Agenda

Sharpen your leadership skills, refine your strategies and discover the latest technologies at Gartner Data & Analytics Summit 2023 in Orlando, FL.

Agenda / Tracks

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Agenda / Tracks

Monday, March 20, 2023 / 10:30 AM - 11:00 AM EDT

Keeping SCORE, Understanding Your D&A Maturity

Gartner's self-assessment tool for data and analytics maturity has been adopted by thousands of organizations. This session will look at some of the findings and provide best practices for how you can use the IT Score for Data and Analytics to improve your maturity. (This session will be helpful for organizations irrespective of whether they have already taken the assessment or not.)

Monday, March 20, 2023 / 10:30 AM - 11:00 AM EDT

CDAO AGENDA 2023 — Presence, Performance and Persistence

Presenting key findings of the 2023 Gartner CDAO Agenda Survey. Explore the business impact of the CDAO* role and/or the office of the CDAO. Understand the leadership traits of the most successful CDAOs and what distinguishes them from their peers.

Monday, March 20, 2023 / 12:15 PM - 12:45 PM EDT

The Foundation of Organization and Roles: From Control to Collaborate

This session will highlight the optimal data and analytics organization model to help organizations become more data-driven balancing centralized and decentralized functions. It will also help you understand how to support digital business with the must-have roles and emerging skills for your D&A teams. Key issues: What’s happening in data and analytics forcing change? What’s the impact on the DA organization? What’s the impact on DA roles, skills and culture?

Monday, March 20, 2023 / 02:30 PM - 03:00 PM EDT

How to Measure and Communicate the Value of Data Literacy

Data literacy is a new business competency and a requirement for digital dexterity. CDAOs must step up their leadership and use data literacy metrics as the basis for communicating the value of fostering a data-literate workforce.

Monday, March 20, 2023 / 02:30 PM - 03:00 PM EDT

Decisions: Can Data and Analytics Make Them Better?

We talk about data-driven decisions, but is that really what we want? Combining survey data with broader research in behavioral psychology, this session will provide an overview of how decisions are viewed within organizations, and how they can be improved using a combination of hard data and soft nudges.

Tuesday, March 21, 2023 / 09:00 AM - 09:30 AM EDT

Pragmatic Techniques to Foster a Data-Driven Culture

While "fostering a data-driven culture" is cited by many data and analytics leaders as a top priority, "culture" can be a very ambiguous idea to address. This presentation will provide a tangible list of components that make up data-driven decision making and a wealth of techniques that data and analytics organizations can use to drive change.

Tuesday, March 21, 2023 / 10:00 AM - 10:30 AM EDT

Change Management and Communication Unlock Data-Driven Business Value

CDAOs who effectively employ change management and communication techniques wield more influence and impact with their data and analytics strategies than those who do not. To be successful, chief data and analytics officers must address both data literacy (skills) and data-driven culture (will) among the workforce.

Tuesday, March 21, 2023 / 11:45 AM - 12:15 PM EDT

What Do CDAOs Need to Work on in 2023? People Skills!

Technology is the easy part of a successful data and analytics strategy. People are the difficult part. This presentation helps CDAOs build the right competencies for their organizations to deliver business value. Key issues discussed are: What are people skills? What skills are relevant for data and analytics? Which principles and habits should you apply?

Tuesday, March 21, 2023 / 11:45 AM - 12:15 PM EDT

How to Have an Engaging Conversation With Your CEO About Data and Analytics

Better engagement with senior business leaders requires data and analytics leaders to have sharper communication skills. This short session shows how improving the power of your listening, influencing and persuasion will lead to more engaging and actionable business conversations.

Tuesday, March 21, 2023 / 02:00 PM - 02:30 PM EDT

Partner With Software Engineering for Scale and Value

AI projects are equal parts analytics, data and code. To scale AI and achieve benefits, a partnership with software engineering is key — throwing API's 'over the fence' is not enough. This session will outline how to develop a collaborative and productive relationship and operating model with software engineering to obtain better business results.

Tuesday, March 21, 2023 / 04:00 PM - 04:30 PM EDT

How to Attract, Sustain and Retain Talent for Your Data, Analytics and AI Teams

Data and analytics leaders require the right people and skills to accelerate digital business and drive measurable outcomes. This session covers trends and best practices around managing and developing the entire skills mix necessary to build successful data, Analytics and AI teams. Key topics include: What are the best practices for attracting talent? How do you train and sustain talent? How do you retain talent?

Wednesday, March 22, 2023 / 10:30 AM - 11:00 AM EDT

So You Want to Be CDO?

Are you a technologist and aspiring CDO? Is someone seeking to hire a CDO? Or an in situ CDO seeking to derive greater organizational impact? This session covers the key traits a CDO must embody (or account for), expectations of the role, selling your particular brand value, managing stakeholders and what to do once you get there.

Wednesday, March 22, 2023 / 01:30 PM - 02:00 PM EDT

Engage and Influence Business Stakeholders Using Data-Enabled Storytelling

Data storytelling is about creating a shared vision and call to action through influential communication. Applying deliberate techniques to their data stories, chief data and analytics officers can improve the influence and impact they have with stakeholders to drive business value.

Wednesday, March 22, 2023 / 01:30 PM - 02:00 PM EDT

Advanced D&A Strategy: Learn From Top CDAOs How to Make the Biggest Difference

Frank Buytendijk, Distinguished VP Analyst, Gartner

What do top CDAOs do that makes them successful? Through our interview, we have looked for patterns and have found common characteristics that CDAOs have, along with common strategies that they create and execute, that lead to success. What can you learn from these top CDAOs that will help you with your leadership as well?

Wednesday, March 22, 2023 / 04:30 PM - 05:00 PM EDT

5 Hacks to Drive Pervasive D&A Usage

The biggest cause of D&A failure is that the users don't use the data, insights or tools to drive business value. Ensuring adoption is never easy, but there are some proven techniques to drive the pervasive D&A usage.

Monday, March 20, 2023 / 10:30 AM - 11:00 AM EDT

Data Ecosystems — Data Management in a Box; No Assembly Required

Data Ecosystems have emerged from the Cloud Service Providers (CSPs) and Independent Software Providers (ISVs) over the past few years. They offer an integrated set of tools for end-to-end data management for all data use cases, such as Analytics, ML, AI, Applications, Edge computing and more. Data Ecosystems will have a profound effect on data and analytics strategy, vendor and product choices and management of systems across clouds and hybrid.

Monday, March 20, 2023 / 10:30 AM - 11:00 AM EDT

Foundations and Essentials of Master Data Management

Business agility is afforded by a single, trusted, enterprisewide view of the data that describes the core entities of an organization: its customers, citizens, students, suppliers, products, locations and assets, for example. This session addresses essential considerations across people, process and technology in achieving and articulating tangible business value and sustainable governance.

Monday, March 20, 2023 / 12:15 PM - 12:45 PM EDT

Foundations of Self-Service Data Management

Growing demand for data has created a bottleneck. How can organizations satisfy the increasing needs of data users without overburdening their technical teams? Starting with self-service analytics, this session explores why more self-service capabilities — including self-service data preparation, self-service data quality and self-service data integration, are becoming a necessity.

Monday, March 20, 2023 / 12:15 PM - 12:45 PM EDT

The Practical Data Fabric — How to Architect the Next Generation Data Management Design

Organizations looking to invest in a future proof data management architecture must invest in the data fabric design. But most data and analytics leaders don't know where to begin, what the data fabric means for their business outcomes and how to extend existing logical data warehouse to support the data fabric design.

Monday, March 20, 2023 / 02:30 PM - 03:00 PM EDT

What Every CDO Should Learn About Data Management

Centralization of data management is not always a good idea, but sometimes it is. Enterprise data can use distributed and federated governance and let the owners do more than half of the governance work. In this session, we will cover the many false assumptions around data management, the resulting mistakes and how to avoid them.

Monday, March 20, 2023 / 02:30 PM - 03:00 PM EDT

Twelve Actions to Improve and Sustain Your Data Quality

High-quality, trusted data is critical for successful digital business initiatives. If data and analytics leaders are to enable a data-driven organization, they must take pragmatic and targeted actions to improve their enterprise data quality. There are 12 quick actions which help organizations not only achieve their data quality goals, but also sustain for the long-term value.

Tuesday, March 21, 2023 / 09:00 AM - 09:30 AM EDT

Avoid Data Lake Failures by Addressing Modern Lake Requirements

Most data lake failures result from underestimating project resources or omitting required technologies. Organizations underestimate skills, time, data volumes, design requirements, governance and adjusting their traditional experience to the new paradigm of the data lake. This presentation discusses the many requirements of the modern, multiuse data lake, so organizations can avoid failures.

Tuesday, March 21, 2023 / 10:00 AM - 10:30 AM EDT

The Active Metadata Helix: the Benefits of Automating Data Management

Metadata is generated practically every time data is accessed in any tool, platform or application. This is a largely untapped resource that is real-time documentation of exactly how, when and why any person in the enterprise uses data from any and all assets available to them. Active metadata is the conversion of these otherwise passive observations into ML-enabled, automated data management.

Tuesday, March 21, 2023 / 11:45 AM - 12:15 PM EDT

Technical Insights: Securely Extend Your Data Fabric to the Edge With Adaptable Digital Threads

A digital thread is a bidirectional data flow that links data from various sources across value chains. It is foundational to securely extend your data fabric pipelines in edge analytic environments. In this session, you'll learn how to deploy flexible digital threads as a method of extending and securing your data fabric customer question: How to securely extend data fabric to edge analytic environments in support of data management?

Tuesday, March 21, 2023 / 02:00 PM - 02:30 PM EDT

Data Fabric or Data Mesh: Debate on Deciding Your Future Data Management Architecture

The data mesh is touted as the next-generation data management architecture based on domain-driven, distributed data management. The Data Fabric, on the other hand, does not believe in rip-and-replace and looks to utilize existing data management infrastructure. Organizations looking to evaluate data fabric or the data mesh need practical guidance on the subject. This breakout session will be on an on-stage moderated debate among Gartner analysts who will aim to cover the same.

Tuesday, March 21, 2023 / 02:00 PM - 02:30 PM EDT

Graphs Are Everywhere — How to Leverage Graph Databases and Graph-Based Data Management Practices

Graphs are all around us and are used to solve real-world problems. Discover how a graph-based approach to modeling business problems provides a faster time to market with simplicity and elegance.

Tuesday, March 21, 2023 / 04:00 PM - 04:30 PM EDT

Data Lakes, Data Warehouses, Data Hubs and Now Lakehouses: What Are They and How to Choose

Confusion persists regarding the role of data warehouses, data lakes and data hubs — no complicated further with the “lakehouse.” While the names and terminology are less important than the principles and capabilities, D&A leaders need to know the capabilities, use cases and the value they provide.
• What are different data repository models in use today?
• What are the key differences between these models?

Wednesday, March 22, 2023 / 10:30 AM - 11:00 AM EDT

Be Equipped to Face the Emerging Trends in the Data Management Market

Innovations are entering the data management market rapidly. Some are merely a noise or rebranding; while some are truly transformational. This session leverages Gartner's Hype Cycle for Data Management focusing on selected innovations around infrastructure, operations, metadata and integration. Data and analytics leaders will be equipped with insights for the challenging market conditions.

Wednesday, March 22, 2023 / 10:30 AM - 11:00 AM EDT

Data Engineering Trends and Best Practices

How to apply data engineering principles, practices and patterns to build sustainable, secure, scalable and useful data lakehouses as part of their data platforms to build data-driven organizations

Wednesday, March 22, 2023 / 01:30 PM - 02:00 PM EDT

State of the Data Integration Market: Top Trends That Can Transform Your Data Engineering Practice

Data Integration is evergreen — it was always foundational to any resilient data management strategy. This session gives guidance on:
1. What are the key trends guiding the data integration market?
2. How should organizations evaluate and inculcate new data integration technologies in their data engineering portfolio?
3. What impact will these new trends have on their broader data management infrastructure and how to plan for it?

Wednesday, March 22, 2023 / 03:30 PM - 04:00 PM EDT

Data Observability: A New Trend You Need to Know for Building Reliable Data Landscapes

Data observability as an emerging technology provides the ability to understand the health of an organization’s data landscape, data pipelines, and data infrastructure by continuously monitoring, tracking, alerting, analyzing and troubleshooting incidents. Data and analytics leaders need to know what it is and how it can help to build a stronger data landscape, given the modern, complex and distributed data stacks.

Wednesday, March 22, 2023 / 04:30 PM - 05:00 PM EDT

Five Ways to Mature Your Data Engineering Practice

Analytics relies on a successful data foundation; it must be backed with the right data and processes.
Consumer demand for usable data has increased the need for data engineering. Data and analytics leaders can mature their data engineering practice by delivering data products, automating release processes, proving business value early, eliminating operations overhead and fostering collaboration.

Monday, March 20, 2023 / 12:15 PM - 12:45 PM EDT

Decision Intelligence and Optimization Across Your Enterprise and Ecosystem

Faster and optimal decision making is a competitive differentiator. But silo data, silo decisions and silo mentality are not cutting it in today's global and highly interconnected business ecosystems. A more networked approach is required, bringing together technologies such as optimization, graph analytics and AI. This session will provide practical guidance to bring your decision intelligence to the next level.

Monday, March 20, 2023 / 12:15 PM - 12:45 PM EDT

Data Storytelling: A Better Way to Engage Decision Makers With Data

Aura Popa, Sr Director Analyst, Gartner

Data storytelling offers a more engaging means of communicating findings than BI reporting or data visualization alone. This trend is an extension of the now dominant self-service model of BI, combining data visualization with narrative techniques. What is a data story? When and how should data storytelling be used? What new skills and techniques are needed to create compelling data stories?

Monday, March 20, 2023 / 02:30 PM - 03:00 PM EDT

How Language Technologies Are Reshaping the Foundation of Analytics and What to Do About It

For a long time, unstructured and structured approaches to analytics were separate platforms and applications. Hence, making sense of both words and numbers was difficult. A new crop of platforms including data fabrics, semantic AI, insight engines and conversational AI are changing the very foundations of analytics to bring words and numbers together. This session will outline how this multistructured analytics is evolving, the role of language platforms and your path to a richer analytics.

Tuesday, March 21, 2023 / 09:00 AM - 09:30 AM EDT

Real-Time Stream Processing and Data in Motion

W. Roy Schulte, Distinguished VP Analyst, Gartner

Pieter den Hamer, Sr Director Analyst, Gartner

Merv Adrian, VP Analyst, Gartner

Organizations are using more of their data in real time to improve situational awareness and make better business decisions. Streaming and other real-time analytics are not rocket science — every data and analytics team can add them to its repertoire to improve their organization’s business results. When is real-time the "right time?" How do stream analytics differ from conventional BI and ML?

Tuesday, March 21, 2023 / 02:00 PM - 02:30 PM EDT

Use Composable Data and Analytics to Build Modular Business-Oriented Analytics Experiences

Analytics capabilities become modular with low- and no-code capabilities introduced into solutions enabled by data fabric. Organizations can compose the building blocks to build tailored analytics experiences rather than monolithic applications. This session will help data and analytics leaders use composable data and analytics to bridge application development, bringing insights into actions.

Tuesday, March 21, 2023 / 04:00 PM - 04:30 PM EDT

Emerging Practices for Decision Intelligence: The Next Leap for Data, Analytics and AI

Decision intelligence is quickly gaining traction as the discipline that aims to bridge the gap between analytics and decision making. But how to make decision intelligence a reality? Where to start, following which approach? How to go about the reengineering and modeling of decisions? Which decision intelligence platforms are available? This session will address these and other emerging practices to improve your business impact.

Tuesday, March 21, 2023 / 04:00 PM - 04:30 PM EDT

7 Fatal Flaws of Self-Service Analytics

Self-service analytics are rarely implemented successfully. To maximize its value, data and analytics leaders should certify and catalog D&A assets, promote cross-functional collaboration, optimize their tools portfolio and enable adaptive governance for analytic content in various phases.

Tuesday, March 21, 2023 / 04:00 PM - 04:30 PM EDT

Top Trends for Data and Analytics in 2023

AI is not the only thing driving rapid change in D&A. There is a rapid evolution in how and where analysis can be deployed, from the next generation of augmented UXs and beyond; composing and operationalizing D&A at scale; engineering decision intelligence; and relating everything; to enabling D&A at the edge. Understanding the business impact of these changes will allow organizations to resource optimize, accelerate change, drive innovation and transform society over the next three years.

Wednesday, March 22, 2023 / 10:30 AM - 11:00 AM EDT

AI and Customer Analytics — Now and Next

Improving customer experiences and relationships is one of the largest drivers of analytic adoption. Despite an increasing number of organizations leveraging AI techniques, few have rethought their approach to customer relationships. Join this session to learn how organizations can use these tools to improve customer intimacy.

Monday, March 20, 2023 / 10:30 AM - 11:00 AM EDT

The Foundation of a Modern Data and Analytics Strategy

Frank Buytendijk, Distinguished VP Analyst, Gartner

Meet the updated and improved "D&A Strategy and Operating Model" (DASOM). It is tried and tested and now includes the most recent insights from thousands of client interactions, such as what a modern D&A strategy looks like and how you can make sure the strategy leads to tangible and measurable business outcomes.

Monday, March 20, 2023 / 10:30 AM - 11:00 AM EDT

Optimize Your Cloud Spending Strategy for Uncertain Times

An extended period of economic uncertainty appears to be all but inevitable. Chief data and analytics officers must help CFOs and other stakeholders explore the cloud’s agility to survive and thrive amid economic turmoil. Effective cloud resource allocation requires collaboration across domains of expertise to initiate FinOps practices.

Monday, March 20, 2023 / 10:30 AM - 11:00 AM EDT

Ten Great Examples of Analytics in Action

Join this session to learn about some of our favorite examples of how organizations are using analytics to deliver business value.

Monday, March 20, 2023 / 12:15 PM - 12:45 PM EDT

Technical Insights: Deploying D&A Architecture in Cloud Platforms of AWS, Azure and GCP

Cloud platforms provide unique challenges and opportunities to design and architect an optimal D&A architecture resolving through complex data management and analytics use cases. This session provides detailed insights into the various components of AWS, Azure and GCP to create reference architectures for deploying an integrated and cohesive D&A ecosystem that includes native, hybrid and multicloud use-case scenarios.

Monday, March 20, 2023 / 12:15 PM - 12:45 PM EDT

Customer Data Platforms (CDPs): Beyond Marketing — Leveraging Customer Data to Elevate CX

CDPs were created for marketers to be managed by marketers, but in many cases have not fulfilled the promise of unifying customer data to improve customer experience. In this session, we will cover how to get the most value from CDPs, how organizations have leveraged CDPs across the enterprise beyond marketing and best practices in organizing the right teams for success.

Monday, March 20, 2023 / 02:30 PM - 03:00 PM EDT

How Data and Analytics Leaders Can Use a Four-Step Approach to Combat Inflation During Negotiations

Melanie Alexander, Sr Director Analyst, Gartner

Inflationary times and economic headwinds create added complexity when negotiating with vendors. Cost modeling using data points from economic indicators such as CPI and ECI is critical to effectively analyze the fairness of increases. This session will use vendor proposal scenarios to walk through and demonstrate how Data and Analytics Leaders should include these models in their negotiation strategy and playbook to optimize deals.

Monday, March 20, 2023 / 02:30 PM - 03:00 PM EDT

Leverage Data and Analytics Ecosystems for Adaptability, Speed and Lower Cost

Driving by cloud, historically end-to-end, but silo'd data and analytics platforms are converging into seamlessly integrated data and analytics and application workflows enabled by the rise of data and analytics ecosystems. In this session, you will learn how this market dynamic will help you build agility and scale data-intensive applications that drive business impact.

Tuesday, March 21, 2023 / 11:45 AM - 12:15 PM EDT

Smart Analytics for Even Smarter Cost Optimization

As we enter an unprecedented global depression, organizations will be desperate to save every cent, penny and whatever that they can. This session will explain how analytics can help.

Tuesday, March 21, 2023 / 11:45 AM - 12:15 PM EDT

Scale Data Reuse and Resharing for Business Value Without Perfect Trust

D&A leaders know that data reuse and resharing accelerates business value, but face emotional resistance, even when using synthetic data, including fear of downstream data misuse. By establishing situational, not perfect, trust across data ecosystems, whether internal, external or a marketplace, D&A leaders can remove emotional distractions while scaling data reuse and resharing to deliver maximum benefit.

Tuesday, March 21, 2023 / 02:00 PM - 02:30 PM EDT

Rethinking Your Elusive Quest for Business Value

Most of our clients across practices struggle to create and demonstrate their value to the organization. This session covers how to use Gartner's enterprise value equation framework to help you to optimize enterprise value for both for-profit and not-for-profit organizations and make D&A strategic to your organization's success.

Tuesday, March 21, 2023 / 04:00 PM - 04:30 PM EDT

Technical Insights: Developing an Effective Cloud D&A Migration Strategy

Organizations move to the cloud for different reasons and require justification — especially when migrating from on-premises to the cloud.
A well-thought approach to migrating the data and analytics platform to the cloud can maximize cost savings and reduce the ability to take full advantage of the cloud services and service provider capabilities in cloud analytics deployments.

Tuesday, March 21, 2023 / 04:00 PM - 04:30 PM EDT

Digital Ethics: Dealing With All the Data Dilemmas

Frank Buytendijk, Distinguished VP Analyst, Gartner

"Do we collect as little data as possible to realize our goals or do we collect as much data as possible for potential future use?" This is only one of the data dilemmas to consider. Dilemmas may look difficult, but often can be solved elegantly. Not through a process of analysis, but synthesis. Which dilemmas do we see in data, analytics, AI and other related fields, and how can you deal with them?

Wednesday, March 22, 2023 / 10:30 AM - 11:00 AM EDT

Top Data and Analytics Predictions, 2023

Gartner's top predictions for data and analytics provide a forwarding looking perspective on how markets, skills and organizations will evolve to help you build a data and analytics strategy to return to growth, drive innovation and create value from uncertainty.

Wednesday, March 22, 2023 / 01:30 PM - 02:00 PM EDT

Gartner Futures Lab: Reengineering Decision Making, 2025

Pieter den Hamer, Sr Director Analyst, Gartner

Frank Buytendijk, Distinguished VP Analyst, Gartner

Gareth Herschel, VP Analyst, Gartner

D&A has gone full circle. We're back at decision support, discussing more data-driven decisions that are much more concrete than before. It was hard to measure the business impact of a better decision; there is no parallel universe to test another decision. In this visionary session, we will explore how new insights and innovations create a more direct and measurable link between making decisions more data-driven and concrete business outcomes.

Wednesday, March 22, 2023 / 03:30 PM - 04:00 PM EDT

Articulating the Value of a D&A Initiative in Four Easy Steps

One of the most common challenges affecting data and analytics functions is how to explain the value of their data and analytics efforts. This presentation will provide four techniques to get from ambiguous, intangible value to concrete, measurable impact.

Wednesday, March 22, 2023 / 04:30 PM - 05:00 PM EDT

Evaluating & Selecting D&A Service Providers

A big part of your success is determined by people who don't work for the organization namely, consultants, systems integrators outsourcers. Over 90% of organizations utilize service provider across their D&A landscape. The depth and breadth of the service provider landscape is complex, extensive and difficult to navigate. Worldwide D&A service market is over $167 billion in 2022, and growing at double digits. This session offers a practical guide for finding, evaluating and selecting providers.

Monday, March 20, 2023 / 10:30 AM - 11:00 AM EDT

Foundations of AI — Still Confused? A Minimal Viable Knowledge Set to Get Started With AI

Erick Brethenoux, Distinguished VP Analyst, Gartner

Pieter den Hamer, Sr Director Analyst, Gartner

Svetlana Sicular, VP Analyst, Gartner

This session will provide a high-level introduction to artificial intelligence (AI) and its practical impact on the organization. It will include key definitions, major trends, organizational and governance issues, and an overview of AI techniques. How to pragmatically introduce AI techniques in the organization to solve complex business problems? What are the steps to take (and to avoid) while implementing AI techniques? What are the AI best practices of organizations that are applying AI strategically?

Monday, March 20, 2023 / 10:30 AM - 11:00 AM EDT

Data and Analytics Governance: Foundations and Prospects

Traditional data and analytics governance that focuses only on policy and compliance is now obsolete for digital business. If organizations wish to make progress toward modern approaches, such as adaptive governance, they must have the right foundations in place. This session discusses what these foundations are, and how they enable the future of data and analytics governance.

Monday, March 20, 2023 / 12:15 PM - 12:45 PM EDT

Recipes for AI Maturity Learned From Known Successes and Mistakes

(This will be based on the new AI Score) How can organizations increase their AI maturity level, find the next best actions and avoid common mistakes? Use Gartner AI maturity model and insights to accelerate and optimize your AI strategy and implementations to achieve the best value, reduce risk and get to scalability quicker in AI programs. Learn how advancing AI maturity is beneficial not just for the AI teams but also for the business.

Monday, March 20, 2023 / 02:30 PM - 03:00 PM EDT

The Foundation of Data Science and Machine Learning: Delivering Value in the Age of AI

This session will provide a high-level introduction to data science and machine learning (ML) and their proper function in a data-driven organization. It will include key definitions, major trends, data science talent personas and an overview of leading technologies. How do data science and ML fit within the organization’s analytics and AI strategies? What are the early steps D&A leaders should take to invest in data science and ML?

Tuesday, March 21, 2023 / 09:00 AM - 09:30 AM EDT

AI Implementation: The Path Toward Greener Future

The impact of AI is much wider than some specific use cases or industries. With the increased focus on sustainability, organizations are working on ways to increase their energy efficiency while at the same time minimizing their carbon footprint and costs related to it. AI is one of the enabler for meeting these sustainability goals.

Tuesday, March 21, 2023 / 10:00 AM - 10:30 AM EDT

Level Up AI by Applying Software Engineering Best Practices to MLOps

A robust AI platform architecture is critical to the success of AI initiatives. AI workflows require deep familiarity with past iterations, and data, whereas software engineering practices are often focused on short term projects with little focus on the past. Come to this session to see where and how to apply software engineering best practices to AI.

Tuesday, March 21, 2023 / 11:45 AM - 12:15 PM EDT

The Logical Feature Store: Managing Data for ML

Productionizing ML models remains a significant challenge for enterprises as they scale ML operations to hundreds or thousands of models. These organizations benefit from implementing a logical feature store to manage data for ML. Logical feature stores accelerate time to production and promote feature reusability, reproducibility and reliability.

Tuesday, March 21, 2023 / 11:45 AM - 12:15 PM EDT

Real-Time AI and Decision Intelligence

Many decisions cannot wait until tomorrow, especially in customer interaction, logistics, production and supply chain management. Business responsiveness is critical in times of ever more digitization, global business ecosystems and more disruptions. But how to go about the implementation of real-time use cases? How do they come together in decision intelligence, and what are best practices to apply this effectively?

Tuesday, March 21, 2023 / 02:00 PM - 02:30 PM EDT

The Future of AI

Thousands of models in companies. Commonplace conversational AI in consumers' lives. New technologies that promise better AI with less data that makes it more useful for smaller projects. Artificial intelligence is bursting into business applications, organizations' analytics strategies and consumers' expectations. Set your priorities so that you'll be in its scaled-up future.

Tuesday, March 21, 2023 / 02:00 PM - 02:30 PM EDT

How to Improve the Performance of Stalled AI Projects

Data and analytics leaders often see their AI projects stall — either right from the start or after deployment. In this presentation, we will cover a wide range of AI performance accelerators that can help push stalled AI projects into production, or raise their performance to the next level.

Tuesday, March 21, 2023 / 02:00 PM - 02:30 PM EDT

Decision Intelligence Platforms — No Excuses for Bad Decisions Anymore

Erick Brethenoux, Distinguished VP Analyst, Gartner

Pieter den Hamer, Sr Director Analyst, Gartner

W. Roy Schulte, Distinguished VP Analyst, Gartner

AI software platforms are evolving. The AI operationalization phase is giving way to the next evolution of AI software based on composite AI. Analytics needs process mapping to operationalize its insights; the process needs data to get smarter. To build adaptable and resilient systems, organizations should reassemble their decision mechanisms through practical decision intelligence techniques.

Tuesday, March 21, 2023 / 04:00 PM - 04:30 PM EDT

All Data Is Biased! Can We Make AI Models Unbiased?

Many organizations have hit the news headlines due to biased AI models. The bias may be related to source data, modeling practices or may be a manifestation of its use. Data scientists struggle with solving the "bias" problem. At the same time, the problem gains urgency due to regulations requiring fairness in decision making. This session walks through the various techniques that are available to mitigate bias in AI models.

Wednesday, March 22, 2023 / 10:30 AM - 11:00 AM EDT

The Future of Data Science and Machine Learning: Critical Trends You Can't Ignore

Understand key trends influencing the future of ML and data science. Get an insight in emerging ML capabilities that seemed outlandish just a few years ago, but are shaping the future of AI now. Learn about new roles and complementing data science with ML engineering.

Wednesday, March 22, 2023 / 10:30 AM - 11:00 AM EDT

Forbidden Questions Bold Data Engineers Should be Discussing With AI Aficionados

Every AI effort begins with data, uses data, fixes data, and delivers assertive decisions and outcomes. Data engineers are expected to assure that data used in everything from simple recommendation bots to highly sensitive interactions that include significant risk issues. In this session, we cover the top data management concerns that must be covered when deploying AI solutions.

Wednesday, March 22, 2023 / 01:30 PM - 02:00 PM EDT

Achieve Strategic Value in AI With Seven Practices

Realizing the value and reaping the benefits are the top issues facing leaders executing AI projects. The seven keys distilled from successful pioneers will enable leaders to productize AI at scale and unlock value from their AI initiatives.

Wednesday, March 22, 2023 / 01:30 PM - 02:00 PM EDT

Why Your Next Data Science Project Should Use Graph Analytics and Machine Learning

Top tech companies have utilized the power of graphs to power everything from fraud detection systems to recommendation engines and are now finding their way into use cases across industries. This session will introduce the concept of graph analytics and the algorithms used for finding hidden insights in your data that enhance decision making by making context king.

Wednesday, March 22, 2023 / 01:30 PM - 02:00 PM EDT

Five Steps to Create a Productive Analytics and AI COE

Data and analytics leaders and technical professionals are struggling to scale, staff and operationalize analytics and AI initiatives. Attend this presentation to learn how a center of excellence can identify business-relevant use cases, create the right roles and skills, and establish a governance framework to mitigate analytics and AI risks.

Monday, March 20, 2023 / 12:15 PM - 12:45 PM EDT

Deploy Data and Analytics Governance Effectively to Drive Better Decisions

The often-difficult territory of initiating a data and analytics governance initiative must be revisited under new compelling perspectives on deployment models and technology. In this session, we address how data and analytics governance can tune its approach, leverage new technology capabilities and connect the objectives to better decision-making for continuous improvement.

Monday, March 20, 2023 / 02:30 PM - 03:00 PM EDT

Executive Guide to Applied Observability

Applied observability is powerful and differentiated because it elevates the strategic importance of observable artifacts in a highly orchestrated and integrated approach from an “actual” stakeholder action to proactively planned business decision. Bring together all your learnings of "data, applications, API" and other observability building blocks to strategically apply all these parts into the alignment of several different investments.

Tuesday, March 21, 2023 / 10:00 AM - 10:30 AM EDT

Responsible AI: From Bias and Privacy to Compliance and Risk Management

The responsible, ethical use of AI is essential to its success. This session will not only explore the meaning of responsible AI, but will also address the integral approach that is needed to make responsible AI practical, including topics like digital ethics, risk management, bias mitigation, privacy protection, governance, skills, guidelines and tool support for AI practitioners.

Tuesday, March 21, 2023 / 11:45 AM - 12:15 PM EDT

Develop an AI Governance Strategy to Balance Value and Risk

AI governance is increasingly important to scaling AI initiatives. It makes AI a positive force, rather than a threat to society and to itself. .AI governance topics include organization structures, AI testing and validation, and Responsible AI. It helps manage the business and societal value, risk, trust, transparency and accountability.

Tuesday, March 21, 2023 / 02:00 PM - 02:30 PM EDT

Financial Governance and FinOps in Cloud: Avoid an Unpleasant Conversation With Your CFO

Data and analytics leaders using cloud-based solutions are often surprised by cost overruns. A continuous and iterative approach to financial governance — embodied in the emerging practice of FinOps — is required. Proactive, reactive and product-specific measures are foundational and serve as the basis for new approaches. Augmented FinOps provides a view of emerging future capabilities.

Wednesday, March 22, 2023 / 10:30 AM - 11:00 AM EDT

Dangerous Data: Can’t Live With It, Can’t Live Without It

Dangerous data is data that exposes the company to the threat of serious legal or brand impact, but is unavoidably collected for other business purposes. This ability to identify data liability and not just treat data as a pure asset is critical to managing D&A risk.

Wednesday, March 22, 2023 / 01:30 PM - 02:00 PM EDT

What You Need to Do About New AI Risks

Detecting and stopping compromises against AI requires new techniques and organizational structures. Malicious attacks or benign AI compromises lead to different organizational harms and losses — financial, reputational theft of intellectual property, or compromise of sensitive data, to name a few. New tools and organizations are needed to mitigate their harm. Gartner presents a framework for managing AI trust, risk and security.

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