Latest news with #PhilipBrittan
Forbes
4 days 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 The architecture also needs to be a self-healing system capable of flagging outdated information, establishing governance frameworks and tracking knowledge utilization.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
