New York CDAO Virtual Executive Summit

As companies accelerate digital transformation governance of data and analytics needs to shift from being compliance centric to business value centric. CDOs are the key persona to help organizations evaluate the balance between risk mitigation and data democratization.

Join in this interactive boardroom to discuss:

• Adapting the operating and governance models to balance data sharing and value with compliance and control
• How to leverage new curation techniques to increase understanding and trust
• How to leverage new consumption techniques to accelerate transformation and innovation

In an era of digitization,  risk exposure has increased rapidly due to the nature of transitive risks and dependencies driven by both connectivity and interdependence. In today’s world, it is clear that harm is no longer just the externally visible fire and flood; it underscores non-damage business interruption. CDOs have the opportunity to play a key role in combating these uncertainties with data-driven insights and strategies which will serve to increase transparency and protect their organizations.

Join us for this in-depth session as data and analytics leaders discuss:

• How to navigate disparate data sources to find applicable insights
• Building a shared understanding of dynamic risks across the organization
• The pivotal role of CDOs in transforming risks into operational advantages

As companies implement AI strategies at scale, they are faced with a number of challenges from piecemeal application of AI systems to mistrust and inherent bias. How then should CDOs approach distinguishing the markers of predictive intelligence within the organization, solving foundational challenges and transforming business opportunities into business value with maximum ROI?

This session will discuss strategies for:

• Improving data collection, organization and analysis to modernize your data and take advantage of AI capabilities
• Developing strategies for disseminating quality data throughout the enterprise for better business processes and faster insights
• Identifying quick-value opportunities for strategic AI initiatives throughout the enterprise

It’s only a matter of time until organizations are entirely cloud-based. However, with more than half of organizations planning to adopt more than one cloud data platform in the next two years, DataOps and automated data access governance will be critical for breaking down data silos and ensuring analytics data does what it’s supposed to: drive business results.

Join Immuta and Aon for a session where you’ll learn:

• The three biggest challenges for DataOps teams managing cloud data platforms and how to avoid them
• Why traditional approaches to data access governance will become obsolete as real-time data analytics become necessary to compete
• How Aon provides self-service data access and automated security across cloud data platforms, enabling collaborative data use and innovation at scale

Don't miss this opportunity to meet with CDO practitioners and industry thought leaders who shared their insights on the agenda. Come with questions and get ready to meet new friends in this casual session designed to foster peer connections and collaboration in the New York community. 

The COVID-19 crisis and subsequent social and economic impacts have created even greater conditions of uncertainty. It is more critical than ever for organizations to increase agility and make smarter business decisions.

In this session you will discuss:

• Tactics for creating agile data and analytics strategies to deliver a competitive advantage
• Maximizing the ROI from data science and MLOps investments
• Improving model velocity -- or the end-to-end pace by which models are developed, deployed and managed

With the growing spotlight on data usage, data protection and responsible AI are now business imperatives. Hear how data leaders can implement responsible AI policies while balancing the needs of the business with ethical data use practices.

This boardroom discussion will explore:

• Addressing ethical challenges in AI for earning stakeholder trust
• Developing an organizational plan to address shifting regulations
• Managing the legal, practical and ethical consequences of responsible AI

Data leaders have immense quantities of data at their fingertips; but the volume, variety and speed of which data sources continue to grow make it impossible to manage manually, leading to necessary automation for effective data management. Enriching traditional data catalogs with automation and machine learning capabilities enable CDOs to champion successful data management strategies.

In this session, you will discuss:

• Empowering collaboration and trust in data through strategic data stewardship
• Best practices for cleaning the data environment to reduce risk and the cost of storing data
• Methods for utilizing ML & AI to create a comprehensive data environment for data intelligence

To achieve the desired quality of insights, data and analytics leaders need to focus on smart, non-exhaustive data management strategies and scalable systems. Data warehouse automation is a valuable way to rapidly ingest and utilize data to achieve better outcomes and higher ROI – but this requires a methodology that supports business requirements and accelerates productivity, decision-making, and business intelligence projects.

Join this session to discuss:

• Strategies for identifying quick value-add opportunities stemming from enterprise-wide data integration
• Methods for automating common workflows and core business processes to gain faster insights within an integrated cloud data warehouse
• Best practices for driving confident decision-making based on access to trusted data

You’ve pursued cloud modernization for your infrastructure, applications, and analytics to capitalize on growth opportunities as pent up demand gets unleashed. Today’s data leaders are challenged to re-envision business models, optimize operations with finite budgets, and convert innovations into scalable capabilities. Now more than ever, companies are facing increased competition and seeking innovative ways to remain at the top of their industries. In a cloud-first world the only thing you own to drive competitive differentiation is your data. How you manage and use it determines whether you become an industry disruptor, or get left behind.

Join this session to:

• Brainstorm business strategies for diverse data management and governance demands in tight financial environments
• Debate organizational approaches to flexible and agile data operations to keep pace with evolving business needs
• Discuss methods for operationalizing cost reduction processes at scale for maximum ROI

Meet virtually for in-depth conversations with your colleagues