Insights
The Critical Role of Data Governance in Responsible AI Implementation
Strong data governance is foundational for trustworthy AI, ensuring data quality, privacy and compliance within AI systems. Read on to learn more.
The Future of Data Ownership and Consent Management in the AI Age
Explore how the intersection of AI, personal data, and blockchain is shaping the future of data ownership and consent management in this insightful blog. Discover the rising value of personal data, the risks of unrestricted AI use, and the potential of blockchain to empower individuals to control and monetise their data. Learn about the urgent need for legislative frameworks to protect data rights, and how AI-generated content, like deep fakes, underscores the importance of transparency, consent, and ethical use. Dive into the steps necessary to build a fair and secure data economy that benefits individuals and respects privacy.
What is a Digital Twin and what capabilities do you need to build one for your business?
Discover how digital twins are revolutionising data-driven decision-making for enterprise organisations in this comprehensive blog. Learn how digital twins—virtual replicas of physical systems—enhance operational efficiency, optimise performance, and improve customer experiences across industries. Explore key capabilities needed to build effective digital twins, from data acquisition to continuous improvement, and uncover real-world examples from leading companies like Rolls-Royce and BP. This guide provides actionable insights for organizations looking to leverage digital twins for competitive advantage and growth in a fast-paced business environment.
AWS DataZone: Empowering Data Monetisation with AI-driven Governance
Discover how AWS DataZone is transforming data monetisation with AI-driven governance. This blog by Ben Saunders explores how AWS DataZone's innovative features—like the Business Data Catalogue, collaborative projects, and governed data sharing—empower organisations to unlock new revenue streams. Learn how AI and machine learning capabilities streamline data management, enhance data quality, and accelerate the journey from data to dollars.
Harnessing AI for Business Success: Tackling Data Quality with Data Mesh and Data Fabric Principles
Unlock the transformative potential of AI for your business by tackling data quality challenges head-on. In our latest blog, we delve into how data mesh and data fabric principles can enhance data governance, ensuring your AI models are built on reliable, high-quality data. Learn how building value-aligned data products and implementing automated testing frameworks can drive significant business value. Discover the importance of strong data culture, effective metadata management, and innovative techniques like Change Data Capture (CDC) in maintaining data integrity. Embrace the future of AI with robust data strategies that foster trust and drive sustainable growth. Read now to explore the critical steps for leveraging AI to its fullest potential.
Data Domains & AI Adoption: A Match Made in Heaven
Discover how data domains can enhance data quality and governance in your enterprise. Learn about defining domains, assigning ownership, and managing data effectively to support AI adoption and drive business success.
Monetising Your Data in the Age of AI
Discover strategies to monetise your data with AI and transform your data into valuable business assets.
What Data Quality Metrics Should Your Organisation Measure?
Explore the critical importance of data quality in business decision-making in this insightful blog. Learn how to measure and improve data quality with key metrics such as data-to-error ratio, empty values, transformation error rates, dark data volume, storage costs, and data time-to-value. Discover strategies for establishing a data quality baseline, enhancing data governance, and unlocking the potential of your data for better business outcomes.