logo
‘Ping Fatigue': 4 Tips To Tackle This Silent Culprit Of Burnout

‘Ping Fatigue': 4 Tips To Tackle This Silent Culprit Of Burnout

Forbes06-04-2025

That pinging sound from your multiple devices could be your new American Idol. It's amazing how many of us feel slaves to the high-pitched sound and how few of us do anything about. April is National Stress Awareness month, a perfect time to pay attention to how pinging can annoy you like gnats at a picnic. But the seemingly innocuous sound is more serious than you might think if you're not fully aware of the stress it imposes in your life. When unmanaged, the constant pinging could turn into chronic stress and lead to 'ping fatigue'--a silent contributor to burnout.
'Do you know that feeling of a complete onslaught of notifications during your busy workday?" asks Peter Duris, CEO and co-founder of AI career app Kickresume. 'That's ping fatigue,' Duris answers. 'Many workers nowadays are logged into multiple apps and platforms which can send you notifications throughout the day. It can be an automatic message to let you know that someone's editing your file, a meeting's about to start or that someone's trying to contact you.'
'Ping fatigue' refers to the state of mental exhaustion that leads to an 'always on' attitude when you receive an endless stream of digital notifications from platforms like Teams, Slack, email and Google Drive. It can leave you stressed, distracted and unable to maintain your focus.
Duris is convinced that this growing issue exhausts the energy of office and tech workers in ways they're unaware of, adding, 'It's one of the things that silently contributes to burnout for office and tech workers.' Plus, he says these multiple distractions can make it more difficult to focus and get into a flow state where you feel able to tackle your work.
'There should always be a balance between getting on with your tasks and being available to your colleagues, especially if you work in a collaborative environment, according to Duris. 'I wouldn't advise anybody to feel like they are 'always on'—especially outside of work hours.'
Duris offers four tips on how you can manage your devices and prevent "ping fatigue.'
1. 'Try setting aside specific times for checking your emails and other messages. If you need a period of deep work, you can always turn off your notifications for some time or just simply turn off the sound on your computer.'
2. 'If you use Slack or Teams, you can set your status to 'busy' to let everyone know ahead of time that you might respond slower.'
3. 'Take scheduled breaks away from the screen if you can, especially during your lunch break. There's nothing better than eating with a calm mind.'
4. 'Unsubscribing to the newsletters you don't read can help you cut down the incoming notifications.'
1. 'Avoid sending messages outside of work hours. Your team will be grateful to not feel like they have to be 'always on'. If you have a great idea that you think you might forget in minutes, just write the email and schedule it for the next morning.'
2. 'Send company updates in batches for conciseness. Friendly reminder: HR, senior leadership and employee committees may need to collaborate on this for an effective weekly communications.'
3. 'Try introducing a pre-planned 'quiet time'. Many IT companies swear by it nowadays. That's when no communication is allowed, and all team members work on their own projects uninterrupted.'
Ironically, the very devices that reduce stress, save time and improve your life can exacerbate stress if not properly managed. Just because your device pings doesn't mean you have to answer it on cue, letting it become the boss of your mind. Allowing intrusive pinging to call the shots automatically puts you in a foot race that can leave you frazzled. It's time to end your love affair with pinging devices.
Tackling 'ping fatigue' can bring you more peace of mind, improve your focus and engagement and boost your productivity in the long run. Duris concludes that cutting down on 'ping fatigue"can make you more productive and strengthen your focus. 'The less notifications throughout the day, the better. And of course, it can also make work less stressful, with fewer competing distractions.' He concludes that when you're relaxed, you're better able to problem-solve and deal with daily work challenges.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Enterprise Data Management (EDM): Everything You Need To Know
Enterprise Data Management (EDM): Everything You Need To Know

Forbes

timean hour ago

  • Forbes

Enterprise Data Management (EDM): Everything You Need To Know

Editorial Note: We earn a commission from partner links on Forbes Advisor. Commissions do not affect our editors' opinions or evaluations. Enterprise data management (EDM) refers to the systems and strategies an organization uses to govern its data so that it's accurate, accessible and secure throughout its lifecycle. It's far more than just infrastructure. EDM turns data into a usable business asset that informs decisions, streamlines operations and shapes customer experiences. As companies handle larger and more complex data environments, EDM plays an even greater role in how information is organized, shared and applied across teams. What Is Enterprise Data Management (EDM)? Enterprise data management (EDM) is the framework organizations use to manage data across systems, teams and workflows. It supports both day-to-day operations and long-term strategic goals by making the policies, procedures and technologies accurate, accessible, consistent and secure. These qualities not only support operational efficiency but also uphold data quality, integrity and governance throughout the information lifecycle. Rather than acting as a passive data repository, EDM structures and maintains information in ways that actively support business strategy. It brings structure and oversight to fragmented data environments, turning scattered inputs into a cohesive system where data is properly categorized, quality-checked and made accessible to the right people at the right time. A national retailer might connect point-of-sale data with warehouse inventory systems to avoid overstocking products that aren't selling. This kind of coordination turns raw information into something immediately useful. Effective EDM strategies rely on tools like data warehouses, where information is aggregated and analyzed, or data lakes, where raw data is stored for future use. The goal is to turn data into a valuable asset that provides insights and drives business growth. In fact, recent industry studies by 451 Research shows that companies using data lakes and similar architectures often see stronger results than those that don't. Over half of surveyed enterprises already have a data lake in place, and nearly a quarter plan to implement one within the next few years. These organizations are more likely to use technologies like artificial intelligence and real-time data streams to guide decisions, improve efficiency and spot revenue opportunities ahead of their competitors. Benefits of Implementing EDM When data lives in too many places or follows different rules, it becomes harder to trust, harder to use and easier to overlook. EDM helps fix that by creating some much-needed consistency—so teams can spend less time cleaning up data and more time putting it to work. When data comes from different systems or teams, inconsistencies are almost guaranteed. EDM helps clean that up by applying the same standards to how data is collected and stored. With fewer discrepancies, it's easier to work with information you can actually trust. Decisions fall apart when the data behind them is unreliable. EDM helps organize information so it reflects what's actually happening, giving teams the context they need to make choices with more confidence. An IBM survey found that 42% of enterprises with over 1,000 employees have already deployed artificial intelligence across their operations. When paired with EDM, these technologies help organizations interpret patterns faster and respond to problems with fewer delays. Say a restaurant group notices customer complaints about a popular seasonal dish. With EDM, they can compare that feedback to actual sales data and identify whether the problem lies with the recipe, pricing or timing, rather than guessing or relying on anecdotal feedback. Without a clear system, even simple tasks can get hung up. EDM makes sure information is stored in the right place and kept up to date, which helps teams move faster and communicate better. For example, a small accounting firm could sync timesheets with its billing platform to automatically generate invoices. Without EDM, that process might involve manual data entry, email chains and unnecessary delays. Laws around data use aren't optional, and the stakes are high. EDM helps keep things in check by setting clear standards for how information is handled, which makes it easier to stay in bounds and catch issues early. EDM reduces waste by avoiding duplication and cleaning up storage. That kind of clarity can also point to smarter ways to serve customers, plan products or improve how the business runs overall. Challenges in Enterprise Data Management EDM offers clear advantages, but building and maintaining a system that actually works takes real effort. Many businesses run into roadblocks that limit the value of their data or prevent teams from using it effectively. Understanding these challenges is the first step toward solving them. One of the most common issues is that data lives in too many places. Different departments use different tools, collect different metrics and store information in ways that don't easily connect. Over time, this creates blind spots, duplication and a lot of wasted effort trying to piece things together manually. Breaking down these silos often requires more than just new technology. Yes, cloud-based storage or integrated platforms can help. But just as important are clear policies, shared standards and leadership buy-in. Without that kind of coordination, even the best tools won't fix the problem. As companies gather more data, they also face more risk if something goes wrong. Whether it's customer records, financial details or internal reports, every system that stores or moves data can become a target. Data breaches not only hurt reputations, but they can also bring legal trouble and serious financial penalties. A good EDM approach includes security from the ground up. That might mean stronger encryption, better access controls or more frequent audits. But no system is secure if people don't know how to use it safely. Training, awareness and clear protocols all play a major role in reducing exposure. In a healthcare setting, EDM might control who can view patient information based on job role. Billing staff would only see what's relevant to insurance processing, while clinicians retain access to the full medical record. Getting different systems to talk to each other isn't always straightforward. Older tools may not support modern data formats. New platforms might require custom connectors. And in fast-moving businesses, those integrations often need to be updated or replaced to keep up with changing needs. A logistics company using outdated inventory software might still want to upgrade its customer relationship platform. EDM allows those tools to connect through middleware, so shipment data can pass between them cleanly. While middleware and APIs are common solutions, they're only effective when integration is seen as an ongoing process, not a one-time project. That means revisiting system design, checking for redundancies and planning ahead for future upgrades, not just reacting when something breaks. What works for a 50-person company can break at 500. As the volume and variety of data grows, systems that once felt organized can become cluttered and unreliable. Reports run slower, access controls become harder to manage and storage costs climb without warning. This doesn't mean you can just buy more capacity. Instead, you need to think ahead by choosing tools and processes that can evolve with your business. Cloud infrastructure helps, but only if it's configured with flexibility in mind. Regular audits of data workflows can flag bottlenecks before they can slow things down. Enterprise data management isn't something most teams can handle without specialized experience. It often requires people who know how to work with databases, understand privacy laws, manage cloud systems and connect tools that don't naturally talk to each other. That level of technical fluency can be tough to find, especially for smaller businesses. In fact, a recent Gartner survey reported that 45% of data and analytics leaders consider skill and staffing shortages a top challenge in implementing their data strategies. Even companies with strong infrastructure can fall short if they don't have enough qualified people to support and evolve their systems. Instead of hiring a full in-house team from the start, many companies take a phased approach. Some bring in consultants or contractors to set up systems and train internal staff. Others focus on building skills within the team they already have. Either way, documenting processes and creating clear guidelines early on makes it easier to grow into a more self-sufficient setup over time. Key Elements of Enterprise Data Management Most businesses manage many different types of data, such as customer records, transactions, inventory, vendor details, employee files and financial information. Managing that data isn't just about storage. EDM focuses on organizing, securing and using it in ways that make the information useful across the organization. Here's what you need to know. Useful data starts with accuracy. That means checking for errors, filling in missing details and keeping formats consistent. EDM systems can help with automation, but people still need to decide what 'clean' looks like. Teams should set clear standards, document them and train regularly so bad data doesn't quietly pile up in the background. Data governance in EDM is about crafting unique, organization-specific policies. A policy on paper isn't enough. The rules have to be built into everyday processes. This involves assigning clear roles and responsibilities for data management and creating a culture where data is treated as a valuable asset. It might include forming cross-functional teams that meet regularly to discuss data-related challenges and successes, ensuring governance is not just policy-based but also practice-oriented. Modern data security in EDM goes beyond traditional measures and incorporates advanced encryption methods, cutting-edge access control technologies such as biometric verification and even the use of blockchain for heightened data integrity. Conducting regular, innovative security training exercises ensures the team is always prepared for new types of cyber threats. Most organizations use multiple systems, which means data is scattered by default. Data integration focuses on bringing together diverse data sets in a meaningful way. Custom API integrations, cloud-based data blending tools and state-of-the-art data management platforms can merge data from various sources. This not only combines data but also enriches its interpretability, making it more useful for different business divisions, as it gives teams the full picture rather than just a stack of disconnected data points. Enterprise data management gives businesses a way to manage information with purpose. Instead of dealing with disconnected tools or outdated records, companies can build systems that make their data easier to trust and use. That helps teams work more efficiently, avoid mistakes and meet regulatory requirements without scrambling. When done right, EDM turns information into something practical—a tool for making smarter decisions and solving real problems. Frequently Asked Questions (FAQs) EDM (enterprise data management) is an overarching approach that focuses on how data is stored, shared and used across an entire organization. In contrast, MDM (master data management) is a subset of EDM that specifically targets the management and governance of critical business data such as customer or product details. A company might use one platform to collect information from sales, billing and customer service . This lets teams see what's happening across departments without jumping between systems or chasing missing details. Enterprise data management typically includes a wide variety of data types such as customer analytics , transaction records, employee details, financial data, supply chain information and operational metrics. This data is gathered from various sources within the organization to support decision-making and business processes. Examples of enterprise data management software include SAP Master Data Governance, Oracle Data Relationship Management, IBM InfoSphere and Microsoft SQL Server Master Data Services. These tools help organizations manage, consolidate and use their data efficiently.

Skyline Corporate Communications Group, LLC Announces Sponsorship and Attendance at the ORY APAC-US Conference, July 8th – 9th in Singapore, Co-Hosted by Nasdaq
Skyline Corporate Communications Group, LLC Announces Sponsorship and Attendance at the ORY APAC-US Conference, July 8th – 9th in Singapore, Co-Hosted by Nasdaq

Yahoo

timean hour ago

  • Yahoo

Skyline Corporate Communications Group, LLC Announces Sponsorship and Attendance at the ORY APAC-US Conference, July 8th – 9th in Singapore, Co-Hosted by Nasdaq

NEW YORK, June 23, 2025 (GLOBE NEWSWIRE) -- Skyline Corporate Communications Group, LLC, a provider of strategic investor relations and corporate communications advisory services to publicly traded and pre-IPO companies globally, today announced that it will attend and be an Event Sponsor at the Third Annual ORY APAC-US Conference at the Capella Singapore Hotel, July 8th - 9th, 2025 on Sentosa Island in Singapore. ORY APAC-US 2025, co-hosted by NASDAQ and New York-based law firm Ortoli Rosenstadt LLP, is a venue for financial market professionals, investors and companies across the globe dedicated to fostering growth in the APAC region. This year's event will feature discussions and presentations focusing on: How AI is reshaping capital markets, investment strategies, and business operations; Fresh insights into U.S. capital markets, Asia's evolving business environment, and the growing impact of AI on both; New pathways being built for cross-border partnerships and multi-market engagement; Fostering collaboration across borders — with a strong emphasis on AI integration and cross-market synergy; Input from Nasdaq-listed companies on leveraging public status — and emerging technologies like AI — to unlock new business opportunities across Southeast Asia, Greater China, and the wider region; and Nasdaq representative updates on the latest shifts in the regulatory landscape — including AI-related governance — and what these developments mean for market participants globally. 'With APAC and Singapore continuing to experience remarkable growth across multiple sectors, the ORY APAC-US Conference has become an exciting forum for business and technological collaboration between East and West,' said Skyline Corporate Communications Group, LLC's President Scott Powell. 'We are pleased to be a Sponsor of this notable, Nasdaq co-hosted event and look forward to meeting many innovative and high-growth companies at the conference and in Singapore.' For more information and registration details on the ORY APAC-US conference, please visit: About ORY APAC-USThe Conference's mission is to foster growth, encourage social interaction, and facilitate the exchange of ideas related to the U.S. capital markets. ORY APAC-US is owned and managed by New York-based law firm Ortoli Rosenstadt LLP and its Singapore affiliate Ortoli Rosenstadt Ye Ptd. Ltd., which serves as the firm's flagship office in Asia. Ortoli Rosenstadt Ye Ptd. Ltd.'s strategic location in Singapore allows it to assist emerging growth companies throughout Asia in their worldwide cross-border activities, and its specialized legal expertise allows it to act as a bridge between East and West. About Skyline Corporate Communications Group, LLCSkyline Corporate Communications Group, LLC provides strategic investor relations and corporate communications advisory services to publicly traded and pre-IPO companies throughout the globe. Our team has worked with hundreds of U.S. listed public companies from around the globe across diverse industries and various market caps. We have experience with shareholder activism and crisis communications and also work with late-stage private companies to help prepare them to enter the public marketplace. To learn more about Skyline Corporate Communications Group, LLC, visit: Contact:Skyline Corporate Communications Group, LLC Scott Powell, President 1177 Avenue of the Americas, 5th Floor New York, New York 10036 Office: (646) 893-5835 x2 Email: info@ Website: in to access your portfolio

Travel Industry's Quiet AI Talent Wars Are Heating Up
Travel Industry's Quiet AI Talent Wars Are Heating Up

Skift

timean hour ago

  • Skift

Travel Industry's Quiet AI Talent Wars Are Heating Up

A job-posts deep-dive shows how cruise lines, hotels, theme parks, and OTAs are staffing up for an AI future. Every so often, a single LinkedIn job ad says more about strategy than a 40-page 10-K. Last week I dove into AI listings across travel, decoding four that reveal how the biggest brands are reorganizing around machine intelligence. Together they form a breadcrumb trail from C-suite power moves to nuts-and-bolts product work. We're calling this new series Skift AI Talent Tracker. Think of it as a recurring, detective-style column, scouring hiring boards for the real story behind corporate press releases about AI developments: raw signals, a quick take, and why it matters for the people who move the industry. Below are four companies with my brief analysis, based on their recent LinkedIn job postings. 1. Royal Caribbean | A Quiet Chief AI Officer Promotion Royal Caribbean Group quietly promoted Matthew Denesuk, Ph.D., to Chief AI Officer, according to his LinkedIn profile, one of the first roles of its kind in travel. Can't wait to see how this plays out. We have RC Group CEO Jason Liberty on stage at Skift Global Forum 2025 in September; you can bet this will come up. Who else among large or mid-cap public travel companies has hired a Chief AI Officer or equivalent? The only other ones I know are Brand USA, who put Janette Roush in that seat months ago, already ahead of the curve. 2. Universal Orlando | Theme-Park Test Lab Theme parks are perfect AI sandboxes, closed, sensor-rich, and guest-dense. Universal Orlando Resort is hiring a head of AI, and it looks like they're just starting to explore its potential (presumably GenAI): 'The Director of Artificial Intelligence provides end-to-end technical leadership for AI and automation initiatives across the enterprise, navigating organizational vision, directing advanced ML solutions, and aligning AI efforts with broader strategic goals.' 3. Marriott | Betting Big on a Single AI Messaging Brain Found this fascinating job posting from Marriott International, and you can read the tea leaves about their AI strategy. It's hiring a Senior Director of Engineering & Architecture to lead the design of a centralized messaging platform orchestrating guest communications across call centers, hotel front desks, web chat, mobile apps, WhatsApp, SMS, iMessage, and more. This centralized approach contrasts sharply with lots of small experiments happening at other chains, aligning precisely with what Marriott CTO Naveen Manga hinted at our Skift Data + AI Summit when he emphasized efficiency through centralization. Here's another intriguing twist: it's a temporary but full-time position. My guess? Marriott wants to rapidly build this infrastructure without navigating the internal approval red tape needed for permanent executive headcount. At $68–$112 an hour (~$142K–$232K/year before benefits), that's solid senior-tech money for hospitality. All in all, fascinating. 4. Priceline | Penny Gets a Full-Stack Makeover Everyone assumes Booking Holdings is all-in on as its AI flagship, attracting most resources and attention. But here's a surprise: Priceline is quietly staffing four heavyweight roles to build out Penny, its AI travel assistant most people haven't even heard of: Senior PM, AI Experiences – builds orchestration layer, memory & reasoning (mini-AutoGPT for travel). – builds orchestration layer, memory & reasoning (mini-AutoGPT for travel). Staff Multimodal Product Designer – gives Penny voice, chat, touch & vision. – gives Penny voice, chat, touch & vision. Senior PM, Mobile AI – makes Penny feel native on iOS/Android, not bolted on. – makes Penny feel native on iOS/Android, not bolted on. Senior PM, Conversational AI – fine-tunes personality, prompts, and emotional tone. That's the whole stack: brains, face, body, and soul. Why Priceline? Being the underdog might give it room to experiment freely. By incubating a standalone AI concierge in the lighter-regulation U.S. market, Priceline can iterate quickly and quietly ship innovations that later flow upstream to its larger Dutch sibling. Whatever the reason, Priceline is positioning itself as a quiet product lab for AI in travel. Worth watching, not because it's flashy, but because they're actually building something real. For now, that's it. Follow the job ads and you'll spot travel's next big bets months before the official announcement. Cruises, parks, hotels, OTAs – they're all converging on one reality: AI talent is now the toughest first-class upgrade to snag on a transatlantic red-eye. Keep watching Skift AI Talent Tracker; the future of travel is being written one job requisition at a time.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store