The Finnish Tax Administration selects Digital Workforce as its software robotics supplier

Digital Workforce has signed a service agreement with the Finnish Tax Administration to provide the organization with an extensive RPA-platform (Robotic Process Automation). The acquisition covers the licensing and delivery of software robots, solution training, support, maintenance and expert services. The RPA-platform is utilized across the entire Tax Administration.

The use of software robotics to automate the Tax Administration’s work processes has been investigated and tested since 2015. Through these investigations, the Tax Administration has identified RPA business benefits that include: reduction of costs and errors, more harmonized operations, inter-system integrations and increased process speed. All the identified benefits support the Tax administration’s strategic goals and translate into improvements in customer service.

As an Intelligent Process Automation (IPA) service provider, Digital Workforce has the flexibility to complement the capabilities of its software robots by extending its services – according to its customers’ needs – to cover other intelligent technologies.

Mads Laastad of Digital Workforce Norway presents his scientific paper on Robotic Rehabilitation at the IEEE International Conference on Intelligent Robots and Systems

We are delighted to share with you that our Solutions Consultant, Mads Laastad from Digital Workforce Norway has been invited to present his paper on robotics and automation at the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018) in Madrid, Spain. The event takes place October 1-5, 2018 and we will be sharing highlights from the event and the latest research on AI, robotics and automation on social media and the Digital Workforce blog.

Looking forward to an exciting week in Madrid, we are proud to share with you the selected paper “Feasibility of the UR5 Industrial Robot for Robotic Rehabilitation of the Upper Limbs After Stroke” by Mads Laastad and associate professor Øyvind Stavdahl from the Norwegian University of Science and Technology (NTNU), and associate professor Erik Kyrkjebø from the Western Norway University of Applied Sciences.

Get the paper in PDF here.

Workforce Management: Manage your virtual workforce real-time where ever you are!

Digital Workforce has developed its own mobile and desktop application to improve the management and result reporting of RPA based digital workforce. The Workforce Management application is already in test use and is soon made available for all Digital Workforce cloud service customers as part of the Robot-as-a-Service package.

The idea for Workforce Management originated from a customer survey that mapped customers’ wishes and needs in managing their digital workforce. The survey highlighted that organizations wanted an easily accessible and real-time channel for tracking their digital workers. The wish was motivated by the desire to attain general peace of mind, control and the ability to further develop operations.

Traditional applications offered only limited tools for monitoring and management and didn’t correspond well with the customers’ needs who wanted to know exactly what their robots had done and whether everything went as planned. The first application version of Workforce Management was quickly created and further developed in co-operation with Digital Workforce customers.

Digital Workforce developed the application for the BP platform to perform searches and present the information in a user-friendly format. Using Workforce Management, the customer organization’s admins are able to check the status, reports and performance of their robotic workforce at any time on a computer or mobile device. The application is also security-audited in May 2018.

The easy-to-use visual application integrates the management of digital workforce to the everyday life of the business and brings them better in touch with their virtual resources. In addition, the application helps the business management to further develop their use of digital workers and to identify new opportunities for their use.

Automation super week: Sign up for our September events across the Nordics!

The fall kicks off in the Nordics with a busy week of events. Digital Workforce organizes a total of 4 breakfast seminars in Norway, Denmark and Sweden. If you want to stay updated on the latest news and developments in process automation, software robotics and new intelligent technologies these seminars are for you! Check out our upcoming events below and register for your local event today.

Events in Denmark:

12.9. Copenhagen

Organized in collaboration with UiPath, the event’s list of speakers includes UiPath’s Technical Customer Success Director Rasvan Constantinescu along side Digital Workforce’s own representatives Jari Annala and Tony Minana. Customer presentation is held by Topdanmark Forsikring’s Senior Project Manager of RPA and Machine Learning Stig Geer Pedersen.

The presentations answer questions such as:

– How can you get the best results from RPA?
– How RPA can be used in different industries and business functions?
– How should you prepare for new intelligent technologies?

You will also have the opportunity to ask your own questions and network during the breakfast.

The event takes place at Scandic Copenhagen on Wednesday September 12th, 8.30-11.00 (CEST). Register free!

13.9. Aarhus

Denmark’s second breakfast seminar is also organized together with UiPath and both parties deliver their expers from Copenhagen to Aarhus. Jari Annala and Tony Minanan of Digital Workforce discuss the latest developments in the field of RPA and AI with UiPath’s Technical Customer Success Director Rasvan Constantinescu. The event will be held in an intimate setting to encourage more personal encounters and open discussion.

The presentations answer questions such as:

– What should you know about RPA best practices and success measures?
– How can organizations tap into the benefits of RPA in all fields and fuctions?
– What should you do now to be ready for the future involving intelligent technologies?

The event offers a great opportunity to address your burning questions and get personal advice from the industry’s leading experts .

The event takes place at Scandic Aarhus on Thursday September 13th, 8.30-11.00 (CEST). Register free!

Events in Norway:

13.9. Kristiansand

Digital Workforce holds an intimate breakfast seminar in Kristiansand, Norway to address questions often brought up by organizations starting their robotic journey. Presentations are held by Digital Workforce’s Norwegian team – the leading Intelligent Process Automation service providers in the country.

The speakers answer questions like:

– How can you identify the potential for RPA and other intelligent solutions in your organization?
– How can virtual workers accelerate digital transformation?
– What are the steps from introduction to long term success in implementing virtual workforce?

The event offers a great opportunity to address your burning questions and get personal advice from the industry’s leading experts .

The event takes place at Scandic Kristiansand on Thursday September 13th, 9.00-11.00 (CEST). Register free!

Events in Sweden:

13.9. Stockholm

Our largest event is held in Stockholm, Sweden. The opening speaker Kenneth Tellebo, Digital Workforce Sweden’s Country Manager is followed by a customer case presentation by PwC. Marcus Henriksson, PwC’s Head of AI and Automation tells about the company’s journey from a pre-study to implementing digital employees and how this transformed their business.

The presentations discuss topics such as:

– What’s the state of RPA in Sweden today are where is it headed?
– How RPA and other intelligent technologies can be used to boost business performance?
– What are the keys to long term success?

You will also have the opportunity to ask your own questions and network during the breakfast.

The event takes place at Scandic Continental Stockholm on Thursday September 13th, 8.30-10.00 (CEST). Register free!

Robotics company Digital Workforce strengthens focus on Artificial Intelligence and appoints Head of AI

The leading robotics company in the Nordics, Digital Workforce, is moving towards more intelligent digital workers to drive new business. To support the growing market demand for solutions combining robotics and artificial intelligence, the company has appointed Head of AI, Gaurav Khullar, MBA, B.Eng.

Based in Helsinki, Finland, Khullar will be responsible for defining, developing and delivering AI strategy of Digital Workforce. Khullar joins from Accenture, where he was Senior Manager & AI Lead for Data Science. He has strong experience in AI solutions, e.g. context aware computing, personalised customer experience, churn prediction, econometric forecasting and predictive maintenance, gained from his previous positions at Nokia, Microsoft, Tecnotree, Accenture and a few co-founded start-ups. He has worked with technologies like Machine Learning, Natural Language Processing, Recommendation Systems and Deep Learning.

“Our customers have become skilled at utilising Robotic Process Automation to boost productivity and improve quality. The use of RPA is growing fast, but simultaneously new technologies emerge allowing more intelligent and learning solutions. We are delighted to welcome Gaurav Khullar to Digital Workforce, he brings unique multi-faceted, hands-on experience of AI technologies and business to our team”, said Jukka Virkkunen, one of the founders of Digital Workforce.

“Robotic Process Automation, or Digital Workers as we call it, can work perfectly on rule-based knowledge work tasks. Combining that with machine learning and other AI technologies allows organisations to automate more complex tasks and free up people to more strategic work. I am so excited by this unique opportunity to define and create this future with Digital Workforce”, explained Khullar.

Digital Workforce has automated over 500 knowledge work processes since the founding of the company in 2015. It was one of first companies in the world to provide industrial-scale RPA, robot-as-a-service, from cloud. Digital Workers help large organisations to process, classify and collect data across industries and functions. With AI led experiences RPA will become more intelligent and autonomous able to solve problems, do planning and provide knowledge & insight.

“AI and ML algorithms can be applied once the business problem and enough relevant data is available to solve the problem – these are the ingredients for any AI solution. For example, think of a car accident, parts of the insurance claims process are already being automated by RPA. With the help of AI technologies, bots can be taught to analyse pictures from the accident scene, work that is currently done by people. There are endless opportunities, but it must start from a business need,” told Khullar.

Contacts

Jukka Virkkunen, Partner, Digital Workforce, +358 50 670 47, jukka.virkkunen@digitalworkforce.fi
Gaurav Khullar Head of AI, Digital Workforce, +358 50 482 1216 gaurav.khullar@digitalworkforce.fi

About Digital Workforce

Digital Workforce is the only company specialising in Intelligent Process Automation services on an industrial scale. Our intelligent digital workers automate knowledge work processes in large organizations freeing up the time of human employees for more valuable work. The deployment of digital workers requires no changes to the existing information systems. Digital Workforce was founded in the summer of

2015 and it currently employs over 150 IPA specialists in Finland, Sweden, Norway, Denmark and Poland. www.digitalworkforce.eu

Digital Workforce selected as the strategic partner to Finland’s largest healthcare district: HUS prepares to ramp up the use of software robots to boost efficiency and service quality

Digital Workforce has been selected as the strategic partner to Finland’s largest healthcare district following a competitive bidding. Digital Workforce will deliver software robots to Helsinki and Uusimaa healthcare district (HUS) as a cloud service, which can also be used to automate CE-marked clinical processes. The estimated total value of the acquisition is up to 1 300 000 euros.

Digital Workforce’s cloud-based digital workers enable the safe and agile automation of both administrative and clinical processes at HUS. Aside from software robotics, new technologies such as Machine Learning and Artificial Intelligence (AI) may be introduced to grow the digital workers’ capabilities in the future.

Digital Workforce is Finland’s leading processes automation service provider in both private and public healthcare. In addition to HUS, the company delivers digital workers to multiple other Finnish healthcare operators such as Espoo, Istekki, 2 M-IT, Eksote and PSHP.

More information

Tiina Leivo, Head of Healthcare
Digital Workforce
+358 50 1928
tiina.leivo@digitalworkforce.fi

Digital Workforce appoints a Country Manager to its Polish office

Digital Workforce originally opened an office in Lodz to support its Nordic clients’ service centers in Poland. The team quickly grew with the lead of an experienced Office Manager Kinga Chelińska Barańska. Today, the over forty experts strong team has become increasingly independent and we are proud to introduce Kinga in her new role as the Polish Country Manager.

The woman in charge: Kinga Chelińska Barańska

Leading Digital Workforce‘s Polish office is a woman on a mission: Kinga Chelińska Barańska has set out to help Polish clients boost productivity and reduce their costs. She has over ten years of professional experience in the finance sector and is very familiar with the challenges large corporations in particularly face with managing the productivity of their computer-based processes.

Kinga joined Digital Workforce in 2017 when the Polish office was first established. During this time, and in the service of her past employers, she has successfully conducted business projects related to the creation and implementation of new systems, process migration and robotic process automation. As a Country Manager, Kinga is responsible for the Polish branch of Digital Workforce.

New growth from Poland

Digital Workforce originally opened the Lodz office to serve its Nordic clients that had set up their service centers in Poland. Lodz in particular was chosen as the office location because the local universities were known to grow and attract a large population of technologically skilled young professionals. Since the establishment of the Polish office in 2017 Digital Workforce has recruited over 40 professionals in Lodz and was awarded Top Scandinavian Investor by FDI Poland in 2017.

Despite the original set up, it was recognized early on that Poland posed an interesting business opportunity of its own. Many large banks, insurance companies, and BPOs – that are quickly developing and implementing solutions for process automation – operate in and around Lodz.

“One of DWF’s key differentiators is our ability to enable our clients to set and execute their global digital strategies by offering them standardised services. DWF partners have been quick to recognize the strategic value of intelligent process automation and our team has been trained to provide scalable service solutions based on best practices. Our clients rely on us to escort them to the New World and address challenges when needed”, Kinga says: “I’m excited to start my new role knowing that we have what it takes to help our clients on their digital journey!”

Contact information
Kinga Chelińska Barańska, Country Manager, Digital Workforce,
mobile +48 514 519 375,
kinga.chelinska-baranska@digitalworkforce.pl

Digital Workforce Poland
ŁÓDŹ 90-057
UL. SIENKIEWICZA 85/87

Digital Workforce is the first robotics company certified with ISO 20000-1 Service Management Certification

Digital Workforce, a growth-stage company delivering Intelligent Process Automation, is the first robotic company awarded service management ISO 20000-1 certification by Inspecta Certification Ltd. The certificate covers Digital Workforce’s Robot as a Service cloud service and Run Management support and maintenance service in Finland.

The awarded IT-system, certified based on international ISO / IEC 20000-1 standards, testifies to Digital Workforce’s commitment to designing, deploying, delivering and improving services in a way that meets the requirements set for software robots and provides added value to both the customer and the service provider.

Digital Workforce’s IT service management certification covers Robot as a Service, delivered from private cloud, as well as Run Management support and maintenance service. Digital Workforce’s Robot as a Service and Run Management services provide customers with a fast, scalable and secure way to utilize software bots.

– We have provided services in accordance with the ITIL- framework since the establishment of the company in 2015. We focus on quality and safety in our services. Our customer base consists of large private and public organizations that value and require high-quality and certified services from their partners, says Jukka Virkkunen, one of Digital Workforce’s founders.

“We believe that cloud services will rapidly become more common and we see that the certification of our cloud service will bring us new opportunities,” continues Virkkunen.

The company’s Robot as a Service is already the first cloud-based RPA service in the EU that can deliver CE-marked automation solutions. The CE marking signifies that the service can be utilized also to automate clinical processes that are regulated by the European Medical Devices Directive (93/42/EEC and 629/2010) and the legislation on the medical devices and supplies.

Contact Jukka Virkkunen, Partner, Digital Workforce +358 50 670 47, jukka.virkkunen@digitalworkforce.fi

Digital Workforce

Digital Workforce is the only company specialising in Intelligent Process Automation services on an industrial scale. Our intelligent digital workers automate knowledge work processes in large organisations freeing up the time of human employees for more valuable work. The deployment of digital workers requires no changes to the existing information systems. Digital Workforce was founded in the summer of 2015 and it currently employs over 150 IPA specialists in Finland, Sweden, Norway, Denmark and Poland.
www.digitalworkforce.eu

A guide into the world of intelligent process automation

The field of robotics is full of excitement and buzz-words, but it is often difficult to determine the concrete under the hype. The term Intelligent Process Automation, more commonly known as IPA, has recently joined the conversation. What is it all about? And why is it worth paying attention to?

What does IPA stand for?

IPA refers to a process automation solution, where the technology being used is smart – at least to some degree. There isn’t just one kind of IPA, rather the solution is tailored to fit the process requirements. The technologies utilised in the solution might include for example software robotics, chat bots, image recognition or machine learning. Put short, IPA is an umbrella term for a variety of different technologies that can be utilised (together) to automate processes.

IPA as a continuum of virtual work

It is reasonable to consider a company’s shift to using digital workforce as a continuation, where the journey starts at simple, repetitive and easily defined tasks. These routines of knowledge work are automated cost-efficiently with RPA (Robotic Process Automation), where every action of the robot is predefined in a manner following “if this then that”-logic. RPA best suits a situation, where different steps are repeated predictably and volumes are high – this way savings in expenses and the quality of operation rise enormously! RPA that is based on predetermined rules however doesn’t fit a situation, where steps can’t be well defined because there exists a large variety of possible actions following a situation.

In the next step of the continuum, focus shifts towards smart technologies, that take up tasks that require interpretation. To understand this step, it is useful to consider an RPA exception situation, where a software robot operating based on predetermined rules sends back a group of exceptions for the human worker to deal with. In practice, a situation like this might occur for example when a specific piece of information is logged in the used IT system’s open field in different formats. When the software robot processes the information, it only recognises the predetermined formats and reads the differing formats as errors. In a situation like this, a virtual worker utilising machine learning might provide a solution, by learning to identify that the different formats have the same meaning. If the smart virtual worker is delivered as a cloud-service, the solution also enables a flexible level of service, where more capacity and tools may be put to use when necessary.

Artificial intelligence in turn refers to completely autonomic systems, that can interact with their surroundings at any situation and reach their goals independently. These kinds of technologies are represented by for example IBM’s Watson and Google’s Alice. As computers’ abilities grow it becomes easier to recognise what technologies can’t be considered in terms of artificial intelligence, though defining true artificial intelligence remains difficult. For example, photo recognition – today considered to be routine technology – was previously considered a form of artificial intelligence.

Why is understanding the big picture so important?

The conversation around robotisation and future of work is often regrettably vague and leaves it unclear, what are the practical applications of the new technologies. Pumped up by the hype, it is easy to start doing things that sound great but do not meet needs in practice – at least not cost-efficiently or in a way that delivers on expectations. On the other hand, because the change in all fields only keeps accelerating, and because the competitive advantages reached by utilising virtual workers have been unprecedentedly large, this boat should not be missed!

The utilisation of virtual workforce should however always begin by considering the need, in a way that the choice of technology happens on the terms of the target. The best results are reached by climbing up from root to the top: transforming business processes into a digital form that can be utilised by robots and moving from rule-based automation towards smart solutions where the needs are clearly recognisable. The implementation of smart automation typically starts by recognising and prioritising the objectives. The concept of ‘IPA-continuum’ represents this way of thinking.

Intelligent Process Automation: A short glossary

Intelligent Process Automation, IPA

Intelligent Process Automation (IPA) refers to the practice of process automation with solutions that involve smart attributes. IPA solutions are tailored to the specific requirements of the target process by combining technologies like, chat bots, computer vision, machine learning and robotic process automation software.

Robotic Process Automation, RPA

Robotic Process Automation (RPA) refers to process automation with software robots. The robots are programmed to use the applications required for the execution of the target process in the same way as a human operator would. They always follow pre-programmed rules and are easy to integrate into existing business processes.

Software robot

Software robot is a software application that is used in robotic process automation to replace the actions of a human worker interacting with the user interface of a computer system. Software robots may have some vendor specific attributes, but implementing these technologies never requires changes to existing systems.

Enterprise RPA

Enterprise RPA refers to the use of RPA technology in a large and industrial manner to achieve automation requirements of a large enterprise. Enterprise RPA solutions are scalable, easily managed and maintained. These features are achieved by specialized services such as: managing component libraries that allow the re-use of automation objects, expert support, staff training, following and managing RPA performance, support in setting up internal robotic center of excellence.

Business Process Automation, BPA

Business Process Automation refers to a high-level strategy that aims to streamline all business processes. It involves recording – and re-designing- all processes within the business to digital format and then integrating them with an automation software.

Digital worker/ Virtual worker

Digital or virtual worker refers to a software robot that takes over a process or task otherwise performed by human workers. Digital workers deliver Robotic Process Automation (RPA) services where the used technology is a pre-programmable software.

Intelligent digital worker

An intelligent digital worker is a technology platform that combines pre-programmed software robots with different cognitive technologies. An intelligent digital worker is able to handle processes that consist of more complex tasks involving unstructured data and interpretation. Intelligent digital workers are used to deliver Intelligent Process Automation (IPA) services.

Robotic Center of Excellence, CoE

Robotic Center of Excellence (CoE) is the organization’s management center for the use of automation technologies. The job of the CoE-team is to create, measure and manage a virtual workforce that supports the organization’s strategic goals.

Robotic Desktop Automation, RDA

Robotic Desktop Automation (RDA) refers to computer-specific automation that is applied to speed-up or enhance the performance of a human worker using the desktop. While RPA technologies can be referred to as virtual workers, RDA technologies work hand-in-hand with their human counterpart and thus may be called virtual assistants.

Optical Character Recognition, OCR

Optical character recognition (OCR) refers to the conversion of images of typed or hand written text into machine encoded text. OCR programs analyze scanned-in images to detect light and dark areas in order to identify alphabetic letters and numeric digits. When a character is recognized, it is converted into code. OCR is often being used to digitize typed or handwritten information.

Natural Language Processing, NLP

Natural Language Processing (NLP) technologies enable computers to process large amounts of natural (human) language data. NLP technologies typically rely on machine learning to help them automatically learn new rules.

Computer Vision

Computer Vision technologies are used to enable computers to gain high-level understanding from digital images or videos. These technologies seek to automate tasks that would otherwise require the human visual system.

Chatbot

Chatbots are computer programs that can conduct a natural language conversation. They are designed to simulate a human conversation partner convincingly either via auditory or textual means. Depending on the level of sophistication of the solution, chatbots can make use of NLP technologies or analyze keywords.

Machine Learning, ML

Machine Learning (ML) gives computers the ability to “learn” (i.e. progressively improve performance on a specific task) by processing data. ML technologies can “learn” under supervision, i.e. learn general rules to map inputs to outputs based on a set of example inputs and their desired outputs. The “learning” may also be unsupervised, in which case no examples are given to the learning algorithm. Instead, it is left on its own to find structures from its inputs. Unsupervised learning can be a goal in itself (discovering hidden patterns in data) or a means towards an end (feature learning).

Cognitive Computing, CC

Cognitive Computing (CC) describes technology platforms that involve cognitive technologies such as machine learning, natural language processing, computer vision, and chatbots. The purpose of cognitive computing is to combine these technologies to find meaning from and understand a data set at a higher level. Rather than just pure data or sensor streams, cognitive computing can deal with symbolic and conceptual information. Cognitive computing enables computers to interpret information extracted from large data sets, while humans remain in charge of the decision process.

Artificial Intelligence, AI

AI is loosely used as an umbrella term for all cognitive technologies that enable computer systems to perform tasks normally requiring some form of human intelligence. A true AI machine would combine these different technologies in such a way that it would have augmented intelligence, surpassing humans in accuracy and insight. The individual technologies, on the other hand, that are performing tasks by simulating a specific area of human intelligence are called cognitive technologies.

Virtual Reality and Augmented Reality, VR/AR

Virtual Reality technologies are being used to create simulated environments. These technologies allow the user to experience the simulation around them – as they were part of it – not just looking in from the outside. Augmented Reality (AR) integrates digital information with live video or the user’s environment in real time to augment the video with artificially added elements or effects.

Business Process Management (Suite), BPM(S)

A business process management suite (BPMS) is a set of automated tools for designing, implementing and improving activities to accomplish a specific organizational goal. BPMS is designed to support the entire process improvement life cycle from process discovery, definition, monitoring and analysis, and through ongoing optimization. BPMS tools allow the organisations to redesign or re-engineer the whole process or set of processes and often also the related IT systems (unlike RPA which is solely using existing IT- system without changes).

Enterprise Cognitive Systems, ECS

Enterprise Cognitive Systems (ECS) are a form of cognitive computing. They are focused on action, not insight, and their intention is to assess what to do in a complex business situation. ECS makes evidence-based suggestions about how the business can achieve its goals. It does so by finding past situations similar to the current situation, and extracting the repeated actions that best influence the desired outcome.

 

Digital Workforce is the only company purely specialising in Intelligent Process Automation services on an industrial scale in the Nordic countries. We automate the routines of computer based knowledge work and liberate human employees’ time for more productive and important tasks. Learn more about us and our services on digitalworkforce.eu.