As digital services become mainstream, application owners, business managers, and C-level need to understand IT systems and their impact on revenue-generating applications and business processes to make decisions and prioritize work based on the business environment. However, due to the complexity and dynamic scaling of IT systems, real-time insight into the impact of IT on the business has become a challenge, Increasing adoptions on microservices to enhance business agility has further multiplied this challenge.

Dynatrace's deterministic AI engine Davis ™ has been expanded to handle business key performance indicators such as revenue trends, customer conversion rates, and loss rates. These improvements help to automatically discover the root cause that affect the business, provide organizations with accurate answer and deep dive analysis, so that they can create excellent digital experiences and improve business performance.

Dynatrace's AI engine Davis ™ adds business key performance indicators, which not only unearth the value of KPI, but also provide the precise and in-depth analysis, support organization to proactively make decision before the business is negatively affected.
Highlights:

• AI-assisted in real-time analysis and measurement on various application performance and user experience issues, automatically discover business anomalies and improve performance
• How Dynatrace unlocks digital business analysis and obtains accurate answers to improve revenue and customer experience
• Dynatrace real-time digital business analysis, how to link application performance and user experience data with business indicators such as revenue, orders, customer loss and conversion
• Continuous automated advanced observability across cloud native and traditional technologies

Speaker: Keane Yu, Senior Technical Consultant, Dynatrace
Speech Language: Cantonese