Top AI Jobs Are CRM-Related

With a growing focus on the responsible advancement of artificial intelligence, mastering it will be a critical tech skill for professionals to hone right now to remain relevant and competitive, research from staffing firm InclusionCloud found recently.

The following are the top 10 tech skills in demand for 2024, according to InclusionCloud:

1. Generative AI: AI is reshaping the fabric of daily tasks through automation, with deep learning models and platforms becoming crucial skills for developers to know and understand.
2. Human-AI interaction (emotional AI): Creating emotionally intelligent user experiences is the next frontier in customer satisfaction, demanding proficiency in emotional recognition technologies from those creating these technologies.
3. ERP and CRM specialization: The backbone of business operations, expertise in ERP and CRM, particularly in platforms like ServiceNow, Oracle, and Salesforce, is now more relevant than ever.
4. Sustainable Technology: Sustainability is a growing concern, and understanding energy-efficient coding and green tech applications is becoming a valuable asset.
5. Digital twins: Simulating physical systems digitally is key for operational efficiency, putting IoT platforms and real-time data analytics skills in high demand.
6. Quantum computing: Quantum computing is breaking barriers in problem solving, requiring knowledge in quantum algorithms and languages like Q#.
7. Digital engineering: Digital manufacturing and 3-D design tools are revolutionizing product creation, production, and usage.
8. Deepfake prevention: As AI-generated content becomes more prevalent, mastering deepfake detection tools is essential for security.
9. Customer-centric privacy: Tailoring customer experiences with a strong emphasis on privacy is becoming essential, requiring developers to navigate the nuances of the European Union’s General Data Protection Regulation and privacy and data protection laws enacted in several U.S. states.
10. Ethical AI governance: The advancement of AI and large language models necessitates ethical use and puts governance into sharp focus, placing a premium on skills related to AI ethics and model monitoring.