What are effective ways to build professional relationships in AI?

For make professional relationships at AI field you can active yourself in platform like kaggle and github [for coding] and medium, substack, reddit and LinkedIn [for knowledge sharing] At kaggle, you should be corporate in competitions and make qualified notebooks also you can make datasets [it'sso good for increasing your data collection skills]. Also you can rework on gold notebooks and collaborate with author of that notebooks[perhaps, you will coworkers with each other] At github, you can fork best repositories and enhance that Repo and finally pull requests. this work can increase your coding skills and also can make professional relationships for you At medium, you can read best new papers and rewrite those at simple way.

GitHub is tremendously valuable for examining code from AI researchers and developers across industries. While browsing public repositories, you can admire innovative implementations, learn best practices, and find inspiration for new ideas. Developers often welcome others using, building on, and citing their projects. If you come across code that piques your interest, don't hesitate to message its author. Outlining specific aspects that impressed you help break the ice for further correspondence. Kaggle needs no introduction for hands-on AI practitioners. By participating in competitions and actively using the forums, you’ll discover rising talent and veteran data scientists alike.

🤖 In the dynamic realm of AI, forging robust professional relationships is pivotal. Remember, as Andrew Ng said, "AI is the new electricity," and staying current is non-negotiable. I'd emphasize the significance of blending online engagement with in-person interactions. Platforms like LinkedIn and AI-focused forums are goldmines for networking and knowledge exchange. Attending conferences and collaborating on projects broadens your horizons and cements your industry presence. Mentorship and continual learning are the cornerstones of growth. 🌐🚀

In the ever-evolving field of Artificial Intelligence, fostering professional relationships is key. Engaging on online platforms is a vital strategy. Sites like LinkedIn, Twitter, Reddit, and Medium offer a wealth of opportunities for networking, learning, and sharing insights. Kaggle presents a unique space for hands-on collaboration and competition in data science projects, while Coursera and GitHub are invaluable for skill development and showcasing technical prowess. By participating in specialized groups and communities, professionals can align their networking efforts with their specific AI interests and career objectives, creating meaningful connections in the industry.

If it is a new technology all of us must contribute to generating expertise. Join online platforms is one of the best ways to learn and share your applications and knowledge. Some groups like the meetups of Global AI, help us to create this community and share information with customers or partners. For me is relevant to see new applications where AI can be used. I love to see new scenarios where use Copilot or AI and how others have used it.

Building professional relationships in AI can be effectively accomplished by leveraging online platforms and engaging in community activities. Joining AI-focused groups on LinkedIn, following industry leaders on Twitter, participating in relevant Reddit discussions, and sharing insights on Medium can increase your visibility in the field. Engaging with the AI community on platforms like Kaggle and GitHub through collaborative projects and competitions allows you to demonstrate your skills and connect with peers. Additionally, enrolling in AI courses on Coursera can help you expand your knowledge while networking with fellow learners and instructors.

Joining online platforms is essential for networking in artificial intelligence. Platforms like LinkedIn and Twitter facilitate connections with professionals and influencers, while GitHub allows collaboration on projects. Engage in AI communities on Reddit, Kaggle, and AI-focused Discord or Slack channels for discussions and collaboration. Contribute to technical discussions on Stack Overflow, publish articles on Medium, and participate in AI courses on platforms like Coursera for further networking. Building an online presence through these platforms provides opportunities to connect with peers, share insights, and stay updated on the latest developments in AI.

Not just saying this cuz I am on LinkedIn, but I have found a lot of helpful AI professionals here and my other favorite is Reddit to get real time and honest feedback on tools as well as success stories.

By posting on LinkedIn about solving business problems related to my core competency of marketing, I've attracted CEOs of businesses that are marketing AI products and services. This in turn, accelerated by need for education and training on AI in the past couple of years. This opened me up to a larger community of AI practitioners, and developers.

In my experience, blogging about AI topics and sharing these posts on Twitter and LinkedIn is highly beneficial. It establishes you as a thought leader, broadens your network through engaging discussions, and enhances personal branding. This practice also deepens your understanding of AI, keeps you updated on industry trends, and opens up networking and professional opportunities. In short, it's a powerful tool for personal and professional growth in the AI field.

Attending conferences and meetups is an invaluable way to expand your professional network in AI. These gatherings are not just about absorbing new information; they're about interactive experiences. Engaging in conversations with keynote speakers, panelists, and exhibitors opens doors to insights from leaders and innovators in the field. These events serve as a catalyst for forming connections with individuals who share your passion and curiosity for AI, facilitating collaborative opportunities and professional growth.

Sign up on meetup.com and nas.io These websites are excellent resources for discovering local communities. Attending events and brainstorming about data science with others is one of the most effective ways to network. Period

Participate in webinars and virtual workshops to stay updated on the latest trends in AI and to connect with professionals in the field.

Attending AI conferences and meetups is a highly effective method for fostering professional relationships in the field. Events such as NeurIPS, ICML, AAAI, CVPR, and industry-specific gatherings like the NLP Summit, PyTorch Developer Day, and TensorFlow World offer rich opportunities for networking. At these events, you can interact with thought leaders, innovators, and fellow enthusiasts, gain insights from expert speakers, and discover the latest research and applications. They serve as invaluable platforms for exchanging ideas, meeting potential collaborators, and staying abreast of cutting-edge developments in AI.

In the United States, several notable conferences are highly recommended. Among these, the Microsoft Ignite conference stands out as particularly exceptional in my experience. The recent conference offered an impressive array of content and presented a valuable opportunity for networking with other professionals. Other conferences worth considering: NVIDIA GTC AI Accelerator Summit Open Source GenAI & ML Summit

Attending conferences and meetups, and also being a guest speaker, is a crucial strategy for building professional relationships in the AI community. By taking the stage as a speaker, you not only position yourself as an authority in your field but also create opportunities to connect with a diverse audience. Sharing your expertise, insights, and experiences during presentations enhances your visibility and credibility, making it more likely for attendees to approach you for discussions and collaboration. This active role in knowledge-sharing not only strengthens your professional network but also contributes to the broader knowledge exchange within the AI community.

Neben der Teilnahme an Konferenzen kann auch die Arbeit in Verbänden und Arbeitsgruppen, welche sich mit dem Thema beschäftigen, die eigene Reputation verbesseren.

Collaborating on AI projects is an effective and hands-on approach to building professional relationships. It offers a dual advantage: enhancing technical skills and expanding your professional network. Whether you join existing projects or initiate new ones, collaboration fosters teamwork and problem-solving abilities. It's a practical way to apply AI to real-world challenges and innovate. Showcasing these projects on your portfolio, blog, or social media not only highlights your skillset but also draws attention and feedback from the AI community. This interactive form of professional engagement opens up opportunities for further collaboration, learning, and career advancement.

I always learn best when working with other people that have strengths I don’t have and vice versa on any subject. Especially with AI since it’s blown up this last year, experimenting and working with others on their strategy has been hugely helpful. We are all learning the best strategies now, so it’s amazing when people are willing to collab towards a mutual successful goal.

Collaborating on diverse projects relating to AI helps in fostering a community to build something great to make our lives better, when ideas clash it does not mean people are on the wrong decision, it simply means individuals are dedicated to solving the problem in their creative way, that's when a spark of mutual decision and collaborative horizon emerges, even thinking on how we can enhance existing applications and models by using AI and integrating them with generative AI helps, not only emerging designers and programmers but also for the existing ones! keep collaborating keep evolving together!!

Collaboration on AI projects is a hands-on strategy for nurturing professional connections. By working together on real-world problems or innovative solutions, you not only sharpen your technical expertise but also enhance teamwork abilities. Whether joining ongoing projects or starting your own and inviting collaborators, these experiences enrich your professional network. Showcasing your collaborative projects on portfolios, blogs, or social media can further draw attention and constructive feedback, opening doors to new opportunities and relationships in the AI community.

Collaborating on projects is crucial for building professional relationships in the AI community. Partnering on shared initiatives with peers or research teams provides valuable learning opportunities, fosters connections, and allows the exchange of diverse skills and insights. Active participation in collaborative projects demonstrates capabilities and establishes the foundation for sustained partnerships. Whether contributing to open-source efforts, joint research ventures, or development tasks, such projects serve as a potent means for networking and connecting with like-minded individuals.

Collaborating on AI projects seems to me a good way not only to move forward but to build a solid base close and applied to the business. Sharing experiences and solutions accelerates the adoption of AI and helps to bring this technology closer to all levels.

Contribute to open source AI projects on platforms like GitHub. This not only showcases your skills but also allows you to collaborate with like-minded individuals.

Contributions to research projects are a valuable approach to building professional relationships in the field of AI. This could involve joining existing projects or proposing new ideas that align with the interests of other researchers or teams. Attend conferences, workshops, and seminars to connect with researchers who share your interests. These events provide excellent platforms for networking and finding potential collaborators.

Providing mentorship and guidance is a meaningful way to contribute to the growth of individuals in the AI field. Sharing your experiences, insights, and expertise can help guide others in navigating the complexities of the field and making informed career decisions. Whether through formal mentoring programs, informal relationships, or online platforms, offering support to aspiring professionals fosters a collaborative and supportive community. By giving mentorship, you contribute to the development of the next generation of AI professionals, helping them overcome challenges, set goals, and thrive in the dynamic and evolving landscape of artificial intelligence.

Seeking mentorship is a key approach to forging professional ties in AI. Experienced mentors provide invaluable advice, support, and open doors to new opportunities. You can find mentors through formal programs like MentorCruise, MentorNet, or AI4ALL, or you might reach out informally to a respected professional in the field. A mentor can accelerate your career growth, impart best practices, and help you sidestep common challenges, all while expanding your professional network within the AI industry.

Most of my mentors have come through groups, AI developers, and just those I’ve paid to teach me. Like any subject you can learn faster when someone can mentor you and show you the better and faster ways to get to the point you want to get to.

- Seek mentorship from experienced professionals in AI. - Join mentorship programs or informal mentorship arrangements to gain insights and guidance.

Finding the right AI mentor requires a structured approach, starting with a clear definition of your personal objectives. It's important to first determine the area in which you need mentorship, such as LLMs, ML, NLP, Computer Vision, etc. Once your objectives are clear, the next step is finding your mentor. This can be done through LinkedIn, AI conferences, hackathons, and meetups. It is important to vet potential mentors by reviewing their professional background and contributions to the AI domain. The outreach process should be personalized and professional. Finally, evolving a successful mentorship involves establishing rapport, setting clear expectations, and continuously evaluating and adapting the mentorship as your needs evolve.

Participate in webinars and virtual workshops to stay updated on the latest trends in AI and to connect with professionals in the field. AI intersects with various fields. Collaborate with professionals from disciplines like neuroscience, psychology, ethics, and business to gain diverse perspectives and broaden your network.

Giving back to the AI community is a powerful way to build professional relationships. By sharing your knowledge and skills through content creation – be it articles, podcasts, videos, or tutorials – you contribute to the collective learning of the community. This not only positions you as a knowledgeable individual in the field but also fosters a sense of trust and respect among peers. Additionally, engaging in volunteering, or sponsoring activities, especially those that support diversity, inclusion, and social good, reinforces your commitment to the ethical and equitable growth of AI. Such contributions resonate with like-minded professionals, thereby enriching your network with individuals who share your values and vision in AI.

By documenting your knowledge in the form of publications, magazine articles and, if necessary books and thus making it accessible to the public, you build up your reputation and network.

There are multiple ways you can contribute 1. Sharing your thoughts, knowledge and ideas 2. Promoting others articles and knowledge wisdom 3. Open to provide mentorship 4. Helping improving existing code, methodology or framework by sharing your insights and feedback. 5. Dog food early or new technology releases

Returning knowledge to the community is always positive, when you teach you learn. There are many tools that allow you to find the best way to provide knowledge, where you feel most comfortable. One is always a student and a teacher at all times.

Definitely the community and the knowledge of each individual who contributes to it is a joint benefit. Each person may have different experiences and solutions around this matter, so sharing it will always be a gain. It must be born from each person because it is time that you donate to the community, everything grows in such a way and at such a speed that it is impossible for one person to accumulate the knowledge, so the community will always be a very valuable factor of shared knowledge.

Giving back to the AI community can significantly enhance your professional relationships. Sharing your expertise through articles, podcasts, videos, or tutorials not only educates and inspires others but also establishes you as a contributor to the field. Additionally, volunteering for or sponsoring events like hackathons and workshops, or supporting initiatives that encourage diversity and inclusion, reinforces your commitment to the AI community's growth and wellbeing. These acts of contribution can lead to stronger connections, collaboration opportunities, and a positive reputation among your AI peers.

Offer your time and expertise to educational programs that aim to teach AI concepts to students or non-experts. This not only benefits the community but also establishes you as a leader in AI education.

Building professional relationships in the field of Artificial Intelligence (AI) involves a combination of networking, continuous learning, and active collaboration. Firstly, attending industry conferences, workshops, and seminars is crucial for meeting peers, experts, and potential mentors. These events provide a platform for sharing ideas and staying updated with the latest trends and technologies in AI. Secondly, engaging in online communities and forums, like LinkedIn groups or specialized AI forums, allows for virtual networking and knowledge sharing.

Develop your communication skills to effectively share technical concepts, explain complex ideas, & collaborate with diverse individuals. Value different viewpoints & approaches within the AI field. Be open to learning from others and embrace healthy debate and collaboration. Conduct your work ethically and responsibly, considering the potential social implications of AI technologies. This builds trust and fosters positive professional relationships. Be open to feedback and willing to learn from your mistakes. This demonstrates humility and fosters a culture of continuous improvement.

In building professional relationships in AI, it's important to consider the power of soft skills such as communication, empathy, and adaptability. These skills are critical when collaborating on projects, networking, and sharing knowledge. Additionally, staying ethical and responsible in your AI endeavors fosters trust and respect within the community. Personal stories of overcoming challenges in AI projects can also be incredibly inspiring and serve as a bonding tool. Furthermore, actively participating in peer review processes, contributing to open-source AI projects, or assisting in educational programs can further solidify your standing and connections in the AI field.

AI is sparse, expansive, & young, so uncovering “appropriate” relationships is tough. I use a strategy of mine called "bridging”. Bridging deepens & widens relationship networks with you in between Seniors, Peers & Subordinates. Collaboration: Your Peers will have same/similar motivations. Mentored up: Seniors mentoring you & helping you rise. Mentored down: Seniors trust you & will want to connect with subordinates mentored & vetted at multiple levels below you. This opens opportunities at higher levels for mentees. Types of bridging strategies to meet people: WIDE-Peers, International geography, Multi-Industry, AI collaborative technologies e.g. blockchain DEEP-Seniors, Subordinates, Local geography, AI specific, Certain industries #ai

Publishing articles, papers, or case studies related to AI and responding promptly to messages and requests demonstrate reliability and professionalism. Building meaningful connections in the AI industry requires a combination of networking, collaboration, and continuous learning.

Actively participate in AI-focused forums and online communities. Engage in discussions, share your expertise, and connect with professionals who share similar interests.