Reserve your seat

Building a smarter
organization with Analytics & AI

A powerful foundation for AI success

The One and Only, Royal Mirage, Dubai — April 17th

#Road2AI

Checkout the Roadshow coming to a city near you!
 

Reserve Your Seat

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?

The challenge resides in complex IT landscapes, departmental siloes, and the ability to deploy analytics where needed.

An analytics platform supports and accelerates the entire Analytics Lifecycle from Data to Discovery and Deployment. To succeed with AI, organizations must be able to orchestrate and govern their analytics ecosystem through the entire Analytics Lifecycle.

Come learn how to enable Business, IT and data scientist to collaborate in transforming data into actionable insight and business value, with the right balance between choice and control.

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.

Speakers

Agenda

  
08:00 – 09:00

Registration & Refreshments

09:00 – 09:05

Welcome Note 

09:05 – 09:45

The Quantum Economy – What comes after Digital?

09:45 – 10:25

Getting AI out of the Lab and into the Real World to Achieve Tangible Benefits

10:25 – 10:55

Data Driven Health Quality Intelligence Roadmap

10:55 – 11:40

Panel Discussion: The role of AI and Advanced Analytics in Transforming Businesses in the Digital Era

Moderator: James Dartnell, Editor, TahawulTech.com

11:40 – 12:00

Networking Coffee Break 

12:00 – 12:30
The role of Real Time Data Streaming & Artificial Intelligence In Digital Transformation
12:30 – 13:00

AI in the Real World for Public Sector

13:00 – 13:30

Modern Analytics Platform - Orchestrate your entire analytics journey – From Data to Impactful Results

13:30 – 14:00
Advanced Analytics for Decision Management - How to Optimize and Drive Effectiveness
14:00 – 14:30

The Artificial Intelligence of Things (AIoT): Gaining true value from IoT data through advanced analytics and artificial intelligence

14:30 onwards
Networking Lunch 

Upcoming training courses 

SAS provides a wide range of training courses which are developed and taught by certified SAS instructors. Below you can see the upcoming ones and send us a request to attend.

Statistical Business Analyst

Read more

SAS® Academy for Data Science

Read more

 For details on courses and discounted certification bundle, please send an e-mail to Maha Abouzeid: education@sme.sas.com

The One and Only - Royal Mirage
King Salman Bin Abdulaziz Al Saud St - Dubai
United Arab Emirates

Register now for this event

Why attend?

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

This event is no longer available for registration.

 
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