Podcast Episodes

Dr. Joseph Cazier | Arizona State University

Data analytics in higher education

Dr. Joseph Cazier, Clinical Professor and Associate Director of the Centre for AI and Data Analytics at Arizona State University, delves into AI and data analytics in higher education. The rise of AI and data analytics is transforming our world and workplaces, and education must evolve alongside it to prepare students for this new landscape.…

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Aaron Gorham | J. R. Simplot

Running a full stack data shop

Aaron Gorham, Senior Director of Data and Analytics at J.R. Simplot, shares insights on navigating full-stack data operations and evolving legacy organizations. In a traditional setup, different data functions operate as separate entities within the organization, leading to silos and communication challenges. However, amidst the rapid pace of technological advancements in the data space, aligning…

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Andy Chatham | DIMO

The Future of Mobility for Transit-Dense Cities — Andy Chatham // DIMO

Andy Chatham, Co-Founder and CEO at DIMO, delves into revolutionizing transport with data. Car data provides a wealth of insights to optimize public transit routes, alleviate congestion, and enhance overall urban mobility. Yet, it is underutilized today, even though it has the potential to significantly transform and improve current transportation systems. Today, Andy discusses the…

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Pedram Navid | Dagster Labs

Cutting through the noise of data products — Pedram Navid // Dagster Labs

Pedram Navid, Head of Data Engineering and DevRel at Dagster Labs, explores data products and AI and large language models’ roles in data. With the rising data literacy levels in organizations, leaders are increasingly inclined to access data independently. Shifting towards viewing data as a product, data teams can strategically enable self-service and empower them…

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Krishnan Venkata | LatentView Analytics

A problem-first approach to data strategy — Krishnan Venkata // LatentView Analytics

Krishnan Venkata, Chief Client Officer at LatentView Analytics, delves into data strategy approaches and driving change with data. Amid the buzz surrounding generative AI and executive pressure, there's a risk of adopting new technologies for the sake of staying ahead of the technology curve. Often, organizations prioritize technology over identifying the specific problems new solutions…

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Sam Torres | The Gray Dot Company

Using consumer insights data to improve CX — Sam Torres // The Gray Dot Company

Sam Torres, Chief Digital Officer at The Gray Dot Company, shares her insights on optimizing customer experience data insights and privacy regulations. Traditionally, consumer insights came from costly and time-consuming market research reports. However, the digital landscape, powered by AI and machine learning, allows us to swiftly access and understand consumer mindsets, significantly speeding up…

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Massoud Alibakhsh | Omadeus

Data, AI, and Collective Intelligence — Massoud Alibakhsh // Omadeus

Massoud Alibakhsh, CEO of Omadeus, explores data, AI, and improving workplace communication. We establish collective intelligence by streamlining communication within an organization so that information flows efficiently between individuals at the right time and place. However, the challenge is that this information is spread across our existing software, email, and chat channels, forming isolated data…

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Ed Barker | GM Defense

Creating a Data-Driven Culture — Ed Barker // GM Defense

Ed Barker, Data Literacy Lead at GM Defense, explores data-driven culture and governance. Embracing a data-driven culture within an organization is more than just a change in processes or technology. The success of this cultural shift relies heavily on leaders championing the cause through words and actions that align with the envisioned data-driven future. Today,…

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Wendy Lynch | Analytic-translator.com

Why most data analytics projects fail — Wendy Lynch // Analytic-translator.com

Wendy Lynch, Founder of Analytic-translator.com, discusses data analytics success factors. Data scientists and business teams frequently face communication challenges, causing friction and unsuccessful analytics projects. Incorporating an analytic translator helps bridge this gap, leading to better returns on analytics and less time spent redoing projects. Today, Wendy shares her insights on why most analytics projects…

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