Highlights of the conference included inspirational user case studies, educational product demonstrations, and new product announcements.
- By Philip Russom
- May 22, 2017
Is your organization using AI techniques that involve your data warehouse? If you want to add AI to your analytics, you'll need to distinguish authentic AI from marketing jargon.
- By Mike Schiff
- May 22, 2017
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