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| S.No | Particular | Page No. | |
|---|---|---|---|
| 1 |
Parag BhardwajAbstract: The role of leadership is crucial in shaping a robust FinOps culture, a financial operations practice aimed at optimizing cloud financial management. Effective leadership in FinOps goes beyond mere financial oversight; it involves fostering a culture of collaboration, transparency, and continuous improvement across teams. Leaders play a pivotal role in defining strategic goals, setting expectations, and ensuring alignment between technology and financial objectives. By promoting a culture that emphasizes accountability and cost-efficiency, leaders encourage teams to make data-driven decisions that optimize cloud spending while maintaining operational excellence. leadership is responsible for nurturing an environment where cross-functional teams—comprising finance, engineering, and operations—work together seamlessly. This collaborative approach enhances visibility into cloud costs, promotes shared responsibility for financial outcomes, and encourages proactive management of cloud resources. Leaders also champion the adoption of FinOps practices by providing the necessary training, tools, and resources to support the continuous learning and adaptation required in the fast-evolving cloud environment. |
|
1-12 |
| 2 |
Nagaraj Mandaloju , Noone Srinivas, Vinod kumar Karne, Siddhartha Varma Nadimpalli,Abstract: This study explores the integration of machine learning into Salesforce workflows to enhance automation and optimize operational efficiency. The research addresses the limitations of traditional Salesforce automation, which often falls short in managing the increasing complexity of data and workflows. The study employed a range of machine learning algorithms, including Logistic Regression, Decision Trees, Random Forests, and Gradient Boosting, applied to Salesforce data to assess their impact on task completion times, error rates, and user satisfaction. The analysis revealed that machine learning models significantly reduced task completion times, lowered error rates, and improved user satisfaction by automating routine tasks and providing predictive insights. The findings indicate that integrating machine learning into Salesforce can lead to substantial improvements in workflow efficiency and decision-making capabilities. The study concludes that while the potential benefits are considerable, further research using real-world data and a broader range of algorithms is necessary to fully validate and extend these findings. |
|
13-33 |
| 3 |
Kamal KumarAbstract: By promoting a culture that emphasizes accountability and cost-efficiency, leaders encourage teams to make data-driven decisions that optimize cloud spending while maintaining operational excellence. leadership is responsible for nurturing an environment where cross-functional teams—comprising finance, engineering, and operations—work together seamlessly. This collaborative approach enhances visibility into cloud costs, promotes shared responsibility for financial outcomes, and encourages proactive management of cloud resources. Leaders also champion the adoption of FinOps practices by providing the necessary training, tools, and resources to support the continuous learning and adaptation required in the fast-evolving cloud environment. |
|
34-40 |
