Data & Analytics Live schedule

This session will explore the critical steps and strategies necessary for breaking down data silos within an organization with a focus on the immediate actions to enhance data accessibility, improve decision making, and foster a collaborative, data-driven culture. 

As companies look to scale AI applications across their organizations, they are struggling to do so in a secure and centralized manner. They often find it hard to scale delivery of relevant AI apps, monitor those apps, and ensure they fit in with existing frameworks and investments. Join this session to learn more about how DataRobot and AWS SageMaker can be used to securely scale development and delivery of AI solutions exactly where users need them.  

• Leverage your existing business data and infrastructure investments to build AI apps 

• Streamline the process of delivering tailored AI solutions where your users work 

• Ensure governance and observability with robust monitoring and guardrails 

Speakers:  

- Shun Mao, Sr Solutions Architect, AWS 

- Chris deMontmollin, Product Marketing Manager, DataRobot 

• Explore the ethical considerations and implications of using AI in data analytics, especially in regulated industries. 

• Gain insights into building a robust data governance framework that prioritizes privacy and security, addressing data privacy concerns. 

• Understand the role of automation in ensuring consistency and transparency in AI governance. 

• Delve into the importance of data in driving ethical AI outcomes. 

Moderator: Emma McGratten, CTO, Actian 

Speakers:

- Shadaab Kanwal, ex-Managing Director Digital, Data and Analytics, Charles Schwab 

- Robert Keefer, Associate Director, Security Operations, The Pew Charitable Trusts

- Jide Adeyode, Director, Business Intelligence, goEasy

Learn how to use data lineage and observability practices to control costs and optimize performance with zero effort and minimal resources. Guy Biecher, CTO of Seemore Data, will demonstrate how to overcome fragmented processes and align data teams to achieve efficiency across the modern stack. 

• Strategies for continuous monitoring and usage analysis to achieve long-term cost control and performance optimization. 

• How data teams can use end-to-end optimization tools to build smarter data products that align with business needs. 

• Why data lineage is critical for driving ownership, alignment, and shared responsibility across data teams. 

• Tools and best practices for effortless data efficiency, budget and resource allocation, and overall data ROI optimization. 

• Learn how to build and manage scalable data lakes that handle unstructured data effectively. 

• Discover how AI and machine learning can automate data processing and uncover hidden insights. 

• Explore ways to integrate unstructured data with structured datasets for more comprehensive analysis. 

• Hear real-world examples of how unstructured data is transforming decision-making and operational efficiency. 

Moderator: David. A. Mascio, PhD, Chief Executive Officer & Chief Investment Officer, Della Parola/ Director of Fintech Research Centre, University of Florida 

Speakers:

- Victor Tewari, Senior Vice President, Wealth Management & Private Banking, Chief Data Office, Citi

- John Chan, Director of Technology - AI/ ML, Raymond James

Join us for an exciting virtual session where leading innovators in data analytics come together to discuss how businesses can unlock smarter, faster, and more actionable insights. Featuring experts from Pecan, Gyaan, and Skan, this highly interactive session is designed to prioritize your questions and foster meaningful dialogue about the latest advancements in predictive analytics, decision intelligence, and process mining. 

What to Expect: 

• Predictive Analytics with Pecan: Learn how Pecan's AI-driven platform enables organizations to forecast outcomes, optimize strategies, and make better decisions without relying on complex coding. 

• Make the unstructured, structured with Flexor: Discover how Flexor’s SQL-native platform unlocks insights from text data, enabling seamless analytics and AI-ready datasets. 

• Process Intelligence with Skan: Dive into how Skan's process intelligence technology maps and analyzes your workflows to streamline operations and improve efficiency. 

Make the Most of This Session: 

Submit your questions in advance during registration or bring them live to the discussion. Our panelists will focus on answering your most pressing challenges and providing practical takeaways to harness the transformative power of analytics in your organization. Whether you’re a data scientist, business leader, or operations professional, this session will leave you inspired and equipped with actionable insights. 

Boardroom Host: Victoria Kinnealey, Portfolio Strategic Development, Dell Technologies Capital

Speakers:  

• Zohar Bronfman, Founder, Pecan 

• Or Zabludowski, Founder, Flexor 

• Avinash Misra, Founder, Skan 

• Explore how to assemble and empower effective data analytics teams with the right people, processes, and planning tools. 

• Learn about essential platforms, including user experience and backend analytics tools, and processes like data intake, cataloging, and RACI frameworks to ensure operational excellence. 

• Understand key production steps, from report delivery to insight walkthroughs, to drive impactful decision-making. 

• Discover how to leverage data science to make accurate predictions, deliver key takeaways, and showcase success stories for measurable business value. 

• See a case study on how data and AI analytics are used to enhance customer experience. 

• Learn practical strategies for personalizing customer interactions using data and AI insights. 

• Understand the impact of data-driven decision-making on customer satisfaction and loyalty. 

• Learn the fundamentals of data governance and its role in driving business success. 

• Discover how to implement data governance practices that ensure data quality and compliance. 

• Understand the benefits of democratizing data for better decision-making across teams 

• Discover best practices for attracting and retaining top talent in the highly competitive field of data analytics. 

• Learn how leading organizations are overcoming the talent recruitment and skill gap, a key barrier in 2025 and beyond. 

• Explore strategies for ensuring executive leadership alignment with data-driven initiatives, building a strong data culture that permeates the organization and fosters responsible AI practices. 

Moderator: Ben Donlon, Managing Partner, Banks to Your River 

Panelists:

- Chandra Donelson, Chief Data and Artificial Intelligence Officer, United States Space Force 

-  Cindy Tu, Director of IT & Data Audit, Discover Financial Services 

- Tarun Sood, CDO, American Century Investments

Generative AI is a revolutionary, not evolutionary technology.  It represents the democratization of AI due to the ease with which it can be put to use.  However, that low barrier to entry means that it is also very easy to create unreliable solutions that give misleading results.   Navigating this path effectively requires a deep partnership between technical and business teams.  By describing the journey we took, the tools we've built so far, and where we are heading, we can potentially inspire other organizations to take the plunge. 

•  Gen Ai is very accessible because the barrier to entry in building tools is very low 

• Gen AI tools need to be designed with features promoting visibility into how they are being used and deployed in a way that incorporates continuous feedback from users 

• Gen AI is "Generative" AI NOT "General" AI, it is powerful but can only be used effectively in a specific class of use cases 

• You don't really have a choice: Gen AI is happening; the locomotive is moving down the track already so you can be on top of it or in front of it 

To follow ... 

• The balance between the AI risks and rewards as calculus for the future. 

• The landscape of AI risks. 

• Best practices for approaching AI risk mitigation.