In the era of AI-driven applications, personalization is paramount. This talk explores the concept of Full RAG (Retrieval-Augmented Generation) and its potential to revolutionize user experiences across industries. We examine four levels of context personalization, from basic recommendations to highly tailored, real-time interactions.

The presentation demonstrates how increasing levels of context - from batch data to streaming and real-time inputs - can dramatically improve AI model outputs. We discuss the challenges of implementing sophisticated context personalization, including data engineering complexities and the need for efficient, scalable solutions.

Introducing the concept of a Context Platform, we showcase how tools like Tecton can simplify the process of building, deploying, and managing personalized context at scale. Through practical examples in travel recommendations, we illustrate how developers can easily create and integrate batch, streaming, and real-time context using simple Python code, enabling more engaging and valuable AI-powered experiences.

Big data has moved beyond being just a buzzword; it's now at the heart of modern business strategies. When used effectively and efficiently, data can open up new revenue opportunities, provide deep insights, and even drive social impact. As digital transformation accelerates, data is no longer just a tool—it's woven into the fabric of every part of an organization. Designing and maintaining a tier 1 data platform has become essential to staying ahead of the competition. 

Especially with AI-driven applications on the rise, the convergence of DevSecOps and DataOps is becoming increasingly critical. The recent global disruption caused by a security company's mistake was a wake-up call—highlighting just how high the stakes can be. Building and scaling data platforms isn't enough; security and scalability need to be integral to the entire data lifecycle. 

Bringing more than a decade of SRE experience to maintaining and managing top enterprise software, we will discuss how to tear down silos and encourage collaboration among development, security, operations, and data teams. By doing so, organizations can achieve unprecedented levels of reliability and security. Integrating DevSecOps with DataOps doesn't just automate and protect data operations—it also safeguards data integrity, privacy, and compliance, even as data environments expand in size and complexity. In today's competitive market, this proactive stance is what will set the leaders apart from the rest.

Main Actionable Takeaways:

• Cultivate a Collaborative Culture

• Prioritize Resilience and Recovery

• Integrate Security Seamlessly into Data Pipeline

Navigate the complexities of today's digital and data landscape in our panel discussion that underscores the essential role of data governance in the era of accelerating mis- and dis-information. As Big Data ceases to be a buzzword and transforms into the lifeblood of decision-making, governance is elevated from a regulatory compliance requirement to a differentiator and a beacon of trust. This session goes beyond exploration of governance as a data hygiene factor and delves into the relationship between governance, value creation, and elicitation of trust—particularly for decisions steered by AI as we travel into the world of automated risk management and decision making.

Curious about Data Observability or eager to leverage AI to its fullest potential? Join this session to explore what Data Observability is and how industry leaders leverage it for a competitive edge. Whether you're new to the concept or looking to deepen your knowledge, this session empowers you to excel in the AI age with trusted, high-quality data delivered by Acceldata, the All-in-One Enterprise Data Observability Platform.

Learn how AI is transforming the tech industry. 

Join us for a panel discussion where industry leaders will share insights on using AI to enhance business intelligence, drive innovation, and gain a competitive edge. 

Discover how AI can improve decision-making, personalise customer experiences, and boost operational efficiency. 

This session offers actionable insights for companies looking to harness the power of AI-enhanced analytics. 

Stop wrestling with unstructured data! In this session, discover how prompt engineering can effortlessly turn messy text into structured, machine-readable gold. We'll show you how to categorize news, social posts, and customer feedback, summarize lengthy emails and discussions, and even clean up messy data by fixing typos and inconsistencies. No coding skills are needed! You'll leave empowered to extract valuable insights from unstructured data, streamline your analysis, make faster decisions, and empower your whole team to work with AI.

Artificial Intelligence (AI) has well and truly landed in the boardroom, driven by the hype and clear potential that AI promises. For a select group, this has been an accelerator to performance, delivering operational and strategic improvements. For many, however, confusion and lack of certainty has crept in, creating overwhelm and indecision. In this session, Jason will talk about what’s been happening in the Boardroom and how you, as data leaders and professionals, can react and use this time as an opportunity. 

Ready to elevate your data game? Join us for an exciting session with Shiv Nayak from EasyJet! Discover how they’re transforming their approach with cutting-edge technology—natural language search, AI, and GPT—to make data insights faster and more accessible than ever. In a fast-paced world where speed and clarity are crucial, see how EasyJet is staying ahead of the competition by turning data into a powerful, self-service tool that drives their success. Shiv will be joined by James Smith, VP EMEA at ThoughtSpot. Don’t miss this chance to learn from the leaders shaping the future of data.

Join Nir Evron for an insightful session on the next wave of AI innovation. With Generative AI having revolutionized industries for nearly two years, we will explore emerging trends and ground breaking concepts that define the ‘Season 2 of AI’. Discover how these advancements are shaping the future of technology and driving unprecedented opportunities.

Industry leaders from Adaptavist and Givaudan will share insights into their data stack and maturity, the importance of data observability, and who should own it internally. They will discuss their journey to securing buy-in for data observability, offer advice for organizations beginning their journey, and explore the future role of automation and AI in this space.

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.

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.

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.

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.

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.

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. 

This past year was one of technology’s most exciting with the emergence of generative AI, as leaders everywhere considered the possibilities it represented for their organisations.

While many have already recognised its value and are eager to continue innovating, others are inspired by its potential and are seeking ways to adopt it

To implement a successful AI analytics strategy, three key ingredients are essential: powerful AI models, clean data, and a data culture ready to leverage these solutions.

Join us as we examine the challenges and opportunities data leaders face in preparing their organisations for the AI era.

AI is as revolutionary to data as the computer was to the typewriter.

The hype of GenAI is unavoidable. In today’s AI-driven world, how can you enable and educate your organisation to embrace a GenAI strategy and narrow down your use cases to those that truly drive value?