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Topic

GenAI

Generative AI

ai machine_learning llm

1517

tagged

Activity Trend

192 peak/qtr
2020-Q1 2026-Q1

Activities

1517 activities · Newest first

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 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.

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.

In today’s data-driven world, organizations are increasingly challenged to extract meaningful insights from both structured and unstructured data. Join Matillion and Snowflake in this exclusive session where we explore the transformative power of generative AI within data pipelines, leveraging Snowflake's robust platform and Cortex's advanced capabilities.

This session will guide you through practical use cases that demonstrate how to integrate unstructured and structured data to unlock new insights seamlessly:

Transforming Unstructured Data into Actionable Intelligence:

Discover how to convert customer reviews into structured data by labeling actionable items, extracting product names, and assessing sentiment. We’ll walk you through creating a BI dashboard and generating reports that highlight actionable defects and desired features, empowering your team to make data-driven decisions.

Generating Executive Summaries from Structured Data:

Learn how to generate insightful commentary from your existing structured data. We’ll show you how to create concise executive summaries and trend analyses, integrating contextual information such as competitor activities or regional updates. Imagine automating a weekly Slack message to your leadership team, complete with key sales trends and strategic insights.

Throughout this session, we will showcase the capabilities of Cortex, demonstrating how it can be seamlessly integrated into your data pipelines to enhance your data processing workflows. Whether you’re looking to improve customer experience, drive operational efficiency, or stay ahead of the competition, this session will provide you with the tools and techniques to harness the full potential of your data.

Join us to learn how to turn data into actionable insights that drive business success.

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.

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.

Face To Face
by Jennifer Jackson (Actian, a division of HCLSoftware) , Emma McGrattan (Actian, a division of HCLSoftware)

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.

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.