Welcome to episode four in our “Getting Generative AI Ready” series of the AI Ireland podcast, the show that explores the applications and research of Data Science, Machine Learning and Artificial Intelligence on the island of Ireland.
Our mission is to increase the use of AI for the benefit of our society, our competitiveness and everyone living in Ireland.
In the fourth episode of this five-part podcast series, we’re joined by Fawad Qureshi, Global Industry Field CTO at Snowflake and and Keith Hinde, Principal Consultant at GlobalLogic.
In this episode, Fawad and Keith discuss the need for companies to focus more on defining impactful problems rather than just adopting new technologies.
Drawing parallels with the hype around technologies like Hadoop and ChatGPT, they highlight that a strong data foundation is essential for benefiting from these capabilities. The analogy of a marathon runner’s shoes is used to stress the importance of foundational work in technology adoption.
To guide companies in prioritising their efforts, Fawad recommends creating an effort-value matrix, focusing on high-effort/high-value projects and low-effort/high-value quick wins.
The discussion shifts towards upcoming challenges like ESG and sustainability, portraying them as high-effort, high-value projects with the potential to disrupt industries and the planet.
The conversation explores metrics for assessing effective problem-solving, emphasising the importance of time to insight and monitoring service request turnaround.
The concept of data as a product is introduced, with Fawad and Keith urging organisations to build data as a service businesses and leverage marketplaces for innovation through crowdsourcing.
The importance of metadata governance is highlighted as a crucial element for understanding how data is used, contributing to an infinite feedback loop and fostering innovation.
The role of effective communication in promoting governance within organisations is underlined, with the understanding that it goes beyond a checkbox exercise, involving active participation and collaboration for sustainable innovation.
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