In this talk, we will look into YTsaurus, an open-source platform for distributed data storage and processing, capable of handling different kinds of workloads: from machine learning to fast analytical queries, from batch processing to low-latency transaction processing. We will cover the architecture of the platform, its scalability and capabilities, focusing on the benefits of a unified approach to data processing.

As the hype for AI grows, organizations are still wrestling with the fundamentals of data governance. The ambitions of executives and boardrooms to implement next-gen AI use cases hinges on a solid data foundation including cataloging, ownership, and data quality. Join Collibra’s Chief Data Citizen, Stijn Christiaens and Vodafone’s Sr. Data Governance Manager, Fede Frumento, to learn how Vodafone has used data governance fundamentals to increase the scalability and collaboration of GenAI use cases.

Join our session on GraphRAG, blending graph theory and generative AI for intuitive, enriched data interaction and smarter insights.

From a data perspective, an ideal scenario is one where practitioners can have a meaningful conversation with their data. In an era where data is both abundant and critical, the need for innovative methods to interact with and understand complex datasets has never been greater. Enter GraphRAG (Graph-based Retrieval-Augmented Generation), a cutting-edge approach that revolutionizes data interaction by seamlessly integrating graph theory with generative AI.

GraphRAG leverages the power of a knowledge graph to represent relationships within data, enabling more intuitive navigation and retrieval of relevant information. By augmenting these capabilities with state-of-the-art generation models, GraphRAG provides users with enriched, context-aware outputs that significantly surpass traditional query-response systems.

Attendees will gain insights into the underlying principles of GraphRAG, its architectural components, and practical applications across various domains, from healthcare to finance. We will demonstrate real-world use cases, showcasing how GraphRAG not only improves efficiency and accuracy in data handling but also democratizes access to complex insights, empowering users to reach their ideal state of conversing with their data. Join us to discover how GraphRAG is paving the way for the future of intelligent data interaction.

In today's data-driven world, data mastery is crucial for success. Enter Data Observability, a revolutionary approach that tackles complex challenges and unlocks new possibilities in the age of AI. This session explores the transformative power of Data Observability through compelling use cases across various industries, including retail, finance, manufacturing, healthcare, and more.

As a leader in Data Observability, Acceldata will showcase how organizations can:

Detect and resolve data issues in real-time

Ensure data integrity throughout complex transformations

Maintain consistent data quality across diverse systems

See how retail giants optimize supply chains and enhance customer experiences, how financial institutions achieve superior compliance and risk management, and how manufacturers leverage data for efficiency and innovation.

This presentation goes beyond theory, showcasing the immense potential of Data Observability.

How can you avoid the data prep pitfalls that can tank a Gen AI initiative? How can you move quickly—and confidently—into the Gen AI era?

Many companies are under pressure to implement Gen AI ASAP, but not everyone sees the risks clearly. New Actian research shows nearly 80% of respondents think their data quality is up to the task. But real data prep takes more work than most business leaders think. How can you avoid the data prep pitfalls that can tank a Gen AI initiative? How can you move quickly—and confidently—into the Gen AI era? Actian’s SVP of Engineering & Product, Emma McGrattan and CMO Jennifer Jackson will share research and customer perspectives to explain true data readiness and how to optimize your Gen AI journey.

As data volumes multiply, business budgets shrink, and the data industry changes, relying on the old ways of executing can hold you and your team back. By embracing scalable, future-ready strategies, data engineers can shift focus to high-impact projects like AI and GenAI, helping your personal growth and your business stay ahead of the curve.

Join our session to:

• Learn how evolving your data architecture paves the way for AI and next-gen workloads

• Balance the trade-offs between building in-house and adopting modern tools for efficiency and scalability

• Discover how to transition to an AI-ready architecture, unlocking time for more innovative, revenue-generating projects.

Discover how Chaucer overcame resistance to change and are implementing Snowflake as their core AI data platform.

While Generative AI has dominated technological discussions since the release of ChatGPT, it represents just a fraction of the broader AI landscape. Many organizations are still struggling to harness its potential. In this session, we’ll explore the key challenges that successful companies have overcome in their AI journeys and highlight the major opportunities for leveraging the full spectrum of data and AI technologies.

GenAI is just a fraction of the landscape. Discover how companies can overcome challenges and leverage the full spectrum of AI technologies.

Artificial Intelligence has transitioned from a niche concept to a widespread force shaping the business world's landscape. Streaming and AI

As organizations are exploring and expanding on their AI capabilities, Chief Data Officers are now responsible for governing the data for responsible and trustworthy AI. This session will cover 5 key principles to ensure successful adoption and scaling of AI initiatives that align with their company?s business strategy. From data quality to advocating for ethical AI practices, the Chief Data Officer?s mandate has expanded to compliance of new AI regulations. Peggy Tsai, Chief Data Officer at BigID and adjunct faculty member at Carnegie Mellon University for the Chief Data Officer executive program, will provide insights into the AI governance strategies and outcomes crucial for cultivating an AI-first organization. Drawing on her extensive experience in data governance and AI, this session will be an invaluable guidance for all participants aiming to adopt industry-leading practices.

Rapid AI advancements are pushing businesses to rethink their data strategies, aiming to equip every employee with actionable, predictive insights on demand. However, innovation at speed comes with risks like unreliable data, trust issues, and change management obstacles. CEOs need these risks addressed before backing such initiatives. This session will guide you on enabling AI-driven transformation, managing risks, scaling efficiently, and achieving meaningful business results. It will also provide pointers to build a compelling business case to secure adequate funding for such initiatives. Uncover the roadblocks and essential fundamentals for driving innovation.

Telenet, an affiliate of Liberty Global, is a market leading telecom known for its continuous customer-centric innovation using AI and data analytics. As an early adopter of Snowflake, they use data to drive cutting edge innovation such as hyper personalized customer services and privacy compliant data sharing with networking and broadcast partners. To further spur innovation, Telenet wants to make it easier for analysts and AI engineers to find and access data. In this session you will learn how Telenet is using Snowflake, AWS and Raito to give data analysts and AI engineers access to data in a fast and secure way.

For over a decade organisations have been managing their most valuable data assets with Cloudera. That means that the most valuable data under management has never been accessible to the latest wave of AI. Now is the time to unlock the potential of Enterprise AI. Let's make data more accessible than ever before, let's lower the bar to access and bring data, analytics and augmented business intelligence to the whole Enterprise.

In this session, we'll explore how to translate all the latest data management trends: actionable data governance, generative AI, semantic ontologies, knowledge graphs, metadata management, into the business language and demonstrate the value of data initiatives quicker. For business users it's not just about keeping up with the latest tech trends. It's about the fundamental goals of lowering costs, increasing profitability and reducing time to value.

Exploring the challenges and learnings of implementing generative AI in real-world environments.

Join us as we explore the challenges and learnings of implementing generative AI in real-world environments. This keynote presentation will delve into the key considerations for overcoming organisational blockers to support faster delivery cycles. 

With AI tools constantly evolving, the potential for innovation seems limitless. But with great potential comes significant costs, and the question of efficiency and scalability becomes crucial. How can you ensure that your AI models are not only pushing boundaries but also delivering results in a cost-effective way? What strategies can help reduce the financial burden of training and deploying models, while still driving meaningful business outcomes?  Natalia Vassilieva is the VP & Field CTO of ML at Cerebras Systems. Natalia has a wealth of experience in research and development in natural language processing, computer vision, machine learning, and information retrieval. As Field CTO, she helps drive product adoption and customer engagement for Cerebras Systems' wafer-scale AI chips. Previously, Natalia was a Senior Research Manager at Hewlett Packard Labs, leading the Software and AI group. She also served as the head of HP Labs Russia leading research teams focused on developing algorithms and applications for text, image, and time-series analysis and modeling. Natalia has an academic background, having been a part-time Associate Professor at St. Petersburg State University and a lecturer at the Computer Science Center in St. Petersburg, Russia. She holds a PhD in Computer Science from St. Petersburg State University. Andy Hock is the Senior VP, Product & Strategy at Cerebras Systems. Andy runs the product strategy and roadmap for Cerebras Systems, focusing on integrating AI research, hardware, and software to accelerate the development and deployment of AI models. He has 15 years of experience in product management, technical program management, and enterprise business development; over 20 years of experience in research, algorithm development, and data analysis for image processing; and  9 years of experience in applied machine learning and AI. Previously he was Product Management lead for Data and Analytics for Terra Bella at Google, where he led the development of machine learning-powered data products from satellite imagery. Earlier, he was Senior Director for Advanced Technology Programs at Skybox Imaging (which became Terra Bella following its acquisition by Google in 2014), and before that was a Senior Program Manager and Senior Scientist at Arete Associates. He has a Ph.D. in Geophysics and Space Physics from the University of California, Los Angeles. In the episode, Richie, Natalia and Andy explore the dramatic recent progress in generative AI, cost and infrastructure challenges in AI, Cerebras’ custom AI chips and other hardware innovations, quantization in AI models, mixture of experts, RLHF, relevant AI use-cases, centralized vs decentralized AI compute, the future of AI and much more.  Links Mentioned in the Show: CerebrasCerebras Launches the World’s Fastest AI InferenceConnect with Natalia and AndyCourse: Implementing AI Solutions in BusinessRewatch sessions from RADAR: AI Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills witha...