Generative Artificial Intelligence (AI) has gained significant attention for its potential to transform various industries. Some of the ways that an organisation can use generative AI are – Personalising customer experiences, streamlining operations and efficiency, enhancing decision-making, preserving privacy and security, fraud detection and cybersecurity. However, most organisations are encountering challenges when implementing generative AI in their systems. To effectively leverage gen AI in marketing and other fields, it is essential to understand the costs involved and create sustainable solutions.
Insights from Hansa Cequity and AIM Research on LLM in AI
Hansa Cequity has been at the forefront of helping clients implement bleeding edge technology solutions for more than a decade. This Guide to Generative AI Implementation Cost in collaboration with AIM Research aims to provide valuable insights and guidance for organisations looking to leverage generative AI effectively. By combining primary and secondary research methods, we have analysed industry trends, assessed cost components, and explored best practices. We have also focused on marketing-driven examples and case studies to showcase practical applications.
Key Steps in Conducting a Cost-Benefit Analysis for Gen AI in Marketing
In this Guide, we will provide you with an overview of how to conduct a cost-benefit analysis for generative AI projects. We will cover the following topics:
- Taking a Case Study Approach
- Cost Analysis
- How to Reduce Cost
- Roadmap for Implementation
We hope that this guide will help you to make informed decisions about generative AI implementation and to maximize its value for your organization and more specifically build a roadmap for sustainable implementation of text based LLMs.
LLM in AI: Addressing Challenges and Ensuring Long-Term Success
Generative AI also poses some challenges and risks, such as data quality, ethical issues, legal implications, and social impact. Therefore, before implementing generative AI solutions in marketing based on a cost-benefit analysis, it is also important to conduct the feasibility, viability, and desirability of the project.
Overall, the applications of gen AI in marketing are vast and varied, and it has the potential to transform many different industries. As the technology continues to advance, it will be interesting to see the new and innovative ways in which it is used in the future. Hansa Cequity, along with AIM Research, will be keeping a close eye on this fast-evolving space. I am sure you will find this Guide practical and useful.
For more information, visit – http://www.hansacequity.com
