June 12, 2020
Description: Majority of AI approaches are based on the construct of training against historical data and then inferencing new data. While this is a sound and proven approach, a lot of IoT assets coming online don’t have historical data and we don’t necessarily have the time to wait.
Added by Jane Howell on June 12, 2020 at 2:30pm — No Comments
The history of Database management systems could be interpreted as a Darwinian evolution process.
The dominance of relational databases gives way to the data warehouses one, which better adapt to the earliest business intelligence requirements; then, alongside the rise of the most popular big data platforms such as Hadoop or spark, comes the era of the NoSQL…
Added by Valeria on December 30, 2019 at 1:00am — No Comments
The history of F1 motor racing and the use of telemetry as a way to monitor car setup and performance dates back to the 80s. The first electronic systems were installed onboard the car, collected information for only one lap and the data were then downloaded when the car was back in the garage. The explosion of computing capabilities, in the 90s, contributed to the growth of intelligent data usage in the F1 and the…Continue
Here I am writing my first post, I posponed it for a long time… In this article I would like to share my experience installing and testing basic Apache Kafka features. If you are new in the Big Data ecosystem let me give you some short concepts.
Kafka is a distributed streaming platform which means is intended for publish and subscribe to streams of records, similar to a message queue or…Continue
Added by Antonio Cachuan on September 28, 2018 at 8:15pm — No Comments
Summary: This is the second in our “Off the Beaten Path” series looking at innovators in machine learning who have elected strategies and methods outside of the mainstream. In this article we look at Numenta’s unique approach to scalar prediction and anomaly detection based on their own brain research.
Added by William Vorhies on February 20, 2018 at 8:30am — No Comments
Summary: In this Lesson 3 we continue to provide a complete foundation and broad understanding of the technical issues surrounding an IoT or streaming system so that the reader can make intelligent decisions and ask informed questions when planning their IoT system.
In Lesson 1
In Lesson 2…
Summary: In this Lesson 2 we continue to provide a complete foundation and broad understanding of the technical issues surrounding an IoT or streaming system so that the reader can make intelligent decisions and ask informed questions when planning their IoT system.
In Lesson 1
In This Article…
Added by William Vorhies on June 27, 2016 at 8:10am — No Comments
The world moves with faster speed every day. Folk, companies, and entrepreneurs try to react at an ever-increasing speed. Reaching the limits of a human's ability to reaction, tools are build to process the massive and big amounts of data available to decision makers, analyze and present it. The processing of this data has a number of different application areas.…Continue
Added by Priyanka Jain on May 30, 2016 at 1:00am — No Comments
Collaborative business intelligence is an environment In which users can communicate and collaborate each other with ease, they are able to sharing information, ideas, and decision making in their communities.
Each and every day, no one holds the millions of data items of intellectual property (telephone calls , conversations, and e-mails) in companies and organizations across the world. Using important collaborative software to…Continue
Added by Priyanka Jain on May 19, 2016 at 9:00pm — No Comments
The need for info within the twenty first century continues to intensify—and shows no sign of subsiding. Today’s decision manufacturers would like to be of an incredible volume and style of info, leading more companies to deploy analytics that not solely facilitate them sense and respond to key business problems, but additionally facilitate them build predictions and act based mostly on period of…Continue
Added by Priyanka Jain on May 9, 2016 at 12:30am — No Comments
Summary: At least one instance of Real Time Predictive Model development in a streaming data problem has been shown to be more accurate than its batch counterpart. Whether this can be generalized is still an open question. It does challenge the assumption that Time-to-Insight can never be real time.
A few months back I was making my way through the latest literature on “real time analytics” and “in stream analytics” and my blood pressure was rising. …Continue