What the Tech?

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...

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...

Demystifying Deep Learning and Artificial Intelligence

In part two of this series, we explored how computers can learn from data using machine learning (ML) — without explicit programming or instructing the flow and logic of learning processes. We also explained how computers can discover and learn patterns and correlations from any data — no matter where it comes from or what it is about. 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...

Primer: Demystifying Data Science

Artificial Intelligence emerged in our lives many years ago. First, as science fiction and today embedded in real products. It has since been followed by newer buzzwords such as data science, machine learning, and deep learning. 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...

How the COVID-19 Crisis has Accelerated Digital Darwinism

For those who were still debating whether they should hop on the digital transformation bandwagon, the COVID-19 crisis was a wakeup call, maybe even a slap in the face. Read More...

A Primer: Continuous Integration and Continuous Delivery (CI/CD)

Continuous integration and continuous delivery (CI/CD) is one of the driving forces behind DevOps. If your organization is considering a DevOps approach, CI/CD will be part of it. Read More...

Demystifying DevOps: Essential Building Blocks of a DevOps Approach

If your organization leverages technology as a differentiator, a DevOps approach to application and service delivery is inevitable. The benefits are just too great. Read More...

Demystifying DevOps — A Peek Behind the Digital Transformation Curtain

February 21, 2020

The business world can’t stop talking about digital transformation and 2020 is expected to see the rapid scaling of digital initiatives across all sectors. When it comes to DevOps (often intertwined with the concept of digital transformation), however, business leaders are still scratching their heads. Read More...

Primer: Distributed Systems and Cloud Native Computing

November 23, 2019

Software is becoming a strategic competitive differentiator across industries — today's race towards digital transformation is proof of it. Enterprises are investing (often millions of dollars) in technology to better serve their customer base. Read More...

Primer: How Kubernetes Came to Be, What It Is, and Why You Should Care

For business people, grasping the essence of Kubernetes can be challenging. Most content out there is written for a technical audience and assumes a lot of context non-technical typically people don't have. Read More...

Digital Transformation: Transitioning from a legacy system to a modern, lightweight approach

Digital transformation is one of today’s biggest buzzwords. Everyone is talking about it; everyone wants it. We all know the role technology is playing in enabling businesses to innovate at an unprecedented pace. Read More...

For Big Data Insights, Start Small: Follow the Data Breadcrumbs

The data on big data indicates that up to 60% of analytics projects fail or are abandoned, costing companies an average of $12.5 million. That’s not the result we seek from data lakes. Instead, companies are increasingly finding themselves mired in data swamps that are overfilled and too muddy to offer any useful visibility. Or are they? Read More...

Pushing AI to the Edge: Be Part of the Revolution

September 10, 2018

Artificial intelligence (AI) surrounds us. It unlocks our phones, creates our shopping list, navigates our commute, and cleans spam from our email. It’s making customers’ lives easier and more convenient. Read More...

A Cure for the 'Not Invented Here' Syndrome

Technology is accelerating at such a rate that it permeates all industries. In fact, software is the only industry that cuts horizontally across all verticals. Read More...

An Elastic Approach to Production and R&D: Back to the Roots

Innovation is a critical part of business. While prioritizing production in general makes sense, the best approaches make innovation a component of the whole production process. Read More...

How to Measure the Success of Your Analytics Projects

January 22, 2018

We recently sat down with a large pharmaceutical company to discuss their data analytics projects. What we heard wasn’t a surprise. Three of the four large analytics efforts they undertook last year had failed. Read More...

Using Predictive Analytics to Improve Lead Conversion Rates

January 16, 2018

AMS Group is a cohesive group of established companies that provide technology and security equipment to aerospace, defense, and security markets. Read More...

Data Insights Stop the Churn and Boost Product Revenue Growth

December 18, 2017

A European market leader in online survey and feedback software acquired complementary companies in different Wester European countries, each of which had its own survey platform. Read More...

What You Need to Know Before Embarking on Your Next Data Analytics Project

October 11, 2017

Gartner predicts that through 2017 60% of big data projects will fail to go beyond piloting and experimentation and ultimately will be abandoned. Read More...

1
2
>