Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bridge the gap between data science and Lean product delivery in a practical and simple way. David Tan, Ada Leung, and Dave Colls show you how to apply time-tested software engineering skills and Lean product delivery practices to reduce toil and waste, shorten feedback loops, and improve you...

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how to bridge the gap between data science and Lean product delivery in a practical and simple way. David Tan, Ada Leung, and Dave Colls show you how to apply time-tested software engineering skills and Lean product delivery practices to reduce toil and waste, shorten feedback loops, and improve you...

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.Author Chip Huyen, co-founder of Claypot AI, considers each ...

There’s a lot of waste in tech. Billions of dollars of it. Software gets written and digital products designed and shipped that no one wants. Some say it’s “just a part of doing the business of innovation” in hot new markets.But waste is not inevitable anymore.Hypothesis Driven Development (HDD) is an emerging approach to digital product management for both business people and engineers. It emphasizes rigorous, continuous experimentation as a way to both m...

Many engineers assume their organization doesn't have an engineering strategy—when in fact, they often do. It just may not be working. In Crafting Engineering Strategy, Will Larson (author of An Elegant Puzzle, Staff Engineer, and The Engineering Executive's Primer) offers a practical, example-rich guide to navigating technical and organizational complexity through structured, intentional strategy.Written for senior engineers, engineering leaders...

Update Your Architectural Practices for New Challenges, Environments, and Stakeholder Expectations"I am continuously delighted and inspired by the work of these authors. Their first book laid the groundwork for understanding how to evolve the architecture of a software-intensive system, and this latest one builds on it in some wonderfully actionable ways."--Grady Booch, Chief Scientist for Software Engineering, IBM Research

Transform GenAI experiments into production-ready intelligent agents with scalable AI systems, architectural patterns, frameworks, and responsible AI and governance best practices Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\* Key FeaturesBuild robust single and multi-agent GenAI systems for enterprise useUnderstand the GenAI and Agentic AI maturity model and enterprise adoption roadmapUse prompt engineering and...

Explore modern data engineering techniques and best practices to build scalable, efficient, and future-proof data processing systems across cloud platformsKey FeaturesArchitect and engineer optimized data solutions in the cloud with best practices for performance and cost-effectivenessExplore design patterns and use cases to balance roles, technology choices, and processes for a future-proof designLearn from experts to avoid common pitfalls in ...

Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run and establish ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in production to how to run a well-tuned model development team in a product organization.By applying an SRE mindset to machine lear...

Learn everything you need to know to manage data as a product and shift toward a more modular and decentralized socio-technical data architecture to deliver business value in an incremental, measurable, and sustainable way Free with your book: DRM-free PDF version + access to Packt's next-gen Reader\*Key FeaturesLeverage data-as-product to unlock the modular platform potential and fix flaws in traditional monolithic architecturesLearn how to identify, i...

All cloud architects need to know how to build data platforms that enable businesses to make data-driven decisions and deliver enterprise-wide intelligence in a fast and efficient way. This handbook shows you how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Cloud, and multicloud tools like Snowflake and Databricks.Authors Marco Tranquillin, Valliappa Lakshmanan, and Firat Tekiner cover the entire data lifecycle from inges...

Gain insight and strategic advice for driving value in your organization with this practical guide that condenses a decade of ServiceNow wisdom into the must-know essentials for impactful deploymentsKey FeaturesFocus on what to do when shaping and leading a ServiceNow journeyExplore strategies for making your projects impactful and valuableGuidance for leaders at every level to maximize return on their investments in ServiceNowBoo...