Quickly deploy an automated chatbot solution customized to your business needs and desired outcomes.

Rackspace Technology™ has deep expertise in Conversational AI and AWS Services to help customers build applications with highly engaging user experiences and lifelike conversational interactions. By combining Amazon Lex with other AWS services, Rackspace can help expand your chatbot’s capabilities to verbally respond to users, translate text into their native language, understand the context of their questions, and deliver personalized recommendations.

Rackspace provides dedicated planning, data science and AI/ML engineering expertise, and automated operations that help customers define the right AI strategy, prepare their data, incorporate AI/ML frameworks into application and data platform development, and maintain and optimize their environment.

Rackspace Technology

AWS Partner Network | Competency


United States


Always-on customer access
A conversational AI chatbot enables customers to reach your business 24/7, from anywhere.
Automation to reduce workload
Using conversational AI to address common customer needs reduces the workload on staff.
Continuous improvement
Track quantitative conversation metrics to improve customer experiences.

Accelerate internationalization

Conversational AI can work in multiple languages, expanding customer access.
  • How it works
  • Key activities
  • Customer contribution
  • About this consultant
  • Architecture diagram
  • How it works
  • Rackspace Technology provides expert guidance, data engineering, and data science leveraging Amazon Lex to help organizations maximize the benefits of Conversational AI to their business. Rackspace helps customers design solutions that improve customer service with 24-hour assistance, increase customer engagement with conversational interfaces and sentiment analysis, and optimize cost and productivity with automation.

    The Rackspace Conversational AI solution begins with an ideation workshop to uncover the opportunities and assess business objectives, use case, and current data platform. Rackspace then designs your future state architecture. From there, their team can build, train, deploy, and validate the model and deliver a full production solution with supporting documentation and knowledge transfer.

    Additionally, Rackspace offers a data lake accelerator if you are not currently leveraging for your data pipeline, as well as an AI proof-of-concept to demonstrate the benefits of a chatbot to key stakeholders.

  • Key activities
  • 1) Discovery workshop
    Ideate solution and assess business objectives, use case, and current data platform
    2) Architecture & design
    Determine algorithms and data, design architecture for model training and architecture for test and evaluation
    3) Model development
    Prepare the data, develop the model, run model training, iterate on design, and tune the model
    4) Move to production
    Deploy the model into production
    5) Testing & validation
    Test and validate the model, perform hyperparameter tuning, evaluate model performance, and quality evaluation
    6) Knowledge transfer
    Package model code, provide inference endpoint, and deliver final solution and documentation
  • Customer contribution
  • Use case, vision

    Provide any details around the business objective and what challenge you are trying to solve

    Supporting documentation, if any

    Existing reference architecture and documentation relating to your current data environment
    Resources for collaboration
    Introduction to team members that will be leveraged during the project
  • About this consultant
  • Rackspace Technology is an end-to-end multicloud technology services company. Rackspace can design, build, and operate their customers’ cloud environments across all major technology platforms, irrespective of technology stack or deployment model. Rackspace partners with their customers at every stage of their cloud journey, enabling them to modernize applications, build new products and adopt innovative technologies. Rackspace holds 2,300+ AWS certifications, 12 service delivery designations, and 15 competencies including Machine Learning with Applied AI and ML Operations.

  • Architecture diagram

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AWS Competency Details

Rackspace has demonstrated deep AWS technical expertise and proven customer success.

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