Maryam Ashoori, Director of Product Management for IBM's watsonx.ai, dives into the transformative role of AI in business. She discusses how Granite technology enhances transparency and efficiency, particularly in customer care. The shift towards smaller, customized AI models tailored to specific business needs is highlighted, along with the importance of regulatory compliance. Ashoori emphasizes the need for openness and collaboration in AI development, showcasing initiatives like Instruct Lab that let enterprises leverage proprietary data for tailored solutions.
Granite enhances transparency and efficiency in AI by offering customizable models that allow businesses to leverage proprietary data.
The shift towards open technology in AI fosters collaboration and innovation, enabling companies to adapt solutions that meet specific industry needs.
Deep dives
Transforming Enterprise AI with Granite
Granite is a robust platform designed to enhance transparency and efficiency in artificial intelligence by providing tailored models for enterprises. These models address specific use cases such as customer care, allowing for quicker and more accurate responses based on internal company data. The strategic shift from large general purpose models to smaller, customized models empowers businesses to leverage proprietary data while significantly reducing costs and energy consumption. This transformation is critical as enterprises increasingly move from experimentation to production, facing challenges related to latency and operational costs.
The Role of Foundation Models
Foundation models serve as the backbone for specific applications in AI, extending beyond large language models to encompass areas such as code generation and geospatial data. While foundation models provide a versatile framework, they also introduce transparency challenges, particularly concerning how these models are trained and the sources of their data. Businesses operating in regulated industries need to navigate these risks carefully to ensure compliance and reliability. By using Granite, enterprises can benefit from a structured governance framework that enhances model trustworthiness and accountability.
Openness as a Driving Force in AI
Openness in AI significantly influences market adoption and innovation across various sectors, emphasizing the importance of collaboration and accessibility in the development process. The Granite platform exemplifies this approach by integrating both IBM-developed and third-party models, offering enterprises the flexibility to customize solutions based on their needs. Furthermore, through initiatives like Instruct Lab, organizations can collectively enhance base models, fostering a culture of shared improvement and adaptability. This focus on openness not only accelerates technological advancement but also ensures that AI tools are aligned with real-world business applications.
As the scale of artificial intelligence continues to evolve, open technology like many of IBM’s Granite models are helping enhance transparency in AI and improve efficiency across businesses. In this episode of Smart Talks with IBM, Jacob Goldstein sat down with Maryam Ashoori, the Director of Product Management and Head of Product for IBM’s watsonx.ai, where she spearheads the product strategy and delivery of IBM’s watsonx Foundation Models. Together, they explored the shift from large general-purpose AI models to smaller, customizable models tailored to specific needs.
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