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Webinars

In depth presentations and panel discussions from IIA leaders, clients and experts on concepts, topics and trends essential for analytics and AI success.

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During this webinar, we focus on how use cases and analytics have been shaped in the recent years, and how they have adapted to the new normal of the COVID-19 pandemic in the recent months.…

During this webinar, we discuss what it means to be ‘digital only’ in this crisis and how this will and should change customer interaction – starting with Customer expectation and experience of the whole brand…

In this webinar, we will be focusing on how agile leadership enables rapid creativity with insights from analytics. Erik from Opco will give his view on how retail companies that have implemented agile leadership have…

As enterprises adopt and scale DevOps and DataOps they are starting to explore the progression from Continuous Integration to Continuous Delivery to Continuous Verification. Continuous Verification offers many avenues to ensure your system behaves the…

The teams at SAS Sweden, Opco, and the International Institute for Analytics (IIA) will share perspectives, guidance and examples of how analytics leaders can leverage data to enable their firms to work through the current…

The teams at SAS Sweden, Opco, and the International Institute for Analytics (IIA) share perspectives, guidance and examples of how analytics leaders in retail can leverage data to enable their firms to work through the…

Now more than ever the role of the CDAO is facing an interesting future. We spent a decade convincing our business colleagues and executives that BI isn’t Advanced Analytics. More recently we’ve been managing the…

Join Christopher Bergh as he presents the seven steps to get these groups of people working together. These seven steps contain practical, doable steps that can help you achieve data agility through DataOps. This presentation…

AI/Machine learning provides tremendous opportunity for significant business growth, scale and improved client experience. However, many traditional businesses have not yet fully capitalized on the opportunity because they have struggled to operationalize their AI/Machine Learning…