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Let’s face it — We are in an era where our phones itself can hold whopping 100 + GB of data and not to speak about the cloud storage subscriptions that augment our storage capacity to terabytes with a mere spend of 10$ a month. If a single phone can generate so much data, imagine how much data...
The concept of Knowledge Graph exists for long time. In recent time Google has made a significant paradigm shift in their search engine by introducing similar perception. In a nutshell, knowledge graph is a collecting information about different entities and their relationship to one another. ...
In my last blog post , I covered how you can deliver an AI pilot in just eight weeks and at the same time design your program in a way to scale the AI across your enterprise. Culture, architecture, and technology are fundamental to move from AI pilot to AI @ Scale . #Highlights-home ...
Cloud Computing (CC) is becoming one of the most popular technology available today. One can define CC as a virtualization model that can use by a data centers to share their software and hardware resources. Multitenancy is a popular CC characteristic that allows data centers to achieve the...
IBM Cloud Pak for Data (CPD) is an integrated data and AI platform that modernizes how businesses collect, organize and analyze data and infuse AI throughout their organizations. It integrates Watson AI technology with Data Management Platform, data ops, and governance and business analytics...
Do you have time critical data flowing through your business? Are you looking to infuse AI into your applications to provide continuous intelligence? If so, IBM Streams can help you meet your time sensitive business problems. IBM Streams enables continuous and rapid analysis of massive volumes...
IBM customers are finding significant value in our Cloud Pak for Data offering. Virtualization, container management, lift and shift, and quick micro-service deployment are just some of the exciting capabilities of this new platform. As IBM goes up against Google, AWS, and Microsoft, competing...
IBM Cloud Pak for Data (CP4D) — a Redhat Openshift-based Data & Machine Learning (ML)/Artificial Intelligence (AI) platform offers various capabilities from data collection to deploying ML/AI models in production. It allows you to solve your end to end data science use case with a variety of...
Steps required before running this installer: Provision Openshift cluster. The minimum recommended configuration is a 3 node cluster with each node with 16 CPUs and 64GB of memory. Make sure the cluster is able to connect to the Internet. It is required for pulling the pod images. If...
The following videos show how you can use the Customer Segmentation accelerator in IBM Cloud Pak for Data to go beyond the traditional demographic markers, such as age, income, and gender to identify meaningful customer segments. Jenny, a data scientist, is tasked with identifying ...