Blogs

I often struggle to explain the value of ontologies to my clients. The word ‘ontology’ itself sounds complicated, academic, pompous, bombastic, and irrelevant. For that matter, the word bombastic always struck me as, well,
. . . bombastic.

Nevertheless, when you try to look up ‘ontology’ in everyone’s favorite dictionary, err, google, you get an even less helpful definition:

NOUN

1. 1. the branch of metaphysics dealing with the nature of being.

It really can’t get much more clearly unhelpful than that. At least their 2nd definition seems a little bit more relatable for our purposes:

1. 2. a set of concepts and categories in a subject area or domain that shows their properties and the relations between them.

There are a certain set of timeless skills that one should aim to develop over the course of their career in the field of data science:

A two-blog series on what data science can do, with real world examples.

A two-blog series on what data science can do, with real world examples.

Introduction

 

Let me start by saying that this is not an article about big data.  While the source of big data is external to your organization, it is a topic of its own.  Many of the concepts and approaches discussed will definitely apply to your big data initiatives, but that won’t be the focus of this article.

Introduction

Inter and Intra business communications turn out to be perpetually mind boggling, the need to successfully manage time and assets winds up the key. All things considered, and coupled with huge interest in infrastructure and service, the interest for project management (PM) aptitude in Africa has expanded significantly over a wide assortment of Industries. Africa is a market of middle class consumers which is expected to reach 1.1 Billion by 2060 and will need to cater for maintaining the Master data of the customers. The best possible option is using Master Data Management tools and this will lead to more development projects eventually more project managers to make sure everyone works together as a well-coordinated team. Currently the need for project management is on high in Africa, but MDM project managers are rare.

Why Big Data in Healthcare is so required?

 

Why upgrade?
Clients ask me all the time, why? Why do we need to upgrade? We are happy with the way the software is working? if it ain't broke, don't fix it!

Overview

The move to the cloud is fully in force, and therefore the variety of organizations’ integrated knowledge in hybrid environments has multiplied two-fold. Nearly three-quarters of respondents’ integrated knowledge in hybrid and cloud environments claimed poor knowledge quality in cloud services, restricted API access, company security and compliance policies as being among the key problems in implementations. The largest issue among all was an absence of data and skills contained inside their organization’s IT departments on the way to integrate with cloud services.