that productivity gains are modest at best - and at worst, that AI can actually slow down human developers.
As a UX designer with a background in front-end development, I was struck by this phrase that kept popping up on LinkedIn. The culprit seemed obvious: generative AI. Developers were embracing it faster than designers (or so I read). I realised that I used AI a lot when I was coding but barely touched it in my design work. Meanwhile, my developer colleague, an AI power user, was releasing features faster than ever.
The new AI music hosts are supposed to provide a richer listening experience, according to YouTube. As you're listening to tunes, the AI will generate audio snippets similar to, but shorter than, the fake podcasts you can create in NotebookLM. The "Beyond the Beat" host will break in every so often with relevant stories, trivia, and commentary about your musical tastes. YouTube says this feature will appear when you are listening to mixes and radio stations.
Amazon is not publicly saying so, but it would be smart for it to own the OS used in its proprietary streaming devices. Having full control over the OS running Fire streaming sticks, boxes, and TVs would give Amazon a stronger footing in one of the fastest-growing consumer tech markets. Seeking recurring revenue over hardware unit sales, TV industry players have been shifting focus toward software, and OS operators are seeing success in monetizing ads, tracking, and services.
Hallucinations have commonly been considered a problem for generative AI, with chatbots such as ChatGPT, Claude, or Gemini prone to producing 'confidently incorrect' answers in response to queries. This can pose a serious problem for users. There are several cases of lawyers, for example, citing non-existent cases as precedent or presenting the wrong conclusions and outcomes from cases that really do exist. Unfortunately for said lawyers, we only know about these instances because they're embarrassingly public, but it's an experience all users will have had at some point.
Imagine driving across town during rush hour. You might have a planned route, but traffic jams, roadwork, or weather force you to adapt - taking detours, checking traffic apps, looping back, or even stopping for coffee until things clear up. That's because our interactions with reality rarely follow a script; they're a series of adjustments and feedback loops. As the technology landscape continues to evolve, established practices are giving way to innovative solutions.
Many marketing leaders recognize the opportunity of using generative AI for marketing but struggle with a fundamental question: Where to begin? The challenge isn't whether to adopt generative AI but how to systematically identify which marketing tasks offer the highest opportunities with the most manageable risks. Join professor Oguz A. Acar from King's College London, a leading expert in AI and marketing innovation, as he provides a strategic road map for reimagining your marketing approach in the AI era.
The reaction is: 'Oh my God, this is all hype,' 'This stuff doesn't work. We're wasting our time.' Disaster, right? But if you dig into it, the real issue—and this is pervasive—is about evaluations. What are you trying to accomplish, and how do you evaluate it? And that's an organizational issue and a process issue. You have to understand the limitations of where we are with what AI can do, effectively benchmarking and evaluating from there: Is this effective or not?
Taboola continues to bolster Realize with new Generative AI features that are driving clear results for advertisers as well. Realize is a technology platform that delivers outcomes at scale for advertisers, leveraging Taboola's unique supply, first-party data and AI technology. It delivers simplicity and efficiency for advertisers to run performance-based campaigns on many of the world's largest and most trusted publishers across all ad inventory, OEMs and apps.
The cost of making high-quality media is collapsing. The cost of getting anyone to care about it is not. As generative A.I. turns production into a near-commodity, cultural power is shifting from studios and galleries to the platforms that allocate attention and the algorithms that determine who gets paid. The new patrons are not moguls with checkbooks; they are recommendation systems tuned for engagement and brand safety.
Every customer conversation today revolves around the same topic again and again: there's too much data, in too many places, and not enough clarity about who has access to what. In addition, AI tools like Microsoft Copilot, ChatGPT, and Gemini are accelerating how fast data is created, replicated, and shared. Suddenly, files are being drafted, saved, and distributed without any meaningful oversight.
