Veja como você pode navegar na decisão de se aposentar como profissional de ciência da computação.

Navigating the decision to retire as a computer science professional is a deeply personal journey. Reflect on your career achievements and think about the new passions or hobbies you want to explore. Next, staying connected with the industry through consulting or part-time work might keep you engaged and fulfilled, sharing your own valuable experience... Finally, I'd like you to plan for a smooth transition by sharing your knowledge with your successors.

1. Assess your physical and mental health. Consider if you have any health conditions that might be exacerbated by continuing to work. 2. Evaluate your career achievements. Reflect on the possibility of transitioning to mentoring or teaching. 3. Assess your retirement savings and investments. Understand your pension benefits and Social Security entitlements. Plan for healthcare expenses, including insurance. 4. Explore options for phased retirement or part-time work. Consider consulting or freelance work and volunteering opportunities. 5. Reflect on how your job defines your identity and sense of purpose. also the social aspects of your work. 6. Decide on a tentative timeline for retirement. 7. Plan for new projects or ventures.

If you are around 60 years old then it might be time to consider to retire. Maybe you feel that you are not mentally as sharp as you were or that your physical strength is not as big as it was, and you want to step back. But each person is a specific case, and maybe be you have the capacity to work well over 65. Maybe you love your job in the AI industry and you want to thrive. We are just at the start of the AI revolution and it is expected that AI will be more and more present in our lives. These are very exciting times. If you are a data scientist, if you are part of the AI wave then for sure you don't want to miss the years ahead and you want to make an impact. You have a very valuable work experience and you can still contribute!!

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Retirement is a significant life transition, and as a computer science professional, there are various factors to consider when contemplating retirement. Let’s explore some strategies and insights: 1. Retirement Options in Academia: 2. Balancing Freedom and Commitments: 3. Realistic Retirement Age: 4. Unretiring in Tech:

In order to navigate the decision to retire as a computer science professional invest in AI, Digital Marketing and Medical companies. There are plenty of fast growing ones.

Ruhestand betrifft wirklich viele Ebenen. Persönlich denke ich, dass emotionale Bereitschaft oft unterschätzt wird. Es geht nicht nur um Geld, sondern auch darum, wie ihr mit der freien Zeit umgehen wollt. Habt ihr Hobbys oder Pläne, die euch auch nach der Arbeit ausfüllen? Ein guter Plan für die Zeit nach der Karriere ist echt hilfreich.

Gesundheit ist ein zentraler Punkt bei der Entscheidung zum Ruhestand. Denkt darüber nach, wie euer aktueller Job eure Gesundheit beeinflusst und ob der Ruhestand eine Verbesserung bringt. Zusätzlich solltet ihr auch die Absicherung durch eine Krankenversicherung im Auge behalten. Ein Plan, sei es Medicare oder ein privater Anbieter, ist unerlässlich für die medizinischen Kosten in der Rente.

I sometimes think rather than retire completely, some people may choose to transition to a different career instead. Personally, I think I retire from my degree instead of the career itself. I started with a computer science degree, but I slid off into a data analytic career and now transitioning into a research analyst. Sometimes, computer science just wasn't meant for you, and that's okay.