Research & Analysis by Abhijeet Adhikari

The key innovation in Luna is the use of right-sized, purpose-built EFMs rather than massively over parameterized models.

The newly announced “AI teammates” are adaptable AI assistants that can advise teams on priorities, power customized workflows, triage risks, action projects, and even reallocate work autonomously, all while operating within set boundaries defined by human supervisors.

Rather than adopting a one-size-fits-all approach, Snowflake recognizes the diverse cultural and business landscapes across the region, tailoring its strategies accordingly.

The Silicon Valley startup claims the product updates will allow contact centers to more effectively analyze the context and nuance within interactions – aspects that have traditionally proved challenging for conversational AI.

“The new AI-enabled capabilities we’ve introduced today allow teams to easily capture the process complexity within their organizations to build and expand an automation program that helps increase productivity across their teams,” said Niranjan Vijayaragavan.

The new H2O AI apps run natively inside customers’ Snowflake accounts, providing seamless integration and enabling users to leverage large language models and other AI capabilities without complex integrations or technical expertise required.

At the Customer Contact Week conference in Las Vegas, Talkdesk unveiled two new products that leverage large language models and other AI technologies. The offerings aim to tailor customer interactions based on factors like conversation history, user profile, location, and even detected mood and emotional state.

Haystack’s AI models are trained to understand each startup’s specific requirements based on team size, growth plans, funding status and industry.