Category: Data and AI

How Modern Data Architecture Drives Business Performance

Modern Data Architecture From helping businesses make educated decisions to reducing operating costs, big data really is a big deal. But why? As technology continues to evolve, so does the need for insight into customer behavior and market trends. Even though most businesses are using big data, not everyone knows how to use it effectively. […]

The Key Components for Data Modernization

Data Modernization is at the forefront of every organization’s digital transformation initiative. While the transformation itself could be of the business model and processes or the organization’s culture, no real change can occur until data is modernized and made functional. Imagine trying to create a flexible and open work culture, but your employees are still […]

A Leap into the Cloud

A Guide to Persuade Your Entire Organization to Embrace the Cloud We don’t need to educate people about cloud anymore. The technological aspects of cloud migration, such as choosing a hybrid cloud or omni cloud model, and running serverless applications that are cloud-native, are oft-talked about. And yet, Gartner predicts that lack of cloud skills […]

How to leverage automation for business success

Organizations very well know the importance of taking the right action at the right time. Be it recruiting a right candidate, or converting a lead into a customer, multiple right actions performed by multiple people combine together to drive the organization’s success. So, what drives these actions? A number of factors such as the available […]

5 Best Practices to Drive Seamless Cloud Migration

With most organizations unexpectedly thrust into the remote work scene all of a sudden, the popularity of cloud environments has been at an all-time high. While cloud enables an anywhere and anytime kind of access, allowing businesses to function efficiently even in the post-pandemic era, it has also helped businesses see other upsides to it: […]

Why It’s Vital for Companies to Focus on Data Engineering?

Digitalization is multiplying, making data the most prized asset in the world. Organizations are strategically moving towards insight-driven models where business decisions, process enhancement, and technology investments are handled with the knowledge gained from data. Big budgets are planned to make use of abundant data available, and this spending will only increase over the years.  […]

Improve Retail Business With Machine Learning

Technology has transformed how customers and brands communicate with each other. Shoppers were once dependent on face-to-face, in-store interactions to make purchases and receive support. Now, shoppers do their research before entering a store (81 percent of shoppers conduct online research before buying) and hardly rely on salespersons to help them make decisions. Retailers, however, […]

Top 5 Big Data Trends In 2020

When the world big data rapidly expanded a decade ago, there were no signs that they would slow down. It is primarily aggregated across the internet, such as social networking, web search requests, text, and media files. IoT devices and sensors produce another gigantic share of data. These are the main reasons for the global […]

Extracting Acronyms through Natural Language Processing

Introduction   An acronym is a pronounceable word created from the first letter of each word in a phrase or title. An acronym is a kind of abbreviation consisting of a first letter or initial letters in a word. It’s also called short descriptors of phrase.   Interesting Fact: Acronym was introduced as a modern linguistic element of […]