Ententia Perspectives
The Agility Advantage - How Gen AI can be a Game Changer for MSEs
Generative AI is a game-changer for Medium-Sized Enterprises (MSEs). With accessible, cost-effective tools and infrastructure, MSEs can innovate faster, operate smarter, and compete more effectively than ever before. This whitepaper is a call to action for MSE leaders to rethink their approach to AI adoption. It explores how smaller size, and agility can be a competitive advantage, why effective leadership is key to mobilizing teams, and how organizations can implement AI without major disruptions. It also presents a clear, two-track action plan to drive both immediate impact and long-term transformation. AI is reshaping industries. The only question is: Will you lead the change or struggle to keep up?
Exploring Generative AI Opportunities in Health, Environment, and Safety (HES)
The Health, Environment, and Safety (HES) domain is foundational to industrial operations, safeguarding both people and the planet while ensuring compliance with rigorous regulatory frameworks. Despite considerable efforts, HES continues to face significant challenges—from navigating complex regulations and managing extensive documentation to ensuring worker safety in dynamic environments. These challenges are further amplified by the influx of a younger, technologically adept workforce that may lack deep operational and risk management experience. To keep pace, HES tools and approaches must evolve, fostering an adaptive safety culture that anticipates and meets future needs.
Enterprise Gen AI Model Selection Framework - Part II
In Part II of the whitepaper, we focus on the non-technical aspects of model selection. We outline critical factors to consider across commercial, sustainability, and governance dimensions. Additionally, we discuss how to apply the framework in practice and address potential edge cases. Together, these whitepapers provide a comprehensive approach to selecting the most suitable Gen AI model family for an enterprise.
Enterprise Gen AI Model Selection Framework - Part I
In this whitepaper, we present an enterprise-specific framework for selecting a Generative AI model family. The framework goes beyond model quality and performance, incorporating additional factors essential for the successful and scalable deployment of Gen AI solutions. Part I introduces the overall framework and delves into key technical considerations.
Unlocking Value in Core Upstream Operations with Generative AI
The Upstream Oil & Gas industry faces numerous challenges, including market unpredictability, regulatory complexities, and the pressure to enhance operational sustainability. Generative AI offers a transformative opportunity to boost productivity, streamline operations, and improve decision-making. In this blog post, we present specific use cases—such as Production Assistant and Digital Field Worker—that show how upstream operators can achieve superior production outcomes, enhance safety performance, and increase employee productivity. Dive in to see how Generative AI is reshaping upstream operations, one use case at a time.
Harnessing Gen AI for Enterprise Excellence
This whitepaper explores unique challenges faced by enterprises in integrating Generative AI into their operations. Focus on accuracy, consistency, and operational safety is paramount. We outline the limitations of existing models and propose a systematic, multi-layered approach to addressing them.