Three steps for global IoT security

Three years ago,  Gartner predicted  that by 2020 there would be 20 billion connected ‘things’ in circulation. A lot has changed in three years. In fact, a lot has changed in the last 12 months, says Mikael Schachne ,  CMO and VP of Mobility & IoT at  BICS .

Continue reading

Validate, evolve, and control schemas in Amazon MSK and Amazon Kinesis Data Streams with AWS Glue Schema Registry

Data streaming technologies like Apache Kafka and Amazon Kinesis Data Streams capture and distribute data generated by thousands or millions of applications, websites, or machines. These technologies serve as a highly available transport layer that decouples the data-producing applications from data processors.

Continue reading

Field Notes: Applying Machine Learning to Vegetation Management using Amazon SageMaker

This post was co-written by Louis Lim, a manager in Accenture AWS Business Group, and Soheil Moosavi, a data scientist consultant in Accenture Applied Intelligence (AAI) team. Virtually every electric customer in the US and Canada has, at one time or another, experienced a sustained electric outage as a direct result of a tree and power line contact

Continue reading

Introducing Amazon EMR integration with Apache Ranger

Data security is an important pillar in data governance. It includes authentication, authorization , encryption and audit. Amazon EMR enables you to set up and run clusters of Amazon Elastic Compute Cloud (Amazon EC2) instances with open-source big data applications like Apache Spark, Apache Hive, Apache Flink, and Presto.

Continue reading

Enterprise Analytics Kicks Off to a Promising Start

After a challenging 2020, the importance of analytics and a strong corporate data strategy becomes even more clear. Here are some trends to watch. Image: Rymden – stock.adobe.com Despite the setbacks of a challenging year, the volume and importance of analytics and corporate data to corporate strategy and execution grew.

Continue reading

4 Ways to Overcome AI Obstacles

Four out of five organizations haven’t scaled their AI. Here are some ways to change that. It’s clear that all companies investing in AI are hoping to maximize its success and capabilities, but other factors are holding them back. Here are four ways organizations can overcome the obstacles that prevent them from scaling their AI programs:

Continue reading

1 370 371 372 373 374 389