Change doesn’t stop, so neither should your analytics. You could capture the most crucial, valuable insight of all—but if you don’t identify and act on it while it’s still valid, or before your competitors do, it’s worth nothing. Imagine you’re an electronics company that has sunk thousands of hours and millions of dollars into building a profile of the perfect customer for a new product release. Before you can claw back your investment with a wildly successful launch, a rival comes along and disrupts the entire industry with an innovative device like no one has ever seen before. All that effort and resources expended… all for nothing.
Data science is rapidly being established as the new frontier for analytics, as it moves from niche interest to the mainstream. Combining elements of statistics, computer science, applied mathematics and visualization, it offers a powerful new set of tools and techniques to enable more effective decision-making.
On Nov 1st, 2017, both Watson Speech to Text and Watson Text to Speech released Lite Plans, as part of IBM Cloud Platform’s initiative to roll out Lite Plans across public cloud services.
Edge Nodes are being introduced in IBM Cloud Container Service to allow a user to designate certain nodes to act as the edge of the cluster. By designating these Edge Nodes a user can ensure that only these nodes need to be exposed to the public network for the purpose of acting as an entry point to the cluster. When certain nodes are designated as Edge Nodes Kubernetes will schedule the Ingress Controller and Load Balancer to run on the Edge Nodes. Furthermore user’s application pods are not deployed on these nodes. This allows a user to isolate their application pods from the Ingress and Load Balancer workload.
Going to be in New York on November 30th? Need an excuse to go to New York? Twilio is hosting a single day event in the Big Apple aimed right at developers who are interested in building customer engagement solutions.
Starting today, IBM Cloud Log Analysis expands its availability from US-South to include the Germany and Sydney regions. Empower your DevOps team with IBM Cloud Log Analysis. Gain insights into your environment to quickly detect, diagnose, and identify issues. Keep your log data and your application workloads safeguarded on a centralized cloud class economical storage solution. Visit us in the IBM Cloud Catalog.
The IBM Cloud continues to grow, providing more and more functionality through our offerings in the catalog. As we grow, we’re excited to bring you new functionality to help better navigate your workloads on our cloud. Here are just a small subset of the things we have done with the console to make working with the IBM Cloud easier.
You can now use the Compose API to manage your IBM Cloud Compose databases. The new API is a carefully crafted selection of REST endpoints from the original Compose API. These endpoints are skillfully blended with IBM Cloud's concepts of service instances to bring the power of Compose's API to your database deployments.
Machine learning is one of the most exciting areas of data science, with enormous potential to transform data into the pure gold of competitive advantage. Data scientists can seem like wizards when their models first accurately predict customer or market behavior, or reveal valuable insight from previously untapped data sources.