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GIS as a Data Science Framework
Date: September 17, 2018
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Situation Overview

With the world being more interconnected than ever before, maps and geolocation data have become commonplace. Yet, the data on its own isn’t that easy to comprehend unless it is visualized, something that’s made possible via specialized plots. These plots involve maps and enable the end-user to understand the data better and pinpoint potential signals that may exist in the data at hand.

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Optimization and Its Usefulness in Modern Organizations
Date: June 15, 2018
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Situation Description

Many organizations today face situations where a particular adjustable aspect of their pipeline is set arbitrarily and more often than not, inefficiently. For example, how often restocking takes place, or the time of interaction with potential clients through social media. Although these “parameters” of the organization’s function don’t seem to matter much, they often influence the end result in subtle and usually non-obvious ways, leaving those in charge of these matters unconcerned (and sometimes baffled).

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Blockchain and Hashgraph as Distributed Ledger Technologies
Date: June 15, 2018
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Ledgers, Distributed and Otherwise

A Distributed Ledger Technology (DLT) is a modern IT innovation enabling the forming of consensus across a distance, within a reasonable amount of time. This makes things like crypto-currencies feasible and practical, as far as the technical aspects of them are concerned. The main challenge that DLTs overcome is creating consensus, since achieving this among different parties that don’t know each other is difficult, especially if a high level of security is required.

What all this means is that with DLT you don’t have any need whatsoever for a middle man, to coordinate the whole process of the transaction, something that translates to better efficiency and lower cost for the user. This, combined with the high level of security a DLT offers, makes it a very promising technology that can benefit various industries.

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Apache Mesos and Its Benefits in Spark Streaming and Big Data in General
Date: February 5, 2018
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Situation Overview

Nowadays there is a plethora of big data tools and frameworks, each with a unique set of advantages. This is particularly pronounced in the case of streaming data. Inevitably, most organizations end up using a set of these systems for their data analytics needs. So, before they know it, they end up with a mosaic of tools, which somehow much coordinate and liaise with the big data governance platform the organization is using (e.g. Spark).

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Prescriptive Analytics: Today’s Fringe of Data Science
Date: December 30, 2017
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Prescriptive Analytics: Today’s Fringe of Data Science

Abstract

Data science today seems to focus a lot on predictive analytics, one of the key differentiators of the field. However, as the demand for insight grows, the expectations of data science’s deliverables grow too. Prescriptive analytics appears to be what most organizations need today and expect to some extent from data science, even if this expectation remains tacit and not clearly communicated. Understanding this aspect of data science and having it in mind when figuring out a solution, be it an in-house one, or a contract-based one, is bound to benefit an organization tangibly, while also provide a more holistic view of data science as a tool for deriving actionable insights that can positively impact your organization’s ROI.

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Chatbots – A Practical Use of AI and NLP That Can Benefit Your Organization Today
Date: October 24, 2017
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Situation Analysis

Since the late 2015, messaging apps have been dominating the market, when it comes to communicating over the web (see chart). This trend doesn’t seem to be subsiding any time soon and several companies have recognized it as the status quo of the infosphere. Although most of the communication that takes place there is text-based and fairly shallow, people still prefer it due to the convenience it offers, its speed, and its ease of use. As mobile devices are becoming more and more widespread and NLP / AI technologies more robust, these messaging apps are becoming more sophisticated. This manifests as a larger amount of them, but most importantly, on the a business case for chatbots, intelligent systems that handle natural language in a useful way, be it to help the user carry out tasks, retrieve valuable information, or just make contact with an organization.

Identified Problems (more…)

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Topic Extraction and Its Usefulness in Data Science Ready Organizations
Date: August 3, 2017
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Situation Analysis

Text data is very valuable resource that’s also in abundance, nowadays. Apart from the text within an organization’s documents, there is plenty of text freely available on the web, containing useful signals waiting to be harnessed. However, oftentimes this text is raw, without any labels to provide some kind of hint as to how it would be best used, through a data analysis method or some ETL process. As a result, this resource is not properly utilized, or at the very least, it doesn’t fulfill its potential, to the extent that it can positively affect the bottom line. (more…)

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How Data Science Is Turning into a Commodity for the Non-expert and Dexda’s Role in This
Date: July 10, 2017
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Introduction

Few can argue that Data Science is an evolving field. Ever since its inception it has been changing, adopting new methods and technologies, while expanding its solution spectrum to address more and more industry problems. Through this journey, its existence became more well-known, and it gained a following of dedicated enthusiasts who flocked to learn more about this or the other tech data science encompasses. A couple of the things that remained relatively obscure, however, was the consumer of data science and the hows and whys of the machine learning methods used.

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Sentiment Analysis – A Valuable Tool for Gaining an Edge in Your Industry
Date: July 6, 2017
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Situation Analysis

These days having an edge in a domain requires more than just knowledge of it and good connections with the key players. Oftentimes, you need to have a solid understanding of the market pulse as well as some insight in how your competitors are faring. Because the conventional information that most organizations operate with can only get you so far. To go beyond that, you need to have something that is not accessible by everyone, at least not readily accessible. However, managing that while still operating within legal and moral parameters is not an easy task.
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SMACK Stack – A Modern Tool Set for Data Science
Date: May 8, 2017
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What Is SMACK?

The combination of various powerful data science tools is not something new. However, even though most data science tool sets focus on delivering the key aspects of data analytics for big data scenarios, some of them go beyond that. One such tool set that is able to handle not just big data but also event processing and doing so in a very fast manner, is the SMACK stack, which stands for the names of the tools it comprises of: Spark (the main processing engine of the framework), Mesos (the container of the whole ecosystem), Akka (the data model), Cassandra (the system handling storage and retrieval of data), and Kafka (the broker).
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