DecisionCAMP Day 1 Presentations and Recordings

  •  Welcome to DecisionCAMP-2024 by Jacob Feldman, DecisionCAMP Chair (Slides Recording)
  • Arash Aghlara (FlexRule): Exploring the Real Impact of Decision Intelligence (DI) in Modern Organizations(Slides Recording)
  • Denis Gagne (Trisotech): Mastering Decision Centric Orchestration: Balancing Human Insight and AI Automation for Justifiable, Context-Aware Business Choices (Slides Recording)
  • Falko Menge (Camunda): Advancing Decision Modeling: Unveiling DMN 1.6, SDMN 1.0, and SCE 1.0 (Slides Recording)
  • Jan Vanthienen, Caroline Heijmans, Aurelie Leribaux, and Alexandre Goossens (KU Leuven): Extracting decision models from images using deep learning (Slides Recording)
  • Alan Fish (FICO): Tending the Knowledge Ecosystem: Lessons from Life (Slides Recording)
  • Helmut Simonis (Insight Centre for Data Analytics, University College Cork): Approximating a Global Objective by Solving Repeated Sub-problems for an Oven Scheduling Problem (Slides Recording)

Program

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Beyond Data-Driven Decisions

This is a title of the article published by Eric Larson today. “Intelligent business leaders are noticing something important: having lots of data doesn’t always mean making good choices. So now, companies are changing how they use data. They’re moving away from just collecting lots of information and instead focusing on how to make better choices. This new approach pays more attention to each step of the decision-making process and examines how companies can improve their decision-making overall. Companies are using new software called Decision Intelligence Platforms (DIPs). These innovative decision-making tools mix data, analysis, and AI to help people and computers make smarter decisions. They turn raw data into useful information that helps with specific choices at all company levels.” Link

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Challenge Sep-2024 “Rental Boats”

In this challenge you need to help a boat rental company to purchase different boats while satisfying seating, manufacturers, and limited budget requirements. Your solution should maximize the expected profit. Link

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Constraint Programming: MiniZinc Challenge Results

Link

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Business Orchestration and Automation Technologies (BOAT)

Enterprise application leaders often struggle to implement process automation technologies due to the lack of a unified architecture. RPA, BPA, and other platforms are quite overlapping, most business automation vendors are working toward a general-purpose automation platform built around orchestration, connectivity and AI. Gartner calls this emerging platform the BOAT –  Business Orchestration and Automation Technologies. Join this complimentary webinar as a Gartner expert explores the new BOAT software platform. Link

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Safe Superintelligence

OpenAI co-founder Ilya Sutskever’s new venture, Safe Superintelligence, secures $1 billion for safe AI. “Building safe superintelligence (SSI) is the most important technical problem of our​​ time. We have started the world’s first straight-shot SSI lab, with one goal and one product: a safe superintelligence. It’s called Safe Superintelligence Inc. SSI is our mission, our name, and our entire product roadmap, because it is our sole focus. Our team, investors, and business model are all aligned to achieve SSI. We approach safety and capabilities in tandem, as technical problems to be solved through revolutionary engineering and scientific breakthroughs. We plan to advance capabilities as fast as possible while making sure our safety always remains ahead.” Link

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Have Chatbots Reached the Holy Grail?

On Sep 2, 2024 Prof Gene Freuder will run The Seventh Workshop on Progress Towards the Holy Grail. It will include the panel “Have Chatbots Reached the Holy Grail?”. You can read answers of 3 experts in constraint programming here. Similarly to many other decision intelligence experts, the common point of view about LLM capabilities is summarized by Thomas Schiex: “I believe that modern AI needs a more nuanced approach, blending data-driven intuition (System 1) with rigorous logical reasoning and planning (System 2). This integration is essential to get closer to what we usually recognize as intelligence. This could take some time.Link

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“DI is AI for Decisions”

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James Gosling about GenAI

James Gosling, the Father of Java, offers a thought-provoking critique on the GenAI hype, highlighting both its potential and the risks of overestimating its capabilities. Link

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IBM AI Roadmap for the next few years

Armand Ruiz, VP of Product – AI Platform @IBM, describes what is coming:

  • 2024: Build Modular and Multimodal Transformers for New Enterprise Applications
  • 2025: Alter the Scaling of Generative AI with Neural Architectures Beyond Transformers
  • 2026: Bring Robust Strategic Reasoning and Commonsense Knowledge to AI
  • 2028: Develop Broadly Intelligent Agents That Learn Autonomously
  • 2030+: Build Adaptable and Generalist AI for Effective Human-Machine Collaboration

“Beyond 2030, we aim to create adaptable and generalist AI that can collaborate effectively with humans. These AI models will be composed of modules with different cognitive abilities—such as perception, memory, emotion, reasoning, and action—allowing them to exhibit behavioral norms for social interactions and mutual theory of mind.” Link

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