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The Cloud Challenge: Choice Paralysis and the Bad Strategy of “On-Premising” the Cloud

The cloud is vast. It is natural that we look at the cloud and understand it through the narrow lens of our previous experiences. This can translate into solutions that underutilize/overutilize one area of the cloud over other areas. Innovative and robust solutions often require the use of the full spectrum.

Most companies are migrating to the cloud because they want to unlock new business opportunities, but many of them stumble because they continue to build solutions that are only suitable for on-premises. Imagine your IT workloads are on servers that sit in the basement of your corporate office. Would moving these servers to the first floor of that office open any new opportunities for your business? Of course not. Lifting and shifting your servers to the cloud might save you money, but it certainly won’t take you any further. The first and most important thing to remember about the cloud is that the cloud is not a place, it is a model. Building for the cloud requires a mindset change, not a location change. 

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Role of Artificial Intelligence for Government

Introduction 

For the last 20 years, the research on artificial intelligence has been very aggressive, which has resulted in great innovations. Big data, robotics, medical research, and autonomous vehicles are some of the applications that emerged from AI development.

Government interest in AI has picked up in recent years as many government departments started to invest in AI in the form of pilot programs for various AI-based applications. AI adoption acts as a lever for transformational change in the way government services are conceived, designed, delivered, and consumed. It helps the government to provide integrated services to its citizens through the seamless flow of information across government departments. In addition, the adoption of AI helps in redesigning government processes, frees up staff, increases productivity, and improves citizen interactions.   

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Why Develop a Decentralized Application Architecture for Cloud-Native, API-centric, and Microservices Patterns

This article is outlining the cell-based architecture, which was published as an open specification on GitHub summer-2018. Our approach creates a pragmatic and technology-neutral reference architecture that addresses the requirement for agility. It can be instantiated to create an effective and agile method for digital enterprises, deployed in private, public, or hybrid cloud environments.

When I present the new architecture at technology events, one common question is the reason we are defining a new reference architecture in an already crowded market.  This article lists the motivating factors.  

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Making Sense of Unbounded Data

Unbounded data refers to continuous, never-ending data streams with no beginning or end. They are made available over time. Anyone who wishes to act upon them can do without downloading them first.

As Martin Kleppmann stated in his famous book, unbounded data will never “complete” in any meaningful way.

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Blockchain Reference Architecture

The blockchain design of today has moved beyond cryptocurrency. It has evolved into a platform that supports industry-wide use cases suitable for public and enterprise needs. The reference architecture shown below will serve as a foundation for building or implementing blockchain applications for industry-wide use cases.

It depicts a layered architecture that provides components and services necessary to implement blockchain applications for enterprise needs. It can be used to develop a blockchain of single or multiple networks (involving multiple business units or organizations) based on the business goals and objectives. One can follow the reference architecture to design both permissioned (private) as well as permissionless (public) blockchain applications.