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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Data and analytics leaders and their data engineering teams are tasked with evaluating and selecting data integration tools. However, there are many options, which can be confusing. This session will explain the various types of data integration tools and technologies available in the market, and help you select the right data integration tool for your needs.

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.

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.

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

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.

You've likely encountered human resistance to your data and analytics governance initiative, which can be frustrating because what you are doing seems like common sense. The very people you think your governance initiative will help can derail or block it. This session explores the people challenges encountered, and lessons learned on the journey to governance failures and successes.

Trust models enable D&A governance leaders to understand how data, analytics and AI assets are used across their enterprise to support business outcomes. This session will help you understand what trust models are, and how they can be used to drive better business outcomes.

Patrick Thompson, co-founder of Clarify and former co-founder of Iteratively (acquired by Amplitude), joined Yuliia and Dumky to discuss the evolution from data quality to decision quality. Patrick shares his experience building data contracts solutions at Atlassian and later developing analytics tracking tools. Patrick challenges the assumption that AI will eliminate the need for structured data. He argues that while LLMs excel at understanding unstructured data, businesses still need deterministic systems for automation and decision-making. Patrick shares insights on why enforcing data quality at the source remains critical, even in an AI-first world, and explains his shift from analytics to CRM while maintaining focus on customer data unification and business impact over technical perfectionism.Tune in!

Organisations are racing to adopt AI/ML solutions. But AI/ML solutions are only as trustworthy as the data used to train them, and are only impactful where we can deploy and operationalise them at scale. In this session we will discuss proven approaches to improving quality, reducing time-to-market for new analytics, and improving Data Scientist productivity, whilst also addressing concerns about ethics, compliance and data leakage.

As enterprises accelerate their digital transformation journeys, the convergence of AI, data, and analytics is reshaping decision-making at every level. CDOs and CIOs are at the forefront of this shift, balancing data strategy, governance, and AI-driven automation to drive competitive advantage.

The Bank of India is redefining trust through the power of data. Join its Analytics Head as they share how AI, real-time analytics, and predictive insights are transforming security, transparency, and customer experience. Discover how a legacy institution is embracing agility to lead the future of banking.
In addition - see how organizations unlock value with SAS Viya — achieving over 100x performance gains and half the cost in compute and storage costs when modernizing SAS 9 environments. It will explore how Intelligent Decisioning and Generative AI are integrated with data and models to automate decisions and drive stronger business outcomes.

Rapid changes demand innovative decision-making tools beyond traditional methods. Businesses are turning to AI, BI, and data science to gain a competitive edge. The perfect blend of these technologies can be a true differentiator.

Take a quick look at what to expect from this session:
-Challenges in data and analytics today
-Unlocking the power of AI, BI, and data science
-The transformative role of AI-powered self-service BI platforms
-Live demos of next-generation analytics in action

Learn how these innovations can drive better decisions to deliver transformative business outcomes.

D&A leaders and teams are at an AI-driven inflection point. They are crucial to enable business value through AI-readiness but must evolve their strategy and operating model to meet their organization’s AI ambitions. Reporting from the Gartner 2025 CDAO Agenda Survey, this session reveals actions successful D&A leaders have taken to deliver business outcomes from AI, data, and analytics, and what they need to do next year.

To position their teams as a must-have discipline that can fulfill cross-functional use cases, D&A leaders must optimize their organizational model. The optimal organizational model is one that balances enterprisewide capabilities focused on enablement with decentralized needs focused on outcomes. In this session you will learn the design principles behind the right D&A organizational model and how to balance a centralized team (focused on enablement) and decentralized needs (focused on outcomes).

With high D&A ambitions and AI pilots becoming increasingly ubiquitous, focus is shifting toward consistent execution. We will share how to continue innovating and experimenting while scaling success. In this keynote, Gartner’s perspective will guide you on preparing for the expected and adapting to the unexpected. Learn to enhance your D&A and AI capabilities on the path to success.

The Inside Economics crew talks about the latest tariff news, as well as the reconciliation bill making its way through Congress and the long-term macroeconomic consequences of the bill. Mark gives some rules of thumb about the tariff impact on inflation, as well as the debt-to-GDP ratio and long-term bond yields. Finally, the team answers several listener questions and plays the stats game. Hosts: Mark Zandi – Chief Economist, Moody’s Analytics, Cris deRitis – Deputy Chief Economist, Moody’s Analytics, Marisa DiNatale – Senior Director - Head of Global Forecasting, Moody’s Analytics Follow Mark Zandi on 'X', BlueSky or LinkedIn @MarkZandi, Cris deRitis on LinkedIn, and Marisa DiNatale on LinkedIn

Questions or Comments, please email us at [email protected]. We would love to hear from you.    To stay informed and follow the insights of Moody's Analytics economists, visit Economic View.

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What happens when a passion for data science meets the fast-paced world of stock trading? In this episode, we're joined by Matt Dancho, Founder of Business Science, Quant Science, and the creator of the popular tidyquant package, who shares his journey from data scientist to launching Business Science and the projects and packages he's built along the way. We explore how he leverages Python and R to trade stocks, as well as the lessons he's learned from building a business in the data. Whether you're a data professional, a stock market enthusiast, or an aspiring entrepreneur, this episode is packed with actionable insights to level up your skills and strategies. What You'll Learn: Taking your data skills and furthering your career to make money. Tips for working with stock data. How AI is changing analytics   Register for free to be part of the next live session: https://bit.ly/3XB3A8b   Follow us on Socials: LinkedIn YouTube Instagram (Mavens of Data) Instagram (Maven Analytics) TikTok Facebook Medium X/Twitter

Behavioural data is fast becoming a cornerstone of modern business strategy. Not just for media measurement or advertising optimisation, but across product, pricing, logistics, and platform development. It tells us what people actually do, not just what they say they do. As traditional market research struggles with low engagement and recall bias, brands are turning to digital behavioural data to make sharper, faster decisions. Whether it's tracking consumer journeys in the app economy or identifying early adoption trends (like the impact of AI tools on category disruption), the value lies in real, observable behaviour at scale. But, that shift raises new questions around data ownership, consent, and fairness. And, the rise of AI is only accelerating both the opportunity and the complexity. In the latest episode of Hub & Spoken, Jason Foster, CEO & Founder of Cynozure, speaks to Chris Havemann, CEO of RealityMine, and discusses everything from: The transition from survey-based research to behavioural data analysis The impact of AI on interpreting digital interactions Ethical considerations surrounding data consent and transparency Building trust through clear data collection and usage practices Learn from Chris's 25+ years in data and insight, and explore how behavioural signals are reshaping everything from media to market intelligence. ****    Cynozure is a leading data, analytics and AI company that helps organisations to reach their data potential. It works with clients on data and AI strategy, data management, data architecture and engineering, analytics and AI, data culture and literacy, and data leadership. The company was named one of The Sunday Times' fastest-growing private companies in both 2022 and 2023 and recognised as The Best Place to Work in Data by DataIQ in 2023 and 2024. Cynozure is a certified B Corporation.