Productivity

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  • View profile for Jeff Winter
    Jeff Winter Jeff Winter is an Influencer

    Industry 4.0 & Digital Transformation Enthusiast | Business Strategist | Avid Storyteller | Tech Geek | Public Speaker

    175,573 followers

    Data isn’t just the new oil—it’s a tidal wave, and the companies that learn to ride it will be the ones who thrive. In today’s digital era, ignorance isn’t bliss; it’s expensive. Every click, every transaction, every online breadcrumb we leave behind adds to an ocean of untapped potential. But here’s the kicker: It’s not about how much data you have—it’s about how much of it you actually use. You can collect terabytes of data, but if you can’t turn it into meaningful insights, it’s just noise. And in a world that moves this fast, staying in the dark about your data is like trying to read a map with the lights off. You need to do more than collect—you need to understand. Here’s how you can start diving deeper into your data instead of just skimming the surface: 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝟏: 𝐄𝐬𝐭𝐚𝐛𝐥𝐢𝐬𝐡 𝐆𝐨𝐚𝐥-𝐎𝐫𝐢𝐞𝐧𝐭𝐞𝐝 𝐐𝐮𝐞𝐫𝐢𝐞𝐬 • Tactic 1: Define specific, measurable objectives for each data analysis project. For instance, rather than a broad goal like "increase sales," aim for "identify factors that can increase sales in the 18-25 age group by 10% in the next quarter." • Tactic 2: Regularly review and adjust these objectives based on changing business needs and market trends to ensure your data queries remain relevant and targeted. 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝟐: 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞 𝐂𝐫𝐨𝐬𝐬-𝐃𝐞𝐩𝐚𝐫𝐭𝐦𝐞𝐧𝐭𝐚𝐥 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 • Tactic 1: Conduct regular interdepartmental meetings where different teams can present their data findings and insights. This practice encourages a holistic view of data and generates multifaceted questions. • Tactic 2: Implement a shared analytics platform where data from various departments can be accessed and analyzed collectively, facilitating a more comprehensive understanding of the business. 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐲 𝟑: 𝐀𝐩𝐩𝐥𝐲 𝐏𝐫𝐞𝐝𝐢𝐜𝐭𝐢𝐯𝐞 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 • Tactic 1: Utilize machine learning models to analyze current and historical data to predict future trends and behaviors. For example, use customer purchase history to forecast future buying patterns. • Tactic 2: Regularly update and refine your predictive models with new data, and use these models to generate specific, forward-looking questions that can guide business strategy. By adopting these strategies and tactics, companies can move beyond the surface level of data interpretation and dive into deeper, more meaningful analytics. It's about transforming data from a static resource into a dynamic tool for future growth and innovation. 𝐑𝐞𝐚𝐝 𝐅𝐮𝐥𝐥 𝐀𝐫𝐭𝐢𝐜𝐥𝐞: https://lnkd.in/dXtkKErW ******************************************* • Visit www.jeffwinterinsights.com for access to all my content and to stay current on Industry 4.0 and other cool tech trends • Ring the 🔔 for notifications!

  • View profile for Elfried Samba

    CEO & Co-founder @ Butterfly Effect | Ex-Gymshark Head of Social (Global)

    418,873 followers

    It’s simple math 🧐 I use to think that motivation was the key to monumental success. Long story short, it’s not. It’s about the little things you do every day that will take you from reasonable to slightly unreasonable to completely unreasonable progress. Your future is not defined by how motivated you are, but by your daily routines and systems. I believe in this so much that we named our company Butterfly 3ffect to reflect the value of incremental gains. we believe that that’s how the best people and brands grow. Here’s how you grow the small way: 1. Start by setting achievable goals, like reading one chapter of a book each day or going for a short walk 2. Practice gratitude by writing down three things you're thankful for every night before bed 3. Engage in daily self-reflection, even if it's just for a few minutes, to assess your thoughts and actions 4. Incorporate small acts of kindness into your daily routine, like holding the door for someone or offering a genuine compliment 5. Learn something new every day, whether it's a fun fact, a new word, or a new skill 6. Prioritise self-care by getting enough sleep, staying hydrated, and taking breaks when needed 7. Surround yourself with positive influences, whether it's uplifting books, supportive friends, or inspiring podcasts 8. Embrace failure as a learning opportunity and a stepping stone to growth 9. Stay consistent and patient, knowing that small progress over time adds up to significant improvement 10. Celebrate your achievements, no matter how small, to stay motivated and encouraged along the way.

  • View profile for Sahil Bloom
    Sahil Bloom Sahil Bloom is an Influencer

    NYT Bestselling Author | Entrepreneur | Investor

    715,582 followers

    The silent productivity killer you've never heard of... Attention Residue (and 3 strategies to fight back): The concept of "attention residue" was first identified by University of Washington business professor Dr. Sophie Leroy in 2009. The idea is quite simple: There is a cognitive cost to shifting your attention from one task to another. When our attention is shifted, there is a "residue" that remains in the brain and impairs our cognitive performance on the new task. Put differently, you may think your attention has fully shifted to the next task, but your brain has a lag—it thinks otherwise! It's relatively easy to find examples of this effect in your own life: • You get on a call but are still thinking about the prior call. • An email pops up during meeting and derails your focus. • You check your phone during a lecture and can't refocus afterwards. There are two key points worth noting here: 1. The research indicates it doesn't seem to matter whether the task switch is "macro" (i.e. moving from one major task to the next) or "micro" (i.e. pausing one major task for a quick check on some minor task). 2. The challenge is even more pronounced in a remote/hybrid world, where we're free to roam the internet, have our chat apps open, and check our phones all while appearing to be focused in a Zoom meeting. With apologies to any self-proclaimed proficient multitaskers, the research is very clear: Every single time you call upon your brain to move away from one task and toward another, you are hurting its performance—your work quality and efficiency suffer. Author Cal Newport puts it well: "If, like most, you rarely go more than 10–15 minutes without a just check, you have effectively put yourself in a persistent state of self-imposed cognitive handicap." Here are three strategies to manage attention residue and fight back: 1. Focus Work Blocks: Block time on your calendar for sprints of focused energy. Set a timer for a 45-90 minute window, close everything except the task at hand, and focus on one thing. It works wonders. 2. Take a Breather: Whenever possible, create open windows of 5-15 minutes between higher value tasks. Schedule 25-minute calls. Block those windows on your calendar. During them, take a walk or close your eyes and breathe. 3. Batch Processing: You still have to reply to messages and emails. Pick a few windows during the day when you will deeply focus on the task of processing and replying to these. Your response quality will go up from this batching, and they won't bleed into the rest of your day. Attention residue is a silent killer of your work quality and efficiency. Understanding it—and taking the steps to fight back—will have an immediate positive impact on your work and life. If you enjoyed this or learned something, share it with others and follow me Sahil Bloom for more in future! The beautiful visualization is by Roberto Ferraro.

  • View profile for Eric Partaker

    The CEO Coach | CEO of the Year | McKinsey, Skype | Bestselling Author | CEO Accelerator | Follow for strategy, company-building, and leadership development

    1,227,862 followers

    42 years ago, in his 1981 interview below, Steve Jobs shared an incredible analogy to understand the impact of Artificial Intelligence on human beings. In simple terms, human beings are tool makers. We create tools that amplify our abilities and free us up for more creative work. AI is such a tool. Here are 5 simple ways I've used ChatGPT in the the last month to amplify my creativity (it’s like I’ve added 5 amazing people to the team overnight!): 1) Startup Advisor I’m currently building my next tech company. I used ChatGPT to help identify the most critical success factors and the biggest vulnerabilities in the plan. I’m now focusing my creativity on the 20% of issues that will drive 80% of the success. 2) Growth Marketer I recently surveyed tens of thousands of my newsletter subscribers. ChatGPT quickly processed the unstructured text responses, revealing the topics that most interest my readers. I can now apply my creativity strategically and craft the content they desire. 3) Recruitment Consultant I'm soon to hire a pivotal team member who'll function as an executive assistant and project manager. ChatGPT assisted in swiftly crafting an enticing job ad, allowing me to channel my creativity into the selection and interview process. 4) AI Business Tutor Eager to sharpen my ability to leverage AI in business, I asked ChatGPT to test my understanding within the area. ChatGPT asked me questions, pointed out knowledge gaps, and provided improved answers to fill those gaps. Once again, I amplified my creative effort. 5) Time Management Coach Two weeks ago, I was pressed for time with only 90 minutes to finish prep for a workshop. I explained the situation to ChatGPT. It helped me break down the 90 minutes, better structure my thinking, and maximize my output. The workshop was a huge success, thanks to this AI-powered productivity boost. ________ Steve Jobs foresaw the incredible power of AI 42 years ago. Are you using AI to amplify your creativity? If you like content like this, follow me Eric Partaker, for more.

  • View profile for Vas Narasimhan
    Vas Narasimhan Vas Narasimhan is an Influencer

    Reimagining medicine as CEO of Novartis · Board member, Anthropic

    450,009 followers

    Right now, every CEO is wondering the same thing: “How can artificial intelligence help maximize our impact?”   Delivering on the promise of AI isn’t just good business, it has the potential to help us address some of society’s most pressing challenges. So today, I wanted to offer a closer look at how AI is helping us discover new medicines at Novartis.   The process of identifying a new drug, running patient clinical trials, and bringing it to market takes over a decade. Each new medicine costs on average $2 billion to develop, and we know nearly 9 in 10 of the treatments we work on will fail before they ever reach patients.   A major early step in that process is identifying individual targets in the body that we want to design a drug for. Once we identify that target, which most commonly is a protein, we look for molecules that might address the target’s underlying issue – ultimately those molecule structures form the basis for every successful treatment.   Unlocking the right protein and molecular structures is complex stuff – each step often takes years to get right and our scientists consider billions of potential chemical structures that might lead to effective and safe drug candidates.   AI offers us the chance to accelerate that process. Working with partners at Isomorphic Labs – including members of the Google DeepMind team that were awarded the Nobel Prize this year – we’re now able to do things like model how a protein folds and interacts with the molecules we design. AI models also make it possible for us to analyze different chemical structures simultaneously. It has the potential to add up to significant time savings for our drug development scientists and their work to predict what molecules might treat specific diseases better and faster.   We’re just at the beginning of what this technology can do. As we incorporate AI throughout Novartis’ work, I’m excited to see all the ways it helps us unlock the mysteries of human biology, so we can deliver better medicines that improve and extend patients’ lives.

  • View profile for Shreyas Doshi
    Shreyas Doshi Shreyas Doshi is an Influencer

    Startup advisor. ex-Stripe, Twitter, Google, Yahoo.

    245,915 followers

    The ability to create clarity when there’s no shortage of chaos, opinions, and competing priorities is a rare skill. In any reasonably competent company, this skill alone will help take you quite far, fairly quickly. Concretely, this means creating clarity on the main problems, clarity on the right solutions, and clarity on the action plan & priorities. Very few people can do this well even though most people possess the intelligence necessary to do it. This is because most people in the workplace have been conditioned to add more information, sound more clever, satisfy more stakeholders, and feign more precision & certainty than is possible. Few understand that clarity in a chaotic situation can only emerge from subtraction, never from addition. Clarity comes from communicating what stands out as most important, why it is most important, how it will be achieved, and last but not the least, giving people a way of thinking about why it is okay, even great, that we aren’t doing All The Other Things.

  • View profile for Pascal BORNET

    #1 AI & Automation Thought Leader | Award-Winning Expert | Best-Selling Author | Recognized Keynote Speaker | Agentic AI Pioneer | Forbes Tech Council | 2M+ Followers ✔️

    1,538,738 followers

    Wikipedia traffic is collapsing — and it’s not just because of AI. Wikipedia just reported an 8% drop in human visits in just a few months. The reason? AI systems — the same ones trained on Wikipedia — are now answering questions instead of sending users there. The free encyclopedia is being replaced by the knowledge it taught. That irony stopped me cold. I’ve always seen Wikipedia as the internet’s moral compass — messy, human, collaborative. When I was learning about anything new, I didn’t go for perfection. I went for context. Now I rarely visit it. AI gives me the answer instantly — but never the understanding that came from scrolling, cross-checking, exploring footnotes. Somewhere along the way, convenience quietly replaced curiosity. Here’s what’s really going on beneath the numbers: → AI is not just summarizing information — it’s absorbing the audience that once sustained the sources. → When answers appear directly on search pages, the human loop of reading, editing, and donating breaks. → And as fewer humans visit, fewer volunteers contribute — shrinking the very ecosystem AI depends on. It’s the classic paradox of automation: AI is killing the teachers it learned from. If knowledge itself is becoming automated, we need to rebuild the habit of participation. Here’s what I believe that looks like: ✅ Credit and link back to the human sources behind AI summaries. ✅ Support open, editable knowledge platforms — not just polished AI outputs. ✅ Remember that understanding comes from reading, not just receiving. Because if we stop feeding the commons of human knowledge, We won’t just lose Wikipedia — We’ll lose the curiosity that made the internet worth exploring in the first place. #AI #Wikipedia #KnowledgeEconomy #AIEthics #Publishing #InformationFuture #DigitalCulture

  • View profile for Nick Bloom
    Nick Bloom Nick Bloom is an Influencer

    Stanford Professor | LinkedIn Top Voice In Remote Work | Co-Founder wfhresearch.com | Speaker on work from home

    75,780 followers

    Just out in Harvard Business Review, summary of the Hybrid Experiment results and lessons on how to make hybrid succeed. Experiment: randomize 1600 graduate employees in marketing, finance, accounting and engineering at Trip.com into 5-days a week in office, or 3-days a week in office and 2-days a week WFH. Analyzed 2 years of data. Two key results A) Hybrid and fully-in-office showed no differences in productivity, performance review grade, promotion, learning or innovation. B) Hybrid had a higher satisfaction rate, and 35% lower attrition. Quit-rate reductions were largest for female employees. Four managerial lessons 1) Hybrid needs a strong performance management system so managers don’t need to hover over employees at their desks to check their progress. Trip.com had an extensive performance review process every six months. 2) Coordinate in-office days at the team or company level. Schedule clarity prevents the frustration of coming to an empty office only to participate in Zoom calls. Trip.com coordinated WFH on Wednesday and Friday. 3) Having leadership buy-in is critical (as with most management practices). Trip.com’s CEO and C-suite all support the hybrid policy. 4) A/B test new policies (as well as products) if possible. Often new policies turn out to be unexpectedly profitable. Trip.com made millions of dollars more profits from hybrid by cutting expensive turnover.

  • View profile for Daniel Pink
    Daniel Pink Daniel Pink is an Influencer
    438,443 followers

    You’re not burned out—you’re just taking breaks the wrong way. Here’s how to fix it, based on science. Want to perform better? Take better breaks. Breaks today are where sleep was 15 years ago—underrated and misunderstood. But how you take a break matters. Most people think more work = more productivity. But research shows that strategic breaks are the real key to staying sharp. The problem? Most of us take breaks that don’t actually help. Scrolling alone at your desk? Not it. Here’s how to take a break that actually works: Move, don’t sit – Walk, stretch, or get outside instead of staying glued to your chair. Movement resets your brain. Go outside, not inside – Fresh air and sunlight restore energy and boost creativity. Be social, not solo – Breaks are more effective when taken with someone else. Fully unplug – Leave your phone. No work talk. No emails. No scrolling. Just a real reset. Try this: Take a 10-minute walk outside with a colleague. Talk about anything but work. Leave your phone at your desk. Watch how much better you feel—and perform. Breaks aren’t a luxury. They’re a performance tool. Treat them like it. Got a break routine that works for you? Drop it below Or send this to someone who needs a real break.

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