CASE STUDYAI Strategy for Competitive Intelligence
Artificial Intelligence Strategy
Prioritizing Voluminous Market Insights And Competitive Intelligence.
Creating an Artificial Intelligence (AI) transformation strategy to optimize internal operations, discover hidden insights, and demonstrate potential ROI based on machine learning proof of concept.
A Top 20 Global Pharmaceutical
A project roadmap involving machine learning, NLP, computer vision, and a shortlist of AI-based CI platforms.
With the ever-changing landscape of information about competitor drug development and commercialization, evolving drug technologies, and promising startups, the client was challenged in scaling operations, prioritizing available insights, and harnessing insights from volumes of data.
- Intake and Market Research
- Stakeholder Interviews
- Alignment workshops with Client and Potential Payer Partner
- UX Design Concepts, PoC Wireframes
- Solution Architecture & PoC Plan
- Biz+UX+Tech Interviews
Medullan developed a strategy that leveraged AI/ML within the Competitive Intelligence (CI) functional area to produce industry-leading capabilities and competitive insights. Medullan also implemented a proof of concept to garner confidence by demonstrating how ML and OCR technologies can analyze and extract essential information from images.
By The Numbers
AI Use Cases Identified
CI Vendors Reviewed
Images Analyzed with AI
Executives, Analysts and Internal Stakeholders
Machine learning, Google Vision API, Python, AWS Sage Maker
My experience with Medullan has been very positive. Your team brought that structure and discipline and helped us think about the application of what we do.