Articles about testing, automation, Salesforce, and software development. No fluff: what we see day to day with our clients.
Naveen Rao, former AI chief at Databricks, leads development of an oscillator-based architecture promising to revolutionize energy efficiency in AI inference. The first model demonstrates how to replicate conventional systems.
With $50M raised, the startup founded by ex-Meta researchers builds simulated digital worlds to stress-test AI agents, detecting failures and risks before they interact with customers. Demand is insatiable.
Amazon announces $13 billion investment in AI infrastructure in India, confirming the country's emergence as a critical global hub for AI computing capacity.
Adobe integrates Topaz Labs into its creative ecosystem to automate visual editing tasks with AI. A strategic move that strengthens its position against competitors and streamlines content production workflows.
The most disruptive startups from Y Combinator's Spring batch are automating corporate tasks. Tasklet, Lightsprint, Sazabi, and Superset lead an unstoppable trend for any organization evaluating technology.
NewCore raised $66M in seed funding to build platforms that authenticate, authorize, and control AI agents at scale, treating them as first-class identities within the enterprise.
The startup raises $300 million to train AI agents with spatial-temporal reasoning using 2 billion gaming videos. A critical leap toward embodied AI in robotics and manufacturing.
Observability platform Elastic acquires DeductiveAI for up to USD 85 million. A strategic move to integrate automatic incident repair AI across production environments.
Jeff Bezos backs Prometheus, a startup building an artificial general engineer capable of automating design and manufacturing of complex systems. A record investment that marks capital's shift toward AI applied to real industrial operations.
A SemiAnalysis report reveals that AI subscription plans can deliver value up to 70x their price if consumption is optimized. Learn how to maximize your investment in platforms like ChatGPT Plus and Claude Pro.
Anthropic launches the first public version of its Mythos model class with advanced capabilities in software engineering, featuring strict guardrails in high-risk areas like cybersecurity and biology.
Equal AI secured funding to scale its AI-powered call assistant, which now exceeds one million monthly active users. How this technology is transforming customer service automation.
Microsoft unveiled an open-source standard that enables granular control over what AI agents can do, combining security, auditing, and governance in a single portable framework.
Google makes its advanced thinking level in Gemini freely available to all users, democratizing complex problem-solving capabilities previously reserved for paid subscribers.
Attackers compromised Instagram accounts using Meta's AI agent in a surprisingly simple way: they just asked it to link accounts to email addresses they controlled. The case reveals that AI security goes far beyond the model.
Snowflake and Amazon Web Services announce a five-year strategic agreement focused on agentic AI infrastructure, signaling the direction for enterprise computing's future.
Robinhood launched investment accounts where AI agents autonomously build and manage portfolios. A milestone that signals the future of financial services.
The three most influential consulting firms in the world are abandoning hourly billing in favor of outcome-based pricing. Here's what it means for companies hiring professional services.
The enterprise AI search startup reached $300 million in annual revenue, proving that corporate AI value isn't about innovation for its own sake—it's about measurable efficiency and cost control.
Not everything should be automated and not everything should be manual. A short guide to decide which parts of the product justify test automation and which do not.
A simple formula to justify (or stop) the investment in test automation, and the 4 indicators that actually get measured after implementation.
The compressed process to get started with Salesforce without a 6-month project. What's in scope, what's deferred, and what happens if you rush it.
Bots that run validations, generate reports, and trigger deployments. When RPA adds value to a QA team and when it becomes unnecessary overhead.
