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The Learning Network

From Data to AI: Maximizing Organizational Value Through Effective Operating Models

The following insights are derived from a recent Assembly talk featuring Samir Sharma, the CEO of datazuum.  

In this talk, Samir emphasizes the importance of connecting data strategy with business objectives via a detailed discussion of operating models, which are structured frameworks or organizational approaches that govern how an organization manages and utilizes its data analytics and related processes. Samir draws from his expertise in organizational psychology to highlight the challenges organizations face in embedding data and analytics into their core practices and considers the critical role of talent, systems, processes, and upskilling in building a successful operating model.

See table for a summary of the five types of operating models Samir discussed in this talk along with the advantages and challenges that come with adopting each model in a business setting.

Sushant's headshot

Unlocking Personal Devices for AI – Applications of Hybrid-AI for Businesses

This is a continuation of insights shared during a recent Assembly Talk featuring Sushant Tripathy; Research Scientist in Machine Learning at Google. Most practical examples of hybrid-AI in businesses have to do with organizations effectively deploying hybrid-AI to improve the efficiency of computing tasks. The following are a few examples of promising applications:

Sushant's headshot

Unlocking Personal Devices for AI – Exploring Hybrid AI

The following insights are derived from a recent Assembly Talk featuring Sushant Tripathy, Research Scientist in Machine Learning at Google. Hybrid AI has gained traction in recent years due to the increasing computational demands of advanced machine learning models. This article delves into the concept of hybrid AI, discussing its potential opportunities and limitations. The information […]

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