DataIQ

🎉 Welcome to our new DataIQ Members! We're thrilled to announce that Stefania Gvillo's team at Domino's and Abhishek K.'s team at Barclays UK have joined our trusted global community of data leaders. View the organisations that are already #DataIQMembers: https://lnkd.in/eht4Ub4i Are you a #CDO looking to unlock your team's full potential? DataIQ membership connects you to a global network of CDOs, #CAOs and other #data and #AI leaders, equipping you and your team with the essential connections, knowledge and expertise to make better decisions and build better businesses. Get in touch and see if you qualify for membership: https://lnkd.in/epVwfJMQ

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

𝟐𝟎𝟐𝟓 𝐃𝐚𝐭𝐚 & 𝐀𝐈 𝐀𝐰𝐚𝐫𝐝𝐬: 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐒𝐭𝐫𝐞𝐚𝐦 The Innovation stream harnesses creative uses of data and #technology to drive new processes, services, and performance. From using #data to solve business challenges to the impactful applications of #AI. View the categories below: 🏆 AI-enabling Solution of the Year ▪️ View the 2024 winner: Blend - https://lnkd.in/dQW_9TRF 🏆 Best Responsible AI Program or Initiative ▪️ View the 2024 winner: Scotiabank - https://lnkd.in/dGehEA-Y 🏆 Most Innovative Use of AI ▪️ View the 2024 client-side winner: Scotiabank - https://lnkd.in/d6jX3ci8 ▪️ View the 2024 vendor-side winner: CoreLogic - https://lnkd.in/dwhTByze 🏆 Transformation with Data and AI ▪️ View the 2024 client-side winner: Ally - https://lnkd.in/d8t6fFd9 ▪️ View the 2024 vendor-side winner: EY - https://lnkd.in/dcdQRQU5 ➡️ Submit your entry today and showcase how your organization is driving innovation with data and AI: https://lnkd.in/eRiBs2bG

𝐔𝐧𝐥𝐨𝐜𝐤𝐢𝐧𝐠 𝐀𝐜𝐭𝐢𝐨𝐧𝐚𝐛𝐥𝐞 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐟𝐨𝐫 𝐇𝐞𝐚𝐥𝐭𝐡𝐢𝐞𝐫 𝐂𝐡𝐨𝐢𝐜𝐞𝐬 𝐚𝐭 𝐒𝐚𝐢𝐧𝐬𝐛𝐮𝐫𝐲'𝐬 Data can help the public become healthier when applied correctly with personalisation, and Sainsbury’s is a prime example of making that a reality. Alex Jardine, Director of Analytics, Sainsbury's, spoke to attendees of the 2024 DataIQ 100 Summit to explain how Sainsbury’s leverages its extensive data from its Nectar Loyalty programme to personalise offers, driving customer engagement and loyalty. Sainsbury’s has a huge pool of data to work with – more than 18 million digitally registered customers – so the scale of the personalisation programme was formidable. Here's a glimpse into their incredible approach: 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥𝐢s𝐞𝐝 𝐇𝐞𝐚𝐥𝐭𝐡 𝐑𝐞𝐜𝐨𝐦𝐦𝐞𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬: By analysing past purchases and dietary preferences, Sainsbury's suggests healthier alternatives, promoting well-being without compromising convenience. 𝐆𝐚𝐦𝐢𝐟𝐢𝐞𝐝 𝐂𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞𝐬 & 𝐑𝐞𝐰𝐚𝐫𝐝𝐬: Fun and engaging initiatives like "fruit and vegetable challenges" incentivise customers to make healthier choices, leading to a 200% improvement in product health scores! 𝐒𝐞𝐚𝐦𝐥𝐞𝐬𝐬 𝐂𝐮𝐬𝐭𝐨𝐦𝐞𝐫 𝐉𝐨𝐮𝐫𝐧𝐞𝐲: Whether online or in-store, personalised recommendations guide customers towards better, balanced choices. The results speak for themselves - a 130 million increase in fruit and vegetable sales and a win-win situation for both customer health and business growth. Head over to the full article (link in comments!) to learn more about Sainsbury's industry-leading approach.

𝟮𝟬𝟮𝟱 𝗗𝗮𝘁𝗮 & 𝗔𝗜 𝗔𝘄𝗮𝗿𝗱𝘀: 𝗗𝗮𝘁𝗮 𝗮𝗻𝗱 𝗔𝗜 𝗳𝗼𝗿 𝗚𝗼𝗼𝗱 𝗦𝘁𝗿𝗲𝗮𝗺 The Data and AI for Good Stream highlights how #data and #AI are driving positive change in health, wellbeing, #ESG, and not-for-profit sectors. It recognizes teams using data to support personal and business goals, tackle global challenges, as well as outreach programs to increase understanding of our sector. View the categories below: 🏆 Environmental, Social, and Governance (ESG) Data and AI Award ▪️ View the 2024 winner: Schneider Electric - https://lnkd.in/egTCA6GM 🏆 Data and AI For Good Hero Organisation Award ▪️ View the 2024 winner for Best Use of AI for Not-For-Profit or Non-Commercial Purposes: Destination Canada - https://lnkd.in/ewzKTxk2 🏆 Data and AI for Good Champion ▪️ View the 2024 winner: Dr. Seth Dobrin, Qantm AI, LLC. - https://lnkd.in/e-kV-8qX 🏆 Best Use of AI for Healthcare Award ▪️ View the 2024 winner: Carelon - https://lnkd.in/e_KJT7Ea If you or your organization are making a positive difference through the power of data, submit your free entry here: https://lnkd.in/eRiBs2bG

𝗧𝗵𝗲 𝗽𝗮𝘁𝗵 𝘁𝗼 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘃𝗮𝗹𝘂𝗲 𝘄𝗶𝘁𝗵 𝗔𝗜𝗢𝗽𝘀 💡 AIOps is crucial for overcoming challenges in AI deployment and scaling. Data Reply UK emphasised this at the 2024 #DataIQ100 Summit. While many decision-makers are excited by the potential of #ML, #AI, and #generativeAI to revolutionise industries, they often overlook the complexities of implementation. Data Reply explained how #AIOps ensures smooth adoption, unlocking production success and actionable value. 𝙎𝙘𝙖𝙡𝙞𝙣𝙜 𝘼𝙄 𝙖𝙣𝙙 𝙞𝙩𝙨 𝙤𝙗𝙨𝙩𝙖𝙘𝙡𝙚𝙨  DataIQ members face challenges integrating #data into AI models, often due to quality issues or lack of business interest. Ian Spatz, Partner at Data Reply, emphasised that "the promise of genAI for business will be realised when companies trust that they can use internal data safely with the power of Large Language Models." 𝘼𝙄𝙊𝙥𝙨 𝙗𝙚𝙨𝙩 𝙥𝙧𝙖𝙘𝙩𝙞𝙘𝙚𝙨 AIOps helps businesses identify and resolve infrastructure issues, streamline workflows, and implement scalable solutions. By integrating AIOps, organisations can eliminate bottlenecks, improve efficiency, and future-proof their operations, allowing data leaders to deliver value quickly and effectively meet scaling demands. 👉 Read the full article here: https://lnkd.in/e9rcd8Qb

💡 𝗪𝗶𝗻𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝘀𝘁𝗿𝗼𝗻𝗴 𝗱𝗮𝘁𝗮 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗶𝗻 𝟮𝟬𝟮𝟱 Efficiency is crucial for data, and no business function can achieve it without the #data office leading the way. Data's core purpose is to drive efficiencies across departments, making it essential for the data office to operate at its highest level of efficiency. 𝗗𝗮𝘁𝗮 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 𝗯𝗮𝘀𝗲 𝗹𝗲𝘃𝗲𝗹 Data efficiency optimises processes like storage, access, and sharing to make data accessible, manageable, and cost-effective. Data leaders should assess efficiency across the business to establish a baseline. Improved data efficiency leads to:  ➡️ Higher quality analytics  ➡️ Improved productivity  ➡️ Reduced costs 𝗡𝗼𝘁 𝗷𝘂𝘀𝘁 𝘁𝗼𝗼𝗹𝘀, 𝗯𝘂𝘁 𝗽𝗲𝗼𝗽𝗹𝗲 𝘁𝗼𝗼 Tools alone don’t solve problems; trained people do. Data leaders must build data literacy by addressing gaps and ensuring teams are equipped to handle and protect data. As businesses grow, supporting new talent to meet evolving data standards is crucial. 𝗢𝗿𝗴𝗮𝗻𝗶𝘀𝗮𝘁𝗶𝗼𝗻 𝗳𝗼𝗿 𝗹𝗮𝗿𝗴𝗲 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀𝗲𝘀 Effective data categorisation is crucial, particularly for large or legacy businesses. Accurate labeling reduces duplication, saves costs, and ensures quick access. 𝗔𝗰𝗰𝘂𝗿𝗮𝘁𝗲 𝗮𝗰𝗰𝗲𝘀𝘀 𝗲𝗾𝘂𝗮𝗹𝘀 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝗰𝘆 Unleveraged data often results from inefficient storage. Introducing a "hot and cold" storage model—where high-performance solutions are used for frequently accessed data and lower-cost options for infrequent data. This approach reduces waste, and supports a stronger data culture. 👉 Read the full article to learn how to discover effective strategies for improving data efficiency. https://lnkd.in/dWV5D2n9

𝟮𝟬𝟮𝟱 𝗗𝗮𝘁𝗮 & 𝗔𝗜 𝗔𝘄𝗮𝗿𝗱𝘀: 𝗣𝗲𝗼𝗽𝗹𝗲 𝗮𝗻𝗱 𝗖𝘂𝗹𝘁𝘂𝗿𝗲 𝗦𝘁𝗿𝗲𝗮𝗺 The People and Culture stream celebrates the leadership and talent driving data-driven organizations. It recognizes individuals and teams who foster inclusive, thriving cultures and highlights projects that transform company culture and promote diversity, equity, and inclusion. View the categories below: 🏆 𝗕𝗲𝘀𝘁 𝗣𝗹𝗮𝗰𝗲 𝘁𝗼 𝗪𝗼𝗿𝗸 𝗶𝗻 𝗗𝗮𝘁𝗮 & 𝗔𝗜 - 𝗖𝗹𝗶𝗲𝗻𝘁 𝗦𝗶𝗱𝗲 ▪️ View the 2024 winner: Mars Wrigley - https://lnkd.in/ecJ5-gBg 🏆 𝗕𝗲𝘀𝘁 𝗣𝗹𝗮𝗰𝗲 𝘁𝗼 𝗪𝗼𝗿𝗸 𝗶𝗻 𝗗𝗮𝘁𝗮 & 𝗔𝗜 - 𝗩𝗲𝗻𝗱𝗼𝗿 𝗦𝗶𝗱𝗲 ▪️ View the 2024 winner: Blend - https://lnkd.in/eRp6xsRn 🏆 𝗕𝗲𝘀𝘁 𝗗𝗮𝘁𝗮 & 𝗔𝗜 𝗧𝗲𝗮𝗺 ▪️ View the 2024 winner: Department of the Air Force Chief Data and AI Office, AI Division - https://lnkd.in/epGwyjuz 🏆 𝗗𝗮𝘁𝗮 & 𝗔𝗜 𝗟𝗲𝗮𝗱𝗲𝗿 𝗼𝗳 𝘁𝗵𝗲 𝗬𝗲𝗮𝗿 ▪️ View the 2024 winner: Venkat Gopalan, Belcorp - https://lnkd.in/eUrsBp9t Want to earn the same recognition? If your organization is building a thriving data culture and championing diversity and inclusion, submit your entry here: https://lnkd.in/eRiBs2bG 🔜 Stay tuned for our 'How to Enter guide', coming soon, packed with valuable tips and insights to help you enter!

𝗛𝗼𝘄 𝘁𝗼 𝘄𝗶𝗻 𝗮𝗱𝗼𝗽𝘁𝗶𝗼𝗻 𝗼𝗳 𝘆𝗼𝘂𝗿 𝗱𝗮𝘁𝗮 At the #DataIQ100 Summit London earlier this month, Kate Jones, Head of Data Product and Strategy, Coventry Building Society and Robbie Priddle, Head of Data Enablement, Specsavers, sat down with David Reed to speak about how they have succeeded in getting their data adopted by their respective organisations.  Key takeaways include: 🔹 Understand and address organisational needs: Enabling data literacy requires creating data ecosystems tailored to business needs, ensuring accessibility, and addressing cultural challenges 🔹 Adopt a people-centric approach: People are often the biggest challenge in data adoption. Understanding and segmenting personas within the organisation, such as data sceptics or data wizards, helps design targeted learning journeys. 🔹 Communicate impact and benefits: Sharing success stories and presenting real-life examples, such as using data products to replace manual processes, helps reinforce the value of data adoption. Winning data adoption is a multi-faceted effort requiring collaboration, trust, personalisation, and a clear demonstration of value. Learn more: https://lnkd.in/etnmYHTk

TfL – Making data matter when every journey matters   At the 2024 DataIQ 100 Summit, Lauren Sager Weinstein, Chief Data Officer, Transport for London shared how #data kept operations on track during defining moments for the city, including the Olympics and the pandemic. From its humble beginnings and early adoption of data, TfL's data has evolved into a strategic asset, driving advancements in transportation and ensuring timely services across London.   Over the past 15 years, TfL’s data team has learned key lessons that can apply to other organisations: 🔹 Data-driven culture: Empowering employees to use data in decision-making and fostering experimentation has been crucial to TfL’s success. 🔹 Ethics: Transparency, privacy, and fairness must guide data initiatives, especially when they affect millions. 🔹 Public trust: Proactive communication and ethical data practices are key to building and maintaining trust. 🔹 Collaboration: Working with stakeholders, including passengers and government, amplifies data-driven initiatives. 🔹 Continuous learning: Early adoption of data processes and a mindset that embraces constant evolution ensure long-term success. By leveraging data as a strategic asset, TfL will shape the future of transportation and aim to inspire other organisations in their data transformation journeys.   ➡️ Learn more about TfL's data-driven approach here: https://lnkd.in/eq4nJzpE