Welcome to part 4 of my AI and GeoAI Series that will cover the more technical aspects of GeoAI and ArcGIS. Previously, part 1 of this series covered the Future Impacts of AI on Mapping and Modernization which introduced the concept of GeoAI and why you should care about having an AI as a future coworker. Part 2 of the series, GIS, Artificial Intelligence, and Automation in the Workplace covered specific geospatial professions that will be drastically effected by introduction of GeoAI technology in the workplace. Part 3 addressed Teaming with the Machine - AI in the workplace the emergence of the new geospatial working relationship between information, humans, and artificial intelligence to be successful in an organizations mission. For part 4, we will address 3 specific GeoAI areas in ArcGIS that will help you with your journey to developing your Deep Learning workflows.

The world of work is changing as technology advances, and the skills needed for future jobs are evolving. As many as 375 million workers--or roughly 14 percent of the global workforce--may need to switch jobs as digitization, automation, and advances in artificial intelligence disrupt the world of work by 2030, according to a recent McKinsey Global Institute report. Some jobs of the future are changing faster than others. New jobs will be created that haven't even been imagined yet. A Korn Ferry study of 55,000 professionals worldwide found that the skills which come naturally to most women, such as creativity and problem-solving, may give them a critical advantage over their male counterparts.

Both HR leaders and employees expect more artificial intelligence will come into the workplace. A new AI-at-work study conducted by Oracle and Future Workplace surveyed 1,320 U.S. HR leaders and employees and found that people are ready to embrace AI at work, but feel organizations are not doing enough to help their employees take advantage of AI. If AI is coming and companies are not helping employees cope, then the burden is on you to build your career to survive and thrive in the AI workplace. If you believe that AI will automate many jobs away, then you need to strengthen your unique skills and expertise to better compete in the AI job market. I covered three strategies for career-building in a future without jobs in an earlier post. If you're gainfully employed and want to maximize the AI trends that are coming to your employer, here are five career survival tips for building on the trends identified in the Oracle and Future Workplace study: If AI truly arrives, you may be managed by a robot!

Both HR leaders and employees expect more artificial intelligence will come into the workplace. A new AI-at-work study conducted by Oracle and Future Workplace surveyed 1,320 U.S. HR leaders and employees and found that people are ready to embrace AI at work, but feel organizations are not doing enough to help their employees take advantage of AI. If AI is coming and companies are not helping employees cope, then the burden is on you to build your career to survive and thrive in the AI workplace. If you believe that AI will automate many jobs away, then you need to strengthen your unique skills and expertise to better compete in the AI job market. I covered three strategies for career-building in a future without jobs in an earlier post.