When Marketing AI Institute founder and CEO Paul Roetzer posted his take on New York City's decision to ban generative AI in public school classrooms, the response was immediate and voluminous. Hundreds of comments flooded in, ranging from thoughtful to pointed to aggressive. Sorting through all of them manually would have taken hours.
55% of distributors have invested in ERP, CRM, ecommerce and analytics, but haven't connected them, according to Distribution Strategy Group's 2026 State of Distributor Technology report. DSG's conclusion is blunt: the next competitive advantage in distribution is system integration. That's an industry finding, but it's also the exact problem the Sales Performance Suite is built to...
Marketers have long sought visibility as a way to elevate their brand. But choosing heightened visibility at the sacrifice of credibility is a wrong choice, Wil Reynolds says.
When an AI agent causes harm, leaders must be able to defend why it was allowed to act. To a board, auditor, or regulator, they need to show that the agent’s permissions, controls, and approvals were matched to the consequences of failure. Treating guardrails as an on/off switch hides that decision. Guardrail risk tiering makes...
The post How much guardrail does your AI agent need?...
Generative AI is entering clinical workflows just as healthcare institutions grapple with black-box outputs, unclear regulation, and the need for provable accuracy.
In this episode, Rhett Alden, CTO at Elsevier, joins Emerj's Yolandi de Weerdt to articulate how claim-level validation and transparent sourcing are becoming prerequisites for clinical trust in AI. The conversation...
Danijar Hafner’s office in San Francisco’s SoMa district sits mostly empty. His brand-new startup is still in stealth mode and doesn’t even have its name on the door. On the day I visit, there’s only one other person there, and little in the way of furniture. But what it lacks in decor, it makes up…
Ask ten data engineers to name the most trusted ETL tools and you’ll get a short list of products followed by a much longer list of caveats. This guide covers the tools that hold up in production, including Fivetran + dbt Labs, Airbyte, Matillion, Qlik Talend Cloud, Informatica, and the native services from the three […]
As LLM applications grow more complex, inference cost and latency become increasingly important. A single request can contain thousands or even millions of tokens from system instructions, conversation history, retrieved documents, tool definitions, and user input. Reprocessing the same information again and again wastes both time and compute. Caching helps avoid this repeated work. But...
Last week, a GitHub notification arrived while I was asleep: a bug had been reproduced in staging, documented with screenshots, and assigned to the right engineer. A bot I set up four days earlier did the work overnight. That is the gap Grok Bot is designed to close. Instead of suggesting what to do, it […]
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OpenAI has released GPT-6 Astra, its newest frontier model, less than a week after Anthropic’s Claude Fable 5.1. OpenAI calls Astra the world’s most intelligent and aligned model yet. What actually makes Astra different? The simplest way to put it is this: Astra is built to do more, not just answer more. It can use […]
The post GPT-6 Astra: What’s Actually New in OpenAI’s New Frontier...