DATA SCIENCE PARTNERSHIP
+44 (0) 208 133 0822
Chatbots – A Practical Use of AI and NLP That Can Benefit Your Organization Today
Date: October 24, 2017
|
Posted by:

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…)

Read more
Topic Extraction and Its Usefulness in Data Science Ready Organizations
Date: August 3, 2017
|
Posted by:

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…)

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

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.

(more…)

Read more
Sentiment Analysis – A Valuable Tool for Gaining an Edge in Your Industry
Date: July 6, 2017
|
Posted by:

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.
(more…)

Read more
SMACK Stack – A Modern Tool Set for Data Science
Date: May 8, 2017
|
Posted by:

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).
(more…)

Read more
Boosting Cybersecurity with the Use of A.I.
Date: May 3, 2017
|
Posted by:

Cybersecurity, the set of frameworks geared towards protecting computers and computer networks from malicious software and unwarranted access to computer systems, is a major concern across almost all industry sectors. After the recent hacks of various sites’ servers thought to be “secure” people have started to realize that the concept of security in the computer world is quite relative. Despite the tremendous efforts from the security experts side, the malicious hackers (aka crackers) appear to catch up to the newest security measures fairly quickly. Moreover, the fact that they have access to more and more computing power only makes things easier for the intruders. Could it be that Artificial Intelligence (A.I.) holds the key to keeping these cybercriminals at bay?
(more…)

Read more
Applications of Deep Learning to Real-World Analytics Scenarios
Date: April 4, 2017
|
Posted by:

What Is Deep Learning?

Many people talk about Deep Learning these days but few actually know what they are talking about. Fortunately there is a plethora of articles and books available on the topic. Yet, you don’t need to go anywhere else to find out more about this fascinating part of data science since Data Science Partnership is one of the places where this technology flourishes. In essence, Deep Learning is a series of machine learning methods that employ Artificial Intelligence (AI) in the form of sophisticated Artificial Neural Networks (ANNs), to tackle complex problems. There are a couple of catches though. First of all, in order to do something useful with Deep Learning you need to have a lot of data. Also, in order to make the most of this data using Deep Learning, you need to have people who know the ins and outs of Deep Learning, since it is a quite complicated process to get a large ANN to do its magic.
(more…)

Read more
Zacharias Voulgaris joins Data Science Partnership as Head Of Content
Date: March 15, 2017
|
Posted by:

Getting On-board @ Data Science Partnership

I’d like to take this opportunity to announce that from now on I’ll be part of the Data Science Partnership team, as the Head of Content. Although the company focuses more on hands-on projects and on-site training for enterprises, we feel that it would be a good idea to share certain materials with everyone who takes time to visit our site. After all, technology-related information is everyone’s domain and unlike academics who like to hide all their knowledge behind research papers inaccessible to the everyday person, we at Data Science Partnership prefer to share what is non-sensitive information on this tech with the world freely and make it comprehensive to the majority. This not only allows for fewer misunderstandings about the ever-changing fields of Data Science / Machine Learning / Artificial Intelligence, but also can help inspire others to get involved in these technologies, and benefit the world through them.
(more…)

Read more