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10 Executive Predictions on How AI Will Shape Technology in 2024

10 Executive Predictions on How AI Will Shape Technology in 2024

Published 01-26-24

Submitted by Keysight Technologies

A white human-like robot sitting cross-legged in a stark room of geometric shaped windows and walls.

With the introduction of ChatGPT, Dall-e, and many other tools to the public, artificial intelligence (AI) has become a hotly debated topic that will continue to dominate headlines throughout the decade. Engineers are integrating AI into technologies and reaping the benefits to enhance operations, extract and leverage intelligence, and drive organization-wide benefits across industries.

In this article, Keysight’s executives weigh in with their predictions about how AI’s influence will strengthen and impact technologies across industries as we come into 2024.

Bridging the Simulation Gap with AI

Moving forward, AI technologies will underpin simulation models, ushering in a new era of more accurate, capable, and informative models. In addition, the intelligence will provide enhanced insights into measurement data, reduce errors, and help optimize the design and test workflow.

Dan Thomasson, Head of Central Technology and VP of Keysight Labs

AI and the Sustainability Quandary

There has been significant hype around how AI systems will transform our lives, but little attention has focused on the compute power required. In 2024, AI's impact on sustainability will enter the spotlight, and organizations will start to monitor the carbon footprint of their entire technology infrastructure as they strive to meet net-zero targets. As a result, companies will need to decide where and how to judiciously use AI rather than thinking it can be deployed everywhere. And when it comes to testing software and applications, businesses will also have to pivot from testing everything to predicting the tests that matter most to reduce the environmental impact.

Gareth Smith, GM Software Test Automation

Cybersecurity in the AI Era: Good & Bad

AI is impacting every aspect of our lives, including cybersecurity. Adversarial AI will increasingly be a problem. For example, generative AI can collect information from social media, corporate email, blogs, and other sources to generate specific and realistic phishing emails that can be personalized and mass-produced with almost no human input. As a result, companies must deploy more advanced phishing detection systems, including those optimized to detect AI-generated content and improve employee training.

Scott Register, VP Security Solutions

Skills Silo Throttles Integration of AI in 6G

Domain knowledge and AI expertise are vital to successfully integrate AI into 6G networks. Today, we have either wireless experts or AI specialists, but too few heads that share expertise in both domains. Until these skill sets are blended, it will be tough to find the right resources to deploy AI effectively in support of 6G goals. This workforce capability gap will take over a decade to resolve.

Roger Nichols, 6G Program Manager

EDA Turns to AI: From Complexity to Clarity

The application of AI and ML techniques in EDA is still in the early adopter phase, with design engineers exploring use cases to simplify complex problems. The intelligence is particularly valuable in model development and validation for simulation, where it assists in processing large volumes of data. In 2024, organizations will increasingly adopt both technologies for device modeling of silicon and III-V semiconductor process technologies, as well as system modeling for forthcoming standards such as 6G, where research is well underway.

Niels Fache, VP & GM, Keysight EDA

Customer Engagement: AI in the Driver’s Seat

By the end of 2024, most customer emails will be AI-generated. Brands will increasingly use generative AI engines to produce first drafts of copy for humans to review and approve. However, marketing teams must train large language models (LLMs) to fully automate customer content and differentiate their brand. By 2026, this will be commonplace, enabling teams to shift focus to campaign management and optimization.

Marie Hattar, SVP and CMO

AI and the Next Frontier in EV’s: Prioritizing and Predicting Battery Health

Battery health will become a factor influencing EV buying decisions, presenting an opportunity for auto manufacturers to visualize a car’s health status to reassure and inform drivers. The information will be more granular and incorporate gamification interfaces so drivers can see how their actions influence keeping the battery management system (BMS) at peak performance. Additionally, by integrating AI algorithms into the system, it will predict the health can performance of batteries under various conditions, quelling any concerns.

Jeff Harris, Vice President, Corporate and Portfolio Marketing

AI + 6G: A Measured Approach

Unlike other sectors, the wireless industry will take a more measured approach to integrating AI. Operators will focus on thoroughly training the machine learning models on diverse data sets, quantifying the impact, and putting in place a new test methodology. As AI adoption matures, it will transform the wireless industry over the next decade, unleashing new capabilities such as improved beam management and smart spectrum sharing.

Sara LaSelva, Director of 6G

Surge in AI Reshaping the Cloud Computing Market

AI workloads require GPU and memory intensive capacity. In the past, we thought of Cloud Computing as having 3 primary competitors: AWS, Azure, GCP. Generation 2 of the Oracle Cloud Infrastructure (OCI) with its significant price and performance advantage in GenAI training has created a 4-horse race in the cloud computing space now.

Dan Krantz, CIO

AI Unmasked: From Hype to Reality

Despite all the hype around AI and generative AI, the technology is far away from being able to automate and optimize every aspect of our lives anytime soon. AI is making progress; however, automating a chatbot or creating a digital assistant are constrained problems that are much easier to automate. When it comes to helping manage real-world processes such as optimizing call quality on a 5G network or managing energy consumption, these are incredibly complex operations, with a wide array of variables requiring vast unbiased data sets before AI can be effective. While the intelligence will undoubtedly help us in 2024, realistically, AI will not be ready to direct physical-world activities until the end of the decade.

Mark Pierpoint, VP of Strategic Innovation and Partnerships

AI: The critical catalyst for accelerating innovation

As AI comes into its own, innovators across industries are uncovering new ways for this emerging technology to enable greater leaps and technological breakthroughs. Learn more about how AI is shaping the future and helping industry leaders to accelerate innovation by visiting Keysight’s AI technology page.

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Keysight Technologies

Keysight Technologies

At Keysight (NYSE: KEYS), we inspire and empower innovators to bring world-changing technologies to life. As an S&P 500 company, we’re delivering market-leading design, emulation, and test solutions to help engineers develop and deploy faster, with less risk, throughout the entire product lifecycle. We’re a global innovation partner enabling customers in communications, industrial automation, aerospace and defense, automotive, semiconductor, and general electronics markets to accelerate innovation to connect and secure the world. Learn more at Keysight Newsroom and

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