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This episode of the D-Suite delves into the big ideas and small details that make up a strong data culture. The hosts reflect on experiences from the past year of Gartner conferences, and lessons from data and analytics leaders who have succeeded (and failed) to optimize their culture.
The main topics covered include:
How to make people genuinely care about their data culture.How to go from talking about being data-driven to actually being data-driven.Drivers of poor culture and things to watch out for. What active leadership and cultural influence look like.Sarah James is a Senior Research Director in Gartner’s CDAO practice where she focuses on topics at the intersection of data and human behavior — including CDAO impact and influence, data-driven culture development, bringing people along on the data journey, self development, effective delivery, neurodiversity, and more.
Peter Krensky is a Senior Director, Analyst on Gartner’s Analytics and AI team, specializing in data science and machine learning, including predictive and prescriptive analytics, generative AI, analytics and data science tools and platforms, self-service, data science team structure, AI talent management and data and analytics education. Before Gartner, Peter was a research analyst with Aberdeen Group.
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.
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In this episode of the D-Suite, we hear from Angela Pearce, chief data and analytics officer at Pension Insurance Corporation. She shares the moments that helped her learn what she needed for executive leadership, reveals the three things every chief data and analytics officer (CDAO) needs, and details the early challenges in delivering and scaling AI.
Later, Gartner Group Vice President Sheila Childs joins the show to share the surprises she encounters in her role as a senior executive leader for Gartner and what helps her successfully manage a diverse business portfolio. She discusses her perspective as a female executive looking back and ahead, along with her advice for young people embarking on leadership trajectories.
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.
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In this episode of the D-Suite, we hear from Shelley Gornall, information management officer for the United Nations High Commissioner for Refugees (UNHCR), who shares her experience using data to tackle some of the world’s toughest problems. Shelley has introduced an innovative “brain trust” for data for the organization that has vastly improved buy-in and engagement and been a key source of innovation for the UNHCR data community.
Later, Gartner Senior Director Analyst Donna Medeiros joins the show to discuss how data can be successfully applied to issues of social concern. Donna also shares insight on data for good programs for corporate social responsibility.
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.
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Walid Mehanna is the Chief Data and AI Officer of Merck KGaA, Darmstadt, Germany. Driven by his passion for people and technology, he leads the company’s enterprisewide data and AI strategy. He and his team build a comprehensive technology ecosystem, establish an effective operating model, and foster a strong governance and culture framework for data and AI at the organization. Additionally, he chairs the Merck Digital Ethics Advisory Panel, guiding the company’s ethical standards in the digital realm.
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.
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In this episode of the D-Suite, we take you behind the scenes at Gartner’s Data and Analytics (D&A) Summit in London, providing insights from Gartner analysts on trending topics and key takeaways. Our guest, JP Bhamu, chief data and analytics officer (CDAO) at GEMS Education, shares his experience in driving culture change and value in his organization. The key points he covers include:
A deep dive into the role of a CDAO in shaping business strategy and driving culture change, with JP sharing his approach to building a team focused on creating data valueThe importance of regular communication with the CEO, the need for domain knowledge, and the significance of empathy and collaboration in changing data cultureThe impact of data-driven culture change on business outcomes, with specific examples from GEMS Education’s strategy and growthJP Bhamu is the group CDAO for GEMS Education and recipient of the Chief Data and Analytics Officer of 2023 award at the Middle East Enterprise AI & Analytics Summit, UAE Edition. With nearly 30 years of IT industry experience in leadership and executive positions for large multinational commercial and public sector organizations, JP’s forte is in institutionalizing data as a corporate asset to deliver positive business outcomes and shape business strategies.
JP has a flair for harnessing the power inherent in data and AI to drive evidence-based public policy formulation, innovation, digital transformation and data monetization. He is a thought leader, writer and regular speaker with deep technical delivery expertise and the ability to communicate and influence peers to drive the boardroom narrative. His work has spanned such industry sectors as education, the U.K. public sector, oil and gas, consulting, insurance, pension, wealth management, and telecoms based in the United Arab Emirates, the U.K., the U.S., Singapore, and continental Europe.
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.
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This episode of the D-Suite delves into the complexities of managing innovation in data and analytics, with a special emphasis on AI projects. The discussion provides valuable insights for data and analytics leaders on understanding the importance of aligning innovation with business priorities, focusing on value over tools or techniques, and exploring new ways of funding potentially high-return initiatives.
The main topics covered include:
The need for chief data and analytics officers (CDAOs) to strike a balance between delivering immediate results and investing in innovative projects that may have longer-term payoffsConstantyn’s unique approach of running his team like a startup within a large corporation, focusing on delivering value and gaining stakeholder buy-inThe role of change management, communication and talent management in innovationConstantyn Chalitsios is the chief digital officer at Westlake, leading the AI and digital program driving digital innovations to reimagine products and processes. Constantyn has over 30 years of industry experience and expertise in manufacturing, R&D, engineering and supply chain. He holds master’s degrees in electronics and robotics, along with an MBA in finance and nine patents in applied nuclear physics applications.
Michael Gabbard is senior director for Gartner’s data and analytics leadership and value research team. He focuses on major operational concerns for the office of the CDAO, including strategy development, operating model design, organizational structure, delivery model, information architecture and business architecture for data and analytics. Michael helps Gartner clients develop and maintain operational excellence for their data and analytics functions.
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.
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In this episode of the D-Suite, hosts Rita Sallam and Afraz Jaffri discuss the complexities of using generative AI, including the risks of unintended outputs, the impact on the workforce due to automation, and the necessity of enforcing ethical principles across all AI projects.
The episode features insights from Lydia Clougherty Jones, a Gartner expert in data sharing, ethics, and guidelines; and Giles Pavey, global director for data science at Unilever, who shares his experiences and best practices in implementing responsible AI.
Lydia Clougherty Jones is a senior research director analyst in Gartner’s Data and Analytics (D&A) Group. She helps clients drive optimal stakeholder, business and equity value from D&A and AI, including generative AI (GenAI), with a focus on the emerging leadership role of the chief data and analytics officer. She also helps clients navigate global AI and GenAI regulatory dynamics and business impact. Topics she discusses with clients include D&A strategy, GenAI risk, data sharing for business benefit, data/digital ethics, data/D&A value, and D&A and AI risk. Her research interests cover ecosystem-relationship thinking, including via emerging digital trust technologies such as GenAI, metaverse, blockchain and smart contracts. She holds degrees from Boston College (B.A.), Boston University (J.D.) and New York University School of Law (LL.M.). She is also an adjunct professor of law at Vanderbilt Law School and Boston University School of Law.
Giles Pavey is global data science director at Unilever, with a companywide mission to raise both the “floor” of knowledge of AI and data science and also increase the “ceiling” of capability. He also leads Unilever’s thinking on AI Assurance.
Prior to Unilever, Giles worked for the U.K. Government and dunnhumby, where he set up and led the company’s data science team. At dunnhumby, Giles worked with grocery retailers including Tesco, Kroger, Casino and Woolworths across five continents.
Giles is visiting professor in computer science at the University College London AI Lab and Industrial Fellow at the Oxford University School of Mathematics.
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.
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In this episode of the D-Suite, Gartner experts share their data, analytics and AI predictions for 2024 and beyond. In the second part of this episode, we show insights from Ericsson’s head of AI and automation, Rickard Wieselfors, on the role of generative AI (GenAI) for digital transformation.
The predicts featured are:
00:00:54 By 2026, 75% of CDAOs who fail to make organizationwide influence and measurable impact their top priority will be assimilated into technology functions. 00:05:54 By 2026, 90% of organizations will suffer more than 10 production-impacting events annually due to insufficient GenAI skills and testing investments.00:09:33 By 2025, use of natural language as a primary data management API will be the dominant interface leading to a 100x consumption of data across the ecosystem.00:13:22 By 2025, 90% of current analytics content consumers will become content creators enabled by AI.Jorg Heizenberg is a Gartner VP Analyst in D&A CDAO Leadership and Operations. Jorg explores data and analytics (D&A) trends and best practices with a human-centric focus. His primary coverage areas are the D&A strategy and operating model; data-driven culture and behavior; D&A organizations, roles, and skills. He has a background in D&A business and technology consulting with over three decades of experience in planning, designing, and implementing D&A. His motto: D&A is about people!
Ehtisham Zaidi is a Gartner VP Analyst in D&A Data Architecture and Solutions. Ehtisham focuses his research on data management architecture and solutions. His coverage areas include data fabric architectures, data mesh operating models, data engineering as a discipline, and data integration architecture and technology. His recent research focus has been around the incorporation of GenAI in data management technology to improve productivity of data resources. He believes in “making data easy” and enabling “data management for the masses.”
Edgar Macari is a Gartner Director Analyst in D&A Business Analytics and Data Science. Edgar specializes in guiding organizations to democratize data and analytics (D&A), maximizing the value derived from their investments in this field. His expertise spans key areas, including D&A strategy, self-service analytics, augmented analytics, analytics and business intelligence (ABI) platforms, data literacy, and cultural change. His recent research explores the profound impacts of AI on democratizing D&A. His motto: D&A is a team sport — don't play alone!
Erick Brethenoux is a Gartner Distinguished VP Analyst in D&A Artificial Intelligence. Through his research and advisory duties, Erick guides organizations on the strategic, technology and pragmatic implementation of AI techniques and next-generation decision-modeling systems. Prior to Gartner, Erick has held various executive positions building products and AI platforms. Erick has also conducted a scientific mission for the French Embassy in the U.S. while conducting his research as a Ph.D. candidate at University of Delaware within a cognitive sciences multidisciplinary program. Erick is also currently an adjunct professor at the Illinois Institute of Technology in Chicago.
00:16:53 Powering Transformation by Intelligent Automation and Al
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.
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In today’s episode we look at the financial aspects of AI including generative AI and that age old question of how to measure and quantify value when your CEO starts asking for hard numbers.
We start off discussing the topic of managing vendor risk highlighted by the real life drama at the end of 2023 that unfolded at OpenAI. What are the implications for the need to build resiliency in your applications to get the most out of your technology investments and their use and minimize your risk.
Next, Distinguished VP analyst expert, Fran Karamouzis discusses the multiple dimensions that organizations need to look at to be defining budgets for AI development.
And finally, in Part 1 of our interview with Rickard Wieselfors, Automation and AI lead at Ericsson, he shares his best practices and words of wisdom on how he was able to deliver and measure over $500 million in business benefits through AI and related innovations. In Part 2 coming in Episode 7, Rickard shares his experiences and early results from Ericsson’s generative AI initiatives.
About our guests:
Rickard Wieselfors, VP and Head of Enterprise Automation & AI at Ericsson.
Rickard is the founder and leading the Global Automation & AI team at Ericsson with the purpose to drive transformation through Intelligent Automation & AI across Ericsson to the benefit of both customers and employees. In addition, Rickard drives innovation and adoption of intelligent technologies such as Machine Learning, Generative AI, Low Code and Blockchain. Prior to this role, Wieselfors has more than 20 years of professional experience as an executive in the technology industry. Rickard holds an MBA from the Stockholm School of Economics.
Fran Karamouzis, Distinguished VP Analyst, D&A Analytics and AI Practice
Fran Karamouzis is a Distinguished VP Analyst in Gartner's Research and Advisory Group focusing on Artificial Intelligence, Hyperautomation (inclusive of RPA and decision modelling) as well as the business and IT services to drive outcomes. Ms. Karamouzis is focused on research that addresses strategic planning, evaluations, business cases and service delivery capabilities, as well as disruptive trends. Ms. Karamouzis has appeared and/or contributed to reports showcased on 60 Minutes, CNN, CNBC, PBS, Business Week, Forbes and the Council for Foreign Relations. Ms. Karamouzis earned a bachelor's degree in International Business and Accounting from New York University. She has also completed her M.B.A. in Finance at New York University.
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.
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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 PorteousChief 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 LoganDistinguished 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.
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.
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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 modelsAn 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.
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.
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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.
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.
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00:00:00 1 Introduction with Rita and Afraz
00:08:18 2 The Role of FinOps in Optimizing Spend on Data, Analytics and AI Cloud Workloads with Adam Ronthal
00:17:01 3 Communicating the Value of Data, Analytics and AI at Texas Health Michael Parris
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.
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ChatGPT and other large language models have captured the public’s imagination and demonstrated the power of AI. This edition of the D-Suite video podcast helps CDAOs separate fact from fiction, explore generative AI deployment models and realize value from data, analytics and AI.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.
