Texas is the fastest-growing data center market in the US and ground zero for Big Tech’s largest AI buildouts. But the blue wave that swept the Lone Star State may jeopardize that position. Democrat James Talarico won the US Senate seat against Ken Paxton. Gina Hinojosa won the race for governor against the Republican incumbent,…
Translating content into every language a company serves has become fast and inexpensive, but accurate translation does not ensure that content engages or converts in each market. In this episode, Andrew Thomas, Head of Marketing at Acclaro, explains why global content performance is a governance issue rather than a translation issue, and why leaders should judge localized content by the...
A government entity may use data from several departments, infrastructure from one provider and an AI model from another. But when the resulting decision affects the public, responsibility does not divide as neatly as the technology does. For government organizations, control over digital sovereignty is best understood as retaining the [...]
The post Digital sovereignty and control in...
A sales representative asks an AI agent for customer pricing, and the agent pulls data from multiple sources: restricted pricing systems, internal communications, and archived quotes. The output looks accurate to the agent, so a second agent uses the data to draft the proposal for the sales rep. No human checks either handoff. When it’s…
Building an AI agent is one thing. Making it available to an entire team is another. Shared access, permissions, integrations, and reusable workflows determine whether an agent becomes a reliable team resource or another setup everyone must recreate. Platforms approach this differently. Some share a single assistant, others coordinate multiple agents, while some distribute independent...
Conditional generation enhances synthetic data by allowing data scientists to generate targeted, realistic datasets with specific characteristics, helping improve model training, testing, fairness, risk management and trustworthy AI.
The post Beyond balancing data: How conditional generation makes synthetic data more useful appeared first on SAS Blogs.
Organizations are investing heavily to make AI more trustworthy: building governance programs, establishing AI policies, documenting models and investing in explainability tools. These are all important steps, but what if one of the biggest barriers to trustworthy AI lies somewhere else entirely? What if it's the data? The Data and [...]
The post The AI trust gap might actually be a...
A new approach known as “reverse game theory” aims to control powerful AI models by designing systems that incentivize them to stick to the rules. As AI models become more capable, safety researchers are scrambling to ensure they are “aligned” with human desires—to make sure, in other words, that rogue agents don’t break the law,…
Proprietary models are amazing! But sometimes what is of importance is configurability rather than raw power. This has led to the emergence of locally hosted models. Running AI locally gives users more control over their setup. With suitable hardware and tools like Ollama and LM Studio, capable models can run entirely on-device. But which models are worth running, […]
The post Top 5...
New Pulse of AI Podcast. Season 8, Ep 173
Pulse of AI Podcast Host Jason Stoughton is joined by Michael Davies.
As Senior Lecturer at the Massachusetts Institute of Technology, Michael teaches Breakthrough Innovation: Harnessing AI to Create Value, and Ethics of AI: Building Responsible AI, Machine Learning, and GPTs and on the Technology Leadership Program and the CXO programs...