DATE

6 – 7 March 2019

LOCATION

Johannesburg

MC

TBA

PRICE

R7 950

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ABOUT THE EVENT

In this conversational masterclass, led by experienced Executives with deep business and data science knowledge, approached from the point of view of leaders, decision makers, policy makers, managers and executives using real case studies to drive practical outcomes, participants will be challenged to think differently about the role of information in planning and everyday execution.

Responding to the growing importance of 21st century digital technologies on business strategy and success, this workshop investigates the critical role that data, science and machine learning play in decision making and product/service strategies at highest level.

As a participant, you will explore the proper balance between digital and data science skills, and you will emerge better prepared to make decisions that build competitive advantage of your organization. Moreover, you gain an understanding of the role that data intelligent technologies and solutions can play in your organization’s strategy.

Get the latest insights, trends and discoveries in big data, machine learning and analytics platforms, solutions, languages, and open source ecosystem Deploy the data analytics lifecycle to address Big Data analytics projects Machine learning fundamentals, the importance of algorithms, and machine learning as a service.

MASTERCLASS TOPICS

  • A Data Driven Digital World
  • The Big Data Landscape
  • Building highly effective Data Science teams
  • Analytics and User Cases
  • Telling the story with data
  • Machine learning
  • Data Analytic Tools
  • Data Analytic Tools Market-Putting The Pieces Together

EXPECTED OUTCOME

  • By the end of the master class participants will be able to explain Big Data and the Data Ecosystem.
  • Apply appropriate analytics tools and techniques to collect and analyze Big Data and Identify insights that can lead to actionable results, Leverage advanced analytics to create an organizational competitive advantage.
  • Deploy the data analytics to address Big Data analytics projects. Define machine learning, why it matters and discuss its relationship to analytics, data science and big data.
  • Machine learning fundamentals, the importance of algorithms and machine learning as a service. Highlight the key benefits that are achieved with big data and how to identify, scope and secure support for a suitable pilot project.

FACILITATORS

Brett StClair

Brett StClair

CEO OF SIATIK, GOOGLES LARGEST CLOUD PARTNER IN AFRICA

Topic; A Data Driven Digital World

Manoj Chiba

Manoj Chiba

Lecturer / Data Scientist with Technical and Business Experience

Topic; The Big Data Landscape

Prof. Riaan de Jongh

Prof. Riaan de Jongh

DIRECTOR OF THE CENTRE FOR BMI, NORTH-WEST UNIVERSITY

Topic; Building highly effective Data Science teams

Dustin Homer

Dustin Homer

Director of Client Solutions at Fraym

Topic;  Analytics and User Cases

Reona Bassudeo

Reona Bassudeo

Data Scientist - Anglo Platinum

Topic; Telling the story with data

DR Jacques Ludik

DR Jacques Ludik

FOUNDER & CEO, CORTEX LOGIC FOUNDER & PRESIDENT, MIIA

Topic; Machine Learning

Dr Anushka Bogdanov

Dr Anushka Bogdanov

Managing Director at Risk Insights (Pty) Ltd

Topic; Data Analytic Tools in the Financial Services Sector

Roberto Croci

Roberto Croci

Head of Google Analytics 360 EMEA Emerging Markets

Topic; Data Analytic Tools Market-Putting The Pieces Together

Workshop Coordinators

Prinavan Pillay

Prinavan Pillay

Co-Founder, Director at Siatik (Google Cloud Partner for Africa)

 

Kimoon Kim

Kimoon Kim

Africa's leading Google Cloud Expert, Google Cloud Authorized Trainer, Google Developer Expert

WHO SHOULD ATTEND?

CEO, CTO, CIO, CDO, CMO, Company Directors, Executives, Entrepreneurs, Business Managers In Technology, Senior Managers, Analytics Executives, Data Scientists, Data Practitioners, Customer Services, Marketing, Finance, Human Resources, And Sales Roles

INDUSTRIES

Government, SOE, Public Services, Startups, Government Services & Private Sector, Telecommunications, Retail, Media  Entertainment, Tourism & Hospitality, Banking & Financial, Healthcare And Others

OUR PARTNERS

VISIT US

Ist Floor, Block D
Vunani Office Park
151 Katherine Street
Sandton

CONTACT US

Tel: +27 (11) 883 2787
Email: admin@africadataforum.com

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