Are you getting the most out of your analytics investment? With AI top-of-mind for many organizations, it is important to have a powerful, streamlined and balanced analytics capability. Because AI can only be as effective as the foundation which supports it. The ability to manage the entire Analytics Lifecycle is key to a successful digital transformation.
Join SAS and Deloitte for a breakfast session around how to enable Business, IT and data scientists to collaborate in transforming data into actionable insight and business value- with all the choices you want and the control you need. Discover how your organization can benefit from new insights.
|Wed., April 10th|
|7:45 – 8:15 a.m.||Registration & Breakfast|
|8:15 – 8:25 a.m.||Welcome|
|8:30 – 9:30 a.m.||The AI Perspective and Industry Trends|
Marc Smith: Director- Artificial Intelligence Deloitte
|9:30 – 10:30 a.m.||AI Platform Considerations and Best Practices|
Steve Holder: National Strategy Executive, Analytics Ecosystems, SAS Canada
|10:30 – 10:45 a.m.||Q & A|
700, 850-2nd Street SW, Calgary, AB
Register now for this event
Learn what is needed to orchestrate the new age of analytics – from data wrangling – through to tangible business results. During the session you will take away how to:
- Orchestrate an innovation-first and expanding analytics ecosystem
- Promote collaboration of your talents across business, IT and technical roles
- Scale and automate repeatable processes to keep pace with changing demands through your Analytics Lifecycle
- Maintain the right balance between choice and control
- Scale AI projects to enterprise wide availability leveraging cloud technology and considering compliance and ethics.
- Interpretability, trust and governance of data regardless the source
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.