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A comprehensive roadmap to using AI in your career and in your life

Artificial intelligence is everywhere. Major software organizations like Microsoft, Google, and Apple have built AI directly into products and invited the world to become part of the AI revolution. And it's impossible to use these tools to their fullest potential without understanding the basics of what AI is and what it can do.

Artificial Intelligence All-in-One For Dummies compiles insight from the expert authors of AI books in the For Dummies series to provide an easy-to-follow walkthrough for anyone interested in learning how to use AI. You'll learn how to put artificial intelligence to work for you and your company in a wide variety of situations, from creating office assistants to managing projects and marketing your products.

Inside the book:

How to prompt AI platforms like ChatGPT and Copilot while avoiding "hallucinations" and other bugs Strategies for adding artificial intelligence tools to your company's existing workflows to improve efficiency and generate new opportunities Techniques to improve your programming capabilities with AI or create new AI-powered tools

Perfect for professionals curious about the potential and pitfalls associated with generative artificial intelligence, Artificial Intelligence All-in-One For Dummies shows you exactly how AI works and how you can apply it in your own professional and personal life.

Tabla de contenidos provista por Syndetics

• Introduction(1)
• About This Book(2)
• Foolish Assumptions(3)
• Icons Used in This Book(4)
• Beyond the Book(4)
• Where to Go from Here(5)
• Book 1 Understanding AI Foundations(7)
• Chapter 1 Delving into What AI Means(9)
• Defining the Term AI(9)
• Discerning intelligence(10)
• Examining four ways to define AI(13)
• Reviewing AI categories(17)
• Understanding the History of AI(18)
• Considering AI Uses(19)
• Avoiding AI Hype and Overestimation(20)
• Defining the five tribes and the master algorithm(20)
• Considering sources of hype(21)
• Managing user overestimation(22)
• Connecting AI to the Underlying Computer(22)
• Chapter 2 Defining Data's Role in AI(25)
• Finding Data Ubiquitous in This Age(26)
• Using data everywhere(27)
• Putting algorithms into action(28)
• Using Data Successfully(30)
• Considering the data sources(30)
• Obtaining reliable data(31)
• Making human input more reliable(31)
• Using automated data collection(33)
• Collecting data ethically(33)
• Manicuring the Data(35)
• Dealing with missing data(35)
• Considering data misalignments(36)
• Separating useful data from other data(37)
• Considering the Five Mistruths in Data(37)
• Commission(38)
• Omission(38)
• Perspective(39)
• Bias(40)
• Frame of reference(41)
• Defining the Limits of Data Acquisition(41)
• Considering Data Security Issues(43)
• Understanding purposefully biased data(43)
• Dealing with data-source corruption(44)
• Handling botnets(45)
• Chapter 3 Considering the Use of Algorithms(47)
• Understanding the Role of Algorithms(48)
• Examining what an algorithm does(48)
• Planning and branching: Trees and nodes(50)
• Extending the tree using graph nodes(51)
• Traversing the graph(52)
• Playing adversarial games(54)
• Using local search and heuristics(55)
• Discovering the Learning Machine(58)
• Leveraging expert systems(59)
• Introducing machine learning(62)
• Achieving new heights(62)
• Chapter 4 Pioneering Specialized Hardware(65)
• Relying on Standard Hardware(65)
• Examining the standard hardware(66)
• Describing standard hardware deficiencies(66)
• Relying on new computational techniques(67)
• Using GPUs(68)
• Considering the von Neumann bottleneck(69)
• Defining the GPU(70)
• Considering why GPUs work well(71)
• Working with Deep Learning Processors (DLPs)(71)
• Defining the DLP(72)
• Using the mobile neural processing unit (NPU)(72)
• Accessing the cloud-based tensor processing unit (TPU)(73)
• Creating a Specialized Processing Environment(74)
• Increasing Hardware Capabilities(74)
• Advancing neuromorphic computing(75)
• Exploring quantum processors(76)
• Adding Specialized Sensors(76)
• Integrating AI with Advanced Sensor Technology(77)
• Devising Methods to Interact with the Environment(78)
• Chapter 5 Parsing Machine Learning and Deep Learning(81)
• Decoding Machine and Deep Learning(81)
• Defining key concepts(82)
• Thinking about neural networks(82)
• Training and testing models(85)
• Demystifying Natural-Language Processing(87)
• History of NLP(88)
• Overcoming the challenges of NLP(89)
• Understanding Transformers(91)
• Learning to pay attention(92)
• Getting tokens(93)
• Illuminating Generative AI Models(95)
• Recognizing AI's Limitations(96)
• Language models are bad at math(96)
• Language models are wordy(97)
• AI has limited knowledge(98)
• AI lacks common sense(98)
• AI has accuracy issues(98)
• AI has the potential to be biased(99)
• Chapter 6 Upholding Responsible AI Standards in GenAI Use(101)
• Achieving Originality and Excellence in GenAI-Generated Content(101)
• Strategies for ensuring originality in GenAI creations(102)
• Maintaining quality standards in GenAI outputs(105)
• Applying Journalism Ethics to GenAI-Generated Content(106)
• Following basic journalistic principles(107)
• Adhering to truth and integrity in GenAI-assisted reporting(108)
• Balancing speed with ethical considerations in GenAI content generation(109)
• Joining the Responsible AI Movement(110)
• Understanding the goals of the responsible AI movement(110)
• Contributing to ethical AI development and use(111)
• Aligning with global efforts for responsible AI practices(112)
• Chapter 7 Finding Job Security in an AI World(115)
• Identifying Tasks That AI Can't Replace(115)
• Cultivating emotional intelligence and human interaction(116)
• Sparking creative and strategic thinking(116)
• Engaging in jobs of the future(118)
• Discovering new roles that use AI(119)
• Upskilling for AI-Proof Jobs(119)
• Translating Your Current Skills into AI-Proof Roles(121)
• Analyzing skills transferability(122)
• Understanding role evolution and adaptation(123)
• Presenting the AI-resilient career journey(124)
• Navigating Career Transitions(125)
• Adapting to new realities(125)
• Shifting professional landscapes(126)
• Steering clear of pitfalls(127)
• Becoming an Early Adopter(128)
• Adopting new technologies(128)
• Utilizing AI for thought leadership(129)
• Gaining a competitive advantage through innovation(130)
• Book 2 Prompting and Generative AI Techniques(131)
• Chapter 1 Mapping the Lay of the Generative AI Land(133)
• So, What Exactly Is Generative AI?(133)
• Understanding parameters(134)
• How GenAI uses parameters(134)
• Unveiling the BIG Secret to Working Successfully with GenAI(136)
• Understanding the Infamous Finger Problem and Other GenAI Quirks(139)
• Figuring Out How to Work with GenAI - It's All About Your Prompts(140)
• Why GenAI appears so human(140)
• Realizing the human influences behind generative AI's abilities(142)
• Discovering the Differences in GenAI Models and Options(143)
• Checking Out Practical Uses of GenAI(145)
• Separating Gen AI Fact from Fiction(147)
• Chapter 2 Introducing the Art of Prompt Engineering(149)
• First Things First: What Is a Prompt?(149)
• Revealing the Secret Behind Successful Prompting(151)
• Discovering the secret sauce in prompt engineering(151)
• Understanding how prompts guide GenAI responses(152)
• Crafting Effective Prompts for Diverse AI Applications(154)
• Tips and Tricks for Optimizing Your Prompts(156)
• Using Prompts to Provide Supplemental Data for the Model(157)
• Avoiding Common Prompting Pitfalls(158)
• Chapter 3 Navigating the Evolving Landscape of GenAI(161)
• Identifying Key Players and Evaluating GenAI Providers(162)
• Who's who in the GenAI market(162)
• Assessing GenAI services and solutions(166)
• Getting GenAI that Plays Nice with Other Technologies(167)
• Integrating ChatGPT with other software(167)
• Bringing in autonomous AI agents(169)
• Keeping Up with the Pace of GenAI Advancements(170)
• Staying informed on GenAI trends(170)
• Preparing for the future of generative AI(172)
• Chapter 4 Introducing ChatGPT(175)
• Comparing Different Account Versions of ChatGPT(176)
• Setting Up an Individual Account(176)
• Touring the User Interface(178)
• Selecting a GPT Model on the ChatGPT UI(182)
• Model options in the drop-down menu(182)
• The GPT's latest release(183)
• Considering GPT Minis in the GPT Store on the ChatGPT UI(184)
• Rendering ChatGPT Outputs to Final Forms(185)
• Chapter 5 Getting Started with Microsoft Copilot(189)
• Defining Copilot(189)
• Overview of Microsoft Copilot(191)
• Understanding how Copilot works(193)
• Integration with Microsoft 365 apps(194)
• Signing Up for Copilot(195)
• Installing Copilot(196)
• Eligibility criteria(196)
• Subscription plans and pricing(196)
• Step-by-step sign-up process(198)
• Taking Copilot for a Test Flight(201)
• Understanding why mine looks different(201)
• Prompting and interacting(201)
• Chapter 6 Learning Advanced Prompting(203)
• Starting at the End: Defining Desired Outputs before Prompting(203)
• Managing Data for Targeted Impact on Outputs(205)
• Adding Data to Prompts(207)
• Using image inputs in ChatGPT prompts(208)
• Adding information to memory in ChatGPT(214)
• Manipulating memory in ChatGPT(216)
• Changing the Model's Temperature(220)
• Changing the Model's Weights(220)
• Book 3 Increasing Productivity With AI(223)
• Chapter 1 Applying GenAI in Practical Scenarios(225)
• GenAI as Writing Assistant(225)
• Using GenAI to generate ideas(226)
• Drafting content with the help of GenAI(227)
• Sprucing up your writing with GenAI(230)
• Getting a Visual Assist from GenAI(231)
• GenAI in graphic design and visual arts(232)
• Generating visual content with AI tools(232)
• Harnessing GenAI for even more visual creativity(234)
• Problem-Solving with AI in Creative Projects(234)
• Chapter 2 Crunching the Numbers with Copilot(237)
• Launching Copilot in Excel(238)
• Working with Data(239)
• Understanding the two kinds of data(239)
• Finding free data(240)
• Preparing the Data(241)
• Converting the data to a table(241)
• Adding context to the headers(242)
• Formatting data(245)
• Changing data types(246)
• Sorting data(247)
• Cleaning data(248)
• Automating Data Analysis(250)
• Using Copilot for automated insights(250)
• Asking for a specific analysis(252)
• Creating Formulas with Copilot's Assistance(253)
• Formula creation and troubleshooting(254)
• Advanced formula techniques(256)
• Visualizing Data with Copilot(256)
• Opening and cleaning data in Excel(257)
• Creating charts and graphs(258)
• Customizing charts(260)
• Considering Copilot's Limitations in Excel(261)
• Chapter 3 Presenting with Copilot(263)
• Interacting with Copilot in PowerPoint(263)
• Using Copilot's built-in PowerPoint actions(264)
• Defining and refining your topic(265)
• Personalizing the idea(267)
• Evaluating the generated presentation(268)
• Evaluating the generated content(269)
• Evaluating the generated design(269)
• Evaluating the use of images(270)
• Designing Slides with Designer(271)
• Redesigning Slides with Copilot(272)
• Sticking to the Built-in Prompts(273)
• Enhancing visual appeal(274)
• Prompting for images(274)
• Organizing a Presentation(277)
• Practicing Your Presentation with Copilot Feedback(277)
• Chapter 4 Meeting and Collaborating with Copilot(281)
• Using Copilot in Microsoft Teams(282)
• Preparing for and setting up meetings(283)
• Getting real-time meeting assistance(286)
• Accessing post-meeting summaries(288)
• Understanding the Limitations of Copilot in Teams(290)
• Chapter 5 Working with AI in a Roundup of Business Disciplines(293)
• Using GenAI for Marketing(293)
• Creating general to detailed content(294)
• Analyzing customer data(294)
• Retrieving Smart Answers for HR(295)
• Harnessing GenAI in Legal(297)
• Drafting and editing a routine legal document(298)
• Researching for legal precedents and statutes(301)
• Drafting client responses or legal arguments(301)
• Monitoring your GenAI use(302)
• Storytelling in Journalism(302)
• Exploring politics and current issues(303)
• Prompting AI for facts, figures, and summaries(303)
• Organizing notes and pitching a story(304)
• Preparing interview questions, translating, and promoting(306)
• Checking your GenAI history(307)
• Consulting GenAI in Healthcare(307)
• Identifying successful healthcare use cases(307)
• Exploring other GenAI applications in healthcare(309)
• Cashing In on GenAI in Finance(310)
• Using GenAI in IT Operations(312)
• Examining New Businesses Based on GenAI(313)
• Book 4 Creating Content With AI(333)
• Chapter 1 Using AI for Ideation and Planning(335)
• Engaging AI to Ideate on Behalf of Human Beings(336)
• Deciding Whether AI Hallucinations Are a Feature or a Bug(339)
• Bringing in unexpected ideas and concepts(340)
• Branching out with non-traditional storytelling(340)
• Facilitating testing and experimentation(341)
• Staying the course with generative AI(342)
• Following Practical Steps for Idea Generation with AI(342)
• Starting with the right prompts(342)
• Stepping through an AI-for-ideation exercise(343)
• Deciding on AI Ideation Tools to Use(345)
• Chapter 2 Managing and Writing Emails with AI(349)
• Using AI as Your Assistant for Writing Emails(350)
• Generating Precise Prompts(352)
• Emailing with Copilot(352)
• Summarizing with Copilot(353)
• Summarizing email threads(353)
• Summarizing long emails(355)
• Composing Emails with Copilot(356)
• Drafting emails with Copilot(356)
• Reply suggestions(359)
• Email coaching(359)
• Meeting management(361)
• Using GenAI for Email with Discernment(362)
• Chapter 3 Developing Creative Assets(363)
• Trying Out an AI-Generated Where's Waldo? Illustration(364)
• Exploring an Approach for Creating Visual Assets with AI(365)
• Minding the integrity of your customers, data, and teams(369)
• Examining an example scenario(370)
• Enhancing Existing Creative Assets(371)
• Enhancing and restoring images(371)
• Enhancing and clarifying audio(371)
• Analyzing and editing video(372)
• Adding and modifying content(372)
• Fine-Tuning Creativity with AI Tools and Techniques(373)
• Crafting descriptions for image creation(374)
• Automating creative production(375)
• Tips and tricks for producing attention-grabbing creative assets(377)
• Choosing AI Tools for Creating Visual Assets(379)
• Chapter 4 Producing Long-Form Content(381)
• Writing Academic Papers with GenAI Assistance(382)
• Using GenAI for research and academic writing(382)
• Supporting the academic publication process(387)
• Developing White Papers and Reports Using Generative AI(388)
• Crafting professional documents with AI support(389)
• Enhancing business communication with AI(390)
• Crafting Research Designs and Outlines with GenAI(391)
• Structuring research projects with AI(392)
• From concept to outline: GenAI as a planning tool(393)
• Integrating Citations and References(394)
• GenAI-assisted reference management(395)
• Ensuring academic integrity with GenAI(395)
• Producing Long-Form Articles with GenAI(396)
• Techniques for GenAI-enhanced feature writing(397)
• Maintaining depth and quality in GenAI-assisted articles(398)
• Writing Books with GenAI(399)
• Chapter 5 Search Engine Optimization (SEO) in the AI Era(403)
• Describing Search Generative Experiences (SGEs)(404)
• Enhanced interpretation of queries(405)
• Personalized search results(405)
• Strategies for SEO Success in the AI Era(406)
• Enhancing the User Experience with AI(409)
• Maximizing Your SEO Efforts(411)
• Streamlining keyword and metadata research(411)
• Automating content optimization(413)
• Building SEO links(414)
• Harnessing predictive SEO(415)
• Knowing the AI Tools to Use with SEO(416)
• Chapter 6 Fine-Tuning Content with Localization and Translation(419)
• Exploiting AI for Localization and Translation(420)
• Capturing cultural context(420)
• Harnessing multilingual large language models(421)
• Applying AI's capabilities(423)
• Checking out AI tools you can use(424)
• Adopting Core Strategies for Localization(426)
• Leveraging machine learning(426)
• Adopting AI-driven cultural adaptation tools(427)
• Enhancing personalization and localization efficiency(428)
• Controlling quality when using AI(428)
• Examining Real-Time Localization and Translation Solutions(429)
• Seeing how real-time solutions work(430)
• Recognizing the benefits of real-time solutions(431)
• Applying real-time solutions in marketing(431)
• Book 5 AI at Home(433)
• Chapter 1 Relying on AI to Improve Human Interaction(435)
• Developing New Ways to Communicate(436)
• Creating new alphabets(437)
• Working with emojis and other meaningful graphics(437)
• Automating language translation(438)
• Incorporating body language(439)
• Exchanging Ideas(440)
• Creating connections(440)
• Augmenting communication(440)
• Defining trends(441)
• Using Multimedia(441)
• Embellishing Human Sensory Perception(442)
• Shifting data spectrum(443)
• Augmenting human senses(443)
• Chapter 2 Using AI to Address Medical Needs(445)
• Implementing Portable Patient Monitoring(446)
• Wearing helpful monitors(446)
• Relying on critical wearable monitors(447)
• Using movable monitors(448)
• Making Humans More Capable(449)
• Using games for therapy(449)
• Considering the use of exoskeletons(451)
• Addressing Special Needs(452)
• Considering the software-based solutions(453)
• Relying on hardware augmentation(453)
• Completing Analysis in New Ways(454)
• Relying on Telepresence(455)
• Defining telepresence(455)
• Considering examples of telepresence(456)
• Understanding telepresence limitations(456)
• Devising New Surgical Techniques(457)
• Making surgical suggestions(457)
• Assisting a surgeon(458)
• Replacing the surgeon with monitoring(459)
• Performing Tasks Using Automation(459)
• Working with medical records(460)
• Predicting the future(460)
• Making procedures safer(461)
• Creating better medications(461)
• Combining Robots and Medical Professionals(462)
• Considering Disruptions That AI Causes for Medical Professionals(462)
• Chapter 3 Leveraging AI in Education(465)
• Using AI Is Here to Stay(466)
• Avoiding false accusations of cheating(466)
• Accepting the role of AI at school and work(467)
• Changing the Structure of Education(467)
• Using AI in tutoring, testing, and updating curriculum(468)
• Preparing for shifts in educator roles(468)
• Flipping the Teaching Model(470)
• Leveraging GenAI to Aid Overworked Educators(472)
• Getting help with grading assignments(472)
• Exploiting AI for efficient mentoring(473)
• Adapting lessons and admin tasks(473)
• Changing How Subjects Are Taught(474)
• Providing safer spaces for learning(474)
• Learning collaboratively(475)
• Supporting Special Education Needs(476)
• Delivering Data-Driven Insights for Educators(477)
• Using GenAI tools for efficiency(477)
• Questionable student progress tracking(478)
• Banning GenAI Stifles Education(478)
• Adopting a nuanced approach to AI(479)
• Preparing students for the future(479)
• Chapter 4 Using GenAI in the Real World(481)
• Dying Keywords(482)
• Diminishing website traffic fallout(482)
• Evolving SEO tactics(483)
• Over-relying on AI-curated information(483)
• Moving from Information Search to Knowledge Assistants(484)
• Finding new purposes for knowledge assistants(484)
• Noting the pros and cons of knowledge assistants(485)
• Living with Misinformation and Manipulation(485)
• Narrowing Options(487)
• Recognizing the limitations of GenAI info(487)
• Looking only for confirmation(487)
• Exploiting varied information sources(488)
• Your Brain on GenAI(488)
• Effects of GenAI on thinking skills(489)
• Effects of AI tools on interpersonal skills(489)
• Protecting yourself from GenAI fallout(490)
• Chapter 5 Financial Planning and Other Money Matters(491)
• Walking through the Stages of Financial Planning(492)
• Getting a Handle on Budgeting(496)
• Spotlighting College Expenses(499)
• Chapter 6 Retirement and Estate Planning(501)
• Digging into Retirement Planning(501)
• Your starting point: A personal balance sheet(502)
• The "5-10 approach" and a reality check(504)
• A helpful checklist(506)
• Even more AI retirement planning prompts(509)
• Thinking about Estate Planning(511)
• Defining "estate planning"(511)
• Beginning the estate planning process(513)
• Book 6 Applying AI in Coding(517)
• Chapter 1 How Coding Benefits from AI(519)
• Banishing Boring Tasks(519)
• Spotting boring tasks(520)
• Letting AI write the template(520)
• Crafting CRUD with AI(523)
• Helping with Syntax(529)
• Stop remembering trivial details(530)
• Hinting at code mastery(530)
• Adapting to new syntax(532)
• Linting with AI(534)
• Detecting bad code with static code analysis(534)
• Integrating AI with static code analysis(535)
• Using AI as a Tutor(536)
• Studying AI's potential in education(536)
• Avoiding potential pitfalls(536)
• Pairing Up with AI(537)
• Overview of pair programming styles(537)
• Understanding the pros and cons of pair programming with AI(537)
• AI pair programming session(538)
• Chapter 2 AI Coding Tools(547)
• Navigating GitHub Copilot(547)
• Installing the Copilot plug-in(548)
• Working efficiently with Copilot(549)
• Using keyboard shortcuts(554)
• Exploring Tabnine(555)
• Installing Tabnine(556)
• Setting up Tabnine(557)
• Understanding Tabnine's AI-driven code completion(558)
• Reviewing Replit(559)
• Starting a website with Replit(561)
• Exploring the Replit workspace(562)
• Pairing up with Replit AI(565)
• Chapter 3 Coding with Chatbots(571)
• Improving Your Prompts(571)
• Adjusting the temperature(572)
• Deciphering the elements of a prompt(574)
• Open-ended versus closed-ended prompts(575)
• Using different types of prompts(575)
• Prompting like a pro(578)
• Chatting with Github Copilot(579)
• Understanding slash commands(579)
• Knowing Copilot's agents(580)
• Getting the most out of Copilot Chat(580)
• Chatting with ChatGPT(582)
• Signing up and setting up(583)
• Setting custom instructions(584)
• Diving into the OpenAI Platform(588)
• Checking your credits(589)
• Messing around in the Playground(590)
• Running examples(591)
• Playing the roles(592)
• Adjusting the model's settings(592)
• Getting an API key(594)
• Developing a Chatbot with OpenAI(595)
• Chapter 4 Progressing from Plan to Prototype(601)
• Understanding Project Requirements(601)
• Determining the software requirements(602)
• Domain requirements(602)
• Functional requirements(603)
• Non-functional requirements(604)
• Writing an SRS(605)
• Generating Code from an SRS(608)
• Using a zero-shot approach(608)
• Breaking down the problem(610)
• Blending Manually Written and AI-Generated Code(611)
• Writing the prompt(611)
• Writing the server(612)
• Submitting follow-up prompts(615)
• Testing the server(615)
• Implementing few-shot prompting on the server(617)
• Improving the client(621)
• Moving logic from AI to the client(624)
• Tips and Tricks for Code Generation(627)
• Don't stop coding(627)
• Be specific(627)
• Think in steps(627)
• Ask follow-up questions(628)
• Check the official documentation(628)
• Use examples and context(628)
• Prioritize security(628)
• Keep learning(628)
• Keep your tools updated(629)
• Be mindful of AI's limitations(629)
• Book 7 Creating Custom AI Solutions(631)
• Chapter 1 Personalizing the Customer Journey by Using AI(633)
• Discovering the Customer Journey(634)
• Taking the customer journey(634)
• Examining touch points(635)
• Introducing AI Personalization(635)
• Delivering personalized content(636)
• Personalizing the journey with AI(636)
• Benefitting from AI Tools for the Customer Journey(637)
• Determining How Customers Feel(638)
• Understanding sentiment analysis(638)
• Evaluating emotions across the customer journey(639)
• Creating assets using sentiment analysis data(639)
• Providing What Customers Want(640)
• Understanding recommendation engines(640)
• Improving the customer journey with recommendations(641)
• Creating assets with recommendation engine data(642)
• Predicting What Customers Will Do(642)
• Utilizing predictive analytics(642)
• Optimizing the customer journey(643)
• Creating assets with predictive analytics data(643)
• Delivering Information Customers Need(644)
• Utilizing chatbots and virtual assistants(644)
• Self-service along the customer journey(645)
• Creating assets using chatbots(645)
• Automating the Delivery of Content(646)
• Viewing AI marketing automation(646)
• Observing data-driven personalization(646)
• Automating across the customer journey(646)
• Creating assets and delivering them with marketing automation(647)
• Chapter 2 Boosting Online Business Growth with AI(649)
• Outsmarting Your Competitors(650)
• Analyzing competitor keywords(650)
• Discovering traffic sources(651)
• Monitoring ad spending(652)
• Analyzing social media performance(653)
• Enhancing Brand Building(653)
• Refining visual brand identities(653)
• Crafting strong brand messaging(654)
• Defining brand voice and tone(654)
• Maximizing Conversions(655)
• Understanding the segmentation of audiences(655)
• Personalizing content(657)
• Scaling Paid Advertising ROI(657)
• Selecting keywords(658)
• Optimizing bids(658)
• Creating ad copy(658)
• Personalizing and testing(658)
• Considering the pros and cons(659)
• Tracking Key Performance Indicators with AI(661)
• Innovating New Offers(662)
• Trend forecasting(662)
• Generating creative concepts(663)
• Refining your innovation(663)
• Chapter 3 Enhancing Customer Service with Conversational AI Chatbots(665)
• Finding Out about Conversational AI Chatbots(666)
• Understanding the process(666)
• Defining the differences between conversational AI chatbots and ChatGPT(667)
• Visualizing the differences(667)
• Benefitting from Conversational AI Chatbots for Customer Service(668)
• Constructing Conversational AI Chatbots(670)
• Measuring the Return on Investment of Conversational AI Chatbots(671)
• Improving customer service efficiency(671)
• Reducing operational costs(671)
• Boosting sales conversion rates(671)
• Enhancing lead generation(672)
• Tracking engagement metrics(672)
• Increasing resolution rate(672)
• Ensuring accuracy(672)
• Integrating Conversational AI Chatbots into Existing Systems(673)
• Personalizing Customer Interactions(674)
• Improving the shopping experience(675)
• Ensuring ethical personalization(675)
• Using Chatbots with Human and AI Collaboration(675)
• Understanding the hybrid model(676)
• Collaborating with agents and chatbots(676)
• Considering Best Practices(676)
• Reviewing Options for Creating Chatbots(678)
• Chapter 4 Making Custom Copilots(681)
• Building Your Own Copilot Agent with Copilot Studio(681)
• Creating agents by prompting(686)
• Creating agents with templates(688)
• Testing and Editing Your Agent(690)
• Configuring generative AI(690)
• Using the Copilot Agent Editor(691)
• Publishing Your Agent(703)
• Chapter 5 Expanding Copilot's Capabilities with Plugins(705)
• Using Plugins Wisely(705)
• Understanding orchestration(706)
• Knowing the limitations of LLMs(706)
• Enhancing functionality with plugins(707)
• Two types of plugins(708)
• Creating a Copilot Plugin(708)
• Seeing Examples of Plugins(712)
• Where can plugins be used?(714)
• Popular plugins for Copilot in Teams(714)
• Considering the Future of Plugins(716)
• Index(717)

Notas de autor provistas por Syndetics

This collection gathers the work of top authors of AI topics in the For Dummies series including Chris Minnick, author of Coding with AI For Dummies; John Paul Mueller, Luca Massaron and Stephanie Diamond, co-authors of Artificial Intelligence For Dummies, 3rd Edition; Pam Baker, author of ChatGPT For Dummies; Shiv Singh, author of Marketing with AI For Dummies; Daniel Stanton, author of Project Management with AI For Dummies; Paul Mladjenovic, author of AI Investing For Dummies ; Sheryl Lindsell-Roberts, author of Business Writing with AI For Dummies ; and Jeffrey Allan, co-author of Writing AI Prompts For Dummies .