The realm of artificial intelligence is witnessing a significant transformation with the advent of Generative AI (GenAI). This emerging technology is reshaping the landscape of Conversational AI, offering unprecedented opportunities for innovation and advancement in various domains. In this blog, we delve into the world of GenAI and its combinatorial impact on Conversational AI solutions, exploring the potential and challenges it brings to the forefront.
Generative AI refers to technologies that can generate new content, designs, and strategies by learning from large repositories of original source content. It includes the generation of text, images, videos, audio, synthetic data, and even software code. This capability has profound impacts on various aspects of business, including content discovery, creation, authenticity, and regulation; automation of human work; and enhancing customer and employee experiences.
GenAI is not just an isolated technology; it represents a shift towards combinatorial AI innovation. This approach combines multiple emerging AI technologies and trends, such as foundation models, prompt engineering, and responsible AI, to unlock new values and capabilities. The result is an expanding intelligence level of Conversational AI solutions, which can be differentiated based on their GenAI-enabled capabilities.
As per Gartner recommendations, software product leaders evaluating the impact of emerging technologies and trends on products and services should:
By 2025, AI avatars leveraging text to video using GenAI technology will support 70% of digital and marketing communications, up from less than 1% in 2022.
By 2026, 50% of conversational AI software will include proactive intelligence capabilities, up from less than 5% in 2023.
By 2026, 50% of all sales and marketing software providers will incorporate advanced VAs as their front-end user interface, up from less than 2% in 2023.
While GenAI presents significant opportunities, it also poses challenges:
GenAI is enabling human augmentation across various domains, providing new opportunities for AI avatars in digital workplaces and VAs in diverse industries. This advancement is leading to the generation of new business values, such as revenue growth and increasing prospect conversion rates.
The integration of GenAI into Conversational AI is more than just a technological upgrade; it represents a paradigm shift in how businesses interact with their customers and how software assists in decision-making processes. In the coming years, we will witness more natural and ethical interactions between humans and software, enabled by the advancements in GenAI.
As we embark on this journey, businesses and product leaders must remain agile, adapt to the evolving landscape, and harness the potential of GenAI to stay competitive and deliver exceptional customer experiences.
Gartner, Use Generative AI to Transform Conversational AI Solutions, Annette Jump, 24 July 2023
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