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Artificial Intelligence for Business
book

Artificial Intelligence for Business

by Jason L. Anderson, Jeffrey L. Coveyduc
April 2020
Intermediate to advanced
240 pages
5h 42m
English
Wiley
Content preview from Artificial Intelligence for Business

Index

  • 20 percent rule (Google), 24
  • 100 percent test coverage, 124
  • A
  • Acceptance, 125f
  • Access
    • control systems, 87
    • methods, 75–76
  • Accountability, 181
  • Ackerson, Chris, 169–172
  • Advanced Encryption Standard (AES), 91
  • Agile, 101
    • framework, 103
      • application, 164
    • process, 68
    • term, usage, 48
    • user stories, generation, 59
    • weakening, 136–137
  • Akolkar, Rahul, 183–186
  • Algorithms, public appearance, 159
  • AlphaSense, 170
  • Amazon Web Services (AWS), 111, 167
  • Analytics software, 82
  • Apache Hadoop, usage, 8, 85
  • Apache JMeter, 132
  • Application code, promotion, 121f
  • Application programming interface (API), 75
    • internal APIs, 112
    • programmatic calls, 124
    • usage, 110–111
  • Artificial Intelligence (AI)
    • adoption, 6–10, 98, 172
    • advances, 171, 174, 176, 178, 181, 185, 188
    • AI-focused meetups, 144
    • algorithm, usage, 6
    • assistance, job function target, 172, 174, 176, 178, 182, 186, 188
    • benefits, 175
    • Bin-Picking product, model reliance, 3
    • capabilities, 64
      • overestimation, problem, 45, 196
    • chatbots, avoidance, 43
    • Cloud Services catalog, sample (IBM), 111f
    • data consumption, 58–59
    • deep learning (relationship), Venn diagram (usage), 21f
    • development, 157
    • expertise, 184, 187
    • experts, 169
    • focus, narrowness, 44
    • implementation, process, 164–165
    • lifecycle, 10, 51, 139, 167–168
      • pitfalls, 159–161, 206–207
      • roadmap action checklist, 193
    • limitations, 41–44
    • pitfalls, 44–45
    • potential, 163
    • power/responsibility, 158–159
    • project plan, building, 64
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Publisher Resources

ISBN: 9781119651734Purchase book