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These are the two technologies that are changing how humans work and interact with computers and create content. Understanding what they are is key to understanding the impact they might have on your future career, since you may well be expected to use and interact with these technologies once you enter the workplace. According to World Economic Forum research, while AI could displace jobs it could potentially create up to 97 million jobs in fields ranging from big data and information security to digital marketing. As AI becomes more integrated into business practices there will also be a much higher demand for AI support roles, according to a McKinsey Report. In 2022, 39% of businesses reported hiring software engineers, and 35% hired data engineers for AI-related positions. It's clear that the use of AI in job roles could become the norm, therefore an understanding of how these technologies work will become a necessity.
Data science central have put together this useful guide for understanding the differences between conversational AI and generative AI. Key points are below, but to read the full article follow this link - A complete guide: Conversational AI vs. generative AI
User experience & human interaction
Conversational AI believes in meaningful conversations. Thus, provides quick, direct, crisp, and relevant answers. Generative AI does not engage directly but contributes to user experience by coming up with useful content like blogs, music, and visual art.
What does the future hold?
The trend we observe for conversational AI is more natural and context-aware interactions with emotional connections. Generative AI’s future is dependent on generating various forms of content like scripts to digitally advance context.
Use cases:
• Conversational AI is used in industries like healthcare, finance, and e-commerce where personalized assistance is provided to customers.
• Generative AI is mostly applied to creative domains like content creation, entertainment, design, etc.
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