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The Technical Program Manager's Guide to Practical AI. Workflows and Frameworks for Smarter, Faster, Higher-Impact TPM Execution Liana Gevorgyan, Joshua Alan Teter, James Dayhuff, Malvika Sinha, Aadil Maan, Michael Götz

Książka w języku angielskim angielski
The Technical Program Manager's Guide to Practical AI. Workflows and Frameworks for Smarter, Faster, Higher-Impact TPM Execution Liana Gevorgyan, Joshua Alan Teter, James Dayhuff, Malvika Sinha, Aadil Maan, Michael Götz - okladka książki

The Technical Program Manager's Guide to Practical AI. Workflows and Frameworks for Smarter, Faster, Higher-Impact TPM Execution Liana Gevorgyan, Joshua Alan Teter, James Dayhuff, Malvika Sinha, Aadil Maan, Michael Götz - okladka książki

The Technical Program Manager's Guide to Practical AI. Workflows and Frameworks for Smarter, Faster, Higher-Impact TPM Execution Liana Gevorgyan, Joshua Alan Teter, James Dayhuff, Malvika Sinha, Aadil Maan, Michael Götz - audiobook MP3

The Technical Program Manager's Guide to Practical AI. Workflows and Frameworks for Smarter, Faster, Higher-Impact TPM Execution Liana Gevorgyan, Joshua Alan Teter, James Dayhuff, Malvika Sinha, Aadil Maan, Michael Götz - audiobook CD

Autorzy:
Liana Gevorgyan, Joshua Alan Teter, James Dayhuff, Malvika Sinha, Aadil Maan, Michael Götz
Wydawnictwo:
Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
350
Dostępne formaty:
     PDF
     ePub

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Do przechowalni

Technical Program Managers operate in increasingly complex environments where scale, speed, and cross-functional coordination often exceed human capacity. AI is rapidly transforming how this work gets done, and TPMs need practical ways to apply it in their day-to-day workflows.

This book shows you how to use AI across the TPM lifecycle to reduce operational overhead, accelerate decision-making, and increase strategic impact. Each chapter combines hands-on practical AI use cases, frameworks (inputs → AI assist → human verification → output), and practical guidance tailored to TPM workflows, helping you navigate tools, understand trade-offs, and apply AI effectively and responsibly. You’ll learn how to apply AI for planning, technical reviews, dependency management, risk analysis, status reporting, stakeholder communication, workflow automation, portfolio health reporting, hiring, talent growth, and career management. The book also covers prompt engineering, AI agents, governance considerations, and how to evaluate AI tools effectively in enterprise environments.

O autorach książki

Liana Gevorgyan is a TPM leader with over 20 years of experience driving complex machine learning, data science, infrastructure and platform programs at companies such as Block (Square, Cash App), Meta (Instagram), Oura, and McKinsey. She began her career as a software engineer focused on big data and algorithm optimization in Armenia, building a strong foundation in scalable systems. As a TPM leader, she has built and led TPM teams, fostered TPM communities, and delivered mission-critical AI platform initiatives, impacting billions of users. She is passionate about advancing AI-native technical leadership and helping organizations operationalize innovation at scale. She is also a board chair of the Feminno Global nonprofit organization, a coach at Aced (Exponent), and an exhibiting painter based in NYC.
Joshua began his journey in Project Management as a Technical Lead at Hewlett Packard in 2012 by learning the basics of managing a project and working with stakeholders.
In July of 2013, he made the career switch to pursue Technical Program Management at Amazon. During that time, He advanced in his career twice from TPM to Sr. TPM in 2017, and then to Principal TPM in 2022.
James Dayhuff is a seasoned tech professional with a career spanning product management, engineering, and technical program management. With a master's degree in Information Systems Management, he started his career building software, then led cross-functional teams to solve infrastructure problems, and now focuses on enabling product growth through compliance and security strategy. Through these experiences, he knows what it takes to connect strategy to execution to outcomes. His approach combines technical credibility with strategic product thinking. He can dive into architecture decisions while staying focused on customer problems and business impact. He's led teams through multi-million-dollar initiatives, drastically improved regulatory compliance posture, and opened new revenue opportunities. His consistent theme: bridging the gap between establishing the why behind what we build and how we actually ship it.
Malvika Sinha is a technology and AI leader with 14+ years of experience driving end-to-end programs across healthcare and digital pharmacy at Walmart, payments at Stripe, middleware at Intel, gaming at Electronic Arts, and now AI transformation at Google as an AI Solutions Consultant, with a growing focus on Responsible AI. She began her career as a systems engineer and automation expert and has remained deeply involved in the product development lifecycle, combining technical depth with strong execution. Passionate about AI, particularly agentic AI and Responsible AI, she is dedicated to ensuring artificial intelligence is developed and deployed safely, ethically, and responsibly so that the coming era of AI serves to uplift humanity. She is continually excited by how the field is transforming the way products are built, teams operate, and businesses scale through intelligent automation.
Aadil Maan is a Technical Program Manager with 16+ years of experience leading complex, zero-to-one hardware and software programs across mobile, IoT, and desktop platforms. He has worked at BlackBerry, Apple, Google, and Nike, led Software Program Management at Humane, and now drives Airbnb's first major push into AI products. Aadil believes great TPMs are systems thinkers who blend technology with psychology, philosophy, and design. He writes The Art of Doing Technical Program Management on Substack, sharing practical insights for product, engineering, and TPM leaders.

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