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Showing posts with the label decision-making

Unlocking Efficiency and Innovation: The Rise of Digital Twins in Organizational Optimization

The Digital Twin of an Organization (DTO) market is experiencing rapid growth, fueled by a key driver: the imperative for organizations to enhance efficiency while ensuring consistent end-user satisfaction. In response, companies are increasingly considering the implementation of a 'digital twin' model to optimize their operations. This trend is particularly pronounced due to constraints on workforce availability, which stem from organizational streamlining efforts and challenges in sourcing specific skill sets when needed . The concept of a digital twin offers a virtual replicative model of an organization's processes, systems, and assets. By creating a digital counterpart, companies can gain valuable insights into their operations and improve decision-making processes. This approach enables organizations to analyze their products or services in-depth and address any issues digitally, offering transparency to end-users regarding what functions effectively and what doesn...

Data-Driven Experimentation and Creative Decision-Making with AI

  Making decisions based on the right data and experimentation increases the likelihood of choosing the correct option and achieving success. With the advent of AI, this process has become more efficient and accessible. However, creativity and intuition should not be disregarded in the decision-making process, even in the era of AI's prominence. Incorporating creativity into AI is a thought-provoking question that was discussed by the Quadrant team comprising Apoorva Dawalbhakta, Associate Research Director, Sr. Content Specialist Shinjini Sarkar, and AI monetization expert Somil Gupta, who is also the Founder & CEO of Algorithmic Scale and AI Influencer of the year. During the conversation, Shinjini Sarkar, the moderator, highlighted the recent buzz around "AI as a service" and its various monetization strategies, both direct (e.g., Einstein and Watson) and indirect (e.g., Netflix and Amazon). Somil Gupta elaborated that AI monetization goes beyond providing AI mode...