Road2AI: Coming to a city near you!
On their mission for success, organizations spend a lot of time and money to master the digital transformation. Executives are investing into Artificial Intelligence (AI) projects in the aim to keep their organizations innovative and ahead of the competition. Analysts rely on machine learning (ML) models to turn massive volumes of data into fresh insights and information. However, what the majority of them struggles with, is bringing all these efforts across the finishing line, missing out on the benefits of the much-needed insight and business impact from their analytics.
Are you aiming to make better decisions, grounded in trusted data and assisted by the power and scale of Analytics? When decisions happen at just the right moment, advancements are set in motion and the world moves forward. Join us and find out, how operationalizing your analytics at scale will charge your decision processes and eventually becomes your winning formula.
Choose the session of your preference and listen to best practices of experts. Successful execution of an analytics, and thereby AI strategy, needs the right balance of choice and control.
Creativity and innovation flourish in open spaces. You need flexibility and freedom to attract the best analytical talent, use a wide variety of techniques and develop processes that work best. You need the flexibility to use multiple programming languages and analyze any data in any environment and to keep up with accelerating demands.
Analytics chaos can creep up. Once you lose control of your data, you lose trust in the system and its outputs. Transparency, governance and security become essential for maintaining trust in models and analytical results. Becoming even more critical as you scale development, monitoring and refinement of analytics applications and their associated processes.
At the intersection of data, software, and ingenuity, the future is being redefined. After all, when curiosity meets capability, progress is inevitable.