Today, business leaders around the world, especially those in charge of consumer packaged goods (CPG) companies, are using artificial intelligence (AI) in their distribution networks and supply chain as part of their constant evolution in such a competitive market. Their main objective in leveraging AI is to obtain more precise and efficient demand management, leading to correct and optimal management of inventories, cost reductions and revenue growth.

Mainframes. Just the word alone can conjure up images of massive, humming machines sitting in a data center, quietly running the backbone of your business. These systems have been around for decades, rock-solid and dependable, but let’s be honest—they’re not exactly built for the speed and flexibility of today’s tech world. The good news? You don’t have to retire your trusty mainframe to keep up with modern demands.

Packet loss is one of the most common network problems that can occur at any moment, impacting various applications and services, including Internet performance. When users experience issues like slow loading times or dropped connections, their first instinct may be to wonder: Is the packet loss on my end or my ISP's end? How can I know if my ISP is experiencing packet loss? This question is crucial for both customers and ISPs.

Ever wondered what keeps K12 IT professionals up at night? Outages, technology changes, and device management are just the beginning. Our survey reveals the real struggles of K-12 IT staff. With responses from 51 experts, we dive into their biggest concerns and emerging trends. Discover what keeps them busy and how they’re adapting in a rapidly evolving tech landscape.

AWS enables customers to retry or redrive Step Functions executions to continue any failed executions of Standard Workflows from their points of failure while maintaining all inputs. For example, if you find broken downstream logic in your code or experience unexpected errors upon execution, you can remediate those errors by fully re-running an execution or use redrive to continue this execution.

Microsoft Azure has announced the general availability of their confidential virtual machines (VMs) with NVIDIA H100 Tensor Core GPUs, powered by Ubuntu. This offering combines the hardware-based protection of AMD EPYC processors with NVIDIA’s latest GPU technology to enable secure and high-performance AI workloads in the cloud. Combining these technologies allows sensitive sectors to unlock AI adoption through addressing previous concerns of critical data privacy.