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On November 30, 2022, OpenAI introduced a new product to the world, innocuouslydescribing itas “a model called ChatGPT which interacts in a conversational way.” It’s no hyperbole to suggest that ChatGPT subsequently transformed the worlds of business and tech, becoming enormously popular — it’s still in the number one spot on Apple’s free app rankings […]

Hybrid cloud security was built before the current era of automated, machine-based cyberattacks that take just milliseconds to execute and minutes to deliver devastating impacts to infrastructure. The architectures and tech stacks every enterprise depends on, from batch-based detection to siloed tools to 15-minute response windows, stood a better chance of defending against attackers moving

Enterprises are investing billions of dollars in AI agents and infrastructure to transform business processes. However, we are seeing limited success in real-world applications, often due to the inability of agents to truly understand business data, policies and processes. While we manage the integrations well with technologies like API management, model context protocol (MCP) and

American consumers spent $11.8 billion online on Black Friday, according todata from Adobe Analytics, which says it tracks more than 1 trillion visits to U.S. retail websites. That’s a new record, and up from $10.8 billion spent on Black Friday last year, Adobe says. Between 10am and 2pm, online shoppers were supposedly spending $12.5 million

As AI systems enter production, reliability and governance can’t depend on wishful thinking. Here’s how observability turns large language models (LLMs) into auditable, trustworthy enterprise systems. Why observability secures the future of enterprise AI The enterprise race to deploy LLM systems mirrors the early days of cloud adoption. Executives love the promise; compliance demands accountability;

In early November, a developer nicknamed Cookie entered a routine conversation with Perplexity. She often tasks it to read her developer work in quantum algorithms and write a readme file and other documents for GitHub.   She’s a Pro subscriber and uses the service in “best” mode, meaning it chooses which underlying model to tap from

Agent memory remains a problem that enterprises want to fix, as agents forget some instructions or conversations the longer they run.  Anthropic believes it has solved this issue for its Claude Agent SDK, developing a two-fold solution that allows an agent to work across different context windows. “The core challenge of long-running agents is that

Vibe coding has taken the tech industry by storm, and it’s not just the Lovables and Replits of the world that are winning. The startups building the infrastructure behind them are cashing in too.  Today on TechCrunch’s Equity podcast, Julie Bort sat down with Copplestone to explore Supabase’s rise and what it means for vibe coding, developers and the database giants who have historically controlled this market.  Why Copplestone believes “the death

Hello, dear readers. Happy belated Thanksgiving and Black Friday! This year has felt like living inside a permanent DevDay. Every week, some lab drops a new model, a new agent framework, or a new “this changes everything” demo. It’s overwhelming. But it’s also the first year I’ve felt like AI is finally diversifying — not

For years, when it was time for startups to start selling their product, they could turn to any number of traditional playbooks. But as with so many things, AI is changing how companies prepare to go to market. “You can do more with less than ever before,”Max Altschuler, general partner at GTMfund, told the audience