Here's how you can utilize artificial intelligence and machine learning in your career.

Specifically to help with your career: 1). DO NOT BE AFRAID! 2). Use ChatGPT or similar to help you with your resume 3). Before going to job interview- ask ChatGPT what kinds of questions may be asked at the interview 4). Lean, Learn, Learn.. you can take a lot of online courses- some as short as 15 mins about AI 5). Get free account licenses from AWS and Azure and play around in the sandbox 6). Build your own ML models using AWS/Asure tools to get the basic background and understanding.

Aprender sempre. Com IA não é diferente. O conteúdo é muito vasto, e fica inútil rápido. Melhor forma de aprender, no início, é conversar com quem já sabe. Para quem não tem habilidade técnica, não é por aí que você vai começar. Comece entendendo o que é possível fazer com IA. Junte isso às suas tarefas mais repetitivas e tediosas, às suas perguntas mais desafiadoras, aos seus objetivos mais relevantes de negócio, carreira ou vida. Você terá a receita para coisas interessantes! Escolha uma coisa para melhorar. Procure por casos de alguém que já fez isso. Peça ajuda a uma IA - chatgp, gemini, copilot etc. - você terá um guia. Pense grande, comece pequeno, persista. Você vai aprender fazendo, com resultados durante o aprendizado.

In banking innovations, AI and ML have been game-changers by powering fraud detection systems, personalizing customer experiences, and optimizing risk management. Leaders must not only encourage their teams to embrace these technologies but also actively invest in their learning and development. This can be achieved through partnerships with educational platforms and by setting up internal training programs that are tailored to the specific needs of the banking sector.

To start utilizing AI and ML, invest in learning these technologies. Numerous online courses offer foundational knowledge and hands-on experience. Begin with the basics of algorithms and data analysis, then progress to more complex subjects like neural networks and natural language processing. Understanding the principles behind AI and ML will enable you to identify opportunities for their application in your work and communicate effectively with technical teams.

Upskill not just for the next 5 years! Start researching what’s beyond Gen AI, invest in daily education and reading - the pace of change of AI requires this commitment! Invest time in going to events and meeting established SMEs - when you consider upskilling it’s no longer about coding, it’s about grasping iterative concepts like neurotrophic engineering FAST!

Here are things to do: 1) You can learn how to do prompt engineering. 2) Once that is done then you will need to learn how Gen AI and prompt engineering can be useful for your work flows and and you filed or niche. This could be Content writing, Data analysis, Creating reports using Excel, etc. 3) Pick one or two things which you can do with using AI and get very good at it. 4) Then create a process of above thing write it down and see how you can automate it using Zapier or something similar which will save you even more time. Most important thing would be understand how things works and how join the dots using practical experimentation.

Conforme o ser humano evolui, as máquinas também evoluem. No mundo da tecnologia, isso é conhecido como deep learning, um subcampo do machine learning que utiliza redes neurais artificiais para analisar e se tornar mais "humanóide". Muitas pessoas temem que a IA irá tirar nossos empregos, mas a verdade é que podemos e devemos utilizá-la a nosso favor. Embora as máquinas não nos forneçam a resposta correta o tempo todo, podemos usá-las para aprimorar nossas próprias respostas. Elas podem nos ajudar a escrever melhores documentações e a contribuir com novas ideias em nossos times. Em resumo, a IA não é nossa inimiga. Muito pelo contrário, ela pode se tornar nossa melhor aliada. Basta aprender a usá-la e saber quando implementá-la.

AI give you an high performance and accuracy models that gives you a very good and accurate insights on your data Moreover you can use it on time series data to predict the next steps to the future

Artificial intelligence can generate insights to conduct better analyses, determining patterns and trends and thereby obtaining information that contributes to the development of relevant interventions, however, I believe that it should be used as decision support and not as the sole truth.

AI excels at processing vast amounts of data quickly and accurately. In your career, leverage AI tools for data analysis to gain insights that would take much longer to uncover manually. For example, if you're in sales, use predictive analytics to forecast trends and consumer behavior. In healthcare, ML algorithms can help diagnose diseases by analyzing medical images with precision that often surpasses human capability. These applications not only streamline processes but also enhance the accuracy and reliability of your analyses, leading to better outcomes and more informed decisions.

AI-powered data analytics tools have revolutionized decision-making processes, enabling businesses to leverage data-driven insights for better outcomes. Harnessing the power of AI in our daily tasks, individuals/businesses can make informed decisions, optimize operations, and drive growth in today's competitive landscape.

Não analise os dados. Analisar os dados é para os fracos. Explore. Incremente. Transforme. Simplifique. Amplifique. Correlacione as coisas que não são óbvias. Crie hipóteses. Teste hipóteses. Erre. Acerte. Não faça a mesma coisa que você fazia no excel arrastando a fórmula e criando a retas e curvas. Você pode fazer muito mais que isso - e é desse muito mais que as coisas legais vão aparecer! Use racionalidade e crítica junto com suas ferramentas de dados. Se um resultado não faz sentido, pode realmente não fazer. Se uma correlação parece não ser causal, talvez realmente não seja. Você não vai descobrir os melhores insights nas primeiras horas de trabalho sobre os dados - eles virão depois de muito mais que isso.

Machine learning can automate repetitive tasks, freeing up your time for more complex and creative work. For instance, if you're involved in customer service, chatbots powered by AI can handle routine inquiries, allowing you to focus on solving more intricate customer issues. Similarly, in fields like law or finance, document analysis can be automated with ML algorithms, significantly reducing the time spent on document review. By automating these tasks, you can improve efficiency, reduce human error, and dedicate more time to strategic initiatives and innovative projects.

Working alongside skilled professionals and technical teams allows for the cross-pollination of ideas, fostering innovative solutions that can propel your organization to new heights. Whether you're in a leadership role or an individual contributor, the ability to speak the language of AI and ML can set you apart in your career.

Não caia na besteira de achar que IA vai ser criativa. Não vai. Porque não é assim que funciona. Quem será criativo é você, e poderá ser mais criativo à medida que tiver contato com um volume maior e mais variado de informações. E a IA pode te ajudar neste ponto: trazer mais informações, mais variadas. Se você parar aí, não terá criado nada. Se for além, poderá ser um destaque na sua área. Perguntará o porque sim, o porque não, se a pergunta é essa mesma e se ela é relevante para ir atrás da resposta. Não terá isso de uma IA. Jamais. Pela natureza como ela é feita. A aleatoriedade organizada é própria nossa, dos humanos. A aleatoriedade de IA é apenas devaneio matemático, pseudo aleatória - e o que não é aleatório em IA é apenas repetição.

collaboration is key in the world of AI and ML. Working alongside skilled professionals and technical teams allows for the cross-pollination of ideas, fostering innovative solutions that can propel your organization to new heights. Whether you're in a leadership role or an individual contributor, the ability to speak the language of AI and ML can set you apart in your career.

the integration of AI and ML into your skillset is a strategic move that can have far-reaching benefits. Embrace the learning process, seek out collaborative opportunities, and watch as these powerful technologies enhance your professional capabilities and drive your career forward.

Some of my personal recommendations: - TLDR weekly newsletter - Medium weekly digest newsletter - AI weekly by essentials These comprehensive weekly overviews have been keeping me updated on interesting trending topics and package release events. A good way to keep up with developments in the field without it requiring to be a full-time job to scroll and search for updates yourself.

Staying informed of all the AI/ML topics can be a complicated task! but don't get discouraged, Rome was not built overnight! Dedicate weekly time to stay informed of AI/ML topics- pick a topic which interests you e.g. NLP and learn all you can about this topic. You will never be an expert in everything, do not try. Start with one topic, and branch out. You can do it, just dedicate sometime!

Make sure you have a good understanding of the problem you're solving. Start with domain knowledge to extract meaningful features before blindly pumping data into ML algorithms. If not done correctly, there is a chance of the trained models picking up noise, or the models might learn patterns that are highly correlated to, but not describing the specific target outcomes.

Consider learning the basics first. There are many fundamentals you need to know first. What is AI? What is ML? What is NLP? LinkedIn is a perfect platform to learn fundamentals. Once you learn basic concepts, you can move to more advanced... but as always reading is fundamental :)