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LETA or Sendy? Best Last Mile Delivery Software in 2026

Last-mile delivery software is important for businesses that want to speed up delivery, lower operational costs, and keep track of logistics in real time. By 2026, more companies will be using smart platforms that provide automation, route planning, and live tracking to meet growing customer demands. As delivery operations grow more complicated, picking the right platform can greatly affect efficiency, customer satisfaction, and scalability. This comparison looks at two popular last-mile delivery solutions, focusing on their performance, automation, and operational control.

How AI Video Tools Like Face Swap Are Expanding Creative Workflows

I have spent a lot of time looking at how businesses create content, and one thing has become very clear to me: video is no longer a separate creative format. It has become part of everyday communication. Marketing teams use video for campaigns. HR teams use it for training. Product teams use it for explainers. Founders use it for updates. Even internal documentation is becoming more visual.

The New Campus is Everywhere: How Tech Flipped the Script on the College Experience

For decades, the standard for higher education was defined by physical proximity-lecture halls, libraries, and lab benches. However, the last few years have forced a massive acceleration in how universities view their role, shifting from institutions that simply "use" technology to those that are entirely defined by it. We are seeing a move toward the fully digital campus, where the infrastructure is built in the cloud and student engagement happens through sophisticated data ecosystems.

The Role of AI Chatbots in Modern DevOps Incident Response

Modern DevOps environments demand speed, accuracy, and continuous availability, especially when incidents disrupt critical systems. As organizations scale their infrastructure, traditional response methods often struggle to keep pace with the volume and complexity of alerts. This is where intelligent AI chatbots for customer support are becoming essential, as they provide real-time conversational interfaces that connect teams to automated workflows, incident data, and resolution tools, much like the capabilities showcased in advanced enterprise conversational AI platforms.

Ep 41: The cost of not thinking: Who's responsible when AI agents get it wrong?

In this episode of Masters of Data, we get into the messier side of AI adoption, tackling questions like who actually owns the output when AI gets it wrong, and whether chasing efficiency is making us forget what it means to be human in the first place. We discuss tech CEOs proudly announcing they no longer think for themselves and debate whether AI is quietly eroding our critical thinking skills. We make the case that purpose-built, narrow AI is genuinely exciting, but that no efficiency gain is worth losing the human touch that makes work, connection, and creativity meaningful.

The AI Paradox: Why You Have To Spend More And Can't Explain Where It Goes

AI adoption costs are going parabolic. The companies that can see what they're spending will invest with confidence. Everyone else is flying blind. Every company adopting AI is facing the same problem: the cost of AI adoption in products, in operations, and especially in engineering is accelerating with no alignment between spend and value. The competitive pressure is real. Companies that don’t invest in AI will be displaced by those that do. But the investment itself is becoming inscrutable.

SmartAssist and SQL Analytics - AI-powered querying

SQL Analytics has always been one of my favourite SquaredUp features. That's not just because I can use raw SQL to achieve complex data transformations. The fact that I can run SQL queries over data from all sorts of sources — not just relational databases, gives incredible power and flexibility. The great news is that SQL Analytics now ships with our AI-driven SmartAssist technology.

Your Enterprise is Running AI. But Who is Governing It?

If you’ve been online in the last fortnight, you’ve probably seen ServiceNow’s “Kevin” memo, the fictional 2028 post-mortem about an enterprise where the AI agents won, the governance team was eliminated, and a single AI governance lead named Kevin spent two years filing risk assessments that were auto-resolved before anyone read them.

Harness Lives Inside Cursor Now - Plus Everything Else That Shipped in April

April was a big month at Harness. AI is changing how code gets written — and the rest of the SDLC is catching up. In this update, Dewan Ahmed walks through Harness product releases across three themes: AI in the developer workflow, security and governance for AI assets, and self-service maturity for developers and platform teams. What's covered (with timestamps): Found this useful? Subscribe for monthly product updates, and drop a comment telling us which release you want a deep dive on next.