Que faites-vous si vos innovations en IA ne sont pas reconnues dans le domaine ?

Recognition of AI innovations can also be enhanced by fostering interdisciplinary collaborations. By partnering with experts from diverse fields such as psychology, sociology, or environmental science, novel applications of AI can be explored. This approach not only broadens the impact of AI but also encourages innovative solutions to complex real-world problems, ultimately garnering recognition from a wider audience.

- Join online communities and groups: Connect with other AI researchers and innovators through platforms like LinkedIn or industry-specific forums. Share your ideas and work to get feedback and build relationships. - Attend conferences and events: Participate in conferences and workshops to present your research, network with colleagues, and stay updated on the latest advancements.

If your AI innovations are not getting recognized, invest in peer networking. Engage with the community by attending conferences, participating in workshops, and contributing to online forums and social media groups related to AI. Present your work at industry events and consider publishing in reputable journals or on platforms like arXiv. Networking with peers not only raises visibility for your innovations but also opens opportunities for collaboration, feedback, and potentially, recognition from influential figures in the field.

I'll come at this differently. If your using AI in an industry/use case in a new novel way, Sharing that idea openly with that group of people is important. Half the battle is getting them to understand the tech so they can frame its use within the specific industry correctly. Most challenges with AI is educating the populace about it.

- Publish your research: Submit your work to peer-reviewed journals and conferences in the field of AI. Getting published establishes you as an expert and increases the reach of your ideas. Write articles and blogs: Share your knowledge and insights with the broader AI community by writing blog posts, articles, or even guest posts for relevant publications. - Give presentations: Offer presentations at conferences, workshops, or even local meetups to showcase your work and spark discussions. - Connect with media and influencers: Reach out to journalists and influencers in the AI space to get your work featured in articles or interviews.

Evaluate the way you're presenting your AI innovations. Ensure it showcases the value proposition, benefits, and potential impact on the industry. Sometimes, it's not the innovation itself but how it's communicated that limits recognition.

If your AI innovations aren't receiving recognition, leveraging AI can still be beneficial. Start by: 1. Analyze industry trends and competitor strategies using AI to identify gaps or areas for improvement. 2. Refine your messaging and content creation with AI assistance, ensuring clarity and relevance. Utilize AI-powered marketing tools to personalize outreach efforts and target key stakeholders effectively. 3. Monitor engagement metrics to assess the impact of your communications and make necessary adjustments. 4. Use AI to scour relevant platforms for recognition opportunities such as awards or publications, increasing visibility.

The best marketing is to have other tell your AI story for you. Make it easy for co-workers, blogs, research journals, news outlets, social media groups and influencers, etc etc. to present your work by packaging your ideas and AI innovations in sharable storytelling narratives, visuals, demos, and/or videos. Ask people to comment, engage and re-share your work. Be humble, under sell and over deliver ... after all you are just getting started!

Find your unique voice in the field and find ways to share it! This takes time, but can be built. Make a plan and strategy to write about your work, publish, share on social platforms, speak at industry events, and apply for recognitions regularly.

- Build a website or blog: Create a platform to showcase your research, projects, and expertise. - Be active on social media: Engage with other AI professionals on platforms like LinkedIn and Twitter. - Share content across platforms: Publish articles, tutorials, and updates on platforms like Medium or GitHub to increase visibility. - Join online discussions: Participate in forums and discussion groups to share knowledge, engage with the community, and stay informed.

Leverage social media platforms and other professional networking sites to share updates, and achievements related to your AI innovations.

- Pick your target audience, start with a niche - Use a platform that allows you to share your projects and your experiences to your audience - Build your network: participate in online discussions, in-person events and communities

Share you ideas/research online. X and LinkedIn are good for that. Just remember to write and share in a way that is digestible. Unfortunately these platforms have a method to them and figuring that out is sometimes harder than the research itself!

- Platforms and Resources: Explore online learning platforms like Coursera, edX, Udacity, or fast.ai for specialized courses in AI subfields like deep learning, computer vision, or natural language processing. - Industry Publications: Subscribe to leading AI publications like MIT Technology Review, AI Today, or Nature Machine Intelligence to stay updated on research breakthroughs and industry trends. - Conferences and Workshops: Attend conferences like NeurIPS, ICLR, or AAAI (Association for the Advancement of Artificial Intelligence) to learn from leading researchers, participate in workshops, and network with experts.

Newsletters, X, Youtube creators and LinkedIn are great ways to keep on top of the trends and research. Followign that keeping up certifications through platforms like Coursera, edX, Udacity and DeepLearning are great.

- Seek Feedback Channels: Identify reputable AI forums or online communities where you can share your work and get feedback from peers. - Expert Reviews: Consider engaging with established AI researchers or consultants for in-depth reviews and guidance on refining your innovation. Mentorship Programs: Look for mentorship programs or workshops that connect you with experienced AI professionals who can provide valuable feedback and advice. - Open Communication: Actively solicit feedback from colleagues and peers during presentations or discussions. Be open to constructive criticism; it's an opportunity to refine your work and strengthen your arguments.

The best thing you can do is to actively seek feedback from your actual users (or target audience). They may not always pinpoint what's lacking, but their critiques are key for you to grow. At CBB, we specially analyze feedback that isn't praising us. By using AI to dive into these critical comments, we're able to identify and focus on the areas that need the most improvement. We always learn more from the least happy client.

If your AI innovations aren't getting recognized, integrate feedback to refine them. Seek input from peers and experts, be open to criticism, and make improvements based on insights received. Showcase your work through presentations, publications, and collaborations to reach a wider audience. Engage with end-users for real-world feedback and validate the practical value of your innovations. Stay resilient, learn from setbacks, and persistently promote your work to gain recognition in the AI field.

Seeking feedback from your peers, testers, Red teamers etc allow you to be a better builder and AI representative. This tech is for the poeple and so the feedback from the people is what will make the tech better.

- Long-Term Vision: Building a strong reputation in AI is a marathon, not a sprint. Set realistic milestones and celebrate your progress along the way. - Focus on Impact: Strive to develop AI solutions that address real-world challenges and demonstrate a clear benefit. This can lead to wider recognition and adoption. - Building Relationships: Networking with other researchers, attending conferences, and participating in online communities help build long-lasting relationships within the AI field. This network can be a valuable source of support, collaboration, and future opportunities. - Track Your Progress: Document your efforts, publications, presentations, and awards to showcase your commitment and growth in the field.

If your AI innovations aren't getting recognized, consider increasing visibility through publishing papers in reputable journals and presenting at conferences. Engage with the community via social media, blogs, and forums. Seek partnerships with academic institutions or industry leaders. Continuously improve your work based on feedback and remain persistent in showcasing the unique value of your innovations.

Specialization is your friend. Imagine if we talked about medicine the way we talk about AI. Do you want a gastroenterologist delivering your baby? Or a plastic surgeon managing kidney cancer? Of course not. We want the right person for the right job. If your passion is education, showcase how AI is helping students learn faster. If your day job is finance, share tips on how AI creates kickass excel formulas in seconds. Write the way you speak and have fun (it’s what makes us human!).

Consider hosting or sponsoring events about your AI innovation. This can help showcase your expertise and the utility of your work. It's an effective way to engage directly with your audience, share detailed insights, and build recognition.

In such cases, an individual should take the initiative of true leadership and try to tackle the situation in the following ways: ✅ Reflect on the quality and uniqueness of your AI innovations ✅ Understand current trends and gaps in the AI industry ✅ Engage with peers, attend conferences, and participate in online forums to showcase your work ✅ Write papers, blogs, or articles to disseminate your findings ✅ Partner with established researchers or organizations to gain visibility

Go out of your way to teach your contribution to a select set of people. Gamify, select people and conduct a workshop - teach them, support them and in turn ask for usage of your work in a project. Even if you get a 2% success rate, you would get a decent traction. Invite people to peer review your work. That's another form of engagement.

It really depends on your organisation and sector of focus. However, I'd say that a key first step is to refine your communication strategy. Publish findings in respected journals and present at conferences to highlight your work’s significance. Leverage social media and professional networks like LinkedIn to share achievements and insights. Brag wherever possible! Collaborate with industry influencers and academics to increase credibility and reach. Consider applying for awards in your field to gain formal recognition. Ensure your innovation solves a real-world problem, emphasising its practical impact and value. Whilst engaging with the AI community through webinars to showcase your work's value and application can help raise awareness.