How do you keep up with the latest trends and innovations in AI?

Read, connect with likeminded individuals and experiment ( get hands on ). If you don’t understand how the new technology works - how can you advise others.

In my journey with AI, I've found immense value in curating my learning resources. Regularly reading specialized newsletters and following leading voices in AI on LinkedIn, especially those involved in development of AI and policy-making, keeps me up to speed. Engaging in AI communities and attending webinars further enhances my understanding, allowing for valuable exchanges with fellow AI enthusiasts. This focused approach to staying updated in AI not only informs my work but also enriches my professional network.

Learning about AI is no different to learning another new area of knowledge. It is best to use your favourite methods. Mine is to follow people on social media who speak interestingly about AI plus subscribe to newsletters. I am most likely to read people who share their thoughts and avoid sources that are just a collection of links or publications. I immerse myself in this stream of information until the knowledge settles naturally in my head.

I tend to follow research sites and analyst reports (Gartner, IDC,IBM research etc)..Also been following some people in LinkedIn who had some great experience working in the field and are willing to share their knowledge ...

Set alerts on Google Scholar for the most recent academic research papers on AI; follow LinkedIn profiles of international policymakers (UN, OECD, EC, Council of Europe, FTC, CMA, ACCC) for their newest policies and legislation; and get mLex notifications on regulatory news, expert comments and reports on AI.

One of the most powerful recent displays of leaps in AI-generated content creation (about which I am aware) debuted on March 23, 2023 at Canva Create. The tools they launched are nothing short of mind-boggling.

While attending events and webinars is, in principle, an excellent way to get an overview of the latest trends in the given area, one must be careful when choosing conferences or online meetings concerning AI. Many of them will only touch the problems related to privacy&AI only superficially. Thus, I would strongly advice to attend events and webinars organised by well-known, established entities and individuals (e.g. #IAPP), especially if you are a beginner in the area of AI??. When you get fundamentals you can try to attend more ?underground” conferences, meet-ups ??

"To improve is to change; to be perfect is to change often," said Winston Churchill. By actively learning new skills and tools, you can stay at the forefront of AI innovations. In my experience, taking online courses from platforms like Coursera, edX, or Udacity can help you stay updated on the latest advancements in machine learning, deep learning, and AI frameworks. Additionally, follow industry leaders and AI researchers on social media, and read cutting-edge research papers. One effective practice is to experiment with new AI tools and libraries, such as TensorFlow or PyTorch, by building small projects. A common mistake is becoming complacent with current knowledge.

Alpha Signal AI Weekly KDnuggets News Data Elixir The Batch Import AI The Algorithm Exponential View Data Science Weekly Data Phoenix O'Reilly Data Newsletter Analytics Dispatch The Reshape

As someone interested in expanding your machine learning and deep learning skills, I would recommend focusing on enhancing your programming abilities, especially in Python or R. These languages provide the foundation for implementing machine learning algorithms and building neural networks. Additionally, pursue courses and certifications in topics like data analysis, statistical modeling, deep learning frameworks such as TensorFlow and PyTorch, and cloud-based development platforms. Hands-on experience through Kaggle competitions, personal projects, and open-source contributions will allow you to apply your new skills and demonstrate them to potential employers. Soft skills like communication and creativity are also important.

Most important to join a community, where you can enjoy and exchange. Learn. There are plenty of platforms with communities, which can help you. Which one to choose, depends on what you want to learn and what your use cases are. There are also specific ones for women. DM me, if you would like to learn more.

Set up a discussion group in which you will be able to share news related to AI and discuss various aspects of that issue. Networking with peers is easier if you collaborate and actively seek opinions on your insights. For me, the most valuable is connecting with people from all walks of life and gaining their perspective on challenges related to AI development.

Engaging with a community of peers and experts is crucial. Regular interactions, be it through forums, webinars, or collaborative projects, provide a dynamic learning environment. This method not only keeps one updated with the latest trends but also encourages the sharing of diverse viewpoints, fostering a deeper comprehension of AI's practical applications. It's about creating a learning ecosystem where collective wisdom benefits all.

"Learning by doing" is one of the best ways to improve your skills in this rapidly evolving environment. Sign up for tools and software. Give them a try. Use them on a regular basis. Don't be afraid to make mistakes. I started using the public tools (generative AI and chatbots like ChatGPT) around a year ago. Like most things, it can be a bit daunting at first. Eventually, however, it gets easier and fun. Give it a try. You have nothing to lose!

Theoretical knowledge is just a small part of gaining expertise , Curious mind and the will to experiment and learn from the mistakes is a journey towards real success. Several Online educational resources such as kaggle , kdnuggets and various others can be utilized to perform experiments with learn on the go. Collaborate and learn from others mistakes and their approach towards problems . Active learning in this domain is the best source to gain expertise and elevate your grip over the concepts in ever changing Ai world .

Staying current in the dynamic world of AI depends greatly on nurturing a sense of exploration and adaptability. It's not just about learning; it's about evolving with the technology. This mindset ensures a continuous evolution alongside AI advancements, embodying a journey of perpetual learning and innovative thinking.

Stay curious and always be learning. By keeping up to date with the latest news and research, we can make informed decisions about how to use AI in our lives and work. Additionally, being curious and learning about AI can help us come up with new ideas and solutions to problems that we might not have thought of before. So, keep asking questions, keep learning, and keep exploring the exciting world of AI!

Some ways to stay informed about AI: -Be a lifelong learner -Don't be afraid to explore topics that are new to you -Research multiple scholarly sources -Attend webinars

As we learn more about Artificial Intelligence (AI), it's important to think about how it might affect different people and groups. While AI can do a lot of good things, it can also be used to cause harm. So, when we read about new AI trends and developments, we should try to think about how they might impact people who are already struggling or might be hurt by the technology. We should also pay attention to things like privacy and fairness, to make sure that AI systems don't end up hurting people or treating them unfairly. It's up to us to ask questions and hold companies and developers accountable for making sure that AI is used in a good and fair way.

I employ a multifaceted approach to keep up with the latest trends and innovations in AI. This includes continuous learning through online courses and tutorials, following thought leaders on social media platforms, attending conferences and webinars, reading research papers, engaging in hands-on experimentation and projects, participating in online communities, and staying informed through industry reports and news articles. By actively pursuing these strategies, I ensure that I remain current and well-informed about the rapidly evolving landscape of AI.