To start off discussing what we can do with data, we first need clarity on what exactly big data is. Gartner in its description says, Big data is high-volume, high-velocity and/or high-variety information assets that demand cost-effective, innovative forms of information processing that enable enhanced insight, decision making, and process automation. The important part of this description… Continue reading Apache Spark 3.3.0 on Azure Synapse Analytics
Just imagine how much error-prone, repetitive, and time-consuming it would be to extract data manually from various sources/documents, which might also impact the entire business process. Let’s consider a use case where the power of Amazon Textract can be harnessed. “A transportation agency maintains all registration and transportation in paper-based documents. With the growth of the number… Continue reading Amazon Textract Service – Extract text, data and forms from documents
Data is the single source of truth for businesses that wish to retain customers by continuous exhilaration. Today, because of IoT, mobility and cloud technologies, data sources have increased and data, both structured and unstructured, from on-premises and multiple clouds continues to pour into organizations. This data is often stored in disparate sources, i.e. file… Continue reading Data Fabric – Modernizing Data Integration to Deliver Business Value
Nerve cells in the brain control all our functions, thoughts, emotions and so forth. To summarize they define who or what we are. However, even more important than nerve cells are the junction between two nerve cells and unless these junctions or pathways are connected there would be resultant dysfunctionalities and chaos. This functionality or… Continue reading Azure Synapse Pathway – The Pathway to Truthful Analytics
Over the years, people go for medical checkups resulting in generic medical records, and some investigatory tests such as x-rays and scans stored as images. People also suffer from different illnesses, undergone surgeries which would have been treated through procedures and treatments. These medical records could be stored in different formats elsewhere. Health records of… Continue reading Innovation in Healthcare – Azure Healthcare APIs
In this digital-first era, innovations using Artificial Intelligence (AI) and machine learning are a key component of organizational goals and strategy. With its Power Platform suite Microsoft is enabling companies to build customized solutions to increase automation, collaboration, productivity, and scale without heavy investments. Digital Immigrants & Natives across industries are building applications along with… Continue reading Intelligent Automation Of Digital Workflows Using Microsoft Power Platform and AI Builder
As enterprises adapt to new technologies to manage large scale, complex and fragmented business units, tons of data continue to be generated. This data comes from various sources such as customer interaction, social media, sales cycles, business transactions and so forth. Enterprises are therefore weighed down by these massive amounts of data that can run… Continue reading Azure Databricks – Unified Approach for Managing Data and Machine Learning
The ongoing COVID-19 pandemic has tested the retail industry thoroughly and in many ways. It brought a major paradox in the consumer sentiments that impacted the whole industry in a way never imagined before. Initially, foot traffic in U.S. stores fell 58.4% in the third week of March, per ShopperTrak. Then in matter of next few… Continue reading 5 Post-COVID Retail Trends
I am excited to share that WinWire has been honored by Microsoft with two Global Microsoft Partner of the Year Recognition for 2021. The first recognition is for the “Cloud Application Modernization Partner of the Year” demonstrating WinWire’s advanced expertise in delivering mission-critical solutions deployed on the Azure cloud platform. The second is the “Healthcare Partner of the Year” for solutions delivered to… Continue reading WinWire recognized by Microsoft with 2021 Partner of the Year Awards and MSUS Partner Award
Machine learning needs data and context to enhance and refine its predictions. With complex and large volumes of data, AI Machine Learning (ML) models get a larger playground to develop precision. One problem that may hinder this learning process is the lack of quality data in the production environment. Access to historical data and related… Continue reading Feature Store for AI – Should one Build or Buy?