AI and data platforms (90)
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Data platforms
Demo
When money moves, does it arrive?
Demo When money moves, does it arrive?
Brokerage account transfers move through a chain of manual handoffs: a receiving firm, DTCC and ACATS, a delivering firm, plus regulatory checks for AML, KYC, and customer protection. Over the last 24 months, that chain produced 116,000 improper transfer rejections and delays stretching past 100 da...
Solution Brief
Bitemporal Risk Book of Record for institutional portfolio management
Solution Brief Bitemporal Risk Book of Record for institutional portfolio management
Investment committees ask risk and liquidity questions that traditional books of record can’t answer, especially when private assets report quarterly and derivatives create synthetic exposures that stay invisible in holdings-based views. ABOR and IBOR show what you own and where it’s held, but they...
White Paper
Bitemporality for data compliance
White Paper Bitemporality for data compliance
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...
White Paper
Production-ready agentic AI deployment
White Paper Production-ready agentic AI deployment
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...
Case Study
Fortune 500 wealth management firm boosts advisor productivity with AI copilot and AWS reporting platform
White Paper
Building an enterprise-grade agentic AI platform using Temporal
White Paper Building an enterprise-grade agentic AI platform using Temporal
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...
Ebook
Are small insurers being left behind?
Ebook Are small insurers being left behind?
Discover how insurers can leverage AI to simplify regulatory compliance, optimize pricing, and enhance customer service in today's competitive insurance market.
Demo
Semantic Layer
Demo Semantic Layer
Experience the power of Semantic Layer in modernizing enterprise data management. This demo showcases how to unify diverse data sources, streamline access, and connect reporting tools seamlessly. Watch as we transform complex architectures into accessible information hubs using Cube, Snowflake, and...
Demo
GenAI for Business Intelligence
Demo GenAI for Business Intelligence
Unlock the power of your business data with the GenAI for Business Intelligence Starter Kit from Grid Dynamics. This powerful solution leverages generative AI to help business users overcome the steep learning curve of understanding complex databases, querying data, and interpreting results.
White Paper
Digital health integration: Bridging the gap between technology and care
White Paper Digital health integration: Bridging the gap between technology and care
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...
Article
How cloud-based automotive experience engineering ensures integrated ecosystems for a superior ride
Case Study
Analytics and ML platform modernization: A case study
Case Study Analytics and ML platform modernization: A case study
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...
White Paper
The data estate modernization playbook: Seven steps for business transformation
Article
Driving the future of automotive manufacturing with cloud-native analytics
Article Driving the future of automotive manufacturing with cloud-native analytics
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...
Solution Brief
Analytics platforms and MLOps
Solution Brief Analytics platforms and MLOps
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...
Article
Modern serverless data ingestion solution on AWS
Article Modern serverless data ingestion solution on AWS
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...
Article
Why you need a cloud-native analytics platform for smart manufacturing
Article Why you need a cloud-native analytics platform for smart manufacturing
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...
Article
Enhance customer 360° views in insurance with predictive analytics and AI in the cloud
Article
Insurance data 360: Sync your business data ecosystem, eliminate silos and see ultimate efficiency at scale
Article
Data quality control framework for enterprise data lakes
Article Data quality control framework for enterprise data lakes
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...
White Paper
Insurance 360: Unlock value creation with these industry-disrupting, experience-refining trends
Case Study
Grid Dynamics analytics platform for smart manufacturing: A Jabil case study
Case Study Grid Dynamics analytics platform for smart manufacturing: A Jabil case study
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...
Case Study
Advantages of a next-generation customer data platform for a top tier marketing agency on AWS
Article
Establishing advanced BI capabilities with Google Looker: A step by step tutorial
Article
Deploy Data Platform on AWS in One Day
Article Deploy Data Platform on AWS in One Day
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...
Article
Turn data into insights faster with Grid Dynamics analytics platform starter kit on AWS cloud
Article
From data lake to analytical data platform
Article From data lake to analytical data platform
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...
Article
Which enterprise data warehouse performs better for your workloads?
Article Which enterprise data warehouse performs better for your workloads?
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...
Article
How to create a serverless real-time analytics platform: A case study
Article How to create a serverless real-time analytics platform: A case study
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,...
Article
Top business drivers of real-time analytics and machine learning in retail
Article Top business drivers of real-time analytics and machine learning in retail
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...
Machine Learning platforms
Article
Hybrid deep learning with Azure Databricks and on-prem NVIDIA DGX
Article Hybrid deep learning with Azure Databricks and on-prem NVIDIA DGX
Modern enterprises increasingly rely on deep learning to power mission-critical workflows such as global demand forecasting, inventory optimization, supply chain prediction, video-based defect detection, and financial risk modeling. These workloads demonstrate rapidly increasing GPU requirements, g...
Case Study
Machine learning for optimized campaign delivery and performance: A Yieldmo case study
Article
A scalable, configuration-driven machine learning platform
Article A scalable, configuration-driven machine learning platform
Co-created by Grid Dynamics Director of Data Engineering, Dmitry Mezhensky, and Yieldmo Head of Analytics and Data Science, Sergei Izrailev Yieldmo, a Grid Dynamics client, is an advertising platform that helps brands improve digital ad experiences through creative tech and artificial intellig...
Case Study
Analytics and ML platform modernization: A case study
Case Study Analytics and ML platform modernization: A case study
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...
Article
How to enhance MLOps with ML observability features: A guide for AWS users
Article How to enhance MLOps with ML observability features: A guide for AWS users
Adoption of machine learning (ML) methods across all industries has drastically increased over the last few years. Starting from a handful of ML models, companies now find themselves supporting hundreds of models in production. Operating these models requires the development of comprehensive capa...
Solution Brief
Analytics platforms and MLOps
Solution Brief Analytics platforms and MLOps
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...
Article
Enterprise-grade ML platform in AWS: A starter kit
Article Enterprise-grade ML platform in AWS: A starter kit
Modern enterprises operate with tremendous amounts of data, and data management has become an integral part of business decision-making processes, KPI management and reporting. However, getting advanced insights from data and ML models is a sophisticated process that many companies still stru...
Case Study
Price optimization for video games using machine learning
Case Study Price optimization for video games using machine learning
To optimize promotions across various channels and countries, a video game publisher encountered challenges in accurately forecasting demand 24 months ahead and effectively managing new game releases. Grid Dynamics addressed these issues by developing robust demand forecasting models and what-if an...
Article
A plug-and-play platform for in-app and in-game experience personalization
Article A plug-and-play platform for in-app and in-game experience personalization
Personalization and recommendation models are widely adopted by technology and entertainment companies as highly efficient tools for digital experience improvement and conversion optimization. The traditional model development and productization process, however, requires significant engineering ef...
Article
Top business drivers of real-time analytics and machine learning in retail
Article Top business drivers of real-time analytics and machine learning in retail
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...
LLMOps
Article
Your AI bill is rising. How do you direct every dollar to business value?
Article Your AI bill is rising. How do you direct every dollar to business value?
You can wait for vendors to make token economics more transparent or act now to understand your AI costs, reduce waste, keep innovating, and direct more of your budget toward measurable business value. The choice is yours. Because you chose to act now. This discussion helps you measure the p...
White Paper
How token economics governs the variable cost of enterprise AI
White Paper How token economics governs the variable cost of enterprise AI
An agentic AI initiative can beat every adoption target and still destroy its own margin. Every prompt, model call, tool invocation, and agent decision adds a variable cost that grows with usage. What looked affordable in a pilot can turn into a real P&L exposure within months, once adoption ex...
Case Study
Fortune 500 wealth management firm boosts advisor productivity with AI copilot and AWS reporting platform
Ebook
Scaling LLM application prototypes into commercial solutions
White Paper
Simplifying, accelerating, and optimizing enterprise generative AI adoption
White Paper Simplifying, accelerating, and optimizing enterprise generative AI adoption
The rapid adoption of generative AI in enterprises has created both excitement and challenges for organizations seeking to harness its potential. As companies move from proof of concept (POC) to production, they face numerous obstacles that require expert guidance to overcome. In this context, the...
White Paper
Generative AI and LLMs in automotive: Enhancing efficiency and innovation
White Paper Generative AI and LLMs in automotive: Enhancing efficiency and innovation
Originally published on Top Company Guide The automotive industry is facing unprecedented challenges with increasing competition, shifting consumer preferences, and the drive for sustainability. These challenges place immense pressure on manufacturers to innovate and optimize every aspect of the...
Article
LLMOps blueprint for open-source large language models
Article LLMOps blueprint for open-source large language models
Deploying open-source large language models (LLMs) like Mixtral-8x7B, Mistral, and Llama 2 requires a significantly different LLMOps architecture compared to using closed-source models from providers like OpenAI, Google, and Anthropic, even though data vectorization, embeddings creation and observa...
Article
Transforming business process automation with retrieval-augmented generation and LLMs
Article
LLMOps blueprint for closed-source large language models
Article LLMOps blueprint for closed-source large language models
Building solutions using closed-source large language models (LLMs), including models like GPT-4 from OpenAI, or PaLM2 from Google, is a markedly different process to creating private machine learning (ML) models, so traditional MLOps playbooks and best practices might appear irrelevant when appl...
Article
Semantic layer: Design principles and cloud-agnostic architecture
Article Semantic layer: Design principles and cloud-agnostic architecture
The diversity of modern data technologies leads to new challenges in establishing a consistent and accurate data view for data consumers. In light of this issue, a semantic data layer introduces a means of harmonizing a single point of view for business metrics, no matter how many different data...
White Paper
The essential guide to transforming IT operations with AIOps
White Paper The essential guide to transforming IT operations with AIOps
ITOps is at the heart of today’s enterprise technology innovation teams. Often, they’re tasked with overseeing complex and diverse IT environments and face unprecedented challenges due to the volume and variety of data they encounter. In this white paper, we explore how an effective AIOps...
Data engineering
Case Study
How to modernize mission-critical communications on AWS
Case Study How to modernize mission-critical communications on AWS
A global leader in business and consumer credit reporting and fraud prevention services partnered with Grid Dynamics to modernize how it communicates with millions of customers in real time. Every delayed or missed customer-facing, event-triggered notification can erode trust, disrupt experiences,...
Demo
SDLC Control Tower
Demo SDLC Control Tower
The software development life cycle (SDLC) doesn't always go exactly to plan. It often involves shifting priorities, unexpected setbacks, and a steady stream of complex software development analytics to make sense of. The SDLC Control Tower is designed to bring clarity to this complexity, offer...
White Paper
4 advanced techniques to make your data AI-ready
White Paper 4 advanced techniques to make your data AI-ready
From retail to manufacturing, and from financial services to healthcare, every industry is eager to capitalize on the potential of artificial intelligence. But AI-ready data is essential to realizing that promise. To truly unlock that potential, AI solutions for enterprises must be built on a fou...
Article
Data as a product: The missing link in your AI-readiness strategy
Article Data as a product: The missing link in your AI-readiness strategy
Most enterprise leaders dip their toe into AI, only to realize their data isn’t ready—whether that means insufficient data, legacy data formats, lack of data accessibility, or poorly performing data infrastructure. In fact, Gartner predicts that through 2026, organizations will abandon 60% of AI pr...
Ebook
Top 5 insurance technology trends to watch in 2025
Article
Accelerating enterprise data migrations: A GenAI recipe
Article Accelerating enterprise data migrations: A GenAI recipe
An average company adopting cloud today could achieve 180% ROI in business benefits, although few are getting close to these returns. Migrating or replatforming to a cloud data platform is a complex process. Even a basic "lift-and-shift" migration requires careful planning—designing the target...
Demo
GenAI Data Migration
Demo GenAI Data Migration
The GenAI Data Migration aims to minimize the time and complexity involved in code migration, upgrades, or replatforming projects. It utilizes modern LLMs for detailed code parsing, identifying dependencies, and transforming code into instructions or alternative snippets. It is also capable of gene...
Demo
Data Observability
Demo Data Observability
The Data Observability tool simplifies data quality onboarding for modern businesses by offering checks for tabular, structured, and unstructured data. It includes built-in quality assessments for null/missing values, statistical distributions, data freshness, volume, and anomaly detection through...
Ebook
Pharma Industry Trends: Big Data, AI and the Future
White Paper
Multimodal biomedical AI: Applications and challenges in pharma, MedTech, and healthcare
Case Study
How a Fortune 500 manufacturer reduced time-to-market for industrial tools using a data observability framework
Media & News
Data democratization, the Goldilocks choice and culture change
Media & News Data democratization, the Goldilocks choice and culture change
Originally published in Forbes Enterprise companies accumulated massive amounts of data over the years in pursuit of the promised rewards of big data. The question that now often comes from management is, “There must be some value, somewhere—can’t you find it?” The data democratization moveme...
Article
Data quality control framework for enterprise data lakes
Article Data quality control framework for enterprise data lakes
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...
Article
Data quality monitoring made easy
Article Data quality monitoring made easy
Having complete control over data quality can seem daunting and prohibitively expensive. But is that really true? Is it as difficult as it seems? There are many tools out there in the marketplace to help with data quality, but it’s true that many of them are pricey, have a steep learning curve,...
Article
How regular data monitoring creates a healthy lifestyle for your business
Article How regular data monitoring creates a healthy lifestyle for your business
It’s no secret that leading a healthy lifestyle improves your overall quality of life. A healthy lifestyle involves following a good diet, limiting excessive alcohol or smoking, taking the time to exercise, and getting enough sleep. This same philosophy can be applied to the way your business t...
Article
5 steps to implementing a successful DataOps practice
Article 5 steps to implementing a successful DataOps practice
After the initial excitement that data lakes would help companies maximize the utility of their data, many companies became disillusioned by rapidly diminishing returns from their big data efforts. While it was easy to put large volumes of data in the lakes, turning that data into insights and real...
White Paper
Data platform: Orchestration, catalog, and quality
White Paper Data platform: Orchestration, catalog, and quality
In an era marked by growing velocity, volume, and variety in data, managing this constant influx of competing data points and information is crucial for businesses aiming to stay ahead. Data platforms help achieve this—but building and customizing them is key to success. In our experience workin...
Article
Why you need data quality automation to make data-driven decisions with confidence
Article
Delivering actionable insights in real-time by moving from batch to stream processing: A digital media case study
Article
How to achieve in-stream data deduplication for real-time bidding: A case study
Article
Deploying and running an in-stream process service as a “Developer sandbox”
Article Deploying and running an in-stream process service as a “Developer sandbox”
Article
Visualizing insights with an analytics dashboard
Article Visualizing insights with an analytics dashboard
