Gartner Vice President of Research Gao Ting: AI Becomes an indispensable Part of Work

Global Network Technology Report Reporter LindyGartner recently released 10 strategic technological trends that enterprise institutions need to explore in 2024, including generative AI for all, AI trust, risk and security management, AI enhanced development, intelligent applications, enhanced interconnected workforce, continuous threat exposure management, machine clients, sustainable technology, platform engineering, and industry cloud platforms.Among them, nearly half of the strategic technologies involve AI related content

Global Network Technology Report Reporter LindyGartner recently released 10 strategic technological trends that enterprise institutions need to explore in 2024, including generative AI for all, AI trust, risk and security management, AI enhanced development, intelligent applications, enhanced interconnected workforce, continuous threat exposure management, machine clients, sustainable technology, platform engineering, and industry cloud platforms.

Among them, nearly half of the strategic technologies involve AI related content. For example, although generative AI and other types of AI have brought new opportunities and driven the development of several trends, in order to gain business value through long-term use of AI, it is necessary to adopt rigorous methods to widely adopt AI and pay attention to risks. In response, the reporter interviewed Gao Ting, Vice President of Research at Gartner.

This year is an 'AI big year', so there is a common theme behind these trends, which is common AI. He pointed out that the 'top ten trends' can be divided into three main themes: protecting your investment, the rise of developers, and delivering value.

Regarding AI governance, Gao Ting stated that the reason why we need to do AI governance is because more and more AI has become an indispensable part of our work, especially in today's booming generative AI. If we lack effective governance of AI models, there is actually a risk of AI technology becoming "out of control".

Gartner predicts that by 2026, companies adopting AI Trust, Risk, and Security Management (AITRiSM) control measures will improve decision-making accuracy by screening out up to 80% of erroneous and illegal information.

Continuous Threat Exposure Management (CTEM) is a pragmatic and systematic approach that enables corporate institutions to continuously and uniformly evaluate the accessibility, exposure, and availability of digital and physical assets in enterprises. Adjusting the scope of CTEM assessment and repair based on threat vectors or business projects (rather than infrastructure components) not only reveals vulnerabilities, but also uncovers threats that cannot be repaired.

Gartner predicts that by 2026, enterprise institutions that prioritize security investments under the CTEM program will reduce vulnerabilities by two-thirds.

In addition, sustainable technology is a digital solution framework that aims to achieve environmental, social, and governance (ESG) outcomes that support long-term ecological balance and human rights. The use of technologies such as AI, cryptocurrencies, the Internet of Things, and cloud computing is raising concerns about energy consumption and environmental impacts. Therefore, improving efficiency, circularity, and sustainability when using IT has become even more important.

We have arrived at a world where everyone is using big models, and big models require a lot of computing power to calculate, which will consume electricity. "Gao Ting told reporters that we have found that due to the increasing digitization of the entire world and society, the proportion of electricity consumption in the ICT industry in global annual electricity production will also be increasing. So, the power shortage in the data center will be an upcoming risk.

Gartner predicts that by 2025, 75% of organizations will face sustained power shortages, which will accelerate the development of sustainable IT technology. From the perspective of CIOs, they must plan for sustainable IT in advance. By 2027, 25% of CIOs' personal compensation will be linked to their impact on sustainable technology

Gartner defines "intelligence" in intelligent applications as the learned adaptive ability to make appropriate responses autonomously. In many use cases, this intelligence is used to better enhance work or increase the level of automation of work. As a fundamental capability, intelligence in applications includes various AI based services such as machine learning, vector storage, and connecting data. Therefore, intelligent applications can provide a constantly adapting user experience.

There is currently a clear demand for intelligent applications. In the 2023 Gartner CEO and Business Executive Survey, 26% of CEOs identified talent shortages as the most disruptive risk to corporate institutions. Attracting and retaining talent is the top priority for CEOs in terms of human resources, and AI is considered the technology that will have the greatest impact on their industry over the next three years.

According to Gartner's prediction, by 2026, over 80% of independent software developers will embed the ability of generative AI into enterprises. Gao Ting pointed out that this proportion was only 1% in 2023.

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