IBM Analytics Engine Integrations

IBM Cloud Object Storage makes it possible to store practically limitless amounts of data, simply and cost effectively. It is commonly used as storage for web sites and mobile applications, data archiving and backup, enterprise file services, and analytics. Flexible storage class tiers with a policy-based archive lets users effectively manage costs while meeting data access needs. The integrated Aspera high-speed data transfer option makes it easy to transfer data to and from Cloud Object Storage, and query-in-place functionality supports running analytics directly on users' data.

We are a proven financial technology platform, an engine of innovation, and a leader in card issuance, payments, and digital banking. Every day, we partner with great thinkers like you to reinvent the way people interact with their money and build a better financial future for all of us. Invent, build, launch and scale your own unique financial services with our proven platform that is secure and supported from the start. Create a custom multi-product solution that includes card issuance, payments, checking, savings, deposits, loans, and futures products, all through industry-leading APIs. Build a personalized financial program that suits your clients' needs. And use our simple tools to optimize your business and drive continuous innovation for profitable growth and maximum impact.

Make identity a business enabler with a unified platform that transforms your existing infrastructure into a resource for the entire organization. RadiantOne is the cornerstone of complex identity infrastructures. Harness your identity data with intelligent integration to drive better business outcomes, improve security and compliance posture, increase speed-to-market, and more. Without RadiantOne, companies must rely on custom coding, rework, and ongoing maintenance to make new initiatives work with existing environments. Expensive solutions can’t be deployed on time or on budget, negatively impacting ROI and causing employee frustration. Identity frameworks that can’t scale waste time and resources, with employees struggling to deploy new solutions for users. Rigid, static systems can’t meet changing requirements, leading to duplicate efforts and repeated processes.

Unify customer data from multiple sources into a single, persistent customer ID. Equip cross-functional teams with machine learning insights, powering 1:1 segmentation at scale. Evolve your marketing strategies and elevate customer experiences with centralized data that delivers impactful insights. Use behavioral insights to build seamless experiences across multiple channels. A better customer data picture improves personalization, giving your marketing strategy and decisions a sharper focus. Give your whole organization universal data access to empower proper analyses at individual and aggregate levels. Utilize predictive models to craft individualized content based on behavioral data. Use persona models that create customer segments based on a vast variable pool. Deploy recommendation models to determine the next best actions for customer segments and individual customers.

Switch Automation helps enterprises bring people and planet to the center of building operations with smart building and analytics software. With Switch Automation, real estate leaders can quickly scale growth with greener buildings, healthier workplaces, and increased Net Operating Income. Switch's platform integrates with building system data across an entire portfolio and offers the most complete, holistic view of building health information. Our professional services team of sustainability experts, energy engineers, and data sciences support with real-time data analysis and asset optimization. Switch Automation's software has reduced CO2 emissions by 17,000 tons across more than 4,200 buildings globally. Transform your business to be data-centric, creating new revenue models, driving productivity and unlocking cost savings. Take command of your operations with all buildings, all services and all teams monitored, measured and controlled in real-time.

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures. A wide variety of companies and organizations use Hadoop for both research and production. Users are encouraged to add themselves to the Hadoop PoweredBy wiki page. Apache Hadoop 3.3.4 incorporates a number of significant enhancements over the previous major release line (hadoop-3.2).

Apache Spark™ is a unified analytics engine for large-scale data processing. Apache Spark achieves high performance for both batch and streaming data, using a state-of-the-art DAG scheduler, a query optimizer, and a physical execution engine. Spark offers over 80 high-level operators that make it easy to build parallel apps. And you can use it interactively from the Scala, Python, R, and SQL shells. Spark powers a stack of libraries including SQL and DataFrames, MLlib for machine learning, GraphX, and Spark Streaming. You can combine these libraries seamlessly in the same application. Spark runs on Hadoop, Apache Mesos, Kubernetes, standalone, or in the cloud. It can access diverse data sources. You can run Spark using its standalone cluster mode, on EC2, on Hadoop YARN, on Mesos, or on Kubernetes. Access data in HDFS, Alluxio, Apache Cassandra, Apache HBase, Apache Hive, and hundreds of other data sources.