36 Disruptive AI Technology Trends For 2019-2020 by Shrikant Srivastava

“Medical Imaging and Diagnostics

Clinical Trial Enrollment

Improved Healthcare Biometrics

Efficient Drug Discovery

AI-based Search Technology

Checkout-Free Retail

Logistics for Warehouse

Peer-to-Peer Networks

Facial Recognition

Cyber Threat Hunting

Surveillance via Computer Vision

Self-Driving Vehicles

Traffic Management

Smart Tracks

Digital Number Plate For Vehicles

Predictive Maintenance & Algorithms

Computer Vision for Defect Detection

Collaboration of Humans & Robots

The Advent of Quality 4.0

Improved Visualization Technology

Real-world experience with Voice Assistants

Personalized Play for Each Gamer

Elevating Customer Experience

Advanced Hiring Process

Business Model Transformation

Credit Risk Assessment

Easy Fraud Detection

Safe Trading With Predictions

Auto-Claims Processing

Improving Social Networks

Empowering Marketers

Effective Audience Targeting

AI-supported Content Design

Internet of Things

Blockchain

Augmented Reality”

https://appinventiv.com/blog/ai-technology-trends/

CAGR of 55.6% from 2018 to 2025

Artificial Intelligence Market by Technology, and Industry Vertical – Global Opportunity Analysis and Industry Forecast, 2018-2025, the global Artificial Intelligence market size is expected to reach $169,411.8 million in 2025, from $4,065 million in 2016 growing at a CAGR of 55.6% from 2018 to 2025.

ARTIFICIAL INTELLIGENCE PREDICTIONS FOR THE YEAR 2019

  • Look to IBM, Google, Microsoft, Amazon and providers of Machine Learning APIs to release more inclusive datasets to combat embedded discrimination and bias in AI
  • Adoption of AI within healthcare and financial services will go up as products that make previously blackbox AI decisions more interpretable start to become mainstream
  • Algorithms v. algorithms. There will be successful AI-powered hacks of AI systems that go beyond “fake news”
  • Transfer learning and simulation become mainstream and help businesses overcome cold start problems and the high cost of amassing training data
  • Increasing demands for privacy will push more AI to happen on the edge and large internet giants will invest in edge AI to gain a competitive advantage

https://dataconomy.com/2018/12/artificial-intelligence-predictions-for-the-year-2019/h