
Sign up to save your podcasts
Or
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:
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.
Please subscribe and share the episode with your colleagues. Thank you for listening. Gartner Podcasts are a production of Gartner, the world's leading research and advisory company. Equipping executives across the enterprise with indispensable insight, advice, and tools to achieve their mission critical priorities. You can learn more at Gartner.com.
All content in Gartner Podcasts is owned by Gartner and cannot be repurposed or reproduced without Gartner's consent. Gartner is an impartial, independent analyst of business and technology. This content should not be construed as a Gartner endorsement of any enterprise's product or services.
All content provided by other speakers is expressly the views of those speakers and their organizations.
5
44 ratings
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:
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.
Please subscribe and share the episode with your colleagues. Thank you for listening. Gartner Podcasts are a production of Gartner, the world's leading research and advisory company. Equipping executives across the enterprise with indispensable insight, advice, and tools to achieve their mission critical priorities. You can learn more at Gartner.com.
All content in Gartner Podcasts is owned by Gartner and cannot be repurposed or reproduced without Gartner's consent. Gartner is an impartial, independent analyst of business and technology. This content should not be construed as a Gartner endorsement of any enterprise's product or services.
All content provided by other speakers is expressly the views of those speakers and their organizations.