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Forbes
a day ago
- Business
- Forbes
Using Enterprise Intelligence To Solve The Knowledge Crisis
Philip Brittan is CEO of Bloomfire, pioneering Enterprise Intelligence solutions for Fortune 500 companies. As someone who has built market data systems, I can attest to the quantifiable cost of data discrepancy. This same principle can be applied to any organization's knowledge assets. At a previous company where I worked, I faced this reality directly. We had hundreds of products with conflicting data standards and siloed expertise. Market data appeared differently across systems, creating confusion and undermining customer trust. The consequences included redundant development and missed market opportunities. Research confirms this pattern across industries. Fortune 500 companies collectively lose $30 billion annually by failing to share knowledge effectively. On the other hand, our company survey of over 10,000 professionals across 115 companies found that when companies organize their knowledge effectively, it directly impacts as much as 25% of their annual revenue. Beyond Traditional Knowledge Management In my experience, traditional approaches to knowledge management, enterprise search and business intelligence tend to operate in limiting silos. Enterprise intelligence represents their natural convergence and evolution, transforming knowledge from static repositories into a dynamic, self-healing system. Enterprise intelligence is a framework for turning fragmented organizational knowledge into a unified, accessible resource. It starts with creating a unified knowledge architecture that deploys intelligent search capabilities. The architecture also needs to be a self-healing system capable of flagging outdated information, establishing governance frameworks and tracking knowledge utilization. Unlike traditional content management systems that simply store files, an enterprise intelligence platform can actively manage knowledge as a strategic asset, similar to how financial systems manage capital. Enterprise intelligence can create value through two mechanisms I've seen transform organizations: 1. Network Effects: Knowledge flowing between departments multiplies value exponentially. Our research found that organizations investing in structured data and knowledge practices experience a 47% boost in their ability to hit objectives and key results (OKRs) compared to less mature peers. 2. Self-Healing Systems: Knowledge assets can rapidly depreciate without maintenance. Enterprise intelligence systems can continuously monitor for redundancies, conflicts, and gaps, flagging discrepancies and initiating review processes automatically. Potential Financial Impact Implementing enterprise intelligence practices can deliver financial returns in several ways: • Productivity Transformation: The 2025 State of Teams report from Atlassian finds that employees spend a quarter of their workweek searching for information. According to our research, a robust knowledge management program can enhance productivity by reducing the average time employees spend searching for information from 8.5 hours to 4.6—a decrease of approximately 46%. • Onboarding Acceleration: New employees typically require between six and twelve months to reach full productivity. SHRM research has found that well-structured onboarding can increase new-hire productivity by up to 50% (subscription required). • Customer Experience Enhancement: We also found that companies with strong knowledge management practices achieved greater customer satisfaction rates and an increase in customer retention. Similarly, support teams with effective knowledge bases can typically resolve cases faster. • The AI Imperative: Having built mission-critical data systems, I know that "garbage in, garbage out" remains an inviolable principle. When trained on redundant, outdated or conflicting information, AI systems can produce incorrect answers with high confidence, leading organizations down costly wrong paths. AI investments built on fragmented knowledge bases can lead to diminishing returns, but proper implementation of an enterprise intelligence framework can help ensure high-quality knowledge flows that maximize AI effectiveness while minimizing risks. Treating Knowledge As Capital Successful implementation of enterprise intelligence requires managing knowledge with financial-grade rigor. Here's how to harness this framework for your organization: 1. Conduct a knowledge audit. Measure how many systems house critical information, quantify how much time employees spend searching, and track how quickly your new hires reach proficiency. 2. Establish asset classifications. Organize your company's knowledge into three categories: intellectual property (patents and methodologies); explicit knowledge (documented processes and insights); and tacit knowledge (human expertise requiring capture before employee departures). 3. Implement a federated governance model. Create a Center of Excellence with clear standards for how your enterprise intelligence framework will function. Also, embed knowledge champions across departments. I recommend starting with two high-value departments where knowledge-sharing will likely deliver immediate value. Once you have a process in place that is achieving the desired results, begin expanding systematically. Final Thoughts In my experience, organizations implementing enterprise intelligence typically achieve payback within six to 12 months. The long-term advantage comes from the compound effect of organizational intelligence, similar to the transformation that financial markets typically experienced when moving from manual to electronic trading. As noted by Mercer, bad data equals big risk. Companies that treat knowledge as a continuously evolving, revenue-driving force rather than static content have shown performance improvements across all key metrics. By taking action now, you can turn your company's knowledge into a strategic asset that drives measurable returns. Forbes Business Council is the foremost growth and networking organization for business owners and leaders. Do I qualify?
Business Wire
07-07-2025
- Business
- Business Wire
Bloomfire Recognized for AI Leadership with Dual Industry Awards from KMWorld and CIOReview
AUSTIN, Texas--(BUSINESS WIRE)-- Bloomfire, the AI-powered knowledge management platform pioneering the shift to Enterprise Intelligence, today announced it has received two major accolades: a spot on CIOReview's 2025 list of Top AI Knowledge Management Software Platforms and Tools for the second year running and inclusion in KMWorld's AI 100. These recognitions reflect Bloomfire's growing impact in transforming enterprise knowledge from static content into dynamic, AI-ready intelligence. These honors arrive at a time when organizations are under pressure to turn fragmented information into strategic advantage. Bloomfire's Enterprise Intelligence model addresses this head-on, going beyond traditional store-and-search systems to surface real-time insights that drive decision-making. Rather than treating knowledge as a passive archive, Bloomfire's platform creates a self-healing, context-aware system that connects siloed information, eliminates content gaps, and proactively delivers actionable intelligence directly into workflows. Redefining Knowledge Management Through Enterprise Intelligence "These awards validate our vision that the future belongs to organizations that master Enterprise Intelligence," said Philip Brittan, CEO of Bloomfire. "We're not just storing knowledge—we're creating dynamic systems that ensure insights flow across organizations like a nervous system, raising the capability of every employee and decreasing friction in decision-making. In a world drowning in data, the true winners will be companies that transform individual expertise into collective intelligence, and that's exactly what Enterprise Intelligence enables." The KMWorld AI 100 honors innovative knowledge management vendors that are successfully infusing their offerings with AI and related technologies. The list highlights companies that demonstrate exceptional capability in empowering intelligent knowledge management across enterprises. Meanwhile, CIOReview's Top AI Management Software Platform and Tools recognizes Bloomfire's proven success in helping businesses responsibly leverage generative AI throughout their operations, delivering measurable improvements in productivity and decision velocity. Driving Measurable Business Impact Bloomfire's recent report, The Value of Enterprise Intelligence, reveals that inefficient knowledge management practices directly impact an average of 25% of a business's annual revenue. For Fortune 500 companies, this translates to approximately $2.4 billion in enterprise value at stake annually. The Bloomfire platform addresses these inefficiencies by creating intelligent connective tissue that seamlessly links people, data, processes, and technologies, eliminating the friction of information silos. "It's easy to become overwhelmed by the amount of information about AI, particularly generative AI, that we encounter daily," said Marydee Ojala, editor-in-chief of KMWorld. "The ability of AI technologies to process vast amounts of data, recognize patterns that humans can't see, and generate new knowledge and insights is remarkable. Companies like Bloomfire that are successfully integrating these capabilities into practical knowledge management solutions represent the future of how organizations will harness their intellectual assets." "Bloomfire's recognition as a top AI knowledge management platform reflects their commitment to solving one of enterprise technology's most persistent challenges," added Justin Smith, Managing Editor at CIOReview. "Their Enterprise Intelligence approach demonstrates how AI can move beyond simple automation to become a strategic enabler that transforms how organizations think, collaborate, and compete in today's knowledge economy." Bloomfire's AI-powered search, dynamic knowledge curation, and intuitive collaboration capabilities transform scattered knowledge into a responsive, AI-ready foundation for better decisions—enabling teams to move faster, make smarter decisions, and drive measurable impact. To learn more, visit About Bloomfire Bloomfire is the AI-powered knowledge management platform that transforms organizational knowledge into Enterprise Intelligence. We create the intelligent connective tissue that seamlessly links people, data, processes, and technologies, eliminating the friction of information silos. With AI-powered search, dynamic knowledge curation, and intuitive collaboration, Bloomfire turns scattered knowledge into a living, breathing nervous system for organizations—empowering teams to move faster, make smarter decisions, and drive real impact. Bloomfire is backed by Primus Capital, a growth-oriented private equity firm. For more information, visit
Harvard Business Review
24-04-2025
- Business
- Harvard Business Review
How Knowledge Mismanagement is Costing Your Company Millions - SPONSOR CONTENT FROM BLOOMFIRE
Executives are laser-focused on optimizing their most valuable assets – people, intellectual property, and proprietary technology. But many overlook one asset that has the power to drive revenue, productivity, and innovation: enterprise knowledge. Inefficiency directly costs a business an average of 25% of its annual revenue, according to Bloomfire's Value of Enterprise Intelligence 2025 report. For a Fortune 500 company with $9 billion in revenue, that can translate to $2.4 billion in enterprise value annually—hurting revenue and productivity, stifling innovation, and increasing operating costs. Many organizations regard knowledge as an afterthought rather than a business asset that drives financial performance. Knowledge often remains unaccounted for on balance sheets, hidden in siloed systems, and mismanaged to the point of becoming a liability. Redundant, trivial, conflicting, and outdated information can cloud decision making that fails to deliver key results. It's not knowledge itself that's the problem, but how it's managed, accessed, and activated. Embracing the strategy of Enterprise Intelligence can represent a fundamental shift: instead of treating knowledge as something to store and retrieve, Enterprise Intelligence transforms knowledge into a continuously evolving, revenue-driving force. Organizations that can fully activate their knowledge through AI-powered insights, intelligent search, and dynamic knowledge orchestration can see a network effect delivering measurable business results, such as: • 47% higher success in achieving objectives and key results (OKRs) • 39% improvement in teams' speed and efficiency • A 23% lift in productivity as measured by revenue per employee Without a plan to optimize Enterprise Intelligence, companies may be leaving billions of dollars on the table. The good news? A solution is within reach. Knowledge on the Balance Sheet Some organizations that attempt to account for their knowledge assets typically lump them in with intangibles like brand value and goodwill. This lack of precision undervalues the role of knowledge in driving revenue and operational efficiency. Even worse, it allows critical knowledge to depreciate, just as a physical asset would—but without oversight or maintenance. The financial impact of poor knowledge management (KM) is staggering: • Employees waste an average of 10% of their workweek searching for information they need to do their job. • Siloed knowledge slows cross-functional collaboration up to 30%, leading to redundant work and misalignment. • The average company loses $12.9 million annually due to poor data quality, according to Gartner. With knowledge disconnected, organizations lose efficiency and revenue in unrealized opportunities across every critical business function. The Value of Enterprise Intelligence 2025 report, based on six months of data from 10,000 customers at 115 companies, quantifies the potential revenue gains of optimizing knowledge-sharing and accessibility: • $685 million from increased workforce engagement • $384 million from higher-quality work and better decision-making • $106 million from employee motivation to learn new skills Knowledge Fractured Across Silos When your employees seek critical information scattered across shared drives, email threads, customer relationship management (CRM) systems, wikis, and individual workers' minds, they spend an average of 21% of their work time searching for knowledge and another 14% recreating information they couldn't find. Instead of treating enterprise knowledge as a dynamic, interconnected ecosystem, most organizations have built a patchwork of disconnected tools. Each tool solves a problem in isolation but creates friction at the intersections. The results? • AI models surface outdated knowledge with confidence, creating misinformation. • Chatbots give contradictory answers based on siloed department documentation. • Employees make strategic decisions using incomplete or incorrect data. Companies adopting an Enterprise Intelligence mindset can recover at least 50% of their employees' search efforts and, in turn, see a 30% increase in cross-functional collaboration. Instead of relying on fragmented systems that act as barriers, organizations that embrace Enterprise Intelligence create a unified digital infrastructure where knowledge flows seamlessly between teams, platforms, and workflows. Passive Storage to Active Intelligence Traditional KM and enterprise search (ES) practices are no longer enough. Simply capturing and storing information in a searchable system doesn't solve the bigger challenge of surfacing the right insights at the right time in the proper context. That's where the pathway to Enterprise Intelligence becomes clear. Many companies still view KM as a discipline and ES as a feature, with a layer of AI. Applying Enterprise Intelligence can combine these elements to move from static information storage to dynamic, AI-powered knowledge orchestration. Enterprise Intelligence is an evolution of knowledge management. It is the convergence of traditional knowledge management, enterprise search, and business intelligence with AI-driven automation to create a dynamic, continuously improving knowledge ecosystem. With Enterprise Intelligence, knowledge no longer sits in isolated repositories waiting to be retrieved. Instead, it: • Surfaces relevant insights automatically, reducing search time • Identifies and corrects outdated or redundant information • Ensures decision makers have contextualized, high-quality data at their fingertips By applying Enterprise Intelligence, organizations unlock a compounding network effect resulting in faster innovation cycles, higher revenue growth, improved employee retention, improved customer retention, and a stronger competitive edge. Companies implementing the principles of Enterprise Intelligence report: • 32% faster issue resolution in customer service teams • 28% average improvement in Net Promoter Scores (NPS) from hyper-personalized AI insights • 42% increase in service consistency across departments and geographies As the foundation for Enterprise Intelligence solidifies, organizations need to actively identify gaps, flag inconsistencies, and eliminate the redundant, outdated, conflicting, and trivial content that erodes decision-making over time. The next generation of enterprise platforms must be built around a self-healing knowledge base—one that not only stores knowledge but constantly improves it. This intelligent foundation supports AI-powered automation, streamlines workflows, and ensures that every insight delivered is accurate, up to date, and ready for action. Maintaining knowledge quality isn't just operational hygiene—it's the key to unlocking long-term digital transformation and sustainable competitive advantage. What Stands in the Way Becomes the Way Most organizations already have the information necessary to unlock these benefits, solve big problems, drive strategy, and gain a competitive advantage. The challenge is ensuring this knowledge is connected and contextualized, actively drives decision-making, and is always accessible to every employee. Recognizing and codifying knowledge as a business asset is the first step to embracing Enterprise Intelligence. Leaders who don't recognize knowledge as a core business asset risk stagnation, inefficiency, and missed opportunities. Those embracing Enterprise Intelligence, treating knowledge as a critical, revenue-driving asset, can unlock greater agility, profitability, and long-term resilience, potentially opening the door to millions of dollars in revenue from productivity growth and operational efficiency. The question is: Where does your company's knowledge fall on the balance sheet?
