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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 […]

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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 […]

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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, […]

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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 […]

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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 […]

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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 […]

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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 […]

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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 […]

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