Latest news with #GeminiAI
Forbes
a day ago
- Business
- Forbes
Inside The AI Hype Cycle: What's Next For Enterprise AI?
You might have read about AI—the next technology revolution that is boosting the stocks of some technology leaders such as Microsoft and Nvidia to new all-time highs. There is no doubt that the world is adopting AI at an unprecedented pace—but for a full embrace from the business community, more work needs to be done. Google's Gemini AI tells me with data sourced from S&P Intelligence that aggregate AI revenue is projected to reach $85 billion by 2029, marking a substantial increase from the estimated $16 billion achieved in 2024. OpenAI alone reports that its annual recurring revenue is expected to reach $12.5 billion in 2025, which is a remarkable growth rate for a 10-year-old startup. As we reach new highs in the hype cycle for AI, it's important to keep things in perspective: The full impact and return on investment in AI is as yet unknown. That's why it's important to track exactly how it's being adopted and where the strongest uptake is happening so far. The Nuances of Enterprise AI Adoption Dig beneath the surface, and AI adoption is nuanced. Many consumers are still in the discovery phase of AI. Others are just worried it's going to take away their jobs. On the enterprise side, there are many challenges. Not all enterprises (businesses) know how to implement AI safely. There are cases in which AI service deployment has had massive success, yet other cases where there have been disappointments and failures. The enterprises we have studied and spoken with confess they are struggling to adopt AI because of specific challenges—safety, data sovereignty, and cost, to name the most highly cited challenges. They want to be careful about how AI is deployed, because it could produce a mission-critical error, result in a lawsuit, or expose critical data. Will There Be a Dot-Com Correction for AI? With AI-related valuations in the stratosphere, it's hard to imagine that this great AI explosion won't experience some sort of setback—just as the Internet did in 2001-2002—as investors digest the reality of living up to enormous expectations built into the market. The Internet correction wasn't a bad thing. As the technology matured and got cheaper in price, it paved the way for hypergrowth of some of the best companies in the world, such as Amazon and Google (Google actually didn't go public until 2005). The Internet correction lowered costs and allowed more time for the market to develop. The same trajectory is likely for AI. For investors, the sweet spot of AI has been in the infrastructure market, where the "picks and shovels" strategy has been the best opportunity for investors. As the explosion of generative AI services and startups blossoms, demand for new datacenters and compute power has boosted players such as Nvidia, AMD, and Arista Networks—to name a few—which are providing the hardware to mine for AI gold. Based on recent capital spending projections, Futuriom expects at least $300 billion to be spent building out AI-related datacenters this calendar year—with a trillion expected over the next three years. But the rate of the buildout could depend on how fast ROI is delivered in the AI segment. Winners and Losers in Enterprise AI The hyperscaler segment has also enjoyed great success, with Amazon, Google, and Microsoft all spinning out new tools and services that enable AI. The neoclouds such as CoreWeave and Nebius are not far behind, building out specialized GPU clouds for AI-related applications. We have noted that AI stalwarts such as Microsoft and Nvidia have probed new highs in their stock-market valuations, but not everybody is faring as well. Others have not fared as well for investors. For example, Apple's AI strategy has underwhelmed consumers and markets, and its shares remain down 20% on the year. The current rumors are that Apple is willing to pay upwards of $20 billion for a startup to fix its AI strategy—potentially its largest acquisition ever. In another example, Adobe shares are down 13% on the lack of pull-through for its new AI services, which had at one point last year been built into the share price. In the case of Adobe, AI might represent a competitive threat rather than a boost. For example, customers could seek out new AI-enabled graphics tools and alternatives spawned by the advent of GenAI. Key Use Cases for Enterprise AI We have studied more than 100 enterprise deployments, and what we are finding are pockets of success concentrated in specific use cases. For example, we are seeing that AI deployments are been favored in specific verticals, such as financial services/insurance, healthcare, and retail—the top three verticals identified in our sample of deployments. Many of the key applications are specific use cases, such as documentation automation and customer service that replaces human workers. So far, enterprise AI is a productivity play. According to our analysis of more than 100 deployments, the top benefits cited include the following: One of the largest revelations of our early data analysis is that custom, proprietary AI platforms garner lots of interest. Again, this demonstrates the nuances needed to deploy AI in the enterprise—with data sovereignty, safety, and security looming large. Most enterprises are more comfortable building their own AI solutions and 'owning' the platform, according to our research. In the 100+ enterprise use cases we examined, proprietary AI platforms were the most common, with Google Vertex, Microsoft Azure AI, and Amazon Bedrock being the next most common platforms used by enterprises, in that order. The most common AI model across all use cases and verticals was OpenAI's ChatGPT. When you dive into the top three segments we looked at—financial services/insurance, healthcare, and retail—once again proprietary AI platforms were the most popular. So what is the takeaway for AI investors? AI adoption is messy at best, and success will come down to execution for specific use cases. One emerging theme we have distilled is that enterprises are going to be particularly sensitive to the security, safety, and privacy of their data—leading to highly customized solutions on private infrastructure. An AI shakeout may have already started. And the technology companies going after enterprise dollars will need to finely tune their offerings around operational efficiency while delivering high levels of safety and data security—at the same time figuring out the sweet spot for user adoption.
News18
2 days ago
- Business
- News18
Apple Could Team Up With OpenAI Or Anthropic To Power Siri AI Features
Apple has delayed the Siri AI till 2026 and it seems the company is now looking for external help to power its AI-centric voice assistant. Apple's AI journey has hit multiple hurdles and the company is yet to fully challenge ChatGPT and Gemini AI in the market. And now reports suggest Apple could look at external help to power its own Siri AI push rather than invest in building its AI models. Yes, Apple could team up with OpenAI or Anthropic for ChatGPT or Claude AI chatbot, respectively that will become the backbone on which Siri offers its AI-powered upgrades. The company was widely tipped to make big AI related news at the WWDC 2025 keynote in June but that didn't work out as expected. Now, Apple could be making a smart move by using the available AI models and focus on other parts of its ecosystem. Apple AI Powered By ChatGPT Apple has already partnered with OpenAI to make ChatGPT work on iPhones. But the new linkup will mean that the company will entirely rely on ChatGPT or Claude AI to make Siri talk in the conversational tone, which could also include sending data to the OpenAI server for using more features. The fact that Apple is not finding it hard to develop powerful AI models will surely become a concern in the long term, especially for a brand that is valued at well over trillion dollars. People have known Apple to be a leader in the industry rather than following others, which could very well be the case when it comes to its own AI prospects. OpenAI will surely be happy with any possible deal with Apple, however, it is likely that the Cupertino-based giant will require any of the Siri AI support to work through its own private AI cloud powered by its data centres. After all, Apple continues to vouch for user privacy and that could become a hindrance for possible deals with either of these AI companies. The AI Regrets? The company has been grilled over its AI strategy and in a recent interview with WSJ, both Craig Federighi and Greg Joswiak were asked why Siri is worse than its rivals. Both Apple executives did not have a clear response, and reports suggest Federighi is a big reason as to why the company has fallen short in the AI arena till date. Apple has reportedly never understood the hype around AI and those apprehensions have resulted in a situation where the company needs a helping hand from other established AI giants.
Phone Arena
2 days ago
- Business
- Phone Arena
Google's latest AI rollout targets students and teachers in surprising ways
Google is expanding its Gemini AI tools into the classroom with a range of new features for students, educators, and school administrators. Called Gemini for Education, the update adds AI-powered tools to Google Workspace for Education at no extra cost, with built-in privacy protections and admin controls. The version of the Gemini app being introduced is powered by Gemini 2.5 Pro. It offers access to Google's premium AI features, along with higher usage limits, enterprise-level data protection, and admin management. These tools are now considered core services in Workspace for Education, which means schools can use them with the same oversight as other Google services. One key update is that Gemini in Classroom is now free for all Workspace for Education editions. Over 30 new features are being added to help teachers plan lessons more efficiently. These include tools to automatically create vocabulary lists with definitions and example sentences, making it easier to tailor lessons to different learning levels. Google is also expanding NotebookLM, a note-taking and research tool. It already includes Audio Overviews, and now it's getting Video Overviews that let users turn written content into short videos. Teachers using the paid Workspace with Gemini add-on can also create short videos using Google Vids, and Gemini in Forms can now auto-generate surveys or quizzes based on files stored in Drive. Veo 3 in Google Vids. | Image credit — Google Students can also use Gemini Canvas to make personalized quizzes for studying. This tool is currently for students 18 and older but will soon be available to younger users. Gemini is also starting to include visuals like diagrams to explain complex topics more clearly. Additionally, instructors will soon be able to assign custom AI agents called Gems and class materials in NotebookLM directly through Google Classroom. These features will also be supported in Schoology Learning and Canvas platforms. Google says it has taken steps to make these tools safe for students. That includes AI literacy training, stronger content filters for users under 18, and stricter privacy protections. Data from education users won't be used to train Google's models, and NotebookLM will be available to younger students in the coming months. Admins can control access to these tools in the Admin console, monitor usage, and search through Gemini app conversations within their domain. The platform has also been awarded the Common Sense Media Privacy Seal, which may give schools added confidence. While the updates offer time-saving tools for teachers and new learning options for students, how well they work in classrooms will likely depend on how schools implement and monitor them. I think it's always good when new tools are expanded free of charge to benefit the education sector. The more tools available, the more possibilities students have of learning and putting into practice what they have learned. Secure your connection now at a bargain price! We may earn a commission if you make a purchase Check Out The Offer
Yahoo
2 days ago
- Yahoo
Google embraces AI in the classroom with new Gemini tools for educators, chatbots for students, and more
Google on Monday announced a series of updates intended to bring its Gemini AI and other AI-powered tools deeper into the classroom. At the ISTE edtech conference, the tech giant introduced more than 30 AI tools for educators, a version of the Gemini app built for education, expanded access to its collaborative video creation app Google Vids, and other tools for managed Chromebooks. The updates represent a major AI push in the edtech space, where educators are already struggling to adapt to how AI tools, like AI chatbots and startups that promise to help you 'cheat on everything,' are making their way into the learning environment. School-aged kids and teens today are more likely to ask ChatGPT for help with their homework (or to even do it for them) than they are to ask a teacher to explain the concepts again. In higher ed, meanwhile, colleges are wrestling with whether or not plagiarism detectors can even identify AI-written content. Amid this disruption, Google is charging ahead with AI tools, saying it thinks that 'responsible AI' can help drive 'more engaging and personalized learning experiences,' when used in conjunction with human-led teaching. Since announcing its plans to bring Gemini to the classroom last year, Google on Monday said that its Gemini AI suite for educators is now available for free to all Google Workspace for Education accounts. This includes over 30 new features, like the ability for teachers to brainstorm ideas, generate lesson plans, and personalize content for students using AI technology. Over the next several months, Google will give teachers the ability to create interactive study guides using the AI research tool Notebook LM, along with their classroom materials. Teachers can also create custom versions of the Gemini AI called 'Gems,' which will work as AI experts that help students who need extra support or want to better understand the subject. This is essentially just taking an activity that students are already doing — asking an AI chatbot to explain a topic or answer questions — and redirecting that activity back to Google's own AI technology, where it's specifically been trained on the teacher's own classroom materials. Soon, teachers will also be able to offer students real-time support for the AI-powered reading buddy when using the Read Along in Classroom tool. Google is expanding basic access to its AI-powered video creator, Google Vids, as well, to make it available to all Google Workspace for Education users. Teachers can use the tool to make instructional videos, while students can use Vids for things like book reports or other assignments. The company is also rolling out a series of new features designed to track student progress against learning standards and skills, view analytics on student performance and engagement, better secure Gemini user data and data in Gmail, manage who has access to AI tools like Gemini and Notebook LM, have better control over Google Meet waiting rooms, and more. Plus, along with a handful of updates for managed Chromebooks, Google introduced new teaching mode called Class Tools. This allows teachers to connect directly with their students via Google Classroom and share content to the kids' screens, like videos, articles, slides, and quizzes. These tools can be adapted to the student's own language, if need be, and are designed to keep kids focused on learning by restricting browsing to specific tabs. Sign in to access your portfolio
Forbes
2 days ago
- Business
- Forbes
Google Overhauls Its Education Suite With Free, Powerful AI For All
Top down View: Children in a School Use Tablets and Laptops to Study Digital Literacy, AI Data Lines ... More Connect into Learning. Diverse Kids Connected Through Digital Knowledge Network, Modern Technology Today at the ISTE education conference in San Antonio, Google dropped a series of announcements that could fundamentally reshape how AI fits into the classroom. In a sweeping move that positions artificial intelligence not as an add-on but as the new baseline, the company introduced major updates to its education suite. These updates make its most powerful tools free for schools across the globe. At the heart of the rollout is Google's Gemini AI, now fully integrated across its ecosystem for education. No longer gated behind premium subscriptions or experimental rollouts, Gemini is now baked into Google Workspace for Education at no cost. That means millions of teachers and students now have direct access to one of the most advanced AI models in the world, with higher usage caps than what's offered to average consumers. 'We're not just adding features,' said Shantanu Sinha, VP of Google for Education. 'We're reshaping the entire foundation of how we support teaching and learning in the AI age.' A New Standard The biggest headline from Google's announcement is simple but seismic: Gemini for Education is now the default experience for all Google education accounts. Schools that once hesitated due to budget or privacy concerns now find themselves with enterprise-grade tools and protections. Crucially, Google reiterated that it won't use educational account data to train its models. This point was underscored by its recent certification from Common Sense Media, a third-party privacy seal that will likely ease administrators' nerves. For schools wanting deeper AI capabilities, a new premium tier called Google AI Pro for Education is also launching. It rolls previous paid tiers into one consolidated offering, unlocking features like AI-generated audio lessons and expanded content creation tools. AI in the Classroom The most visible impact will likely be felt in Google Classroom. Teachers logging in will soon see a new Gemini tab, a sort of AI control center offering over 30 education-specific tools designed to streamline and enrich teaching. Teachers can now generate entire lesson plans, build vocabulary lists with example sentences, craft math problems and quizzes, draft parent emails, and even receive prompts to gamify classroom content. And all of this is free to anyone with a Google Workspace for Education account. 'We're giving teachers their time back,' said Cinthya Mohr, a product lead at Google Classroom. 'Our goal is to let them focus on the art of teaching, not the paperwork behind it.' Personalized Learning Google also revealed new student-facing tools that expand the concept of personalized AI-powered learning. NotebookLM, a popular research and study assistant, will soon be available to students under 18 via school accounts. Google says it includes content safety layers tailored for young learners. Meanwhile, 'Gems', which are customizable versions of Gemini built around specific educational goals, can now be created by instructional leaders and shared across an entire district. A teacher might design a Gem trained solely on class materials, transforming it into a Socratic tutor for after-school study help. These tools can be assigned through Google Classroom or integrated platforms like Canvas and Schoology, creating a seamless workflow between planning, teaching, and learning. In addition, teachers will now be able to use NotebookLM and Gems to: Educators will also be able to tag coursework with national or state learning standards and get analytics on student performance across assignments. Smarter Tools for Creativity Creativity also gets a boost through the expanded rollout of Google Vids. Now available to all Google Workspace for Education users, Vids allows: Smarter Devices AI's reach doesn't stop at software. Google is also upgrading the hardware and systems that run the modern classroom. A new teaching mode for managed Chromebooks, dubbed Class tools, gives educators real-time classroom control. Features include: Broadcasting instructions with live-translated captions for multilingual or hearing-impaired learners. Real-time student screen sharing, helping teachers track focus or showcase work. A 'Focus mode' that locks devices to specific tabs or apps, reducing distractions and helping younger students navigate with ease. On the device front, Google is partnering with Lenovo to launch the first Chromebook Plus with a Neural Processing Unit (NPU), enabling fast, on-device AI processing. New Chromebox OPS units from partners like LG and CTL will also make it easier for schools to convert smart boards into ChromeOS-powered teaching hubs. Looking Ahead Taken together, these announcements mark a shift for Google and the entire educational tech sector. By embedding powerful AI directly into free tools already in widespread use, Google is forcing a rethink of what digital learning should look like in 2025 and beyond. Where AI once required extra funding, special training, or cautious pilots, Google is trying to make it turnkey. The road ahead isn't without its bumps. Many schools may lack the modern hardware needed to fully benefit from these upgrades. And while the tools are user-friendly, effective adoption will still depend on investing in professional development. Teachers need support—not just to use AI, but to shape it into something that reflects their values and pedagogy. But if there's one clear message from Google's ISTE showcase, it's this: the AI era of education has well and truly arrived.
