Keynote abstract: Integrating AI into your team, product and project
Adam Leon Smith, CTO of Dragonfly, will talk about key AI industry trends and how to integrate AI technologies into technology project delivery. AI isn't just for specialists anymore, and poses challenges throughout the project lifecycle in requirements management, risk management, testing and ongoing support. Adam will explain the history, dive into the key novel issues, outline some of the solutions, and ensure everyone understands they have a part to play in the AI revolution.
Adam Leon Smith has two decades of experience in technology and has held senior roles at Barclays and Deutsche Bank delivering large complex transformation projects. He is now CTO of Dragonfly, an international consultancy focused on software testing and quality assurance, with a particular focus on AI. Adam is the current chair of the British Computer Society’s Special Interest Group in Software Testing and he is also an ISO/IEC convenor and editor, and is involved in the development of numerous international standards relating to AI and quality. He is a member of the European Commission’s AI Alliance, and the IEEE’s group developing international standards on technology ethics.
Associate professor Jussi Kasurinen (D.Sc. in tech) is a long-term software engineering researcher and the head of software engineering degree programs with LUT University, Finland. In his research career, assoc. prof. Kasurinen has worked or consulted with over fifty software-developing organizations in the Finnish and Nordic software and games industry, from high-criticality industry domains to entertainment software and game developers, mostly in areas of software quality, development processes, real-life organizational problems, software measurement and development of testing practices. Assoc. prof. Kasurinen has also over sixty research publications along with books on topics such as Python programming, software testing and quality assurance, and esoteric programming languages. Assoc. prof. Kasurinen is also a long-standing member of the Finnish Software Measurement Association (FiSMA) and hold an adjunct professorship on the area of Entertainment Software Engineering.
ISO25010 Quality model SQUARE in many cases is currently one of the cornerstones of the software engineering-related standardization. As with many other international standards, it has its limitations, but also excels in certain ways: for example the model is capable of addressing many of the several different ways the different industries and target audiences understand the word ‘quality’ and what they actually want to measure. In this talk, the fundamental model of the ISO25010 standard is examined, along with the known applicability possibilities in the software industry, and disseminated against the common requirements of understanding the quality of Artificial Intelligence. Do we have a model, which can explain or measure the concept of what makes AI good, usable, reliable or suitable for application?
Abstract: AI and testing trends by Kari Kakkonen and Juhani Teeriniemi, Knowit Solutions Oy
This presentation will give the audience a look at what is happening on the AI-field in relation to software testing. Kari and Juhani will discuss software testing done without AI and with AI. We will discuss software testing trends, some AI tools in the market, and applications of AI in the software testing.
Abstract: AI and testing trends by Kari Kakkonen and Juhani Teeriniemi, Knowit Solutions Oy
This presentation will give the audience a look at what is happening on the AI-field in relation to software testing. Kari and Juhani will discuss software testing done without AI and with AI. We will discuss software testing trends, some AI tools in the market, and applications of AI in the software testing.
Abstract 2: Extending robotic process automation by machine learning – functional testing of AI-RPA by Juhani Teeriniemi, Knowit Solutions Oy
Robotic process automation (RPA) is quickly transforming into AI-based hyperautomation: everything that can be automated, will be automated. In order to diminish risks, this automation must have strong people-centric emphasis, giving the end-user a transparent way to interact with the AI system. Furthermore, inclusion of AI brings some new twist to traditional software testing activities.
This presentation describes aspects of functional testing of software robots that utilize machine learning. Same principles are applicable to testing of AI applications in general.
The case study considers a software robot developed by Knowit Oy for Finanssivalvonta (Financial Supervisory Authority of Finland).
Abstract: Underwater sensor target classification using AI by Jonas Ekström Berg & Rickard Westberg, Knowit Defence Technology
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Abstract: Underwater sensor target classification using AI by Jonas Ekström Berg & Rickard Westberg, Knowit Defence Technology
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Abstract: AI-empowered leadership of the 2020’s by Janne Korpi , iLoom
His speech will focus on the following topics:
There is an all too often overlooked part of every process and piece of business wisdom - the people who make things happen (employees) and people who are impacted by those processes (customers and markets). Real understanding of shared perception, ideas and feelings around processes, issues and marketing are still mostly elusive, and have a tremendous impact on how successful any transformation or process is.
We are solving this issue by collecting information on what people thing in the form of freely worded text - survey answers, slack/teams messages, customer extranet discussions, interview transcripts, even social media - and then using an NLP algorithm to crystallise what is being said, why, and how the various topics link with one another. Further, we teach an algorithm to connect open text feedback to various numeric measurements around company culture, brand identity and customer loyalty. This way, we can turn real human understanding into scalable, measurable and directly actionable management insight.
Abstract: Can AI learn to understand technology? by Sakari Arvela, IPRally
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Abstract: Advanced AI/ML considerations by Anders Richter and Mads Wiemann, Knowit Decision Danmark
This session is looking into typical questions for a data scientist, and how these can be answered, based on concrete cases.
These question can be:
Abstract: Advanced AI/ML considerations by Anders Richter and Mads Wiemann, Knowit Decision Danmark
This session is looking into typical questions for a data scientist, and how these can be answered, based on concrete cases.
These question can be:
Abstract: Using Azure Devops to drive quality and repeatability into ML process by Petri Savolainen, Microsoft
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Abstract: An introduction to automated machine learning by Chris Thompson, Neuroactive AI
In his talk, Chris will give an introduction to automated machine learning (AutoML), as well as an overview of the Neuroactive AI system.
Topics covered will include:
Abstract: How will AI and automation effect the future of employment by Ole Kristian Haug, Senior Manager & Head of Intelligent Automation at Knowit Insight AS
Why is it different this time around? What skills will be important in the future? How should you prepare your organization?
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