Trend
The course of cloud computing and AI in 2024
By Dan Krantz, Chief Information Officer at Keysight Technologies
AI will continue to disrupt and dominate in 2024, with generative AI (Gen-AI) remaining the poster child. Organisations will re-evaluate 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 chief information officers (CIOs) must consider as they plan for 2024 and beyond. Here are a handful of predictions related to these areas that I expect to come to fruition.
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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 utilise 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, democratising the most compute-intensive scientific and engineering workloads.
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Multi-cloud era: The rise of agnostic tools Te majority of organisations are predominantly multi-cloud rather than single-cloud. Cloud vendors have started to realise this and are now building better multi-cloud interoperabilities. One example is
the recent Azure/OCI agreement between Oracle and Microsoſt. Tis leads to organisations needing cloud-agnostic tools for observability, visibility and quality assurance automation.
AI is disrupting the cloud market With AI workloads requiring unprecedented GPU memory intensive capacity and next-generation power and cooling, look for potential disruption of the top-three cloud computing leaders: AWS, Azure
and Google Cloud Platform. For example, the second-generation Oracle Cloud Infrastructure has significant price and performance capabilities for GenAI. Additionally, Nvidia could rapidly disrupt the landscape with its own AI-specific cloud offerings.
04 May 2024
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4
Testing in the brave new world of generative AI Year 2023 has seen a wave of innovations on the back of generative-AI solutions like ChatGPT. In 2024, this trend will 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 and refine the unique language models with their own specific data sets. Tis requires pristinely-clean data harvested specifically for the organisation’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. Tese user experience 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 realise this, enterprises need trusted and innovative technology partners to help them navigate and thrive in this new, intelligent era.
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