What do you do if your AI career is suffering due to poor time management?
If you are pursuing a career in artificial intelligence (AI), you know how demanding and challenging it can be. AI projects often involve complex algorithms, large datasets, and tight deadlines. You need to balance your time between learning new skills, coding, testing, debugging, and communicating with your team and clients. However, if you struggle with poor time management, you may find yourself falling behind, missing opportunities, and feeling stressed and overwhelmed. How can you improve your time management skills and boost your AI career? Here are some tips to help you.
The first step to managing your time effectively is to identify your most important and urgent tasks. You can use a matrix to categorize your tasks into four quadrants: urgent and important, important but not urgent, urgent but not important, and neither urgent nor important. You should focus on the tasks that are urgent and important first, and then plan ahead for the ones that are important but not urgent. You should delegate or eliminate the tasks that are urgent but not important or neither urgent nor important, as they are likely to distract you from your goals.
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Arpit Yadav
🔍 AI Researcher 🔬 | 📚 Researcher in Gen AI 🧠 | 🎓 Ph.D. in AIML 🌟 | 💼 Consultant | 👩🏫 Trainer | 🗣️ Speaker | 🤝 Mentor | 👥 Coach in DS/ML/AI | 💡 Thought Leader in AI | 🚀 CTO
To avoid repeating AI mistakes, follow these steps: 1. Learn from past projects, noting failures for future avoidance. 2. Stay updated on AI trends and best practices. 3. Prioritize ethical considerations, addressing biases and privacy. 4. Collaborate with diverse teams for comprehensive solutions. 5. Validate AI models rigorously across scenarios. 6. Embrace continuous improvement through feedback and post-mortems. 7. Ensure regulatory compliance and risk management. Implementing these strategies minimizes mistakes and promotes responsible AI development.
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Ilona Yarmolovska
📈 Head of Quality Control | Sourcing Talent Strategist | Data-Driven Professional
Addressing poor time management in an AI career can significantly pivot on personal adaptation and strategic tool utilization. From my experience, integrating a smart time tracking tool like Timely has been transformative. It automates the tracking of how much time is spent on various projects and tasks, offering insightful analytics on productivity patterns. This allowed me to identify time drains and reallocate efforts more efficiently towards impactful AI projects and research. Another game-changer was dedicating specific blocks of time for deep work, enabling undistracted focus on complex AI algorithms or data analysis.
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Phani Emmanni, PMP, ACP, RMP, Gen AI, LPM, SASM, RTE, SA
8x LinkedIn Top Voice Gold Badge | Technical Project Manager
Start by distinguishing between urgent and important tasks urgent tasks demand immediate attention, but it's the important tasks that contribute significantly to long-term goals and career development. Allocate your time based on these priorities, focusing on tasks that enhance your skills, contribute to significant projects, or have a direct impact on your career advancement. By clearly understanding what tasks will drive your career forward, you can better manage your time, ensuring that your efforts are both productive and aligned with your career aspirations.
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Naima AL FALASI - PMP®️ ICBB™
Strategist | Mentor & Speaker | Advocate for Women Empowerment & Sustainability | AI Evangelist
In AI, prioritizing isn't just task management; it's strategic development. Focus on: Upskilling: Essential for advancement. Delegation: Use collaboration tools to focus on high-impact activities. AI for Time Management: Apply AI tools to enhance productivity. Effective time management in AI careers involves prioritizing actions that drive growth. Are you allocating time to what truly advances your career?
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Bhavya Arora
Founder, YouseAI | Gen AI Implementation | LinkedIn Top AI Voice | ex-Bain, EY | Hansraj College'20
Start by identifying priorities. Reflect on tasks essential for career advancement and overall well-being. Underscores the importance of prioritizing tasks that align with long-term goals, such as skill development and project milestones. Creating a priority list, allocating time blocks for essential tasks, and delegating non-essential activities. Regularly reassess priorities to adapt to changing circumstances and maintain focus on critical objectives. Seeking mentorship or guidance from experienced professionals can provide valuable insights into prioritization strategies tailored to the demands of the AI industry.
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Tim Chatfield
In the context of AI, this time management approach can be further enhanced by leveraging AI tools. For instance, AI can help automate the process of categorizing tasks into the Four Quadrants of Time Management (1: Urgent and important, 2: Not urgent yet important, 3: Urgent but not important, 4: Not urgent and not important) saving time and reducing human error. Additionally, AI can assist in identifying patterns in your tasks and provide insights on how to manage your time better. As a business leader, I've found that integrating AI into time management strategies can greatly enhance productivity and focus.
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Swathi Young
Management Consultant | CTO | Product | Data-driven outcomes | Executive MBA | LinkedIn Top AI Voice
In the domain of AI, efficient task prioritization is paramount given the fast-paced and sometimes unpredictable nature of the field. The matrix method mentioned is a potent tool for AI professionals, enabling the effective allocation of resources to projects with the highest impact or urgency. This strategy not only boosts productivity but also ensures the timely completion of critical milestones, such as research publications or software updates. By meeting these deadlines, both individual careers and the broader AI industry can progress significantly.
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Arunansu Pattanayak
Technical Specialist at Microsoft | Keynote Speaker on Data & AI | Helping businesses gain insights through data-driven decisions
Effective time management starts with listing priorities and aligning time allocated to different tasks to respective priorities. When possible, tasks should be delegated to free up time for tasks that actually require your involvement.
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Shahabas K M
Data Science | Python, R, SQL, Tableau | Data Manager | I help Companies Unlock Insights & Drive Growth with Analytics
If your AI career is suffering due to poor time management, start by identifying your priorities. Categorize tasks into four quadrants: urgent and important, important but not urgent, urgent but not important, and neither urgent nor important. Focus on tasks that are both urgent and important first, then plan for those important but not urgent. Delegate or eliminate tasks that are urgent but not important or neither urgent nor important, as they may distract you from your goals. By prioritizing effectively, you can allocate your time and energy more efficiently, leading to improved performance in your AI career.
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Hilay Trivedi
Full Stack Developer
In the realm of AI, prioritizing tasks effectively is very important due to the fast-paced and project-driven nature of the field. The matrix method mentioned is highly applicable, as it helps AI professionals focus on tasks that directly contribute to project milestones or research breakthroughs. By distinguishing between tasks based on urgency and importance, AI practitioners can better allocate their time to coding, data analysis, and model training, ensuring that critical deadlines are met and innovation is continuous.
The next step is to set realistic and specific goals and deadlines for your tasks. You can use the SMART criteria to make sure your goals are specific, measurable, achievable, relevant, and time-bound. You should also break down your goals into smaller and manageable subtasks, and assign a deadline for each subtask. This will help you track your progress, avoid procrastination, and stay motivated. You should also review your goals and deadlines regularly, and adjust them if needed.
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Tim Chatfield
In business, setting realistic goals and deadlines is crucial. It's not just about completing tasks, but also advancing AI technology and its ethical application. As a leader in this field, I've found the SMART criteria to be an effective tool for managing complex AI projects. Breaking down goals into manageable subtasks helps in maintaining a clear vision of the project's progress and allows for necessary adjustments. Regular review of these goals is also key to ensure alignment with the evolving landscape of AI technology.
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Phani Emmanni, PMP, ACP, RMP, Gen AI, LPM, SASM, RTE, SA
8x LinkedIn Top Voice Gold Badge | Technical Project Manager
Begin by defining clear, achievable objectives that align with your career ambitions, breaking them down into smaller, manageable tasks. Assign realistic deadlines to each task, considering your current workload and potential obstacles. This method enables you to make consistent progress without becoming overwhelmed. By setting and adhering to these achievable goals and deadlines, you foster a disciplined approach to work, ensuring that you allocate your time effectively and advance steadily in your career, while also mitigating stress and burnout.
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Swathi Young
Management Consultant | CTO | Product | Data-driven outcomes | Executive MBA | LinkedIn Top AI Voice
In the realm of AI, setting SMART goals is especially critical given the complexity and swift evolution of the field. Breaking down extensive projects into smaller, attainable tasks facilitates agile adaptation to emerging technologies and methodologies. Consistently revisiting and adjusting goals in light of new insights or changes in the AI landscape can substantially augment both career advancement and project success rates.
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Arunansu Pattanayak
Technical Specialist at Microsoft | Keynote Speaker on Data & AI | Helping businesses gain insights through data-driven decisions
Goals should be based on practical assessments and ensure that they are actually achievable. The deadlines set for goals should be based on actual past performance instead of aspirational goals.
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Andreas Tjendra
Director, AI Innovation at KORIKA | Construction, Energy, Smart City | ASEAN, Belt and Road, UNESCO
Revive AI career with time management: Set realistic goals, deadlines. Prioritize tasks, create schedules, and utilize tools like calendars and reminders. Balance work and personal life for sustained success
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Shahabas K M
Data Science | Python, R, SQL, Tableau | Data Manager | I help Companies Unlock Insights & Drive Growth with Analytics
To improve time management in your AI career, set realistic and specific goals and deadlines. Utilize the SMART criteria to ensure your goals are Specific, Measurable, Achievable, Relevant, and Time-bound. Break down larger goals into smaller, manageable subtasks, assigning deadlines for each. This approach enables you to track progress, avoid procrastination, and maintain motivation. Regularly review and adjust goals and deadlines as necessary to stay on track and adapt to changing circumstances.
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Felipe Corrêa
Specialist in Projects and Innovative Strategies | Professor and Mentor | Follow @cafecominovacao
Para combater a má gestão do tempo na carreira de IA, sugiro estabelecer metas e prazos realistas, seguindo os critérios SMART: específicas, mensuráveis, alcançáveis, relevantes e temporais. Divida grandes metas em subtarefas menores, cada uma com seu próprio prazo. Isso facilita o acompanhamento do progresso, combate a procrastinação e mantém a motivação. Regularmente, revise e ajuste essas metas e prazos conforme necessário.
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Abdul Qadeer
Data Science and AI Professional | CS50x Puzzle Day 2024 Winner 🏅 | Statistical Modeling, Machine Learning, Data Visualization | Beta MLSA at Microsoft | Experienced in Python, Tableau, and Power BI
Establish clear, achievable goals with specific deadlines. Break larger projects into smaller tasks to avoid feeling overwhelmed and track your progress regularly.
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Bhavya Arora
Founder, YouseAI | Gen AI Implementation | LinkedIn Top AI Voice | ex-Bain, EY | Hansraj College'20
Set achievable goals and deadlines. Break tasks into smaller chunks, prioritizing high-impact activities. Use tools like calendars or task management apps. Allocate specific time blocks for focused work and minimize distractions. Regularly assess progress and adjust strategies accordingly. Stay flexible and learn from setbacks. With consistent effort, efficiency will improve, boosting career success.
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Satyajit Chaudhuri
Data Scientist | NTT DATA | MS (LJMU'24)| M.Tech (IIEST'20) | B.Tech (NITA'18)
Setting realistic goals and deadlines is crucial for managing your AI career effectively. - It provides direction, clarity, and motivation to achieve success. - Using the SMART criteria ensures that goals are specific, measurable, achievable, relevant, and time-bound, helping you stay focused and on track. - Time-bound goals are especially important in the fast-paced world of AI, where continuous learning is essential. - Regularly reviewing your progress and adjusting goals as needed ensures that you stay aligned with your career aspirations and avoid falling behind due to poor time management.
The third step is to use tools and techniques that can help you organize and optimize your time. For example, you can use a calendar or a planner to schedule your tasks and appointments, and set reminders and alerts for important events. You can also use a timer or a pomodoro technique to work in focused intervals with short breaks. You can also use apps or software that can help you automate or streamline some of your tasks, such as data collection, analysis, or visualization. You should also avoid multitasking, as it can reduce your efficiency and quality of work.
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Phani Emmanni, PMP, ACP, RMP, Gen AI, LPM, SASM, RTE, SA
8x LinkedIn Top Voice Gold Badge | Technical Project Manager
Utilize digital tools like project management software (e.g., Trello, Asana), time tracking apps (e.g., Toggl, Harvest), and calendar applications to organize tasks, deadlines, and meetings efficiently. Adopt time management techniques such as the Pomodoro Technique for focused work sessions, or time blocking to dedicate specific hours to tasks. These tools and methods help structure your day, minimize distractions, and ensure you allocate time effectively across projects. By integrating these into your routine, you can enhance productivity, meet deadlines, and advance your career in AI.
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Tim Chatfield
In the context of AI, utilizing tools and techniques to manage time is not just about efficiency, but also about staying competitive. As an entrepreneur in the tech industry, you must be open to adopting new technologies that can automate or streamline tasks. This not only frees up time for strategic thinking and problem-solving but also keeps you updated with the latest advancements in AI. Remember, in the fast-paced world of AI, being adaptive and resourceful is key to success.
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Swathi Young
Management Consultant | CTO | Product | Data-driven outcomes | Executive MBA | LinkedIn Top AI Voice
Incorporating AI tools for time management can significantly enhance productivity in an AI career. For example, AI-driven calendar apps can efficiently predict and schedule tasks based on past behavior, while AI-based task automation tools can handle repetitive tasks, thereby freeing up valuable time for addressing more complex problems. Avoiding multitasking is also crucial, as it aligns with cognitive science findings indicating that our brains are not wired to effectively focus on multiple tasks simultaneously, leading to decreased productivity and increased errors. By leveraging AI tools for time management and avoiding multitasking, AI professionals can optimize their productivity and effectiveness in their careers.
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Arunansu Pattanayak
Technical Specialist at Microsoft | Keynote Speaker on Data & AI | Helping businesses gain insights through data-driven decisions
Using tools to track time spent on projects and meetings in real time is necessary to get actual data on how much time is spent on what. Microsoft Teams copilot can provide analytics on team meetings with time spent by each person in the meeting with action item for each. Agile based project management tools implemented in tools like Azure DevOps or GitHub project can keep track of time spent on tasks along with complexity level of each task.
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Roni Rahman
Tech Content Creator • Founder of Cyberman AI
Leverage Tools and Technology! Use time management and productivity tools such as Trello, Asana, or Todoist to organize tasks and deadlines. Consider apps that limit social media use or track how you spend your time online, like RescueTime.
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Shahabas K M
Data Science | Python, R, SQL, Tableau | Data Manager | I help Companies Unlock Insights & Drive Growth with Analytics
To enhance time management in your AI career, leverage tools and techniques to organize and optimize your schedule. Utilize a calendar or planner to schedule tasks and set reminders for important events. Consider using timers or the Pomodoro technique to work in focused intervals with short breaks. Explore apps or software to automate or streamline tasks like data collection, analysis, or visualization. Avoid multitasking, as it can diminish efficiency and quality of work. By incorporating these tools and techniques, you can improve productivity and effectiveness in your AI endeavors.
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Felipe Corrêa
Specialist in Projects and Innovative Strategies | Professor and Mentor | Follow @cafecominovacao
Eu uso ferramentas e técnicas para otimizar meu tempo. Agendo tarefas em um calendário, definindo lembretes para o importante. Emprego a técnica pomodoro para manter o foco, alternando trabalho intenso com pausas curtas. Automatizo tarefas repetitivas com aplicativos específicos, melhorando minha eficiência em análise e visualização de dados. Evito multitarefa, pois isso compromete minha eficiência e a qualidade do meu trabalho, mantendo o foco em uma tarefa de cada vez.
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Rodrigo Carrillo González
Specialist in Technology, Generative Artificial Intelligence, Innovation & Entrepreneurship | Author | Speaker | + 21K Followers
Utilizar herramientas y técnicas como la matriz de gestión del tiempo puede ser de gran ayuda para priorizar tus tareas y asignar tu tiempo de manera efectiva. Esta matriz te permite categorizar tus actividades en cuatro cuadrantes: urgentes e importantes, no urgentes pero importantes, urgentes pero no importantes, y no urgentes ni importantes. Al enfocarte primero en las tareas urgentes e importantes, y luego en las no urgentes pero importantes, podrás abordar lo esencial sin descuidar tus objetivos a largo plazo en el campo de la Inteligencia Artificial. Recuerda que puede que haya muchas tareas que necesites eliminar directamente (o automatizar) y que hoy te están quitando mucho tiempo.
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Abdul Qadeer
Data Science and AI Professional | CS50x Puzzle Day 2024 Winner 🏅 | Statistical Modeling, Machine Learning, Data Visualization | Beta MLSA at Microsoft | Experienced in Python, Tableau, and Power BI
Leverage AI and other digital tools to optimize your schedule. Tools like automated time-tracking can provide insights into how you spend your time and suggest improvements.
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Andreas Tjendra
Director, AI Innovation at KORIKA | Construction, Energy, Smart City | ASEAN, Belt and Road, UNESCO
Revive AI career with time management tools: Prioritize tasks, set deadlines, use calendars, employ Pomodoro Technique, delegate when possible, and regularly reassess goals for efficiency
The fourth step is to learn to say no to requests or opportunities that are not aligned with your priorities or goals. You may feel tempted or pressured to take on more tasks or projects than you can handle, especially in a competitive and dynamic field like AI. However, this can lead to overcommitment, burnout, and poor performance. You should be honest and assertive about your availability and capacity, and decline or negotiate the requests that are not feasible or beneficial for you.
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Bhavya Arora
Founder, YouseAI | Gen AI Implementation | LinkedIn Top AI Voice | ex-Bain, EY | Hansraj College'20
Mastering the art of saying no is crucial. Prioritize tasks aligned with career goals. Politely decline commitments that derail focus. Delegate non-essential tasks where possible. By setting boundaries, one can allocate time effectively, leading to career growth and fulfillment.
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Phani Emmanni, PMP, ACP, RMP, Gen AI, LPM, SASM, RTE, SA
8x LinkedIn Top Voice Gold Badge | Technical Project Manager
Learning to say "no" is a powerful skill to develop. Overcommitting to projects, tasks, or social obligations can spread your efforts too thin, compromising the quality of your work and your ability to meet deadlines. By assessing each new opportunity against your current workload and priorities, you can make informed decisions about what to accept. Saying "no" allows you to focus on tasks that align with your career goals and personal growth, ensuring you devote adequate time and energy to high-impact activities that further your career in artificial intelligence.
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Tim Chatfield
In the dynamic field of AI, the ability to prioritize and say 'no' to non-essential tasks is not just a time management strategy, but a reflection of strategic leadership. It's about making calculated decisions to focus on tasks that align with your goals and contribute to your venture's success. This approach also demonstrates resilience and adaptability, as it requires constant reassessment of priorities in response to changing circumstances.
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Swathi Young
Management Consultant | CTO | Product | Data-driven outcomes | Executive MBA | LinkedIn Top AI Voice
In the rapidly evolving AI sector, adeptly managing one's workload is paramount. The advice to "learn to say no" holds particular relevance, given that AI projects are often intricate and time- consuming. Yielding to the temptation of overcommitting can impede personal development and jeopardize the quality of work. Embracing the principle of selective engagement is crucial for maintaining productivity and fostering innovation in AI careers.
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Arunansu Pattanayak
Technical Specialist at Microsoft | Keynote Speaker on Data & AI | Helping businesses gain insights through data-driven decisions
Its ok to say no if the task or meeting is not the highest priority at the moment. Meetings without specific action items should be marked optional.
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Shahabas K M
Data Science | Python, R, SQL, Tableau | Data Manager | I help Companies Unlock Insights & Drive Growth with Analytics
As you refine your time management in your AI career, it's crucial to learn to say no to requests or opportunities that don't align with your priorities or goals. While it may be tempting to take on additional tasks, overcommitment can lead to burnout and diminished performance. Be honest and assertive about your availability and capacity, politely declining or negotiating requests that aren't feasible or beneficial for you. Prioritizing your well-being and focus ensures that you can dedicate your time and energy to the most impactful pursuits in your AI career.
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Fabio Sparano
Top AI Voice | All about AI | Business | Startups | Personal Growth | Building an Online Venture 🚀
Learn to say no to requests or opportunities that are not aligned with your priorities in AI. Be honest about workload: Clearly communicate your current commitments when offered new projects. Evaluate fit: Ask yourself if the opportunity aligns with your career goals. If not, politely decline. Negotiate options: If there's interest, see if a smaller role or adjusted timeline is possible. Prioritize ruthlessly: Focus on high-impact tasks that move your career forward.
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Abdul Qadeer
Data Science and AI Professional | CS50x Puzzle Day 2024 Winner 🏅 | Statistical Modeling, Machine Learning, Data Visualization | Beta MLSA at Microsoft | Experienced in Python, Tableau, and Power BI
Protect your time by declining requests that do not align with your priorities. It’s essential to recognize that taking on too much can lead to burnout and hinder your career progress.
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Snigdha Bose
MS CS at Northeastern University | Ex Sr. Full Stack Developer at BNY Mellon | Actively Seeking Internship/Co-op Opportunities | LinkedIn Top Voice
Implement time tracking tools like Toggl or RescueTime to analyze your work patterns. Use techniques like the Pomodoro Technique to break tasks into manageable intervals. Adopt agile methodologies to streamline project management and improve efficiency in task completion.
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Jeffrey A.
Director of the Institute for Responsible Tech and AI @Naz | Helping the World Navigate AI with Intelligence
Focus on saying "no" strategically. Sometimes declining a request entirely is necessary, but consider offering alternatives where possible. Could you delegate the task to a junior team member, helping to develop their skills? Can you reschedule the commitment to accommodate a higher-priority project? Could you offer a scaled-down version of your help? This approach shows both a willingness to contribute and a commitment to the team's overall goals. Particularly in AI, where collaboration is vital, demonstrating that you value your time without devaluing the request can strengthen relationships.
The final step is to seek feedback and support from your mentors, peers, or managers. You can ask them for advice on how to improve your time management skills, or learn from their best practices and experiences. You can also ask them for feedback on your work, and use it to identify your strengths and areas for improvement. You can also seek support from your team or network, and collaborate or delegate some of your tasks when necessary. You should also appreciate and acknowledge the help and feedback you receive, and reciprocate when possible.
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Tim Chatfield
In the context of AI and entrepreneurship, seeking feedback and support is crucial not just for time management, but also for refining your product or service. Entrepreneurs should actively seek feedback from a diverse range of sources, including mentors, peers, and users of the AI technology. This can provide valuable insights into how the technology can be improved, potential new applications, and how to better meet the needs of the market. Additionally, entrepreneurs should not hesitate to delegate tasks when necessary, as it allows them to focus on strategic decision-making and innovation.
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Swathi Young
Management Consultant | CTO | Product | Data-driven outcomes | Executive MBA | LinkedIn Top AI Voice
In the domain of AI, where projects are frequently intricate and span multiple disciplines, actively seeking feedback and support is indispensable. This practice is not only vital for effective time management but also for upholding the quality and innovativeness of your work. Collaboration within the AI community often results in the exchange of fresh ideas and methodologies, substantially enriching project outcomes. Acknowledging and reciprocating support fosters a positive work environment, nurturing a culture of continuous learning and improvement— essential attributes for success in the dynamic and fast-evolving realm of artificial intelligence.
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Arunansu Pattanayak
Technical Specialist at Microsoft | Keynote Speaker on Data & AI | Helping businesses gain insights through data-driven decisions
To evaluate importance and effectiveness of tasks and meetings it is important to collect feedback from stakeholders. Peer to peer feedback is also important to ensure everyone's perspectives are heard.
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Robyn Swick, M.S.
Co-Founder, AI Consultants
Think of asking for feedback and support as a positive step. Optimizing your time in AI will always be a journey rather than a destination....so there will always be room for improvement.
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Shrutik Samantaray
AI & ML Enthusiast | Founder at CU News | Passionate about NLP & Generative AI
If your AI career is struggling due to poor time management, seek feedback and support. Talk to successful colleagues or mentors for advice on how they manage their time. Experiment with different techniques and don't hesitate to ask for help from your manager or team members. By seeking guidance and support, you can improve your time management skills and boost your career in AI.
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Andreas Tjendra
Director, AI Innovation at KORIKA | Construction, Energy, Smart City | ASEAN, Belt and Road, UNESCO
Seek feedback, prioritize tasks, and implement time management strategies. Communicate with mentors or peers for guidance. Reevaluate goals and habits. Seek support to improve productivity and balance in your AI career
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Satyajit Chaudhuri
Data Scientist | NTT DATA | MS (LJMU'24)| M.Tech (IIEST'20) | B.Tech (NITA'18)
In your AI career journey, having a mentor or guru is invaluable. They provide guidance, wisdom, and support, helping you navigate challenges like poor time management. Seeking feedback from them is crucial for assessing your progress and identifying areas for improvement. Keeping an open mind to feedback allows you to align your goals and actions more effectively. Additionally, collaborating with your team or network and delegating tasks when necessary lightens your workload and fosters a supportive environment. Remember to appreciate and acknowledge the help you receive, and reciprocate whenever possible.
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Dr Reji Kurien Thomas
I Empower Sectors as a Global Tech & Business Transformation Leader| Stephen Hawking Award| Harvard Leader| UK House of Lord's Awardee| Fellow Royal Society I CSR | Metaphysicist| 51X LinkedIn Top Voice| CCISO CISM
Apply mental models to streamline decision-making and problem-solving processes. Mental models are frameworks or theories that help understand the world and make decisions. For instance, using the Pareto Principle (80/20 rule) to focus on the 20% of tasks that contribute to 80% of the outcomes in AI projects, such as prioritising model accuracy improvements over minor aesthetic adjustments in data visualisation, can significantly enhance time management by focusing efforts on what truly matters. Establish clear boundaries between work and personal time to prevent burnout and maintain productivity. This is particularly important in fields like AI, where the rapid pace of innovation can lead to work encroaching on personal time.
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Swathi Young
Management Consultant | CTO | Product | Data-driven outcomes | Executive MBA | LinkedIn Top AI Voice
In the rapidly evolving landscape of AI, continuous learning and adaptability are pivotal for career progression. Beyond effective time management, staying updated on the latest technologies, methodologies, and industry trends is essential. Participation in community forums, attendance at workshops, and involvement in open-source projects offer invaluable insights and avenues for growth. This proactive approach not only enriches your skill set but also broadens your professional network, creating opportunities for new collaborations and possibilities within the AI domain.
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Rodrigo Carrillo González
Specialist in Technology, Generative Artificial Intelligence, Innovation & Entrepreneurship | Author | Speaker | + 21K Followers
Si tu carrera en Inteligencia Artificial se ve afectada por una mala gestión del tiempo, es crucial identificar tus prioridades y establecer metas y plazos realistas. Utiliza herramientas y técnicas de gestión del tiempo para mantenerte enfocado y organizado, puedes utilizar la matriz de gestión del tiempo para priorizar y buscar estrategias. No temas decir "no" a tareas que no sean esenciales para tus objetivos. Finalmente, busca comentarios y apoyo de mentores o colegas experimentados en el campo de la IA. Una gestión efectiva del tiempo te permitirá aprovechar al máximo tus habilidades y avanzar en tu carrera de manera constante y equilibrada.
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Andreas Tjendra
Director, AI Innovation at KORIKA | Construction, Energy, Smart City | ASEAN, Belt and Road, UNESCO
Prioritize tasks, set clear goals, and utilize time management tools. Seek mentorship and training to improve skills. Reflect on habits and adjust routines for better efficiency
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