artificial intelligence

Designing ethical artificial intelligence

Designing ethical artificial intelligence

December 10, 2019

Artificial intelligence systems are powerful agents of change in our society, but as this technology becomes increasingly prevalenttransforming our understanding of ourselves and our societyissues around ethics and regulation will arise. Jivan Virdee and Hollie Lubbock explore how to address fairness, accountability, and the long-term effects on our society when designing with data.
Learning how to design automatically updating AI with Apache Kafka and Deeplearning4j

Learning how to design automatically updating AI with Apache Kafka and Deeplearning4j

December 7, 2019

Jason Bell offers an overview of a self-learning knowledge system that uses Apache Kafka and Deeplearning4j to accept data, apply training to a neural network, and output predictions. Jason covers the system design and the rationale behind it and the implications of using a streaming data with deep learning and artificial intelligence.
Operationalize deep learning models for fraud detection with Azure Machine Learning Workbench

Operationalize deep learning models for fraud detection with Azure Machine Learning Workbench

December 6, 2019

Advancements in computing technologies and ecommerce platforms have amplified the risk of online fraud, which results in billions of dollars of loss for the financial industry. This trend has urged companies to consider AI techniques, including deep learning, for fraud detection. Francesca Lazzeri and Jaya Mathew explain how to operationalize deep learning models with Azure ML to prevent fraud.
Modernizing the healthcare industry with AI

Modernizing the healthcare industry with AI

December 3, 2019

Artificial intelligence is transforming every industry, but the role it will play in healthcare is profound. Arjun Bansal explains how AI can give physicians new insights and speed time to diagnosis by leveraging vast amounts of healthcare data and how it can reduce the time and money spent to develop new medicines.
Smart diagnosis in healthcare with deep learning

Smart diagnosis in healthcare with deep learning

December 3, 2019

Deep learning with ConvNet in particular has emerged as a promising tool in medical research labs and diagnostic centers to help analyze images and scans, and systems are now surpassing human capability for manual inspection. Nishant Sahay explains how to apply deep learning to analyze high-end microscope images and X-ray scans to provide accurate diagnosis.

December 1, 2019

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: Artificial intelligence in autonomous vehicle systems

: Artificial intelligence in autonomous vehicle systems

December 1, 2019

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Automating business insights through artificial intelligence

Automating business insights through artificial intelligence

November 29, 2019

Decision makers are busy. Businesses can hire people to analyze data for them, but most companies are resource constrained and cant hire a small army to look through all their data. Wayde Fleener explains how General Mills implemented automation to enable decision makers to quickly focus on the metrics that matter and cut through everything else that does not.
Progressive data governance for emerging technologies

Progressive data governance for emerging technologies

November 21, 2019

Emerging technologies such as the IoT, AI, and ML present businesses with enormous opportunities for innovation, but to maximize the potential of these technologies, businesses must radically shift their approach to governance. Anne Buff explains what it takes to shift the focus of governance from standards, conformity, and control to accountability, extensibility, and enablement.
Using deep learning to solve challenging problems

Using deep learning to solve challenging problems

November 20, 2019

The Google Brain team conducts research on difficult problems in artificial intelligence and builds large-scale computer systems for machine learning research, both of which have been applied to dozens of Google products. Jeff Dean highlights some of Google Brain's projects with an eye toward how they can be used to solve challenging problems.
What separates the clouds? (sponsored by Google Cloud)

What separates the clouds? (sponsored by Google Cloud)

November 19, 2019

William Vambenepe explains how a pivot toward machine learning and artificial intelligence has created clearer separation among clouds than ever before. William walks you through an interesting use case of machine learning in action and discusses the central role AI will play in big data analysis moving forward.