In the rapidly emerging artificial intelligence economy, organizations will split into two groups: those who are good at AI and those who are bad at business. Most experts agree that AI won’t replace humans, but instead augment us in a world of mixed autonomy. You’ll need new structures to harness AI’s transformative potential while managing its very real risks—the biggest of which is data privacy. So how can leaders handle AI and privacy risks?

The operating system is like the boss of your computer, handling security, networking, and keeping an eye on what’s happening. But tweaking or improving the core part of the operating system, called the kernel, is a bit tricky because it’s mainly focused on keeping things stable and secure. Most cool new stuff usually happens outside the core system, in what we call the user space. That’s where people add extra features or functions.

January 28th is Data Privacy Day, an international effort to empower individuals and encourage businesses to respect privacy, safeguard personal data and enable trust. In fact, it so important that the National Cybersecurity Alliance has a focused program for a full week. Data privacy is not just a legal concern, it concerns everyone.

Just imagine… You wake up during the night with the desire to create an application….an application that could take the digital world by storm! But, suddenly you realize that you’re going to require funds to achieve this goal. So, what are the next steps, and how to get app investors to bring your brilliant idea to life?

The digital engineering and assurance landscape is swiftly changing, propelled by technological strides, sustainability initiatives, and shifting industry needs. With 2024 on the horizon, distinct trends are surfacing, demanding attention from sector experts and companies aiming to maintain their competitive edge.

Exploratory testing involves testing system behavior under various scenarios, with a predefined goal but no predefined tests. This focus on discovering the unknown makes exploratory testing both powerful and challenging. “Exploratory testing is a systematic approach for discovering risks using rigorous analysis techniques coupled with testing heuristics.” Elisabeth Hendrickson.

A great UX indeed feels like magic! Don’t you sometimes observe how effortless it feels when we surf any website or app with extraordinarily fantastic design, leaving us with the question, ‘How did they even manage to do that?’ Well, an excellent user experience starts by truly satisfying the demands of your clientele. You must carry out their particular task in a simple, seamless manner.

As SmartBear's Chief Product Officer, I'm thrilled about our acquisition of Reflect, a Generative AI-powered no-code testing platform. Here's why: This is just the beginning of an exciting new chapter, and we can't wait to see the innovative solutions we build together.

Partnering with LaunchDarkly, we’ve integrated feature flags into Release Management, bringing you a more transparent and centralized solution for your mobile app releases.

We talk a lot about how customers can use Confluent as the data backbone for event streaming applications and enable a new class of event-driven microservices by completely decoupling services from one another. With Confluent, organizations can rapidly build and deploy business applications with greater flexibility, support larger scale, and be more responsive to customer demands. But we don’t just talk about it, we do it ourselves as Confluent’s “Customer Zero”!