Veja como você pode ficar à frente aprendendo as principais tecnologias emergentes como Gerente de Programas.

AI will be part of every project in some shape or form. One should embrace and work with AI as a tool to better serve the project/program once you are in that mode put in your program management skills to better manage NLP/AI or nay other project.

1. *Artificial Intelligence (AI)*: Understand how AI can automate tasks, enhance decision-making, and improve customer experiences. 2. *Cloud Computing*: Learn about cloud infrastructure, migration, and management to enhance scalability and efficiency. 3. *Internet of Things (IoT)*: Explore how IoT can connect devices, enhance data collection, and improve operational efficiency. 4. *Cybersecurity*: Stay updated on cybersecurity threats and learn about measures to protect data and prevent breaches. 5. *Data Analytics*: Develop skills in data analysis, visualization, and storytelling to make informed decisions.

### Staying Ahead by Learning Key Emerging Technologies as a Program Manager 1. **Stay Informed:** - Regularly read industry blogs, journals, and news related to emerging technologies. 2. **Network with Experts:** - Join professional groups and attend conferences to learn from industry leaders. 3. **Enroll in Courses:** - Take online courses and certifications in emerging technologies. 4. **Hands-On Practice:** - Experiment with new tools and technologies through small projects. 5. **Join Webinars and Workshops:** - Participate in webinars and workshops to gain practical insights. 6. **Collaborate with Tech Teams:** - Work closely with technology teams to understand and integrate new technologies into your projects.

Here are some key emerging technologies for program managers ¹: - Artificial Intelligence (AI): Improve issue resolution times, enhance marketing automation, develop software code, and more. - Internet of Things (IoT): Offer autonomous transportation options, monitor buildings and environments, improve fleet management, and enhance healthcare monitoring. - Machine Learning (ML): Classify documents and texts, manage data more efficiently, and detect fraud. - 5G Networks: Control machinery, robotics, and other devices remotely, access the internet securely, and manage inventory across industries. - Edge Computing: Reduce latency in IoT, connect medical devices, and optimize content delivery networks.

Harness AI to automate processes, optimize decision-making, and drive innovative solutions, enhancing program efficiency and effectiveness. Take the pilot use cases to understand the efficacy and A/B testing to understand the impact with or without.

Embrace Agile methodologies to improve flexibility, speed up project delivery, and better respond to changing market demands and client needs. For example adopt Agile project management techniques to swiftly develop and roll out new mobile banking features, improving user experience and staying competitive.

Agility to adapt to ever-changing demands/requirements is an essential key to success. Using Scrum or Kanban should depend on how the requirements are given.

Utilize data analytics to gain actionable insights, make informed decisions, and measure program performance for continuous improvement. For example use data analytics to identify fraudulent transactions in real-time, reducing the risk of financial loss and protecting customers' accounts

Can strengthen cybersecurity measures by employing advanced encryption and multi-factor authentication, safeguarding sensitive customer information.

Don't just learn; apply your newfound knowledge! Explore pilot projects or small-scale implementations to test the potential of these technologies within your programs.

I have always been a fan of "POC" i.e. building a tiny proof-of-concept application. Have a playbox or sandbox system to try out new things/tools/alternates. Use this "experience" to build your application.