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Future Tech Startups and Innovation in the Age of AI

Author : Inam Ullah Khan

Publisher : CRC Press

Page : 359 pages

File Size : 24,2 MB

Release : 2024-10-30

Category : Computers

ISBN : 1040128602

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Book Description

Our book, Future of Tech Startups and Innovations in the Age of AI, mainly focuses on artificial intelligence (AI) tools, AI-based startups, AI-enabled innovations, Autonomous AI Agents (Auto-GPT), AI-based marketing startups, machine learning for organizations, AI-internet of things (IoT) for new tech companies, AI-enabled drones for agriculture industry, machine learning (ML)/deep learning (DL)-based drip farming, AI-based driverless cars, AI-based weather prediction startups, AI tools for personal branding, AI-based teaching, AI-based doctor/hospital startups, AI for game companies, AI-based finance tools, AI for human resource management, AI-powered management tools, AI tools for future pandemics, AI/ML-based transportation companies, AI for media, AI for carrier counseling, AI for customer care, AI for next generation businesses, and many more applications. AI tools and techniques will revolutionize startups all over the world. Entrepreneurs, engineers, and practitioners have already moved toward AI-based solutions to reshape businesses. AI/ML will create possibilities and opportunities for improving human lifestyles. AI-enabled startups will work on cost-effective solutions to solve difficult problems. Recently, many research companies are interested in providing solutions and investing a lot in AI-based startups. AI-driven products will revolutionize the "smart world." AI computing tech companies will help to model human speech recognition systems. Also, AI-based startups will focus on perception and reasoning of autonomous robotic systems. AI/ML-based tech startups will introduce smart online education systems for future pandemics. More interestingly, people are also moving for online job opportunities and trying to work from home. Future innovation needs closer relations between academia and industry. Therefore, online platforms need to be introduced that will only focus on academia and industry linkage. Future AI tech-based startups will focus more on research and development to introduce novel products to the market. Accordingly, engineers and many other people should be trained on AI tools and techniques to introduce innovative solutions for the smart world. In addition, integration of many new technologies with AI will be made possible. AI with IoT, smart cities, unmanned aerial vehicles (UAVs), wireless sensor networks, software-defined networks, network management, vehicular ad hoc networks, flying ad hoc networks, wireless communication technologies, ML, reinforcement learning, federated learning and other mechanisms will introduce new technological products.



Competing in the Age of AI

Author : Marco Iansiti

Publisher : Harvard Business Press

Page : 175 pages

File Size : 24,61 MB

Release : 2020-01-07

Category : Business & Economics

ISBN : 1633697630

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Book Description

"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.



Radically Human

Author : Paul Daugherty

Publisher : Harvard Business Press

Page : 152 pages

File Size : 14,60 MB

Release : 2022-04-26

Category : Business & Economics

ISBN : 1647821096

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Book Description

Technology advances are making tech more . . . human. This changes everything you thought you knew about innovation and strategy. In their groundbreaking book, Human + Machine, Accenture technology leaders Paul R. Daugherty and H. James Wilson showed how leading organizations use the power of human-machine collaboration to transform their processes and their bottom lines. Now, as new AI powered technologies like the metaverse, natural language processing, and digital twins begin to rapidly impact both life and work, those companies and other pioneers across industries are tipping the balance even more strikingly toward the human side with technology-led strategy that is reshaping the very nature of innovation. In Radically Human, Daugherty and Wilson show this profound shift, fast-forwarded by the pandemic, toward more human—and more humane—technology. Artificial intelligence is becoming less artificial and more intelligent. Instead of data-hungry approaches to AI, innovators are pursuing data-efficient approaches that enable machines to learn as humans do. Instead of replacing workers with machines, they're unleashing human expertise to create human-centered AI. In place of lumbering legacy IT systems, they're building cloud-first IT architectures able to continuously adapt to a world of billions of connected devices. And they're pursuing strategies that will take their place alongside classic, winning business formulas like disruptive innovation. These against-the-grain approaches to the basic building blocks of business—Intelligence, Data, Expertise, Architecture, and Strategy (IDEAS)—are transforming competition. Industrial giants and startups alike are drawing on this radically human IDEAS framework to create new business models, optimize post-pandemic approaches to work and talent, rebuild trust with their stakeholders, and show the way toward a sustainable future. With compelling insights and fresh examples from a variety of industries, Radically Human will forever change the way you think about, practice, and win with innovation.



The Work of the Future

Author : David H. Autor

Publisher : MIT Press

Page : 189 pages

File Size : 44,13 MB

Release : 2022-06-21

Category : Business & Economics

ISBN : 0262367742

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Book Description

Why the United States lags behind other industrialized countries in sharing the benefits of innovation with workers and how we can remedy the problem. The United States has too many low-quality, low-wage jobs. Every country has its share, but those in the United States are especially poorly paid and often without benefits. Meanwhile, overall productivity increases steadily and new technology has transformed large parts of the economy, enhancing the skills and paychecks of higher paid knowledge workers. What’s wrong with this picture? Why have so many workers benefited so little from decades of growth? The Work of the Future shows that technology is neither the problem nor the solution. We can build better jobs if we create institutions that leverage technological innovation and also support workers though long cycles of technological transformation. Building on findings from the multiyear MIT Task Force on the Work of the Future, the book argues that we must foster institutional innovations that complement technological change. Skills programs that emphasize work-based and hybrid learning (in person and online), for example, empower workers to become and remain productive in a continuously evolving workplace. Industries fueled by new technology that augments workers can supply good jobs, and federal investment in R&D can help make these industries worker-friendly. We must act to ensure that the labor market of the future offers benefits, opportunity, and a measure of economic security to all.



Business Model Innovation

Author : Constantinos Markides

Publisher : Cambridge University Press

Page : 119 pages

File Size : 20,11 MB

Release : 2023-06-29

Category : Business & Economics

ISBN : 1108999174

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Book Description

Digital technologies have allowed for the proliferation of new business models, something that has attracted the attention of academic research. Much of this research has focused on (i) understanding what a business model is and its theoretical connection to the concept of strategy, and (ii) exploring what business model innovation is and what its sources and outcomes are. Less work has gone into studying the issues that established firms face in business model innovation – such as how to respond to the arrival of a disruptive business model in one's industry, or how to compete with dual business models or how to migrate from one business model to another. This Element approaches the topic of business model innovation from the perspective of the established firm and examines the unique strategic and organizational issues that big, established companies face when a new business model enters their markets.



Augmenting Your Career

Author : David Shrier

Publisher : Piatkus

Page : 217 pages

File Size : 48,81 MB

Release : 2021-06-03

Category : Technology & Engineering

ISBN : 0349425434

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Book Description

Essential reading for anyone who wants to be relevant in the workforce of tomorrow. Drawing on more than a decade of research on artificial intelligence and human systems, David L. Shrier, a globally recognised futurist and innovation specialist, delivers fascinating insights and tips on how to win at work in the age of AI. Artificial intelligence is driving workforce disruption on a scale not seen since the Industrial Revolution. Automation was once associated with mass layoffs in heavy industry like auto and steel, but computers are getting smarter and are beginning to replace traditionally 'white collar' roles like law, consulting, banking and finance. Yet some curious findings are emerging from the world's leading research labs. The combined intellect of people and machines working in harmony is able to achieve outcomes that are better than either can accomplish alone. Properly tuned AI systems can even help harness the power of the collective intelligence of an entire organisation or community to predict future events. This isn't science fiction; this is science fact the author personally helped discover. What are these new hybrid AI+people systems? What can specialised AI systems do to help you succeed in your career? How can you work most effectively with these machines? Written by a practitioner who has worked with some of the largest companies in the world as well as some of the most innovative startups, Augmenting Your Career provides a rare window into a frontier area of computer science that will change everything about how you work and what your job will look like. Read this book and fast track your evolution to the knowledge worker of the future.



Artificial Intelligence

Author : Harvard Business Review

Publisher : HBR Insights

Page : 160 pages

File Size : 12,70 MB

Release : 2019

Category : Business & Economics

ISBN : 9781633697898

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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.



Deploying Machine Learning

Author : Robbie Allen

Publisher : Addison-Wesley Professional

Page : 99998 pages

File Size : 47,65 MB

Release : 2019-05

Category : Computers

ISBN : 9780135226209

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Book Description

Increasingly, business leaders and managers recognize that machine learning offers their companies immense opportunities for competitive advantage. But most discussions of machine learning are intensely technical or academic, and don't offer practical information leaders can use to identify, evaluate, plan, or manage projects. Deploying Machine Learning fills that gap, helping them clarify exactly how machine learning can help them, and collaborate with technologists to actually apply it successfully. You'll learn: What machine learning is, how it compares to "big data" and "artificial intelligence," and why it's suddenly so important What machine learning can do for you: solutions for computer vision, natural language processing, prediction, and more How to use machine learning to solve real business problems -- from reducing costs through improving decision-making and introducing new products Separating hype from reality: identifying pitfalls, limitations, and misconceptions upfront Knowing enough about the technology to work effectively with your technical team Getting the data right: sourcing, collection, governance, security, and culture Solving harder problems: exploring deep learning and other advanced techniques Understanding today's machine learning software and hardware ecosystem Evaluating potential projects, and addressing workforce concerns Staffing your project, acquiring the right tools, and building a workable project plan Interpreting results -- and building an organization that can increasingly learn from data Using machine learning responsibly and ethically Preparing for tomorrow's advances The authors conclude with five chapter-length case studies: image, text, and video analysis, chatbots, and prediction applications. For each, they don't just present results: they also illuminate the process the company undertook, and the pitfalls it overcame along the way.



Lean AI

Author : Lomit Patel

Publisher : "O'Reilly Media, Inc."

Page : 213 pages

File Size : 11,65 MB

Release : 2020-01-30

Category : Business & Economics

ISBN : 1492059269

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Book Description

How can startups successfully scale customer acquisition and revenue growth with a Lean team? Out-of-the-box acquisition solutions from Facebook, Google, and others provide a good start, but the companies that can tailor those solutions to meet their specific needs, objectives, and goals will come out winners. But that hasn’t been an easy task—until now. With this practical book, author Lomit Patel shows you how to use AI and automation to provide an operational layer atop those acquisition solutions to deliver amazing results for your company. You’ll learn how to adapt, customize, and personalize cross-channel user journeys to help your company attract and retain customers—to usher in the new age of Autonomous Marketing. Learn how AI and automation can support the customer acquisition efforts of a Lean Startup Dive into Customer Acquisition 3.0, an initiative for gaining and retaining customers Explore ways to use AI for marketing purposes Understand the key metrics for determining the growth of your startup Determine the right strategy to foster user acquisition in your company Manage the increased complexity and risk inherent in AI projects



The Startups Guide to Winning With Artificial Intelligence

Author : Bob Bakker

Publisher :

Page : 0 pages

File Size : 13,23 MB

Release : 2023-05-09

Category : Business & Economics

ISBN :

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Book Description

Are you a startup company looking to leverage the power of artificial intelligence (AI) but unsure where to begin? Or perhaps you've heard stories of others getting rich quick with AI and want to explore its potential for your own venture? Look no further - "The Startup's Guide to Winning with Artificial Intelligence" is the essential guide you need to navigate the complex world of AI and unlock its potential for your business. Inside "The Startups Guide to Winning With Artificial Intelligence," you'll discover: The basics of AI, machine learning, natural language processing, computer vision, and robotics. Strategies for developing an AI-driven culture and fostering innovation within your team. Tips for choosing the right AI technologies and tools that align with your business goals. Techniques for implementing AI in various aspects of your startup's operations, from customer experience to product development. Guidelines for collaborating with AI teams and vendors to ensure successful integration. Insights into the legal and ethical considerations of AI, including regulatory compliance and developing responsible AI policies. Metrics and methods for measuring AI success and ROI in your startup. Strategies for future-proofing your startup with AI, staying informed on emerging trends, and adapting to new technologies and challenges. With this book you'll gain the knowledge and confidence to embark on your AI journey, transform your startup's operations, and set the stage for long-term growth and success. Don't miss out on the opportunity to harness the incredible power of AI and join the ranks of those who are reaping the rewards of this game-changing technology. Order your copy today and take your startup to the next level! The book is divided into ten information-rich chapters, each addressing a critical aspect of AI implementation in startups: Introduction: Learn about the AI revolution, its significance for modern startups, and the difference between AI-adaptive and non-AI-adaptive startups. Basics of AI for Startups: Gain a solid foundation in AI concepts, including machine learning, natural language processing, computer vision, and robotics and automation. Developing an AI Strategy for Your Startup: Discover how to identify AI opportunities, align AI goals with your startup's vision, and prepare for AI adoption. Building an AI-Driven Culture: Uncover the secrets to fostering a data-driven environment, encouraging collaboration and innovation, and training and upskilling your team. Choosing the Right AI Technologies and Tools: Learn how to compare AI solutions and platforms, evaluate cost and scalability, and choose between open source and proprietary AI tools. Implementing AI in Your Startup's Operations: Explore practical use cases and onboarding strategies to enhance customer experience, streamline marketing and sales, optimize product development, and improve decision-making and forecasting. Collaborating with AI Teams and Vendors: Find out how to select the right AI partners, set clear expectations and goals, and ensure effective communication and integration. Legal and Ethical Considerations in AI: Navigate regulatory compliance, address ethical concerns, develop responsible AI policies, and lead in the age of AI. Measuring AI Success and ROI for Your Startup: Set key performance indicators, track AI implementation progress, calculate ROI, and evaluate AI impact and productivity. Future-Proofing Your Startup with AI: Stay informed on emerging AI trends, adapt to new AI technologies and challenges, leverage AI for long-term growth and success, and manage the life cycle of artificial intelligence.