analytics

April 18, 2018

Combine organizational transformation and IBM Cloud infrastructure for a successful AI journey

With our recent cloud infrastructure and Deep-Learning-as-a-Service (DLaaS) announcements, IBM Cloud is a key contributor to the push towards AI. We’ve delivered a comprehensive suite of AI tools, high performance bare metal servers, and NVIDIA® GPUs that enables companies of all sizes to analyze complex unstructured data faster, more thoroughly and accurately, and at a far less cost than ever before.

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April 11, 2018

Get Started with Streaming Analytics + Message Hub

Message Hub provides a simple communication mechanism built on Apache Kafka, enabling communication between loosely coupled Bluemix services. This article shows how to communicate with Message Hub from the Streaming Analytics Bluemix service using the messaging toolkit.

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February 22, 2018

Anomaly detection in mobile sensor data using Machine Learning

This blog post is an excerpt from our solution tutorial - "Gather, visualize, and analyze IoT data". The tutorial walks you through setting up an IoT device, gathering mobile sensor data in the Watson IoT Platform, exploring data and creating visualizations and then using advanced machine learning services to analyze data and detect anomalies in the historical data.

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February 8, 2018

Turn-key Kubernetes with data visualization and analytics

There are many reasons why you might choose Kubernetes as your platform for hosting your application(s). In Cloud Foundry, for each application, the platform provides the isolation, OS, runtime, networking and management capabilities. This opinionated environment is ideal for some use cases. Kubernetes provides similar capabilities but gives you the control of the OS, runtime, networking rules of each service, communication between services in your cluster and more.

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December 21, 2017

Happy Birthday Watson Discovery

Watson Discovery is one year old! We are proud of how Discovery has evolved over the last year, now serving as a powerful insight engine on IBM Cloud. We released several milestone features over the year including passage retrieval, relevancy training, anomaly detection, semantic match, cross-collection federation while improving our tooling user experience, language support, […]

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December 18, 2017

New London Regional Service for IBM Cloud Object Storage

IBM is pleased to announce the immediate availability of our new low cost, low latency Regional Service for IBM Cloud Object Storage, for the UK-London Region, now open for all customers to use worldwide. With this new regional resiliency service, customers now have the choice to store and access their data within the UK London region for in-country data sovereignty, business continuity and high availability with low cost and low latency.

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November 23, 2017

Kubernetes Log Forwarding with Syslog

Logs help you troubleshoot issues with your clusters and apps. Sometimes, you might want to send logs somewhere for processing or long-term storage. On a Kubernetes cluster in the IBM Cloud Container Service, you can enable log forwarding for your cluster and choose where your logs are forwarded.

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November 20, 2017

Closing the loop: the case for building a coherent platform for data science and machine learning

Many organizations have started to explore the value that machine learning can bring—from illuminating previously “dark data” such as images and videos, to creating models that help to guide or even automate business decision-making. However, very few companies have gone beyond pilots and prototypes, or made the transition from one-off projects to a scalable, repeatable workflow. Too often, machine learning exists in a bubble of its own, instead of being understood in the context of the broader data science workflow.

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October 26, 2017

Streaming Analytics Updates: IBM Streams Runner for Apache Beam

The IBM Streaming Analytics service is a cloud-based service for IBM Streams. Streams is an analytics platform that allows you to create applications that analyze data from a variety of sources in real time. Streaming Analytics continues to add enhancements to make it easy for you to create streaming applications however you choose. Previously, we announced integration with DSX to allow creating Streams applications in Python. Now, you can run a Beam application/pipeline in Streaming Analytics.

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