Alberto Rizzoli, CEO of V7, discusses challenges in integrating bespoke genAI models in enterprises. Topics include identifying suitable problems, AI capabilities in software and hardware, language models in copilots and data analysis, and the role of automation and human involvement in AI processing.
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Quick takeaways
Creating the appropriate data infrastructure is important for employees to contribute their knowledge to AI models and enable them to be used as a co-pilot for products and an internal resource for policies and advice.
AI should be applied to the biggest revenue-driving problems a business faces, assisting humans in tasks such as filling out complex forms or aiding surgeons during keyhole surgery, but these AI models need refinement to replace human functions.
Deep dives
Challenges of Integrating AI Models into Organizations
Integrating large language models and AI capabilities into organizations presents challenges. Finding the right problems to apply these models accurately is currently difficult. Creating the appropriate data infrastructure is important for employees to contribute their knowledge to these models. The goal is to have employees contribute to a knowledge bank that can be used as a co-pilot for products and as an internal resource for policies and advice.
Applying AI to Revenue-Driving Problems
The best way to apply AI models is to address revenue-driving problems. Whether in financial services or manufacturing, AI should be applied to the biggest, most revenue-driving problems a business faces. AI can be used to assist humans performing difficult tasks, from recommending how to fill out complex forms to aiding surgeons during keyhole surgery. These AI models need refinement to achieve high accuracy and replace human functions.
Integrating AI into Regular Software Development
AI capabilities, including large language models, should be seen as a layer of magic that can transform regular software development. AI can enable products to converse with users, suggest optimal usage, detect anomalies, interpret images, and perform actions like generating sales forecasts. Business leaders should consider how their products can be transformed with the help of AI, making it an integral part of software development across sectors.
Today’s guest is Alberto Rizzoli, Co-founder and CEO of V7. V7 is an AI-first software company that builds a high-quality image and video training platform for model and database management. Alberto joins us on the program to discuss what generative AI capabilities will mean across industries and the biggest challenges facing enterprise leaders trying to integrate bespoke genAI models into their organizations. Today’s episode is sponsored by V7. Learn how brands work with Emerj and other Emerj Media options at emerj.com/ad1.
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