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The Data Value Chain: Key to Successful AI

In this CXOTalk conversation, Mike Capone, the CEO of Qlik, describes the relationship between data and successful AI initiatives. He explains that to harness the power of artificial intelligence, organizations must understand how AI and data value chains intertwine. However, curating high-quality data and building trust in AI through effective governance remains a challenge for many.

Capone emphasizes the need for a strategic approach, aligning data and AI efforts directly with core business objectives. Cultivating a data-driven culture and navigating organizational anxieties through thoughtful change management are also crucial.  Finally, he offers guidance for leaders in both business and technology, stressing the importance of adapting to the rapid evolution of AI.

Episode HighlightsEmbrace the AI Value ChainUnderstand the end-to-end process of capturing, curating, and preparing data for AI and analyticsRecognize that data is the crucial foundation and that AI value is derived from the underlying dataPrioritize the Data Value ChainFocus first on harnessing data and understanding where it resides in real-timeEnsure the data value chain is robust before embarking on AI initiativesDevelop a Data-Driven StrategyStart by identifying key business decisions that can be improved with data and AIWork backwards to determine necessary data and ensure it is high-quality and curatedFoster Trust and Data LiteracyDeploy AI responsibly, starting with trusted, validated data to earn trust in the outcomesInvest in data literacy training to help employees become comfortable working with dataImplement Responsible AI PracticesTake a leadership role in establishing responsible AI deployment practicesConsider the ethical implications of how customer data and technologies like facial recognition are usedApproach AI Adoption StrategicallyTreat AI as a business challenge rather than just a technology problemPrioritize change management and cultural impacts before rushing to deploy AI technologiesKey TakeawaysThe AI Value Chain Depends on High-Quality Data

AI success requires a robust data foundation. Organizations must capture, curate, and catalog high-quality data in real-time to feed AI and analytics systems. Focus on data veracity and lineage to ensure AI delivers accurate, trustworthy results.

Align Data and AI Strategies with Business Priorities

Start by identifying key business decisions that can benefit from data and AI. Work backwards to determine the data needed to support those decisions. Develop cohesive data and AI strategies that align with overall business goals and be sure to gain full executive support.

Balance Technology and Culture for Successful AI Adoption

Implementing AI requires more than just deploying technology. Overcoming cultural resistance is critical. Invest time in change management, building data literacy, and earning trust in AI systems. Establish governance frameworks that address both technical and ethical considerations.

Episode Participants

Mike Capone leads Qlik's mission to create a data-literate world where people, businesses, organizations and governments tackle their most complex challenges with data. Mike has direct experience using data power through analytics to transform companies and entire industries.

In addition to his extensive experience at high-growth SaaS companies, Mike was most recently COO of Medidata Solutions, a publicly traded company providing SaaS analytics solutions to the pharmaceutical, healthcare, and human sciences markets. At Medidata, he played a significant role in product development, data science, professional services, and go-to-market operations, guiding the company's strategy to deliver a comprehensive cloud platform that leverages data and analytics to transform clinical trials.

Prior to Medidata, Mike held senior leadership roles at ADP, including Corporate Vice President of Product Development and CIO, as well as Senior Vice President and General Manager of ADP's global outsourcing business. He was also head of product development and technology operations at ADP, one of the world's largest B2B cloud service providers, offering critical services to more than 600,000 companies and 39 million employees worldwide.

Michael Krigsman is an industry analyst and publisher of CXOTalk. For three decades, he has advised enterprise technology companies on market messaging and positioning strategy. He has written over 1,000 blogs on leadership and digital transformation and created almost 1,000 video interviews with the world’s top business leaders on these topics. His work has been referenced in the media over 1,000 times and in over 50 books. He has presented and moderated panels at numerous industry events around the world.

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