Digital Workforce strengthens industry knowledge with key appointments 

[Helsinki 23.10.2018] Digital Workforce, the robotics and intelligent automation growth company, has announced key appointments of Harri Lauslahti (banking and insurance), Hannu Luoto (logistics and manufacturing) and Teemu Vieruaho (compliance and finance), who bring in-depth industry experience and expertise to the team.

Harri Lauslahti was previously the Chief Innovation Officer of LähiTapiola and before that CEO of LäpiTapiola Services Ltd. Earlier in his career he was the CEO and founder of Tapiola Bank Plc, the regional director of Handelsbanken Finland and held a series of leadership roles within banking and insurance. Harri will be responsible for creating automation solutions for banking and insurance in close co-operation with industry customers.

Hannu Luoto joined Digital Workforce from Vaisala and in his new role he will be the leading consultant in manufacturing industry. Hannu has extensive leadership experience in manufacturing production and maintenance as well as supply-chain management and lean and six sigma methodologies.

Teemu Vieruaho is an experienced specialist in business process development and compliance, financial processes and analytics. Before joining Digital Workforce Teemu accounted for RPA function at PwC and invented and implemented PwC Finland’s first artificial intelligence application payment.ai. In his new role Teemu will lead business consulting development and productise solutions for finance, compliance and auditing.

Digital Workforce has automated over 800 rule-based workflows in large organisations. By combining artificial intelligence with Robotic Process Automation, company’s Digital Workers can utilise unstructured source data, such as images and text, and execute more extensive processes e.g. in customer service.

“Cognitive automation tools complement RPA and enable larger volumes and more intelligent automation, which brings new business benefits. Deep industry expertise is crucial in this context. By identifying industry-specific pain points and needs, we can proactively offer intelligent solutions to our clients”, explained Heikki Länsisyrjä, one of the founders of Digital Workforce.

“We have appointed Tiina Leivo (MD, PhD and M.Sc. (Econ.)) earlier to lead our social and healthcare unit. With these three high-level key appointments we strengthen our expertise in our other key industries. Each of these three are among the top in their respective fields and successful business builders. We are extremely proud to have them join our team”, continued Länsisyrjä.

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 175 IPA specialists in Finland, Sweden, Norway, Denmark and Poland. www.digitalworkforce.eu

Media contacts:
Heikki Länsisyrjä, Partner, Digital Workforce, heikki.lansisyrja (at) digitalworkforce.fi +358 50 5587801

Business drivers to implement Intelligent Process Automation

Under unprecedented pace of technological development and increasing pressure of competitors from across the globe, businesses’ digitalization of some degree is inevitable. Companies are altering their offerings, processes as well as operations to keep up with the changing environment and grow their business further. As with every investment, the decision to devote company’s resources into process automation and digitalization must add value to the business. What are the most relevant aspects and general drivers of such business decisions, related to intelligent process automation?

OPERATIONAL EXCELLENCE

Companies strive to maximize revenues and minimize costs, and every investment into new equipment should facilitate either decrease in costs or increase in revenues, leading to increased efficiency of a firm’s resources. Thus, looking at the drivers from the perspective of business’s operations, decrease in cost is doubtlessly one of the key motivators when implementing intelligent process automation.

Process automation allows people and companies to focus on their most valuable work such as creative thinking and product crafting, customer service and leadership. When robots perform an organization’s supportive activities reliably and seamlessly, its human workers are enabled to do the work that is most valuable to the organization. It’s easy to consider how this change might improve both a customer’s service experience and a worker’s mood when they no longer have to be distracted by things such as registering data in various systems, searching it up and interpreting it whilst trying to serve their customer. Simply put, companies can benefit from a more sellable higher quality service/product without an increase in costs.

On the other hand, employing a secure and uniform robotic workforce can significantly cut operational costs as the robots are not subject to human error. Smart solutions can also dramatically increase operational efficiency through better optimization of resources, like decreasing a machinery’s downtime or cutting overlapping activities. Besides the obvious savings due to optimized use of resources, manufacturing firms may expect a significant drop in maintenance costs thanks to the potential of predictive maintenance, accompanied by savings in inventory costs and logistics, while service companies may benefit from more accurate reports and interpretation of data through better risk management, design of KPIs, internal training and services that accurately address customer needs.

Intelligent process automation enables companies to optimize their processes in real-time. This increase in productivity will not only bring higher levels of output, but also potentially much broader product/service spectrum of a better quality, targeting new segments of customers with tailor-made propositions.

BUSINESS AGILITY & NEW MODELS

Process automation in a reliable way enables the companies to direct their attention to high-margin parts of their offerings, or to completely new areas of business. Driving enterprises to explore untouched market opportunities, new digital technologies are bringing complex changes to the current business models. Core resources together with the central value proposition alter, enabling the firms to extend their portfolios. Additionally, hand in hand with business agility goes the idea of customer centricity. In case of a successful extension of the product portfolio (or of the offer as such thanks to additional customer-centric services), companies will grow their business, welcoming new revenue streams to their business models.

MASTERING THE DATA

The issue companies have today is not how to collect data – but rather how to make sense out of all the data available. Everybody is talking about terms such as Big Data and Internet of Things – yet only a few actually knows how to crack it. Thanks to a significant drop in costs of computation and the development of smaller and smarter sensors, the ever-expanding connectivity allows for unprecedented insights, assuming the data are correctly analyzed and understood. This combination of arising new hardware and increasingly sophisticated software holds an immense promise for businesses, eventually enabling physical objects to communicate autonomously among each other. The potential added value hidden in all the data a company produces but not yet fully understands is truly tempting.

With increased process reliability thanks to the data processing, companies can benefit from enhanced accuracy of operations once a system of smart process automation is in place. Eliminating the potential risk of a human factor, especially when talking about routine, standardized and non-creative processes, having an intelligent automated system in operations would enable the companies to redirect their most valuable resources – the human resources – towards more business-value-adding activities.

IT INFRASTRUCTURE & ARCHITECTURE

As much as a driver, the IT infrastructure can also be the most challenging factor when shifting towards more automated and digitalized processes. Digitalizing company’s operations will require more than a simple upgrade of current IT systems – rather, the companies must be ready to review their automation and digitalization processes in a deeply complex way.

Given that some form of computation technology is incorporated to virtually every organization active on the modern markets, companies might be motivated to unify their various systems, uncovering unexpected advantages and synergies. Creating a completely new IT infrastructure is demanding in terms of time, human as well as financial resources and oftentimes the readily-available solutions on the market are not sufficient. Overcoming this challenge through a highly customized solution would ensure the company retrieves the most relevant insights, enabling for flexible reactions.

 

Besides these key categories, there is one more crucial driver for companies to implement intelligent process automation and related technologies – the company’s culture. Through their leaders, companies must evolve a certain level of digital literacy and a corresponding company culture. To fully benefit from the intelligent process automation, firms should develop a strategy and a company-wide vision of a strong digital business culture, both customer as well as employee-focused.

Our journey and motivations to increase the intelligence of virtual workers – A reflection by Digital Workforce Head of AI, Gaurav Khullar

Recently, I’ve been devouring myself into critically thinking about innovation. Can there be a scientific framework for creating innovation and using it for the prosperity of businesses and humanity? Or does innovation happen due to random sparks of brilliance and ingenuity of the human brain. Whatever the reason, one thing is clear: Only innovation that results from solving someone’s need or want and is packaged at the right price will prosper.

There has been a lot of hullabaloo around Artificial Intelligence in the recent past and the fire has been further fuelled by media reports about spectacular AI achievements e.g. Deepmind’s AlphaGo, Microsoft’s machine translation reaching levels of human performance and many others. Sceptics or rationalists (as they may like to call themselves) would rather question the impact that such AI will have on humanity. Believers, on the other hand, would like to believe that AI will one day become a superpower.

For an organization like Digital Workforce, the goal is to create AI that will always empower humans rather than overpower them. Humans will be empowered if AI can help them in: a) making decisions that are unbiased and objective and require a lot of computation and data mining that is unwieldy for a human b) getting more satisfaction from their jobs by automating their routine tasks so that they can focus on more creative tasks.

Automation of routine tasks has been possible for many years by using automation scripts. However, more elaborate and industrialized commercial software have started to appear since the last couple of years. These software applications have gained the name of Robotic Process Automation (RPA). The RPA applications have not been as glorified as ML, but they have been providing a lot of value and the RPA industry is expected to be in multi-billion USD range by 2021.

What is especially interesting for me as an AI practitioner is the convergence of ML/AI and RPA. RPA robots have the limitations that the business rules have to be manually pre-programmed and they can only process structured digital data. They can therefore only automate a fraction of business processes where the format of digital data is structured and pre-defined. Also, these robots are not good learners – they don’t have the “digital brain” to learn patterns and rules from data. That said, their strength is that they can work with any existing IT application which means that cost of automation using RPA is minimal. RPA software also has the capability to integrate with AI components using REST API calls – this capability is a huge enabler to use AI as the brain and RPA agents as the hands to execute business processes.

The limitations of RPA no longer hold it back as integrated AI models can understand and process unstructured and unformatted data for it (including in non-digital format e.g. text in paper documents). Such a capability is termed as Intelligent Process Automation (IPA). The IPA market is an order of magnitude larger than the RPA market.

We at Digital Workforce are on a journey to create an IPA platform – a digital brain force for our RPA agents so that they can automate tasks requiring higher order of “brain” function. Hopefully, this will unlock a tremendous amount of business value which can be reinvested to develop more meaningful and innovative experiences. Our hope is that our innovation will fuel and empower corporations to further their own innovativeness.

Would you like to join us on the journey? We are growing our AI team! Find out more here.

 

Gaurav is responsible for defining, developing and delivering Digital Workforce’s AI strategy. He joined Digital Workforce from a Senior Manager & AI Lead for Data Science role at Accenture. He has strong experience in AI, 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.

Contact: Gaurav Khullar Head of AI, Digital Workforce, +358 50 482 1216 gaurav.khullar@digitalworkforce.fi

Want to learn more about the latest developments in AI and how intelligent solutions can benefit your business? Gaurav hosts a monthly expert interview webinar series. Access all interviews free on ai.digitalworkforce.eu 

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!

Digital Workforce and Digital Workforce Academy receive Blue Prism Innovation Awards

Blue Prism has selected Digital Workforce as it’s most innovative partner and the receiver of this year’s Partner Innovation Award. DWF Academy also received special recognision and the Most Innovative Use of Blue Prism Award. The awards were delivered at the Blue Prism World event in London.

Digital Workforce was selected as the winning partner due to its innovative use of Blue Prism technology in its services. The services recognized as grounds for the Partner Innovation Award include Digital Workforce’s cloud service, mobile service management, 24/7 process maintenance and quality assurance service, online training and repository component library for cloud customers.

DWF Academy was recognised with the Most Innovative Use of Blue Prism Award only 14 months after deploying its online training academy. DWF Academy is the only provider of a full spectrum of RPA-related topics for Blue Prism including how to develop complex, scalable and robust process automations globally. Helping students to gain real-world experience in automated processes with Blue Prism gives the courses a unique twist, and its students an invaluable experience.

For more information about the awards visit Blue Prism.

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.

Digital Workforce presents: The Business of AI- webinar series

We are facing the most exciting revolution of our time: Intelligent technologies are fast advancing and disrupting the status quo in all areas of life. The way we work and do business is fundamentally changing. We must learn to swim in the new waters. What should you know right now, and what does the future entail? Digital Workforce’s new initiative, The Business of AI- webinar series connects business managers with the experts and visionaries of AI. Tune in to tap into the knowledge you need now! 

Digital Workforce recently launched a new initiative to cater to the needs of today’s business managers seeking AI-knowledge. The Business of AI- series hosts a monthly webinar discussion, each time with a different AI-expert providing new perspective to the topic. All the webinars are collected to one knowledge -base found on ai.digitalworkforce.eu.

The opening session of the series will be held with the best-selling AI-author Antti Merilehto April 11th, 10.00 EEST.

Key takeaways from the webinar will include:
How is AI changing the way we do business and how fast is the change?
What are the opportunities of AI?
What are the new requirements for business management and strategy?
How quickly and how should business management react?

Registration is now open – sign up free here!