Artificial intelligence : an executive guide to make AI work for your business / David E. Sweenor.
Material type:
TextPublisher: South Burlington, Vermont : TinyTechMedia, 2022Description: xiv, 162 pages ; 21 cmContent type: - text
- unmediated
- volume
- 9798985822700
- 006.3 Sw35a
- QA76.3 .S96 2022
| Item type | Current library | Shelving location | Call number | Copy number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|---|
Books
|
Main Library | Graduate School Library | GRD 006.3 Sw35a 2022 (Browse shelf(Opens below)) | 1-2 | Available | 030306 | ||
Books
|
Main Library | Graduate School Library | GRD 006.3 Sw35a 2022 (Browse shelf(Opens below)) | 2-2 | Available | 030307 |
Browsing Main Library shelves, Shelving location: Graduate School Library Close shelf browser (Hides shelf browser)
Includes bibliographical references and index.
Introduction -- Who is this book for? -- How is this book organized? -- What is artificial intelligence? -- How does AI work? -- Where is AI being used? -- Why are companies adopting AI? -- getting started with AI -- Ethical considerations -- Summary -- Chapter 1 references -- What is artificial intelligence? -- Analytics 101 -- AI defined -- AI, machine learning, and deep learning -- AI patterns and use cases -- Summary -- Chapter 2 references -- How does AI work? -- Data is the foundation for AI -- Categories of data -- AI technologies -- Intelligent document processing (IDP) -- Automation Technologies -- AI Ops -- Summary -- Chapter 3 references -- Who uses AI? -- AI across departments -- AI across industries -- Summary -- Chapter 4 references -- Why is AI used? -- Digital decisions -- Why analytics and automation? -- Summary -- Chapter 5 references -- How to get started with AI? -- Understand your endgame -- Establish a culture of analytics -- Empower an AI tiger team -- Innovation-oriented cultures -- Invest in analytics and data literacy -- What do high-performing companies do differently? -- Summary -- Chapter 6 references -- Ethical considerations -- Don't be creepy -- Fairness and bias -- Transparent and explainable -- Data ethics -- GDPR -- Ethical frameworks -- Summary -- Chapter 7 references -- The Road ahead -- Be SMART and determine your strategic direction -- Reimagine your business processes -- Create a culture of analytics and upskill employees -- Understand and mitigate the risks -- Design thinking -- Using AI for good -- A bright future -- Chapter 8 references.
"Artificial intelligence: an executive guide to make AI work for your business is designed for non-experts - it's for business teams, business leaders, and executives who never seem to have enough time in the day to learn about the latest technology trends. TinyTechGuides are meant to be read in under two hours and focus on the application of technologies in business, government, and educational settings."
There are no comments on this title.