AI-Ready Data Provides the Foundation for Generative AI Success

11/07/23 • 25 min

This episode of the D-Suite focuses on preparing for generative AI success by creating solid data foundations including data quality, data governance and metadata management. The three sections of the vodcast include:

A discussion on the current best practices for usage of enterprise data with generative AI models
An interview with Roxane Edjlali, Gartner Senior Director analyst, on the importance of data quality and the role of the data fabric in generative AI success.
An interview with Alex Bates, Insights and Data Director at Page Group, on how they were able to deliver a generative AI solution to their front line staff, resulting in significant time and cost savings.

00:00:00 AI Ready Data is Crucial to Generative AI Success

Generative AI requires more than just using AI models, especially when they need to use enterprise data. In this video, experts Rita Sallam and Afraz Jaffri direct data and analytics leaders to build the key components of AI-ready data

00:06:58 The Impact of Generative AI on Data Management

Generative AI will have a lasting impact on the processes, skills and technologies used for data management. In this video, expert Roxane Edjlali provides insight into how data and analytics leaders can prepare for this change.

Roxane Edjlali, Senior Director Analyst

Roxane Edjlali is a Senior Research Director, focusing on data management strategies, supporting organizations to achieve effective uses of data in order to maximize business value. With digital business transformation, data management is becoming a crucial discipline to organizations. Ms. Edjlali supports Data and Analytics leaders in achieving data management excellence by providing guidance on strategies, organizational models, practices and technologies. More specifically Ms. Edjlali addresses emerging data management challenges such as data management in support of machine learning and artificial intelligence or impact of generative AI and LLMs on data management.

00:14:27 How AI Ready Data Drives Generative AI Innovation

Organizations are investing in Generative AI and keen to see big returns. In this video, Alex Bates, Insights and Data Director at Page Group, shares how they were able to create a Generative AI application for their employees resulting in an 80% reduction in time taken for one of their key business processes.

Alex Bates, Managing Director - Group Data Insights & Activation at PageGroup

Alex Bates is Managing Director - Group Data Insights & Activation at PageGroup, a FTSE 250 global recruitment business operating in 37 countries. His background, working across a diverse range of B2B and B2C organisations in both data and marketing, has helped to inform his progressive approach to defining an innovative data transformation strategy with a focus on driving commercial value from data. Within his current remit he has re-defined the role of data management and governance, developed and launched a suite of insight products used across the organisation, and established a ‘data lab’ to test innovative products using advanced analytics, automation and AI. Alex challenges conventional thinking when it comes to the opportunities presented with data and technology, most-recently incorporating GenAI and internal knowledge bases to automate the creation of job adverts.

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All content provided by other speakers is expressly the views of those speakers and their organizations.

A discussion on the current best practices for usage of enterprise data with generative AI models
An interview with Roxane Edjlali, Gartner Senior Director analyst, on the importance of data quality and the role of the data fabric in generative AI success.
An interview with Alex Bates, Insights and Data Director at Page Group, on how they were able to deliver a generative AI solution to their front line staff, resulting in significant time and cost savings.

00:00:00 AI Ready Data is Crucial to Generative AI Success

00:06:58 The Impact of Generative AI on Data Management

Roxane Edjlali, Senior Director Analyst

00:14:27 How AI Ready Data Drives Generative AI Innovation

Alex Bates, Managing Director - Group Data Insights & Activation at PageGroup

All content provided by other speakers is expressly the views of those speakers and their organizations.

Previous Episode

How to Build and Establish Your Personal Brand as a D&A Leader

00:00:00 How Can D&A Leaders Build Their Personal Brand?

00:06:03 How Can D&A Leaders Make the Transition from ‘Tech’ to ‘Exec’?

Sarah James, Senior Research Director, Gartner CDAO Practice

Sarah is a Senior Research Director in Gartner’s CDAO practice, where she focuses on topics at the intersection of data and human behavior — CDAO impact and influence, data-driven culture development, bringing people along on the data journey, self-development, disrupting legacy thinking, neurodiversity, and more. A data and analytics leader, educator and transformation expert with 22 years’ experience building data and analytics strategy and capability across multiple industries, Sarah is a passionate advocate of data and analytics value. She is skilled at influencing and negotiating at all levels of business; successfully engaging a large, disparate customer base; and effectively linking technical and nontechnical audiences. She is also a qualified executive coach and mentor and loves to bring these skills into her work.

00:13:40 What Does It Take to Succeed as An Executive D&A Leader?

Troy Carmichael, Chief Data Officer at Renasant Bank

Troy has been in technology and operations for most of his professional career and has worked in multiple industries, including financial services, healthcare and energy. He brings a passion for people and data to all that he does and is enthused to build and be part of excellent teams.

Troy has an MBA from the University of Alabama, a BA from Auburn University, and is actively involved in his community. He has been a Scoutmaster for many years and has helped more than 75 young men earn the rank of Eagle Scout. He and his wife have been married for more than 30 years and have four grown children.

All content provided by other speakers is expressly the views of those speakers and their organizations.

Next Episode

How Data and Analytics Leaders Can Gain Trust From the C-Suite to Deliver Impact

According to Gartner’s CDO Survey last year, shortages of skills and staff, reported by 45% of respondents, was the biggest roadblock to success. This has been the case in previous years as well, so that makes it even more important to purposefully adopt strategies for talent retention. Building a purpose- and data-driven culture is one of those strategies. Having the leadership skills to get C-level and broad buy-in from the organization is how you realize success. But how do you do that?

00:00:00 The Power of Defining Purpose To Drive D&A-Led Culture

This edition focuses on executive buy-in, culture change, talent management and how to keep your best people motivated so they stay and grow in your organization to have an impact.

00:05:43 Culture Hacks for Data Driven Organizational Culture Change

Specifically, with Distinguished VP Analyst Deb Logan, we will look at the connection between high-performing teams and having an inclusive and mission-driven data and analytics culture. She shares culture hacks to help you along your journey.

00:15:16 Data and Analytics Executive Leadership in Action at FINTRAC

Rachel Porteous, CIO at FINTRAC, is a great example of putting this into action. FINTRAC is tasked with addressing intractable problems like human trafficking and money laundering. Rachel leads all data, analytics and AI efforts at FINTRAC, where she has been recognized by the CEO as being the key driver of FINTRAC’s data-driven culture. And success for FINTRAC is using data to literally save lives. Rachel shares her best practices on how to get people on board to change the culture, how she has become the CEO’s trusted advisor with a seat at the table and how she has been able to translate her culture and purpose to attracting and retaining the best talent. She also gives us a preview of what she’s doing with Generative AI.

Rachel Porteous

Chief Information Officer at Financial Transactions and Reports Analysis Centre of Canada (FINTRAC)

Rachel Porteous is a distinguished Senior Executive with more than 30 years of IM/IT experience and a proven track record of successes in developing solutions that improve the efficiency and effectiveness of IT and business operations. She is a strong leader able to drive transformations and service delivery while developing high-performing teams. Rachel has been the chief information officer at FINTRAC since January of 2019. She was the chief information officer at Immigration, Refugees and Citizenship Canada (IRCC) from 2017 to 2019. Prior to IRCC, Rachel occupied the position of chief technology officer at Public Services and Procurement Canada and the Canada Border Services Agency (CBSA), where she managed multiple multimillion-dollar projects across those departments. She started her career at Indian and Northern Affairs Department, where she excelled in multiple IM/IT positions.

Rachel holds a Bachelor of Applied Science, with a Major in Computer Science from the Université du Québec en Outaouais. She is a mother of two daughters and volunteers in two not-for-profit organizations: the CIO Association of Canada and the Association of Public Sector Information Professionals (DPI).

Debra Logan

Distinguished VP Analyst, Gartner CDAO Practice

Debra Logan is a VP and Gartner Fellow in Gartner Research. Debra covers strategic topics in the data and analytics IT leaders team. She also covers all aspects of the office of the chief data officer and other new and emerging information-focused roles. Debra does research on change and change management; data-driven culture change; leadership development and coaching; and diversity, equity and inclusion in IT.

Prior to joining Gartner, Debra was an independent consultant to IT organizations in the United Kingdom and Europe, helping them to formulate strategies and evaluate technologies. She had previously worked for ten years at Carnegie Group, an early pioneer in commercial AI applications.

All content provided by other speakers is expressly the views of those speakers and their organizations.