In today's rapidly evolving digital landscape, companies must adapt their approach to Data Governance to remain competitive. With the proliferation of data and the increasing reliance on advanced technologies like AI and machine learning, to remain effective Data Governance needs to evolve and adapt.

Join Nicola as she shares key learnings for her Data Governance journey and how we have to adapt our approach to Data Governance to work with the evolving environment we operate in.

In a rapidly evolving landscape, the ability to pivot, reskill, and transition is not just advantageous—it's essential. 

This panel discussion, hosted by Uma Parekh - Senior Associate at Kubrick, will delve into the transformative power of career redirection and skills transference in the era of data-driven innovation. Uma, who transitioned from a successful career at a 'Big 4' consultancy to lead teams building next-generation technology, brings first-hand advice through telling her story. 

Joining Uma are representatives from Esure and the Metropolitan Police, organisations at the forefront of integrating data-centric strategies within their industries. 

Together, they will explore how organisations can effectively harness the potential of reskilling their existing workforce, the challenges for professionals transitioning into new domains, and the critical role that transferable skills and diverse experience play in driving innovation. 

This discussion will provide valuable insights for individuals and businesses alike, aiming to stay competitive and innovative as we move further into the world of AI. 

Artificial Intelligence has transitioned from a niche concept to a widespread force shaping the business world's landscape. Streaming and AI integration have emerged as crucial drivers in this digital transformation era, focusing on the dynamic and real-time facets of data flow to generate contextually relevant predictions.

Businesses across diverse sectors increasingly adopt AI technology to optimise operations, stay competitive, and augment user experiences. However, AI's true potential only unfolds when applied to the right data sets, at the right moment, and within the appropriate context. In this session, Italo will discuss how AI and Streaming can work together to provide the latest and freshest data, be it about our customers, your business, or the market to your business.

Even as data teams remain lean in 2024, data engineers are still expected to swiftly deliver data for various use cases. Adding new data sources and updating existing ones consumes nearly half of a data engineer's time, hindering your organization's data and AI-led goals. Rivery's modern data platform solves this issue across all your data sources with an innovative blueprint and generative AI. Join this session to learn how to overcome unscalable data pipeline challenges and unlock the benefits of all of your Data.

Join this session to learn how to overcome unscalable data pipeline challenges and unlock the benefits of all of your Data.

The next big innovation in data management after separation of compute and storage is the open table formats. These formats have truly commoditized storage, allowing you to store data anywhere and run multiple compute workloads without vendor lock-in. This innovation addresses the biggest challenges of cloud data warehousing — performance, usability, and high costs—ushering in the era of the data lakehouse architecture.

In this session, discover how an AI-powered data lakehouse:

• Unlocks data for modern AI use cases

• Enhances performance and enables real-time analytics

• Reduces total cost of ownership (TCO) by up to 75%

• Delivers increased interoperability across the entire data landscape

Join us to explore how the integration of AI with the lakehouse architecture can transform your approach to data management and analytics.

In the past, a central data team handled data management. However, challenges arose with the rise of the modern data stack, leading to the demand for Data Mesh and data product management. Today, more organizations are attempting to enable self-service data management, but there’s no clear solution. This presentation will show how an analytical franchise model can help you manage data yourself with your current stack. It’ll also talk about what’s been done and how AI can make data management better in the future.

Join this session to discover how DataStax Astra DB can boost productivity, deploy GenAI apps in minutes, and transform customer experience. We’ll showcase an advanced semantic search use case on vectorising entire videos with specific timestamps and use natural language processing to find precise moments from the Olympics. Learn about the open-source model that runs locally, making this powerful tool both accessible and free. Additionally, explore hybrid search capabilities to integrate multiple videos into a single collection and streamline processes by only loading embeddings and metadata. Perfect for enhancing content management and delivering exceptional user experiences.

Look ahead to the future of Generative AI as we discuss emerging trends including autonomous agents and interactive AI

AI is changing our work and personal lives, offering unprecedented opportunities in almost every arena. However, many organizations risk undermining their AI-driven projects by neglecting the need to unify, protect, and improve their data from the outset. Join this session to see first-hand examples of how feeding different data sets into a custom Large Language Model (LLM) can impact outcomes and learn how to build your foundation of high-quality, fully governed data today.

In our data community, we tend to use a lot of technical jargon that is meaningless to business executives seeking outcome-oriented solutions. Instead of your business cases getting shuffled into technology budgets, bring your AI initiative to the forefront by focusing on business priorities and value. Data mesh, data fabric, data lakehouse projects and others have failed to do this, and have taken a toll on the rigor required to make your AI case. In this session you will learn to flip the script - talk value first, educate and provide data literacy to your executive team and stakeholders, and make your AI solutions a reality in record time, with the right level of investment.

For over three decades we have been powering people and businesses to think and behave differently. In this session, we will share our insights into how you can build the right data culture, by SEEing the value of data through three key pillars: Sponsorship, Education, and Embedding. Detail ? Data helps us to make better, more informed decisions ? and the role of data should not be considered as an ?add-on? to existing capabilities but something that underpins all of those capabilities. Organisations need to understand that this is not just an incremental, evolutionary shift that gives better access to data and richer visualisation ? but something truly transformative when a strong data culture is embedded, alongside elements such as predictive analytics and artificial intelligence. We will discuss with attendees: The importance of adopting a ?shift left? mindset to the use of data in understanding problems, and the designing, developing, testing and operating of solutions. The criticality of investing in culture, which has a disproportionately positive impact on the success of data transformation programmes. The success which can be achieved by following the SEEing model: ~ Sponsorship means demanding better data in order to make better decisions from the Board downwards, and equipping sponsors of business and change programmes to seek and know how to use the right data to deliver better outcomes. ~ Education means helping people understand the value that data can give them; driving demand for data and helping people to see that it should be a foundation in everything they do. ~ Embedding means making data experts integral to teams, in a similar way that DevOps brought operational staff into development teams, which helps to build up understanding and trust between data experts and data users/beneficiaries, increasing domain knowledge in data experts and data/analytics knowledge in the rest of the team. The session will conclude with Q+A.

Join Scott Gamester as he challenges the outdated promises of legacy BI and self-service analytics tools. This session will explore the key issues that have hindered true data-driven decision-making and how modern solutions like Sigma Computing, Databricks, and Snowflake are redefining the landscape. Scott will demonstrate how integrating these platforms empowers business analysts, driving innovation at the edge and enabling AI-enhanced insights. Attendees will learn how these advancements are transforming business empowerment and fostering a new era of creativity and efficiency in analytics.

Paco Nathan is a national treasure. He's not only an OG in the field of AI, but he's also instrumental in early hacker and cyberpunk culture.

When I first met Paco, it suddenly clicked that I'd seen his name in various cyberpunk and alternative zines back in the 1990s. We have a chat all sorts of crazy stuff, and I feel like we only got to 5% of the stories..

Send us a text Welcome to the cozy corner of the tech world where ones and zeros mingle with casual chit-chat. DataTopics Unplugged is your go-to spot for laid-back banter about the latest in tech, AI, and coding. In this episode, Jonas joins us with fresh takes on AI smarts, sneaky coding tips, and a spicy CI debate: OpenAI's GPT-01 ("Strawberry"): The team explores OpenAI’s newest model, its advanced reasoning capabilities, and potential biases in benchmarksbased on training methods. For a deeper dive, check out the Awesome-LLM-Strawberry project.AI hits 120 IQ: Yep, AI is now officially smarter than most of us. With an IQ of 120, AI is now officially smarter than most humans. We discuss the implications for AI's future role in decision-making and society.Greppability FTW: Ever struggled to find that one line of code? Greppability is the secret weapon you didn’t know you needed. Bart introduces greppability—a key metric for how easy it is to find code in large projects, and why it matters more than you think.Pre-commit hooks: Yay or nay? Is pre-commit the best tool for Continuous Integration, or are there better ways to streamline code quality checks? The team dives into the pros and cons and shares their own experiences.

Explore how AI is changing data management, learn best practices, and glimpse into the future of how data consumption might look in 5 years.

Everyone wants to take advantage of AI but to truly do so, the data must be made ready for use. Every data team has been asked to make their data ready for use by AI. But what does that actually look like in practice? How do you know if you're there? And how do you get there if you're not? This session will explore how AI is changing data management, share best practices when using AI for data management, and provide a glimpse into the future of how data consumption might look in 5 years.

Your world is filled with an ever-changing landscape of tools that create and use metadata. Each tool is useful, but independent, unable to share and link what it knows to information from other tools. The result is a disconnected story throughout your data and AI operations, making it hard to know where data came from, how it can and should be processed; leading to uncertainty in the trustworthiness of your AI results.

Using open source software from the Linux Foundation, (including Egeria, Open Lineage, Unity Catalog) we will share a simple approach to incrementally link and govern these tools to create end-to-end lineage, provenance and information sharing along your tool chains.

Discover how a leading optics & photonics manufacturer is revolutionising its technical support by implementing an AI chatbot, resulting in significantly reduced response times and improved accuracy, ultimately enhancing customer satisfaction and operational efficiency.

Imagine what's possible with social media analytics in a world of Generative AI: a whole new level of depth, speed and accuracy in understanding how your customers shop, how they work, how they live, and how they feel about key topics.

In this session, you’ll learn how to capture the context shaping your customers’ environment, emotions and behaviour, and to operationalize this across the enterprise for competitive advantage. Join Quid Founder and President Bob Goodson to discover how the biggest brands in the world are pioneering this new approach.