The initial assessment service aims to provide clients with a the best practices when determining the scope of a AI/ML Transition
Our digital transformation services help you embrace the latest technologies and trends to stay ahead of the competition. We offer a range of services, including digital strategy, user experience design, and application development to help you achieve your goals.
Scope: Evaluating current capabilities, aligning AI/ML initiatives with business goals, and defining an adoption roadmap. Activities include technology audits, capability assessments, and strategic planning.
Scope: Designing the system architecture that supports AI/ML operations, including technology selection and data flow design. It ensures the infrastructure is scalable, secure, and compliant with data regulations
Vendor Selection is a crucial phase when it comes to implementing AI and machine learning in telecom operations. Choosing the right vendor is imperative for a successful AI/ML implementation. With the right vendor, you can align with the strategic goals and architectural requirements of the telecom company. You will want to choose a vendor with the technical capability, customer support, and cost structure that meets your needs.
Scope: Defining specific AI/ML use cases tailored to network operations and developing PoCs to validate these use cases. This involves detailed data analysis, model building, and iterative testing to refine AI/ML solutions.
Scope: Implement AI/ML solutions into the live environment, ensure seamless integration with existing systems and workflows, and perform system checks and optimizations to meet operational standards.
Scope: Ongoing system maintenance, updates, troubleshooting, and personnel training to operate and manage AI/ML solutions. It also includes continuous evaluation and refinement of AI/ML tools to adapt to new requirements and data insights.
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