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Artificial Intelligence 101: a beginners guide to machine learning, deep learning and associated algorithms and technologies

  • AI
  • artificial intelligence
  • ML
  • machine learning
  • deep learning
  • AGI
  • supervised
  • unsupervised
  • reinforcement
  • neural networks
  • Matt Hatton
Artificial Intelligence (AI) is one of the most cutting edge and potentially transformational fields of technology today. Developments in the field, aimed at imitating and even exceeding human intelligence, promise to revolutionise numerous fields within enterprises of all kinds.

Artificial Intelligence (AI) is one of the most cutting edge and potentially transformational fields of technology today. Developments in the field, aimed at imitating and even exceeding human intelligence, promise to revolutionise numerous fields within enterprises of all kinds. Current implementations of Machine Learning (ML) are only scratching the surface of what can be achieved. Financial, healthcare, legal and security applications are bursting onto the market, while the use of natural language processing (NLP) is permeating into everyday life courtesy of bots and digital assistants. The promise of AI in terms of efficiency savings is enormous.

However, progress is uncertain. The long term evolution of AI since the 1950s has been stop-start. Thanks to unprecedented access to cheap compute power we are currently in the middle of a boom, as major technology vendors seek to exploit the recent advances in Deep Learning. But a new AI Winter may be just around the corner. Add to that challenges with regulation and potential backlash over AI bias, and the route to profitable use of AI is not guaranteed.

This Technology Insight Report provides an overview of Artificial Intelligence technologies, including Machine Learning, Deep Learning and all the associated algorithms and platforms. It describes the overall market dynamics for AI technologies, including market size and development trajectory, use cases, best practices, and recent market developments. The report explores the vendor landscape for AI, innovative players, vendor selection criteria, and highlights opportunities and risks for end users.

The report also includes an analysis of the key solution characteristics of relevant case studies contained in Transforma Insights’ Best Practice & Vendor Selection database, including payback time, process efficiency and value proposition impact, and a range of technology-specific characteristics.

  • Aeye
  • Amazon
  • Amazon Web Services
  • Apple
  • Darktrace
  • Dataiku
  • DataRobot
  • Google
  • Graphcore
  • H2O.ai
  • Hailo
  • IBM
  • Intel
  • Microsoft
  • Tencent
  • Artificial Intelligence