While 83% of technology leaders claim that AI has become mandatory, 95% believe that generative technology would be more beneficial if it were enriched and stimulated by other types of Artificial Intelligence
THE Dynatrace, a leader in unified observability and security, announces the results of an independent global survey of 1,300 CTOs (Chief Technology Officers), CIOs (Chief Information
Alongside the obvious advantages of Artificial Intelligence, however, there are also challenges and risks that need to be managed so that the results of Generative Artificial Intelligence are trusted to support business-critical use cases, as well as maintain compliance with internal policies and global regulations related to data security and privacy.
These results highlight the need for a composite approach to Artificial Intelligence, in which companies combine multiple types of technology – such as Generative, Predictive and Causal – and different data sources – such as observability, security and business events. This approach enables more advanced reasoning and brings precision, context and meaning to the results obtained with Artificial Intelligence. The report “The State of Artificial Intelligence 2024: Challenges for adoption and key strategies for business success” is available for download on link.
Dynatrace research shows that:
– 83% of global technology leaders (and 96% of Brazilian IT leaders) state that Artificial Intelligence has become mandatory to keep up with the dynamic nature of Cloud environments.
– 82% of technology leaders say that Artificial Intelligence will be fundamental to detecting, investigating and responding to security threats.
– 88% of global technology leaders (and 84% of leaders in Brazil) expect Artificial Intelligence to expand access to data analysis for non-technical employees through natural language queries.
– 62% of international companies (and 86% of Brazilian companies) have already changed the roles and skills they are recruiting because of Artificial Intelligence.
– 88% of technology leaders think Artificial Intelligence will enable cost efficiencies in the Cloud, supporting FinOps practices.
– 61% of technology leaders will increase their investments in Artificial Intelligence over the next 12 months to accelerate development and code generation automatically.
“Artificial Intelligence has become fundamental for improving efficiency, productivity and accelerating innovation,” says Bernd Greifeneder, Chief Technology Officer at Dynatrace. “The launch of ChatGPT late last year brought attention to Generative AI offerings. Business, development, operations and security teams have high expectations for AI's ability to help them deliver new services faster and with less effort. However, as companies strive to achieve expected results, it becomes evident that Generative Artificial Intelligence requires domain-specific adjustments and integration with other technologies, including other types of Artificial Intelligence. Companies must use Artificial Intelligence safely and responsibly, monitoring it closely to manage their costs, as well as improve user experience. This will help provide accurate results, reduce expenses, and prevent employees from exposing sensitive data or creating vulnerabilities in their environments.”
Among the other discoveries obtained in the research are:
– 93% of technology leaders are concerned that Artificial Intelligence could be used for unapproved purposes as employees become more familiar with using tools like ChatGPT.
– 95% of technology leaders are concerned that using Generative Artificial Intelligence to create code could result in information leaks, misuse or illegal use of intellectual property.
– 98% of world technology leaders (and the same percentage in Brazil) are concerned that Generative Artificial Intelligence may be susceptible to biases, errors or dissemination of information, even if unintentionally.
– 95% of global technology leaders (and 92%, in Brazil) state that Generative Artificial Intelligence would be more beneficial if it were enriched and stimulated by other types of technologies, capable of providing more accurate data on current states and predictions of the future.
“One of the most significant challenges companies face with Generative Artificial Intelligence is getting answers right so that users can trust the technology to solve specific use cases and problems,” says Greifeneder. According to him, especially for use cases that involve automation and depend on data context, adopting a composite approach to Artificial Intelligence is crucial. For example, automating software services, resolving security vulnerabilities, predicting maintenance needs, and analyzing business data require a composite Artificial Intelligence approach. This approach must offer the precision of Causal Artificial Intelligence, which determines the underlying causes and effects of systems behaviors, with Predictive Artificial Intelligence predicting future events based on historical data.
Predictive Artificial Intelligence and Causal Artificial Intelligence not only provide essential context for the responses produced by Generative Artificial Intelligence, but can also encourage accurate, non-probabilistic responses to be incorporated into the results. “If companies get their strategy right, combining these different types of AI with high-quality observability, security, and business event data, they can significantly boost the productivity of their development, operations, and security teams, as well as deliver lasting business value.” ”, says the executive.
Methodology
This report is based on global research conducted by Coleman Parkes at the request of Dynatrace. The survey was produced based on responses collected from 1,300 executives, technology leaders and those involved in the management of IT and DevOps operations in their companies. The research was aimed at large companies, with more than 1,000 employees each, located in the United States, Latin America (Brazil), Europe, the Middle East and Asia-Pacific.
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