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Techday NZ
29-04-2025
- Business
- Techday NZ
Irrelevant data wastes hours daily as workplace AI falls short
A new report has found that 42% of the information employees access at work is irrelevant, leading to significant productivity losses and increased frustration among staff. The fifth annual EX Relevance Report titled "The Search for Relevance: Can AI Connect Employees to What Matters?" was released by Coveo, which collaborated with Arlington Research to survey 4,000 adults working for large companies in the United States and the United Kingdom. The research highlights ongoing challenges in the workplace, with employees on average wasting three hours each day searching for the information they need to do their jobs effectively. The report also explored the rapidly evolving role of artificial intelligence in addressing these challenges, particularly in relation to accurate and relevant information retrieval. According to the findings, 47% of employees feel burned out or frustrated due to not having the right tools or access to information required for success in their roles, representing a 12% increase compared to the previous year. Of those surveyed, 47% indicated that essential information is spread across multiple applications, identifying fragmented knowledge as a key barrier to productivity. The study found that younger employees, including those from Generation Z and the Millennial cohort, are particularly affected. Gen Z employees reported searching for information for 30% of their day on average, while Millennials spent 29% of their working day on similar searches. Across the broader workforce, employees accessed an average of four different data sources in attempts to locate information relevant to their jobs. Additionally, one quarter of employees acknowledged they do not know where to begin searching for necessary information, suggesting gaps in both knowledge management practices and employee training. The prevalence of irrelevant information adds to this challenge, as 42% of the content encountered while searching is not applicable to employees' roles. An emerging issue outlined in the report involves the accuracy of artificial intelligence tools. Nearly half (49%) of employees reported experiencing so-called "AI hallucinations", a term referring to instances where AI generates incorrect or misleading information, emphasising the need for reliable and context-sensitive AI solutions in the workplace. Despite these concerns, there is growing recognition of the potential of generative AI technologies to address productivity and information relevance. Customer self-service was identified as the top use case for generative AI adoption at 34%, with knowledge management (28%), employee productivity (26%), and self-service for data and analytics (26%) following closely. 42% of respondents indicated their organisations have invested in generative AI and related training aimed at improving job performance. Commenting on the report, John Grosshans, Chief Operating Officer at Coveo, said, "Employees are empowered by the potential of advanced tools and intelligent solutions that can boost their productivity and well-being. In an age where artificial intelligence is more accessible than ever, it's essential to harness this potential to ensure employees can leverage it to its fullest. Relevance is key: employees need timely, tailored information through the channels they prefer. This report highlights how AI-search, unified knowledge platforms, and generative AI tools that are grounded in user context can help employees quickly find what they need, enhancing efficiency and creating a more seamless, rewarding work experience." The report suggests organisations could benefit from unified digital workplaces and AI-powered knowledge discovery tools. These strategies aim to centralise information and reduce time spent searching, in turn alleviating frustration and risk of burnout among staff. The findings indicate that, while digital transformation and AI integration remain central to future workplace strategies, there are substantial gaps in current implementations that need to be addressed to realise promised improvements in efficiency and employee experience.
Cision Canada
29-04-2025
- Business
- Cision Canada
Coveo EX Relevance Report Reveals 42% of Information Fails Employees: Too Much Data, Not Enough Relevance
47% report fragmented knowledge remains biggest obstacle to productivity, as frustrated employees say they waste hours daily searching for needed information , April 29, 2025 /CNW/ - Coveo (TSX: CVO), the leader in AI-Relevance, delivering best-in-class AI-search and generative experiences that maximize business outcomes at every point-of-experience, today announced its fifth annual EX Relevance Report, "The Search for Relevance: Can AI Connect Employees to What Matters?" To explore the critical trends shaping today's employee experiences, Coveo partnered with Arlington Research to survey 4,000 U.S. and U.K. adults who work at companies with 5000+ employees, surfacing the growing frustration with disconnected workplace tools, the importance of effective AI search, and the positive impact that accurate generative AI can have on employee proficiency. The report sheds light on how inefficient tools leave employees feeling overwhelmed, costing them an average of three hours daily searching for information. With nearly half (49%) also experiencing AI hallucinations, the need for reliable, contextually grounded AI tools is clear. There is an opportunity for enterprises to easily address these issues by adopting smarter, more tailored solutions, like unified digital workplaces and AI-powered knowledge discovery tools. "Employees are empowered by the potential of advanced tools and intelligent solutions that can boost their productivity and well-being," said John Grosshans, COO at Coveo. "In an age where artificial intelligence is more accessible than ever, it's essential to harness this potential to ensure employees can leverage it to its fullest. Relevance is key: employees need timely, tailored information through the channels they prefer. This report highlights how AI-search, unified knowledge platforms, and generative AI tools that are grounded in user context can help employees quickly find what they need, enhancing efficiency and creating a more seamless, rewarding work experience." Key findings include: Disconnected tools are fueling employee burnout: 47% of employees feel burned out or frustrated when they don't have the right tools or information to achieve success in their roles, up 12% from last year. In addition, 47% cited that the information they need is stored across multiple applications, which continues to be the largest hurdle for employees year-over-year. Excessive search times and irrelevant results cripple productivity, especially for Gen Z and Millennials: Employees report wasting an average of three hours per day searching for information, and say 42% of the information they sift through is irrelevant to their role. Younger demographics like Gen Z (30%) and Millennials (29%) reported higher search times. On average, employees search four different data sources to find information to do their jobs effectively. Compounding the problem, 25% of employees don't even know where to begin their search, highlighting potential gaps in employee training. GenAI investment stretches throughout the enterprise: While customer self-service remained the top application for generative AI exploration at 34%, numerous other use cases were noted: knowledge management (28%), employee productivity (26%), and self-service for data and analytics (26%) rounding out the top four. And 42% of respondents agree that their company has invested in GenAI tech and training to help them do their job better. The full report is now available for download. About Coveo Coveo brings superior AI-Relevance to every point-of-experience, transforming how enterprises connect with their customers and employees to maximize business outcomes. Relevance is about moving from persona to person, the degree to which the enterprise-wide content, products, recommendations, and advice presented to a person online aligns easily with their context, needs, preferences, behavior and intent, setting the competitive experience gold standard. Every person's journey is unique, and only AI can solve the complexity of tailoring experiences across massive, diverse audiences and large volumes and variety of content and products. Our Coveo AI-Relevance Platform™ ️enables enterprises to deliver hyper-personalization at every point-of-experience, unifying all their data securely, with the highest level of contextual and prescriptive accuracy while simultaneously optimizing business outcomes. Coveo brings AI-Relevance to the digital experiences of many of the world's premier and most innovative brands, serving millions of people across billions of interactions. What we believe is bold: Digital is table stakes, Relevance is not. It's the only way to win in the digital age. The Coveo AI-Relevance Platform™ is ISO 27001 and ISO 27018 certified, SOC2 compliant, HIPAA compatible, with a 99.999% SLA available. We are a Salesforce ISV Partner, an SAP EndorsedⓇ App, AWS ISV Accelerate Program member, an Adobe Gold Partner, MACH Alliance member, Optimizely Partner, Shopify Partner, and a Genesys AppFoundryⓇ ISV is a trademark of Coveo Solutions Inc. Stay up to date on the latest Coveo news and content by subscribing to the Coveo blog, and following Coveo on LinkedIn and YouTube. Forward-Looking Information This press release contains "forward-looking information" and "forward-looking statements" within the meaning of applicable securities laws (collectively, "forward-looking information"). This forward-looking information is identified by the use of terms and phrases such as "may", "would", "should", "could", "might", "will", "achieve", "occur", "expect", "intend", "estimate", "anticipate", "plan", "foresee", "believe", "continue", "target", "opportunity", "strategy", "scheduled", "outlook", "forecast", "projection", or "prospect", the negative of these terms and similar terminology, including references to assumptions, although not all forward-looking information contains these terms and phrases. In addition, any statements that refer to expectations, intentions, projections, or other characterizations of future events or circumstances contain forward-looking information. Statements containing forward-looking information are not historical facts but instead represent management's expectations, estimates, and projections regarding future events or circumstances.
