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Jul 10, 2020 | by EastBanc Technologies

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.

Jul 9, 2020 | by Polina Reshetova

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.

Jun 30, 2020 | by Catherine Paganini, Wolf Ruzicka

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.

Jun 9, 2020 | by Polina Reshetova

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.

Jun 2, 2020 | by Polina Reshetova

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

May 25, 2020 | by Wolf Ruzicka

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.

May 7, 2020 | by Levon Paradzhanyan

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.

Apr 29, 2020 | by Polina Reshetova

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.