Photo by The Future of CRM: Salesforce Unveils Gen AI Benchmark
In a groundbreaking move, Salesforce has announced a first-of-its-kind generative AI benchmark for CRM, designed to help businesses make informed decisions when choosing large language models (LLMs) for use with business applications.
“Customers don’t just want the best model,” explains Clara Shih, CEO of Salesforce AI. “They want to make sure it’s the best model that’s compliant, fits their security standards, and doesn’t break the bank.”
The new benchmark is the result of a collaboration between Salesforce’s Frontier AI applied research group and the company’s core product and engineering teams. It uses human professionals and real CRM data to evaluate LLMs in four key areas: accuracy, cost, speed, and trust and safety.
Evaluating LLMs for CRM applications
The benchmark assesses the pros and cons of various LLMs as part of a business’s AI technology stack, enabling companies to make informed decisions that align with their business objectives and priorities.
“When it comes to CRM applications, we want to ensure the qualities of these generative processes are aligned with the CRM goals,” says Silvio Savarese, EVP, and chief scientist of Salesforce Research.
Understanding the different types of AI models
In addition to Salesforce’s innovative benchmark, the world of AI is rapidly evolving, with new models and applications emerging every day. From large language models to convolutional neural networks, the possibilities are endless.
“Enterprise leaders face a double-edged sword in AI strategy: while promising next-level innovation and productivity gains, LLMs also bring significant safety risks, cost burdens, and environmental impacts,” said Gayathri Radhakrishnan, partner at Hitachi Ventures.
Optimizing AI for safety and efficiency
Companies like Trustwise are pioneering the development of generative AI application performance and risk management solutions, designed to eliminate risks and reduce the growing costs associated with deploying LLMs in high-stakes enterprise environments.
“At Trustwise, we understand the challenges enterprises face with generative AI, including safety risks, high costs, and environmental impacts,” said Manoj Saxena, CEO and founder of Trustwise.
The risks and challenges of AI adoption
As AI continues to transform industries and revolutionize the way we work, it’s essential to prioritize safety, efficiency, and sustainability in AI development and deployment.
“This is where we’re going to see a lot of differentiation coming,” says Silvio Savarese.
The future of CRM and AI is bright, and with innovative solutions like Salesforce’s gen AI benchmark and Trustwise’s Optimize:ai, businesses can unlock the full potential of AI while minimizing its risks.
