Delivering Applied AI Outcomes into Production Systems


Delivering Applied AI outcomes into production systems is pivotal for businesses aiming to stay ahead in today's competitive landscape. This session will delve into the transformative power of Applied AI, focusing on solving real-world problems that matter to businesses. Participants will gain insights into identifying high-value opportunities and use cases for impactful AI applications. The presentation will emphasize a unique approach that starts with a thorough analysis of the desired business outcomes, ensuring their successful delivery into production environments. This method ensures alignment with both internal and external teams, as well as platform vendors, to collaboratively achieve the desired results. The session will also highlight the importance of Declarative AI models, which offer a rapid composition of Applied AI applications, reducing time-to-market and emphasizing the crucial last mile of application delivery. Join us to learn about harnessing AI's potential in real-world applied environments, focusing on tangible value and outcome-driven solutions.

Tools: Llama2, Langchain, Python, Streamlit, and industry specific data

Background Knowledge:

Attendees who have some exposure to delivering or requiring AI outcomes in production. Intermediate IT and AI understanding alongside business transformation familiarity. Enterprise focused


Nick King is the Founder and CEO of Data Kinetic, a platform agnostic industry-focused applied AI research, development, and advisory company. Nick has been working on enterprise technology platforms for the last 20 years. In his role at Data Kinetic, he has focused on driving the applied use of AI/ML with enterprise companies. Previous to Data Kinetic, Nick has worked across multiple startups and open source projects from Snowplow, to DataRobot. He has also held roles at Microsoft, Google, VMware, and Cisco focusing on applied technologies and platforms.

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