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Author: Sajjad Ahmad
Publisher: Sajjad ahmad
ISBN:
Category : Computers
Languages : en
Pages : 150
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Book Description
In the ever-evolving terrain of technology, the convergence of artificial intelligence (AI) and product management has become a defining feature of the contemporary business landscape. The symbiotic relationship between these two domains has ushered in a new era of innovation, challenging traditional paradigms and reshaping the way products are conceptualized, developed, and delivered to users. As we stand at the crossroads of technological advancement, it is crucial to understand the intricate interplay between AI and product management. Product managers are no longer mere architects of features; they are orchestrators of intelligent systems, harnessing the power of machine learning, data analytics, and automation to redefine user experiences and business processes. This journey into the future of product management and AI is not merely a forecast but a roadmap that navigates the complex terrains of opportunities and challenges. It requires a keen understanding of the profound changes AI introduces to the product development lifecycle, the impact on user-centric design, and the transformative nature of data-driven decision-making. The landscape we traverse is marked by the fusion of human ingenuity with the capabilities of machines. It's a realm where algorithms augment creativity, where data becomes the currency of innovation, and where products evolve dynamically in response to real-time insights. As we embark on this exploration, it is imperative to grasp the significance of AI not as a standalone entity but as an integral force shaping the future trajectory of product management. This book seeks to unravel the intricacies of this evolving landscape, offering a comprehensive guide for product managers, business leaders, and enthusiasts who aim to harness the potential of AI to propel their products into the future. We will delve into the collaborative synergy between human expertise and machine intelligence, explore ethical considerations in design, navigate the challenges of agile methodologies in AI projects, and decipher the critical role of continuous learning in staying ahead of the curve. Join us on this expedition as we define the landscape where the pulse of AI harmonizes with the heartbeat of product management. Through insights, strategies, and real-world case studies, we aim to empower you to not only adapt to this changing landscape but to thrive within it, creating products that resonate with users in a world where the only constant is relentless innovation.
Author: Sajjad Ahmad
Publisher: Sajjad ahmad
ISBN:
Category : Computers
Languages : en
Pages : 150
Get Book Here
Book Description
In the ever-evolving terrain of technology, the convergence of artificial intelligence (AI) and product management has become a defining feature of the contemporary business landscape. The symbiotic relationship between these two domains has ushered in a new era of innovation, challenging traditional paradigms and reshaping the way products are conceptualized, developed, and delivered to users. As we stand at the crossroads of technological advancement, it is crucial to understand the intricate interplay between AI and product management. Product managers are no longer mere architects of features; they are orchestrators of intelligent systems, harnessing the power of machine learning, data analytics, and automation to redefine user experiences and business processes. This journey into the future of product management and AI is not merely a forecast but a roadmap that navigates the complex terrains of opportunities and challenges. It requires a keen understanding of the profound changes AI introduces to the product development lifecycle, the impact on user-centric design, and the transformative nature of data-driven decision-making. The landscape we traverse is marked by the fusion of human ingenuity with the capabilities of machines. It's a realm where algorithms augment creativity, where data becomes the currency of innovation, and where products evolve dynamically in response to real-time insights. As we embark on this exploration, it is imperative to grasp the significance of AI not as a standalone entity but as an integral force shaping the future trajectory of product management. This book seeks to unravel the intricacies of this evolving landscape, offering a comprehensive guide for product managers, business leaders, and enthusiasts who aim to harness the potential of AI to propel their products into the future. We will delve into the collaborative synergy between human expertise and machine intelligence, explore ethical considerations in design, navigate the challenges of agile methodologies in AI projects, and decipher the critical role of continuous learning in staying ahead of the curve. Join us on this expedition as we define the landscape where the pulse of AI harmonizes with the heartbeat of product management. Through insights, strategies, and real-world case studies, we aim to empower you to not only adapt to this changing landscape but to thrive within it, creating products that resonate with users in a world where the only constant is relentless innovation.
Author: Alfred Essa
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 150150584X
Category : Business & Economics
Languages : en
Pages : 277
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Book Description
Most economists agree that AI is a general purpose technology (GPT) like the steam engine, electricity, and the computer. AI will drive innovation in all sectors of the economy for the foreseeable future. Practical AI for Business Leaders, Product Managers, and Entrepreneurs is a technical guidebook for the business leader or anyone responsible for leading AI-related initiatives in their organization. The book can also be used as a foundation to explore the ethical implications of AI. Authors Alfred Essa and Shirin Mojarad provide a gentle introduction to foundational topics in AI. Each topic is framed as a triad: concept, theory, and practice. The concept chapters develop the intuition, culminating in a practical case study. The theory chapters reveal the underlying technical machinery. The practice chapters provide code in Python to implement the models discussed in the case study. With this book, readers will learn: The technical foundations of machine learning and deep learning How to apply the core technical concepts to solve business problems The different methods used to evaluate AI models How to understand model development as a tradeoff between accuracy and generalization How to represent the computational aspects of AI using vectors and matrices How to express the models in Python by using machine learning libraries such as scikit-learn, statsmodels, and keras
Author: Mark Van Rijmenam
Publisher: Routledge
ISBN: 1000007677
Category : Business & Economics
Languages : en
Pages : 177
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Book Description
The Organisation of Tomorrow presents a new model of doing business and explains how big data analytics, blockchain and artificial intelligence force us to rethink existing business models and develop organisations that will be ready for human-machine interactions. It also asks us to consider the impacts of these emerging information technologies on people and society. Big data analytics empowers consumers and employees. This can result in an open strategy and a better understanding of the changing environment. Blockchain enables peer-to-peer collaboration and trustless interactions governed by cryptography and smart contracts. Meanwhile, artificial intelligence allows for new and different levels of intensity and involvement among human and artificial actors. With that, new modes of organising are emerging: where technology facilitates collaboration between stakeholders; and where human-to-human interactions are increasingly replaced with human-to-machine and even machine-to-machine interactions. This book offers dozens of examples of industry leaders such as Walmart, Telstra, Alibaba, Microsoft and T-Mobile, before presenting the D2 + A2 model – a new model to help organisations datafy their business, distribute their data, analyse it for insights and automate processes and customer touchpoints to be ready for the data-driven and exponentially-changing society that is upon us This book offers governments, professional services, manufacturing, finance, retail and other industries a clear approach for how to develop products and services that are ready for the twenty-first century. It is a must-read for every organisation that wants to remain competitive in our fast-changing world.
Author: Harvard Business Review
Publisher: HBR Insights
ISBN: 9781633697898
Category : Business & Economics
Languages : en
Pages : 160
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Book Description
Companies that don't use AI to their advantage will soon be left behind. Artificial intelligence and machine learning will drive a massive reshaping of the economy and society. What should you and your company be doing right now to ensure that your business is poised for success? These articles by AI experts and consultants will help you understand today's essential thinking on what AI is capable of now, how to adopt it in your organization, and how the technology is likely to evolve in the near future. Artificial Intelligence: The Insights You Need from Harvard Business Review will help you spearhead important conversations, get going on the right AI initiatives for your company, and capitalize on the opportunity of the machine intelligence revolution. Catch up on current topics and deepen your understanding of them with the Insights You Need series from Harvard Business Review. Featuring some of HBR's best and most recent thinking, Insights You Need titles are both a primer on today's most pressing issues and an extension of the conversation, with interesting research, interviews, case studies, and practical ideas to help you explore how a particular issue will impact your company and what it will mean for you and your business.
Author: Blake Morgan
Publisher: HarperCollins Leadership
ISBN: 1400213649
Category : Business & Economics
Languages : en
Pages : 225
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Book Description
With emerging technology transforming customer expectations, it's important to keep a laser focus on the experience companies provide their customers. Tomorrow's customers need to be targeted today! Customer experience futurist Blake Morgan outlines ten easy-to-follow customer experience guidelines that integrate emerging technologies with effective strategies to combat disconnected processes, silo mentalities, and a lack of buyer perspective. The Customer of the Future explains how today's customers are already demanding frictionless, personalized, on-demand experiences from their products and services, and companies that don't adapt to these new expectations won't last. This book prepares your organization for these increasing demands by helping you do the following: Learn the ten defining strategies for a customer experience-focused company. Implement new techniques to shift the entire company from being product-focused to being customer-focused. Gain insights through case studies and examples on how the world's most innovative companies are offering new and compelling customer experiences. Tomorrow's customers will insist on experiences that make their lives significantly easier and better. Craft a leadership development and culture plan to create lasting change at your organization!
Author: Jim Sterne
Publisher: John Wiley & Sons
ISBN: 1119406331
Category : Business & Economics
Languages : en
Pages : 373
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Book Description
A straightforward, non-technical guide to the next major marketing tool Artificial Intelligence for Marketing presents a tightly-focused introduction to machine learning, written specifically for marketing professionals. This book will not teach you to be a data scientist—but it does explain how Artificial Intelligence and Machine Learning will revolutionize your company's marketing strategy, and teach you how to use it most effectively. Data and analytics have become table stakes in modern marketing, but the field is ever-evolving with data scientists continually developing new algorithms—where does that leave you? How can marketers use the latest data science developments to their advantage? This book walks you through the "need-to-know" aspects of Artificial Intelligence, including natural language processing, speech recognition, and the power of Machine Learning to show you how to make the most of this technology in a practical, tactical way. Simple illustrations clarify complex concepts, and case studies show how real-world companies are taking the next leap forward. Straightforward, pragmatic, and with no math required, this book will help you: Speak intelligently about Artificial Intelligence and its advantages in marketing Understand how marketers without a Data Science degree can make use of machine learning technology Collaborate with data scientists as a subject matter expert to help develop focused-use applications Help your company gain a competitive advantage by leveraging leading-edge technology in marketing Marketing and data science are two fast-moving, turbulent spheres that often intersect; that intersection is where marketing professionals pick up the tools and methods to move their company forward. Artificial Intelligence and Machine Learning provide a data-driven basis for more robust and intensely-targeted marketing strategies—and companies that effectively utilize these latest tools will reap the benefit in the marketplace. Artificial Intelligence for Marketing provides a nontechnical crash course to help you stay ahead of the curve.
Author: Paul R. Daugherty
Publisher: Harvard Business Press
ISBN: 1633693872
Category : Computers
Languages : en
Pages : 268
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Book Description
AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.
Author: Anand Deshpande
Publisher: Packt Publishing Ltd
ISBN: 1788476018
Category : Computers
Languages : en
Pages : 371
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Book Description
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.
Author: Melanie Mitchell
Publisher: Farrar, Straus and Giroux
ISBN: 0374715238
Category : Computers
Languages : en
Pages : 336
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Book Description
Melanie Mitchell separates science fact from science fiction in this sweeping examination of the current state of AI and how it is remaking our world No recent scientific enterprise has proved as alluring, terrifying, and filled with extravagant promise and frustrating setbacks as artificial intelligence. The award-winning author Melanie Mitchell, a leading computer scientist, now reveals AI’s turbulent history and the recent spate of apparent successes, grand hopes, and emerging fears surrounding it. In Artificial Intelligence, Mitchell turns to the most urgent questions concerning AI today: How intelligent—really—are the best AI programs? How do they work? What can they actually do, and when do they fail? How humanlike do we expect them to become, and how soon do we need to worry about them surpassing us? Along the way, she introduces the dominant models of modern AI and machine learning, describing cutting-edge AI programs, their human inventors, and the historical lines of thought underpinning recent achievements. She meets with fellow experts such as Douglas Hofstadter, the cognitive scientist and Pulitzer Prize–winning author of the modern classic Gödel, Escher, Bach, who explains why he is “terrified” about the future of AI. She explores the profound disconnect between the hype and the actual achievements in AI, providing a clear sense of what the field has accomplished and how much further it has to go. Interweaving stories about the science of AI and the people behind it, Artificial Intelligence brims with clear-sighted, captivating, and accessible accounts of the most interesting and provocative modern work in the field, flavored with Mitchell’s humor and personal observations. This frank, lively book is an indispensable guide to understanding today’s AI, its quest for “human-level” intelligence, and its impact on the future for us all.
Author: Raj Venkatesan
Publisher: Stanford University Press
ISBN: 1503628043
Category : Business & Economics
Languages : en
Pages : 295
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Book Description
This book offers a direct, actionable plan CMOs can use to map out initiatives that are properly sequenced and designed for success—regardless of where their marketing organization is in the process. The authors pose the following critical questions to marketers: (1) How should modern marketers be thinking about artificial intelligence and machine learning? and (2) How should marketers be developing a strategy and plan to implement AI into their marketing toolkit? The opening chapters provide marketing leaders with an overview of what exactly AI is and how is it different than traditional computer science approaches. Venkatesan and Lecinski, then, propose a best-practice, five-stage framework for implementing what they term the "AI Marketing Canvas." Their approach is based on research and interviews they conducted with leading marketers, and offers many tangible examples of what brands are doing at each stage of the AI Marketing Canvas. By way of guidance, Venkatesan and Lecinski provide examples of brands—including Google, Lyft, Ancestry.com, and Coca-Cola—that have successfully woven AI into their marketing strategies. The book concludes with a discussion of important implications for marketing leaders—for your team and culture.
