We’re a frontline consultancy firm that helps organizations in developing data competencies necessary for the successful adoption and implementation of AI & Data Science solutions, by navigating the respective technological, conceptual and practical landscapes.
Data Infrastructure strategy
Re-imagining the collection, storage, and management of data
Organizing Data-Compatible Teams
Creating multidisciplinary teams clearly aware of the AI & Data Science query procedures
Cost implications assessment
Time and periodical cost implications of AI & Data Science solutions
AI & Data Science risks management
Risks could range from the data fed into AI systems to the operation of algorithmic models
Data cleaning, labeling and classification
Even as data readily accessible, its not usually stored in a format that makes it easy to use
Scenario modeling & use-case identification
Conceptual & technological understanding of AI & Data Science solutions capabilities
AI & Data Science Market Resizing
Build, strengthen and maintain the vendor company’s position in the target market
Non-Profit Data Analytics & AI
Track a non-profit's performance management plan (PMP), M&E frameworks & KPIs
Regulatory compliance & engagement
Navigating and organizational roadmap development on data rights & regulations
Our Alliances Ecosystem, which includes our clients, R&D partners and implementation partners reflects our commitment to offer better access to specialized services and capabilities.
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