Europe at Night from Space

Evolve your Analytics Platform
to build a Smarter Organization

Simplifying your analytics landscape

30 May 2019 | Hyatt Regency | 08:30 – 15:00

#Road2AI

How can AI-driven innovation 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? Many challenges reside in complex IT landscapes, departmental siloes, opportunity & challenges with cloud and the ability to deploy analytics where and when it’s needed.

To succeed with AI, organizations must be able to orchestrate and govern their analytics ecosystem, by embracing and unifying Open Source languages like Python and R with proprietary platforms like SAS into a unified and governed Analytics Lifecycle. They also need the flexibility to work in a complete or hybrid Cloud world and operate in real-time to meet the needs of the customer.

SAS has supported and accelerated the entire Analytics Lifecycle from Data to Discovery and Deployment for many years. But in 2019, SAS is undergoing its most radical transformation in its 40+ years of business. Our recent $1bn investment in AI, coupled with a transformation of our business model, have enabled us to meet the needs of the most forward thinking South African enterprises.

Come and learn about how SAS’s flexibility, cloud-readiness and Open Source compatibility make SAS the perfect partner to help you take AI out of the lab and generate the business value which it has always promised.

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

AJ Coetzee, SAS

AJ Coetzee
Sr. Manager, Presales Support - SAS Africa
LinkedIn

Akesh Lalla, SAS

Akesh Lalla
Country Manager - SAS South Africa
LinkedIn

Melissa Jantjies, SAS

Melissa Jantjies
Associate Systems Engineer - SAS Africa
LinkedIn

Eugene Ehlers

Eugene Ehlers
Credit Executive – JD Financial Services
LinkedIn

David Cosgrave, SAS

David Cosgrave
Operations Director - SAS
LinkedIn

Kelly Lu, SAS

Kelly Lu
Advanced Analytics and AI - SAS
LinkedIn

Dr. Mark Wochipo Nasila

Dr Mark Nasila
Chief Analytics Officer - FNB
LinkedIn

Anders Indset

Anders Indset
The Business Philosopher
 

Desan Naidoo, SAS

Desan Naidoo
Vice President - SAS Africa
LinkedIn

Jon Tullet, IDC

Jon Tullett
Senior Research Manager, Cloud/IT Services - IDC South Africa
LinkedIn

Agenda

  
08:00 – 09:00
Arrival & Registrations
09:00 – 09:10Welcome
09:10 – 09:25
The Transformation of SAS

Desan Naidoo
09:25 – 10:00
Keynote address - Business Philosopher

The Quantum Economy and Revolution: In the data driven world- what comes after digital?
Anders Indset
10:00 – 10:15Evolve your analytics platform and get Choice and Control with SAS

Moving analytics to the cloud while embracing and unifying Open Source and proprietary into a unified governed lifecycle.
David Cosgrave
10:15 – 10:35Successful execution of an AI strategy, outlining the analytics roadmap

Dr Mark Nasila, Chief Analytics Officer - FNB
10:35 – 10:55
Customer Testimonial

Eugene Ehlers, Credit Executive – JD Financial Services
10:55 – 11:25
Tea Break
Demo area activities
11:25 – 12:00
Topic: Getting AI out of the lab and into the real world

Using a real-life inspired use case, you will be taken on a journey to operationalize analytics:
  • Striking the right balance between choice and control
  • Reconciling the need to foster creativity and curiosity on one side and the need to govern the analytics lifecycle on the other side
  • Adopting a deployment strategy that suits the needs of the business
Kelly Lu, AJ Coetzee, Melissa Jantjies
12:00 - 12:20
The state of the South African analytics market

Jon Tullett, Senior Research Manager, Cloud/IT Services - IDC South Africa
12:20 - 12:50
Round Table: Embracing a Cloud analytics strategy - flexibility and choice

Embracing a Cloud analytics strategy – flexibility and choice
  • With Microsoft and Amazon Web Services (AWS) opening South African data centres in 2019, many businesses are considering the benefits of Cloud for Data Science & Analytics to improve efficiencies and lower costs.
  • Our panel of experts will share their thoughts on:
    - The analytical benefits
    - How cloud can reduce CAPEX and OPEX costs
    - Data privacy concerns
    - How best to migrate to cloud
Panelists
Kethan Parbhoo, Chief Marketing & Operations Officer - Microsoft SA
Anesu Charamba, Technology Strategist at Altron Bytes Systems Integration
Jon Tullett, Senior Research Manager, Cloud/IT Services - IDC South Africa
Nanda Padayachee, IT Executive - Standard Bank Group
Moderator: David Cosgrave, Operations Director - SAS Africa
12:50 - 13:00
Wrap up and close
Akesh Lalla
13:00 - 14:30
Lunch

Demo area & networking

Meet the experts

Machine Learning

Analytics Platform

Data Management

Data Governance

Artificial Intelligence

Data Visualization

Open Source & SAS

Cloud

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

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 Machine Learning
 Artificial Intelligence
 Data Governance
 Data Management
 Analytics Platform
 Data Visualization
 Open Source & SAS
 Cloud

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