Ankit Srivastava – författare

A hands-on framework that combines Lean, DataOps, MLOps, and cross functional delivery to ship AI from prototype to production with speed.

 

AI projects fail more often, not because the math is hard, but because delivery is. The Lean AI Handbook shows leaders, analysts, and AI builders how to build, deploy, and scale AI that delivers real business value, quickly and reliably using Lean and Agile practices. You'll learn how to streamline the path to production with Product Management, DataOps and MLOps work in small batches, focus on the right metrics, and ship models, agents, and insights that keep delivering after launch.

As AI investment grows, many programs still stall at pilot purgatory. The Lean AI Handbook offers a practical People-Process-Tools guide for putting AI into everyday products. Combining Lean and Agile with DataOps and MLOps, it shows you how to remove bottlenecks, build simpler and faster models, and use automation, observability, and feedback loops to scale with confidence. It also covers the last mile, communicating insights clearly, building stakeholder trust, reducing delivery risk, and leading teams that grow with the business.

 

Key Benefits & Topics Covered:

Overcome the AI delivery bottleneck: Identify the reasons for delayed delivery and necessary changes to increase speed.

Apply Lean thinking and Agile building and shipping AI: Work in small batches, learn fast, keep effort aligned with measurable business outcomes.

Use DataOps as the backbone of Lean AI: Automate pipelines, make data reliable, and deliver AI at scale with modern continuous delivery focused engineering practices.

Master the last mile from modeling to production: Get your models out of prototype theater and deployed to production where they drive real business decisions and customer value.

Lead high-performing AI engineering teams: Scale teams effectively by structuring roles, workflows, and expectations to deliver continuous value to people, processes, and technology.

Ship and monitor models that stay reliable: Use MLOps, observability, and model monitoring to deploy AI safely, catch drift, and minimize blast radius before it erodes customer confidence and damages company brand.

This book brings together studies in forensics, law and criminology, which are all equally essential for a fair criminal justice system. It gives a comprehensive view to a wide variety of readers from the three communities across the globe to connect the dots which link all these three subjects, thus catalyzing interdisciplinary collaborations. The book explores the topics through four themes -- exploring forensic science in the 21st century; looking at law and criminal justice in the new millennium; contemporary trends in criminology; and, medico-legal aspects of human identification.The readers who will find important learnings in the book include scientists, legal and law enforcement practitioners, academicians and students to create a holistic environment for cumulative and collaborative approach towards the criminal justice system.

This textbook provides essential and fundamental information to modern forensics investigations. It discusses criminalistics and crime scene aspects, including investigation, management, collecting and packaging various types of physical evidence, forwarding, and chain of custody. It presents fundamental principles, ethics, challenges and criticism of forensic sciences and reviews the crime typologies, the correlates of crime, criminology, penology, and victimology. It provides a viewpoint on legal aspects, including types of evidence, the procedure in the court and scrutiny of the evidence and experts. The book summarizes forensic serological evidences such as blood, semen, saliva, milk-tears, sweat, vaginal fluids, urine, and sweat. It also provides an overview of forensic examination of different types of evidence and also includes comprehensive detailing of forensic ballistics including firearm classification, bullet comparison and matching. Further, it explores the examinations of drugs, chemicals, explosives, and petroleum products. It focuses on the various aspects of forensic toxicology, including the study of various poisons/toxins, associated signs and symptoms, a fatal dose /fatal period of poisons. The book also emphasizes digital and cyber forensics, including classification, data recovery tools, encryption and decryption methods, image, and video forensics.It is a useful resource for graduate and post-graduate students in the field of Forensic Science.

This textbook provides essential and fundamental information to modern forensics investigations. It discusses criminalistics and crime scene aspects, including investigation, management, collecting and packaging various types of physical evidence, forwarding, and chain of custody. It presents fundamental principles, ethics, challenges and criticism of forensic sciences and reviews the crime typologies, the correlates of crime, criminology, penology, and victimology. It provides a viewpoint on legal aspects, including types of evidence, the procedure in the court and scrutiny of the evidence and experts.

The book summarizes forensic serological evidences such as blood, semen, saliva, milk-tears, sweat, vaginal fluids, urine, and sweat. It also provides an overview of forensic examination of different types of evidence and also includes comprehensive detailing of forensic ballistics including firearm classification, bullet comparison and matching. Further, it explores the examinations of drugs, chemicals, explosives, and petroleum products. It focuses on the various aspects of forensic toxicology, including the study of various poisons/toxins, associated signs and symptoms, a fatal dose /fatal period of poisons.

The book also emphasizes digital and cyber forensics, including classification, data recovery tools, encryption and decryption methods, image, and video forensics.

It is a useful resource for graduate and post-graduate students in the field of Forensic Science.