Keynotes

The Evolution of Decisioning in IT, and What Happens Next

PAUL VINCENT, Industry Analyst covering Application and Business Process Platforms

September 26 at 12:00 PM ET (18:00 PM CEST) RECORDING

Abstract: Application development continues to evolve, with many technologies addressing user needs and an ever increasing volume and complexity of use cases. This keynote looks at how the current trends of development democratization, task to process automation, and low-code are impacting the interest in, and adoption, of decision technologies, and extrapolates to their evolution in the late 2020s.


Neuro-Symbolic AI and Decision Rules

CHRISTIAN DE SAINTE MARIE, Program Manager at IBM

September 27 at 12:00 PM ET (18:00 PM CEST) RECORDING

Abstract: The fight between the symbolic and sub-symbolic schools of AI appears to be mostly over, as there seems to be a growing consensus that AI needs the two approaches to join forces, lest we will face a new AI winter. In this talk, I will look at the fast growing field of Neuro-Symbolic AI from the point of view of rules : how neural networks are used to represent, learn and execute rules, what are (some of) the associated problems and challenges, what are the benefits from these approaches and why they are important for the future of AI. I will present solutions that have been proposed for different kinds of rules, and I will focus particularly on the case of decision rules.


Knowledge Graphs: Theory, Applications and Challenges

IAN HORROCKS
Professor in the Oxford University Department of Computer Science

September 26 at 7:30 AM ET (13:30 PM CEST) RECORDING

Abstract: Knowledge Graphs have rapidly become a mainstream technology that combines features of databases and AI. In this talk I will introduce Knowledge Graphs, explaining their features and the theory behind them. I will then consider some of the challenges inherent in both the theory and implementation of Knowledge Graphs and present some solutions that have made possible the development of popular language standards and robust and high-performance Knowledge Graph systems. Finally, I will illustrate the wide applicability of knowledge graph technology with example use cases including configuration management, fraud detection, semantic search & browse, and data wrangling.


ASP in Industry, Here and There

TORSTEN SCHAUB
Professor in the Knowledge Processing and Information Systems at the University of Potsdam

September 28 at 7:30 AM ET (13:30 PM CEST) RECORDING

Abstract: Answer Set Programming (ASP) has become a popular paradigm for declarative problem solving and is about to find its way into industry. This is due to its expressive yet easy knowledge representation language powered by highly performant (Boolean) solving technology. As with many other such paradigms before, the transition from academia to industry calls for more versatility. Hence, many real-world applications are not tackled by pure ASP but rather hybrid ASP. The corresponding ASP systems are usually augmented by foreign language constructs from which additional inferences can be drawn. Examples include linear equations or temporal formulas. For the design of “sound” systems, however, it is indispensable to provide semantic underpinnings right from the start. To this end, we will discuss the vital role of ASP’s logical foundations, the logic of Here-and-There and its non-monotonic extension, Equilibrium Logic, in designing hybrid ASP systems and highlight some of the resulting industrial applications.

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