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Day 1 - 25 May 2021
08:45

DataCon Africa Live Platform Opens

DataCon Africa Live Platform Opens

May 25 | 08:45 - 09:00

Speaking:

09:00

Data Conversations Over Coffee: The 4 Quadrants of Building a Balanced Data Team

We sit down with a top data expert to have a frank conversation on building a data team - all over a cup of coffee. Make your own cup, get comfortable, and join the conversation.

Speaking:

Rob Zagey

Head of Business Intelligence, STANLIB Asset Management

Data Conversations Over Coffee: The 4 Quadrants of Building a Balanced Data Team

May 25 | 09:00 - 09:30

We sit down with a top data expert to have a frank conversation on building a data team - all over a cup of coffee. Make your own cup, get comfortable, and join the conversation.

Speaking:

09:35

International Keynote: Do your skills still matter? The evolving role of a data specialist post COVID-19

○  What skills are becoming increasingly important in 2021?

○  How to upskill yourself to become a more in demand data specialist

○  The way the role of the data scientist has changed due to new technologies and expectations

○  What separates a good data specialist from a great one

○  Soft skills vs tech skills

Speaking:

Caroline Carruthers

Chief Executive, Carruthers and Jackson Limited (UK)

Peter Jackson

Director & CDAO, Carruthers & Jackson (UK)

International Keynote: Do your skills still matter? The evolving role of a data specialist post COVID-19

May 25 | 09:35 - 10:05

○  What skills are becoming increasingly important in 2021?

○  How to upskill yourself to become a more in demand data specialist

○  The way the role of the data scientist has changed due to new technologies and expectations

○  What separates a good data specialist from a great one

○  Soft skills vs tech skills

Speaking:

10:10

The Business of Data Show: Data Visualization

Data visualizations have a key role to play in any enterprise data strategy. It’s not enough to ensure staff have access to the right data at the right time. That data must also be presented in a way that enables business stakeholders to digest it quickly and draw the right conclusions from it. Historically, data analysts were the ones responsible for creating charts and dashboards to inform business decision-making. But as more companies invest in self-service tools to allow staff at all levels to access data-driven insights, it’s becoming more important for staff throughout the organization to develop the skills needed to tell compelling stories with data.

Speaking:

Wendy Zhang

Director of Data Governance & Data Strategy, Sallie Mae (USA)

Vincent Koc

Head of Data Science, Oroton (Australia)

Jaqueline Calitz

Data Scientist, WesBank (South Africa)

The Business of Data Show: Data Visualization

May 25 | 10:10 - 10:40

Data visualizations have a key role to play in any enterprise data strategy. It’s not enough to ensure staff have access to the right data at the right time. That data must also be presented in a way that enables business stakeholders to digest it quickly and draw the right conclusions from it. Historically, data analysts were the ones responsible for creating charts and dashboards to inform business decision-making. But as more companies invest in self-service tools to allow staff at all levels to access data-driven insights, it’s becoming more important for staff throughout the organization to develop the skills needed to tell compelling stories with data.

Speaking:

10:45

Data Analytics Hard Truths - a session of tough questions for the industry

We get into the nitty gritty with 3 top experts each representing different industries, countries and viewpoints to discuss the questions that don’t have easy answers. Moderated by Craig Steward, Managing Director, Corinium Global Intelligence.

Speaking:

Ashley Singh

Head of Data, ​Nedbank​ (South Africa)

Marcel Saraiva

Head of Data Monetization & Analytics, Standard Bank (Mozambique)

Moloko Komane

Head of Department : Business Advisory , Multichoice Africa (South Africa)

Data Analytics Hard Truths - a session of tough questions for the industry

May 25 | 10:45 - 11:15

We get into the nitty gritty with 3 top experts each representing different industries, countries and viewpoints to discuss the questions that don’t have easy answers. Moderated by Craig Steward, Managing Director, Corinium Global Intelligence.

Speaking:

11:20

Virtual Coffee Break & Demo Theatre

Virtual Coffee Break & Demo Theatre

May 25 | 11:20 - 11:35

Speaking:

11:40

Reserved for Platinum Partner 1: Alteryx. Debunk the Machine : HOW AI WILL (ACTUALLY) TRANSFORM YOUR DATA ANALYTICS

Gartner defines AI as applying advanced analysis and logic-based techniques, including machine learning, to interpret events, support and automate decisions, and take action. The real success of AI in the last decade has come about because we've built on the evolution of computing speed - algorithms and an explosion of data to train the models themselves. The problem is knowing where to start, removing the black box and closing the skills gap to achieve explainable, repeatable AI.

Join this webinar to learn:

  • Understand how emerging technologies can add value to your analytics lifecycle
  • The real business impact of AI, Machine Learning and Intelligent Robotics

Speaking:

Vishal Soni

Solutions Consultant for Middle East and Africa, Alteryx (South Africa)

Reserved for Platinum Partner 1: Alteryx. Debunk the Machine : HOW AI WILL (ACTUALLY) TRANSFORM YOUR DATA ANALYTICS

May 25 | 11:40 - 12:10

Gartner defines AI as applying advanced analysis and logic-based techniques, including machine learning, to interpret events, support and automate decisions, and take action. The real success of AI in the last decade has come about because we've built on the evolution of computing speed - algorithms and an explosion of data to train the models themselves. The problem is knowing where to start, removing the black box and closing the skills gap to achieve explainable, repeatable AI.

Join this webinar to learn:

  • Understand how emerging technologies can add value to your analytics lifecycle
  • The real business impact of AI, Machine Learning and Intelligent Robotics

Speaking:

12:15

International Keynote: Platform data architectures and the cloud advantage

To embrace productive data architecture, many organizations introduce centralized data lakes fed by operational data stores and data streams. However, that solution introduces problems of quality, governance, and delayed access. This hampers the agility as the consumers such as ML and AI teams deal with inferior quality data which are difficult to use and combine due to the lack of standards and governance. Recently, a new form of data architecture appeared, which is centered around the cloud native technologies and which provides for intersection of platforms, domains, and data. In this approach, influenced by Cloud Native technologies and Domain-Driven Design (DDD), the team that owns the domain owns the operational stores but also the domain specific area of the data lake in the cloud, and they handle quality and governance of the data in their area – resulting in a Data Product. The result is that consumers can rapidly combine high-quality data from various sources and put them together, resulting in accelerated insights. We will discuss the architectural, organizational, and technical underpinnings of Platform Oriented Data Architecture, based on the set of common data capability services provided by the cloud infrastructure.

Speaking:

Dr. Vladimir Bacvanski

Distinguished Architect, PayPal (USA)

International Keynote: Platform data architectures and the cloud advantage

May 25 | 12:15 - 12:45

To embrace productive data architecture, many organizations introduce centralized data lakes fed by operational data stores and data streams. However, that solution introduces problems of quality, governance, and delayed access. This hampers the agility as the consumers such as ML and AI teams deal with inferior quality data which are difficult to use and combine due to the lack of standards and governance. Recently, a new form of data architecture appeared, which is centered around the cloud native technologies and which provides for intersection of platforms, domains, and data. In this approach, influenced by Cloud Native technologies and Domain-Driven Design (DDD), the team that owns the domain owns the operational stores but also the domain specific area of the data lake in the cloud, and they handle quality and governance of the data in their area – resulting in a Data Product. The result is that consumers can rapidly combine high-quality data from various sources and put them together, resulting in accelerated insights. We will discuss the architectural, organizational, and technical underpinnings of Platform Oriented Data Architecture, based on the set of common data capability services provided by the cloud infrastructure.

Speaking:

12:50

Reserved for Platinum Partner 2: sas. 5 Considerations for Responsible AI - Balancing innovation and ethics in data science

With the rise of AI across all facets of society, ethics is proving to be the new frontier of technology. Public awareness, press scrutiny, and upcoming regulations are mandating organizations and the data science community to embed ethical principles in AI initiatives.

Questions should be asked about the fitness of the data used to train models, the risk to amplify human bias and discriminations, the explainability of predictions and decisions made with machine learning algorithms, and the human oversight in monitoring the fairness and transparency of AI applications.

Beyond the greater good and social responsibility, what is at stake is the successful adoption of AI technologies that have otherwise the potential to deliver tremendous value to organizations and society at large.

Speaking:

Olivier Penel

Data & Analytics Strategic Advisor, SAS

Reserved for Platinum Partner 2: sas. 5 Considerations for Responsible AI - Balancing innovation and ethics in data science

May 25 | 12:50 - 13:20

With the rise of AI across all facets of society, ethics is proving to be the new frontier of technology. Public awareness, press scrutiny, and upcoming regulations are mandating organizations and the data science community to embed ethical principles in AI initiatives.

Questions should be asked about the fitness of the data used to train models, the risk to amplify human bias and discriminations, the explainability of predictions and decisions made with machine learning algorithms, and the human oversight in monitoring the fairness and transparency of AI applications.

Beyond the greater good and social responsibility, what is at stake is the successful adoption of AI technologies that have otherwise the potential to deliver tremendous value to organizations and society at large.

Speaking:

1:25

International Keynote: DataOps - how to improve data quality and learn to react in real time

Modern data science and analytics require secure, efficient processes to turn raw data from multiple sources and in numerous formats into useful inputs to a data product. Developing, orchestrating and iterating modern data pipelines is an extremely complex process requiring multiple technologies and skills. Other domains have to successfully overcome the challenge of delivering high-quality products at speed in complex environments. DataOps applies proven agile principles, lean thinking and DevOps practices to the development of data products. A DataOps approach aligns data producers, analytical data consumers, processes and technology with the rest of the organisation and its goals. In this session, Harvinder Atwal will discuss how to implement DataOps from lessons learned around the strategy, process and key technologies.

Speaking:

Harvinder Atwal

Group Data Director, MoneySuperMarket.com (UK)

International Keynote: DataOps - how to improve data quality and learn to react in real time

May 25 | 13:25 - 13:45

Modern data science and analytics require secure, efficient processes to turn raw data from multiple sources and in numerous formats into useful inputs to a data product. Developing, orchestrating and iterating modern data pipelines is an extremely complex process requiring multiple technologies and skills. Other domains have to successfully overcome the challenge of delivering high-quality products at speed in complex environments. DataOps applies proven agile principles, lean thinking and DevOps practices to the development of data products. A DataOps approach aligns data producers, analytical data consumers, processes and technology with the rest of the organisation and its goals. In this session, Harvinder Atwal will discuss how to implement DataOps from lessons learned around the strategy, process and key technologies.

Speaking:

1:50

Virtual Lunch Break

Virtual Lunch Break

May 25 | 13:50 - 14:20

Speaking:

Data Governance Quality and Literacy Stream

2:20

Reserved for Stream Partner: MicroStrategy. Insight Driven Culture: How to achieve it and is it worth it.

Being insights driven promises a whole new world of opportunities for organizations to thrive, by creating value through improvements on products/services based on understanding of customer trends and characteristics or attracting more customers by competitive differentiation. In a world of greater uncertainty that is constantly changing, how to achieve this, demands defining key capabilities across people, processes and technology. 

Speaking:

Roxane Edjlali

Senior Director in Solution Management

Reserved for Stream Partner: MicroStrategy. Insight Driven Culture: How to achieve it and is it worth it.

May 25 | 14:20 - 14:50

Being insights driven promises a whole new world of opportunities for organizations to thrive, by creating value through improvements on products/services based on understanding of customer trends and characteristics or attracting more customers by competitive differentiation. In a world of greater uncertainty that is constantly changing, how to achieve this, demands defining key capabilities across people, processes and technology. 

Speaking:

Data Engineering Stream

2:20

Panel Discussion: The Data Scientist is Dead. Stream Partner: iOCO

Cloud technology has made the traditional data scientist obsolete. It has democratised data science as a business enabler, accessible to all, creating new business value delivery systems and enabling innovation in the organisation. Data science is now a team sport. Thought leaders in the industry, Varsha Ramesar, Alex Pryor and Richard Vester reveal why reinventing the data scientist into a “decision engineer” and business domain expert is now pivotal to future business success as a result.

Speaking:

Tshepo Magoma

EOH Youth Solver, iOCO (South Africa)

Varsha Ramesar

Executive, Data and Analytics, iOCO (South Africa)

Richard Vester

Executive, Cloud & Security, iOCO (South Africa)

Alex Pryor

Divisional head of Digital Innovation, iOCO (South Africa)

Panel Discussion: The Data Scientist is Dead. Stream Partner: iOCO

May 25 | 14:20 - 14:50

Cloud technology has made the traditional data scientist obsolete. It has democratised data science as a business enabler, accessible to all, creating new business value delivery systems and enabling innovation in the organisation. Data science is now a team sport. Thought leaders in the industry, Varsha Ramesar, Alex Pryor and Richard Vester reveal why reinventing the data scientist into a “decision engineer” and business domain expert is now pivotal to future business success as a result.

Speaking:

AI Stream

2:20

Reserved for Stream Partner: DataRobot. End-to-End AI is possible, and even easy, for any enterprise

Across the world there are countless organizations that are somewhere on the road to implementing AI into their day to day business. Some are still quite new, and need to build an end-to-end capability from almost nothing, which is generally quite hard and often prohibitively expensive. Other organizations have already started fully embedding AI into their DNA and have an impressive set of capabilities and technologies available to them, but they are struggling to keep up with business demand and the barrier to entry for new team members goes up, limiting their new hire candidate pool. Any end-to-end AI solution needs to be both robust and flexible, as well as cater to many different personas. It must enable the junior while augmenting the experienced. It sounds pretty hard, but it is possible, and can even be easy.

Speaking:

DJ Human

Customer Facing Data Scientist, DataRobot (South Africa)

Reserved for Stream Partner: DataRobot. End-to-End AI is possible, and even easy, for any enterprise

May 25 | 14:20 - 14:50

Across the world there are countless organizations that are somewhere on the road to implementing AI into their day to day business. Some are still quite new, and need to build an end-to-end capability from almost nothing, which is generally quite hard and often prohibitively expensive. Other organizations have already started fully embedding AI into their DNA and have an impressive set of capabilities and technologies available to them, but they are struggling to keep up with business demand and the barrier to entry for new team members goes up, limiting their new hire candidate pool. Any end-to-end AI solution needs to be both robust and flexible, as well as cater to many different personas. It must enable the junior while augmenting the experienced. It sounds pretty hard, but it is possible, and can even be easy.

Speaking:

Cloud Stream 1

2:20

Reserved for Stream Partner: Huawei. How NOT to adopt cloud services!

Our session will share some insights into what we regard as the top 5 practical considerations when adopting cloud services. These include an understanding of the unknown costs of cloud and the impact of cloud adoption, on the managed services contracts.

Speaking:

George Thomas

Channel and Business Development Director- Cloud & AI, Huawei (South Africa)

Reserved for Stream Partner: Huawei. How NOT to adopt cloud services!

March 25 | 14:20 - 14:50

Our session will share some insights into what we regard as the top 5 practical considerations when adopting cloud services. These include an understanding of the unknown costs of cloud and the impact of cloud adoption, on the managed services contracts.

Speaking:

Data Governance Quality and Literacy Stream

2:55

Panel Discussion - What impacts the success of a data governance strategy? Debating policies, procedures & practical elements

Speaking:

Victor Adewusi

​Director, Data Analytics,​ ​Equity Bank (Kenya)

Deshani Padayachee

Head: Data Management and Analytics, SAfrican (South Africa)

Mark Goodman

Group Chief Data Officer, P​SG Konsult Ltd

Rina Purshotam

Head of Data Governance and Advanced Analytics​, STANLIB Asset Management (​South Africa)

Panel Discussion - What impacts the success of a data governance strategy? Debating policies, procedures & practical elements

May 25 | 14:55 - 15:25

Speaking:

Data Engineering Stream

2:55

International Keynote: The state of MLOps - machine learning in production at enterprise scale

Machine learning models cannot live on their own and have to be incorporated into the production environment. To that extent programming frameworks, tools and infrastructure are evolving at an enormous pace. New architectures and design patterns have arrived to work with these new technologies. One important field of research is MLOps, which has evolved into a way of working and set of best practices to deploy, test, manage, and monitor machine learning models in production. In this keynote we’ll explore this relatively new subject. Bas will explain the need for MLOps (and AIOps and ModelOps which are related), dive into the tools and techniques, and give some examples of real-world solutions.

Speaking:

Bas Geerdink

Lead ML Engineer, Wayfair, Co-Author, 'The Artificial Intelligence Infrastructure Workshop' (Netherlands)

International Keynote: The state of MLOps - machine learning in production at enterprise scale

May 25 | 14:55 - 15:25

Machine learning models cannot live on their own and have to be incorporated into the production environment. To that extent programming frameworks, tools and infrastructure are evolving at an enormous pace. New architectures and design patterns have arrived to work with these new technologies. One important field of research is MLOps, which has evolved into a way of working and set of best practices to deploy, test, manage, and monitor machine learning models in production. In this keynote we’ll explore this relatively new subject. Bas will explain the need for MLOps (and AIOps and ModelOps which are related), dive into the tools and techniques, and give some examples of real-world solutions.

Speaking:

AI Stream

2:55

Case Study: Keeping It Simple: Why AI Shouldn't Be Your First Step

Speaking:

Daniel Wertheimer

Data Scientist, Absa

Case Study: Keeping It Simple: Why AI Shouldn't Be Your First Step

May 25 | 14:55 - 15:25

Speaking:

Cloud Stream 1

2:55

International Keynote: Cloud Rationale, Challenges and Get Rights

Covering the key reasons why firms are moving to the cloud, the risks and challenges associated with a cloud transformation and some ‘get right’ points to make your cloud journey successful.

Speaking:

Ange Johnson De Wet

Head of Cloud and Technology Change Risk at Lloyds Banking Group

International Keynote: Cloud Rationale, Challenges and Get Rights

March 25 | 14:55 - 15:25

Covering the key reasons why firms are moving to the cloud, the risks and challenges associated with a cloud transformation and some ‘get right’ points to make your cloud journey successful.

Speaking:

Data Governance Quality and Literacy Stream

3:30

Virtual Coffee Break/Open Discussion

Virtual Coffee Break/Open Discussion

May 25 | 15:30 - 16:00

Speaking:

Data Engineering Stream

3:30

Virtual Coffee Break/Open Discussion

Virtual Coffee Break/Open Discussion

May 25 | 15:30 - 16:00

Speaking:

AI Stream

3:30

Virtual Coffee Break/Open Discussion

Virtual Coffee Break/Open Discussion

May 25 | 15:30 - 16:00

Speaking:

Cloud Stream 1

3:30

Virtual Coffee Break/Open Discussion

Virtual Coffee Break/Open Discussion

March 25 | 15:30 - 16:00

Speaking:

Data Governance Quality and Literacy Stream

4:05

Case study: How Stanbic Bank Uganda improved their data quality

An account of the steps on a journey to developing data assets and the role of data quality in supporting growth, protecting revenue and enhancing the customer experience. Tips on managing the process from data gathering, data cleaning & avoiding human error through to monitoring and remediating data quality, to ensure that data is fit for purpose. Presented by Stanbic Bank’s Enterprise Data Lead and a Data Quality specialist, representing both the technical and business aspects involved.

Speaking:

Samuel Bulenzi

Head Enterprise Data Office,​ Stanbic Bank Uganda ​(Uganda)

Rachel Nabwire

Data Quality Specialist, Stanbic Bank Uganda

Case study: How Stanbic Bank Uganda improved their data quality

May 25 | 16:05 - 16:35

An account of the steps on a journey to developing data assets and the role of data quality in supporting growth, protecting revenue and enhancing the customer experience. Tips on managing the process from data gathering, data cleaning & avoiding human error through to monitoring and remediating data quality, to ensure that data is fit for purpose. Presented by Stanbic Bank’s Enterprise Data Lead and a Data Quality specialist, representing both the technical and business aspects involved.

Speaking:

Data Engineering Stream

4:05

What 20 years in Data Engineering has taught me - insights on upskilling, managing change and staying relevant.

An expert shares his experience on dealing with constant change, learning the balance between soft skills and tech skills, advice on running a team and creating a healthy team culture. Gershon shares advice that helped him excel in his career as a data engineer and presents a case study on his findings.

Speaking:

Gershon Venkatsamy

Data Engineering Manager​, Netcare ​(South Africa)n

What 20 years in Data Engineering has taught me - insights on upskilling, managing change and staying relevant.

May 25 | 16:05 - 16:35

An expert shares his experience on dealing with constant change, learning the balance between soft skills and tech skills, advice on running a team and creating a healthy team culture. Gershon shares advice that helped him excel in his career as a data engineer and presents a case study on his findings.

Speaking:

AI Stream

4:05

Case Study: When business meets AI: how MTN succeeded

With Kagiso’s unique understanding of both the technical and business considerations in developing an AI strategy, he discusses what he learnt in the process of bringing Artificial Intelligence into MTN’s business strategy.

Speaking:

Kagiso Malema

Group Senior Manager: AI and Ml, ​MTN ​(South Africa)

Case Study: When business meets AI: how MTN succeeded

May 25 | 16:05 - 16:35

With Kagiso’s unique understanding of both the technical and business considerations in developing an AI strategy, he discusses what he learnt in the process of bringing Artificial Intelligence into MTN’s business strategy.

Speaking:

Cloud Stream 1

4:05

Case Study: “Navigating Stormy Clouds” A lesson on learning about cloud

Speaking:

Paul Morley

Executive: Group Data Service, Nedbank (South Africa)

Case Study: “Navigating Stormy Clouds” A lesson on learning about cloud

May 25 | 16:05 - 16:35

Speaking:

Data Governance Quality and Literacy Stream

4:40

Panel discussion: How to be an advocate on the value of data literacy to your executives - a thoughtful discussion on a new approach to data literacy strategies

It seems that no matter how hard data professionals work, data literacy remains a fundamental problem. In this eye opening discussion we explore a new approach - looping in the business executives as the drivers of data literacy, with support and guidance from the data teams. Experts from across industries discuss how this can be achieved and the factors to consider.

Speaking:

Oladejo Kolawole

Head, Data and Analytics, ​Wema Bank PLC​ (Nigeria)

Vukosi Sambo

Head of Data Management, Medscheme Holdings ​(South Africa)g

Julien Ghighi

Senior Data Analyst, Yoco (South Africa)

Dominic Albrecht

Head of Analytics, Digital Planet (South Africa)

Panel discussion: How to be an advocate on the value of data literacy to your executives - a thoughtful discussion on a new approach to data literacy strategies

May 25 | 16:40 - 17:10

It seems that no matter how hard data professionals work, data literacy remains a fundamental problem. In this eye opening discussion we explore a new approach - looping in the business executives as the drivers of data literacy, with support and guidance from the data teams. Experts from across industries discuss how this can be achieved and the factors to consider.

Speaking:

Data Engineering Stream

4:40

How to break down internal data silos in order to increase the impact of your growing data science team

From emergent data science startup into delivering enterprise data science at scale - hear how Telkom is breaking down silos across data management, data engineering, data analytics and artificial intelligence teams by adopting new ways of working. Learn how you can increase your impact and achieve greater synergy by adapting your operating model as you grow your team.

 

Speaking:

Stefan Steffen

Executive: Data Science, Telkom Group ​(South Africa)

How to break down internal data silos in order to increase the impact of your growing data science team

May 25 | 16:40 - 17:10

From emergent data science startup into delivering enterprise data science at scale - hear how Telkom is breaking down silos across data management, data engineering, data analytics and artificial intelligence teams by adopting new ways of working. Learn how you can increase your impact and achieve greater synergy by adapting your operating model as you grow your team.

 

Speaking:

AI Stream

4:40

Case study: Standard Bank’s journey to AI: How to accelerate AI adoption in a corporate setting

Insights towards creating a strong AI competency, growing AI awareness, and a model to enhance and accelerate AI delivery.

Speaking:

Tiaan Taljaard

Head, PreBuilt AI, Standard Bank​ (South Africa)

Case study: Standard Bank’s journey to AI: How to accelerate AI adoption in a corporate setting

May 25 | 16:40 - 17:10

Insights towards creating a strong AI competency, growing AI awareness, and a model to enhance and accelerate AI delivery.

Speaking:

Cloud Stream 1

4:40

Case Study: The Long Walk to the Cloud

Speaking:

Vivian Taylor

Group Head of Data Management at Hollard Insurance (South Africa)

Adrian Denoon

Architecture Chapter Lead, Hollard Insurance (South Africa)

Case Study: The Long Walk to the Cloud

March 25 | 16:40 - 17:10

Speaking:

Day 2 - 26 May 2021
08:45

DataCon Africa: Live 2021 Platform Opens

DataCon Africa: Live 2021 Platform Opens

May 26 | 08:45 - 09:00

Speaking:

09:00

Data Conversations Over Coffee: Ethics in AI

We sit down with a top data expert to have a frank conversation on ethics in AI - all over a cup of coffee. Make your own cup, get comfortable, and join the conversation.

Speaking:

Nanda Padayachee

Head AI, Automation and APIs, Standard Bank Group (South Africa)

Data Conversations Over Coffee: Ethics in AI

May 26 | 09:00 - 09:30

We sit down with a top data expert to have a frank conversation on ethics in AI - all over a cup of coffee. Make your own cup, get comfortable, and join the conversation.

Speaking:

09:35

International Keynote: How to align data strategy with corporate strategy to achieve top business value

Speaking:

Phanii Pydimarri

Senior Director, AI & Advanced Analytics, Stanley Black & Decker, Inc. (USA)

International Keynote: How to align data strategy with corporate strategy to achieve top business value

May 26 | 09:35 - 10:05

Speaking:

10:10

Reserved for Platinum Partner 3: OneTrust. How Active Data Governance Unlocks Valuable Insights & Creates Efficiencies

Active data governance gives organizations a competitive edge. Properly governed data leads to better data quality, increased data intelligence and more trusted data.  In this session, we'll highlight how data governance provides valuable insights about your data, helping to create greater efficiencies across your entire organization.

Speaking:

Sam Gillespie

Product Offering Manager, OneTrust (UK)

Reserved for Platinum Partner 3: OneTrust. How Active Data Governance Unlocks Valuable Insights & Creates Efficiencies

May 26 | 10:10 - 10:40

Active data governance gives organizations a competitive edge. Properly governed data leads to better data quality, increased data intelligence and more trusted data.  In this session, we'll highlight how data governance provides valuable insights about your data, helping to create greater efficiencies across your entire organization.

Speaking:

10:45

International Keynote: Culture is King - fostering organizational excellence in data and analytics

Speaking:

Dr. Vipin Gopal

VP, Chief Data and Analytics Officer, Eli Lilly and Company (USA)

International Keynote: Culture is King - fostering organizational excellence in data and analytics

May 26 | 10:45 - 11:15

Speaking:

11:20

Virtual Coffee Break

Virtual Coffee Break

May 26 | 11:20 - 11:40

Speaking:

11:45

Reserved for Platinum Partner 4: FICO. How to Overcome Challenges in Operationalizing Analytics

Speaking:

Peter Ould

Principal Consultant, FICO (UK)

Reserved for Platinum Partner 4: FICO. How to Overcome Challenges in Operationalizing Analytics

May 26 | 11:45 - 12:15

Speaking:

12:20

Panel discussion: Africa’s supposed skills gap - are we lacking in talent, or not developing it and utilising it correctly? A debate on hiring & training data specialists.

A lack of talented staff, a lack of resources, not enough education for data specialists, employees lack basic skills - sound familiar? Is there really a skills gap in Africa, causing data teams to suffer nationwide, or are we not utilising the talent that we have? How do we recruit, hire and train data specialists so that they can become assets to our teams? Our panel of experts debate and discuss.

Speaking:

Maritza Curry

Head of Data, RCS Group (BNP Paribas Personal Finance)

Emmanuel Osanga

Head Data Management Africa Regions​, Standard Bank ​(South Africa)

Michiel van Staden

Analytics Lead: Everyday Banking Growth, Absa (South Africa)

Olamide Jolaoso

Team Lead, Data Analytics and Insights, S​terling Bank PLC​ (Nigeria)

Panel discussion: Africa’s supposed skills gap - are we lacking in talent, or not developing it and utilising it correctly? A debate on hiring & training data specialists.

May 26 | 12:20 - 12:50

A lack of talented staff, a lack of resources, not enough education for data specialists, employees lack basic skills - sound familiar? Is there really a skills gap in Africa, causing data teams to suffer nationwide, or are we not utilising the talent that we have? How do we recruit, hire and train data specialists so that they can become assets to our teams? Our panel of experts debate and discuss.

Speaking:

12:55

Running a data and analytics capability like a start-up in corporate banking - insights from Absa

●  Setting up a data value chain, with key measures for success

●  Building out business data assets, with a core obsession with delivering value

●  Establishing the right type of analytical culture, with the team and business

Speaking:

Maciej Kaliszka

Chief Data Officer: CIB, Absa

Running a data and analytics capability like a start-up in corporate banking - insights from Absa

May 26 | 12:55 - 13:15

●  Setting up a data value chain, with key measures for success

●  Building out business data assets, with a core obsession with delivering value

●  Establishing the right type of analytical culture, with the team and business

Speaking:

1:20

International Keynote: Data Governance and the cloud

Speaking:

Dee Samra

IT Director, Data Governance and Quality, Liberty Global (UK)

International Keynote: Data Governance and the cloud

May 26 | 13:20 - 13:40

Speaking:

1:45

Virtual Lunch Break

Virtual Lunch Break

May 26 | 13:45 - 14:15

Speaking:

2:20

Reserved for Stream Partner: Deloitte. Snowflake Migration Factory – Accelerating Your Cloud Modernisation Journey

Digital transformation has put data and analytics at the centre of every business strategy and many organisations are embarking on a cloud analytics modernisation journeys to service this demand. The reality is that most organisations have heavily invested in legacy data and analytic systems that need to be migrated to the cloud in order to take advantage of its rapidly expanding analytical capabilities – often a daunting task. To address this Deloitte, a Snowflake Elite partner, has developed the ‘Snowflake Migration Factory’ as an accelerator to assist organisations in their journey to the Snowflake cloud.  

Speaking:

Raj Kamath

Strategy & Analytics Leader, Deloitte Consulting USA

Amit Vanmali

Cloud Data Engineering Leader, Deloitte Africa (South Africa)

Reserved for Stream Partner: Deloitte. Snowflake Migration Factory – Accelerating Your Cloud Modernisation Journey

May 26 | 14:20 - 14:50

Digital transformation has put data and analytics at the centre of every business strategy and many organisations are embarking on a cloud analytics modernisation journeys to service this demand. The reality is that most organisations have heavily invested in legacy data and analytic systems that need to be migrated to the cloud in order to take advantage of its rapidly expanding analytical capabilities – often a daunting task. To address this Deloitte, a Snowflake Elite partner, has developed the ‘Snowflake Migration Factory’ as an accelerator to assist organisations in their journey to the Snowflake cloud.  

Speaking:

Strategy and Culture Stream

2:55

International Keynote: How to use your data as a strategic asset - turning information into insights

You have more than enough data, but you don’t know how to react in real time, turn the information into insights or use it to your advantage - sound familiar? Caroline and Peter, world renowned data experts, authors & speakers share top tips on how to use your data as a strategic asset.

Speaking:

Caroline Carruthers

Chief Executive, Carruthers and Jackson Limited (UK)

Peter Jackson

Director & CDAO, Carruthers & Jackson (UK)

International Keynote: How to use your data as a strategic asset - turning information into insights

May 26 | 14:55 - 15:25

You have more than enough data, but you don’t know how to react in real time, turn the information into insights or use it to your advantage - sound familiar? Caroline and Peter, world renowned data experts, authors & speakers share top tips on how to use your data as a strategic asset.

Speaking:

Data for Change Stream

2:55

Panel discussion: Women in data - Setting yourself up for success.

Four women from different backgrounds, industries and countries have an insightful and inspiring discussion on how they found success in a male dominated industry, how they shifted their mindsets to reach their goals and how women can support and uplift one another.

Speaking:

Karen Jean Francois

Analytics Manager​, C​ardlytics,​ host and producer of the ​"Women in Data" podcast ​(UK)

Reena Shah

Legal Advisor & Data Protection Champion, Diversity & Inclusion and Belonging Champion, Nestlé (ESAR)

Nollie Maoto

Executive Head: Business Intelligence, Analytics & Planning and Monitoring, FNB (South Africa)

Panel discussion: Women in data - Setting yourself up for success.

May 26 | 14:55 - 15:25

Four women from different backgrounds, industries and countries have an insightful and inspiring discussion on how they found success in a male dominated industry, how they shifted their mindsets to reach their goals and how women can support and uplift one another.

Speaking:

Data Privacy and Protection Stream

2:55

The 5 questions I get asked the most as a Chief Privacy Officer

Speaking:

Jeanine Norden

Group Head of Data Management & Chief Information Officer, Momentum Metropolitan (South Africa)

The 5 questions I get asked the most as a Chief Privacy Officer

May 26 | 14:55 - 15:25

Speaking:

Cloud Stream 2

2:55

International Keynote: The sky’s the limit - exploring the possibilities for your growth once you have moved to the cloud

Speaking:

Rohit Agrawal

Director, IT - Global Head of Cloud and Data Center, Siemens Healthineers ​(USA)

International Keynote: The sky’s the limit - exploring the possibilities for your growth once you have moved to the cloud

May 26 | 14:55 - 15:25

Speaking:

Strategy and Culture Stream

3:30

Virtual Coffee Break/Open Discussion

Virtual Coffee Break/Open Discussion

May 26 | 15:30 - 16:00

Speaking:

Data for Change Stream

3:30

Virtual Coffee Break/Open Discussion

Virtual Coffee Break/Open Discussion

May 26 | 15:30 - 16:00

Speaking:

Data Privacy and Protection Stream

3:30

Virtual Coffee Break/Open Discussion

Virtual Coffee Break/Open Discussion

May 26 | 15:30 - 16:00

Speaking:

Cloud Stream 2

3:30

Virtual Coffee Break/Open Discussion

Virtual Coffee Break/Open Discussion

May 26 | 15:30 - 16:00

Speaking:

Strategy and Culture Stream

4:05

Panel discussion: The role of data culture when integrating tech and business

A company can only become data driven with company wide buy-in, yet so many data experts struggle to create a meaningful shift in culture. Top experts who have successfully managed to create a data culture in their organizations share how they did it, including insights on how the unique culture of your country might impact your approach.

Speaking:

Caroline Herron

Enterprise Data Architect, C​ apitec Bank, ​Senior Executive Business Resilience and Data (Partner), ​The Caridon, Group ​(South Africa)

Aaron Simumba

Business Intelligence and Analytics Lead | Data Science | Data Engineering, ​Entrepreneurs Financial Center (EFC) (​Zambia)

Hartnell Ndungi

C​hief Data Officer​, Absa Bank (​Kenya)

Camilo Amarcy

Head of Data Analytics & Strategy, Absa (Mozambique)

Panel discussion: The role of data culture when integrating tech and business

May 26 | 16:05 - 16:35

A company can only become data driven with company wide buy-in, yet so many data experts struggle to create a meaningful shift in culture. Top experts who have successfully managed to create a data culture in their organizations share how they did it, including insights on how the unique culture of your country might impact your approach.

Speaking:

Data for Change Stream

4:05

Panel discussion: Data for good - how to make a meaningful impact using modern resources

Analytics, artificial intelligence, machine learning, digital platforms and data-driven decision-making all hold significant potential to address complex real-world problems, while delivering societal benefits. Join this session to learn about the many ways that data is being used in meaningful ways by organisations across the globe to solve humanitarian issues around poverty, health, human rights, education, and the environment. Applying data for social good has led to new and creative ways to help people and communities prosper.

Speaking:

Siobhain O’Mahony

2020 Global Top 100 Innovators in Data and Analytics | Actuary | Analytics, Strategy and Investments Leader | Non-executive Director, (South Africa)

Dr. Ahmed Huissen Roshdy​

Analytics and Data Science Senior Manager- PhD, ​Vodafone ​(Egypt)

Jess Gergen

Founder and CEO​, Visualst ​(Mozambique)

Dr. Mark Nasila

Chief Analytics Officer: Consumer Banking & Chief Risk Office, FNB

Panel discussion: Data for good - how to make a meaningful impact using modern resources

May 26 | 16:05 - 16:35

Analytics, artificial intelligence, machine learning, digital platforms and data-driven decision-making all hold significant potential to address complex real-world problems, while delivering societal benefits. Join this session to learn about the many ways that data is being used in meaningful ways by organisations across the globe to solve humanitarian issues around poverty, health, human rights, education, and the environment. Applying data for social good has led to new and creative ways to help people and communities prosper.

Speaking:

Data Privacy and Protection Stream

4:05

Case Study: Data Security and Privacy Considerations

Speaking:

Adele Jones

Lead Architect: Information Security & Blockchain, Nedbank (South Africa)

Case Study: Data Security and Privacy Considerations

May 26 | 16:05 - 16:35

Speaking:

Cloud Stream 2

4:05

MultiChoice Cloud Case Study

Speaking:

Debra Goosen

Lead Analytics Innovation, MultiChoice Group

MultiChoice Cloud Case Study

March 26 | 16:05 - 16:35

Speaking:

Strategy and Culture Stream

4:40

Case study: Creating a data centric business model - when tech meets business, by MultiChoice Group

MultiChoice is undergoing significant changes on how we use data to become more competitive and remain relevant in our customers lives. In order to do this, the data and tech teams had to partner with business to ensure that we all deliver on 4 strategic principals:

  • Use it to generate revenue
  • Extract maximum value from it
  • Invest in it
  • Take care of it; protect it

 

Speaking:

Morne Bosch-Serfontein

Chief Data Officer, Multichoice Group

Case study: Creating a data centric business model - when tech meets business, by MultiChoice Group

May 26 | 16:40 - 17:10

MultiChoice is undergoing significant changes on how we use data to become more competitive and remain relevant in our customers lives. In order to do this, the data and tech teams had to partner with business to ensure that we all deliver on 4 strategic principals:

  • Use it to generate revenue
  • Extract maximum value from it
  • Invest in it
  • Take care of it; protect it

 

Speaking:

Data for Change Stream

4:40

Data strategies for SMME’s - how to stimulate economic growth in a time of financial uncertainty

A curious investigation of how small businesses are using data, from your local corner store to Sunday bike coffee stop and everything in-between. What lessons can we learn and what role can data science play to support, and champion small business survivability during periods of economic downturn.

Speaking:

Tiaan de Kock

Group Data Director, King James Group (South Africa)

Data strategies for SMME’s - how to stimulate economic growth in a time of financial uncertainty

May 26 | 16:40 - 17:10

A curious investigation of how small businesses are using data, from your local corner store to Sunday bike coffee stop and everything in-between. What lessons can we learn and what role can data science play to support, and champion small business survivability during periods of economic downturn.

Speaking:

Data Privacy and Protection Stream

4:40

Case Study: How to implement successful training and awareness on data privacy company wide

Janine will cover important topics such as:

-making training personal, audience targeted and not just theoretical
-keeping it evergreen
-test understanding and adjust accordingly

Speaking:

Janine West

Head of Privacy: Africa, Experian (South Africa)

Case Study: How to implement successful training and awareness on data privacy company wide

May 26 | 16:40 - 17:10

Janine will cover important topics such as:

-making training personal, audience targeted and not just theoretical
-keeping it evergreen
-test understanding and adjust accordingly

Speaking:

Cloud Stream 2

4:40

Case study: How to use the cloud advantage to advance your business strategy

Speaking:

Bradley Smith

Engineering Practice Lead: Data, Analytics and Artificial Intelligence,​ Standard Bank ​(South Africa)

Case study: How to use the cloud advantage to advance your business strategy

May 26 | 16:40 - 17:10

Speaking:

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