Datavid - a C5i company @DatavidML

🤖 An AI research agent works in one environment. Then it needs to run in another. That's where the real challenge begins. It's not just about the model. It's about whether the context, logic, and data can move with it. More in this month's newsletter 👇 datav.id/4aLnF1t #EnterpriseAI #KnowledgeGraphs #GraphRAG #AgenticAI #Datavid

❓"How was this number produced?" For many financial institutions, answering that still means manually retracing data and business logic. 🎙️ Our latest podcast explores why this challenge persists and what it takes to build more traceable, trusted data. 🎧 Listen - datav.id/4yjwmtS 📖 Read - datav.id/4aSLRPr #RegTech #FinancialServices #Compliance #DataArchitecture

🧠 Thank you to everyone who joined our webinar "The missing layer between scientific data and breakthrough ideas" with Graphwise. We explored how a semantic backbone can help R&D teams connect fragmented scientific data, preserve institutional memory, and support AI with trusted, queryable knowledge. 👉 Missed it or want to rewatch? The recording is coming soon. Till then, explore more: datav.id/4aBWKoP #SemanticAI #KnowledgeGraphs #LifeSciences #EnterpriseAI #Datavid #Graphwise

Your DAM is not failing because of the platform. 👀 It is failing because of the data around your assets: weak metadata, poor search, no link to outcomes. The fix is a data strategy, not another feature. Ahead of @HenryStewart Semantic Data, worth a read. 👉Explore how: datav.id/4eQEw5x #DAM #DataStrategy #Datavid

🔎 How can R&D teams connect fragmented scientific data without replacing the systems they already rely on? Join Datavid and Graphwise TOMORROW – July 9 - at 3pm BST/ 10:00am EDT to explore how a semantic backbone can act as an intelligent layer across scientific knowledge. Featuring real-world use cases, customization examples, and a live demo from Datavid. 🎙️ "The missing layer between scientific data and breakthrough ideas" - with Clive Smith and Todor Primov Register here: datav.id/4vvg3rQ #SemanticAI #KnowledgeGraphs #GraphRAG #LifeSciences #Datavid #Graphwise

Editors need faster ways to identify what warrants closer review. Trust Signals uses PID-backed integrity checks and verifiable research metadata to surface potential concerns before peer review. Join early access: datav.id/4wBD7GG #ScholarlyPublishing #PeerReview

Competitive intelligence is no longer just competitor tracking. For pharma teams, CI now spans pipelines, regulations, literature, conferences, KOLs, compliance, and AI outputs. The challenge is not lack of information. It is volume, fragmentation, and trust. Every workflow creates a different data challenge. Better CI needs semantic data foundations, so intelligence can be traced, explained, and acted on. #CompetitiveIntelligence #Pharma #LifeSciences #KnowledgeGraphs #Datavid

🙏 Thank you to the organizers, speakers, and attendees who made #KnowledgeSummitDublin26 such a valuable experience. A special thanks to Avinash Dixit, and Datavid & C5i teams! One key takeaway: AI is only as trustworthy as the knowledge behind it. Context, governance, and traceability matter. #KnowledgeSummitDublin26 #EnterpriseAI #KnowledgeGraphs #TrustedAI #Datavid

Research integrity is getting harder to manage at scale. Earlier manuscript risk signals can help publishers connect checks across authors, references, funding, ethics, scope, and metadata, supporting faster triage and clearer escalation. 🎧 Prefer to listen? The blog is also available as a podcast: datav.id/44pMBb7 #ResearchIntegrity #ScholarlyPublishing #PublishingTechnology #TrustSignals

🧠 The organizations pulling ahead in R&D are not always the ones with the most data. They are the ones helping researchers spend more time thinking, and less time searching. Join Datavid and Graphwise on July 9 at 3pm BST/ 10:00am EDT to explore how a semantic backbone connects scientific data, institutional memory, and AI into a governed knowledge layer. "The missing layer between scientific data and breakthrough ideas" - with Clive Smith and Todor Primov. Register here: datav.id/4ee8SgM #SemanticAI #KnowledgeGraphs #LifeSciences #EnterpriseAI

Traditional systems: proving a decision is tedious but possible. AI systems: fundamentally harder. 🤔 If you cannot capture the data, context, and logic behind every decision as an auditable record, regulators have a problem with you. @BalvinderDang on what it takes 👇 datav.id/3RgefUC #AIGovernance #RegTech #FinancialServices

📊Most enterprises are not short on data. They are short on data they can actually use. Siloed systems. Inconsistent formats. AI initiatives are stuck at POC. Datavid turns scattered data into governed, AI-ready knowledge. Fast.   Not sure where to start? Book a free assessment. 👉 datav.id/3SjF1fi #EnterpriseData #AIReadiness #DataGovernance #Datavid

Manual checks can miss research integrity risks that warrants closer review. Trust Signals gives editors evidence-based insights across authorship, references, affiliations, funding, open access, and disclosure signals to help identify potential concerns before peer review. Learn more: datav.id/4dwL1bA #AcademicPublishing #ResearchIntegrity

Final chance to save on Semantic Data New York 2026 Save $300 - Super Plus Early Bird ends this Friday Join practitioners sharing real-world taxonomy, ontology, knowledge graph and AI applications henrystewartconferences.com/events/semanti… Sponsors: Progress Software & Datavid #SemanticDataNY

🔎 AI research assistants can look great in demos. But can they behave reliably across real datasets, secure environments, and metadata models? That is where many AI features break. Our latest blog explores how GraphRAG helps teams move from simple Q&A to reusable AI-powered research workflows using a real biobank implementation as an example 📖 Read more: datav.id/4fQ9s6K #GraphRAG #AIProductManagement #LifeSciences #EnterpriseAI #Datavid

"Policy documents don't stop an agent from consuming sensitive data it shouldn't see." 🛑 You need real-time access control, not a document in a shared drive. @BalvinderDang, 12 seconds, worth watching👇 datav.id/4ts0JuC #AIGovernance #FinancialServices #RegTech

Research integrity is becoming harder to manage with manual and fragmented checks alone. Many concerns now appear in authorship, references, affiliations, funding disclosures, and submission metadata often before peer review begins. Publishers need earlier and more explainable manuscript risk signals to support faster, more confident editorial decisions. Our latest blog explores why editorial workflows may need a broader approach to integrity screening. 👉 datav.id/3S84GYo #ResearchIntegrity hashtag#ScholarlyPublishing hashtag#AcademicPublishing hashtag#EditorialIntegrity hashtag#PublishingTechnology hashtag#TrustSignals hashtag#Datavid

AI can generate information faster than ever. But how do we ensure its trusted, reusable, and governed? At @ksummitdublin 2026 , Datavid's Avinash Dixit joins Susann Roth (Asian Development Bank), and Badou Bousso (Canadian Medical Protective Association) to discuss the future of Humans & AI. 📅 30 June 2026 🕓 16:00 hrs See you in Dublin 👋 datav.id/3Q58tFg #EnterpriseAI #KnowledgeGraphs #GraphRAG #Datavid #KnowledgeSummitDublin26

🧬 What is the missing layer between scientific data and breakthrough ideas? In R&D, knowledge is often scattered across databases, documents, systems, and teams. The result? Researchers spend too much time searching for information and not enough time driving discovery. Join Datavid and Graphwise on July 9 to explore how a semantic backbone connects fragmented scientific data, institutional memory, and AI into a single, queryable knowledge engine. "The missing layer between scientific data and breakthrough ideas" - with Clive Smith and Todor Primov. 📍 Online ⏰ 3pm BST/ 10:00am EDT Register here: datav.id/4unkNyw #ScientificKnowledgeManagement #SemanticAI #KnowledgeGraphs #LifeSciences #EnterpriseAI