To effectively leverage data as a strategic asset, CDOs must ensure that the C-Suite has a deep understanding of the data and how it can inform business decisions. In this session, we will explore the strategies that data leaders must take to engage the C-Suite and improve decision-making through increased data understanding and accessibility, including:

• Managing C-Suite expectations through effective education and addressing concerns about data quality and accuracy
• Building strong relationships with C-Suite stakeholders by communicating the value of data in business terms
• Developing user-friendly data tools and dashboards to increase data visibility and accessibility
• Funnelling intelligence through the business to communicate effectively with the C-Suite

"- Adam Nagus, Experienced CDO, CDO Institute Event Chair (Moderator)
- Martin French, Chief Data Officer, Apex Group
- Sanjeevan Bala, Group Chief Data & AI Officer, ITV
- Ela Osterberger, VP Data, WeTransfer
- Miryem Salah, CDO & Head of Digital & Transformation, Vodafone"

Enterprises across all industries are seeking ways to improve their operations, increase efficiency, and deliver better customer experiences. One of the most promising technologies for achieving these goals is Generative Artificial Intelligence (AI).

In this keynote, we will explore the new age of digitalization and the role of Generative AI in driving enterprise innovation.

• The basics of Generative AI and its potential for enterprise transformation
• Real-world examples of how enterprises are using Generative AI to innovate and drive growth
• How to assess your enterprise's readiness for Generative AI adoption
• Key considerations for implementing Generative AI solutions in your enterprise
• Best practices for managing the human-machine interface in Generative AI applications

Detlef Nauck, Head of AI & Data Science Research, BT

Today’s advanced technologies, such as Cloud and AI, enable CIOs and CDOs to dramatically impact their contribution to the business. To capitalize on this modernization opportunity, it requires vision, commitment, and investment.

Traditional CIOs invest 80% of their budget on “keeping the lights on” and 20% on “innovation.”  Today’s world-class CIO’s have found ways to shift the balance to 50% and 50% leveraging the agility of the cloud and amazing power of AI.

Join our roundtable discussion to discuss your path to modernization, shift resources to innovation, and calibrate your perspective with your peers.

Dani Golan, CEO, Silk

Join us for an insightful 40-minute keynote session that delves into the current state of data and its pivotal role in supporting business growth. Over the years, industries have grappled with the dual challenge of meeting escalating regulatory requirements, hiring and retaining the right talent, adopting new technologies whilst driving growth. This demands a strategic approach to maximise the power of available data and that data that might be undiscovered.

The recently released State of Data and Analytics 2023 report, which surveyed top-tier data executives across sectors, unveiled remarkable findings. Just one of those finding which everyone may relate to: 92% of data leaders were either optimistic or very optimistic about the value generated from their data and analytics projects. Yet, there exists a considerable gap between this positive outlook and the actual implementation of formal data strategies required to unlock this untapped potential.

Join Joseph George, CEO at Dufrain and DataIQ top 100 leader, and gain his insights from Dufrains state of data report, insights from the work Dufrain are undertaking across the data landscape and what you can do to maximise your own state of data.

Joseph George, CEO, Dufrain

Connecting data sources seamlessly is essential for enterprises seeking to accelerate their time to insight, protect customer data, and deliver effective data governance. CDOs must leverage the right strategies and technologies to seamlessly move and integrate data into a centralised architecture. In this session, we will explore the steps data leaders must take to achieve seamless integration, including:

• Using automated, reliable, and scalable data movement platforms to accelerate your insights
• Integrating data into a cloud-based architecture like a data lake or data warehouse
• Ensuring data quality and consistency through governance processes
• Aligning data integration with business objectives and KPIs

With the ever-increasing amount of data being generated and collected, ensuring data quality, security, and compliance has become more challenging than ever before. That's where data governance plays a critical role in optimising data-driven decisions.

This boardroom will examine how embracing a single context of data is crucial in setting the groundwork for innovation. Providing everyone access to the same data, understanding its context to better collaborate, share insights, and drive innovation.

• Examining strategies for effective data governance, including data quality, security, compliance, and privacy
• Defining data policies, assigning ownership and responsibility, and establishing processes for monitoring and reporting
• Mapping a journey to a "single context of data" to make data accessible for the whole enterprise
• Optimising data-driven decisions and supporting business goals through effective governance
• Engaging all stakeholders in your data governance strategy to effectively mitigate compliance challenges

Muhammad Saleem, Head of Data Architecture, BAE Systems Digital Intelligence

Increasingly senior executives are pushing new machine learning initiatives to drive business value, leaving Chief Data Officers responsible for finding new ways to accelerate its adoption across the entire lifecycle, from data preparation to model deployment. This session will explore key strategies that CDOs must take to build a framework that enables them to develop, test, and deploy machine learning models at scale.

• Preparing and cleaning data e using data cleaning and transformation tools to pre-process raw data
• Creating a structured data pipeline that can handle large volumes of data.
• Develop and test machine learning models, focusing on accuracy, performance, and scalability
• Deploying and scaling machine learning models effectively, using containerization and orchestration technologies
• Implementing a Continuous Integration and Deployment (CI/CD) pipeline for machine learning models, allowing for automated testing, deployment, and monitoring
• Considering ethical considerations including bias, fairness, and transparency to ensure that models are ethical and unbiased.

Richard Davis, Chief Data Officer, Ofcom

Weak insights, bad investments, data breaches, privacy concerns, and unethical practices have all eroded trust in data strategies. Many data leaders are working to regain and rebuild this trust with a data strategy review. Focussing on collecting the right data and making it accessible to uplevel data literacy.
This session aims to provide practical insights and strategies to regain trust in your data strategy.

- Focussing on a foundation built with core pillars surrounding governance, transparency, and accountability
- Implementing robust data governance frameworks and enhancing data transparency and communication
- Establish mechanisms for monitoring and enforcing data compliance
- Fostering ethical data practices and responsible decision-making
- Data Storytelling and the power of partnering with communications to effectively distribute data-driven insights in a meaningful way

Ela Osterberger, VP Data, WeTransfer

As AI becomes more prevalent in business operations, it is essential for us to address the ethical implications of these technologies. Ensuring that AI systems are free from bias and are designed to operate within ethical guidelines is crucial for building trust with customers, employees, and stakeholders. Key Strategies:

• Defining Ethical Guidelines for AI systems that align with the organization's values and priorities
• Ethically Aligned Design to guide ethical decision-making.
• Identify potential biases in AI systems and take steps to mitigate them
• Ensuring transparency in AI systems, allowing stakeholders to understand how decisions are made and providing explanations for decisions where necessary
• Monitor and evaluate AI systems on an ongoing basis to ensure they are operating within ethical guidelines and are free from bias
• Establish governance structures for AI systems, including policies, procedures, and oversight mechanisms.

- Nick Creagh, Chief Data Officer, University of East London (Moderator)
- Detlef Nauck, Head of AI & Data Science Research, BT
- Joseph Lu, Director - Longevity Science, Legal & General
- Helen Louwrens, Director of Data & Insight, Care Quality Commission
- Joanne Biggadike, Deputy Head of Data, DUAL Group

Data is the primary asset for organisations driving innovation. Converting data into actionable insights is a team effort and all employees must play a role to advance organisational objectives. Data and analytics leaders are tasked with creating a data literacy programme that streamlines and propels enterprise agility.

Join this roundtable discussion to discover how to:

- Identify skill gaps that prevent organisations from achieving critical business objectives and maximising technology investments
- Design scalable training programs that build organisation-wide data literacy and a data-driven culture through applied learning, without impacting your cost centre
- Increase team engagement and retention, alongside attracting a diverse talent pool that allows your organisation to better represent and serve your customers

Multiverse

In this session, we will explore the art of communicating the value of AI and data analytics projects to leadership particularly when it comes to demonstrating return on investment and quantifying the benefits to the organization. Examining the key elements of a successful communication strategy, understanding your audience, framing your message, and using data to support your claims.

• Developing a clear business case using data-driven metrics to measure success, and leveraging effective storytelling technique
• Identifying easy wins from your use cases to demonstrate a quick ROI
• Linking the value of your projects to drive strategic business outcomes to achieve buy-in
• Exploring the latest trends and technologies in AI and data analytics, and how to stay ahead of the curve

Roger Pearson, Director - Global Data & Analytics, Smith & Nephew

CDOs play a pivotal role in harnessing the potential of artificial intelligence to drive organizational growth and innovation. However, a key challenge lies in ensuring that AI technologies are not only effective but also ethically sound and people-centred.

This session explores the concept of People-Centred AI and equipping you with the knowledge and tools necessary to navigate this emerging paradigm successfully.

• Understanding the principles and importance of People-Centred AI in data strategies.
• Discovering practical approaches for integrating ethics, transparency, and accountability into AI initiatives
• Exploring strategies to promote AI literacy and engage stakeholders across the organisation
• Identify key considerations for developing responsible AI frameworks and policies

Nick Creagh, Chief Data Officer, University of East London

Join us for this exclusive fireside chat with Richard Davis, Chief Data Officer at Ofcom, as he shares exclusive insights into their journey to transform the culture across the regulating body. With so much data being regularly ingested, how can Richard and his team ensure they are aggregating the data effectively, and reporting it back through the business in a way that adds demonstrable value. Taking Ofcom on a journey to further upskill it's talent to increase their understanding of data and to move towards a self-service approach that champions innovation and augments decision-making. Richard will share how Ofcom is embracing emerging technologies such as NLP, Predictive Analytics and Machine Learning to continually provide a better service to all stakeholders, both internally and externally, in a rapidly shifting regulatory environment.

• Promoting Data Literacy to give employees the necessary skills to interpret data and make informed decisions at all levels of the organization
• Providing managers with the tools to upskill their talent and identify data challenges internally
• Building a training program for employees to move your workforce towards a self-service data platform
• How can you ensure leadership buy-in to your cultural transformation and realistically set expectations to manage and overcome resistance to change
• Ensuring data is aggregated accurately, and is complete and up-to-data to deliver consistent data quality to deliver reliable insights
• Building trust in data with established data governance processes and procedures

Richard Davis, Chief Data Officer, Ofcom