Operationalizing AI Panel Discussion - Computer Measurement Group
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Operationalizing AI Panel Discussion

Operationalizing AI involves the practical implementation of AI technologies in real-world business operations. This panel will explore the challenges and opportunities of operationalizing AI, including issues related to data quality, model accuracy, and ethical considerations. The panelists will share their experiences and perspectives on successfully integrating AI into various business processes, including marketing, finance, and customer service. They will discuss the importance of collaboration between technical and non-technical stakeholders in operationalizing AI, and offer insights into best practices for ensuring the successful deployment and ongoing management of AI technologies. The panel will provide valuable insights for business leaders, data scientists, and other professionals looking to leverage AI to drive operational efficiency and improve business outcomes.


Pallavi Kalapatapu (Principal Engineer, Cisco) is a Principal Engineer in the Emerging Technologies and Incubations group at Cisco, where she takes ideas from incubation to the go-to-market phase as an intrapreneur. Her passion lies in building disruptive technologies and being a part of the teams that make them happen. Throughout her career at Cisco, she has led many founding teams and ventures, including enterprise Blockchain, cloud calling, and Telepresence. Prior to joining the Emerging Technologies group, Pallavi was a valuable member of the Cisco WebEx collaboration team for several years. Her interest in personal growth and development led her to explore how the technical knowledge gained from a day job can be applied to mindset, which she shares through her blog with the hashtag #TechGrowthMindSet.

Maitreyi Chitale (MathWorks) is a Machine Learning Research Engineer with MathWorks. Prior to her time at the company, she was a graduate teaching assistant at

Emily Arnott (Content Marketing Manager, Blameless) is passionate about leading the charge into a new era of reliability, where the socio-technical resilience of teams is given the spotlight. She aspires to be a thought leader in a new wave of best practices to get your services available and your teams happy. In her free time, she enjoys singing classical music and reading manga. Emily has spoken at Chaos Carnival, Conf42, SREcon, and other reliability-focused conferences.

Anoush Najarian ( works at MathWorks as a performance engineer. Her job is to make MATLAB go fast. Among her many other interests (robotics, maker culture, Internet of Things, educational software, just to name a few) she likes to tell the stories of the many fascinating and talented women engineers and scientists who use MathWorks products.

ChatGPT is a a large language model trained by OpenAI, based on the GPT-3.5 architecture. It was designed to generate human-like responses to natural language queries and tasks, such as answering questions, providing information, and generating text. It was trained on a vast corpus of text data and can understand and generate text in multiple languages. It is capable of performing a wide range of tasks, including language translation, text summarization, sentiment analysis, and much more.

Moderator: Sindhuja Parimalarangan (Senior Performance Engineer, MATLAB Performance team, MathWorks) works diligently analyzing the performance of products, benchmarking them with other industry standard tools and communicating the state of performance internally and externally. Additionally, Sindhuja serves on the Board of Directors at CMG, currently as Vice Chair. Sindhuja is passionate about volunteering in tutoring and mentorship programs including Cristo Rey Corporate Work Study Program and Potter Road Elementary School Math Tutors.


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