Overview
HCLTech’s Data Science solutions help clients create innovative experiences for their stakeholders, optimize their business processes, and deliver data-driven insights that lead to tangible outcomes. Our end-to-end services includes consulting, experimentation services, delivery of large-scale AI enabled transformation programs and support of AI applications. At its core, HCLTech’s data science team focuses on:
- Business Outcomes enabling digital leaders to create a culture of continuous innovation within their organizations, helping them deliver 10x value to their stakeholders whilst mitigating potential risks during scaled delivery.
- Design-thinking View to balance the need between interpretability and trustability, while delivering explainable AI capabilities adopting AI first & front approach.
- Platform enabled AI Services to deliver scalable innovation across the business value chain and help accelerate development of ML/AI solutions from ideation to deployment.
Solutions
Data Science platform that allows analytics and AI teams across enterprises to rapidly develop and deploy custom machine learning models for scalable innovation to support the business. AIA is an online marketplace that provides a repository of reusable artefacts, which includes data science libraries, pre-trained models, algorithms, ready-to-use codes, datasets, templates, knowledge documents and solution recipes to expedite the lifecycle of AI experiments.
Enterprise scale tooling to manage data science lifecycle management and development of custom ML/AI models. The core focus of Model Manger is to empower data scientists to deliver consistently and successfully, keeping in mind the principles of collaboration, MLOps best practices and productivity improvements.
Cognitive procurement platform that enables corporate buyers and supply chain executives with the necessary insights to compare prices along with supplier value. Key capabilities include advanced analytics that help executives to proactively make informed procurement and spend decisions, while automating many activities related to contract management.
Analytics & AI-driven solution that combines the power of ML/AI techniques through supplier recommendation engine, demand forecasting, auto categorization, along with business process automation and consulting to provide a smarter procurement system and generates forward-looking insights influencing buying and strategic decision-making without the need for extensive change management.
Data Science platform that allows analytics and AI teams across enterprises to rapidly develop and deploy custom machine learning models for scalable innovation to support the business. AIA is an online marketplace that provides a repository of reusable artefacts, which includes data science libraries, pre-trained models, algorithms, ready-to-use codes, datasets, templates, knowledge documents and solution recipes to expedite the lifecycle of AI experiments.
Services
Business Experiments-As-A-Service
HCLTech experimentation frameworks allow clients to test hypotheses, measure critical indicators, validate assumptions, and derive evidence-based conclusion, which can be scaled across the organization to deliver 10x value to stakeholders. The key outcomes from experiments include i) Insight into the quantitative implication of scaling solutions across businesses and GEOs; ii) Defining return of value metrics to support prioritization of use cases; iii) Evaluation of cost drivers involved in organizational change and adoption.
AI CoE-As-A-Service
An AI Centre of Excellence can help advance your business goals by identifying the right use cases and strategic initiatives to support your transformation journey. HCLTech AI CoE-As-A-Service involves bringing the right mix of technology, people and governance frameworks to help you accelerate the development of proof of concepts, analytics roadmap design, use case prioritization and AI program implementation.
Enterprise Scaled Delivery Service
Enables enterprises to develop and deploy AI projects at scale by adopting MLOps solution frameworks across a range of business solutions.
