[PDF] Ai And Data Strategy - eBooks Review

Ai And Data Strategy


Ai And Data Strategy
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Ai And Data Strategy


Ai And Data Strategy
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Author : Peta Marshall
language : en
Publisher:
Release Date : 2019-08-07

Ai And Data Strategy written by Peta Marshall and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-07 with categories.


Artificial Intelligence and Big Data are shaping the world and every business must adopt a strategy and change the culture of their organisation to be able to survive and prosper. The Fourth Industrial Revolution is altering every facet of society and this book provides managers and professionals with the strategic skills to implement the changes required. Machines are increasingly being able to process information and perform actions that previously only humans could do. This revolution is taking place now and this book provides the information to guide future efforts. Information from this book comes from research and workshops with professionals and a template with suggestions is provided to allow the design and implementation of an AI and data strategy and culture in your organisation. This book is available at a bargain price to allow organisations across the globe to benefit from the revolution taking place.



Data Strategy


Data Strategy
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Author : Bernard Marr
language : en
Publisher:
Release Date : 2017

Data Strategy written by Bernard Marr and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Business & Economics categories.


Explains how to profit from an effective data strategy in a world of Big Data, Analytics and the Internet of Things



Competing In The Age Of Ai


Competing In The Age Of Ai
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Author : Marco Iansiti
language : en
Publisher: Harvard Business Press
Release Date : 2020-01-07

Competing In The Age Of Ai written by Marco Iansiti and has been published by Harvard Business Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-07 with Business & Economics categories.


"a provocative new book" — The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Now with a new preface that explores how the coronavirus crisis compelled organizations such as Massachusetts General Hospital, Verizon, and IKEA to transform themselves with remarkable speed, Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning—to drive ever more accurate, complex, and sophisticated predictions. When traditional operating constraints are removed, strategy becomes a whole new game, one whose rules and likely outcomes this book will make clear. Iansiti and Lakhani: Present a framework for rethinking business and operating models Explain how "collisions" between AI-driven/digital and traditional/analog firms are reshaping competition, altering the structure of our economy, and forcing traditional companies to rearchitect their operating models Explain the opportunities and risks created by digital firms Describe the new challenges and responsibilities for the leaders of both digital and traditional firms Packed with examples—including many from the most powerful and innovative global, AI-driven competitors—and based on research in hundreds of firms across many sectors, this is your essential guide for rethinking how your firm competes and operates in the era of AI.



Ai Strategy For Sales And Marketing


Ai Strategy For Sales And Marketing
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Author : Katie King
language : en
Publisher: Kogan Page Publishers
Release Date : 2022-01-03

Ai Strategy For Sales And Marketing written by Katie King and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-03 with Business & Economics categories.


Marketing and sales prioritize AI and machine learning more than any other business department, yet often struggle with how to scale and strategize the opportunities they present. AI Strategy for Sales and Marketing presents a framework for understanding how AI can boost customer-centricity and sales by creating a connected strategy that delivers value today and into the future. Supported by practical tips and advice throughout, it covers topics including personalization, upskilling, customer experience for both on and offline shopping channels and the importance of using AI responsibly to create consumer trust. Featuring original research and interviews with leading practitioners, it also contains global case studies from organizations in a range of sectors, including Samsung, PwC, Rolls Royce, Deloitte and Hilton, with insights into the various stages of their adoption journeys. Written by a recognized industry expert, it is an invaluable resource for those wanting to benefit from using AI strategically in marketing, sales and CX.



Artificial Intelligence For Big Data


Artificial Intelligence For Big Data
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Author : Anand Deshpande
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-05-22

Artificial Intelligence For Big Data written by Anand Deshpande and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-22 with Computers categories.


Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlib Create self-learning systems using neural networks, NLP, and reinforcement learning Book Description In this age of big data, companies have larger amount of consumer data than ever before, far more than what the current technologies can ever hope to keep up with. However, Artificial Intelligence closes the gap by moving past human limitations in order to analyze data. With the help of Artificial Intelligence for big data, you will learn to use Machine Learning algorithms such as k-means, SVM, RBF, and regression to perform advanced data analysis. You will understand the current status of Machine and Deep Learning techniques to work on Genetic and Neuro-Fuzzy algorithms. In addition, you will explore how to develop Artificial Intelligence algorithms to learn from data, why they are necessary, and how they can help solve real-world problems. By the end of this book, you'll have learned how to implement various Artificial Intelligence algorithms for your big data systems and integrate them into your product offerings such as reinforcement learning, natural language processing, image recognition, genetic algorithms, and fuzzy logic systems. What you will learn Manage Artificial Intelligence techniques for big data with Java Build smart systems to analyze data for enhanced customer experience Learn to use Artificial Intelligence frameworks for big data Understand complex problems with algorithms and Neuro-Fuzzy systems Design stratagems to leverage data using Machine Learning process Apply Deep Learning techniques to prepare data for modeling Construct models that learn from data using open source tools Analyze big data problems using scalable Machine Learning algorithms Who this book is for This book is for you if you are a data scientist, big data professional, or novice who has basic knowledge of big data and wish to get proficiency in Artificial Intelligence techniques for big data. Some competence in mathematics is an added advantage in the field of elementary linear algebra and calculus.



Artificial Intelligence For Business


Artificial Intelligence For Business
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Author : Ana Landeta Echeberria
language : en
Publisher: Springer Nature
Release Date : 2022-01-22

Artificial Intelligence For Business written by Ana Landeta Echeberria and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-22 with Business & Economics categories.


This book seeks to build a shared understanding of Artificial Intelligence (AI) within the global business scenario today and in the near future. Drawing on academic theory and real-world case studies, it examines AI’s development and application across a number of business contexts. Taking current scholarship forward in its engagement with AI theory and practice for enterprises and applied research and innovation, it outlines international practices for the promotion of reliable AI systems, trends, research and development, fostering a digital ecosystem for AI and preparing companies for job transformation and building skills. This book will be of great interest to academics studying Digital Business, Digital Strategy, Innovation Management, and Information Technology.



Leading With Ai And Analytics Build Your Data Science Iq To Drive Business Value


Leading With Ai And Analytics Build Your Data Science Iq To Drive Business Value
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Author : Eric Anderson
language : en
Publisher: McGraw Hill Professional
Release Date : 2020-11-23

Leading With Ai And Analytics Build Your Data Science Iq To Drive Business Value written by Eric Anderson and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-23 with Business & Economics categories.


Lead your organization to become evidence-driven Data. It’s the benchmark that informs corporate projections, decision-making, and analysis. But, why do many organizations that see themselves as data-driven fail to thrive? In Leading with AI and Analytics, two renowned experts from the Kellogg School of Management show business leaders how to transform their organization to become evidence-driven, which leads to real, measurable changes that can help propel their companies to the top of their industries. The availability of unprecedented technology-enabled tools has made AI (Artificial Intelligence) an essential component of business analytics. But what’s often lacking are the leadership skills to integrate these technologies to achieve maximum value. Here, the authors provide a comprehensive game plan for developing that all-important human factor to get at the heart of data science: the ability to apply analytical thinking to real-world problems. Each of these tools and techniques comes to powerful life through a wealth of powerful case studies and real-world success stories. Inside, you’ll find the essential tools to help you: Develop a strong data science intuition quotient Lead and scale AI and analytics throughout your organization Move from “best-guess” decision making to evidence-based decisions Craft strategies and tactics to create real impact Written for anyone in a leadership or management role—from C-level/unit team managers to rising talent—this powerful, hands-on guide meets today’s growing need for real-world tools to lead and succeed with data.



Business Trends In Practice


Business Trends In Practice
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Author : Bernard Marr
language : en
Publisher: John Wiley & Sons
Release Date : 2021-11-15

Business Trends In Practice written by Bernard Marr and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-15 with Business & Economics categories.


WINNER OF THE BUSINESS BOOK OF THE YEAR AWARD 2022! Stay one step ahead of the competition with this expert review of the most impactful and disruptive business trends coming down the pike Far from slowing down, change and transformation in business seems to come only at a more and more furious rate. The last ten years alone have seen the introduction of groundbreaking new trends that pose new opportunities and challenges for leaders in all industries. In Business Trends in Practice: The 25+ Trends That Are Redefining Organizations, best-selling business author and strategist Bernard Marr breaks down the social and technological forces underlying these rapidly advancing changes and the impact of those changes on key industries. Critical consumer trends just emerging today—or poised to emerge tomorrow—are discussed, as are strategies for rethinking your organisation’s product and service delivery. The book also explores: Crucial business operations trends that are changing the way companies conduct themselves in the 21st century The practical insights and takeaways you can glean from technological and social innovation when you cut through the hype Disruptive new technologies, including AI, robotic and business process automation, remote work, as well as social and environmental sustainability trends Business Trends in Practice: The 25+ Trends That Are Redefining Organizations is a must-read resource for executives, business leaders and managers, and business development and innovation leads trying to get – and stay – on top of changes and disruptions that are right around the corner.



Ai Strategy


Ai Strategy
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Author : Bernard Marr
language : en
Publisher: Kogan Page Publishers
Release Date : 2025-04-03

Ai Strategy written by Bernard Marr and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-03 with Computers categories.


Is your business truly ready for the AI revolution? Discover how to unlock the full potential of artificial intelligence and future-proof your organization with a winning AI strategy. AI is transforming every industry - is your business keeping up? In this essential guide, bestselling author and futurist Bernard Marr provides a comprehensive playbook for leaders looking to harness the power of AI. From understanding AI's transformative impact to developing a clear, actionable strategy, this book equips leaders with the tools they need to drive innovation, manage risks, and stay ahead in an AI-driven world. AI Strategy is the definitive guide for leaders ready to unlock AI's potential at scale. Covering every aspect of AI adoption - from ethical considerations and data management to employee upskilling and tech infrastructure - this book delivers real-world examples across multiple organizations and industries, from energy, healthcare and education to marketing and HR. Whether you're just starting or scaling fast, this must-read guide will help you confidently build and execute a winning AI strategy.



Digital Transformation With Crm Ai Strategies For Scalable Enterprise Solutions In Public And Private Sectors


Digital Transformation With Crm Ai Strategies For Scalable Enterprise Solutions In Public And Private Sectors
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Author : Lakshman Pradeep Reddy Vangala
language : en
Publisher: Xoffencer International Book Publication House
Release Date : 2025-06-24

Digital Transformation With Crm Ai Strategies For Scalable Enterprise Solutions In Public And Private Sectors written by Lakshman Pradeep Reddy Vangala and has been published by Xoffencer International Book Publication House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.


Digital transformation has become a cornerstone of strategic growth across public and private enterprises, driven by the rapid evolution of artificial intelligence (AI) and customer relationship management (CRM) technologies. This Book explores how AI-integrated CRM systems are revolutionizing organizational processes, enhancing customer engagement, and enabling scalable enterprise solutions. In the public sector, AI-powered CRMs are helping governments improve citizen services, automate administrative workflows, and deliver personalized interactions. In the private sector, these systems optimize sales, marketing, and customer service operations through predictive analytics, natural language processing, chatbots, and intelligent automation. The abstract outlines the strategic role of AI in transforming traditional CRM platforms into dynamic, data-driven ecosystems that foster operational efficiency, agility, and customer-centricity. The study also highlights the challenges of data privacy, system integration, and skill gaps while proposing implementation frameworks and best practices for successful adoption. Through a comparative analysis, case studies, and future outlooks, this research offers a comprehensive view of how AI-driven CRM solutions can unlock sustained digital growth and transformation in diverse enterprise environments.