How to stay on top of what’s going on in the AI world? | AI in business #118

Do you need to know how to code to start using AI?

You don’t have to be a developer to start being in AI world. Thanks to advances in machine learning and the development of no-code AI, the use of advanced AI tools is now available to anyone, regardless of technical skills.

From ChatGPT (https://chat.openai.com/), which can write an essay or generate code for you, to HeyGen (https://www.heygen.com/), which can generate videos of your virtual self, to Midjourney (https://www.midjourney.com/), which can create images, AI tools can greatly assist you in your work without programming. You don’t have to wrestle with lines of code – all you have to do is skillfully type in your request, and AI takes care of the rest.

Of course, being familiar with the basics of programming and machine learning, and especially the basics of generative artificial intelligence, can be useful if you want to deepen your knowledge or create more advanced AI applications. It will give you a better understanding of how these tools work and how to use them to their full potential. For now, though, you can simply enjoy the ease and freedom of using them without having to spend years learning to code.

Where to get up-to-date information from the AI world?

With AI evolving at such a rapid pace, staying on top of the latest trends and discoveries can seem daunting. Fortunately, there are a number of information resources available to help you stay ahead of the curve. One such resource is the AI series on the IFIRMA website (https://www.ifirma.pl/kategoria/blog/ai/ai-w-biznesie). Regularly published articles provide valuable information on AI applications in business, as well as tips on how to implement these technologies in your organization.

The key, however, is to skillfully combine sources and regularly update your knowledge. It makes sense to start with educational materials from leading players in the AI market, such as Google, OpenAI, and DeepMind. Online courses, webinars, and step-by-step guides will give you a solid theoretical foundation and practical skills for using AI tools. Try out:

• AI basics on aihero.pl (https://www.aihero.pl/kursy/podstawy-pracy-z-ai) – this free AI course is a solid starter if you’re just beginning to use AI tools,
• Introduction to Generative AI Learning Path from Google (https://www.cloudskillsboost.google/paths/118) is an overview of generative AI concepts, from the basics of large language models to the principles of responsible AI,
• Generative AI for Everyone from Deeplearning.ai (https://www.deeplearning.ai/courses/generative-ai-for-everyone/) teaches how generative AI works and how to use it in everyday life and at work.

Source: Deeplearning.ai (https://www.deeplearning.ai/courses/generative-ai-for-everyone/)

Podcasts are a great way to explore AI topics in an accessible format. Here are a few suggestions worth checking out:

• 99 shades of AI” (https://www.99twarzyai.pl/category/podcast/) – a podcast hosted by Karol Stryja in which experts, researchers, and practitioners share their experiences and insights on AI,
• ”Understanding AI” (https://businessinsider.com.pl/zrozumiec-ai) – a series of podcasts and articles covering AI topics from basic concepts to applications in various fields.

Signing up for newsletters dedicated to AI is also a great way to get regular doses of up-to-date information and interesting facts. Two particularly valuable examples are:

• „The Batch” from DeepLearning.AI (https://www.deeplearning.ai/the-batch/) – a weekly newsletter providing news and insights from the world of AI, designed for both beginners and experts,
• „The Neuron” (https://www.theneurondaily.com/subscribe) – a newsletter showcasing the latest developments and trends in AI along with practical tips and tools from experts.

Source: Deeplearning.ai (https://www.deeplearning.ai/the-batch/)

In addition, it is worth following the blogs and social media of AI experts, such as Aleksandra Przegalińska, Wlodzislaw Duch or Adam Gospodarczyk and Grzegorz Róg. They share their insights, analyses and forecasts on AI development, which can be a valuable source of inspiration and knowledge.

We should also not forget about traditional methods of finding information, such as browsing books and scientific articles, for example on ArXiv (https://arxiv.org/). While these may not be as up-to-date as blogs or social media, they provide a much deeper understanding of the concepts and theories behind AI, which is crucial for a deeper understanding of the field.

Although the sources we recommend above are very valuable, they represent only a fraction of the interesting news related to AI. If you are looking for inspiration, pay attention to the reputation of the authors, the timeliness of the content, and the support of the theses presented with concrete examples and data. A critical approach will allow you to avoid the misinformation that often accompanies this popular topic and to form an accurate picture of the state of knowledge in the field of AI. But now it’s time for tools – how to start learning AI practically?

Is it worth trying out all the tools one by one? Or is it better to learn two of them well?

In the world of AI, where exciting new tools appear almost daily, it is easy to be tempted to try them all out one by one. But is this approach effective? Maybe it’s better to focus on mastering a few key solutions that best fit your needs and goals?

Consider the following arguments for a selective approach to learning AI tools:

1. Saving time and energy. If you try every new tool that comes out, you risk diverting your attention and energy. Instead of wasting valuable time learning how to use dozens of applications, it’s better to focus on gaining a thorough understanding of the ones that are most relevant to you. In this way, you’ll become proficient more quickly and reap real benefits from using them.
2. Increased efficiency and productivity. The better you master a given AI tool, the more efficiently you can use it in your work. Knowing all of its features and nuances will help you complete your tasks faster and more efficiently. This, in turn, translates into higher productivity and better results.
3. Consistency and predictability. By using the same tools consistently, you can develop a systematic and uniform style of work. Its results will be more uniform and easier to control, which is especially important for long-term projects or collaborations with others.
4. Optimizing processes and integrating AI into daily work. By focusing on a few key tools, you can optimize your work and seamlessly integrate AI into your daily tasks. This will make AI a natural extension of your skills, rather than an additional burden.
5. Saving money. Many AI tools operate on a subscription model or require user fees. Typically, the amount for monthly access starts around $20 (80 zlotys) plus tax. By limiting the number of applications you use, you can save a lot of money and better control your budget for new technologies.

Of course, this does not mean that you should give up experimenting with new tools altogether. On the contrary, it’s a good idea to regularly browse the available options, for example at There’s An AI for That (https://theresanaiforthat.com/), in search of innovative solutions that can improve your work. More than 13,000 tools are already there!

So before you make a decision, think about what your key needs and goals are. Find the tools that best meet them and test them. If they prove useful, gradually add them to your toolkit, while ensuring that the number of active applications remains within reasonable limits. This approach will allow you to take advantage of advances in AI while maintaining focus and efficiency.

Source: DALL·E 3, prompt: Marta M. Kania (https://www.linkedin.com/in/martamatyldakania/)

Do you really need to be up to date with AI world?

Technological progress seems to be accelerating every day. For many, the pace of change can be frustrating, so they question the need to keep up with AI developments. Isn’t it enough to just focus on your work and wait for the revolution to come to you?

If you want to stay competitive and realize the potential of artificial intelligence, you can’t bury your head in the sand. While you don’t need to follow every update, understanding the potential and capabilities of these technologies is essential. Let’s look at some of the key reasons why you need to keep up with AI:

• AI is changing dynamically – unfortunately, in business it is impossible to stand still, especially as companies are creating a gap between themselves and their competitors faster than ever before. In other words, if you don’t try to keep up with AI developments, you risk making your skills and knowledge obsolete,
• AI is no longer just another IT tool – is a true transformation, comparable to the invention of the Internet or the development of the word processor. Over the next few years, AI will change the way we work, learn, and communicate, becoming an integral part of our professional and personal lives.

Imagine having a virtual assistant to help you write reports, create presentations, and even code. Imagine being able to use a sophisticated data analysis tool that can instantly extract key insights from vast collections of information. This is not the distant future – these capabilities already exist thanks to AI.

Źródło: DALL·E 3, prompt: Marta M. Kania (https://www.linkedin.com/in/martamatyldakania/)

Summary

Artificial intelligence is a technology that is changing the face of the modern world. Its influence extends to almost every aspect of life, from business to education to entertainment. With such a dynamic development, it is important to constantly update your knowledge and skills in using AI tools.

Understanding how these tools work and how to use them will not only make you more productive, but also open the door to new opportunities and innovations. But remember, learning AI doesn’t have to be overwhelming. You can start with small steps and gradually increase your involvement.

Here are some practical tips for incorporating AI learning into your daily routine:

1. Subscribe to an AI newsletter or news channel to get regular updates.
2. Set aside a weekly “AI time,” an hour or two to read articles, watch webinars, or try out new tools.
3. Join the AI community on platforms like Reddit, Discord, and Slack, where you can discuss and learn from other enthusiasts.
4. Pay particular attention to AI trends that may affect your industry or profession. These could include recommendation systems for e-commerce, chatbots for customer service, or business process automation tools.

Remember, AI is more than a tool-it’s a new way of thinking and solving problems. The sooner you get comfortable with it, the easier it will be for you to adapt to the coming changes and reap the benefits of this disruptive technology. Be curious and willing to learn – that is the key to success in the AI era.

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