Regardless of the role or industry you’re in, you’re probably aware that most jobs now require a certain level of technical expertise, without which your chances of getting hired may suffer.
This demand for technical skills is only going to shoot up in the future. Plus, being informed of all the technologies that are set to make an impact across multiple jobs can help you navigate and land roles easily.
On that note, I’m going to share a list of the major technologies that are and will continue to transform employer demands and workplace settings, as well as some online platforms you can use to develop skills in them.
Just a heads up, you might want to make sure you have a fast and reliable internet connection for a smooth online learning experience. If you’re looking for the right internet setup, reaching out to the Spectrum customer service number can help you sign up for a suitable plan.
Now, let’s dive in to explore these three workplace-transforming technologies:
Artificial Intelligence
There’s a high chance you already know what this is, but in the rare case that you don’t, let me bring you up to speed. Artificial intelligence (AI) is a technology that allows computer systems to perform human-oriented tasks such as content generation, data analysis, problem solving, and decision making.
There are various forms of AI, with some of the most notable ones being:
- Generative AI: a type of AI that can generate content such as text, images, audio, and video.
- Agentic AI: AI systems that can accomplish specific high-level goals with minimal human supervision.
- Machine Learning (ML) and Deep Learning (DL): AI subsets that allow systems to accurately analyze data, extract relevant information, and make predictions or decisions. The difference between the two is that deep learning uses neural networks to analyze complex data and requires massive datasets for accuracy.
Companies across various industries are experimenting with how AI can unlock workplace efficiency, productivity, and automation for different business functions. In fact, according to a report by WEF, 86% of employers believe generative AI will entirely transform their organizations by 2030. Some areas of focus for the technology to optimize processes and reduce costs include customer service, maintenance scheduling, and fraud prevention.
If you’re looking to develop or brush up on your skills in AI, I’d recommend Coursera. The platform partners with tech giants like Google, DeepLearning.ai & IBM to create high-quality professional courses & certifications. If you’re a beginner, some courses you might want to consider include Introduction to AI (Google), Introduction to Generative AI (IBM), and AI for Everyone (DeepLearning.ai).
Energy Technology
As resources become scarce, climate changes rapidly, and consumers become more environmentally conscious, the pressure falls on businesses to optimize and adapt their strategies with a focus on sustainability. This pressure creates a booming demand for energy technology solutions and experts.
Energy technology is the use of tools, techniques, and technologies to generate, store, convert, and distribute energy efficiently, safely, and sustainably. Like AI, this branch of tech is also set to revolutionize workplace practices, with 41% of employers indicating a complete transformation by 2030, according to a WEF report.
The demand for energy technology-relevant skills in the workforce is expected to create a 7-million-person skill gap by 2030, so now’s a great time to start learning if you don’t want to be one of them.
The technical skills you might want to focus on for a role in energy tech include:
- Data Analysis and Visualization: Energy projects generate massive datasets. You need to be able to analyze and present this information for data-backed decisions and predictions.
- Cybersecurity: As energy systems use digital support, the threat of cyberattacks grows. You need to be able to implement solid security measures to keep systems and data safe.
- Automation and Control Systems: Automating processes among tasks such as drilling and renewable planting can help businesses reduce repetitive tasks and costs while boosting efficiency.
- Cloud and IoT Integration: The Internet of Things (IoT) and cloud platforms can automate business processes and keep data secure. Being able to work with them is becoming a job requirement.
- AI and ML: As I said, AI is everywhere. AI and machine learning can help optimize energy usage,forecast demand, and improve predictive maintenance. Understanding them can help you land roles in the oil, gas, and renewable industries.
To build upon these skills, you can visit Coursera, with detailed courses on AI &ML, IoT, and cloud integration. Additionally, Udemy also has a range of useful courses, such as Introduction to Software for Renewable Energy. Finally, cybersecurity and IoT courses by the SANS Institute and Tonex Training might also be worth looking into as they offer hands-on labs, industry-specific training, and professional certifications.
Networks and Sensory Technologies
To develop and unlock the complete effectiveness of energy-related technologies or AI and ML, a network integrated with a range of sensory technologies (also known as IoT) can work wonders. Both these technologies can ensure an interconnected, data-driven, and automated business environment.
Creating such an environment can help businesses shift from reactive to proactive strategies, ultimately driving down costs, improving efficiency, and enabling new, innovative business models.
This field of tech requires you to develop the following skills:
- Data Analytics and Science: IoT systems also generate massive amounts of data. You need to be able to analyze it and extract relevant information to create actionable strategies.
- AI and ML Integration: As mentioned earlier, AI and ML can help with threat detection, predictive measures, and automate actions. You need to ensure you can build, deploy, and integrate such models.
- Cybersecurity: You need to ensure the security and integrity of the entire network, all the way from sensors to cloud storage, with proactive measures against physical and digital threats.
- Sensor and IoT Infrastructure Management: To connect physical objects such as sensors to a digital network, you need to be adept at hardware and communication protocols such as 5G and 6G.
- Cloud Computing and Storage: You need to be able to manage cloud platforms and ensure seamless coordination, scalability, and data processing.
To develop these skills, you can find a range of learning materials on both Coursera and Udemy, with detailed courses such as Introduction to Computer Networks (Udemy) and Network Fundamentals (Coursera). Both platforms partner with from well reputed institutions such as CompTIA Network+ and Cisco Certified Network Associate (CCNA) to provide certifications that can help you land a role in this field.
Time to Put the Words into Action
There you have it, my fellow techies (or not). I’ve given you a detailed overview of the three major skills that may define employer demands in the near future. Time to put the words into action and start learning.
With platforms like Udemy, Coursera, and more, learning now will give you an edge in what is going to evolve into a very competitive job market.
