CDO UK Virtual Webinar | July 2024

Overview

In today's data-driven landscape, organisations face the dual challenge of managing vast amounts of data while extracting actionable insights to gain a competitive advantage. The webinar offers a sophisticated exploration of data intelligence strategies tailored to meet the demands of the contemporary market. With a focus on cutting-edge techniques and best practices, this event brings together industry leaders, data scientists, and decision-makers to dissect the intricacies of data optimisation and its pivotal role in driving organisational success. From advanced analytics and AI-driven algorithms to ethical considerations and regulatory compliance, participants will gain invaluable insights to navigate the complexities of the data ecosystem and unlock untapped opportunities for innovation and growth.

Takeaways:

Highlighting the importance of collaborative data environments in fostering cross-departmental innovation.

Demonstrating the impact of real-time data analytics on dynamic business decision-making.

Encouraging a culture of innovation through data-driven strategies and leadership involvement.

What to expect

• Attendees 100+
• Sessions
• eBooks 5+
• Virtual Meetings 1:1

What we will cover

• Explore effective approaches for leveraging data to drive business success.
• Discuss the importance of ethical considerations in data optimisation.
• Examine key regulatory requirements for data management.
• Explore how data optimisation fosters innovation and competitive advantage.

Agenda

• 9:00 am Generative AI: Advanced Analytics for all(UK Virtual) Generative AI is a game-changer for democratising data analysis. It empowers non-experts to glean valuable insights, boosting our ability to extract value from the organisation's data. This can revolutionise how we approach everything from customer segmentation to resource allocation, with generative AI acting as a powerful tool to drive data-driven decision-making across the entire organisation.
• 9:20 am The Next Best Model for Data Projects(UK Virtual) In this session Ari will explore a more project management based solution to data projects. He will consider the role of prioritisation in a variety of project types and how various industries would benefit from stepping away from solely AI based projections and using a stepped management style to tackle their data questions. If we know the right questions to ask, we can deliver better results - so does the customer know what they want and how can our teams ensure that we have communicated effectively enough to deliver that? Discussion points: What do we do when the AI fails to give us the context we need for a project to succeed? How can project management approaches help structure our data analysis for greater results? How can we put the customer at the centre of our analysis to ensure our projects deliver tangible results?
• 9:40 am Future-Proofing Workforce: Apprenticeships at the Nexus of Tech and Data Literacy(UK Virtual) This session explores how innovative apprenticeship programs are pivotal in preparing for the future of work. It will discuss the strategic role of apprenticeships in bridging the tech and skills gap, with a focus on developing data literacy and technical competencies to meet evolving industry demands and drive business innovation. Preparing for the Future of Work: Crafting apprenticeship programs that anticipate and adapt to future tech trends and workforce needs. Bridging the Tech and Skills Gap: Aligning apprenticeship curricula with the necessary data and tech skills to fill current and upcoming industry voids. Cultivating Data Literacy: How apprenticeships are key to developing a data-savvy workforce, enhancing decision-making and fostering a culture of continuous learning and innovation.
• 10:00 am Leveraging the Value of your Data(UK Virtual) How do we create data decision transparency for our colleagues ? Allowing them to make ethical and informed business decisions without worrying about where the data came from or the quality of it? How do we get our colleagues to implicitly trust the information they consume on a daily basis? Robin Miller takes us on his incredible data journey where he shares how he has forged a strong data foundation of Data Governance, Quality and Metadata through people, culture and process and then underpinned the capabilities through modern data governance and master data technologies. The next crucial phase of the Data Strategy is about how one can leverage the value and implement the teams, processes and enabling technology for the future analytics journey. Opening up the data marketplace and making it available to colleagues. Discussion topics: How to bring teams together in a more pragmatic and realistic way. Agile approaches to delivering data. Building new data pipelines and moving towards data as a product. Where expectations meet the reality of the journey.

Speakers

• Freddie Tomlinson · Head of Business Value, Multiverse
• Tom Christian · Principal Sales Engineer, Snowflake
• Ari Cohen · Chief Data Officer | Group, Investec
• Robin Miller · Group Data Manager, Lowell

Partners

• Multiverse
• Snowflake Snowflake delivers the Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the Data Cloud.

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