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Successful AI Product Creation
book

Successful AI Product Creation

by Shub Agarwal
April 2025
Beginner to intermediate
304 pages
7h 42m
English
Wiley
Content preview from Successful AI Product Creation

Index

A

  • A/B testing, 134
  • acceptance criteria, for AI
    • about, 121–123, 259
    • case studies, 138–145
    • defining functional requirements and performance standards, 123–125
    • developing ramp-up plans for AI deployments, 128–136
    • in generative AI, 135–138
    • managing data quality, scalability, and compliance, 125–128
    • in traditional AI, 135–138
  • accessibility, 226, 228–229
  • accountability, 171, 173, 175
  • accuracy, 21, 181, 253
  • achievability, 161
  • active learning, 131, 157, 259
  • adaptability, 21, 56, 71–72, 162, 225
  • adaptive learning, model operations and, 199
  • advanced AI, 39–41, 157
  • agentic AI, 220, 242
  • agriculture industry, precision farming in, 16–17
  • AI product creators, 182
  • AI product manager (AI PM), 4, 179, 259
  • AI-created data, historical data compared with, 20
  • AI-driven customer service chatbots, 49–50
  • AI-driven diagnostic tools, in healthcare industry, 13–14
  • AI-driven recommendations, enhancing e-commerce with, 64
  • AI-UX product manager (AI-UXPM), 222–223, 225, 228, 259
  • alerting systems, model operations and, 198
  • algorithm development, 151, 163, 167, 259
  • algorithmic bias, 178, 259
  • algorithms, 45, 114–116, 165, 179
  • Amara's Law, 236, 243
  • Amazon, 14–15, 36
  • Amazon SageMaker, 32
  • Amazon Web Services, 32
  • Annalise.ai, 14
  • anomaly detection, 198, 202, 259
  • anonymization, data collection and, 204
  • Anthropic Claude, 221, 222, 248
  • Apache NiFi, 206–207
  • API integration, 198, 259
  • API standards, 128
  • applications, 26, 27
  • area under the curve (AUC), 107, 260
  • artificial general intelligence (AGI), 39–41
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Publisher Resources

ISBN: 9781394337842Purchase Link