July 23, 2021
Off the shelf vs custom models

Off-the-shelf vs Custom Machine Learning Models?

When is building better than buying an off-the-shelf solution? Companies can engage in different approaches to model development. From fully managed ML services, all the way to custom models. Depending on business requirements, available expertise, and planning constraints, they must make a choice: should they develop custom solutions from scratch? Or should they choose an off-the-shelf service? For all stages of ML workloads, a decision […]
January 11, 2021
How ML and data were crucial in fighting COVID-19 in 2020.

The Data Race Against The Pandemic, Together

How ML and data were crucial in fighting COVID-19 in 2020 as a united global community. 2020 was a year like no other. The global pandemic brought along countless challenges for governments, health organizations, and frontline workers. As the virus rapidly spread across continents and lockdown measures hardened on a weekly basis, an entire world joined the fight. Academic labs, companies, startups, foundations, NGOs, and […]
December 8, 2020
3 New features of SageMaker keep AWS at the forefront of MLaaS innovation: Data Wrangler, Feature Store, and Pipelines.

AWS SageMaker: AutoMagically

3 Magical features of SageMaker that keep AWS at the forefront of MLaaS innovation: Data Wrangler, Feature Store, and Pipelines. Intro SageMaker is one of the earliest Machine Learning as a Service (MLaaS) offerings that supports end-to-end ML workflows. It offers developers, researchers, and data scientists a way to build, train, and deploy models on managed cloud infrastructure. Since its initial release in 2017, SageMaker […]
December 7, 2020
Data House matching gif

The Science of Real Estate: Matching and Buying

Your data knows you best, let it find your dream home.  The real-estate industry sits on tons of data that goes unused every year. In this article, we discuss how advanced technologies are helping real estate investors, brokers, and companies utilize the mass amount of information within the industry to help people find their dream homes. In 2017, a Field Actions Science Reports article addresses […]
November 25, 2020
Optimization Modeling (1)

Optimization Modeling Intro

Intro The hardest engineering, scientific and statistical problems of our times are being tackled by means of mathematical optimization. Operating at the core of most statistical techniques and machine learning methods, optimization is what allows algorithms to transform large numbers of random variables into understandable and actionable observations.  However, the optimization concept is by no means only limited to computer scientists, engineers, and statisticians. On […]
November 18, 2020
Models for CLTV

3 Best Machine Learning Models to Predict Customer Lifetime Value (CLTV)

The 3 best machine learning models to solve predictions of customer lifetime value estimations are clustering, multi-class classification, and...
November 18, 2020
How Players and Developers Benefit From Gamer Data

How Players and Developers Benefit From Gamer Data

Players enjoy increasingly personalized experiences, while marketing teams and business analysts can understand their behavior better than ever.
November 5, 2020
Snowflake - Build vs Buy

Cloud Architecture: Build vs. Buy?

What type of organizations should build their own cloud infrastructure, which should go with a platform like Snowflake?
October 28, 2020

Blue Orange named a Top AI Development Partner 2020

"We are honored that our focus and ability to deliver consistently designate us as a leading Artificial Intelligence Consulting and Development Firm." –Josh Miramant, CEO Blue Orange Digital
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