Dynatrace (NYSE: DT), a leader in unified observability and security, has revealed in its latest report “The State of AI 2024” that the combination of different types of Artificial Intelligence (AI) will be crucial for the success of its implementation in companies. The survey, which includes 1,300 global technology leaders, highlights the growing need for a holistic approach to AI that integrates generative, predictive, and causal AI.
AI Mandatory but in Need of Combination
In Spain, 81% of technology leaders recognize that AI is essential to remain competitive. However, an overwhelming 98% believe that generative AI, such as ChatGPT, could be more effective if combined with other types of AI. This perspective highlights the importance of a more comprehensive and enriched approach to AI, which can provide accurate data and reliable predictions.
Advantages and Challenges of Combined AI
The combination of AI offers multiple advantages, such as:
- Improved Hiring Process: Using AI to analyze resumes allows for quickly identifying the most qualified candidates, improving the effectiveness of recruitment processes.
- Optimization of Security Threats: 80% of technology leaders foresee that AI will be fundamental in identifying and responding to security threats.
- Expanded Access to Data Analytics: AI will enable non-technical employees to make natural language queries, democratizing access to data.
- Support for FinOps Practices: AI will help companies become more cost-efficient in the cloud.
However, technology leaders also express concerns, such as:
- Risks of Unauthorized Use: There is fear that AI tools, such as ChatGPT, could be used for unauthorized purposes.
- Bias and Misinformation in Generative AI: Leaders are aware of the risks of bias and error in generative AI.
Strategy and Methodology for Success
José Matias, Regional Vice President Iberia at Dynatrace, emphasizes the need for a well-defined strategy to maximize the benefits of combined AI. According to Matias, organizations must recognize that not all AIs are equal and that for more complex use cases, a combined approach is necessary that integrates different types of AI with high-quality data.
The Dynatrace survey was conducted globally, including technology leaders from large organizations, highlighting the importance of a combined AI strategy to successfully address challenges and maximize productivity and business value.
Final Reflection
The Dynatrace report underscores a crucial point: the era of isolated AI is behind us. Now, business success depends on the ability to integrate and combine different forms of AI, enriching decision-making and operational efficiency. With this approach, companies can not only overcome current challenges but also pave the way for a more innovative and competitive future.