IBM continued enhancing its core Cloud Pak hybrid cloud software offerings, this week bolstering automation and data features that will let customers simplify everything from software provisioning and patching, to data discovery and document processing.\nIBM Cloud Paks are bundles of Red Hat\u2019s Kubernetes-based OpenShift Container Platform along with Red Hat Linux and a variety of connecting technologies to let enterprise customers deploy and manage containers on their choice of private or public infrastructure, including AWS, Microsoft Azure, Google Cloud Platform and Alibaba.\n\nThe driving idea behind Cloud Paks is to ease the building, orchestrating and managing of multiple containers for enterprise workloads.\u00a0\u00a0\nOn the automation front, a new version of Cloud Pak for Automation includes support for IBM\u2019s Robotic Process Automation (RPA) to enhance routine task automation. IBM said it has integrated RPA and artificial intelligence technology it acquired from WDG Automation in July.\u00a0\nRPA support features automated bots that can draft information from different sources to help define new workflows quickly. The platform includes workflow and decision-making tools to accelerate automation, IBM stated.\nWhen AI-infused automation is applied to business processes and IT operations, it can help shorten the time between identifying an issue and responding. \u00a0This is critical as unforeseen IT incidents and outages, for example, can cost businesses in both revenue and reputation, IBM stated.\nIBM also said it partnered with myInvenio to bring automated process mining to Cloud Pak for Automation.\u00a0 Integrated features include simulation, business rules and task mining.\u00a0 The idea behind integrating process mining and task mining completes the platform for a full set of hyperautomation capabilities, where myInvenio discovers and analyzes processes while other enterprise solutions within IBM\u2019s Cloud Pak for Automation will execute any changes to the process, IBM said.\u00a0\nThe theory of hyperautomation, which Gartner says involves the combination of multiple machine-learning, packaged-software and automation tools to deliver work, has been trending at an unrelenting pace for the past few years, but the Covid-19 pandemic has heightened demand with the sudden requirement for everything to be "digital first." The backlog of requests from businesses has prompted more than 70% of commercial organizations to undertake dozens of hyperautomation initiatives as a result, Gartner said. "Hyperautomation is now inevitable and irreversible.\u00a0 Everything that can and should be automated will be automated."\nOn the data side, IBM rolled out a new version of its Cloud Pak for Data which IBM says helps businesses \u00a0collect, organize and analyze data for data management, DataOps, governance, business analytics and AI.\nThe new version includes programs or accelerators built with data science properties for banking, warranty management, supply chain forecasting, and retail. IBM Industry Accelerators, which now total 30, \u00a0are sample data science assets built to solve specific industry use cases. For example, assets include sample data sets, prebuilt machine learning models, and sample dashboards, IBM stated.\u00a0\nThe idea is that each industry accelerator is designed to help customers solve specific business problems, such as preventing credit card fraud in the banking industry.\nIBM also added support for a new deep learning service capability to monitor workloads called Watson Machine Learning Accelerator and a new feature called Federated Learning that enables users to train common models using remote, secure data sets. With this feature, data sets remain secure, while the resulting models benefit from expanded training, IBM stated.\nThe new automation and data control features are in addition to a recently updated version of Cloud Pak for security.\u00a0 \u00a0In October IBM expanded the role of its security-software package for hybrid-cloud deployments by improving the gathering of security data collected within customer networks and drawing on third-party threat-intelligence feeds, among other upgrades.\nIBM\u2019s Cloud Pak for Security, which features open-source technology for hunting threats and automation capabilities to speed response to cyberattacks, can bring together on a single console data gathered by customers\u2019 existing security point products.\u00a0 The new release expands its integration capabilities to include feeds from data stored and accessed from distributed locations and supports IBM\u2019s Security Guardian system that Big Blue offers to protect databases, data warehouses and big data environments such as Hadoop.\nWith that information the security team can determine where sensitive data resides across hybrid-cloud environments, as well as who has access to it, how it is used and the best way to protect it, IBM stated. The new release also includes support for multivendor threat-intelligence databases.\u00a0 Aside from its own X-Force Threat Intelligence Feed, the platform will also include pre-built integration with \u00a0AlienVault OTX, Cisco Threatgrid, MaxMind Geolocation, SANS Internet StormCenter and Virustotal.