Quantum Summit 2021


Middle East Data and Analytics Summit


Usage of Data and analytics in the Middle East is growing exponentially, by 2022 it is expected to be worth around $61 billion. As businesses using data and analytics in the Middle East are going through an exciting phase of growth, the focus is on making the most of their prized asset. 

As organisations scramble to take actionable insights from their data to help them through uncertainty and guesswork, data and analytics help them achieve their objectives and plan a new growth roadmap and contingency plans. 

Technology leaders’ role will include playing an integral part in the business planning and taking leadership roles to head these businesses. The pandemic has opened up new opportunities for some and challenges for those who are still stuck in the past.  

Data and Analytics, combined with other emerging technologies such as Artificial Intelligence, Automation, Hybrid Cloud, Edge Computing, are accelerating the digital transformation across the region.

Quantum Summit 2021 by DatatechVibe, the region’s most influential community of technology leaders, will be driving this narrative by hosting a two-day in-person summit in Dubai. Bridging the gap between what businesses need, want and what their current bandwidth allows them to do. The summit will herald a new world order as data-informed decisions become critical for organisations. A mix of global expertise, regional technology leadership and select solution providers based on their experience in helping businesses set their data in order, Quantum Summit 2021  will focus on what companies are going through right now, “Change”.

Data & Analytics in Numbers

  • $60.7 billion – market size of data & analytics in the Middle East by 2022 (Deloitte)
  • 42% – of business leaders believe data analytics will help them deliver a superior CX (Forbes)
  • 31.4% – BFSI globally leads the market share in Big Data (Fortune Business)
  • 44 Zettabytes – the amount of data created globally daily (World Economic Forum)
  • $135 billion – AI & Data Analytics’ contribution to Saudi GDP by 2030 (SME10x)
  • 50% – the amount of data to be generated at the edge of networks (Gartner)

Why attend?

Develop a ‘Data First’ strategy

With ‘data first’ strategy becoming more critical than ever, learning how to implement it will help you accelerate your growth and gain a competitive edge.

Get the right technology.

Know the right kind of data analytics technology to meet your transformation needs. Evaluate the ones used by your competition to help you make the smarter choice.

Develop a leadership attitude with data

Understanding how having actionable data insights will be a business leader’s biggest strength as you learn to merge business innovation, revenue and technology while creating a data-driven culture.

Understand Evolving customers & businesses

Business processes transform as customers take better and informed decisions. Understand how technology is the enabler that helps your business stay ahead of the evolution curve. 

Understand Customer Preference & Boost Customer Experience

Delivering a top-notch CX with a combination of rich interactions, personalised insights on consumers and a proactive approach of allowing customers to interact in the channel of their choice

2021 will focus on

  • Cloud-based data analytics
  • Data analytics by governments
  • Automation of data classification & modelling
  • Customer personalisation
  • Real-time data analytics
  • Analytical & operational data
  • AI-powered data experiences
  • Geospatial data for enterprise transformation
  • Reconfiguring cloud for analytics
  • Augmented data management
  • Graph technologies for decision making
  • Security analytics
  • BI tools in big data
  • Privacy & Ethics

Who should attend?


  • Chief Operations Officer
  • Chief Data Officer
  • Chief Digital Officer
  • Chief Information Officer
  • Chief Information Security Officer
  • Vice-President/Director/General Manager/Manager – Data, Data Science, Analytics Operations, Information Technology, Technology, Digital, Digital Transformation, CRM, 
  • Managers/Specialists/Analysts – Data, Data Science, Analytics, Digital Transformation, Information Technology, Data Intelligence, Operations, CRM, Digital, Technology, eCommerce

Focus Industries

  • Banking & Finance
  • Healthcare
  • Automobile
  • Publishing & Retail
  • Real Estate
  • Telecom
  • Governments
  • Transportation
  • FMCG
  • Media & Entertainment

Speakers & Panelists:


09.55 Welcome Address from DatatechVibe

09.55 Keynote Address:-

 The Leadership View: Accelerating your business

  • Understanding how to bring about a cultural change & data literacy along with trust within the organisation
  • Creating a vision for a data-driven organisation supporting your transformation goals
  • Creating a need for an operating model that combines various factors such as bandwidth, solutions, objectives & delivery

10.00 Real-time data analytics: Stronger data assets & better decision making

  • Listing scenarios that require access to data in real-time, thus helping the overall bottom line
  • Making use of real-time data to identify and stop security breach, thus helping with risk mitigation
  • Running simulations on real-life scenarios with predictive analysis allowing you to reduce costs vis-a-vis testing in a physical environment

10.20 Data Analytics & Cloud: Keep data & database at the centre of your transformation

  • Developing cloud-native databases as organisations work overtime to migrate to the cloud
  • Realising how databases are critical to your innovation strategies and growth
  • Breaking the silos between analytical and operational data to help make better decisions and realise new opportunities

10.45 AI/ML Data Experiences: Capitalising on business intelligence in the new digital era

  • Discussing dashboard and data products integral to your internal use, to see better results
  • Operationalising your AI/ML projects with data & analytics to help you predict, plan, develop measures and countermeasures to the new demand pattern
  • Handling complex business scenarios through reinforced and distributed learning in AI

11.05 Decision Intelligence: Analytics creating the right support and management infrastructure

  • Predicting consumer behaviour and creating a framework of decision models through advanced analytics
  • Automating decision management and audits at regular intervals to maintain effectiveness and the right approach
  • Minimising costs and delivery turnaround and increasing production levels 

11.25 Networking Break

11.45 Data Engineering: Making a large amount of reliable data available for businesses

  • Has the scope of data engineering principles changed in the face of an accelerated business transformation in a post-pandemic scenario?
  • Deliberating whether data mesh principles can drive a unified data management platform
  • Discussing if getting a collaborative data science platform is still a challenge for businesses and what can be done to overcome the challenge

12.05 Data Analytics in Government: Securing and Streamlining processes

  • Overcoming the institutional inertia by identifying the right solution and highlighting its impact
  • Reducing data movement by ensuring processing is done within the database
  • Adopting a centralised storage and governance mechanism across organisations to help meet a more significant objective 

12.25 Automation of Analytics: Changing the data science landscape

  • Eliminating repetitive analytics & data tasks such as data preparation, evaluation of algorithms and much more
  • Empowering more decision-makers without the knowledge of coding to run advanced analytics for better business outcome
  • Making better use of data assets through automation of analytics to drive better results especially with product development  

12.50 Data Democratisation: Providing structured data for employees to use

  • Management of data and analytics’ tools by employees to map trends and key learnings
  • Handling day to day data requirements by teams with reduced dependency on IT teams
  • Facilitating the rise of agile teams that gives organisations a competitive edge 

13.15 Data Exchanges: A distant reality or a near possibility

  • Will organisations collaborate through data exchanges to form strategic relationships?
  • Guaranteeing the security and quality of data being exchanged or monetised 

13.35 Lakehouse Adoption: Embracing a new data management paradigm 

  • Data analytics and its application in a unified environment as a beneficial move for new-age organisations 
  • Creating the right balance between both structured and unstructured data format with the lakehouse architecture 
  • Better data accessibility and visibility helps provide analytics-ready data with an engine for data integrations & transformation

13.55 Securing Big Data Analytics: As opportunities increase, so do the risks

  • Speeding the transition from handling the attack to detection with analytics that helps determine a pattern 
  • Addressing concerns about deploying analytics as a part of your cybersecurity strategy on a larger scale
  • Accessing vulnerabilities and implementing solutions that meet regulatory requirements and also look at data encryption, access control policies as possible solutions

14.15 Data Governance: Reliable assets, better quality, increased trust

  • Using analytics to help improve data quality which in turn enhances user trust and data utilisation
  • Moving from just complying with regulations to identifying violations with a proactive approach
  • Making use of metadata not only as an essential aspect of data governance but also to help deliver strategic business insights

14.35 INTERNATIONAL KEYNOTE: Will the Next 5 Years Be Driven by Data Revolution?

15.00 END OF DAY 1


09.55 Welcome Remarks from DatatechVibe

10.00     WORKSHOP 1:- 

The Data & Analytics Architecture: Agile, Improved Capabilities & Unified

With a significant focus on getting niche data and analysis on customer behaviour, preferences, predictions on how it will change, combined with the need for an increased speed in delivery, constant product and service innovation, complexities have increased within the data & analytics architecture of an organisation. The workshop aims to help attendees reduce those complexities, improve service delivery speed, and make the most technological advancements that allow businesses to update their current legacy-driven ecosystems. If building a competitive edge for your organisation, making the most data & analytics is your priority, this workshop will help you do just that. 

If it is not a priority, then it is even more critical for you to attend to understand what you are missing.  


  • Developing a new roadmap for implementing & integrating your data stacks
  • Using your cloud environment and infrastructure to your advantage when it comes to data & analytics
  • Creating a unified core of data analytics and helping move from rigid data models to a flexible schema with regards to the data lake
  • Understanding how the benefits of this will pan across savings, reduced risks, new revenue streams and better opportunities
  • Making fundamental changes such as moving to real-time data processing from batch, moving to cloud-based data platforms and decoupled data access

11.30 Coffee & Networking Break

12.00 WORKSHOP 2:-

Applied Data: Better structuring, visualisation & comprehensive analysis

While we all understand the importance of good data, how many can collect it and from multiples sources? This workshop will help data analytics, and data science professionals hone their skills in understanding how to collect, structure, profile, and validate the data, which is crucial to having an effective analysis program. This workshop will also help you visualise your data better, and help explain the results through successful statistical methods. 

If you think you know it all about data science, this workshop will give you a reality check and refresh your skill sets. 


  • Learn how to plan a data lifecycle project better
  • Get better results on analysis and reporting by learning to evaluate your data better
  • Express any business into a holistic database
  • Be exposed to the best practices of a data analysis project including critical factors such as costs, time, quality & integration

13.30 Lunch & End of Summit