Many of the products and services Google showcased at I/O 2017 seemed consumer-oriented, but their potential for transforming business is clear, such as TensorFlowLite, a new, mobile-optimized version of Google's hugely popular machine-learning framework.
New malware risks thousands of IoT cameras, an argument for open source data management, and distinguishing between machine learning, deep learning, and AI.
- By Lindsay Stares
- May 18, 2017
Data ingestion is a process that needs to benefit from emerging analytics and AI techniques.
- By Brian J. Dooley
- May 12, 2017
Inspirational quotes for aspiring data scientists, how neural networks power extraterrestrial exploration, and why cybersecurity is now important in major sports.
- By Lindsay Stares
- May 9, 2017
Algorithms may not be as impartial as we think. Avoiding problems with algorithms will demand collaboration and novel thinking across your entire organization.
- By Barry Devlin
- May 9, 2017
Evaluating text with AI and machine learning may not be sufficient to identify "fake news."
- By Brian J. Dooley
- May 8, 2017
If your enterprise needs to move to real-time analytics and incorporate the benefits of AI, these three trends are worth your attention.
- By James Mesney
- May 2, 2017
AI algorithms must be well understood if enterprises are to shield their analytics results from bias.
- By Brian J. Dooley
- May 1, 2017