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Navigating software engineering and data quality with Generative AI
Thursday, 9 October 2025 12:00 p.m. ET

Virtual - Event

Event language: English

9 Oct. 2025

Thursday, 12:00 p.m. ET | 1 Hr.

Navigating software engineering and data quality with Generative AI

As Generative AI (GenAI) accelerates software development, organizations face a critical question: How can they embed GenAI into application development and data pipelines without compromising on software quality, data integrity, or trust?

Join us for a LinkedIn Live session exploring key insights from Deloitte’s latest research on engineering in the age of GenAI. This discussion brings together insights from over 40 interviews with industry leaders and data from Deloitte’s State of Generative AI surveys. You’ll hear from Deloitte experts and tech leaders on how to navigate this shift while keeping quality and trust at the forefront. Topics include:

  • How product and engineering teams use GenAI to enhance code quality, testing, and design—and the trade-offs to watch.
  • Why C-suite collaboration (CPOs, CTOs, CIOs, CDOs) is essential to integrating GenAI into the SDLC.
  • New frameworks for prompt engineering, code reviews, and DevSecOps in a GenAI environment.
  • Pressing data integrity and model quality challenges—from hallucinations to RAG complexity—and strategies to overcome them.
  • The evolving role of data architecture in supporting GenAI use cases across real-world applications.

Don’t miss this chance to connect with peers and gain actionable insights. Watch Deloitte’s AI & Engineering LinkedIn Live: Register now.

Get in touch

Diana Kearns-Manolatos

Diana Kearns-Manolatos

Deloitte - United States
Diana Kearns-Manolatos is a senior manager with Deloitte Services LP’s Center for Integrated Research, where she leads Deloitte’s global research on digital transformation. She is based out of New York, United States.
Parth Patwari

Parth Patwari

Deloitte - United States
Parth leads Deloitte’s AI & Data practice for the US. He works with US and global banks to solve technology, operations, and strategy challenges. He has extensive experience working with capital markets and payment institutions to architect, design, and implement large-scale systems – supporting mission critical customer, finance, risk, regulatory, and compliance functions. He drives efficiency agendas using AI, analytics, and data management capabilities.
Prakul Sharma

Prakul Sharma

Deloitte - United States
Prakul Sharma is a distinguished leader in Deloitte Consulting LLP's AI and engineering practice, with over 18 years of expertise in delivering and managing cutting-edge artificial intelligence, cloud, data engineering, and data operations solutions. He oversees sustainable AI/machine learning initiatives, leveraging AI's transformative power to revolutionize business operations. His leadership is marked by scaling AI solutions and deploying intelligent AI agents & Gen AI capabilities, enhancing decision-making and operational efficiency.

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