Organisations today are increasing their investments in AI across all areas of their business to improve productivity, automate tasks, reduce costs and keep pace with the competition, according to a global survey of more than 1,000 technology leaders by Dynatrace.
The company’s report, The state of AI 2024: Challenges to adoption and key strategies for organisational success, found that alongside the clear advantages of AI there are also challenges and risks that organisations need to manage, from ensuring the outputs of generative AI are trustworthy to support business-critical use cases to maintaining compliance with internal policies and global regulations related to data security and privacy.
“AI has become central to how organisations drive efficiency, improve productivity, and accelerate innovation,” said Bernd Greifeneder, Chief Technology Officer at Dynatrace. “The release of ChatGPT late last year triggered a significant generative AI hype cycle. Business, development, operations, and security leaders have set high expectations for generative AIs to help them deliver new services with less effort and at record speeds. However, as organisations endeavour to realise the expected value, it becomes evident that generative AI requires domain-specific tuning and integration with other technologies, including other types of AI. In addition, organisations must use AI securely and responsibly and monitor it closely to manage cost and user experience. This will help them provide accurate results, reduce expenses, and prevent employees from exposing sensitive data or creating vulnerabilities in their environments.”
According to the report, 83% of technology leaders say AI has become mandatory to keep up with the dynamic nature of cloud environments. Meanwhile, 93% of technology leaders said they are concerned that AI could be used for non-approved uses as employees become more accustomed to using tools such as ChatGPT.
Businesses to accelerate investment in AI
Dynatrace's survey found that almost two-thirds (61%) of technology leaders will increase investment in AI over the next 12 months to speed up development by automatically generating code.
However the report also highlights concerns around the use of the technology, 95% of technology leaders raising concerns that using generative AI to create code could result in leakage and improper or illegal use of intellectual property.
“One of the most significant challenges organisations face with generative AI is achieving meaningful responses that users can trust to solve specific use cases and problems,” continued Greifeneder. “Especially for use cases that involve automation and depend on data context, taking a composite approach to AI is critical. For instance, automating software services, resolving security vulnerabilities, predicting maintenance needs, and analysing business data all need a composite AI approach.
"This approach should deliver the precision of causal AI, which determines the underlying causes and effects of systems’ behaviours, and predictive AI, which forecasts future events based on historical data. Predictive AI and causal AI not only provide essential context for responses produced by generative AI but can also prompt generative AI to ensure precise, non-probabilistic answers are embedded into its response. If organisations get their strategy right, combining these different types of AI with high-quality observability, security, and business events data can significantly boost the productivity of their development, operations, and security teams and deliver lasting business value.”
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