IT services company IBM is expanding its relationship with Amazon Web Services (AWS) to deliver joint solutions upgraded with generative artificial intelligence capabilities for critical uses cases.
The move seeks to help more mutual clients operationalise and derive value from generative AI.
IBM Consulting is aiming to deepen its generative AI expertise on AWS by training 10,000 consultants by end-2024, eyeing to start with the following specific solutions:
- Contact Center Modernisation with Amazon Connect – IBM Consulting worked with AWS to create summarisation and categorisation functions for voice and digital interactions using generative AI, which are designed to allow for transfers between the chatbot and live agent and provide the agent with summarised details that expedite resolution times and improve quality management.
- Platform Services on AWS – This offering is newly upgraded with generative AI to better manage the entire cloud value chain including IT Ops, automation, and platform engineering. The new generative AI capabilities give clients tools to enhance business serviceability and availability for their applications hosted on AWS through intelligent issue resolution and observability techniques.
- Supply Chain Ensemble on AWS – This will introduce a virtual assistant that can help accelerate and augment the work of supply chain professionals as they aim to deliver on customer expectations, optimise inventories, reduce costs, streamline logistics, and assess supply chain risks.
In addition to these, for clients looking to modernise on AWS, IBM Consulting is planning to integrate AWS generative AI services into its proprietary IBM Consulting Cloud Accelerator to help boost the cloud transformation process. This will help with reverse engineering, code generation and code conversion.
Generative AI at scale for telecommunications
Clients are already benefitting from the IBM-AWS partnership. French communications service provider Bouygues Telecom engaged IBM Consulting to support the company's cloud strategy to explore, design and implement AI use cases at scale while giving teams flexibility to select cloud and AI providers based on departmental and application needs.
Leveraging the IBM Garage approach, the team co-designed a custom data and AI reference architecture covering multiple cloud scenarios that can extend to all AI and data projects across Bouygues Telecom's cloud and on-premises platforms.
With the new AI platform on AWS, IBM Consulting enabled Bouygues Telecom to develop proof-of-concept models and scale them into production quickly while helping to minimise costs and risks. The platform also enables their data scientists to work with greater efficiency, purpose, and satisfaction by allowing them to spend more time on complex, high-value AI projects rather than launching standalone solutions.
