Voici comment vous pouvez entrer en contact avec des personnes partageant les mêmes idées dans le secteur de l’IA en utilisant des plateformes et des forums en ligne.

Absolutely!! The power of virtual communities is undeniable and offers valuable opportunities for learning and networking. 😊

Join forums like Stack Overflow or Reddit’s AI communities. These platforms are great for asking questions, sharing knowledge, and discussing the latest in AI. You can connect with experts and beginners alike and learn from different perspectives.

To connect with like-minded individuals in the AI industry: - Join AI groups on LinkedIn, follow influencers, and engage with their content. - Participate in AI forums and communities, follow relevant tags, answer questions, and engage in competitions and discussions. - Attend virtual AI conferences and webinars to stay updated and network. - Follow AI publications on platforms like Medium, write articles, and comment on others' posts to contribute to the community and build your presence.

There are plenty of online forums available to connect AI enthusiasts these days. Some popular ones are TLDR and Substack. The hard part is to curate and choose the right ones that fit you. If you are a hands-on AI professional, I would recommend contributing to open-source projects, which allow you to easily become part of the project community and hence be able to actively socialize and partner with other members of the community as well as project partners. The good thing about these projects is that even big companies are actively looking to interact with open-source contributors. Additionally, if you are an industry veteran, I recommend looking at opportunities for mentoring new comers into the field.

Meiner Erfahrung nach liegt der Fokus derzeit stark auf Tools. Als B2B-Experte sehe ich großes Potenzial in der Kombination von RAG (Retrieval-Augmented Generation) und LLM (Large Language Models). Diese Kombination kann unstrukturierte Daten, wie PDF-Dateien, in wertvolle Unterstützung umwandeln. Ein Beispiel dafür ist die Bereitstellung eines Produktfinders für den Vertrieb.

Follow AI experts and enthusiasts on social media platforms like Twitter and LinkedIn. Engage with their posts by commenting and sharing. You can also join Facebook groups dedicated to AI topics to meet and interact with people who share your interests.

Unsere Erfahrung zeigt, dass Social Media als Kanal für B2B-Kunden immer wichtiger wird. Mittels KI können Posts schnell und regelmäßig automatisiert erstellt und veröffentlicht werden.

Social media platforms such as LinkedIn, Twitter, and specialized AI groups on Facebook or Reddit is highly effective. These platforms facilitate networking with professionals, researchers, and enthusiasts worldwide, allowing for discussions on cutting-edge AI topics, sharing of insights, and collaboration on projects. Engaging in AI-related hashtags, following thought leaders, and participating in virtual events or webinars help expand one's network and stay updated with industry trends. By actively contributing valuable content and engaging with others' posts, individuals can establish credibility, foster meaningful connections, and leverage opportunities for career advancement and collaborative partnerships in the AI field.

Social media platforms like LinkedIn, Twitter, and Facebook are powerful tools for networking within the AI industry. Follow key influencers, join AI-related groups, and participate in discussions to stay informed about current trends. Sharing your own projects and insights can also attract connections who share your interests. At RINA, using LinkedIn to share updates about our AI projects has helped us connect with other professionals and expand our network.

Connecting through social media and absorbing the latest perspectives from KOL are very efficient ways to follow recent news and research on AI.

Attend webinars and virtual events focused on AI. These gatherings are excellent for learning from leading experts and meeting other attendees. Often, these events have Q&A sessions or networking opportunities where you can connect directly with other participants.

These events often feature expert speakers and panel discussions to deepen your understanding of AI. They also offer networking sessions or chat rooms where you can engage with other attendees. Be proactive in these settings by asking questions, sharing contact information, and following up with individuals who share similar professional goals. This approach can enhance your knowledge and expand your professional network in the AI field.

One of the events organized by Amazon for the new functionalities of AWS services was the one I attended with my team members. There, I connected with a CEO of a growing startup. We had a discussion on various topics related to AI products. He was interested in learning more about my work, so we exchanged business cards and later met to discuss his project. My suggestions helped him resolve his problem, as a result I got the most expensive project of my career. Events are a great place to showcase your knowledge and expand your network.

If you are in the AI governance space, some of the must-attend events are those organised by the International Association of Privacy Professionals (IAPP). An example is the AI Governance Global conference held by them in Brussels in June 2024. To my knowledge IAPP is one of the hew industry certification bodies dedicated to the field of AI governance and by attending their relevant events, you can no doubt connect and socialize with like-minded individuals in the field. To be clear IAPP is not just focused on data privacy - they have branched out into AI governance so their events are not narrowly focused on privacy aspects of AI, but on the whole spectrum of AI governance issues.

Durch den Einsatz von KI kann die Qualität und Effizienz von Webinaren und Videoinhalten erheblich gesteigert werden. Mit einem einmalig erstellten, photorealistischen Avatar und passenden Skripten lässt sich hochwertiger Inhalt in deutlich kürzerer Zeit produzieren und bereitstellen.

Participate in collaborative AI projects on platforms like GitHub or Kaggle. Working on projects together allows you to build relationships with other AI enthusiasts and improve your practical skills simultaneously.

By joining collaborative projects, you can leverage collective expertise to tackle complex AI challenges and contribute to cutting-edge innovations. These platforms often facilitate discussions, brainstorming sessions, and skill-sharing opportunities that foster collaboration and mutual learning. Through active participation in collaborative projects, I've not only gained valuable insights but also established lasting connections with talented professionals across various domains of AI.

Joining collaborative projects, especially open-source initiatives, is a direct way to connect with peers in the AI industry. Platforms like GitHub host numerous AI projects where you can contribute and collaborate with other professionals. This not only helps you gain practical experience but also builds a network of collaborators who recognize your abilities. Contributing to AI projects at RINA has allowed us to work with diverse teams and solve complex problems collaboratively.

TL;DR: Work on joint AI projects to build connections. Insight: Join or initiate collaborative AI projects on platforms like GitHub, Kaggle, or through hackathons. Working together on projects fosters strong professional relationships. Prompt Example: “Generative AI, suggest collaborative AI projects I can join on GitHub.” Pitfall: Joining projects without actively contributing. Swagger Tip: Take on roles that showcase your strengths and collaborate effectively. Share your progress and results with the community. Unconventional Example: A graphic designer collaborates on an AI art project, blending creative and technical skills to create innovative artworks.

Right here! In this LinkedIn articles section. You can find people with an interest in AI, making contributions to LinkedIn articles in AI. If they have a badge, you know that they are regularly sharing their thoughts. Makes it easier to connect with them and a discussion about their recent contribution could be your conversation starter! I run an AI automation agency at digestprompt.io and I love sharing my thoughts here. Feels so natural to me. Want to connect?

Sign up for online learning communities like Coursera or Udemy, which offer AI courses. Many of these platforms have discussion forums or study groups where you can discuss course material and projects with fellow learners from around the world.

Learning platforms such as LinkedIn Learning offer a wealth of resources such as discussion forums, study groups, and expert Q&A sessions where AI enthusiasts can share knowledge and insights. Engaging in these communities allows for continuous learning, where individuals can stay updated on the latest trends, tools, and research in AI. Personally, I've found these interactions invaluable for expanding my knowledge base, gaining diverse perspectives, and collaborating on projects that push the boundaries of AI innovation. It's a dynamic environment that encourages curiosity, growth, and professional development within the AI field.

Joining AI-focused learning communities can facilitate connections with individuals on a similar knowledge journey. These communities often offer structured courses, study groups, and forums for discussing AI concepts and challenges. Engaging with peers in these environments fosters camaraderie and can lead to lasting professional relationships. At RINA, we have benefited from participating in learning communities to continuously enhance our AI expertise and build a supportive professional network.

Joining learning communities focused on AI, such as DeepLearning.AI Community, has significantly impacted my learning path. These communities offer structured courses, study groups, and forums where members can discuss AI concepts and challenges. These dynamic communities ensure continuous learning and staying updated with the latest trends in AI. Actively participating in these communities can greatly enhance your knowledge and network in the AI field.

Starting a personal blog about your AI journey can be a powerful way to connect with like-minded individuals. By sharing your insights, challenges, and successes, you attract readers who share your interests. This can lead to meaningful conversations in the comments, guest post opportunities, and collaborations. A blog also serves as a personal brand, showcasing your expertise and passion for AI. Consistently writing and engaging with your audience can help you build a supportive community and expand your professional network. Blogging not only enhances your visibility but also deepens your knowledge and connections in the AI industry.

Start a blog to share your own AI projects, insights, and learning experiences. Blogging not only helps you connect with others who might be interested in your work but also establishes your presence in the AI community.

Starting a personal blog about your AI journey is a great way to connect with like-minded individuals. Sharing your experiences, challenges, and successes invites engagement and showcases your expertise. A blog can attract people interested in your perspective on AI, helping you build a loyal readership and a network of contacts. Consistently updating your blog with quality content is key to maintaining and growing this network, fostering professional growth and insights.

Starting a personal blog about your AI journey is an excellent way to connect with like-minded individuals. Sharing your experiences, challenges, and successes invites others to engage with your content. Regularly updating your blog with quality content helps build a loyal readership and a network of contacts interested in your perspective on AI. Consistency in blogging has been key at RINA, helping us establish thought leadership and attract professionals interested in our work.

TL;DR: Share your AI journey and insights through personal blogs. Insight: Start a blog or a Medium page to document your experiences, share your knowledge, and reflect on AI trends. This positions you as a thought leader and attracts like-minded individuals. Prompt Example: “Generative AI, suggest topics for my AI blog to attract readers.” Pitfall: Inconsistent posting or low-quality content. Swagger Tip: Write engaging and insightful posts regularly. Share your blog on social media and in AI communities to reach a wider audience. Unconventional Example: A social worker blogs about AI in social services, connecting with professionals interested in tech-driven social work solutions.

Consider the broader impact of your networking efforts. Engaging with local communities and contributing positively to their development can enhance your reputation and social responsibility. At RINA, integrating community engagement into our networking strategy has reinforced our commitment to making a positive impact while expanding our professional network.

I do find that the Podcasts is also a way to connect with people, we can hear their thoughts and the upcoming technologies and how AI is taking shape. We can get connected to them through their profiles mentioned in podcasts