Enterprise Insights with Netezza

IBM Cloud Pak for Data – Is Your Data Ready for AI?

Get a complete view of your data from any source, any place, and in every form with IBM Enterprise Insights. In the digital age, data is your most strategic asset. If you can’t access it and understand it, your competition will take advantage. Using AI you can now unlock your valuable data like never before. Leverage the Data to make the most informed business decisions.

Now you can infuse AI across your entire business network for a unified enterprise-insights platform.

IBM Cloud Private for Data is an open and cloud-native infrastructure. Since it is designed for AI it allows you to access and understand your data like never before. The integrated platform keeps governance and security in your hands. At the same token it adds data and analytics insights to where you need them most. Additionally, with IBM Enterprise Insights with Netezza applications you can get all the benefits of the cloud. Above all, the assurance that comes with operating in a private and secure AI environment.

IBM Enterprise Insights -TechD

IBM partnered with Red Hat to lay the groundwork for Cloud Paks.

Red Hat Enterprise Linux fully supports the foundation. In addition, the Red Hat Open Shift Container Platform powers the next layer. The few enterprise-ready container orchestration platforms available today.

IBM Enterprise Insights provides a Unified Experience

Deploy your IBM Cloud Pak in pre-integrated systems, data centers, or on private and public clouds. IBM Cloud Paks use a common set of services that includes security and identity services, logging, monitoring, and auditing. With features such as scanning for known image vulnerabilities during standard procedures. Above all, IBM ensures security!

The appliance runs Red Hat Enterprise Linux, vSphere, Red Hat OpenShift, and IBM Cloud Paks.

IBM provides you the option of hyper-converged appliances with in-built Cloud Paks or deploy them using your existing infrastructure. Moreover, Cloud Pak a fully integrated, infrastructure is engineered with: VMware, IBM, and Red Hat software.

To Unlock the true power of Data contact our expert team and implement IBM Cloud Pak for Data!

Trust TechD to power and get insights from your data, we are fully certified in the IBM Enterprise Insights Stack. Above all, our expert team deliver maximum benefits for your organization.

Unlocking Your Valuable Data Creates an Information Architecture for AI

IBM Cloud Pak for Data

IBM uses Kubernetes and OpenShift to deliver open source and proprietary software as containers.

IBM Cloud Pak for Data System with IBM Performance Server

Get plug-and-play enterprise data and AI without the wait. Cloud Pak is ready to use and built to perform within hours.

IBM Watson Knowledge Catalog

The IBM Watson Knowledge Catalog, powered by IBM Cloud Pak for Data, is tightly integrated with an enterprise data governance platform.

Explore other IBM Cloud Pak solutions

IBM Cloud Pak for Data (CP4D) is a robust end-to-end platform for all data and analytic needs within your enterprise.

Applications

IBM Cloud Pak for Applications gives you all the tools necessary to build, deploy, and manage applications based on DevOps processes. The solution stack features mainstream developer tools, runtimes, modernization toolkits, and DevOps tools to handle the application life-cycle management (ALM) of cloud-native apps. Cloud Pak for Applications customers get access to IBM WebSphere, Deploy, and Velocity solutions through UrbanCode, production-ready Open-JDK distribution, and IBM Mobile Foundation.

Data

IBM Cloud Pak for Data is a fully-integrated data and AI platform. Utilizing the power of AI, it modernizes the process of collecting, organizing, and analyzing data. The Pak includes a variety of IBM products to manage end-to-end data processing and machine learning pipelines. From Watson knowledge Catalog to Watson Studio and Assistant to DB2 Warehouse, the IBM Cloud Pak for Data has everything to build data-driven, AI-powered applications.

Integration

Bring the power of traditional enterprise application integration (EAI) securely to cloud-native environments with IBM Cloud Pak for Integration. The hybrid integration platform includes the following built-in features: templates, prebuilt connectors and also an asset repositor. In addition to API lifecycle management, data integration tools for SaaS applications, enterprise messaging, event streaming based on Apache Kafka. The Pak also comes with a secure gateway to connect the data center to the public cloud.

Automation

IBM Cloud Pak for Automation comes with software for creating and deploying modern automation applications and services. The Pak integrates with IBM Robotic Process Automation (RPA) to support routing task automation. In partnership with Automation Anywhere, IBM Cloud Pak for Automation allows bots to pull information from different sources to help fill out forms more quickly and accurately. The built-in workflow and decision-making tools accelerate automation.

Multicloud Management

IBM Cloud Pak for Multicloud Management brings consistent delivery for event management, multicluster management, and application and infrastructure management. Manage applications running in a public cloud or on-premises data center. The Pak has the ability to collect and organize events generated by applications running in different environments.

Features

Single, unified platform

The single platform increases speed time to value by integrating data management, data governance, and analysis in one unified platform. Experience greater efficiency, optimize resources and enable self-service collaboration across teams.

Best-in-class data virtualization

Whether on cloud or on-premises, you can query data more easily and more securely across multiple sources. Take advantage of the combined processing power and discover unmatched query acceleration. Get the speed and scalability for today and tomorrow.

Built-in data governance

Seamlessly respond to new regulations with embedded, sophisticated governance capabilities. Automated discovery and classification of data, sensitive data masking, data zones, and data lifecycle management.

Unified data and AI services

Ensure that data is easily accessible for AI with managed end-to-end data workflows. Ensure that your data is high quality and deliver accurate, automated insights and decisions. Take advantage of a collaborative environment to build and manage machine-learning models.

Cloud-native agility

Experience a multi-cloud data platform that is agile, portable, and resilient. Accelerate your application development and deployment, and benefit from Kubernetes containerization to scale services in minutes instead of months.

Extensible APIs and ecosystem

IBM Cloud Pak for Data System model is to Collect, Organize, Analyze every type of data and enables users to apply best practices while extracting significant business value. The built-in models and accelerators are beneficial and applicable to enterprises across industries.

Industry accelerators

Benefit from a broad ecosystem of complementary hardware, software and services through a growing service catalog. Provision preferred data services flexibly and rapidly, and customize data workflows to your individual needs.

Continuous intelligence

With IBM Streams on IBM Cloud Pak for Data, you get continuous and rapid analysis of large volumes of data. Real-time streaming applications deliver continuous intelligence helping you gain business insights faster and make more informed decisions.

All in one

In less than four hours you can deploy a hyper-converged system with all necessary software. Using an intuitive dashboard, you can dynamically scale compute, software, and storage with on-demand plug-and-play operations.

What our own TechD Experts say

“It’s a very exciting product. You have a lot of things that a lot of different companies are doing, molded into one technology suite.”

Jane Doe, Job Title

“What makes it especially attractive is that it enables us to develop and deploy new models quickly that brings AI to the data, rather than the other way around.”

John Doe, Job Title