Employees across every function are expected to make faster, better-informed decisions, but the information that they need rarely lives in one place. Workforce intelligence (who is in your organization, how they are performing, and where the gaps are) is one of the most valuable signals an enterprise has, and platforms like Visier are purpose-built to …
Read more “Building Workforce AI Agents with Visier and Amazon Quick”
At Google Cloud, every day is Developer Day, but none so much as day 2 of Google Cloud Next, when we hold the developer keynote. This year’s topic? An in-depth look at Gemini Enterprise Agent Platform. This year’s theme? Planning a marathon for 10,000 participants through the Las Vegas Strip. OK, let’s run with it. …
Read more “Day 2 at Google Cloud Next: A marathon developer keynote”
If an Ember mug is at the top of Mom’s wish list, this sale is worth checking out.
In the race to make AI models not just reason better but respond faster, latency—the delay before an answer appears—is often treated as a purely technical constraint, something to minimize and move past. But how is this relentless push for speed actually impacting the people using these systems every day?
Let’s face it, AI is forbidden to be praised or used in pretty much any online community outside of AI-focused sites without mass anger and vitriol in said communities. the same old strawman takes and insults show up pretty much every time someone posts an ai-generated image/video on other subreddits. They always say that AI …
The idea of building your own AI agent used to feel like something only big tech companies could pull off.
Recurrent Neural Networks (RNNs) are naturally suited to efficient inference, requiring far less memory and compute than attention-based architectures, but the sequential nature of their computation has historically made it impractical to scale up RNNs to billions of parameters. A new advancement from Apple researchers makes RNN training dramatically more efficient — enabling large-scale training …
Read more “ParaRNN: Large-Scale Nonlinear RNNs, Trainable in Parallel”
Imagine the following scenario: You’re leading marketing campaigns, creating content, or driving demand generation. Your campaigns are scattered and your insights are buried. By the time you’ve pieced together what’s working, the moment to act has already passed. This isn’t a tools problem because you have plenty of those. It’s a connection problem. Your marketing …
Read more “Amazon Quick for marketing: From scattered data to strategic action”
The master sergeant allegedly used classified intel to profit on the capture of Venezuelan president Nicolás Maduro, marking the first US arrest for insider trading on a prediction market.
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