Agenda Day 2

Plenary: AI and advanced analytics

Arrival and registration

Opening remarks from the Chair

Chair: Michael Avery , Michael Avery, Anchor, Classic Business FM

Keynote Making AI a business reality

Mike Bugembe , Mike Bugembe, founder,

Business and technology experts believe AI will be the most significant technological revolution that businesses have ever experienced. Despite this excitement, some executives are still asking if this is all hype, others are asking if it is even relevant to their industry! The reality is, if you want your business to succeed in the coming decade (and who doesn’t?), you need to pay attention to AI.

Your very existence will depend on it. This presentation will help you:

  • See through the hype;
  • Understand how AI applies to your business; and
  • Understand how you can move it from an aspiration to a business reality.
Case Study Beyond the hype: A practical approach to implementing AI in your organisation

Guy Taylor , Guy Taylor, Director of Data Science & Analytics, Booking.Com

    • Examining the reasons for implementing AI:
      • Enhance your customer experience;
      • Empower your employees;
      • Optimise your operations; and
      • Transform your products.
  • Making the business case for AI – linking proposed solutions to specific business benefits.
  • AI in the BI environment: How do you upskill your current BI/analytics team and train them to implement and use AI tools?
  • Looking at current AI implementations, eg, chatbots. How do you ensure the performance of your bot and increase engagement?
  • Moving beyond chatbots to cognitive computing – the trend towards natural language processing.
The future of data and analytics: how augmented analytics has the potential to transform your organisation

Donald Farmer , Donald Farmer, Principal, Treehive Strategy

  • What is augmented analytics and how can it benefit your business?
  • Understanding how data is prepared, shared and operationalised using augmented analytics to enable faster access to insights and more accurate business predictions.
  • What are the advantages of augmented analytics for your data and analytics team?
Morning refreshments and networking

What is customer analytics and how can it transform your customer experience?

Yudhvir Seetharam , Yudhvir Seetharam, Head of Analytics, Insights and Research, FNB Business

  • How can you use the data that you have to create a true single view of your customer?
  • To what extent does customer analytics contribute value to companies’ performance?
  • What are the key success factors for reaping the benefits of customer analytics?
  • What practical steps can you take to start applying customer analytics in your organisation?
Case Study Achieving a complete view of the customer in a digital-only business: what opportunities does this bring?

Ernest North , Ernest North, Co-founder, Naked Insurance

    • Examining the challenges of integrating data from multiple systems and channels to achieve a single view of customer in a traditional business
    • Understanding how Naked’s digital business model allows it to store millions of data points from every micro interaction a client has on its app, thus achieving a complete view of that client
    • Identifying the benefits of the single view of the customer with Naked’s model:
      • Using AI’s superior ability to classify risk and to predict behaviour, thereby reducing fraud and lowering premiums
      • Making customer interactions quicker and less intrusive (eg more than 98% of claims are fast-tracked, removing the frustration and time delays associated with old-school insurance)
Datathon update and announcement of winner

Tiyani Nghonyama , Tiyani Nghonyama, COO, Geekulcha

Lunch and networking

Track One: Data warehousing, architecture and modelling

This data track has more of a technical focus, examining the issues around migrating your data warehouse, architecting a business-centric data model, managing the transition to a modern data architecture and achieving best practice in modern data integration.

Welcome track chairman

Michael Avery , Michael Avery, Anchor, Classic Business FM

Case Study Migrating to a next-generation data warehouse

Gershon Venkatsamy , Gershon Venkatsamy, Data Enthusiast

  • Examining how to migrate from a relational database to a Hadoop data warehouse: what have the results been? What other value can be derived from the Hadoop ecosystem?
  • Looking at the benefits of incorporating Apache Kafka into the data warehouse environment
  • What are the implications of moving forward to the cloud for data warehousing? Can the two systems operate in parallel?
  • Understanding the potential of data streaming technology – could it eventually replace traditional databases?
  • Analysing the importance of team culture and what is required from a people perspective for an organisation to make such a transition
Data modelling for data-centric architectures

Howard Diesel , Information Governance Advisor & Mentor, South African Reserve Bank; President, Data Administration Management Association (DAMA SA)Howard Diesel, Information Governance Advisor & Mentor, South African Reserve Bank; President, Data Administration Management Association (DAMA SA)

  • Examining the changing role of the data model and metadata, and the challenges this presents for today’s organisations.
  • What are the elemental characteristics of data that provide a common denominator for modelling for all types of data?
  • How is this common denominator used to map various kinds of databases, including relational, dimensional, NoSQL, NewSQL, graph and document?
  • What are the critical success factors for a creating a business-centric data model?
Afternoon refreshments and networking

Managing the transition to a modern data architecture

Theo Groenewald , Theo Groenewald, Senior Solutions Architect, Discovery

  • What does a modern data architecture look like? What are the critical success factors?
  • Examining how to plan and document a modernised data architecture.
  • Identifying techniques to map standards and technology to architecture layers.
  • How do non-relational data platforms fit into new data architectures?
  • What is the role of virtualisation and cloud storage in your architecture?
  • How can data architectures be adjusted to support self-service BI and analytics?
Achieving best practice in modern data integration

Nicole Adriaans , Nicole Adriaans, Head of Consulting, LuminIS Consulting

  • How do evolving information demands and modern data pipelines create data integration challenges?
  • How can you pursue data integration as a strategic capability?
  • Examining modern integration technologies such as data virtualisation, data preparation, data engineering and stream data integration
  • How can you complement traditional integration practices such as ETL/ESB with modern integration technologies?

Closing remarks from the chair and end of summit

Closing remarks from the chair and end of day two

Track Two - AI, automation and data science

This track will focus on the practical implementation of data science projects. We’ll look at examples of successful implementations, plus how to successfully build a data science team in your organisation. We’ll also examine the role of RPA in data management.

Welcome track chairman

Lauren Berrington , Lauren Berrington, Chief Audit Executive & Chairperson of the IT Forum, Bidvest

Accelerating the time to value from data and analytics

Michael Corcoran , Michael Corcoran, Senior Vice President, Information Builders

While data and analytics have become the top priority for most organizations, many executives believe they are not achieving the anticipated results and benefits from their investments. For example, everyone is excited about the potential for advanced analytics, such as predictive, AI and machine learning, yet fewer than 15% of organizations are applying these technologies in production projects. Using real-world case studies, this session will illustrate how market leaders are delivering on the high returns expected from data and analytics. In the session, we will discuss the importance of aligning your data strategy with your analytics strategy. We will also uncover the use cases which offer the best opportunities and how to avoid the 4 major inhibitors to success.   

Case Study Strategies for implementing effective data science projects

Daniel Seymore , Daniel Seymore, Head: Business Intelligence Private Banking, Investec

  • Identifying the benefits of data science – how does it integrate with your existing data and analytics functions?
  • How to set objectives before going ahead with your data science projects.
  • How to start simply and why doing so is the key to success.
  • Creating the right organisational and delivery framework in which data science can succeed.
  • How do you measure the success of your data science projects?
Networking and refreshments

Case Study Identifying areas for AI and automation and managing the transition

Lauren Berrington , Lauren Berrington, Chief Audit Executive & Chairperson of the IT Forum, Bidvest

  • Encouraging cross-functional collaboration
  • Tying your AI project to a measurable ROI
  • Reskilling and redeploying workforce: identifying the skills gaps and potential loss of jobs
Democratizing Intelligence: How cloud technology is empowering business through access to AI

Hendri Lategan , Hendri Lategan, CEO, Swipe iX

Digital transformation is not just about developing new products, processes or tools, it’s about redefining what efficiency means for your business. In an era of rapidly increasing competition brought about by the exponential adoption of cloud solutions and AI, companies need to innovate now more than ever in order to maintain that critical edge. But can these applications work in the context of your own business and be put to work on your unique challenges? Absolutely. In this presentation Hendri will explain how.   

Closing remarks from the chair and end of summit

Closing remarks from the chair and end of day two

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