Author: Ammar Aliammar-ali

Optimizing billing and revenue cycles is crucial for healthcare organizations to thrive. The advent of automated data extraction technologies has opened new possibilities for streamlining these critical processes. By leveraging data extraction automation, healthcare providers can unlock significant advantages, including […]

By automating tedious data tasks, AI enables scientists to focus on innovation and discovery  Real-world evidence (RWE) holds significant potential for practitioners to gain insights into the safety and effectiveness of medical products within real-life environments. This valuable resource is […]

With the ever-increasing volume of data generated and collected by companies, manual data management practices are no longer effective. This is where intelligent systems come in.  Artificial intelligence (AI) and intelligent systems have significantly contributed to data management, transforming how […]

As technology continues to advance, industries across the board are being transformed. The finance industry is no exception! With the rise of artificial intelligence (AI) ushering in a new era of efficiency and accuracy, we’ve seen significant growth in the […]

The ripple effect is like throwing a pebble into a pond. It starts small, with just a tiny ripple, but that ripple quickly spreads outward, touching everything in its path. The ripple effect is powerful because it shows how one […]

Gartner, Inc.’s latest forecast reveals that global IT spending is projected to reach $4.6 trillion in 2023. Despite the impacts of COVID-19 and the looming recession, enterprises will push forward with digital business initiatives and invest in technological advancements. “Enterprises […]

It’s been an exciting year for Astera! We successfully launched Astera Data Stack Version 10.0 as well as the newest addition to our platform: Astera API Management. Here’s a quick recap of everything we accomplished in 2022. Astera bagged 2 […]

Data warehouses have long served as a single source of truth for data-driven companies. But as data complexity and volumes increase, it’s time to look beyond the traditional data ecosystems. In today’s digitized era, organizations must adapt to the evolving […]

Staying afloat during a recession requires a proactive approach. As consumers tighten their purse strings and competition for customers grows fierce, businesses must find ways to stand out from the competition and avoid falling into red ink. The key is […]

There are two types of decision-makers: those who make decisions based on assumptions and those who take actions based on facts. From a logical and statistical perspective, the latter category makes better choices that help their organizations develop and grow. […]

Modern enterprises continue to embrace digital transformation at scale — with business analytics at the forefront of this revolution. Across industries, organizations generate a massive volume of data. The ones using analytics to their advantage are more likely to perform […]

For decades, processing an invoice essentially meant hand-keying information. The paper bills would pass through multiple touchpoints and require a lot of manual intervention. That has all changed in recent years with automated invoice processing, as enterprises look to reduce […]

  Technological advancements in artificial intelligence (AI) have made it possible for businesses to unearth meaningful insights from unstructured documents more efficiently than ever. A growing number of modern enterprises are embracing intelligent document processing (IDP) — a technique that […]

We’re thrilled to announce the release of Astera Data Stack 10.0. The new version brings exciting new features and updates for improved data management across the enterprise. Astera Data Stack solutions inherit all the benefits and functionalities of the previous […]

In 1996, Ralph Kimball introduced the world to dimensional modeling for building data warehouses. Designed to optimize databases for storage and faster data retrieval, the bottom-up approach became quite popular. Thus, organizations increasingly started using a dimensional data model to […]