Home Insights

Insights

Trending

How to use GCP and AWS big data and AI cloud services from Jupyter Notebook

Anna Safonova
Aug 03, 2020 • 19 min read

Read the article where described the Grid Dynamics machine learning domain specific language (ML-DSL) library. It is used with Jupyter notebooks to simplify the data scientist’s experience of interacting with cloud platforms (Amazon AWS, Google Cloud Platform) to implement ML/DS pipelines....

View the article

Digital Transformation

A rapid response to COVID-19
supply chain and market shocks: Emerge from the crisis stronger

Featured post

Ilya Katsov
Apr 06, 2020 • 18 min read

A rapid response to COVID-19 supply chain and market shocks: Emerge from the crisis stronger

Practical recommendations to technology and business leaders on how advanced data analytics and engineering capabilities can be leveraged to rapidly and efficiently respond to the COVID-19 disruption....

Learn more

Digital transformation requires new technology partnerships and Agile co-innovation

Featured post

Max Martynov
Dec 30, 2019 • 11 min read

Digital transformation requires new technology partnerships and Agile co-innovation

A successful digital transformation benefits from new technology partnerships with Agile co-innovation companies. These companies bring a fresh perspective of co-creation through strategic partnerships, replacing the old concept of outsourcing or outstaffing....

Learn more

Latest post

Launch new digital services faster with distributed teams and agile co-creation delivery model

Victoria Livschitz
Mar 30, 2020 • 7 min read

Unified commerce: Making the most of a true omnichannel experience

Max Martynov
Feb 03, 2020 • 7 min read

Delivering digital transformation: Why automation and creating a high-performance engineering culture are vital to digital success

Ezra Berger
Jan 21, 2020 • 6 min read

Art.com helps customers find art they love with visual search

Eugene Steinberg
Nov 15, 2018 • 4 min read

View more Digital Transformation articles

Data Science & AI

Building a Next Best Action model using
reinforcement learning

Featured post

Ilya Katsov
May 15, 2019 • 19 min read

Building a Next Best Action model using reinforcement learning

Modern customer analytics and personalization systems use a wide variety of methods that help to reveal and quantify customer preferences and intent, making marketing messages, ads, offers, and recommendations more relevant and engaging. However, most of these methods are designed to optimize only one immediate interaction with a customer and...

Learn more

Latest post

Big Data

Why you need data quality automation to make data-driven decisions with confidence

Featured post

Max Martynov
Oct 29, 2019 • 7 min read

Why you need data quality automation to make data-driven decisions with confidence

The cascade effect caused by the lack of data quality monitoring can become severe enough to impact the entire enterprise negatively....

Learn more

Latest post

Which Enterprise Data Warehouse performs better for your workloads?

Dmitry Karachentsev
Jun 30, 2020 • 15 min read

How to create a serverless real-time analytics platform: a case study

Ivan Petrushin
Jan 16, 2018 • 12 min read

Delivering actionable insights in real-time by moving from batch to stream processing: a digital media case study

Dmitry Mezhensky
Nov 14, 2017 • 7 min read

Top business drivers of real-time analytics and machine learning in retail

Victoria Livschitz
Oct 31, 2017 • 6 min read

View more Big Data articles

Cloud and DevOps

DevOps 2.0 is here, and it’s time to put end-to-end continuous delivery pipelines behind every project.

Featured post

Max Martynov
May 08, 2019 • 8 min read

DevOps 2.0 is here, and it’s time to put end-to-end continuous delivery pipelines behind every project.

Implementing end-to-end continuous delivery at the enterprise level has always been a challenge. It is a complex problem that requires simultaneous improvements across an organization’s structure, culture, application architecture, infrastructure and change management processes. This challenge is made more difficult by the fact that focusing improvement on only one...

Learn more

Latest post

Avoid the monolithic release process when migrating to microservices

Max Martynov
Sep 16, 2020 • 5 min read

Developing a modular pipeline library to improve DevOps collaboration

Sergei Parshev
Dec 20, 2018 • 12 min read

More details on building cloud-portable DevOps stack with Mesos and Marathon

Sergey Plastinkin
Jan 03, 2017 • 7 min read

DevOps stack for In-Stream Processing Service using AWS, Docker, Mesos, Marathon, Ansible and Tonomi

Sergey Plastinkin
Dec 13, 2016 • 9 min read

View more Cloud and DevOps articles

Search

Featured post

Eugene Steinberg
Jan 23, 2020 • 10 min read

Not your father’s search engine: a brief history of retail search

Since the dawn of ecommerce in the end of the nineties, online retailers have coined a famous “If they can’t find ‘em, they can’t buy ‘em” motto, which stands today as fresh as ever. Online shoppers have a lot of choices, and their patience is getting ever shorter:...

Learn more

Latest post

Vector space retrieval model for e-commerce

Stanislav Stolpovskiy
Sep 04, 2020 • 11 min read

High-performance auto parts search: moving from Endeca to Elasticsearch

Eugene Steinberg
Jun 23, 2020 • 7 min read

How to replatform Endeca rules to Solr

Stanislav Livotov
Apr 07, 2020 • 8 min read

Boosting product discovery with semantic search

Dmitry Sobolev
Mar 13, 2020 • 15 min read

View more Search articles

UI and Mobile

Android or iOS for retail?
You need both!

Featured post

Max Martynov
Jul 24, 2019 • 6 min read

Android or iOS for retail? You need both!

Develop apps for both platforms using the cross-platform development tool, Flutter Many retailers face a tough decision: should their mobile retail shopping app support Android or iOS? They feel their limited resources cannot be stretched to build and support both platforms, so they often pick just one. Some retailers may...

Learn more

Latest post

iOS Architecture Patterns for Large-Scale Development, part 1: Modular architecture

Egor Zubkov
Aug 26, 2020 • 7 min read

Progressive Web Apps: Comparison of PWA with Other Approaches to Build Mobile User Experience

Kirill Arshuk-Popov
Apr 27, 2020 • 26 min read

Evolution of CMS and overview of modern DXP platforms

Ihor Syrov
Mar 06, 2020 • 14 min read

A low mobile app rating leaves money on the table

Max Martynov
Sep 19, 2019 • 4 min read

View more UI and Mobile articles

Quality Assurance

Challenges of Continuous Performance Testing

Featured post

Mikhail Klokov
Sep 05, 2016 • 2 min read

Challenges of Continuous Performance Testing

Implementing Continuous Performance Testing doesn't have to be hard. Grid Dynamics has many years of CPT experience and can help you implement it smoothly....

Learn more

Latest post

Yes, you can have it both ways: in-sprint QE automation improves code and accelerates development speed

Maksym Usichenko
Oct 03, 2018 • 6 min read

Continuous Performance Testing (CPT) with Jagger

Mikhail Klokov
Oct 04, 2017 • 12 min read

Six design principles of Continuous Performance Testing

Victoria Livschitz
Oct 11, 2016 • 8 min read

How to extend CI pipelines with Continuous Performance Testing

Victor Samoylov
Sep 21, 2016 • 3 min read

View more Quality Assurance articles

Omnichannel Commerce

How to build a pricing engine for e-commerce promotions and offers

Featured post

Max Martynov
Nov 08, 2018 • 12 min read

How to build a pricing engine for e-commerce promotions and offers

The convergence of in-store and online retail operations in recent years has put significant new demands on the management of pricing, offers, and promotions as compared to pre-omnichannel times. The outdated, simplistic approaches to determine the price of products and promotional offerings are still prevalent in the industry, leading to...

Learn more

Grid Genie: the beginning of conversational commerce

Featured post

Eugene Steinberg
Jun 20, 2018 • 7 min read

Grid Genie: the beginning of conversational commerce

Retail is on the brink of yet another technological breakthrough. AI devices like Siri, Alexa, Google Home, and virtual assistants of all kinds are rapidly becoming trusted and dependable aides to many people. Technology companies led by Amazon, Google, Apple, and Microsoft are rushing to grab the market of AI...

Learn more

Latest post

WSO2 vs GraphQL: overview and comparison of open source API management products

Anna Muslimova
Mar 23, 2020 • 27 min read

ATG’s black box blocking your e-commerce view? Replatform with microservices

Max Martynov
Jan 16, 2020 • 7 min read

How we built a conversational AI for ordering flowers over Amazon Alexa or Google Home

Sergey Parakhin
Nov 05, 2019 • 18 min read

Will “Database as a Service” work for retail inventory management? A case study

Insights

A rapid response to COVID-19 supply chain and market shocks: Emerge from the crisis stronger

Digital transformation requires new technology partnerships and Agile co-innovation

Launch new digital services faster with distributed teams and agile co-creation delivery model

Unified commerce: Making the most of a true omnichannel experience

Delivering digital transformation: Why automation and creating a high-performance engineering culture are vital to digital success

Art.com helps customers find art they love with visual search

Subscribe to our latest Insights

Building a Next Best Action model using reinforcement learning

Semantic query parsing blueprint

How to use GCP and AWS big data and AI cloud services from Jupyter Notebook

Industrial label recognition made easy with AutoML

Add anomaly detection to your data with Grid Dynamics accelerator

Why you need data quality automation to make data-driven decisions with confidence

Which Enterprise Data Warehouse performs better for your workloads?

How to create a serverless real-time analytics platform: a case study

Delivering actionable insights in real-time by moving from batch to stream processing: a digital media case study

Top business drivers of real-time analytics and machine learning in retail

DevOps 2.0 is here, and it’s time to put end-to-end continuous delivery pipelines behind every project.

Avoid the monolithic release process when migrating to microservices

Developing a modular pipeline library to improve DevOps collaboration

More details on building cloud-portable DevOps stack with Mesos and Marathon

DevOps stack for In-Stream Processing Service using AWS, Docker, Mesos, Marathon, Ansible and Tonomi

Not your father’s search engine: a brief history of retail search

Vector space retrieval model for e-commerce

High-performance auto parts search: moving from Endeca to Elasticsearch

How to replatform Endeca rules to Solr

Boosting product discovery with semantic search

Android or iOS for retail? You need both!

iOS Architecture Patterns for Large-Scale Development, part 1: Modular architecture

Progressive Web Apps: Comparison of PWA with Other Approaches to Build Mobile User Experience

Evolution of CMS and overview of modern DXP platforms

A low mobile app rating leaves money on the table

Challenges of Continuous Performance Testing

Yes, you can have it both ways: in-sprint QE automation improves code and accelerates development speed

Continuous Performance Testing (CPT) with Jagger

Six design principles of Continuous Performance Testing

How to extend CI pipelines with Continuous Performance Testing

How to build a pricing engine for e-commerce promotions and offers

Grid Genie: the beginning of conversational commerce

WSO2 vs GraphQL: overview and comparison of open source API management products

ATG’s black box blocking your e-commerce view? Replatform with microservices

How we built a conversational AI for ordering flowers over Amazon Alexa or Google Home

Will “Database as a Service” work for retail inventory management? A case study