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      "text": "As organisations embark on their AI transformation journeys, tech execs are at the forefront of navigating this complex and evolving landscape.",
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      "text": "01 Delivering value from AI: By aligning AI initiatives with overall business strategy, setting expectations for ROI, and allocating budget to AI transformation.\n02 Unlocking AI capability: By upskilling teams to work with AI, setting up organisational governance structures, and identifying capabilities required across the business.\n03 Building trust in AI: By identifying and addressing risks associated with AI, ensuring data quality and integrity, managing shadow AI and securing sensitive data used in AI.\n04 Scaling AI with confidence: By deciding whether to build or buy AI capabilities, identifying suitable partners and vendors, and focusing on interoperability with existing IT infrastructure.\n05 Architecting AI transformation: By engaging with the business and its various leaders to plan AI rollouts by value stream, function, or product, establishing an adoption roadmap, and integrating AI into existing business, digital, and tech strategies.",
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      "text": "Generative AI is introducing a brand-new risk vector to the tech domain, such as ‘hallucinations’, ‘jailbreaks’ and ‘adversarial prompting’ that can manipulate AI. The unexpected consequences of generated content have appeared seemingly frequently in the news this year. In light of this, when scaling emerging tech, organisations will need to have the governance and processes in place to control emerging risks. Survey respondents highlight the importance of continually developing AI governance policies for ethical and fair use in line with the evolving regulatory landscape. The process of establishing trusted guardrails and controls requires a multi-lens end-to-end secure approach to designing, building and deployment that incorporates coding best practice, code reviews, staff training and red teaming exercises that test the performance and reliability of AI models.\n\nThe ongoing AI hype may tempt organisations to make hurried decisions. However, successful AI adoption requires an enterprise-wide multidisciplinary effort and a clear alignment across the enterprise, and a shared understanding of AI’s role and its potential.\n\norganisations that can clearly define and communicate the value of AI to all stakeholders within the context of their business objectives, and execute through thoughtful collaboration, will have a greater chance of maximising its impact across the enterprise.",
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      "text": "As organisations embark on their AI transformation journeys, tech execs are at the forefront of navigating this complex and evolving landscape. In order to go beyond the hype and harness the potential of AI while balancing speed, risk, and value, they should focus on five key areas:",
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      "text": "Scaling AI with confidence",
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