What the Tech?

From Experiments to Production with Azure Machine Learning

January 14, 2021

Learn how machine learning engineers and data scientists collaborate and roll out models faster and with ease using Azure Machine Learning. Read More...

DevOps FAQ │ Part 1

December 16, 2020

What is DevOps, what are DevOps practices, and how do you implement DevOps? Your FAQs answered. Read More...

Working Effectively with Legacy Systems

October 22, 2020

Refactor, rewrite, or leave as is? Learn when and how to bring your legacy systems up to speed with modern application development practices. Read More...

Understanding Software and System Architecture for Business Leaders

October 16, 2020

Learn how technology can better meet your business needs with this foundational understanding of how software and system architectures work. Read More...

The Benefits of AI in the Cloud vs. On-Premises | EastBanc Technologies

October 8, 2020

Ready to embrace AI? Explore why cloud computing is the best infrastructure for your AI model, not on-premises. Read More...

Distributed Systems and Cloud Native Computing Demystified

September 30, 2020

Software is a strategic differentiator that can catalyze digital transformation. Organizations are investing in technology, such as modern cloud services, to drive efficiencies and increase the customer experience. To make this a reality, it’s essential that business leaders have a basic understanding of business software and applications work and the opportunities they bring. Read More...

How to Digitally Transform Your Support System with a Proactive vs. Reactive Approach

September 23, 2020

How an intelligence-driven customer technical support approach can transform your support from a reactive operation to a streamlined, efficient, and proactive operation. Read More...

What is Kubernetes, How Did it Come to Be, and Why Does It Matter?

September 9, 2020

Kubernetes is a popular container orchestration system, but how did it come to be and why, and what role does it play in digital transformation? Read More...

CI/CD Explained: A Guide for Business Leaders

August 26, 2020

Continuous integration and continuous delivery (CI/CD) is integral to a DevOps approach to software development. But what is CI/CD and why is it key? Read More...

Deep Learning and AI Demystified

August 19, 2020

This article is the third in a series that aims to demystify data science , machine learning, deep learning, and artificial intelligence (AI) – while exploring how they are interconnected. Read More...

DevOps Explained – A Guide for Enterprise Leaders

August 11, 2020

2020 has seen profound change in the way we live and work with COVID-19 accelerating the pace of digital transformation. Yet, business leaders are often confused about how to implement one of the key enablers of... Read More...

Primer: All You Need to Know About Data Science

Artificial intelligence (AI), together with its brethren buzzwords data science, machine learning, and deep learning have been around for some time now and are no longer future concepts. Yet misconceptions persist about the true meaning of these terms. Read More...

SUSE Acquires Rancher Labs: Is the Cloud Native Promise Under Threat from Consolidation?

When SUSE, the world’s largest independent open source company, announced its acquisition of Rancher Labs in early July 2020, the industry took notice. Clearly, the Kubernetes management industry is very much alive. Read More...

To Digitally Transform, Business Leaders Must Become Tech-Savvy

We live in a technology-driven world. Even non-technology companies are seeing their business models increasingly shaped by technology. Led by disrupters such as Amazon and Netflix, those enterprises who recognized opportunities early have found ways to extend the analog experience into a digital one. Even creating new revenue streams that they could never have predicted. Read More...

Digital Transformation 101

Digital transformation is about delivering core competencies in a digital, automated, and user-centric manner. Driven by data and powered by tech (e.g. cloud, cloud native stack, AI, machine learning, and deep learning), it increases business agility, competitiveness, and enhances customer value. Read More...

What is DataOps and Why It Matters

Let’s start by understanding where DataOps falls in the line-up of current IT methodologies. DataOps is the next level up from ETL (extract, transform, and load) and MDM (master data management systems) in terms of organizing data and processes. It can also be thought of as a methodology that combines DevOps and Agile within the field of data science. Read More...

If We Were Marriott – We’d Build a Digital Future While Leveraging Brick and Mortar Assets

The hotel industry hasn’t changed much in the past decades. While they have introduced some level of digitization such as websites and apps, they haven’t fully embraced digital transformation. Indeed, if things are working fine, why change? Because the next unforeseen disruptor may be right around the corner. Read More...

Demystifying DataOps: What We Need to Know to Leverage It  

The term “DataOps” has picked up momentum and is quickly becoming the new buzz word. But we want it to be more than just a buzz word for your company, after reading this article you will have the knowledge to leverage the best of DataOps for your organization. Read More...

Harnessing the Power of Text Analysis

Unstructured text is found in many, if not all business functions, and can become a source of valuable insight. Product reviews will guide your customers’ preferences, customer support chats can identify Read More...

If We Were WeWork – How We’d Merge Physical and Digital Workspace

Disclaimer: We have not spoken to a WeWork executive and have no further background information. This is merely a thought experiment to exemplify what digital transformation is about. Read More...

Demystifying Machine Learning: How ML Discovers New Information

In part one of this series, we defined data science and explored the role of a data scientist — including data preparation, modeling, visualization, and discovery. We also introduced the role of a machine learning engineer who closely collaborates with the data scientist. Read More...

Leveraging AI to Make Sense of Your Mounds of Data

Big data continues to grow exponentially creating a critical need for solutions that can make sense and extract valuable information from it. For example, the Internet is full of a wide variety of constantly growing text sources— blog posts, forum posts, chats, message boards, item and services reviews, etc. Read More...

Blue-Green Deployments and Canary Releases

Blue-green deployments and canary releases mitigate application deployment risk by enabling IT to revert back to the previous version should an issue occur during the release. Switching back and forth between versions Read More...

How Packaged AI Services are Democratizing AI

With the increasing popularity of machine learning (ML), it’s becoming more difficult for data scientists to find the appropriate tools for a specific task and decide on a robust approach. Should they stick to the basics and code everything from scratch or use one of the many pre-built tools that keep popping up on the market? Read More...

Kubernetes & Enterprise Components Architecture

Kubernetes, the de facto container orchestrator, is great and should be part of any DevOps toolkit. But, just as any other open source technology, it’s not a full-fletched ready-to-use platform. Read More...

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