Organizations today require more than dashboards—they need applications that combine insights with data collection and action capabilities to drive meaningful change. In this session, Stipo Josipovic (Director of Product) will showcase the key innovations enabling this shift, from expanded write-back capabilities to workflow automation features.

You'll learn about Sigma's growing data app capabilities, including:

Enhanced write-back features: Redshift and upcoming BigQuery support, bulk data entry, and form-based collection for structured workflows Advanced security controls: Conditional editing and row-level security for precise data governance Intuitive interface components: Containers, modals, and tabbed navigation for app-like experiences Powerful Actions framework: API integrations, notifications, and automated triggers to drive business processes This session covers both recently released features and Sigma's upcoming roadmap, including detail views, simplified form-building, and new API actions to integrate with your tech stack. Discover how Sigma helps organizations move beyond analysis to meaningful action.

➡️ Learn more about Data Apps: https://www.sigmacomputing.com/product/data-applications?utm_source=youtube&utm_medium=organic&utm_campaign=data_apps_conference&utm_content=pp_data_apps

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As companies scale, retaining and accessing institutional knowledge becomes increasingly challenging. Customer Success teams often navigate multiple platforms to piece together customer histories, making it difficult to maintain continuity and provide efficient service across account transitions.

In this session, Curtis de Castro will demonstrate how Sigma:

Built an AI-powered repository that consolidates all customer interactions into a single, searchable platform Enabled real-time filtering and analysis of customer interactions across chat, email, and tickets Implemented AI-driven features for sentiment analysis, meeting agenda generation, and churn risk detection Developed a scalable solution that maintains data security by leveraging Snowflake Cortex Designed an intuitive interface that makes advanced insights accessible without SQL expertise Previously, deep customer analysis took hours—sometimes days. Now, AI surfaces key insights in minutes, enabling teams to focus on action instead of searching for data. Join this session for a demo of how Sigma built an enterprise-grade AI-powered data app to modernize customer intelligence, while maintaining enterprise-grade security and governance.

➡️ Learn more about Data Apps: https://www.sigmacomputing.com/product/data-applications?utm_source=youtube&utm_medium=organic&utm_campaign=data_apps_conference&utm_content=pp_data_apps

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Conagra’s brand teams needed a dynamic, centralized way to track and analyze macro and micro events affecting business performance. Previously, teams relied on manual Excel processes to compare shipments, consumption trends, and promotions against external factors like weather and consumer pricing data. This approach led to inefficiencies, inconsistencies, and limited adoption.

In this session, Matthew Henkel (Sr Analyst Advanced Analytics) and Manav Purohit (Director Analytics Engineering) will showcase the Event Impact Tracker, a Sigma-powered data app that:

Unifies external & internal data for better event-driven decision-making Leverages input tables to allow users to log and track internal events Enables easy adoption with an Excel-like, user-friendly experience Join this session to see a demo of the app and hear how Conagra transformed event tracking into a scalable, data-driven process with Sigma Data Apps.

➡️ Learn more about Data Apps: https://www.sigmacomputing.com/product/data-applications?utm_source=youtube&utm_medium=organic&utm_campaign=data_apps_conference&utm_content=pp_data_apps

➡️ Sign up for your free trial: https://www.sigmacomputing.com/go/free-trial?utm_source=youtube&utm_medium=video&utm_campaign=free_trial&utm_content=free_trial

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Corporate philanthropy is a key pillar of Blackstone’s culture, with regular firm-wide initiatives planned to rally employees around charitable causes. However, Blackstone's annual Global Fight Hunger campaign faced challenges with their traditional live auction format - events took hours, required simultaneous attendance, and limited participation to high-value items. The team needed a solution that could engage 700+ employees across divisions while supporting both premium experiences and smaller donations.

In this session, Ariel Amdur (Managing Director) will share how Blackstone built a Charity Auction Data App using Sigma to:

Expand participation beyond live events with a real-time silent auction system Automate bid tracking and donation logging to reduce administrative burden Enhance transparency by linking bids to employee profiles, ensuring clear tracking and reporting Drive excitement and engagement with a digital-first approach to corporate giving By moving to a data app-driven auction process, Blackstone increased participation, simplified donation tracking, and created a more scalable and engaging way to support charitable initiatives. Watch the demo to see how Sigma helped make this transformation possible.

➡️ Learn more about Data Apps: https://www.sigmacomputing.com/product/data-applications?utm_source=youtube&utm_medium=organic&utm_campaign=data_apps_conference&utm_content=pp_data_apps

➡️ Sign up for your free trial: https://www.sigmacomputing.com/go/free-trial?utm_source=youtube&utm_medium=video&utm_campaign=free_trial&utm_content=free_trial

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Traditional analytics platforms help you understand what happened, but what about acting on those insights? Sigma Data Apps bridges this gap, allowing you to create purpose-built applications that combine live data, human inputs, and automated workflows—all connected directly to your cloud data warehouse.

In this kickoff, the Sigma team demonstrates how the platform has evolved beyond dashboards to enable true end-to-end workflows:

Learn how Writeback allows you to collect and update data directly in your cloud warehouse See how the Actions Framework automates processes with a single click Explore application layouts with modals, popovers, and tab containers to create intuitive user experiences Discover how to integrate AI models from your data warehouse for advanced analytics

Whether you're looking to replace expensive departmental software, enhance spreadsheet-based processes, or create entirely new workflows, this session will show you how Sigma's Data Apps can help you build solutions that match your exact business needs—in days, not months, without writing a single line of code.

➡️ Learn more about Data Apps: https://www.sigmacomputing.com/product/data-applications?utm_source=youtube&utm_medium=organic&utm_campaign=data_apps_conference&utm_content=pp_data_apps

➡️ Sign up for your free trial: https://www.sigmacomputing.com/go/free-trial?utm_source=youtube&utm_medium=video&utm_campaign=free_trial&utm_content=free_trial

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In this session, we will explore cost transformative vendors such as DeepSeek and MistralAI’s impact on AI development, highlighting the potential to enhance enterprise innovation at a price/performance that is unprecedented. Data, analytics & AI leaders can bring their questions on how they can capitalize on new training and inferencing paradigms in AI, the future of AI model development and the impact of reasoning models on a more autonomous future in AI.

Lakehouse has become a cornerstone in managing large and heterogeneous data by providing capabilities that simplify organizational data architecture, unify data assets, and help streamline, harmonize, and enhance data processes, operations and governance. Lakehouse provides high value to the organization, reduces technical debt, and prepares the organization for new frontiers like AI.

AI systems can have significant impact in organizations decisions and product offerings. This has triggered a complex regulatory landscape and related organizational guidance to ensure responsible and ethical implementation of AI systems. This session provides the technology framework supporting the processes and policies for a reliable AI system that is fair, safe and secure.

Heads of analytics & AI face many challenges such as keeping afloat, staying the course or racing ahead in the race for AI superiority. This session will focus on the top fears, risks, objections and hurdles leaders of Analytics & AI face and most importantly, how to handle them.

The emergence of Agentic AI will revolutionize automation and efficiency gains cutting across businesses. However, challenges like hallucination and inconsistency hinder the immediate adoption of GenAI models. Utilizing Agentic AI to tame the inherent variability of unstructured data, which is at the core of every white collar work, is the basic step to exploit larger AgenticAI automation in enterprises. This is based on our experience of designing hundreds of automation solutions. We will showcase a few use-cases in this session.

GPU acceleration is transforming how data scientists tackle computationally intensive problems in the AI and materials science fields. When dealing with billions of potential molecular combinations or massive datasets requiring dimensionality reduction, traditional CPU approaches often become prohibitively slow and expensive. How can data professionals determine when GPU acceleration will provide meaningful benefits to their workflows? Understanding the right applications for this technology can mean the difference between waiting hours versus minutes for critical results. Nick Becker is a Group Product Manager at NVIDIA, focused on building RAPIDS and the broader accelerated data science ecosystem. Nick has a professional background in technology and government. Prior to NVIDIA, he worked at Enigma Technologies, a data science startup. Before Enigma, he conducted economics research and forecasting at the Federal Reserve Board of Governors, the central bank of the United States. Dan Hannah is an Associate Director at SES AI Corporation. At SES, Dan leads a research program focused on discovering new battery materials using machine learning, chemical informatics, and physics-driven simulations. Prior to joining SES, Dan spent several years as a data scientist in the cybersecurity industry. Dan holds a Ph.D. in Physical Chemistry from Northwestern University and did a postdoctoral fellowship at Berkeley National Lab, where his focus was the discovery of novel inorganic materials for energy applications. In the episode, Richie, Nick, and Dan explore the quest for new battery technologies, the role of data science and machine learning in material discovery, the integration of NVIDIA's GPU technology, the balance between computational simulations and lab work, and much more. Links Mentioned in the Show: NVIDIA RAPIDSSES AI CorporationConnect with Dan and NickCareer Track: Machine Learning Scientist in PythonRelated Episode: Data Science Trends from 2 Kaggle Grandmasters with Jean-Francois Puget, Distinguished Engineer at NVIDIA & Chris Deotte, Senior Data Scientist at NVIDIARewatch sessions from RADAR: Skills Edition New to DataCamp? Learn on the go using the DataCamp mobile appEmpower your business with world-class data and AI skills with DataCamp for business

The fourth industrial revolution is fueled by AI and data. This talk will describe how to create and consume data products leveraging capabilities of Generative AI. Empowering knowledge workers with self-service access to data is an essential capability of a modern enterprise. Robust metadata and a framework for Minimum Viable Governance (MVG) is at the heart of trusted AI. The use of Generative AI to automate creation of data products will be discussed along with critical techniques to ensure integrity of the data product design. The use of natural language interfaces for interrogating data products will also be discussed.
-Learn about the anatomy of data as a product in support of corporate AI initiatives.
-Learn about the concept of Minimum Viable Governance to drive the right balance between agility and governance.
-Learn how business users can be empowered to create data products through a scalable manufacturing process using Generative AI.

Qlik Fireside Chat: Unifying Data, Insights & Intelligence: How Industry Leaders Are Driving Business Value

In an era defined by data, industry leaders are turning to platforms that not only analyze data but also unify and activate it across the enterprise. Join senior leaders from Mahindra & Mahindra, Ather Energy, and Parle Biscuits as they explore how data integration and real-time analytics to AI and ML—are helping them drive operational efficiency, accelerate innovation, and make smarter, faster decisions. Discover how these organizations are future proofing their data strategies while delivering measurable business outcomes.

AI-powered decisioning is here—but why aren’t enterprises fully leveraging its potential? Many organizations still struggle with fragmented decisioning engines, inefficient workflows, siloed data and lack of AI governance.
Join us for an engaging discussion with your peers. We’ll tackle the real barriers to AI-driven automation, explore strategies for integration, and explore how organizations are achieving measurable impact through seamless, scalable decisioning.

Industry Focus: Banking | FS | Insurance | Manufacturing
Level of attendees: Analytics Experts| Credit Mgrs, Sr. Mgrs, BU Head

There’s a lot of interest and buzz around AI agents, however, what separates an agent from an assistant? How do you bring agents to production and drive ROI for your business? Join IBM, clients, and partners, to learn how the latest AI agents and assistants are empowering teams with needed expertise, turning piles of data into personalized insights and automating business processes across various enterprise domains.

Explore how Salesforce Data Cloud and Tableau, powered by intelligent agents, are revolutionizing data-driven decision-making, enabling seamless analytics and faster insights. This session explores how unified customer 360, real-time analytics, and AI-driven insights empower organizations to act swiftly and innovate effectively.

Getting AI/ML innovation out of the lab and into production means operationalising and scaling complex pipelines, and ensuring that the resulting signals are pushed into operational workflows where they can be actioned. We will briefly introduce Teradata’s extensive AI/ML capabilities and provide examples of how customers leverage them. We will also discuss Agentic AI, what it means for the data platform - and how Teradata’s industry-leading vector store is enabling customers to deploy scalable RAG applications.

Philips, with its legacy of innovation and diverse AI portfolio, recognized the potential of Large Language Models. To enable scalable and responsible Generative AI adoption, Philips established the "AI Foundation." This multi-disciplinary team provides Generative AI as a service, addressing, awareness and education, rapid iteration, enterprise data integration, platform experiences, and robust compliance. Learn how The AI Foundation empowers Philips teams to build innovative, Generative AI-powered solutions at scale through foundational services and a governed platform.

The enormous potential business value of AI is not going to materialize spontaneously. AI leaders should guide their organization toward an era in which AI is not only creating tangible business value but goes beyond to become a critical competitive differentiator and industry disruptor.

As enterprises accelerate their adoption of AI, a critical challenge emerges: how to move from static post processing to AI systems that adapt and act continuously in real time. Combining data, context and behavior is essential for enterprises seeking competitive advantage through automation, personalization and operational efficiency. From fraud detection to supply chain optimization and intelligent customer engagement, enterprises will require low-latency data platforms with rapid ingestion, instant complex inference and real-time feedback loops to build adaptive AI solutions.