Topic: data fragmentation
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Customer Data Crisis: Why Your Data Quality Is Declining
Marketing leaders face a "data trust crisis" where massive data volumes, tightening privacy regulations, fragmented platforms, and AI-generated signals degrade data quality, undermining reliable customer understanding. Poor data quality directly harms personalization, segmentation, journey orches...
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Cyberhaven Flow secures data across human and AI workflows
Cyberhaven has launched Cyberhaven Flow, an AI-native data security platform that integrates lineage, identity, and behavior to protect data across human and AI-driven workflows. Flow consolidates data visibility, exfiltration prevention, and insider risk management into a single solution, securi...
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Sheryl Sandberg invests $10M in AI vehicle inspection startup
Sheryl Sandberg led a $10 million investment into Self Inspection, a startup using smartphone cameras to assess vehicle damage, with participation from former Tesla president Jon McNeill's firm. Self Inspection's software guides users to capture vehicle photos, compares them against a large datas...
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CMOs Guide to Cutting Through AI Noise in Enterprises
CMOs must shift from being marketing operators to "signal architects" in an "AI everywhere" environment to manage the risks of AI technology debt and enterprise noise. Companies with "market-shaper" CMOs who integrate customer and market insights into strategy are 2.6 times more likely to exceed ...
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Activate First-Party Data Across the B2B Journey
Marketers lack confidence in succeeding without third-party cookies, and must shift from a compliance-first mindset to activating first-party data through dynamic, behavior-driven content experiences instead of form-gated PDFs. Data fragmentation and siloed systems kill lead generation; integrati...
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Primer raises $100M Series C for US growth and AI payments
Primer raised €86.2 million in Series C funding to expand its AI-powered payment platform, aiming for the US to contribute over a third of its revenue by 2028. The company’s platform addresses payment data fragmentation by recording over 400 data points per transaction, and it recently launched a...
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How OSI Solves ABM’s Biggest Data Challenge
The Open Semantic Interchange (OSI) standard solves the "ABM Gap" by enabling instant identity resolution across different platforms, allowing data like account IDs to carry standardized meaning that all tools understand without custom integration. OSI eliminates the "Integration Tax" by providin...
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Altara raises $7M to close data gaps slowing physical sciences
Altara, a San Francisco startup founded in 2025, raised $7 million in seed funding led by Greylock to build an AI layer that unifies fragmented technical data from batteries, semiconductors, and medical devices into a single platform. The AI platform aims to replace the manual "scavenger hunt" en...
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Benchmark VCs Back Pursuit to Help Companies Sell to Government
Mike Vichich founded Pursuit in 2023 to help companies identify and win government contracts, motivated by the difficulty of selling to the public sector. Pursuit ingests public data from 11,000 state, local, and education entities, using AI to analyze budgets and proposals and surface agencies l...
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PPC vs. SEO: Who Really Controls Branded Search?
Branded search problems like rising PPC cost-per-click and declining organic click-through rate are often treated as separate issues, but they actually stem from changes within a single, shared Search Engine Results Page (SERP). The core challenge is not a lack of data, but how it's used; teams m...
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CRM: The New Backbone of Customer Engagement
CRM has evolved from a digital filing cabinet for customer data into the central nervous system of customer engagement, serving as a single source of truth to guide marketing decisions and drive growth. Siloed data across fragmented martech stacks is the core problem, causing 75% of marketing cha...
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B2B Data Unification for Revenue Growth
A core problem in B2B companies is a broken feedback loop between marketing and sales, where fragmented data and conflicting incentives lead to inefficient spending and stagnant conversion rates. The solution requires rebuilding data infrastructure to create a unified view of the customer journey...
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AI Readiness: Are You Truly Prepared?
The primary risk in modern marketing is not adopting AI, but overconfidently deploying it with flawed data, as AI scales and operationalizes data errors rather than correcting them. A core problem is unreliable identity resolution, where AI models make decisions based on outdated, fragmented, or ...
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Glimpse Raises $35M From a16z After Y Combinator Pivot
Glimpse, a fintech startup, has raised $35 million in a Series A round led by Andreessen Horowitz, bringing its total funding to $52 million to automate the tracking and disputing of financial deductions for retail brands. The company addresses the widespread problem of invalid deductions, where ...
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Rivia Secures €13M to Power Clinical Trials with AI Agents
Rivia, a Zurich-based startup, has secured €13 million in funding to advance its AI-driven platform for actively managing and optimizing clinical trial operations, moving beyond passive data storage. The platform addresses data fragmentation in clinical research by integrating disparate sources a...
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New Relic Unveils AI Agent Platform & OpenTelemetry Tools
Businesses are seeking AI agent platforms to accelerate adoption, and New Relic has entered this competitive market with a no-code platform for building agents that monitor data and preempt issues. New Relic's platform focuses specifically on observability outcomes, integrates with tools like the...
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3 in 4 Marketers Struggle with Measurement
Most marketers report that their measurement systems are outdated, lacking the speed, accuracy, or trustworthiness needed to justify ROI in the modern digital landscape. Fragmented data and obsolete models create a costly disconnect between ad spend and results, leading to chronic underinvestment...
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Is Your Tech Stack Too Bloated?
The proliferation of AI and other marketing tools is creating a "marketing technology debt," where cluttered, disconnected software stacks waste budget and reduce productivity through complexity and underuse. Key warning signs of this problem include low team adoption, poor data integration, misa...
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Agentic Metadata: The Next Infrastructure Layer?
The detailed logs of AI agents' reasoning and actions, known as agentic metadata, are becoming essential for making autonomous systems trustworthy, efficient, and compliant. This metadata enables key applications like debugging workflows, optimizing costs by identifying inefficiencies, and ensuri...
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Cloud Security Is Lagging Behind
The rapid adoption of cloud technologies has created a significant security gap, with development velocity outpacing protective controls and leaving systems vulnerable to sophisticated, fast-moving attacks. Complex multicloud environments and accelerated software deployment, including AI-generate...
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