Fyra IT-experter tar Webstep till Uppsala

Pressmeddelanden   •   Jan 14, 2019 10:13 CET

- Ända sedan Webstep startade sin verksamhet, har vi haft kollegor bosatta i Uppsala, även med uppdrag här. Nu känner vi att det är dags att gå ”all in”. Därför öppnar vi det tredje svenska Webstepkontoret i Uppsala, skräddarsytt för IT-experter, säger regionsansvarig för Uppsalakontoret, Eje Thorarinsson.

Webstep utökar tjänsteportföljen

Pressmeddelanden   •   Apr 27, 2018 14:29 CEST

Webstep utökar tjänsteportföljen till att inkludera konsulttjänster inom IT-management, för att möta kundmarknadens höga efterfrågan. Ledare för den nya gruppen hittas internt, i form av Webstep-veteranen Mats Ljungberg.

Challenges of AI-projects

Blogginlägg   •   Sep 04, 2019 08:12 CEST

The purpose of this article is two-fold, first to help organisations better understand the challenges of starting AI-projects and second how to systematically approach them. The intended target audience are C-level executives and managers who are considering to invest in AI-solutions for their business.


During the last year we at Webstep have worked on developing a system and a process to facilitate the start-up of machine learning projects. We loosely follow the CRISP-DM (Cross Industry Standard Process for Data Mining) methodology: starting with business understanding, assessing the AI-readiness within the organisation, identifying promising areas for AI and finally finishing with deployment or evaluation depending on the project goal.

Process application

In this article we describe an example of how we applied the methods and system in a project for an organization that works with forecasts. They requested an AI solution capable of automatically creating forecasts to replace their existing manual way of working.

We started out trying to answer three questions related to business understanding, data understanding and modelling:

1) How to select the most promising use case?

2) Are there any patterns in the information / statistics that can be used?

3) Which machine learning models are suitable for this use case?

Selecting the use case

To be able to choose which use case to start with, we had to consider several factors:

  • ROI, ie classical financial calculation, if our client selects this use case what will be the cost and when will they get return on their investment?
  • Is there any data available?
  • Does the company have staff available with domain knowledge and access to the information / data?

Finding the optimal solution

Once we had access to their data our proprietary system was set to work on it. The system is built to evaluate whether the customer’s data contains enough patterns to be able to solve the task. In this case predicting the number of started housing projects in Sweden 12 months ahead. It is based on open source software and is developed in Python. Depending on the amount of data, it can take anywhere from a few hours to days before the system has found an optimal combination of features and models, see figure below.

The result for the customer was a report on the best combinations of parameters, statistical methods and machine learning models with the highest accuracy and lowest error metric.

Comparing and evaluating the suggested solutions

The final step was to evaluate whether the accuracy of the system report was sufficient to achieve the desired financial gain. In this customer’s case, we compared with their existing solution for forecasts and our solution created the same forecast which had taken them days to build manually in a matter of hours.

The conclusion is that using our automated approach was considered a success and quickly paid itself.

Written by: Magnus Magnusson

Who we are: Webstep — specialists in AI/Machine Learning and Software Engineering

Webstep has approximately 400 employees covering Norway and Sweden. We have spent the last years establishing our Center of Excellence in Data science jointly based over several offices in both Norway and Sweden. Our track record of delivering senior consultants to the most demanding customers in Sweden and Norway, combined with the competency and capacity available in the data science Center of Excellence puts us in a unique position as a partner for clients exploring the business value that data science/machine learning can provide.

If you are considering whether or not to invest in AI-solutions contact us for a first AI readiness evaluation.

The purpose of this article is two-fold, first to help organisations better understand the challenges of starting AI-projects and second how to systematically approach them. The intended target audience are C-level executives and managers who are considering to invest in AI-solutions for their business.

Läs vidare »

Cockroach DB - the surviving database

Blogginlägg   •   Jun 25, 2019 13:50 CEST

Websteps last “competence evening” before the summer vacations gathered 14 consultants, that despite the beautiful weather had decided to stay inside for some quality time together learning about Cockroach DB. Kai Niemi had agreed to share his knowledge on the topic.

​Apache Kafka hands-on demo

Blogginlägg   •   Jun 12, 2019 16:11 CEST

This article is a continuation of a previous article in this series called “Apache Kafka in a nutshell” written by Vajo Lukic. After we have covered basic theory of Kafka, now is the time to get our hands on Kafka and try it out. By following simple instructions below, you will be able to learn in no time how to create and change Kafka topics, as well how to write to them and read from them.

Tech-Lead Training

Blogginlägg   •   Jun 03, 2019 14:24 CEST

Every spring and every fall Webstep organize a “Competence Weekend” (kompetenshelg) for employed consultants. Organizing such a weekend is a quite simple but long process.

Webstep Q1 2019: All-time high revenues

Pressmeddelanden   •   Maj 22, 2019 13:09 CEST

​Webstep Q1 2019: All-time high revenues Webstep reports 5.5 per cent revenue growth in the first quarter of 2019, with 9.4 per cent growth in the Norwegian market alone. The order book remains strong and recruitment remains a number-one priority to meet the continued high demand for IT expertise.

Digital Tillgänglighet - behöver inte vara så dramatiskt

Blogginlägg   •   Maj 16, 2019 08:36 CEST

Att uppfylla krav på tillgänglighet i de webbapplikationer och appar är något som jag tror många av oss kan uppleva som besvärligt och överväldigande emellanåt.

Ny koncernchef på plats: Arne Norheim klar för Webstep

Nyheter   •   Maj 02, 2019 08:30 CEST

Den 2 maj tillträder Arne Norheim som ny koncernchef i Webstep. – Jag ser fram emot att komma igång. Webstep är ett spännande företag med duktiga och engagerade medarbetare. Jag ser verkligen fram emot att träffa alla och lära känna Webstep inifrån. Tillsammans ska vi åstadkomma mycket positivt, säger han.

Fatta först, lös se'n!

Blogginlägg   •   Apr 09, 2019 09:55 CEST

“If I had an hour to solve a problem I'd spend 55 minutes thinking about the problem and 5 minutes thinking about solutions.” - Albert Einstein.

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Om Webstep

Vår vision är att förverkliga våra medarbetares och kunders fulla potential

Webstep levererar lösningar inom strategisk och operativ IT-utveckling genom kunniga och kompetenta konsulter.

Genom att samla de bästa individerna och skapa förutsättningarna för att utvecklas kring vårt erbjudande finner vi de bästa lösningarna för våra kunder. Det betyder att oavsett hur din utmaning ser ut så har vi kompetensen och kreativiteten att lösa det på bästa sätt för just din verksamhet.


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