𝐇𝐨𝐰 𝐭𝐨 𝐨𝐯𝐞𝐫𝐜𝐨𝐦𝐞 𝐝𝐚𝐭𝐚 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 𝐰𝐢𝐭𝐡 𝐀𝐈 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧 Alex Hunt, Head of Data Analytics and Automation at Grant Thornton UK LLP, discusses the main challenges CDOs face with #AI adoption and how to tame them. He highlights issues such as #data readiness, ethical AI deployment, and managing the transformation journey: 🔹 𝐂𝐃𝐎𝐬 𝐭𝐚𝐤𝐞 𝐜𝐞𝐧𝐭𝐫𝐞 𝐬𝐭𝐚𝐠𝐞 CDOs are central AI adoption, driving data-driven decisions while ensuring ethics, security, and privacy. Hunt states, “the growing reliance on data-driven insights, rapid AI advancements, and focus on data ethics has created a dynamic landscape for CDOs.” 🔹 𝐀 𝐝𝐞𝐥𝐢𝐜𝐚𝐭𝐞 𝐛𝐚𝐥𝐚𝐧𝐜𝐞 𝐟𝐨𝐫 𝐀𝐈 𝐚𝐝𝐨𝐩𝐭𝐢𝐨𝐧 AI adoption requires #CDOs to balance the need for quick results with upholding ethical standards and data privacy. As #generativeAI and evolving technologies reshape data management, CDOs must ensure data readiness and alignment with business goals and key objectives: ◾ Connecting AI to tangible value ◾ Safeguarding ethics and privacy ◾ Promoting data literacy across the organisation ◾ Driving innovation through data-driven decision-making. 🔹 𝐇𝐨𝐰 𝐭𝐨 𝐡𝐚𝐯𝐞 𝐚 𝐬𝐦𝐨𝐨𝐭𝐡 𝐭𝐫𝐚𝐧𝐬𝐢𝐭𝐢𝐨𝐧 Data leaders must prioritise data quality and governance, fostering organisation-wide literacy to build a strong data culture. Aligning data initiatives with business goals ensures measurable outcomes and ROI, especially with tools like #genAI. “GenAI is a crucial tool to tackle new problems and foster innovation as industries transform in 2024,” said Hunt. Explore the full article to uncover all the key challenges discussed: https://lnkd.in/ejaMqPg4
