Watson machine learning within IBM Data Science Experience

Acknowledgments: This blog was written by Fehmina Merchant, Sivakumar Anne, and Aleksandr Petrov. Special thanks to John J. Thomas and Allen Kliethermes for their valuable inputs. (Note: This post showcases features that are currently in beta and may be subject to changes by general availability.) Machine learning is all about building algorithms and models that can learn...  Continue reading Watson machine learning within IBM Data Science Experience

Machine learning and analytics to find the signal within security noise

“Those who fail to learn from history are doomed to repeat it” These words are often attributed to Winston Churchill (although probably originally written by the philosopher George Santayana). These words have recently taken on new meaning in the context of security analytics. The most important development in the world of security is the massive adoption of...  Continue reading Machine learning and analytics to find the signal within security noise

Blockchain and the future of the software engineer

Blockchain has permeated the headlines for quite some time now. Perhaps you’re familiar with it only peripherally. Perhaps you’ve dipped your toes in the technology and pondered it as a viable solution. Perhaps you think it’s nice and sweet and it doesn’t concern you. But, even if you deem it will remain in the hinterlands,...  Continue reading Blockchain and the future of the software engineer

Graph Databases: The right technology for the right time

The core components of traditional databases, such as tables and columns, obfuscate the natural relationships between data points. Users of these databases struggle with creating a meaningful entity relationship diagram – even though that’s how the data originated. The Need for a NoSQL Database When I was a developer in the 90’s working on IBM Lotus Notes,...  Continue reading Graph Databases: The right technology for the right time

Need a recommendation engine? Graph databases boost customer service with real-time insight

Whether your organization sells primarily to consumers or to businesses, it’s the strength of your customer relationships that makes all the difference. Increasingly, companies are realizing that building and maintaining those relationships requires more than a one-size-fits-all approach to customer service. Instead of thinking in terms of business-to-business (B2B) or business-to-consumer (B2C), the new paradigm is...  Continue reading Need a recommendation engine? Graph databases boost customer service with real-time insight

Detecting complex fraud in real time with Graph databases

As more and more businesses move to an increasingly online-focused operating model, they open up new attack vectors for fraudsters – and often struggle to put adequate fraud detection safeguards in place. In industries such as retail and advertising, where fraud has not been a major threat to offline operations in the past, developing effective online...  Continue reading Detecting complex fraud in real time with Graph databases

No more joins: An overview of Graph database query languages

Graph databases are rising in popularity among the ranks of NoSQL databases. They allow you to store data as entities (nodes) and relationship (edges), and allow you to query the data as a graph. Queries written against graph databases are closer to how the data is modeled than other query languages. A great advantage...  Continue reading No more joins: An overview of Graph database query languages

What is blockchain? A Primer on Distributed Ledger Technology

You've probably heard of Blockchain. It's hard to navigate much of the web today without running across some kind of reference to it. After a while I thought, “Could I really explain Blockchain to someone if asked?” and if you're in the same boat as I was, this post is for you. The Problem Any technology...  Continue reading What is blockchain? A Primer on Distributed Ledger Technology
Searching for Search Webinar

[Webinar] Searching for Search: A guide for application developers

Imagine how frustrating it would be to purchase something from a web or mobile retail application that didn't have search functionality. Or how useless a real estate app would be if you couldn't filter out certain housing features. Would you even bother trying to search for a flight or a hotel if you had...  Continue reading [Webinar] Searching for Search: A guide for application developers
ScyllaDB

ScyllaDB on Compose: Hosted, next generation Cassandra for a lightning-fast NoSQL database

Created by Facebook to power its inbox search feature and used today by both Netflix and Reddit, Apache Cassandra® is a popular open source choice for developers worldwide. Its decentralized architecture and data replication capabilities make it fault tolerant, highly available, and (most importantly) dependable for storing and accessing your most critical data. Continue reading ScyllaDB on Compose: Hosted, next generation Cassandra for a lightning-fast NoSQL database
IBM Bluemix

New IBM Bluemix Services Accelerate Cloud Data Migration

IBM has announced several new cloud data services and features on its IBM Bluemix platform designed to help organizations accelerate the migration of their data to the cloud and, in turn, more readily generate business insights. According to IDC, the amount of high-value data worth analyzing will double by 2020, and much of this data will...  Continue reading New IBM Bluemix Services Accelerate Cloud Data Migration