Women in AI experts will explore the definition of fringe as it applies to humans and societies, and how we can find joy in and around the boundaries. Energy complexities and heavy regulations demand bold transformations that are sustainable and responsible. The panelists will share personal reflections and industry innovations where reactivating lost and misinformed stories are valuable (for example, across sociology, ethnography, space technologies, and investments). Adoption of modern frameworks is critical to expand enterprises beyond the legacy, and towards the uncharted.

Governance is difficult for an organization of any size, and many struggle to execute on data management in an efficient manner. At Assurance, the team has utilized Starburst Galaxy to embed ownership within the data mesh framework, completely transforming the way organizations handle data. By granting data owners complete control and visibility over their data, Assurance enables a more nuanced and effective approach to data management. This approach not only fosters a sense of responsibility but also ensures that data is relevant, up-to-date, and aligned with the evolving needs of the organization. In this presentation, Shen Weng and Mitchell Polsons will discuss the strategic implementation of compute ownership in Starburst Galaxy, showing how it empowers teams to identify and resolve issues quickly, significantly improving the uptime of key computing operations. This approach is vital for achieving operational excellence, characterized by enhanced efficiency, reliability, and quality. Additionally, the new data setup has enabled the Assurance team to simplify data transformation processes using dbt and to improve data quality monitoring with Monte Carlo, further streamlining and strengthening our data management practices.

Technical Debt is entropy applied to technology. Systems age, standards change, mistakes occur, and updates happen. The moment you buy any technology, you have to maintain it—but since technical failure is often hard to detect until something catastrophic occurs, systems begin to drift away from their initial operating state.

The faster an industry changes, the more quickly technical debt accrues. A farm tractor in the 1960s might still be in service today, because relatively little variance has happened; but a modern, GPS-guided piece of farm equipment needs constant software updates. And IT is changing much more quickly than tractors.

But constant support means rising costs in an organization asked to do more with less. Invest in maintenance and you'll be reliant on outdated systems amidst spiraling expenses; neglect them, and you'll constantly be chasing the new thing while scrambling to repair outages on legacy systems.

What's a savvy CIO to do? In this panel discussion, DM Radion's Eric Kavanagh hathers a panel of experts on digital transformation, AI-infused metamorphosis, and the role emerging technology plays in clearing the clutter of outdated IT stacks.

This panel discussion will explore how professional associations and certifications can enhance the careers of analytics professionals. This session will shed light on how association memberships and certifications open doors to networking opportunities, continuous learning, career advancement, and industry recognition. Attendees will gain new insights about how active participation in professional communities and earning certifications can influence their career trajectory, marketability, and professional growth in the ever-evolving domain of analytics. This discussion is a must-attend for anyone looking to elevate their analytics career.

AI is not only a disruptor but an enabler for delivering faster, leaner, and smarter solutions. In this session, Austin Vance, CEO and Founder of Focused Labs, explores how balanced cross-functional teams can harness the power of AI to optimize workflows, streamline collaboration, and mitigate risks while ensuring quality delivery.

Our discussion will center on reframing the narrative around AI, emphasizing its role in accelerating existing processes rather than replacing human expertise. We will delve into practical examples of AI-enabled initiatives for AI-driven design and development.

Furthermore, we will examine the implications of AI-driven development and how it can revolutionize traditional software engineering practices. By automating tedious tasks, augmenting decision-making capabilities, and enhancing information retrieval, AI has the potential to redefine the dynamics of software development teams.

Having a data-guided culture is a cornerstone of modern business. Only by updating the structures, incentives, and beliefs of the organization to one where data-informed operations are the norm can businesses capitalize on the advantages data offers.

In this talk, Cynozure's Jennifer Agnes will share why it's critical to have a holistic approach that incorporates every facet of your business if you want to successfully tackle your most complex business challenges.

Attendees will learn the CLEAR (Communicate, Lead, Act, Educate, Relate) framework for a data-guided culture; how to tailor a culture program to the organization and its goals; the business framing needed to secure executive buy-in and support; and practical initiatives and ideas that drive business engagement with data.

This isn't your typical tech talk—it's a story of the journey into how big players like LinkedIn, Uber Eats, and Stripe are mastering the art of real-time data. Viktor is here to demystify Apache Pinot's superpowers, showing you how it instantly transforms mountains of data into actionable insights. Business decision-makers have long had access to dashboards and reports, but now analytics can be made available to users as features of stickier, more engaging applications. With stories, insights, and a touch of humor, Viktor will unpack the cool features of Apache Pinot, including the Star-Tree Index, and show you why it’s a game-changer in data strategy. This session is for everyone, whether you're a data geek, a business guru, or just curious about the future of tech. Viktor's dynamic style will keep you on the edge of your seat, eager to implement these insights. So, buckle up and get ready to be wowed by the power of real-time analytics with Apache Pinot – it will be a blast!

Women in AI experts will provide a unique perspective on why it is important to start with the data for algorithms to be ethical, be it for new transformations or for enterprise transitions towards the Generative AI era. Data governance along with regulatory audits are not sufficient anymore, and the multifaceted responsibilities towards an accessible and inclusive future for all humans requires a comprehensive data strategy. The panelists will share industry perspectives from finance and sustainability that emphasize privacy, security, synthetic data, and maturity scores to scale ethical models.

Artificial intelligence (AI) is rapidly transforming the corporate world, with documented benefits such as improving efficiency and decision-making. However, the use of AI also raises several ethical concerns.

In this presentation, Dr. Serena Huang will discuss the double-edged sword of AI in the corporate world, including the key opportunities and risks. She will share lessons learned from implementing AI-based solutions on employees and offer practical guidance on addressing ethical concerns. Attendees will learn how to set up ethical "data councils" in F100 corporations, and provide actionable tips for organizations to unlock the full potential benefits of AI. 

Have you ever wondered how a data company does data? In this session, Isaac Obezo, Staff Data Engineer at Starburst, will take you for a peek behind the curtain into Starburst’s own data architecture built to support batch processing of telemetry data within Galaxy data pipelines. Isaac will walk you through our architecture utilizing tools like git, dbt, and Starburst Galaxy to create a CI/CD process allowing our data engineering team to iterate quickly to deploy new models, develop and land data, and create and improve existing models in the data lake. Isaac will also discuss Starburst’s mentality toward data quality, the use of data products, and the process toward delivering quality analytics.

Data-informed organizations outperform those who shoot from the hip. But while data is transforming front-office business and optimizing back-office productivity, applying it to talent still lags. Can we re-think how we find and nurture talent in the workplace?

In this session, Woxsen University's Raul Rodriguez explores how to apply machine learning, data harvesting, and algorithmic tools to identify your best talent, personalize their growth, and create a path forward for your best-performing team members.

AI fever has infected enterprises across the world. But hasty implementation, unrealistic expectations and poorly defined goals have often led to floundering or failure. The problem? Most leaders simply don’t know the right questions to ask to unlock the potential of both their AI and organizations. In this session, Domo's Chief Design Officer and Futurist Chris Willis will reveal how to address the four critical questions needed to unlock AI's true potential: 1. Is AI the right solution? 2. Can your data deliver? 3. Do you have the right talent? 4. Are there ethical risks? Leave this session armed with a checklist and confidence to begin getting more AI-powered success at your organization.

Customer Lifetime Value (CLV) is the cornerstone of any recurring-revenue or service business. It's one of the most important metric in contemporary business analytics, showing the long-term profitability and sustainability of customer relationships.

In this session, Ranjeeta Bha will explore the significance of CLV, how it's calculated, and the many factors that influence it such as customer acquisition costs, retention strategies, and revenue forecasting. We'll explore what makes customers quit—and how to predict it. Attendees will understand how to gain a comprehensive understanding of their customer base, as well as how emerging statistical and AI approaches can be used to estimate CLV.

There's no problem more existentially fundamental than climate collapse. Nations and businesses worldwide are scrambling to adapt, anticipate, and mitigate while dramatically reducing the impact they have on the planet. In this session, data and AI expert Navdeep Martin looks at how three organizations were already tackling these monumental changes—and how generative AI is changing their transformations.

Join the team from Moody's Analytics as they take you on a personal journey of optimizing their data pipelines for data quality and governance. Like many data practitioners, Ryan understands the frustration and anxiety that comes with accidentally introducing bad code into production pipelines—he's spent countless hours putting out fires caused by these unexpected changes. In this session, Ryan will recount his experiences with a previous data stack that lacked standardized testing methods and visibility into the impact of code changes on production data. He'll also share how their new data stack is safeguarded by Datafold's data diffing and continuous integration (CI) capabilities, which enables his team to work with greater confidence, peace of mind, and speed.

Women in AI experts will discuss why data matters for inclusion to be effective in the models being trained. Understanding not only the outputs for individuals, rather how outcomes impact broader communities is a key consideration. Continuously iterating and testing the models is critical to address gender inequities, and the panelists will explore industry use cases from the financial services sector, as well as disinformation in news and media.

In a rapidly evolving professional landscape, the integration of Artificial Intelligence and other disruptive technologies is reshaping the way we work. This talk by Sadie explores the seismic shifts in work culture, expectations, and roles for leaders, managers, and employees alike. In navigating these changes, the emphasis is on the necessity for a mindset of perpetual learning and curiosity. Sadie will provide actionable insights and recommendations to not just adapt, but thrive, in the next era of work. C-Suite Executives, Entrepreneurs, and Decision-Makers will come away better equipped to lead their organizations into a future that's already here. 

This session will guide you through the intricacies of data-driven decision-making, from how to start to highlighting the importance of assembling skilled teams and cultivating talent for innovation. Attendees can expect actionable insights on integrating data into strategic planning, optimizing team structures, and nurturing a culture of adaptability. You'll leave with a tangible roadmap on building a Business Reinvention plan. Revolutionize your approach to business strategy and propel your organization into a future of sustained growth and resilience.

In the fast-paced world of data driven decision making, organizations are grappling with the challenge of realizing insights as quickly and efficiently as possible. While data products have been quite a steady architectural pillar within data ecosystems, AI has recently taken the world by storm - helping to accelerate insights at a pace previously unimaginable. In this session hear from Fahad Ahmad, data science leader at Halliburton, about their strategy to transform Halliburton’s previous data swamp into a decentralized data mesh architecture utilizing open AI and data products to deliver real-time insights. Fahad will discuss eliminating fragile data pipelines, fast data-driven decision making on curated datasets, and the innovative usage of ChatGPT to expedite the creation of data products.

Discover the hidden power of feature engineering in revolutionizing machine learning performance. This talk explores how crafting informative features transforms model outcomes, offering practical techniques and real-world examples. From understanding data intricacies to optimizing model efficacy, learn why feature engineering is the ultimate key to enhancing machine learning success. 

Data virtualization had been held back by complexity for decades until recent advances in cloud technology, data lakes, networking hardware, and machine learning transformed the dream into reality. In this fireside chat, hear from authors of the new O’Reilly book Data Virtualization in the Cloud, Dr. Daniel Abadi and Andrew Mott, as they discuss in detail what data virtualization is and the trends in technology that are making data virtualization increasingly useful. Moderated by Starburst’s Field CDO Adrian Estala, the trio will explore the architecture of modern data virtualization systems and learn how these systems differ from one another at technical and practical levels.

While everyone's talking about AI, far fewer have deployed it successfully or turned technology into business outcomes. This panel changes that, bringing together Generative AI experts for a deep dive into the practical application of generative AI. From building new customer offerings to refreshing internal processes, the panellists will reflect on the importance of data quality, data security, the responsible use of data as well as change management when it comes to embedding generative AI into the business strategy.

Join our panel of experts in exploring the cutting-edge realm of Decision Intelligence and discover how it diverges from traditional Data Analytics and Business Intelligence, reshaping the landscape of strategic decision-making. Our panel explores real-world instances where Decision Intelligence catalyzed profound organizational shifts, yielding tangible results. This is a not to miss session examining the future of decision-making and how to harness balance between forecasting and human oversight for maximum efficiency! 

Step into the dynamic world of data governance, business operations, and artificial intelligence (AI), where the unsung hero—metadata—takes center stage. Just like the perfect sandwich relies on clear definitions of its ingredients, this talk unveils the indispensable role of metadata in defining and organizing data.

George will share captivating real-life stories and examples on how clarity in definitions and metadata not only streamlines operations but also empowers decision-makers with invaluable insights.

Explore the backbone of AI advancement through essential data management tools: the Business Glossary, Data Dictionary, Data Catalog, and Machine Learning Metadata Store. Let's embark on a journey where unified interpretations pave the way for accuracy, efficiency, and success in the data-driven era.