Kore.ai Partners with AWS to Boost Enterprise AI Adoption
Kore.ai has signed a strategic collaboration agreement with Amazon Web Services (AWS) to integrate its AI platform with AWS services, announced in a press release. This partnership aims to accelerate the deployment of AI tools for various business use cases by integrating Kore.ai's solutions with AWS technologies such as Amazon Bedrock, Amazon Q, and Amazon Connect.
The collaboration will enable AWS customers to access Kore.ai's agent platform and business solutions through the AWS Marketplace. This integration is designed to enhance customer experience and operational efficiency by providing adaptable and scalable AI solutions. Kore.ai's participation in the AWS ISV Accelerate Program will further facilitate joint opportunities with AWS sales teams, making it easier for customers to adopt AI-powered solutions.
Recognized as an AWS Innovation Award winner for "Generative AI/ML Market Disruptor of the Year," Kore.ai continues to strengthen its relationship with AWS. The partnership underscores a shared commitment to empowering businesses with advanced AI technologies, offering new ways to purchase and utilize Kore.ai's solutions hosted on AWS.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Oct 16 ALTOUR Unveils AI Platform for Corporate Travel Decisions Oct 16 BOC Group Adds AI Assistant to ADOIT 21 Oct 16 Huawei Brings Upgraded Stellar Network Solution to Europe Oct 16 Element to Manage Waymo's Toronto Fleet for 2028 Launch Oct 16 CTM and Huawei Plan AI Network Security Upgrades in MacaoEnterprise AI Brief
Weekly report on AI business applications, enterprise software releases, automation tools, and industry implementations.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
PhoenixAI Joins Cloudera as Foundational Database Partner
Amazon in Talks to Acquire Decart for About $7 Billion
OpsGuru Named OpenAI Select Partner
Ampersand Raises $15 Million for Enterprise AI Agent Integrations
Forge Commits $30 Million to Deploy Private AI Systems With webAI
Daily AI Brief: the AI news that matters, in your inbox.