Artificial Intelligence (AI) has become mainstream and is fueling more and more aspects of businesses and day-to-day life.
Beyond the hype, the question is how data-driven innovation can be brought to life and put in action to resolve real business problems. What steps are needed to move AI out of the lab and into business operations to realize the desired outcomes?
SAS is taking to the road across the world to inspire you what is needed to orchestrate the new age of analytics – from data wrangling – through to tangible business results.
At the intersection of data, software, and ingenuity, the future is being redefined. After all, when curiosity meets capability, progress is inevitable.
Asia
Mumbai, India
November 26th
Delhi, India
November 27th
Seoul, Korea
December 5th
Previous Events
Tokyo, Japan
July 4th
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.
Choice
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.
Control
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.