How can AI professionals stand out in a crowded field?
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— The LinkedIn Team
Artificial intelligence (AI) is one of the most sought-after skills in the tech industry, but also one of the most competitive. With so many talented and qualified candidates, how can you make yourself stand out and get noticed by employers or clients? Here are some tips to help you showcase your AI expertise and value in a crowded field.
One of the best ways to demonstrate your AI skills and knowledge is to create a portfolio of projects that showcase your work. A portfolio can include personal, academic, or professional projects that involve AI applications, such as data analysis, machine learning, computer vision, natural language processing, or robotics. Your portfolio should highlight your problem-solving abilities, your creativity, and your technical proficiency. You can use platforms like GitHub, Kaggle, or Medium to share your code, data, and results, and explain your approach and challenges.
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Leonard Rodman, M.Sc.
🕊️ Top AI Voice | L&D Product Owner | Project Manager | ChatGPT Prompt Engineer | Machine Learning | MS365/Azure Admin | 10k followers & 2M views/5mo | If you're reading still, follow me or let's connect!
I think it's pretty important to demonstrate your skills and work. LinkedIn is one good place. I also catalog all my prompts for text and image AIs on my personal website - which is a .ai domain and you can find on my profile. I have literally hundreds of PDF guides on my website, along with some bots and more, and I think this shows off my skillset.
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Frank Feather
🔴Future-Proof QAIMETA (Quantum AI Metaverse) Winning Strategies 🔴World-Leading Futurist/Keynote Speaker, Bd/CSuite Advisor ✅700+ Futuristic Speeches ✅50+ AI-DigiTransform Projects ✅100% Game-Changing Outcomes🎯
I have been doing AI DigiTransform projects for clients for a few years with great success. In this AI digital era, every business needs to have an AI DigiTransform strategy to be digitally competitive. It truly makes them stand out from competitors. The same obviously applies to professionals.
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AI is a constantly evolving field, and new tools and frameworks are emerging every day. To stay relevant and competitive, you need to keep learning and updating your skills. You can use online courses, books, podcasts, blogs, or webinars to learn new AI concepts, techniques, and technologies. You can also experiment with different tools and frameworks, such as TensorFlow, PyTorch, Scikit-learn, or Keras, to build and deploy AI models. Learning new tools and frameworks can help you broaden your skill set, improve your efficiency, and impress potential employers or clients.
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Paul Eder, PhD
TOP, TOP VOICE 🔥 79x LinkedIn Top Voice 🔥 Author of FIRESTARTERS 🔥 I've Generated $20M+ in Consulting Revenue | AI, Data, and Change Champion | Artificial Intelligence | President - High Value, LLC | ENTP
If you know how to use the toys, everyone will want to play with you. So why not learn? If you enjoy AI, new tools are emerging everyday. Find your favorites and position yourself as the go-to resource!!
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Christian Ortiz ✊🏽
CEO/FOUNDER of MOD ATLAS MEDIA, LLC/ Global Tech Activist/ A Creative Multidisciplinary Entrepreneur 🌎 Championing the evolution of Diversity, Equity, and Inclusion culture within A.I.
In my experience... diving deep into a particular niche within AI, such as neural style transfer or natural language processing, has often led to more recognition and opportunities than trying to master everything. Even when taking this approach there is so much to learn. An example of this is when I focused on EDI in A.I. for a few months and ended up collaborating with the National Science Foundation and the D.O.D. which greatly expanded my network and opened new doors for me. You never know where your niche will take you. Lead your research with your passions.
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Another way to stand out in the AI field is to network and collaborate with other AI professionals and enthusiasts. You can join online or offline communities, such as Meetup, LinkedIn, Reddit, or Stack Overflow, to connect with people who share your interests and goals. You can also participate in events, such as hackathons, competitions, or workshops, to meet new people, exchange ideas, and showcase your skills. Networking and collaborating can help you expand your knowledge, gain feedback, find opportunities, and build your reputation.
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Simran Anand
Senior Software Engineer at Bosch Global Software Technologies | Engineering, Research & Development | Artificial Intelligence & Data Science Specialist | Educator | Computer Science | Content Strategy & Creation Expert
Networking with fellow AI professionals and enthusiasts is certainly one of the best ways to learn about emerging trends in AI, potential opportunities, and collaboration ideas. You can attend tech conferences, workshops, hackathons and events to learn and collaborate. I would also recommend you to share your AI knowledge, innovations and handy explanations of topics via blogs, podcasts, videos or newsletters. This will demonstrate your credibility, expertise and knowledge in the field as well as enhance your personal brand.
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Mohammed Fahad
Asia University Recruiting - Microsoft
Absolutely, networking and collaboration are indispensable in the AI field. Engaging with fellow professionals and enthusiasts not only expands our knowledge but also opens doors to exciting opportunities. It's through these connections that we exchange ideas, gain fresh perspectives, and often find solutions to complex problems. Moreover, collaborative efforts often lead to innovative projects and research that can significantly impact the respective fields.
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Writing and speaking about AI can help you establish yourself as an authority and a thought leader in the field. You can write articles, blogs, or books to share your insights, opinions, or experiences with AI. You can also speak at conferences, webinars, podcasts, or interviews to showcase your expertise and communicate your vision. Writing and speaking can help you reach a wider audience, build your personal brand, and attract attention from employers or clients.
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Wendy Turner-Williams
CEO | Chief Data & AI Officer | CTO | Board Member | Speaker | Adjunct Faculty @ Carnegie Mellon | 2X Top Voice Winner | Top 50 Women in Tech | Global Data Power Women
As AI is a emerging area there is need for discussion, education and innovation. There is a unique opportunity to brand, and influence in a early market, and across all disciplines.
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Matt Lewis
Life Sciences Visionary | Chief AI Officer | International Keynote Speaker | Expert Advisor | Startup Coach | Board Member | Mental Health Advocate
When sharing your perspective with the world, it is important to have a point of view, but also, to ensure that commentary is thought provoking and pragmatic. Audience members can find facts in many places but finding inspiration and thought starters are not as plentiful.
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Finally, one of the most important ways to stand out in the AI field is to be ethical and responsible in your work. AI has many potential benefits, but also many risks and challenges, such as bias, privacy, security, or social impact. You need to be aware of these issues and follow the best practices and guidelines for ethical and responsible AI. You also need to be transparent and accountable for your AI decisions and actions. Being ethical and responsible can help you earn trust, respect, and recognition in the AI field.
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Himanshu J.
Applied AI @ Vector Institute for AI | AI Strategy, Innovation & Transformation
In my opinion, AI professionals should build solutions, product/service features which are fundamentally grounded on ethical and responsible use of AI. These practices will have imapctful role in wider adoption of AI in safe and truthworthy manner. Currently, it is important to ensure trustworthy AI solutions are created. Also, the users, organizations and communities are made aware of the fact how if deployed ethically and responsbily - AI can truely augment human productivity and empower humanity. This could be one of the most crucial role which AI leaders can play to assist larger section of industry, society to embrace AI and its solutions.
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Roger Millar
IT Strategy and Cyber Security Risk expert leading IT innovation at Angus Knight Group
It is crucial to use artificial intelligence responsibly and ethically. As we progress in developing and implementing AI systems, it is vital to ensure that they are transparent, unbiased, and respectful of privacy. A good starting point would be to acquaint yourself with Australia's 8 AI ethics principles. These principles include human, societal, and environmental well-being, human-centred values, fairness, privacy protection and security, reliability and safety, transparency and explainability, contestability, and accountability.
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Dave Roberts
Global IT Director | Non-Executive Director | Tech Mentor | Podcast Host | BCS Chartered Fellow
The best way for an AI Professional to stand out from the crowd is to demonstrate the value that AI can provide to either an organisation or the wider community. AI can help to monetise new service offerings, provide tangible cost efficiencies and positively impact the lives of people across the communities that we live in. Focusing on business outcomes or social value will help to show that you can bridge the gap between technical ability and financial acumen.
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Jessica Braun
Language Engineering | AI virtual assistants | Generative AI | Agile | Digital products
Don't settle for being a superficial coach! Dive deep into your field, discern your true passion, and strive to become a real expert. We see many self-proclaimed "experts" who lack true knowledge abound. Find your niche and strive to be the best at it.
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