Enterprises run AI models inside their own data environments
SiliconANGLE: Enterprises bring AI to their data as privacy rules tighten and costs climb
Every enterprise AI strategy eventually comes down to the same question: Should proprietary data travel to the model, or should the model come to the data? As privacy rules tighten and geopolitical risk rises, more organizations are choosing the second option. That is changing how data platform providers present themselves, and Cloudera Inc. has built […] The post Enterprises bring AI to their data as privacy rules tighten and costs climb appeared first on SiliconANGLE.
Get smart on it
Enterprises face a fundamental choice about how to use AI with their data: send proprietary information to external AI services, or run AI models within their own data environments. More organizations are choosing the second option due to tightening privacy regulations, geopolitical concerns, and the high costs of using public AI providers at scale. Regulatory requirements like the European Union's Digital Operational Resilience Act and the U.S. CLOUD Act are pushing companies to demonstrate actual control over their data rather than simply claim it. Running AI locally inside existing data environments allows organizations to maintain data sovereignty, comply with regulations, and avoid escalating costs from token generation on public platforms.
Relevant courses
Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.
Browse AI courses on MavenRelated news
OpenAI's upcoming chat-and-work merger in ChatGPT signals the end of all-you-can-prompt pricing
OpenAI combines the Chat and Work modes into a single interface. Starting in December, Plus, Pro, and Business plans will share a common, token-based quota for ChatGPT and Codex. More complex models consume more of this quota, while simple instant chats do not count toward it. In practice, this is likely to result in a decline in ChatGPT’s quality for heavy users on lower-cost plans. The article OpenAI's upcoming chat-and-work merger in ChatGPT signals the end of all-you-can-prompt
An AI Agent Injected Drugs Into a Live Mouse’s Brain
A biotech startup let an agent choose a gene therapy and successfully inject the treatment, offering a startling glimpse of the future of research labs.
Also reported by The Decoder
Adobe is testing how well AI agents can use editing tools like a Photoshop professional would
Adobe Research and UC San Diego built EditAgent, an AI system that edits images more like a Photoshop pro. Instead of retrying the same general-purpose editor over and over, the agent picks the right specialized tool for each task and lets a standard language model choose the best result based on measured image data. The approach works, but it needs about ten times the compute. The article Adobe is testing how well AI agents can use editing tools like a Photoshop professional would appe
OpenAI is steering ChatGPT users toward more paid usage
OpenAI is now capping the number of paid ChatGPT accounts per device and payment card. Users who hit the limit can't start new subscriptions, and affected accounts can't be used on that device. Logging out doesn't automatically free up a spot. The policy will likely hit users who've been juggling multiple cheap subscriptions to maximize usage, pushing them toward pricier options like buying extra credits. The article OpenAI is steering ChatGPT users toward more paid usage appeared first
Google wants video AI to understand what people need as they work
A Google-led research team built StreamVibe, a video agent designed to watch people cook or assemble furniture and speak up only when help is needed. A benchmark shows that none of the tested models reliably pick the right moment in longer videos, as errors compound and response quality drops sharply. The article Google wants video AI to understand what people need as they work appeared first on The Decoder.
Google Deepmind creates a global map of forests with satellite data and AI
Google Deepmind and the World Resources Institute have released ForTy, a global map that classifies forests and other land into six categories, including primary forest, plantations, and tree crops. The map could help track deforestation under EU rules, but it identifies only about half of planted forests and tree-crop areas, and 60% of plantations. The article Google Deepmind creates a global map of forests with satellite data and AI appeared first on The Decoder.