Data Leaders Summit

The Data Leaders Summit is a closed-room, invite-only event for senior decision-makers in charge of data management, analytics, automation and insight. This is an unmissable opportunity to get ahead of the latest trends, strategies and visions connecting the data ecosystem.

Share ideas with other experts, get inspired and identify the tools and technologies that will deliver smarter, faster, safer decisions for your organisation. With high quality connections and challenge based discussions tailored to your upcoming projects, delegates will achieve more in a day than they could in a month.

WHAT'S IN IT FOR YOU?

Network and collaborate with fellow influential members of the data community and join pre-qualified
 meetings with the handpicked solution providers that you want to meet.

STRATEGIC KEYNOTES FROM INDUSTRY TRAILBLAZERS

PEER TO PEER ROUND TABLES ON KEY CHALLENGES

PRE-SCHEDULED MEETINGS TO EVALUATE YOUR SYSTEMS

OPPORTUNITIES TO NETWORK AND CONNECT

Who's it for?

Chief Data Officers (CDO) // Chief Information Security Officer (CISO) // Head of Data Science // Data Scientists // Data Engineers
 AI/ML Leaders // Enterprise Architects // DevOps Leaders // Chief Privacy Officer (CPO) // Data Protection Officer (DPO) // Head of IT
Head of Architecture and Engineering // Senior Data Managers // Business Analysts


What our delegates say

Round table topics

Join our peer to peer round tables specially curated by the DTX team to encourage collaboration
with other leaders on some of the biggest, critical Data issues. Hover over the below topics


Data resources

How to position and build efficiently


Data privacy

Overcoming the challenges


BI centre of excellence

Implementtion and self-service culture


Modern data stacks

How to secure and control access


Data architecture

To enable your most critical workloads


Automation

Building the enterprise of the future


Data integration

Dealing with preparation complexities


ML & AI

Preparaing for advanced analytics


WHAT TO EXPECT ON THE DAY

Morning

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Registration & Networking Breakfast

Registration & Networking Breakfast

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Welcome Address
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Opening Keynote Panel

Keynote Panel: Fostering a culture of data-driven decision-making

• What is the optimal data team structure: roles and responsibilities?
• Correcting the misperception that ‘data is just for techies’
• How to educate and empower teams by articulating the relationship between data and business operations
• Staying ahead on data governance & impending changes in 2022

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Case Study

The journey from business intelligence to decision intelligence

• How to eliminate decision chaos with trusted data, analytics adoption, and data science
• Understanding the convergence of data science and business analytics
• How to build and implement a self-service culture at the coal face

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Round Tables, 121 Meetings and Networking

Think Tank Sessions (Choice of 4)

• How to position and optimise your data resources?
• Overcoming the challenges around data privacy, veracity and unavailability
• How to secure and control access in modern data stacks
• Implementing a BI centre of excellent and self service culture

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121 Meetings
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Panel Session: How to build a cloud native architecture for a modern, digital enterprise


• Defining the characteristics of a cloud-native digital enterprise
• Designing architectures to meet current and future requirements
• How to avoid a labyrinth of independent and inflexible data architectures?
• How to prepare for future workloads and applications

Afternoon

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Lunch
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Panel Discussion: Automation: The What, Where and How’s


• What are the quick wins and end goals with automating business processes?
• Where can you find the biggest wins – from finance to CX functions?
• How to navigate legacy systems and reduce operational obstacles
• How to scale and measure your automation programme

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121 Meetings
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Round Tables, 121 Meetings and Networking

Think Tank Sessions (Choice of 4)

• Data Architectures to enable your most critical workloads now and in the future
• Dealing with data integration and preparation complexities
• Automation: Building the enterprise of the future
• Preparing for advanced analytics, ML & AI: The do’s and don’ts

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Coffee & Refreshments
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Closing Keynote: Preparation for Machine Learning: The Critical Steps to Ensure AI Success


• Understanding the AI & Machine Learning Life Cycle
• How to prepare data and apply policy based business rules?
• How to enrich your data or apply feature engineering?
• How to avoid AI bias?
• Key measures to support AI actionability and accountability (AI Ops / ML Ops)

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Evening Reception & Networking Party