What do you do if your skills in AI aren't getting noticed in the competitive industry?

You should enhance your profile and highlight your expertise. In any technology, you must dedicate time and energy before you can excel. Take one step at a time, and whatever you learn, make sure to share it with others to help them understand more quickly. Stay updated with the latest trends in AI, and approach learning with the curiosity of a child. Don't hesitate to acquire knowledge wherever you find it. Ensure you are up-to-date with frameworks and tools. By following the steps, everything else will fall into place naturally. Use AI-powered tools to enhance your LinkedIn profile and highlight your skills.

Become an AI generalist and start producing content that educates others on the practical use cases of AI. Write s blog, start a vlog or go on podcasts. Get involved in as many AI protocols as possible and position yourself as an industry expert.

A common misconception when it comes to upskilling is that taking a tactical course (like a coding class) is going to demonstrate proficiency. That rarely works in super innovative fields like AI because it's so new that the cheap online courses themselves are created by people who don't have a ton of expertise in the subject -in fact, most of them are creating the course in order to learn themselves. Isn't the best way to learn something new to teach it?! So my advice is that you be the teacher. Rather than take a course, create a course and measure your success by the number of people who take your course and what their feedback is on it. You can apply this recipe to any innovative field.

Think of your AI skills as a piece of software—regular updates keep it cutting-edge. Continuously refine your skills by taking advanced courses, participating in workshops, and staying updated with the latest research. It's like upgrading from an old phone to the latest model; polished skills make you stand out in a crowd of professionals.

If your AI skills aren't getting noticed in the competitive industry, focus on building a strong portfolio that showcases a diverse range of projects, including open-source contributions and personal or collaborative projects. Document these projects with detailed case studies that highlight your specific contributions and quantifiable results. Network actively by attending industry conferences, workshops, and local meetups, and by participating in online communities like Reddit, Stack Overflow, GitHub, and Kaggle. Additionally, invest in personal branding by keeping your LinkedIn profile updated with your latest projects, skills, and achievements, and by writing articles or blog posts to share your insights and expertise.

AI is not a field of dreams - if you build it, stick it in a portfolio, and keep it moving, no one will notice. You have to take it one step further; document and share your portfolio. The AI community is a collaborative one. Sharing code, posts about something you built, and sharing demos on GitHub, Hugging Face, YouTube, and LinkedIn will help get you noticed

In the field of AI what will be very helpful is to have some external validation of your skills. For example, in AI governance it is helpful for building your personal brand if you obtain a certification such as the IAPP’s AI Governance Professional.

Create a strong GitHub profile showcasing your AI projects. Develop diverse AI projects demonstrating different skills and applications. Contribute to open-source AI projects to gain visibility and collaboration experience. Participate in Kaggle competitions and share your solutions. Create a personal website or blog to showcase your projects and insights. Document your projects thoroughly, explaining your approach, challenges, and results. Include real-world applications or business-oriented projects in your portfolio. Demonstrate your ability to deploy AI models in production environments.

Start by creating a personal website or using platforms like GitHub to showcase your projects. Include detailed descriptions of each project, explaining the problem, your approach, the algorithms used, and the results. Add visualizations, code snippets, and links to full code repositories. Highlight a variety of projects, including those involving data analysis, machine learning models, and AI applications. Regularly update your portfolio with new work and improvements. Share your portfolio link on your LinkedIn profile and resume to ensure potential employers can easily access and evaluate your skills.

I think highlight AI expertise, Through online forums, professional associations, and networking events, make connections with AI specialists, business leaders, and possible employment. Look for mentorship and find out about new positions that fit your AI experience.

Networking takes many forms. For some, it includes volunteering to lead or teach non-tech workers in different industries or mentoring college students.

Actively networking in the AI community is like building relationships in any social circle—it's about genuine connection and mutual support. Attending conferences, participating in forums, and engaging in hackathons not only expand your knowledge but also introduce you to peers and leaders in the field. Being genuinely interested in others' work and offering your insights or assistance not only fosters collaborations but also builds a reputation as someone who contributes meaningfully to the community.

Networking is like planting seeds for your career. Attend industry events, join AI communities online, and connect with professionals on LinkedIn. Building these relationships can open doors to new opportunities. It’s like finding hidden job openings and collaboration opportunities that aren't advertised publicly. It's not always what you know, but who you know.

Cultivating a strong professional network is instrumental in unlocking opportunities beyond your technical skills. Immerse yourself in the AI community by attending industry conferences, engaging in AI forums, and participating in hackathons or competitions. These platforms facilitate connections with peers and industry leaders. Approach networking with genuine curiosity and a willingness to contribute. Offer your expertise or assistance on projects that align with your interests. Proactive engagement fosters collaborations, potential job prospects, and a robust presence within the dynamic AI landscape.

Attend AI conferences, meetups, and workshops (virtual or in-person). Join AI-focused groups on LinkedIn and participate in discussions. Engage with AI professionals and thought leaders on social media platforms. Participate in online AI communities and forums (e.g., Reddit's r/MachineLearning). Seek mentorship opportunities from experienced AI practitioners. Collaborate with peers on AI projects or research. Attend industry events and job fairs focused on AI and technology. Leverage alumni networks if you've completed AI-related courses or degrees.

Developing a personal brand is being made so complicated...but it's not. It's simple...start speaking. That's the quickest way to start creating your own brand. You need to be aware of two questions... 1. What do you get asked the most about your industry? 2. What are you surprised that people already know? Those two questions will provide you with endless content opportunities. And default to video. Video is the only form of marketing that can be turned into every other form of marketing. If you'll commit to creating video content, you can create a blog from your videos, graphics, a podcast, short videos, etc. You'll be all over the internet in no time. If I can help, hit me up!

To enhance my visibility in the AI field, I focused on personal branding by regularly sharing insights on LinkedIn and Medium. I published articles detailing my AI projects, methodologies, and outcomes, utilizing frameworks like CRISP-DM and tools such as TensorFlow and Scikit-learn. I also spoke at industry conferences and webinars, presenting case studies that demonstrated my expertise, and aligning my content with senior management principles to resonate with decision-makers.

When it comes to visibility, personal branding is important. Use platforms like LinkedIn to share your achievements, and certifications, and publish thought leadership posts and articles. Be active in engaging with other thought leaders on LinkedIn. The idea is to showcase your AI skills to the right audience.

Technology, particularly new technology is scary to most people. If you can explain it simply and in a way people can understand, you'll become viewed a leader in the field. Here's the key to doing that: take it back to the analog. All tech can be explained with a physical old school example. Podcasts = a return to radio shows (think "A Christmas Story"). Geo-targeting = digital version of mailing a post card to everyone on a specific block. Large Language Model AI = AI version of finishing each other's sentences. Etc. Find a simple way to explain what the tech is really doing.

Create a personal brand that showcases what you know and love in AI. Teach through blogging, article writing, speeches or video making. Raise your visibility by being active on social media – especially those used by AI practitioners.

Clearly state what makes you different. Is it a specialization? A method of solving problems? Achievements? Just ensure that whoever is considering hiring or working with you knows how special your contributions would be.

In today’s competitive AI industry, showcasing your skills effectively is crucial for strengthening your UVP. 1. Showcase Unique Applications: Use your AI skills creatively and innovatively to align with your industry. For instance, in fashion, I’ve used AI for concept development and storytelling. 2. Build a Strong Online Presence: Share your AI projects on professional networks like LinkedIn and GitHub. Publish articles, case studies, or blog posts detailing your work and its impact. I regularly share how AI influences my designs at the House of Nova. 3. Network and Collaborate: Attend industry conferences, and webinars. I personally enjoy speaking at a variety of events to both network as well as share industry trends with my peers.

I focus on crafting a clear value proposition by identifying unique skills and how they solve specific business problems. For instance, I integrated my AI solutions with business objectives, emphasizing cost savings and efficiency improvements. Using the Value Proposition Canvas, I highlighted tangible benefits and success stories in presentations, ensuring decision-makers understood the direct impact of my contributions. This approach helped align my expertise with organizational goals, making my skills indispensable.

Clearly articulate what sets you apart by identifying your unique strengths and the specific benefits you bring to potential employers. Focus on your specialized knowledge, such as expertise in particular AI algorithms, problem-solving abilities, or industry-specific applications. Highlight your successful projects and their impact, using quantifiable results to demonstrate your effectiveness. Tailor your value proposition for different audiences, ensuring it resonates with their needs and challenges. A strong, clear value proposition makes you stand out and showcases the tangible value you offer.

Your unique value proposition (UVP) in the AI industry is like the melody that makes your song stand out amidst the noise—it's a blend of your technical prowess, practical experience, and personal qualities that resonate uniquely with potential employers or collaborators. Articulating your UVP isn't just about listing skills; it's about showcasing how your expertise has directly impacted projects or solved critical challenges.

Feedback is your compass to improvement. Embrace criticism like a stepping stone. Ask for feedback from mentors, colleagues, or industry professionals. It’s like getting a performance review that helps you identify areas for improvement. Constructive criticism can guide your learning and growth, helping you to fine-tune your skills and become more competitive in the industry.

Mentorship and tutoring play crucial roles in professional and personal development. Having an experienced mentor or tutor can provide valuable guidance, helping to avoid common mistakes and accelerate the learning curve. Mentorship offers a unique opportunity to receive personalized feedback, career guidance, and skill development, as well as access to a broader network of contacts. Additionally, being a mentor or tutor can also be extremely rewarding. Teaching and guiding others not only reinforces one's own understanding but also contributes to the development of the next generation of professionals, creating a continuous cycle of learning and collaboration.

Regularly seek feedback from peers, mentors, and industry professionals to refine your skills and approach. Constructive criticism helps identify areas for improvement and provides insights into industry expectations. Use this feedback to continuously enhance your capabilities and stay competitive.

Embracing feedback is a cornerstone of professional growth. Actively seek input from mentors or colleagues to gain valuable insights into your work and professional demeanor. Constructive criticism offers invaluable opportunities for improvement and skill refinement. Demonstrating a willingness to learn and adapt through feedback showcases humility and a growth mindset, qualities highly valued in the dynamic AI industry.

Regularly updating your knowledge and skills is crucial. Stay ahead by identifying emerging trends and technologies. Integrate foresight into your project planning and align with long-term business goals. Use scenario planning and SWOT analysis to prepare for potential challenges and opportunities. This ensures your AI solutions remain relevant and forward-thinking, positioning you as a thought leader in the industry.

The above steps apply in most sectors however what is important is to tailor the definition on who you are and what you can you bring to the table. What is your added value to the organisation.

If your AI skills are not getting noticed, focus on building a strong online presence. Share your projects on platforms like GitHub and Kaggle, write blogs on Medium or LinkedIn, and contribute to open-source projects. Network with industry professionals through conferences, webinars, and social media. Tailor your resume and portfolio to highlight your unique contributions and real-world impact. Continuously update your skills with the latest technologies and trends. Seek feedback and mentorship from experienced peers. Demonstrating your expertise through consistent, high-quality work and active engagement in the AI community can significantly boost your visibility and opportunities.

Consider gaining industry-specific certifications to add credibility to your skill set. Stay adaptable and open to learning new tools and technologies as the AI field evolves rapidly. Engage in interdisciplinary projects to broaden your expertise and increase your attractiveness to a wider range of employers.