Interview with Martin Vogel, Senior Principal Solution Consultant in OpenText
How long have you been working in OpenText?
Since 2010 when StreamServe company became part of OpenText through acquisition.
What are you in charge of in your position?
I am in charge of the sale promotion for all the OpenText products in the quickly developing Central and Eastern European market (also in the Czech Republic and Slovakia), but also in Israel, Turkey and Africa.
What do you cooperate on with IXTENT?
Our cooperation concentrates most on the ECM area (Enterprise Content Management). We are in frequent contact with our colleagues from IXTENT and discuss our clients and their solutions. On the other hand, I have to say that IXTENT is an experienced and independent partner and it does not need much support from my side.
We also cooperate on lectures. I participate in various conferences or seminars where I present the latest digitalisation trends to the participants. Within the scope of our partnership with INTEXT, on 10th and 16th October I will have a lecture on the Magellan product during Social meeting at the Canadian Embassy. This connection is ideal as OpenText is a Canadian company.
Can you tell our readers more about the revolutionary product OpenText Magellan?
Even before, users had various database data at their disposal and they wanted to visualise and analyse them. However, in the course of time the resources got significantly wider. Magellan is able to process them all and show both the structured data (database ones) and non-structured data (pictures, videos, websites and e-mails), it can read many formats and manages to use many storage destinations – it is called a “data lake”.
Magellan takes all the structured and non-structured data and analyses them using the machine learning technique. It can also read from outside and it is possible to connect it to Twitter, Facebook, news etc. For example, Magellan analysed the media before the elections in America. Hillary Clinton was winning in the media, but the elections were won by Donald Trump.
By means of Magellan, it is also possible to predict epidemics or lifestyle disease development. On the Internet, there are some Magellan modules available to try free of charge – for example comparison of various types of mobile phones. Magellan can read data faster than humans, it is equipped with a multi-language tool (for example English, Spanish, French and partially even Czech).
The algorithms that Magellan works with have been known for a long time, but the efficiency offered by the system is astonishing. Magellan is able to read one page in quarter of a second, it works non-stop and unlike humans it makes no mistakes. It is also able to visualise. It can also make a decision on our behalf, if we want. It also uses IoT (Internet of Things).
What is the current stage of its development?
Magellan is already on the market. It was presented last year at OpenText Enterprise World.
How can it help to companies?
The companies focused on the end customer can use Magellan to monitor so-called sentiment (the reaction of the audience to marketing campaigns) and according to the analysis results they can make their campaigns more effective or optimise the connected internal processes.
Magellan is able to predict numerous events in many areas – for example necessary service interventions in technical devices, probability of returned goods and market development predictions. It can also be used to partially prevent accidents, for example it can predict failures in a tomography room from sensors and available data. It can also predict the attitude of G7 countries to political matters. It can also be used in institutions working with a great number of regulations as the system is also able to detect overlaps.
Another advantage of the system is also the fact that even though the company has to buy the platform, the resulting algorithms are already owned solely by the buyer. Magellan also offers possibility of various pre-configurations (e.g. for Twitter). It can work well both in the cloud and locally.
Will you also be able to help users to set the analytics? Or do the companies have to prepare that themselves or use other specialised companies?
The OpenText Professional Services division is able to help with the setting but to achieve the maximum potential of the platform, I would recommend using expert knowledge of a specialised professional. It is necessary to apply the tool efficiently to concrete company needs, as regards analyses, and to teach it how to work in the given environment.
Has Magellan already been put in active use?
The platform is fully accessible. Magellan is used in practice for example for detection of lifestyle diseases of an individual based on an analysis of the environment where the person lives and on the basis of the family medical history.
Are there any other products in OpenText using artificial intelligence?
Magellan is the first, it is partially integrated in other customer solutions as well, sometimes even without the customer being aware of it, similar to IoT, due to general progress, artificial intelligence is more and more integrated in digitalisation of company processes.
What do you consider the most successful and best-selling product of OpenText?
There are a lot of successful products. For me the top is the Content Server that is the best-selling product by IXTENT. In connection with Magellan, the Content Server brings an ideal solution for company processes.
Does the saying about “shoemaker’s children” apply to OpenText? Do they “go barefoot” or does OpenText use all its products actively?
We use our key products actively but not the whole portfolio.
What is your personal professional wish for future?
I would wish us (OpenText and IXTENT) to gain the first Czech customer of Magellan.
Thank you for interview.
Data lake = A way of data storage in the system or storage site in their natural format facilitating data interconnection in various schemes and structure norms. The idea behind a data lake is to have a unified stock of all the data in the company, from raw ones to transformed ones, which are used for various tasks, including reports, visualisations, analyses etc. A data lake includes structured data from relation databases (rows and columns), semi-structured data (CSV, logy, XML, JSON), non-structured data (e-mails, documents and PDF files) and even binary data (pictures, audio and video), which results in a centralised data storage site open for all the data forms.
Internet of Things (abbreviation: IoT) in information science it means a network of physical devices, vehicles, household appliances and other devices equipped with electronics, software, sensors, moving parts and network connectivity enabling these devices to interconnect and exchange data.