logo
Part of MDS SI Group
Menu
Part of MDS SI Group

AI and Data

Survival in today’s age of ever-changing business needs and technology transformation necessitates the drive towards creating an ‘intelligent business’. Organisations are recognising the transformative potential of data and increasing their investments in AI and Analytics.

Our team of specialists will guide you through this transformative journey, avoiding potential pitfalls. If you are aiming to harness the power of AI & Analytics to enable decision-making and drive strategic growth, MDS CADS offers a wide range of services to elevate your capabilities to the highest standards.

The broad steps in the process include:

  1. Preliminary Assessment and Discovery: Through interviews with stakeholders, review of existing initiatives and assessment of current technology, guidelines and processes, we gain a comprehensive understanding of the current maturity level for AI & Analytics and identify the strengths and areas for improvement.

  2. AI Maturity Model Selection: Using a proprietary framework, our Experts define a customized AI maturity model incorporating selected processes.

  3. Maturity Evaluation: Experts evaluate the organization’s AI and Analytics maturity across key dimensions using the model. The output is a detailed analysis report scoring each dimension and listing the strength and areas of improvement.

  4. Gap Analysis and benchmarking: The proprietary framework is used to compare the scores from the maturity evaluation with industry benchmarks, the gaps identified actions to be taken to plug them defined.

  5. Strategic Roadmap Development: Using the framework, develop a strategy to enhance the customer’s AI & Analytics maturity and governance supported by a detailed plan that guides actions.

  6. Implementation and Progress Measurement: Customers will have experts guiding the execution and evaluating progress against metrics to ensure that the initiatives implemented deliver the expected business objectives and outcomes.

  7. Continuous Monitoring and Adaptation: Regularly reviewing performance against business objectives allows organizations to make adjustments based on changing market conditions or business priorities.
Supplementing the above are other services such as:
Service NameService DescriptionService ComponentsBusiness Outcomes
Data Strategy
  • Evaluate existing data strategy, including data collection, storage, and usage, to identify improvement areas and align it with organizational goals. This assessment involves analyzing data governance, quality, and security practices
  • Review current data governance policies and procedures
  • Assess data collection methods and practices
  • Analyze data storage and retrieval mechanisms
  • Evaluate data quality management processes
  • Assess data security measures
  • Enhanced data strategy.
  • Improved data-driven decision-making
Data Architecture Assessment
  • Assess the current data architecture, including data sources, storage, and data flows, to identify gaps and opportunities for improvement. This assessment involves evaluating data integration, scalability, and performance aspects of the architecture.
  • Analyze data sources and their integration points
  • Evaluate data storage and retrieval mechanisms
  • Assess data flow and transformation processes
  • Identify scalability issues and bottlenecks
  • Evaluate overall data architecture performance
  • Enhanced data architecture.
  • Optimized data workflows
Data Governance
  • Establish data governance policies and processes to ensure data consistency, security, and compliance. This involves defining data classification standards, metadata management practices, and data access controls to safeguard sensitive information and enable data-driven decision-making.
  • Develop data governance framework and policies
  • Implement data classification and tagging standards
  • Establish metadata management practices
  • Design and enforce data access controls
  • Implement data privacy and security measures
  • Enhanced data security
  • Compliance with regulations
Analytics & AI Tool Selection
  • Identify suitable analytics tools and technologies that align with specific business requirements. This involves analyzing functional and technical requirements, evaluating available options, and providing recommendations for selecting the most appropriate analytics tools to achieve desired outcomes.
  • Analyze functional requirements for analytics capabilities
  • Evaluate technical requirements for tool integration
  • Identify available analytics tools and platforms
  • Conduct comparative analysis of tool features and capabilities
  • Provide recommendations and roadmap for tool selection and implementation
  • Optimized analytics capabilities.
  • Efficient data processing

Can't find what you are looking for?

Contact Us

Marcel Theunissen

  • Senior professional in the field of new technology with a focus on Healthcare
  • Works on AI, VR and IoT in Healthcare and has been instrumental in transitions of patient management systems in the healthcare industry
  • Rich and diverse international experience across markets in technical development, management, and marketing Virtual Reality, Artificial Intelligence and IoT
  • A member of the leadership team of ‘AI in Healthcare’, an Australian organisation with more than 800 members,
  • Has organised and (co-)chaired conferences: AI in Genomics and AI in Mental Healthcare
  • Co-producer and presenter of a 10-episodes radio series on Artificial Intelligence with a major educational Dutch broadcasting organization
  • Has founded many Start Ups providing AI/ML, VR, Predictive Analytics and IoT solutions and services across diverse industries.

Dr. Tapati Bandopadhyay

  • Inventor and Practice Leader in AI & Cloud and creator of AISWITCH, the world’s only patented AI Automation Management & Governance framework
  • Former Senior Director for AI & Cloud at Gartner, built 200+ research IPs
  • Has consulted with Citi, BOA, HSBC, UBS, Lombard, Prudential, ING, BMW, Unilever, on their enterprise cloud infrastructure and AI strategies and roadmaps
  • As the Head of AI at Wipro Technologies, she set up HOLMES AI-IA practices & ecosystems, filed 3 patents on XAI in a year, earning a Fellowship in the DMTS (Distinguished Member of Technical Staff)
  • University Gold Medallist in Engineering, PhD in Language AI and a DFID Scholar at University of Strathclyde Glasgow Featured in NASSCOM 21 in ’21, INDIAai, and has been a Speaker at UN Tech Leaders events and Gartner events @US/EU