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Dominic Ligot, CEO and CTO at CirroLytix, is back with Dominic Bohan to continue their discussion about AI and analytics. Yesterday, they spoke about how to create the most effective use-cases for AI & Analytics, and today they discuss ethics and the social impacts of AI-driven data.
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Dominic Ligot, CEO and CTO at CirroLytix, speaks with Dominic Bohan about how to create the most effective use-cases for AI & Analytics. CirroLytix helps governments, researchers, NGOs, and social enterprises leverage data to achieve positive change. They help design use-cases for data and AI, and also help individuals chart data-driven careers.
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Matt Kilmartin and Matthew Karasick, CEO and CPO at Habu, explore data-driven AI solutions for business efficiency. Using data to drive smart business outcomes within the framework of data clean rooms involves collaborating with partners' data without sharing the actual data itself. For instance, companies can analyze consumer behavior, optimize marketing strategies, and measure the impact of advertising campaigns using combined datasets, all while safeguarding data privacy and security. Today, Matt and Matthew discuss utilizing data to drive smart business outcomes.
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Matt Kilmartin and Matthew Karasick, CEO and CPO at Habu, explore data-driven AI solutions for business efficiency. Data clean rooms enable companies to collaborate with their partners' data without the need to physically move or copy the data. AI integration takes this to a whole other level as it enhances the analysis and insights derived from the shared data, in addition to an array of other benefits. Today, Matt and Matthew discuss AI data in clean rooms.
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Bryan Gernert, CEO of Resonate, explores understanding AI-driven insights in marketing and human motivation. As AI continues to evolve, it's not only about envisioning what's possible but actively shaping what you're doing on a daily basis. The current state of AI in data-driven marketing opens up an exciting path toward enhanced strategies and meaningful engagement with consumers. Today, Bryan discusses the current state of AI in data-driven marketing.
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Bryan Gernert, CEO of Resonate, explores understanding AI-driven insights in marketing and human motivation. While demographics initially provided a broad understanding of audiences for marketers, their limitations are painfully evident today. A more effective approach involves deeper audience segmentation that considers attributes like values, motivations, and preferences, using data-driven insights to precisely target individuals at a human level. Today, Bryan discusses going beyond demographics and psychographics to understand human motivation.
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George Davis, Founder and CEO of Frame AI, explores how to use AI for analyzing unstructured customer interaction data. Numerous businesses are hastily embracing AI for automating customer interactions and data analysis. Despite the initial high ROI offered by AI, failing to adopt a strategic approach can lead to long-term consequences. Today, George discusses the advantages and dangers of using AI to analyze data.
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George Davis, Founder and CEO of Frame AI, explores how to use AI for analyzing unstructured customer interaction data. Smartphones boosted customer interaction data collection for companies, but analyzing this data was costly and challenging. However, companies like Frame AI seized the opportunity to use advanced natural language understanding for insights and to solve problems with that customer interaction data. Today, George discusses understanding unstructured customer interaction data.
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Kristina Prokop, CEO and Co-Founder of Eyeota, explores the potential changes on the horizon for collecting audience data. In the face of dynamic changes in the marketing landscape, it is imperative for marketers, technology providers, and data companies to work together. By harnessing the interconnected potential of various technologies and data, our collective success lies in driving more value and thriving as a cohesive ecosystem. Today, Kristina discusses using data to boost ROI on ad tech investments.
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Kristina Prokop, CEO and Co-Founder of Eyeota, explores the potential changes on the horizon for collecting audience data. The audience data landscape is about to undergo significant changes as the availability of identifiers to understand audiences becomes increasingly restricted. To tackle these changes, innovative approaches will be required to adapt to evolving data collection and utilization practices. Today, Kristina discusses how the audience data landscape is about to change.
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From the publisher's feed
Welcome to the Data Driven Podcast, where we dive deep into getting more value from our business data.
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