Data platforms

By Jason Bloomberg and Eric Newcomer, Intellyx Bitemporal data separates when something happened in your business from when your systems recorded it. For financial services firms managing regulatory reporting, audit requirements, and data quality challenges, this architectural approach provi...

As an enterprise leader, you’ve likely seen countless AI prototype demos over the last few years promising empty buzzwords like “transformation”, “efficiency”, and “competitive edge”. But how many of those prototypes actually work in production? Over the past decade, multiple AI hype cycles ha...

A Fortune 500 wealth management firm partnered with Grid Dynamics to boost financial advisor productivity and accelerate decisions with two connected capabilities: a financial services AI copilot for rapid knowledge discovery and an AWS‑native reporting platform for fast, trusted metrics. In plain...

Running agent-based systems across your enterprise comes with tough problems. The main ones are keeping costs down, scaling up fast, and making sure nothing breaks when things go wrong. This white paper gets into the real challenges that come up when teams move from simple agent pilots to a ful...

Discover how insurers can leverage AI to simplify regulatory compliance, optimize pricing, and enhance customer service in today's competitive insurance market.

Against the backdrop of escalating healthcare costs, surpassing $6 trillion by 2028, and a looming shortage of 10 million health workers by 2030, the urgency of 100% digital health integration is stark. This alarming trajectory demands a shift towards prevention and proactive care to curtail skyroc...

In the past decade, the automotive industry has witnessed a revolution, prioritizing an enjoyable and seamless user experience. Whether it's EVs, internal combustion engines, or hybrids, performance and quality have become key value propositions of this automotive evolution. With embedded systems...

MLOps and DataOps principles, such as infrastructure-as-a-code management, continuous integration and continuous delivery, proper monitoring, and a standard approach to working with data assets, are essential components of a modern data estate. In this case study, we show how we helped a global...

In today's data-driven world, efficiently managing data is critical to business growth and competitive advantage. However, many organizations struggle to extract maximum value from their data due to outdated data architectures that limit their ability to store, process, and analyze large volumes of...

The commercial vehicle manufacturing industry has been held back by the limitations of enormous on-premises systems for far too long. And now, since the outset of the global pandemic, and the war in Ukraine, the sense of urgency to maintain availability, adapt to the changing supply chain landsca...

With increasingly data-driven business ecosystems around the world, leading technology, retail, manufacturing, and finance companies turn to Grid Dynamics to build data and machine learning platforms with MLOps processes to translate data into business value, capture substantial value from improved...

A meal kit company that specializes in delivering healthy, organic, ready meal kits was about to start its journey to the cloud. The company was recently acquired by a leader in the food and beverage industry who intended to merge the business under one umbrella, with the same brand, customer man...

The manufacturing industry has been held back by the limitations of enormous on-premises systems for far too long. And now, since the outset of the global pandemic and the war in Ukraine, the sense of urgency to maintain availability, adapt to the changing supply chain landscape, and meet customer...

When it comes to insurance, customers don’t want to feel like their claim is just another drop in the ocean. This presents insurance companies with a monumental task: how to offer a tailored, user-friendly experience that fits each customer’s needs? Especially given that insurance companies have...

Data is the lifeblood of insurance. Having accurate information regarding customers' demographics, medical history, and socioeconomic status allows insurance companies to understand their clients well enough to offer protection tailored to their specific needs. However, times are changing. Insur...

Data quality control is a mission-critical capability for virtually any modern enterprise. Why? Because data quality issues can disrupt business processes and services, invalidate any type of analytics performed in the company, and damage a company's reputation. However, despite the importance of d...

User experience and customer interactions have become critical differentiators, driving a paradigm shift in the insurance industry. As business success is measured by the quality of customer experiences, insurers now have a chance to gain a competitive edge by delivering unparalleled service in thi...

On their quest to future-proof their smart manufacturing operations and create a more connected, predictable environment, Jabil Inc, a leading global manufacturing solutions provider, required a cloud-native data platform to meet these goals. Grid Dynamics, partnering with AWS, took the task hea...

With a new AWS-based solution, Grid Dynamics significantly improved the performance of this top tier agency's advertising efforts which allowed them to enhance their business. Publishers were able to manage the cost of their ads space by defining a more specific audience which would later be sold b...

Modern business intelligence (BI) tools provide users with a wide range of data consolidation, preparation, querying, and reporting capabilities that empower them to make better business decisions. However, the adoption process is non trivial even for the leading BI solutions. In this article...

Every business is focused on a rapid time to market and return on investment. It’s no longer enough to implement a data lake, businesses require a data platform that can provide immediately actionable insights. But building a data platform from the ground up can take a significant amount of tim...

Every company wants to take advantage of their data to turn it into actionable insights. It can be used to build customer 360, reduce customer churn, plan marketing campaigns, and optimize pricing, inventory, and supply chain. Data is also key to increasing productivity and the efficiency of the wo...

Over the last ten years, the role of data in modern enterprise has continued to evolve at a rapid pace. Companies launched initiatives to define and execute their data strategy, appointed Chief Data Officers, and created large teams to collect, manage, and generate insights from data. With increase...

In this article, we detail the results of our performance comparison of popular cloud-based Enterprise Data Warehouses using popular benchmarks. The goal of the investigation was not to do the most comprehensive comparison of them possible, but instead to uncover usable and valuable information to...

We recently built an analytics platform for a startup company whose mobile game acts as a digital advertising platform while providing rewards and instant winning experiences to its users. The app is in the top three in the lifestyle category on Google Play Store and top 10 in the Apple App Store,...

The retail industry is embracing big data, analytics, and machine learning (ML) to improve customer engagement, optimize operations, and drive sales. Increasingly, we’re seeing business intelligence systems that were once based on historic data, offline modeling, and traditional reporting being r...