Datavid

We keep seeing the same pattern across enterprise AI programmes. 💪 Strong pilots. 🏃♀️ Real momentum. 🛑 Then… hesitation. Not because the technology isn’t working, but because the organisation can’t fully trust it. Can we explain the output? Can we trace it? Can we govern it? 📉 That’s where most AI initiatives slow down. This blog explores why this happens, and what needs to change to move from promising pilots to reliable, enterprise AI. 👉 Read more: https://datav.id/4sAD1f8 #EnterpriseAI #DataGovernance #GraphRAG #AI #CDO #DataStrategy

As complexity grows across clinical, commercial, and strategic functions, pharma organizations are rethinking how intelligence flows across the business to support faster, more confident decisions. C5i joins the Pharma CI Europe Conference & Exhibition 2026 as a sponsor, where Balvinder Dang (CEO – Datavid [a C5i company]), Muneer Ahmad (VP, HLS), and Linh Nguyen (Director, HLS), will be connecting with peers on exactly these challenges. Working across the entire life sciences value chain, covering clinical, medical, commercial, and supply chain, we help organizations turn fragmented data into connected intelligence. Our solutions support this shift at every stage of the product life cycle, from early asset evaluation and competitor monitoring to conference coverage, strategic ad hoc CI, and pharma strategic insights. If you’re attending, drop by our booth to meet the team and continue the conversation. Explore our life sciences offerings: https://lnkd.in/dP9UWuZr Suchitra Eswaran Chandrasekhar Sharma Dr. Anju Mishra Vijay Vageeshamurthy Vivek Kaushik Eric Neyhard Jo Adams Avinash Dixit Neethu Sreenivasan Sheena Chacko Megha Chaudhry #C5iHumanAIImpact #AgenticAI #GenAI #Innovation #FutureTech #TrustworthyAI #BusinessImpact #Pharma #LifeSciences #Healthcare #CI

Your AI worked perfectly in the demo. Then users started asking real questions. • Same query → different answers • Follow-ups → lost context • Complex questions → shallow responses This is where most AI products start to struggle. In this 90-second demo, we show: – why traditional RAG behaves this way – what changes when context is structured and connected – and how that impacts product reliability 👉 Explore our GraphRAG expertise: https://datav.id/4mRz6cK #AI #GraphRAG #ProductManagement #EnterpriseAI #LLM

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Excited to be attending a Pharma Competitive Intelligence (CI) conference next week It’s a pivotal moment for the industry. The volume and complexity of scientific, clinical, and regulatory data continues to grow exponentially, and the challenge is no longer access, it’s making sense of it in a way that drives faster, smarter decisions. Looking forward to engaging with peers and leaders on topics such as: • AI-assisted regulatory submissions • Scientific literature and evidence management • Pipeline and competitor monitoring • Cross-functional intelligence sharing • Post-market surveillance and real-world insights A particular area of interest for me is how semantic technologies and knowledge graphs are enabling a shift from fragmented insights to connected intelligence, powering more contextual, explainable, and decision-ready outputs across the pharma lifecycle. If you’re attending, would be great to connect and exchange perspectives. #PharmaCI #LifeSciences #AI #KnowledgeGraphs #CompetitiveIntelligence Datavid C5i

Datavid joins C5i to strengthen the data foundations behind enterprise AI 🤖 Because the real bottleneck isn’t a model. It’s data. Most enterprise AI still struggles because data is: – Disconnected – Lacking context – Hard to trust That’s what determines whether AI works or not. Because better AI doesn’t start with models. It starts with data. Know more here https://datav.id/48HACIs #DatavidAC5iCompany #Datavid #C5i #AI #EnterpriseAI #KnowledgeGraphs #AgenticAI #DataStrategy #DigitalTransformation

Trade reporting is no longer just a compliance task. It’s a data architecture challenge. Fragmented systems, manual workflows, and evolving regulations like MiFID II are pushing financial institutions to rethink how trade data is managed. In this short case snapshot, we show how a leading European bank built a scalable trade data hub to enable real-time regulatory reporting and reduce operational risk. ▶️ Watch the architecture in action. 📖Read the full case study: https://datav.id/4cXqUEi #RegTech #DataPlatforms #FinancialServices #DataArchitecture #MiFIDII

Datavid is now officially part of C5i. This marks a significant step in expanding how we bring graph data engineering and knowledge graph capabilities to enterprise AI. With access to C5i’s global client base, AI platforms, and analytics expertise, we are now positioned to scale our capabilities further helping organizations move from fragmented data to connected, context-rich intelligence. For our clients, this means broader AI capabilities, deeper domain expertise, and a more complete path from data foundations to decision intelligence. We remain focused on what we do best, building semantic data foundations that make AI more reliable, explainable, and actionable. Ashwin Mittal, Nitesh Jain, Ankur Maheshwari, Anees Merchant, Ajith Sankaran. CMC®, Suchitra Eswaran, Chandrasekhar Sharma, Joseph Sursock, Manish Srivastava, Imran Saeed, Santosh Nair, Vijay Ramaswamy, Megha Chaudhry, Manish Kotwani, Prashant Bhatt, Sanjay Chandiramani Balvinder Dang, Silvia Chirila, Clive Smith, Avinash Dixit #DatavidAC5iCompany #Datavid #C5i #AI #EnterpriseAI #KnowledgeGraphs #AgenticAI #DataStrategy #DigitalTransformation

Scaling something sounds straightforward until you try to do it without changing how it’s set up. What usually happens isn’t failure. It’s accumulation. ⚙️More coordination 🔗More dependencies 📈More effort to keep things consistent. At some point, the system still works but only with increasing overhead. That’s the part that’s easy to miss. We’ve unpacked this in this month’s newsletter using a real example of how execution models evolve when scale becomes a constraint. 👉 Subscribe📘 https://datav.id/48BsZDi #EnterpriseAI #GraphRAG #DataStrategy #AIinProduction #Datavid

Thank you to the Pistoia Alliance team for organizing a fantastic 2026 London Conference. 🤝 It was great to connect with leaders across pharma, biotech, and technology who are working to advance collaborative innovation in life sciences. The conversations around FAIR data, AI adoption, and trusted research data foundations reinforced how important collaboration is in solving the industry's most complex data challenges. 🧪 We’re proud to be part of this community and look forward to continuing the conversation. Looking forward to the next one! #LifeSciences #FAIRdata #AIinPharma #PistoiaAlliance #DataCollaboration