Written by Dan Krantz, CIO at Keysight Technologies

AI will continue to disrupt and dominate in 2024, with generative AI remaining the poster child. Organizations will reevaluate their multi-cloud strategies and adjust workloads between providers to support the demand for compute power that AI is driving. These two mega technology trends will create many challenges and opportunities that CIOs must consider as they plan for 2024 and beyond. Below are a handful of predictions related to these areas that I expect to come to fruition.

2024: The Rise of Cloud High-Performance Computing

As traditional cloud capabilities mature, I predict the emergence of Cloud High Performance Computing (HPC) in the next 12-18 months. Current HPC workloads typically utilize on-premise supercomputing infrastructure, but the cloud providers will bring to the HPC market supercomputing capabilities wrapped in cloud-native characteristics of elasticity, programmable automation, and metered usage, democratizing the most compute-intensive scientific and engineering workloads.

Multi-Cloud Era: Rise of Agnostic Tools

The majority of organizations are predominantly multi-cloud rather than single-cloud. Cloud vendors have started to realize this and are now building better multi-cloud interoperability capabilities. One example is the recent Azure/OCI agreement between Oracle and Microsoft. This leads to organizations needing cloud-agnostic tools for observability, visibility, and quality assurance automation.

How AI is Disrupting the Cloud Market

With AI workloads requiring unprecedented GPU, memory-intensive capacity, and next generation alternative power and cooling, look for potential disruption of the top three cloud computing leaders: AWS, Azure, and Google Cloud Platform (GCP). For example, the second generation Oracle Cloud Infrastructure (OCI) has significant price and performance capabilities for GenAI. Additionally,  Nvidia could rapidly disrupt the landscape with its own AI-specific cloud offerings.

Testing in the Brave New World of Generative AI

2023 has seen a wave of innovations on the back of generative AI solutions like ChatGPT. In 2024, this trend will continue to accelerate, with new offerings embedded into existing enterprise systems, transforming every digital experience from the employee to the customer to the supply chain. To prepare for this change, CIOs should take two specific actions. First, accelerate the fundamentals of master data management (MDM) and refine the unique language models with their own specific data sets. This requires pristinely clean data harvested for an organization’s training needs. Secondly, rethink the quality assurance processes. Having manual testing or static, predictable regression test libraries is no longer sufficient. Instead, CIOs must transform testing into continuous user experience assurance teams that leverage AI for exploratory, model-based testing injected with chaos engineering to surface unintended anomalies. These UX assurance teams will need new toolchains and independence from each project and digital product to continuously validate the desired user experience outcomes.

AI will ultimately determine business success, and in 2024, CIOs will need to develop an AI strategy that supports the business objectives. In addition, they need to foster a culture of cloud adoption and innovation. To realize this, enterprises need trusted and innovative technology partners to help them navigate and thrive in this new, intelligent era.