In an era dominated by rapid technological advancements, organizations are increasingly turning to solutions that not only enhance operational efficiency but also bolster security and observability. In this exclusive interview, Rob Van Lubek, Vice President of Sales for EMEA at Dynatrace, delves into how their cutting-edge platform facilitates comprehensive digital and business transformations. Van Lubek provides insights into the pivotal role of AI in driving organizational resilience and productivity and outlines Dynatrace’s commitment to educating the next generation on leveraging these technologies for sustainable success. Join us as we explore the strategic implementations that are setting Dynatrace apart in the dynamic tech landscape.
How does Dynatrace’s end-to-end observability and security support organizations in their digital and business transformations?
At Dynatrace, we provide a comprehensive observability and security solution essential for business transformation. With Dynatrace, organizations gain insights into customer digital interactions, enabling them to enhance user experiences by upholding high standards. The quality of digital transactions significantly influences customer satisfaction and engagement, making a flawless and intuitive application that operates 24/7 vital. For example, if I’m in the Netherlands and wish to engage with a company on the other side of the world, I should be able to do so at my convenience, experiencing consistent performance regardless of location or time. Dynatrace empowers businesses to observe their entire IT landscape, ensuring resilient and seamless service delivery. Our approach guarantees maximum uptime and a high-quality experience, allowing organizations to drive digital transformation in line with their objectives for operational excellence and customer satisfaction. Moreover, digital transformation naturally complements business transformation. Dynatrace helps companies stay ahead of competitors by adapting to new channels and engagement strategies. Dynatrace supports this journey by providing observability insights to enhance the customer experience across all touch points.
What initiatives are critical for equipping the next generation with the tools and knowledge they need and how should educational programs adapt to keep pace with technical advancements?
We have proudly established a robust ecosystem that includes a continuous enablement program to keep our partner community updated on our latest innovations. This ecosystem ensures that our partners always have access to knowledge and support resources. We also provide training and certification programs, helping our customers’ technical teams leverage the full power of our platform. Equally important is the role of Artificial Intelligence (AI), which has been integral to Dynatrace for nearly a decade. AI plays a crucial role in making data more accessible to a wider audience, not just those with a technical background. Our AI-powered Davis CoPilot is designed to democratize data access, enabling users to effortlessly gain insights and make decisions without deep technical knowledge. In general, we believe in broadening access to information for all. Through our educational programs, we invite anyone interested in our platform to participate and learn. We are committed to keeping our solutions relevant and accessible to a diverse user base, and education is the best way for the next generation to keep pace with the technical advancements in our industry.
How does DT approach responsible AI development, and how does the combination of causal, predictive and generative maximise ROI and productivity for your clients?
AI has been an integral part of Dynatrace since the platform’s inception, and our approach has evolved to encompass causal, predictive, and generative AI. Data is at the heart of our platform – it’s the primary basis for every decision. It is therefore unsurprising that poor-quality data can lead to poor decisions, which is why we place a heavy emphasis on data integrity and contextual accuracy in observability. With high-quality, contextual data, companies are able to build resilience by preventing or quickly resolving incidents. This is the strength of the Dynatrace platform; it provides a reliable, single source of truth for enterprise data. By using contextual data, customers receive more precise predictions and can make more informed decisions.
“Predictive AI, in particular, allows companies to anticipate needs and allocate resources efficiently, while generative AI extends the usability of our platform, enabling users of all technical skill-level to derive insights. By maintaining all data in one place and ensuring the highest quality, Dynatrace enables enterprises to drive productivity and maximise ROI, getting the most value out of data to make well-informed business and IT decisions.“
How does Dynatrace platform help organisations implement AI Ops and why is this important for maintaining trust, mitigating risk and driving better decision making?
AIOps is central to Dynatrace’s observability, transforming operational predictability and resilience. Traditional monitoring is often reactive, but with AI Ops, observability becomes proactive. Our platform provides an unmatched level of high-quality, data-driven insights for IT teams to make strategic decisions – whether about system updates, resource allocation, or service value chains. Inevitably, trust and collaboration increase with a unified dataset, as all stakeholders work from a consistent, reliable data source. Dynatrace’s proactive approach in AIOps also helps mitigate risk by highlighting potential issues early and helping teams anticipate any fluctuations in resource demand. By implementing AI Ops, organizations can make well-informed decisions, with IT performance being reflective of business goals – this is what the Dynatrace platform delivers.
