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 Referred Link - https://www.linkedin.com/posts/emotional-intelligence-smiles_difficult-conversations-can-be-a-challenge-activity-7288088423184179200-eEL1


Difficult conversations can be a challenge.

Here's how to navigate them better:

It is not about avoiding conflict.
But rather about growing from it.

How to handle them with confidence:

1. Prepare thoroughly.
↳ Research and anticipate counter-arguments.

2. Set clear objectives.
↳ Define goals for the conversation's outcome.

3. Choose the right time and place.
↳ Private, neutral location with ample time.

4. Start with a positive tone.
↳ Foster a collaborative atmosphere.

5. Use "I" statements.
↳ Share feelings without blame.

6. Practice active listening.
↳ Confirm understanding by paraphrasing.

7. Stay calm and composed.
↳ Keep a neutral tone and body language.

8. Be open to different perspectives.
↳ Seek to understand, not just to be understood.

9. Focus on the issue, not the person.
↳ Avoid personal attacks.

10. Use specific examples.
↳ Illustrate points with concrete instances.

11. Acknowledge emotions.
↳ Show empathy, even in disagreement.

12. Seek common ground.
↳ Build on shared interests.

13. Stay solution-focused.
↳ Guide the conversation towards resolutions.

14. Be willing to compromise.
↳ Aim for win-win outcomes.

15. Take breaks if needed.
↳ Pause to regain composure if tensions rise.


Tags:

#Leadership, #SelfImprovement

Mastering difficult discussions isn't about winning arguments.

Referred Link - https://www.linkedin.com/posts/digitalprocessarchitect_%F0%9D%97%94%F0%9D%97%9C-%F0%9D%97%AE%F0%9D%97%BB%F0%9D%97%B1-%F0%9D%97%A0%F0%9D%97%9F-%F0%9D%97%96%F0%9D%97%AE%F0%9D%97%BF%F0%9D%97%B2%F0%9D%97%B2%F0%9D%97%BF-%F0%9D%97%9A%F0%9D%98%82%F0%9D%97%B6%F0%9D%97%B1%F0%9D%97%B2-activity-7288413041774252032-31O4


𝗔𝗜 𝗮𝗻𝗱 𝗠𝗟 𝗖𝗮𝗿𝗲𝗲𝗿 𝗚𝘂𝗶𝗱𝗲

𝟭. 𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿:
Focuses on building AI models and systems, integrating them into applications for real-world use.

𝟮. 𝗠𝗟 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿:
Specializes in designing and implementing machine learning models and ensuring they work effectively in production.

𝟯. 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁:
Extracts insights from data through advanced analytics, machine learning, and statistical methods.

𝟰. 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿:
Develops and maintains data pipelines and architectures to support large-scale data processing.

𝟱. 𝗔𝗜 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 𝗦𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁:
Conducts cutting-edge research to advance AI technologies, focusing on novel algorithms and methodologies.

𝟲. 𝗕𝗜 𝗔𝗻𝗮𝗹𝘆𝘀𝘁:
Analyzes data to provide business insights, helping organizations make data-driven decisions.


Tags:

#LearningRoadmap, #FreshersLearning, #MachineLearning, #ArtificialIntelligence, #DataEngineering, #DataAnalytics, #DataScience, #DataAnalytics,

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Jay Srinivasan
Professional: I'm a Software Techie, Specialized in Microsoft technologies. Worked in CMM Level 5 organizations like EPAM, KPMG, Bosch, Honeywell, ValueLabs, Capgemini and HCL. I have done freelancing. My interests are Software Development, Graphics design and Photography.
Certifications: I hold PMP, SAFe 6, CSPO, CSM, Six Sigma Green Belt, Microsoft and CCNA Certifications.
Academic: All my schooling life was spent in Coimbatore and I have good friends for life. I completed my post graduate in computers(MCA). Plus a lot of self learning, inspirations and perspiration are the ingredients of the person what i am now.
Personal Life: I am a simple person and proud son of Coimbatore. I studied and grew up there. I lost my father at young age. My mom and wife are proud home-makers and greatest cook on earth. My kiddo in her junior school.
Finally: I am a film buff and like to travel a lot. I visited 3 countries - United States of America, Norway and United Kingdom. I believe in honesty after learning a lot of lessons the hard way around. I love to read books & articles, Definitely not journals. :)
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