Systems | Development | Analytics | API | Testing

Using AI/ML to Increase Gaming Monetization

Gamers are not shy about reaching into their wallets for premium content and features. They also won’t hesitate to tap the uninstall button at the first sign of trouble. It’s not uncommon for a gamer to boot up a hotly anticipated new game or revisit an old favorite only to put it down days or weeks later. The culprit is often gaming monetization issues that get in the way of what would otherwise be a long-term rewarding gaming experience.

7 ways to invest in and manage quality freelancers

Previously, hiring a freelancer was seen as a temporary solution for missing talent or gaps in a full time team. However, in today’s global economy, the remote worker has become a major player who brings constant value. The freelance market has grown enormously in the past two years. Statista projects 86.5 million people will be freelancing in the U.S. by 2027, making up 50% of the total U.S.workforce.

Choosing an ERP: 5 Reasons Your Company Needs NetSuite

Enterprise Resource Management (ERP) software. Business professionals have heard of it, but they may not understand how it can help their business. In short, an ERP gathers data from multiple departments, including accounting, human resources, sales and marketing, and inventory, into a central database. This database then allows members of management and other key employees to analyze their current processes, spot workflow weaknesses, and improve them.

The 6 Soft Skills Data Engineers Need to Succeed

Soft skills can be almost as important as data engineering skills when you apply for a job. Soft skills can make the difference between stress and efficiency or being unsatisfied with your position and a raise. When data engineers and data scientists earn bachelor’s degrees, they usually take classes in topics like data warehousing, programming languages, machine learning, and data science.

Five Strategies to Accelerate Data Product Development

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Accelerating Code Quality with DORA Metrics

What do Google’s DevOps Research and Assessment (DORA) and Rollbar have to do with each other? DORA identified four key metrics to measure DevOps performance and identified four levels of DevOps performance from Low to Elite. One way for a team to become an Elite DevOps performer is by focusing on Continuous Code Improvement.

Scaling Service Mesh Globally and Across Environments

A true service mesh should focus on how to manage and orchestrate connectivity globally. Connecting a new service mesh for each use case is a much simpler problem to solve, but doing so won’t help you scale. You’ll just be throwing a service mesh in each cluster and calling it a day.  The more appealing solution is to stitch together environments.

Buying Low-Code Automation: What to Look for and What to Ask

A revolution is transforming organizations and it's driven by low-code. Using low-code, organizations can quickly build—even in only a few weeks—enterprise applications that would once have taken months to get off the ground. Forrester predicts that by the end of 2021, 75% of development shops will use low-code platforms (up from just 44% in 2020).[1] With that kind of momentum it’s no wonder the low-code market is exploding.

How to ensure data integrity with analytics testing

Data collections and analysis is critical to ongoing business operations, but maintaining data integrity is an often overlooked problem. Ensuring data integrity is not only a consumer trust issue, but is often also mandated by legal regulations. Without accurate data, business leaders could make decisions that are slightly (or majorly) misguided.