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Bienvenido a otra edición de LevelUp! Bem-vindo a mais uma edição da LevelUp! Thanks to all our 29,840 subscribers and the new 389 folks who joined us this past month. Thanks for being a part of the TECLA community! Gracias! Obrigado!

Unlocking Competitive Excellence in the Dynamic World of Artificial Intelligence

As AI continues to evolve rapidly, it has become a driving force behind disruptive advancements in various industries. Forbes Advisor predicts that AI will see an annual growth rate of 37.3% from 2023 to 2030.

In this edition, we explore how tech professionals can stay competitive amidst the relentless progress of AI. Embracing AI's potential in your career is crucial to success, rather than fearing it.

Join us as members of our Discord Community share valuable insights and strategies for thriving in this AI-driven era. Discover leveraging AI's power to propel your professional journey and excel in this transformative landscape.

“Lately, many of the tools I use to connect and automate processes have incorporated AI tools intending to have the AI propose the communication workflow or diagram between tools and information. Once the rough sketch is generated, I then interact and refine the necessary steps.”

Fede Morales - Machine Learning Dev at AnyoneAI

Embracing Continuous Learning for AI Advancement

Continuous learning is vital for tech professionals to remain competitive in the dynamic field of AI. It involves staying updated with the latest research, trends, and tools through various learning avenues.

Online platforms like Coursera, Udacity, and edX offer AI courses from top universities and institutions. According to LinkedIn's 2020 Workplace Learning Report, 94% of employees say they would stay longer at a company that invests in their learning and development.

Tech professionals must prioritize ongoing learning to stay relevant in AI and adapt to emerging technologies.

Specializing in the Future of Technology

Specialization is crucial for tech professionals in AI to develop expertise and differentiate themselves. For this, you can choose a specific niche within AI, such as:

  • Computer vision

  • Natural language processing

  • Reinforcement learning

  • Robotics

This allows professionals to focus their efforts and deepen their knowledge in a particular area. According to a survey by Indeed, job postings for AI specialists grew by 119% from 2015 to 2018.

Specializing in a niche enables professionals to become sought-after experts in high-demand areas of AI, increasing their chances of career advancement and competitive advantage in the job market.

Future of Work Tools

  • 🔝 Bard API: Unlock Bard's AI potential with a reverse-engineered API powered by Google's latest language model, PaLM-2. Actively utilize Bard's capabilities through this API.

  • 💬 Character AI: Advancing conversational AI to the next level.

  • ❓GitHub Copilot: a coding companion that offers autocomplete suggestions to programmers.

  • 🏕️ DataCamp Workspace AI: aims to make data science more accessible and productive for its users.

  • 🖌 html.to.design: Transform any website into Figma designs that are entirely editable.

  • 🤖 Databerry.ai: Develop ChatGPT Plugins for seamless data integration. Leverage the Plugin Store to enhance brand visibility. Analyze user interactions and obtain valuable insights and statistics.

Innovation through Hands-on Experience

Tech professionals in AI need hands-on experience to strengthen their skills and showcase practical applications. Engaging in AI projects, Kaggle competitions, and open-source contributions are effective ways to gain valuable experience.

According to Deloitte, 56% of executives consider hands-on experience the most important credential for hiring AI roles. Practical experience enables professionals to demonstrate their ability to implement AI techniques, solve real-world problems, and achieve tangible outcomes.

The Moral Landscape in a Technological Era

Ethical awareness is crucial for AI tech professionals to address social and moral implications. Understanding ethical frameworks, bias mitigation, and responsible AI practices is essential.

According to Deloitte, 32% of executives consider ethics the top challenge in AI adoption. Tech professionals must stay informed and apply ethical guidelines, promoting fairness and trust in AI systems.

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I hope you enjoyed this week's edition! Have questions or topic suggestions? Let's chat! Remember to check out our Discord channel, where you can join a thriving community of 1,570 LATAM professionals who discuss career tips and networking opportunities. We're here to help you soar to the top.

Stephanie Cerf - Head of Community at TECLA.

Embracing Continuous Learning for AI Advancement