In this article, Sulagna Saha discusses how HPE will utilize its acquisition of longtime Field Day company Morpheus Data for its expertise and innovations in the hybrid space.

In this article, Sulagna Saha highlights the discussion from the Gestalt IT Rundown this past week, where hosts Stephen Foskett and Tom Hollingsworth discusses the architecture and performance of IBM’s Blue Vela, telling the audience what to expect.

AMD announced that it is planning to acquire computer hardware design company ZT Systems, for a cash-and-stock deal of $4.9 billion. The acquisition significantly expands AMD’s footprint in AI chips and hardware space. Chief Executive Lisa Su hopes that the acquisition will bring big momentum to AMD’s long-term goal of rapidly delivering training and inferencing solutions. Analysts are calling this a calculated move that revalidates AMD’s commitment to stay in the race and better compete with NVIDIA.

The rapid rise of AI is a phenomenon to behold. But behind its allure are well-kept secrets some of which are slowly coming to light. At lack Hat USA 2024, Zenity, a company that designs security controls for enterprises chatbots, claimed that all defaults in Microsoft Copilot Studio, a drag-and-drop tool for building bespoke AI assistants, are insecure.

Cloud adoption is still at a nascent stage, but the level of competition is growing every day. To steer clear of the trappings of vendor lock-in, companies must consider using multiple vendors, even those outside the obvious choices. Additionally, an intuitively designed solutions stack that is supported by offerings from various vendors, can not only keep cloud consumption and cost optimized, but also helps avoid dependency on any particular provider or providers. This makes way for more challengers to enter the market and balance out the power distribution making public cloud a perfectly competitive space.

In this exclusive article, Sulagna Saha writes about the essence of digital transformation, which involves leveraging technology to streamline processes, enhance customer experiences, and adapt to an increasingly digital world. The piece emphasizes the importance of using key metrics and frameworks to measure the value and impact of digital initiatives, ensuring they align with broader business goals and drive tangible financial outcomes.

In this Tech Field Day article from SHARE Kansas City, Sulagna Saha writes about the growing skill gap in the mainframe sector, where despite a high demand for talent, many tech graduates are missing out on well-paid opportunities due to inadequate training. The discussion highlights the need for companies to reform training programs, change the messaging around mainframe technology, and take proactive steps to address the skill gap, ensuring that the critical expertise needed to maintain these systems does not vanish.

In this Tech Field Day article from SHARE Kansas City, Sulagna Saha writes about BMC’s introduction of the AMI Assistant, a conversational AI interface designed to enhance mainframe operations by integrating modern AI technology with legacy systems. The AMI Assistant, part of the AMI Platform, aims to empower a new generation of mainframers by providing context-aware, automated assistance and leveraging tribal knowledge to improve IT workflows.

In this Tech Field Day Extra article from SHARE Kansas City, Sulagna Saha writes about the enduring relevance of mainframe computers and the innovative solutions offered by PopUp Mainframe to modernize and integrate them with cloud technologies. PopUp Mainframe provides instantaneous, fully optimized mainframe environments, allowing developers to test and develop in production-like settings quickly and cost-effectively. This approach aims to streamline mainframe operations and reduce the technical and financial overhead traditionally associated with these systems.

In this Tech Field Day Extra article from SHARE Kansas City, Sulagna Saha writes that Broadcom is working on enhancing IT observability by launching the WatchTower Platform, which uses embedded ML algorithms to provide more granular and contextual visibility for mainframe experts. This platform aims to reduce data clutter, streamline alerts, and offer tailored insights, making it easier for professionals to quickly identify and resolve issues in mainframe environments.