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Author: Jeb Blount
Publisher: John Wiley & Sons
ISBN: 1394244487
Category : Business & Economics
Languages : en
Pages : 314
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Book Description
Upgrade your sales process by plugging into the new power of artificial intelligence In today's cutthroat sales world, where sales professionals are constantly juggling multiple responsibilities and navigating a sea of relentless competitors, everyone is looking for an edge. What if that EDGE is found in a tool powerful enough to give you more time in your sales day, accelerate your productivity, and still leave room for the human touch that's vital to building relationships? Enter the game-changing world of Artificial Intelligence. Enter The AI Edge. The AI Edge isn't just another book about technology. Anthony Iannarino and Jeb Blount, the world's most prolific sales book authors and trainers, have come together to transform how you navigate the sales process by helping you plug into artificial intelligence. This groundbreaking, hands-on guide marries their unparalleled sales strategies, used by millions of salespeople, with the transformative power of AI. Drawing from cutting-edge research and real-world applications, the authors demystify AI and demonstrate its potential to give you more time to leverage your human advantage—creativity, empathy, and authenticity—to build deeper relationships and winning solutions that give you a leg up over the competition. Inside you'll find: Expert Guidance: Benefit from the combined wisdom of Blount and Iannarino, two giants in the sales realm, as they lay out the roadmap to plugging into an AI-augmented sales strategy Streamlined Processes & Empowered Engagement: Discover AI's role in automating repetitive tasks, freeing you to fully lean into the uniquely human side of sales: cultivating relationships, unleashing creativity, and offering unparalleled authenticity Sales Prompt Engineering: Get hands-on with tailored prompts that allow you to tap into generative AI and get better results in less time Powerful Messaging: Learn how AI, used effectively, can help you develop and go to market with powerful messaging and presentations that connect with stakeholder needs and separate you from the crowded field Intelligent Insights: Grasp how AI can be leveraged to surface insights that give you instant authority, grab stakeholder attention, and lead to richer, more productive sales conversations Research: Leverage the power of AI to build target prospecting lists that open pipeline opportunities while reducing cold calling and rejection Navigating the world of AI might seem daunting, but with Iannarino and Blount at the helm, it's a journey of empowerment, innovation, and profound human connection. Embrace a future where technology and humanity come together and carve out your own AI Edge in sales.
Author: Jeb Blount
Publisher: John Wiley & Sons
ISBN: 1394244487
Category : Business & Economics
Languages : en
Pages : 314
Get Book Here
Book Description
Upgrade your sales process by plugging into the new power of artificial intelligence In today's cutthroat sales world, where sales professionals are constantly juggling multiple responsibilities and navigating a sea of relentless competitors, everyone is looking for an edge. What if that EDGE is found in a tool powerful enough to give you more time in your sales day, accelerate your productivity, and still leave room for the human touch that's vital to building relationships? Enter the game-changing world of Artificial Intelligence. Enter The AI Edge. The AI Edge isn't just another book about technology. Anthony Iannarino and Jeb Blount, the world's most prolific sales book authors and trainers, have come together to transform how you navigate the sales process by helping you plug into artificial intelligence. This groundbreaking, hands-on guide marries their unparalleled sales strategies, used by millions of salespeople, with the transformative power of AI. Drawing from cutting-edge research and real-world applications, the authors demystify AI and demonstrate its potential to give you more time to leverage your human advantage—creativity, empathy, and authenticity—to build deeper relationships and winning solutions that give you a leg up over the competition. Inside you'll find: Expert Guidance: Benefit from the combined wisdom of Blount and Iannarino, two giants in the sales realm, as they lay out the roadmap to plugging into an AI-augmented sales strategy Streamlined Processes & Empowered Engagement: Discover AI's role in automating repetitive tasks, freeing you to fully lean into the uniquely human side of sales: cultivating relationships, unleashing creativity, and offering unparalleled authenticity Sales Prompt Engineering: Get hands-on with tailored prompts that allow you to tap into generative AI and get better results in less time Powerful Messaging: Learn how AI, used effectively, can help you develop and go to market with powerful messaging and presentations that connect with stakeholder needs and separate you from the crowded field Intelligent Insights: Grasp how AI can be leveraged to surface insights that give you instant authority, grab stakeholder attention, and lead to richer, more productive sales conversations Research: Leverage the power of AI to build target prospecting lists that open pipeline opportunities while reducing cold calling and rejection Navigating the world of AI might seem daunting, but with Iannarino and Blount at the helm, it's a journey of empowerment, innovation, and profound human connection. Embrace a future where technology and humanity come together and carve out your own AI Edge in sales.
Author: Xiaofei Wang
Publisher: Springer Nature
ISBN: 9811561869
Category : Computers
Languages : en
Pages : 156
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Book Description
As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being hindered by efficiency and latency issues. By focusing on deep learning as the most representative technique of AI, this book provides a comprehensive overview of how AI services are being applied to the network edge near the data sources, and demonstrates how AI and edge computing can be mutually beneficial. To do so, it introduces and discusses: 1) edge intelligence and intelligent edge; and 2) their implementation methods and enabling technologies, namely AI training and inference in the customized edge computing framework. Gathering essential information previously scattered across the communication, networking, and AI areas, the book can help readers to understand the connections between key enabling technologies, e.g. a) AI applications in edge; b) AI inference in edge; c) AI training for edge; d) edge computing for AI; and e) using AI to optimize edge. After identifying these five aspects, which are essential for the fusion of edge computing and AI, it discusses current challenges and outlines future trends in achieving more pervasive and fine-grained intelligence with the aid of edge computing.
Author: Pethuru Ray
Publisher: Auerbach Publications
ISBN: 9780367702366
Category : Artificial intelligence
Languages : en
Pages : 318
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Book Description
The strategic combination of edge computing and artificial intelligence (AI) is a distinct innovation and disruption enabling enterprises to visualize and realize next-generation software services and applications. Not only businesses but also individuals and innovators are all set to embrace and experience the unique capabilities of edge AI, which will provide real-time and intelligent applications with the faster maturity and stability. Edge AI will help enterprises evolve into real-time digital organizations. Applied Edge AI: Concepts, Platforms, and Industry Use Cases focuses on the technologies, processes, systems, and applications that are driving this evolution. It examines the implementation technologies, the products, processes, platforms, patterns, and practices, and use cases. AI-enabled chips are exclusively used in edge devices to accelerate intelligent processing at edge. The book examines AI toolkits and platforms for facilitating edge intelligence. It also covers chips, algorithms, and tools to implement edge AI, as well as use cases.
Author: Pradip Debnath
Publisher: CRC Press
ISBN: 1000409813
Category : Computers
Languages : en
Pages : 232
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Book Description
Soft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering. This book presents a survey of the existing knowledge and also the current state of art development through original new contributions from the researchers. This book may be used as a one-stop reference book for a broad range of readers worldwide interested in soft computing. In each chapter, the preliminaries have been presented first and then the advanced discussion takes place. Learners and researchers from a wide variety of backgrounds will find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics.
Author: Daniel Situnayake
Publisher: "O'Reilly Media, Inc."
ISBN: 1098120175
Category : Computers
Languages : en
Pages : 512
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Book Description
Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine learning, developers can capture human intuition and deploy it to any target--from ultra-low power microcontrollers to embedded Linux devices. This practical guide gives engineering professionals, including product managers and technology leaders, an end-to-end framework for solving real-world industrial, commercial, and scientific problems with edge AI. You'll explore every stage of the process, from data collection to model optimization to tuning and testing, as you learn how to design and support edge AI and embedded ML products. Edge AI is destined to become a standard tool for systems engineers. This high-level road map helps you get started. Develop your expertise in AI and ML for edge devices Understand which projects are best solved with edge AI Explore key design patterns for edge AI apps Learn an iterative workflow for developing AI systems Build a team with the skills to solve real-world problems Follow a responsible AI process to create effective products
Author: Ajith Abraham
Publisher: Academic Press
ISBN: 0128236957
Category : Technology & Engineering
Languages : en
Pages : 578
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Book Description
AI, Edge, and IoT Smart Agriculture integrates applications of IoT, edge computing, and data analytics for sustainable agricultural development and introduces Edge of Thing-based data analytics and IoT for predictability of crop, soil, and plant disease occurrence for improved sustainability and increased profitability. The book also addresses precision irrigation, precision horticulture, greenhouse IoT, livestock monitoring, IoT ecosystem for agriculture, mobile robot for precision agriculture, energy monitoring, storage management, and smart farming. The book provides an overarching focus on sustainable environment and sustainable economic development through smart and e-agriculture. Providing a medium for the exchange of expertise and inspiration, contributions from both smart agriculture and data mining researchers around the world provide foundational insights. The book provides practical application opportunities for the resolution of real-world problems, including contributions from the data mining, data analytics, Edge of Things, and cloud research communities working in the farming production sector. The book offers broad coverage of the concepts, themes, and instruments of this important and evolving area of IOT-based agriculture, Edge of Things and cloud-based farming, Greenhouse IOT, mobile agriculture, sustainable agriculture, and big data analytics in agriculture toward smart farming. Integrates sustainable agriculture, Greenhouse IOT, precision agriculture, crops monitoring, crops controlling to prediction, livestock monitoring, and farm management Presents data mining techniques for precision agriculture, including weather prediction, plant disease prediction, and decision support for crop and soil selection Promotes the importance and uses in managing the agro ecosystem for food security Emphasizes low energy usage options for low cost and environmental sustainability
Author: Thomas H. Davenport
Publisher: MIT Press
ISBN: 0262538008
Category : Business & Economics
Languages : en
Pages : 243
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Book Description
Cutting through the hype, a practical guide to using artificial intelligence for business benefits and competitive advantage. In The AI Advantage, Thomas Davenport offers a guide to using artificial intelligence in business. He describes what technologies are available and how companies can use them for business benefits and competitive advantage. He cuts through the hype of the AI craze—remember when it seemed plausible that IBM's Watson could cure cancer?—to explain how businesses can put artificial intelligence to work now, in the real world. His key recommendation: don't go for the “moonshot” (curing cancer, or synthesizing all investment knowledge); look for the “low-hanging fruit” to make your company more efficient. Davenport explains that the business value AI offers is solid rather than sexy or splashy. AI will improve products and processes and make decisions better informed—important but largely invisible tasks. AI technologies won't replace human workers but augment their capabilities, with smart machines to work alongside smart people. AI can automate structured and repetitive work; provide extensive analysis of data through machine learning (“analytics on steroids”), and engage with customers and employees via chatbots and intelligent agents. Companies should experiment with these technologies and develop their own expertise. Davenport describes the major AI technologies and explains how they are being used, reports on the AI work done by large commercial enterprises like Amazon and Google, and outlines strategies and steps to becoming a cognitive corporation. This book provides an invaluable guide to the real-world future of business AI. A book in the Management on the Cutting Edge series, published in cooperation with MIT Sloan Management Review.
Author: Pete Warden
Publisher: O'Reilly Media
ISBN: 1492052019
Category : Computers
Languages : en
Pages : 504
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Book Description
Deep learning networks are getting smaller. Much smaller. The Google Assistant team can detect words with a model just 14 kilobytes in size—small enough to run on a microcontroller. With this practical book you’ll enter the field of TinyML, where deep learning and embedded systems combine to make astounding things possible with tiny devices. Pete Warden and Daniel Situnayake explain how you can train models small enough to fit into any environment. Ideal for software and hardware developers who want to build embedded systems using machine learning, this guide walks you through creating a series of TinyML projects, step-by-step. No machine learning or microcontroller experience is necessary. Build a speech recognizer, a camera that detects people, and a magic wand that responds to gestures Work with Arduino and ultra-low-power microcontrollers Learn the essentials of ML and how to train your own models Train models to understand audio, image, and accelerometer data Explore TensorFlow Lite for Microcontrollers, Google’s toolkit for TinyML Debug applications and provide safeguards for privacy and security Optimize latency, energy usage, and model and binary size
Author: Anirudh Koul
Publisher: "O'Reilly Media, Inc."
ISBN: 1492034819
Category : Computers
Languages : en
Pages : 585
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Book Description
Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users
Author: Pethuru Raj
Publisher: CRC Press
ISBN: 1000552691
Category : Computers
Languages : en
Pages : 334
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Book Description
The strategically sound combination of edge computing and artificial intelligence (AI) results in a series of distinct innovations and disruptions enabling worldwide enterprises to visualize and realize next-generation software products, solutions and services. Businesses, individuals, and innovators are all set to embrace and experience the sophisticated capabilities of Edge AI. With the faster maturity and stability of Edge AI technologies and tools, the world is destined to have a dazzling array of edge-native, people-centric, event-driven, real-time, service-oriented, process-aware, and insights-filled services. Further on, business workloads and IT services will become competent and cognitive with state-of-the-art Edge AI infrastructure modules, AI algorithms and models, enabling frameworks, integrated platforms, accelerators, high-performance processors, etc. The Edge AI paradigm will help enterprises evolve into real-time and intelligent digital organizations. Applied Edge AI: Concepts, Platforms, and Industry Use Cases focuses on the technologies, processes, systems, and applications that are driving this evolution. It examines the implementation technologies; the products, processes, platforms, patterns, and practices; and use cases. AI-enabled chips are exclusively used in edge devices to accelerate intelligent processing at the edge. This book examines AI toolkits and platforms for facilitating edge intelligence. It also covers chips, algorithms, and tools to implement Edge AI, as well as use cases. FEATURES The opportunities and benefits of intelligent edge computing Edge architecture and infrastructure AI-enhanced analytics in an edge environment Encryption for securing information An Edge AI system programmed with Tiny Machine learning algorithms for decision making An improved edge paradigm for addressing the big data movement in IoT implementations by integrating AI and caching to the edge Ambient intelligence in healthcare services and in development of consumer electronic systems Smart manufacturing of unmanned aerial vehicles (UAVs) AI, edge computing, and blockchain in systems for environmental protection Case studies presenting the potential of leveraging AI in 5G wireless communication
