I work as a Strategic Product Manager in Ericsson. I'm a part of a centralised team which is the Automation Transformation Office. This team is supporting business customers from the Europe, Middle East, and Africa regions. We are a central hub team and have a vast network of customers. We support their custom business requirements, and our team is actually responsible for creating. I am responsible for the entire analytics area. This is what I led into to drive the analytics vision, its strategy, its future and my main goal to get from this program was how do you leverage AI in the world of analytics.
I chose this program because while I have a deep technical background in distributed systems data engineering, and I recognise that successfully scaling with AI, within a global organisation like Ericsson, requires a different set of strategic rules.
The most important insight from the program was that only 20% of AI success is about the algorithm you apply in any AI-related world, and 80% is about your strategy.
I found this format very well structured because it provided sufficient time to go through the training along with my day-to-day work, and it also has the encouragement of groups that were created for promoting continuous learning to share.
What I have learned and understood from this overall program, which I feel is very important, is about the foundation of AI, learning about the base foundation before you go for an application of AI. I feel that this is something that every industry misses in its strategy, especially investing in the AI foundation.
After this program, I applied the strategic roadmap framework to my work at Ericsson. I specifically led the transitions of analytic estate from dashboarding-driven to a Gen AI-driven, especially the application of AI and adoption of AI into analytics.
I have created the strategic road map for my own product to apply AI and transition analytics into more AI-driven end-user value generation.
I have now understood how the industry as a whole is talking about AI, how the industry is taking their own use case and how AI is being applied to different areas. This gives you a holistic view, which I would definitely take in future roles in my job.
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