Generative AI has seen a surge in adoption, with more than $300 billion in worldwide spending forecast to be invested in it in 2026. By using foundational models such as GPT-3, BERT, or DALL-E 2, open-source user-centric tools are being developed to provide enthusiastic customers with the abilities to make music videos, children’s books and optimize creative workflows efficiently.
Because the current one-size-fits-all approach to generative AI is prone to factual errors and bias, customization is essential in order to achieve unique and impactful outputs while avoiding any erroneous technical designs or outcomes. Move forward with tools that allow users to personalize their AI experience based on what best suits their specific needs. By designating a strategy that combines foundational models, open-source use cases and individual-level optimization, businesses can revolutionize customizations and empower users.
Companies such as Snapchat, Notion and Meta have already implemented generative AI capabilities into their products to provide a better service that resonates with their users. Last year, Google had injected AI into search, Gmail and Docs. While in 2021, Microsoft integrated the same tech into Bing, Edge and Skype. There is no doubt that with this ongoing rate of innovation, by 2023, what we know about generative AI today is likely to change drastically.
On July 11-12, top executives from around the world are gathering in San Francisco to hear about how AI investments can be optimally integrated to yield success. The event seeks to present the next wave of innovation coming from generative AI, with the potential to revolutionize the education process, modernize the creative process, and maximize productivity.
The advancements brought on by generative AI have unlocked a world of potential. For those eager to further explore its capabilities, join top executives in San Francisco on July 11-12 to learn more about how businesses can reinvent their AI strategy and how to empower user gratification through customer-grade AI.
