As organisations grapple with exponentially growing data volumes and increasingly complex regulatory environments, data catalogues are becoming more a vital aspect of successful data management. At the same time, catalogues are growing in sophistication, going far beyond simple data discovery and lineage tracking. Developing a centralised inventory of your ever-growing data assets will allow your data to be better accessed, analysed and understood by the disparate users throughout your organisation. With considerable time and financial investment required, it is important to have the correct strategy to get your money’s worth. 

• Discover how AI and ML are enhancing data catalogue capabilities, including automated metadata generation and intelligent data classification.
• Enhance the self-service analysis of data in your organisation by implementing a data catalogue through improved data access and discovery.
• Understand the steps taken to mitigate common data management challenges through the implementation of a data catalogue. 
• Learn from a peer how investing in a data catalogue has generated real returns on investment, providing an opportunity to obtain a deeper budget.

Masood Alam

Chief Data Architect
The Scottish Government

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The trajectory of AI regulations within the UK is uncertain, and the development of AI Ethics across the world remains predictably unpredictable. Yet, some Data Leaders expect the need to establish an ethical framework will become legal requirements in the future along the lines of privacy statements. In this time of regulatory uncertainty, and a consumer market focused on making ethical decisions, getting ahead of legal requirements could provide companies with a key competitive advantage, ensuring that your current investments don’t get shut down in the future. Discover how leaders from across different industries are approaching the topic of AI ethics and starting to build frameworks and standards for their organisations.

• Identify the appropriate time in your data journey to establish AI Ethics for maximum impact.
• Assess the effectiveness of an AI Ethics board and the key players from across the company to get involved.
• Get insights into how AI ethics guidelines have been applied across industries and learning from their successes and failures.

Murat Soncul

Head of Privacy & Data Protection
Central Digital & Data Office

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Ingrid Severn

Head of Corporate Data & Compliance
Scottish Water

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Deepak Karunanidhi

Associate Director, Data Science
Novartis

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1. The Art of Labelling: Strategies for creating effective data labelling to support AI model training
2. Bridging the Gap: Aligning Data Infrastructure with AI Ambitions
3. AI-Driven Data Quality: Leveraging Machine Learning for Enhanced Data Governance
4. Strategies for Robust Security and Data Leak Prevention

As strict data privacy regulations are creating obstacles for the usage and processing of your data, organisations are adopting synthetic data approaches to unlock the value of data assets whilst maintaining ironclad compliance. Learn from real-world case studies how synthetic data is transforming ever-growing volumes of data from a liability into a lucrative asset. Synthetic data strategies have the potential to enable you to tap into new revenue streams whilst staying on the right side of the law.

• Practical steps to smoothly implement a synthetic data approach in your organisation without upheaving your current strategy.
• Learn about the legal and ethical considerations of data monetization and how synthetic data addresses these concerns.
• Explore innovative monetisation strategies made possible by synthetic data, from data marketplaces to AI model training.
• Explore real-world examples of companies that have successfully transformed their data into profit centres using synthetic data.

In the age of information overload, the true competitive edge lies not in data collection, but in data interpretation. Generative Business Intelligence empowers all employees, regardless of their technical background, to tap into the collective intelligence of your organisation, generating complex data analysis by giving a simple prompt in plain English. Discover how Gen BI is transforming business intelligence by democratising data analytics across all business functions, revolutionising business decision-making processes. 

• Learn best practices for implementing Gen BI tools across your organisation to create a smooth and effective transition.
• Insights into the potential ROI seen from implementing Gen BI tools across all business functions, leading to better trust from the board and bigger budgets.
• Drive a culture of integrated data analysis throughout your organisation by enhancing the experience of data interpretation through interactive and easy-to-use interfaces.

Jhung-Ha Kwon

Head of Global Commercial Data Enablement
Viatris

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