TDWI Upside - Where Data Means Business

IoT


IoT and the ML Connection

The intersection of machine learning and IoT is creating a need for new ways of thinking about -- and understanding -- data, sensors, citizen data scientists, and a host of other issues.

Trends in Data Management for 2019

TDWI analyst Philip Russom looks back at this year’s most important events and highlights five trends that will likely affect how you manage data in the coming year.

Data Digest: Internet of Things Challenges, Trends, and Advances

Preparing for IoT, how IoT will transform business, and new research into smaller, cheaper IoT sensors.

Data Digest: IoT Security Costs, IT Cloud Challenges, Automating Governance

The hidden costs of IoT device vulnerabilities, the new issues IT departments have to handle with cloud computing, and how machine learning can accelerate data governance.

Emerging Practices in Location Data Management and Analytics

Traditional geographic data combined with new geocoding is giving business operations and analytics greater precision and innovation.

Data Digest: Industrial IoT Analytics, Deep Learning, Successful AI

The potential of IoT for manufacturing, definitions of deep learning, and how to get started right with AI.

Data Digest: Graph Database Advances and Applying IoT

A graph database trying to connect everything, a standard language for querying graph databases, and a case study for IoT and predictive maintenance.

Data Digest: Protecting the Internet of Things

Threats to IoT, how to secure IoT devices, and a user-friendly view of IoT security issues.

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