"If we are minimizing mistakes and doing the best we can in terms of automation we're able to deliver better services and more profitability to shareholders."
F5 has become more diversified with software, software-as-a-service and services as well as hardware. Here's what that transformation meant for the customer experience.
For enterprise software vendors, generative AI features are largely freemium for now with the understanding that you'll pay up at some point.
45% of the hires at companies never get ROI positive for the companies that made the hire.
The goal of the Scale AI and Chegg partnership: Develop generative AI tools that leverage Chegg's differentiated data and get to market fast.
Nvidia at Siggraph outlined an AI vision where developers will create, test and optimize generative AI models and large language models (LLMs) on a PC and workstation and then scale them via data centers or the cloud.
RingCX is a native platform that will include RingCentral's unified communications tools with contact center capabilities as well as generative AI.
According to Five9, Aceyus will provide its CX platform with contextual data across disparate systems. Aceyus integration catalog will also boost Five9's data lake.
Zoom updated its terms of service to give the platform the right to use some customer data for training its AI models. Here are a few thoughts on what's next.
Generative AI, which appears to be initially loved by students and loathed by educators, is coming to education as its embedded in courseware as well as learning management systems.
Here's a look at moving parts to consider as enterprises put Llama 2 through its paces as they craft generative AI use cases.
Salesforce's Einstein Studio, which is generally available, can use custom LLMs along with Einstein GPT's LLMs and remove the need for Extract Transform and Load (ETL).
