2024 AI Predictions - Part 2
February 06, 2024
Share this

With a focus on GenAI, industry experts offer predictions on how AI will evolve and impact IT and business in 2024. Part 2 covers the stakeholders that will drive AI.

Start with: 2024 AI Predictions - Part 1

Go to: predictions about AIOps

Go to: predictions about AI in software development

CHIEF AI OFFICER (CAIO)

We'll see the emergence of new C-suite roles, like Chief AI Officer, who will partner with CIOs to ensure AI adoption continues to grow and emerging regulations are adhered to across the enterprise.
John Cannava
Chief Information Officer, Ping Identity

In 2024, organizations will increasingly appoint leaders to ensure that they are prepared for the security, compliance, and governance implications of AI. As employees become more accustomed to using AI in their personal lives through exposure to tools such as ChatGPT, they will increasingly look to use them in the workplace to boost their productivity. Organizations have already realized that if they don't empower their employees to use these tools officially, they will do so without consent. They will, therefore, appoint a chief AI officer (CAIO) to oversee their use of these technologies in the same way many have a security executive on their leadership teams. The CAIO's role will be centered on developing policies and ensuring the workforce is educated and empowered to use AI safely, to protect the organization from accidental noncompliance, intellectual property leakage, or security threats. This will pave the way for widespread adoption of AI in the enterprise. As this trend progresses, AI will ultimately become a commodity, as the mobile phone has.
Bernd Greifeneder
CTO and Founder, Dynatrace

CTO

The Chief AI Officer will disappear. Rather than the Chief AI officer, the Chief Technology Officer (CTO) will be the natural choice for steering AI strategy. This is not a deprioritization of AI but rather an acknowledgment that AI requires a more cohesive integration to broader technological and business strategies. The CTO will educate and guide the rest of the c-suite on the value of AI, a strategic shift that places AI at the heart of more business decisions.
Prince Kohli
CTO, Automation Anywhere

In 2024, I anticipate the CTO role will evolve as technology leaders will play a central role in fostering collaboration between security and legal departments as AI regulation, legislation, and policy discussions continue to take shape. Drawing on their comprehensive knowledge of the dynamic technology landscape and how technologies can best be harnessed for business success, CTOs have a holistic grasp of the implications of AI deployment, making them instrumental in leading AI regulation discussions. By collaborating with legal and HR teams, CTOs can enhance their organizations' readiness to navigate and comply with emerging AI regulations.
Rob Juncker
CTO, Code42

DATA TALENT

The continued prevalence of AI will lead to an influx of data talent and the need for AI skills. As businesses continue to embrace AI, we're going to see not only an increase in productivity but also an increase in the need for data talent. From data scientists to data analysts, this knowledge will be necessary in order to sort through all the data needed to train these AI models. While recent AI advancements are helping people comb through data faster, there will always be a need for human oversight — employees who can review and organize data in a way that's helpful for each model will be a competitive advantage. Companies will continue looking to hire more data-specific specialists to help them develop and maintain their AI offerings. And those who can't hire and retain top talent — or don't have the relevant data to train to begin with — won't be able to compete.
Brian Peterson
CTO and Co-founder, Dialpad

TECH-SAAVY WORKFORCE

Closing the tech gap — How GenAI is fostering a tech savvy workforce of the future: Throughout history, entry level workers have often been tasked with mundane projects for the first several years of their career. In the near term, we will see many of those early career tasks be automated, freeing up time for entry level employees to spend more time on those "big learning moments" that typically come by being in meetings with leaders and participating in complex, strategic tasks. By empowering entry level workers to do more, they will not only accelerate their career paths, but feel a greater sense of accomplishment and belonging in their roles.
Joe Atkinson
Chief Products and Technology Officer, PwC

AI CONSULTANTS

In the year ahead, there will be consulting services designed to help organizations understand what form of AI is the right AI for their particular needs and specific applications. Not everybody needs the top-of-the-pack GPT-5, if it comes out next year. To determine which AI model is the best match for them, businesses will work with AI experts that provide advice based on their specific use cases to help them keep costs low in the long run. Addressing costs upfront is important because, for POCs, the cost differentials between various AI models are minimal. But as you scale the model to thousands or millions of calls across users, you will pay a hefty price because these models run on costly computer and high-end storage.
Prem Balasubramanian
CTO, Hitachi Digital Services

MANAGED SERVICE PROVIDERS

With the growing technical complexity and tightening budgets, enterprises will increasingly rely on Managed Service Providers (MSPs) to manage and monitor AI technologies. MSPs, with their expertise in AI technologies, will play a key role in spotting errors and ensuring the smooth integration of AI into IT workflows, allowing enterprises to focus on business growth. AI, in turn, will play a crucial role in enhancing network security by providing advanced monitoring, analysis, and error detection capabilities.
Renuka Nadkarni
Chief Product Officer, Aryaka

DIGITAL WORKFORCE

The digital workforce and the human workforce will coincide – Employees across industries are fearful that AI with automate their jobs and displace them. While it's reasonable to suspect that AI will alter jobs (many technological advancements have), in 2024 we'll see that generative AI is making jobs easier and output stronger (companies are already starting to see massive ROI from implementing the new tools). More and more jobs will soon be enhanced by AI —  as it streamlines tasks and offers easy access to knowledge — and employees will find that tedious work has been simplified for them. Rather than replace existing employees, organizations will need to leverage their expertise to determine how new AI tools can best supplement their positions. Over the next few years, businesses and employees will learn to leverage this new "digital workforce" alongside their human workforce, without making the latter feel underutilized or ignored.
Hubert Palan
Founder and CEO, Productboard

Start with: 2024 AI Predictions - Part 3, covering the technologies driving AI.

Share this

The Latest

July 25, 2024

The 2024 State of the Data Center Report from CoreSite shows that although C-suite confidence in the economy remains high, a VUCA (volatile, uncertain, complex, ambiguous) environment has many business leaders proceeding with caution when it comes to their IT and data ecosystems, with an emphasis on cost control and predictability, flexibility and risk management ...

July 24, 2024

In June, New Relic published the State of Observability for Energy and Utilities Report to share insights, analysis, and data on the impact of full-stack observability software in energy and utilities organizations' service capabilities. Here are eight key takeaways from the report ...

July 23, 2024

The rapid rise of generative AI (GenAI) has caught everyone's attention, leaving many to wonder if the technology's impact will live up to the immense hype. A recent survey by Alteryx provides valuable insights into the current state of GenAI adoption, revealing a shift from inflated expectations to tangible value realization across enterprises ... Here are five key takeaways that underscore GenAI's progression from hype to real-world impact ...

July 22, 2024
A defective software update caused what some experts are calling the largest IT outage in history on Friday, July 19. The impact reverberated through multiple industries around the world ...
July 18, 2024

As software development grows more intricate, the challenge for observability engineers tasked with ensuring optimal system performance becomes more daunting. Current methodologies are struggling to keep pace, with the annual Observability Pulse surveys indicating a rise in Mean Time to Remediation (MTTR). According to this survey, only a small fraction of organizations, around 10%, achieve full observability today. Generative AI, however, promises to significantly move the needle ...

July 17, 2024

While nearly all data leaders surveyed are building generative AI applications, most don't believe their data estate is actually prepared to support them, according to the State of Reliable AI report from Monte Carlo Data ...

July 16, 2024

Enterprises are putting a lot of effort into improving the digital employee experience (DEX), which has become essential to both improving organizational performance and attracting and retaining talented workers. But to date, most efforts to deliver outstanding DEX have focused on people working with laptops, PCs, or thin clients. Employees on the frontlines, using mobile devices to handle logistics ... have been largely overlooked ...

July 15, 2024

The average customer-facing incident takes nearly three hours to resolve (175 minutes) while the estimated cost of downtime is $4,537 per minute, meaning each incident can cost nearly $794,000, according to new research from PagerDuty ...

July 12, 2024

In MEAN TIME TO INSIGHT Episode 8, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AutoCon with the conference founders Scott Robohn and Chris Grundemann ...

July 11, 2024

Numerous vendors and service providers have recently embraced the NaaS concept, yet there is still no industry consensus on its definition or the types of networks it involves. Furthermore, providers have varied in how they define the NaaS service delivery model. I conducted research for a new report, Network as a Service: Understanding the Cloud Consumption Model in Networking, to refine the concept of NaaS and reduce buyer confusion over what it is and how it can offer value ...