Artificial Intelligence (AI) answers, not just the data related queries but it also offers actionable insights to your business stakeholders, operations staff, and development teams, says Praveen Mahajan, Regional Director- India, Dynatrace, in an interaction with Rakesh Roy of Elets News Network (ENN).
How important is the role of AI in today’s complex business environment and deployments?
Praveen Mahajan, Regional Director- India, Dynatrace
Indian organisations are shifting from traditional, tactical and tool-centric data and analytics projects to strategic, modern and architecture-centric data and analytics programmes. Many Organisations that have enabled AI at the enterprise level are increasing operational efficiency, making faster more informed decisions and innovating new products and services. In IT operations, the traditional monitoring approach of watching dashboards, responding to alerts, and manually analysing data sets doesn’t work anymore. But artificial intelligence can absorb terabytes of data and make sense of it instantaneously. AI automates all the “heavy lifting”—all the discovery and analysis that take teams of experts hours or days, AI does in milliseconds—to proactively identify problems and pinpoint the underlying root cause.
How will AI drive the future IT industry and how Dynatrace is going about it?
Artificial Intelligence answers, not just the data related queries but it also offers actionable insights to your business stakeholders, operations staff, and development teams
Dynatrace ties business outcomes to performance insights so you fully understand the implications of detected problems. We analyse user behavior to maintain focus on customer experience by realising all the components and dependencies of your applications, it can detect and resolve problems before they impact your customers.
Self-driving IT isn’t just a buzzword anymore. More and more companies are shifting their IT operations to make them autonomous. Today’s hyper-dynamic, highly distributed application environments have gotten too complex and move too fast. The volume, velocity, and variety of information are simply more than humans are able to keep up with using traditional tools.
How do you see the India market in terms of adoption of newer technologies, especially AI? What are the sectors that you are targeting?
India organisations always have a positive mindset towards adopting new technology. The Small and Midsize Business (SMB) segment is more attuned to the benefits and challenges of the many new technologies, eg. Cloud, furthermore, the maturity of the ecosystem is less of a deterrent to the SMB segment. This makes the SMB segment ideal to approach as an initial adopter of these new technologies.
Tell us about Dynatrace’s latest offerings and market share in India.
Dynatrace provides software intelligence to simplify enterprise cloud complexity and accelerate digital transformation. With AI and complete automation, our all-in-one platform provides answers, not just data, about the performance of applications, the underlying infrastructure and the experience of all users. That’s why many of the world’s largest enterprises, including 72 of the Fortune 100, trust Dynatrace to modernise and automate enterprise cloud operations, release better software faster, and deliver unrivaled digital experiences.
What is the scope and future of Business Intelligence (BI) in India (e-commerce retail and finance)?
The data and analytics market is undergoing a significant change. Adoption of machine learning techniques for data management and analytics is increasing as senior executives are increasingly exploring the different styles of analytics to resolve their business imperatives.
According to Gartner, All segments of the BI software market (other than the traditional BI segment) are expected to experience double-digit growth in the next two years in India.
What are your future plans for India?
Growing beyond Financial Services Industry (FSI) and more focus in helping digital native organisations deliver “perfect software” to the end users.
