Scaling and Integrating Generative AI Across Enterprise Systems
This practical guide is designed for enterprise leaders and technologists looking to design, deploy, and scale secure, production-ready Generative AI systems that deliver measurable business value. It offers Enterprise Integration Frameworks and prescriptive guidance to embed Generative AI seamlessly into existing systems empowering organizations to drive meaningful outcomes.
Readers will gain insights into architectural best practices, organizational transformation strategies, and responsible AI implementation frameworks that align with enterprise values.
The book also explores enterprise-grade security methods, specialized applications like ERP system integration (e.g., SAP), and the leading tools and platforms including Amazon Bedrock and SageMaker that enable scalable AI development. With real-world case studies and ROI analysis, this guide demonstrates how successful implementations are creating tangible business impact. Whether you're a technical architect shaping AI infrastructure or a business leader defining strategy, this book offers actionable guidance to help you scale AI responsibly one step at a time.
You Will:
- Learn best practices for building secure, scalable, and sustainable generative AI applications using modern MLOps and LLMOps frameworks.
- Understand how to identify, prioritise, and develop production ready generative AI use cases tailored to enterprise needs.
- Practise proven architectural design patterns and integration strategies for scaling Large Language Models (LLMs) and multimodal AI systems within existing enterprise ecosystems
This book is for : enterprise leaders, architects, and technology strategists
Saptarshi Banerjee : Saptarshi Banerjee serves as a Senior Partner Solutions Architect at AWS, collaborating closely with AWS Partners to design and architect mission-critical solutions. With a specialization in generative AI, AI/ML, serverless architecture, and cloud-based solutions. He completed his master's in computer science at Illinois Tech, Chicago, where his journey was marked by winning six major national hackathons. These achievements include first places at Hackillinois 2018 (University of Illinois at Urbana-Champaign), Cal Hacks 4.0 (University of California, Berkeley), MhacksX (University of Michigan Ann Arbor), Hackillinois 2017, Archhacks 2017 (Washington University in St. Louis), and Spartahacks (Michigan State University). He is a Senior Member of IEEE and a sought-after speaker at major technology conferences focused on AI and serverless computing. Jon Turdiev is a technology leader with over 20 years of experience in cybersecurity, IoT, and cloud computing. He holds an M.S. in Computer Science from San Francisco State University and founded Zehntec as CTO, architecting secure solutions across healthcare, industrial automation, and transportation globally. He is a senior solutions architect in AWS helping startups in the Gen AI space.
Jon has designed medical computing systems deployed in over 200 hospitals worldwide and authored multiple technical publications on cybersecurity and cloud architectures. His expertise focuses on creating secure, scalable technology infrastructures and advanced cybersecurity frameworks.Bidwan Baruah is a Senior Solutions Architect at Amazon Web Services (AWS), specializing in helping enterprise customers integrate SAP systems with generative AI technologies. He brings extensive expertise in cloud architecture and enterprise solutions, focusing on bridging traditional SAP environments with cutting-edge AI capabilities to drive digital transformation and business innovation.
Dr. Himadri Nath Saha is a distinguished academic, researcher, and scientist with more than 25 years of experience in teaching, research, and academic leadership. He has been recognized among the World’s Top 2% Scientists by Stanford University and Elsevier and has also been ranked among the Top 5% Scientists by SciRank Global. He has been invited as a Visiting Research Scientist at Technische Universität Ilmenau, Germany, and has served as a Faculty Member at Duale Hochschule Baden-Württemberg (DHBW), Heidenheim, Germany. Dr. Saha is a Fellow of the Institution of Electronics and Telecommunication Engineers (IETE) and the Institution of Engineers (India) (IEI), was conferred the IEM Fellow Professor title in 2019, and is a Senior Member of IEEE (USA). He has edited more than 30 conference proceedings published through reputed platforms including IEEE Xplore and Springer and has delivered more than 40 invited talks across India and over 20 international talks in countries including the USA, Canada, Germany, and others. He has authored and co-authored more than 150 research publications in international journals and conferences, receiving over 2,700 citations, with an H-index of 26 and an i10-index of 53. His ResearchGate profile reflects an Interest Score of approximately 2,000, placing him in the 97.5th percentile. He has also contributed to innovation and intellectual property through eight filed patents and two copyrights. His research interests encompass Artificial Intelligence, Machine Learning, Data Science, Internet of Things, Cybersecurity, Remote Sensing, Precision Agriculture, Healthcare AI, Digital Twins, Explainable AI, and Sustainable Intelligent Systems, with a strong focus on developing innovative AI-driven solutions for real-world industrial and societal challenges.