Container Management in 2020: In-Depth Guide

Container is a standard way to package the code of an application and its associated dependencies. Containers are aimed at solving portability problems (i.e. those that occur when moving software from one environment to another) in an efficient and effective manner. Container management is a key part of containerization and reduces the complexity of interdependent systems by facilitating container distribution.

If you are not clear on what containers are, feel free to read our article about containerization to get more information. Read more


Self Service Reporting in 2020: In-Depth guide

Self-service reporting tools enable business users direct access to data which leads to faster access to data, reduced workload for technical personnel and alignment across different business units as those units rely on a single source of truth.

What is self-service reporting?

Self-service reporting is a component of self-service analytics that enables business users to generate reports and gain insights from data without relying on technical skills. These tools support creation of custom reports from any connected data source. Business users can use these tools to conduct their analysis and generate real-time dashboards via easy-to-use graphical user interfaces (GUIs) so that executives can make data-driven decisions without involving the tech team. Read more


Containerization in 2020: Guide to portable modern apps

The concept of the containers in computing emerged with companies need to serve their applications consistently and efficiently across a multitude of hardware and software stack. Modern technology companies make extensive use of containerization to be able to run their applications on different infrastructure (hardware or software) to

  • serve different customer groups
  • run their applications on a variety of platforms for different use cases like IoT
  • be infrastructure agnostic. Infrastructure agnostic companies can change their infrastructure with limited configuration to take advantage of different architectures for cost or other optimization reasons. This limits vendor lock-in.

What is containerization?

Containerization aims to enable applications to run consistently across different systems and infrastructures and minimize sources of error and inefficiency. Modern businesses rely on different on-premise platforms and private, hybrid and public cloud infrastructure. To enable consistent and efficient operations across these diverse infrastructure, they rely on containerization. Read more


Explainable AI (XAI) in 2020: Guide to enterprise-ready AI

According to PwC’s report on XAI, AI has a $15.7 trillion of opportunity by 2030. However, as AI tools become more advanced, more computations are done in a “black box” that humans can hardly comprehend. This lack of explainability is unable to satisfy the need for transparency, trust, and a good understanding of expected business outcomes. Explainability is key to enterprise adoption of AI because people don’t easily trust a machine’s recommendations that they don’t thoroughly understand. Read more


Recruiting AI in 2020: Guide to augmenting the hiring team

One of the biggest challenges that HR professionals are facing is finding the right talent. Recruitment teams spend time on partially automatable tasks such as resume screening, interview scheduling and interviewing. By using the latest advances in artificial intelligence, businesses can reduce the load of HR professionals and increase hiring effectiveness.

What is AI recruiting?

AI recruiting is applying machine learning on the recruiting related big data to improve the recruiting process of the organization. AI in recruitment is designed to reduce the time spent on repetitive, high volume tasks through automation. Read more