At Valtech, we understand the significance of AI and how these new tools, leveraging machine learning, are shaping not only our future but also the future of our workforces. Our mission is to accompany our clients and partners on this transformative journey to benefit from the potential of AI in a responsible way.
One of the key pillars to ensure AI systems will benefit our society is having a regulatory framework that will make it safe, transparent, traceable and non-discriminatory.
In that context, regulators have the dual responsibility to mitigate the dangers posed by new AI technologies and ensure fair market competition. Due to the scale and the speed of AI adoption in recent months, regulators have the duty to act swiftly to protect customers, and Valtech is closely monitoring all new regulations to guide our clients.
As one of the leaders in responsible AI, Salesforce launched their AI cloud which brings the power of generative AI to supercharge customer experiences and boost company productivity. The open ecosystem approach of Salesforce allows you to use their own Large Language Models (LLMs), bring your own or use third-party LLMs in a secure, enterprise-ready way without compromising on data privacy and security.
In this article, we will explore the four main steps towards building an efficient AI-enabled strategy. To illustrate these steps, we have outlined a fictive story that leverages salesforce AI’s new suite of tools to address a specific, yet quite generic business problem.