AWS is a company that has multiple security offerings, but doesn't try to make money from them. Security isn't a business for AWS as much as it is a base layer for everything it does. Here's a look at AWS re:Inforce 2025 and my key takeaways.
Uber is expanding its AI and data services unit, Uber AI Solutions, as it looks to support labs and enterprises looking to build AI models and deploy agents.
Accenture launched Reinvention Services, a business unit that will bring together its AI assets in one integrated unit. Manish Sharma, Accenture's CEO of the Americas, will become chief services officer.
Microsoft said it has developed quantum computing error-correction codes that can create a 1,000-fold reduction in error rates. The company also said it is landing on-premise interest for its Quantum compute platform, a collaboration between Microsoft and Atom Computing.
If you hollow out critical thinking with AI then you'll have a bunch of know-nothings in the future. You may be trading productivity today for dumbasses in the future.
OpenAI and Microsoft are going to be rivals as the companies increasingly appear to be tilting away from the frenemy and partner model that has paid off so well for both companies.
Amazon Web Services is using its Nova models for tailored use cases including cybersecurity. Other takeaways from a chat with Amazon and AWS chief information security offers included the combination of physical and cybersecurity and how humans and AI code differently.
For Amazon Web Services customers, the continuum between security services and the rest of the cloud vendor's portfolio covering storage, data, AI and compute tends to blend together.
Salesforce has raised prices across multiple products as it continues to hone pricing for AI and Agentforce.
AWS Chief Information Security Officer Amy Herzog said cybersecurity is becoming more about the time to act than time to detect due to the sheer scale of incidents and alerts. Hertzog pitched a more active defense approach amid emerging AI use cases.
Adobe launched LLM Optimizer, an application that aims to enable brands to optimize content and messaging as consumers move from traditional Google search to genAI and LLM-generated summaries.
Your vendor is likely to tell you that there's an easy button for agentic AI, but Anthropic's post gives you some questions to ask about the architecture behind the marketing.
