Why Attend

Why Attend

Global influencers shared powerful stories of how they confronted challenges – and learned from them

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Why Attend

What will you gain?

Global influencers shared powerful stories of how they confronted challenges – and learned from them

Transformative Power of AI in Data Strategies

How artificial intelligence is reshaping data collection, analysis, and decision making processes across enterprises.

The Rise of Data Democratization

Strategies for making data accessible and usable for employees, and how this fosters a data-driven culture and enhances collaboration.

Ensuring Data Quality

Best practices for maintaining high-quality data, and its impact on the effectiveness of AI and overall business desicion making.

Generative AI: from hype to impact

How to move beyond proof of concepts and drive real business value from Generative AI.

Shifting Data Strategy Directions

The emerging trend of a right-to-left approach in data strategies and its benefits for generating business value quickly.

Revamping Data Strategies

How to reassess and redesign data strategies to align with modern data needs and AI advancements.

Data-as-a-Service

Explore the benefits cost-effective solutions, that offer on-demand access to high-quality data and enable swift integration of new data sources.

Regulatory Comliance

How to address compliance issues as the complexity of data privacy laws, AI regulations, and ESG issues grow.

Why Attend?

  • Harness AI’s Transformative Power: Learn how AI can revolutionize your data strategy by unlocking insights from large datasets, automating operations, and enhancing resource allocation.
  • Embrace Data Democratization: Discover the benefits of making data accessible to everyone within your organization, not just data scientists.
  • Ensure High-Quality Data: Understand the critical importance of data quality in fueling reliable AI outputs and sound decision-making.
  • Adopt Flexible Data Strategies: Explore innovative approaches to data strategy that align data collection with business priorities, enabling faster value generation.
  • Leverage Edge Computing: Find out how edge computing can enhance efficiency by providing real-time data analysis closer to the source.
  • Explore Data-as-a-Service (DaaS): Learn about the cost-effective and flexible advantages of Data-as-a-Service, which offers on-demand access to high-quality data.
  • Develop Comprehensive Data Strategies: Understand the importance of revisiting and developing a comprehensive data strategy that includes governance, ownership, and desired outcomes.
  • Stay Ahead with Cutting-Edge Trends: Keep up with the latest trends and developments in data strategy to ensure your organization remains competitive.
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Knowledge Hub

Rethinking AI and Innovation: From Output-Driven to Process-Centric

Most of the hype related to GenAI in the industrial environment centers around applications and use cases. I call this output-driven. Users and internal sponsors find it easy to understand this approach because they can see the benefits and ROI of the solutions. There is a tool, clear CAPEX and OPEX, and an obvious result.

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How to Help Your Customers Through the Growing Pains of AI Adoption

Welcome to the wild world of AI adoption, where companies are caught in a whirlwind of buzzwords, shiny new toys, and the constant fear of missing out. Today, we’re looking at a peculiar plague sweeping across Western Europe’s businesses: pilotitis and its close cousin, acute proof of concept (POC) syndrome.

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The 7 Axes of Data Platform Selection in the Era of AI: A Primer

In the realm of data platform decision-making, organizations typically consider several dimensions when making their choices. These encompass aspects including functionality, performance, scalability, cost, flexibility, and alignment with specific use cases.

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