Competitive intelligence (CI) in pharma has a paradox at its center: every function needs it, but when each team builds its own approach, the result is fragmentation, duplicated effort and conflicting decisions. This webinar explores why that model persists, how it weakens decision-making across the organization and why a more unified approach to CI is needed.
When intelligence is scattered across teams and reduced to dashboards and alerts, the function can lose strategic influence. Instead of shaping business decisions, it is often treated as a support service. This session examines the limits of competitive monitoring alone and introduces a broader framework in which one shared intelligence foundation supports multiple functions through tailored views, workflows and decision routing.
The featured speaker will unpack why the current model of fragmented CI persists, what it actually costs organizations in delayed decisions and duplicated effort, and what a fundamentally different architecture looks like, one where public data at a global scale, proprietary primary intelligence from the field and custom per-function decision workflows converge into a single source of truth.
Register for this webinar to learn how competitive intelligence should actually work for pharma decision-making.
Speaker
Dr. Sanika Bhide, Vice President, Enterprise Partnerships, Anervea.AI
Dr. Sanika Bhide is Vice President, Enterprise Partnerships at Anervea.AI. She brings over 20 years of experience spanning life sciences, pharma, biotech, and AI-driven SaaS — with deep expertise in precision medicine, biologics, biosimilars, and AI-led drug discovery. Her career has spanned the full value chain: analyst, product owner, chief of staff, partnerships lead, and business unit head. Most recently at Innoplexus (a Partex company), she led global sales for a proprietary AI drug discovery platform, managing accounts including Sanofi, Anavex Life Sciences, and Lupin Global across EU, US, and APAC.
Dr. Bhide holds a PhD in biochemistry from Pune University with specialization in epigenetics and biostatistics. She is a member of the Stanford Women in Data Science community and has published in Elsevier’s Applied and Translational Genomics, Cambridge University Press, and co-authored industry opinion reports with EY Parthenon.
Message PresenterWho Should Attend?
This webinar will appeal to:
- Competitive Intelligence and Strategic Intelligence leaders
- Commercial and Market Access teams
- Medical Affairs and KOL Management professionals
- Corporate Development and Business Development leads
- Strategy and Business Excellence teams
- Product and Portfolio Strategy teams
- R&D and Project Team leaders who rely on competitive landscape data
- Analytics and Insights teams supporting competitive or commercial strategy
- Anyone responsible for selecting, managing or consolidating CI tools and vendors across their organization
What You Will Learn
Attendees will learn:
- Why the “every team builds their own CI” model creates contradictory intelligence, and what it actually costs in delayed decisions and duplicated spend
- The difference between competitive monitoring (collecting signals) and decision infrastructure (routing the right intelligence to the right team at the right time)
- What a three-layer CI architecture looks like — global data scale, proprietary primary intelligence and custom per-function decision workflows on one shared foundation
- How leading pharma companies are turning CI from a support function into an enterprise infrastructure that serves every team from one source of truth
Xtalks Partner
Anervea.AI
Anervea.AI builds decision-grade products for the pharmaceutical and life sciences industry. Every product we build starts from the same principle: a deep data infrastructure layer, anchored by Anervea’s Nexus, intelligence models on top, and custom applications built for the teams that use them. AlfaKinetic, Anervea’s competitive intelligence platform, unifies 110+ global data sources with proprietary primary intelligence to deliver custom decision workflows for every pharma function — from project teams and commercial to medical affairs, corporate development, and investor relations. AlfaDev, built on the same Nexus architecture and Komodo Health data, serves clinical operations teams with trial feasibility, site selection, and patient enrollment intelligence. Offices in India, Singapore, the Philippines, and the United States.
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