Information technology (IT) giant HCLTech has announced the integration of its Generative Artificial Intelligence (GenAI) platform AI Force with Google’s AI model Gemini.
“Enterprises often struggle to scale GenAI capabilities beyond the proof-of-concept stage without incurring high costs. HCLTech AI Force enables faster time to market and higher efficiency across the product engineering lifecycle,” said Vijay Guntur, Chief Technology Officer and Head of Ecosystems, HCLTech.
HCLTech industry solutions, powered by Gemini models, include intelligent asset tracking, improving material movements within manufacturing plants and a core manufacturing lifecycle management (PLM) solution.
“Our AI-driven approach to software engineering, support and maintenance provides an efficient and effective alternative to modernizing engineering processes using GenAI,” said Guntur.
Other industry solutions for mobile carriers focus on augmented network automation (ANA) and net-zero intelligence operations (NIO) to reduce energy consumption, the company said.
“Bringing Gemini models to HCLTech AI Force allows companies that choose GenAI to start smart and finish faster. AI Force accelerates the availability of our catalog of Gemini-enhanced industry solutions,” said Siki Giunta, executive vice president, CloudSMART and Google Cloud Ecosystem, HCLTech.
Last month, the company expanded its partnership with Google Cloud to give 25,000 engineers access to Google Gemini.
“By enabling engineers to leverage the latest GenAI technology from Google Cloud, the company aims to better support customers at various stages of their AI projects, including the development of new use cases and capabilities for HCLTech platforms and product offerings” , the company said in a press release. .
Earlier this month, the IT giant also partnered with Amazon Web Services (AWS) to “accelerate GenAI-led digital business transformation.”
As part of the partnership, the companies said they will work together to deploy AWS GenAI (generative AI) services such as Amazon Bedrock, Amazon CodeWhisperer, Amazon SageMaker and Amazon Titan to enterprises across multiple industries.
First print: May 30, 2024 | 9:13 PM IST