Insights
Is It Time for Radical Change? - The Case for a Fresh Start in Digital Transformation
Why should we rethink current digital strategies? Because legacy approaches no longer deliver… Read on to find out how to reboot.
Securing the Generative AI Software Supply Chain
Sharing the security risks in the generative AI software pipeline and how organisations must embed security at every stage, from model development to deployment.
Building a Pragmatic AI Governance Framework: Lessons from the Trenches
Discover practical steps to building effective AI governance, including balancing innovation with risk, compliance and accountability.
Key Safety Features for Creating AI-Enabled Products with Amazon Bedrock
Explore Amazon Bedrock's essential safety features for responsible AI deployment. Learn how guardrails like content filters, denied topics, and contextual grounding checks mitigate risks in AI-enabled products. Discover how these features prevent incidents like chatbot jailbreaking and misinformation, ensuring compliance and protecting brand reputation. Ideal for technology decision-makers seeking to innovate with AI while prioritising safety and ethics in an era of increasing AI capabilities and public scrutiny.
Building a Robust Business Case for AI & Data Initiatives: Calibration and Risk Management
Unlock the potential of AI with our comprehensive guide to building robust AI business cases. Learn essential strategies for AI value measurement, risk management, and ROI calculation. Discover how to align your AI strategy with business goals, estimate costs and benefits accurately, and avoid common pitfalls in AI project planning. Perfect for executives and decision-makers, this blog offers practical frameworks for creating compelling AI business cases, emphasising realistic projections and effective risk mitigation. From productivity gains to data monetisation, master the art of quantifying AI's business impact. Elevate your AI strategy and secure stakeholder buy-in with our expert insights. Don't miss this essential read for anyone looking to justify and maximise AI investments in today's competitive landscape.
Aligning AI & Data Initiatives with Business Value: A Framework for Success
Unlock the full potential of AI and data in your business with our comprehensive framework for success. Learn how to align AI initiatives with tangible business value, from identifying high-impact areas to developing cross-cutting capabilities. Discover strategies for categorising use cases, mapping AI to KPIs, and creating a value-driven roadmap. Perfect for CIOs, CTOs, and business leaders seeking to maximise ROI on AI investments. Gain insights on quantifying AI value, prioritising initiatives, and gaining stakeholder buy-in. Transform your organisation with AI - read our expert guide now.
Crafting a Comprehensive AI & Data Strategy: Essential Components for Success
Unlock the power of AI and data with a comprehensive strategy. Learn the 7 essential components for crafting an effective AI and data strategy that drives business success. From defining your 'why' to implementing continuous improvement, this guide provides actionable insights for leveraging AI to achieve your business goals. Discover how to align your AI initiatives with strategic objectives, build robust data infrastructure, and navigate ethical considerations. Whether you're a CIO, CTO, or business leader, this blog post will help you chart a course for AI-driven transformation in your organisation.
The AI Paradox: Balancing Hype, Revenue, and Real-World Implementation
Explore the AI paradox: balancing hype, revenue, and real-world implementation. Discover why tech giants struggle with AI ROI and learn about key challenges hindering AI adoption. Uncover strategies for successful AI integration, including process redesign and data strategy. Gain insights on bridging the gap between AI's potential and profitable implementation in this comprehensive analysis of the AI revolution.
The IP Dilemma in the Age of AI: Protecting Creators While Advancing Technology
In this blog, Ben Saunders explores the IP dilemma in the age of AI, focusing on the tension between content creators and AI companies over the use of intellectual property in training AI models. It discusses the challenges of balancing innovation with creators' rights, proposed solutions like digital watermarks and licensing, and the potential of data ownership and consent management as a path forward for fair compensation and ethical AI development.
AI-Powered Software Development: Reimagining Innovation in the Enterprise and Beyond
Explore how AI-powered software development is revolutionising innovation in this insightful blog. Discover how AI is democratising software creation, lowering barriers to entry, and enabling rapid prototyping, which accelerates the innovation cycle. Learn how enterprises can leverage AI to foster agile transformation, cross-functional collaboration, and continuous innovation. The blog also delves into the broader economic impact, including the rise of citizen developers, new business models, and global economic equalisation. Uncover the challenges and considerations as AI reshapes the software development landscape and the future of entrepreneurship.
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.
Generative AI - With Great Power, Comes Even Greater Responsibility
Explore the essential steps for governing generative AI in this blog by Ben Saunders. As generative AI becomes a powerful tool for innovation, it's crucial to establish robust guardrails and controls to prevent unintended consequences. Learn about the potential risks of unrestricted AI use, including ethical and legal implications, and discover how to implement technical controls and governance frameworks to ensure responsible AI deployment. Stay ahead in the digital age by adopting effective governance strategies that balance innovation with accountability.
AI Ethics & MLOps - Go Fast, Without Breaking Transparency
Explore how MLOps can ensure AI ethics and transparency in your organisation in "AI Ethics & MLOps - Go Fast, Without Breaking Transparency." This blog by Ben Saunders delves into the importance of integrating ethical considerations and governance into the machine learning lifecycle. Learn how MLOps frameworks can help build, deploy, and manage AI models that are reliable, transparent, and compliant with legal standards, fostering trust among customers and regulators while accelerating AI adoption.
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.