Human-Machine Conversations: Dynamic Planning and Composition

Posted on May 17, 2023 by decisionmanagementcommunity

This article summarizes recent advances in dynamic planning for human-to-assistant conversations. Many types of conversations, from gathering information to offering recommendations, require a flexible approach and the ability to modify the original plan for the conversation based on its flow. This ability to shift gears in the middle of a conversation is known as dynamic planning, as opposed to static planning, which refers to a more fixed approach. Unlike LLM methods, this approach gives the assistant the ability to fully control the source, correctness, and quality of the content that it may offer. At the same time, it can achieve flexibility via a learned dialogue manager that selects and combines the most appropriate content. Link

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AI: Yann LeCun vs Yuval Noah Harari

Posted on May 14, 2023 by decisionmanagementcommunity

Yann LeCun and Yuval Noah Harari are complete opposites. One is a researcher, the other a historian. The former sees no reason to panic about the emergence of AI, while the latter fears that it will lead to the collapse of our civilization. Le Point organized their video call between New York and Jerusalem which you can read here. Spoiler: Le Point couldn’t get them to agree. Link

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Decisions as Code

Posted on May 12, 2023 by decisionmanagementcommunity

NextMV (“next move”) is a startup that provides solutions for Decision Optimization in the Routing, Scheduling, Packing, and other domains. “Building and shipping algorithms is tough. (87% of algorithms never make it to production.) Even when an algorithm makes it to production, you’re just hoping the business logic doesn’t change too quickly. Because it will and then it’s back to the drawing board. What if decision algorithms looked and felt more like regular software? What if they were easier to test, modify, customize, and deploy when business logic changes? What if they were multi-paradigm and you could use the best optimization approach for your decision? What if all organizational decisions could look and feel the same through a single technology? And so Nextmv was born.” Link

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Programmers of the future will be artists

Posted on May 4, 2023 by decisionmanagementcommunity

Lex Fridman tweeted today: “The impact of creativity in prompting ChatGPT is limitless. It feels to be more of an art than a science. Great “programmers” of the future will in part have to be artists. Perhaps they always were, but now the method and medium of creation has become much more accessible.”

Posted in Art, Artificial Intelligence | Leave a comment

Decision Intelligence and Customer Experience

Posted on April 29, 2023 by decisionmanagementcommunity

This month Forbes published James Taylor’s article “Using Decision Intelligence To Unlock Excellence In Customer Experience“: “Decision Intelligence can be key to unlocking excellence in customer experience. Customer experience depends on the decisions you make when interacting with your customers. And not just any decisions, but high-volume operational decisions requiring both precision and efficiency.” Link

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Forrester: “The AI Decisioning Platforms Landscape, Q1 2023”

Posted on April 29, 2023 by decisionmanagementcommunity

Forrester published a new report “The AI Decisioning Platforms Landscape, Q1 2023“: “You can use AI decisioning platforms to automate complex, consequential business decisions, make AI decisioning teams more agile, and combine the latest decisioning technologies. But to realize these benefits, you’ll first have to select from a diverse set of vendors that vary by size, type of offering, geography, and use case differentiation. Technology leaders should use this report to understand the value they can expect from an AI decisioning platform vendor, learn how vendors differ, and select one based on size and market focus.” The report includes an overview of 20 Vendors. Link

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Semantics, Ontology and Explanation

Posted on April 26, 2023 by decisionmanagementcommunity

While ChatGPT dominates social forums, scientists quietly continue to work on real understanding of our surrounding using 100-years-old concepts of Logic, Semantics, and more recently Ontologies. Computer science people build symbolic models to represent their assumptions about a certain domain using some kind of formal semantics in order to use, and especially in order to share these models. This paper extends traditional conceptual models that need to be explained in terms of their ontological commitments to the world. This process of explanation is a process of revealing the real-world semantics of that model. Link Consider this simple example:

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Posted in Artificial Intelligence, Knowledge Representation, Logic and AI, Semantic Web | Leave a comment

Present at DecisionCAMP-2023

Posted on April 25, 2023 by decisionmanagementcommunity

These days everybody talks about AI. If you are a person who “walks the talk” and want to share your AI experience with practitioners like you, DecisionCAMP is the right place to do it. DecisionCAMP is an annual event devoted to Decision Intelligence technologies that bring AI into the hands of business users. DecisionCAMP presenters explain how to build Intelligent Decision Services and integrate them into modern enterprise architectures. This year DecisionCAMP will be held online on Sep 18-20. To become a presenter, submit an abstract of your presentation by June 1 – see Call for Presentations.

Posted in Artificial Intelligence, Decision Intelligence, DecisionCAMP, Events | Leave a comment

AutoGPT

Posted on April 25, 2023 by decisionmanagementcommunity

This week’s hot AI thing is “AutoGPT” which is designed to automate GPT-4 tasks, enabling the creation of agents that complete tasks for you without any intervention. AutoGPT is a way to get a model to chain together multiple GPT queries to work towards an objective. Instead of typing in one prompts at a time, you might be able to assign tasks and goals and have the system work out a sequence of prompts by itself. Link1. “AutoGPTs are improving at a blazingly fast speed and could soon transform the face of business.” Link2

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Challenge May-2023 “Next Best Action”

Posted on April 22, 2023 by decisionmanagementcommunity

“Next best action” is a popular decision-making strategy. But how to define the “best” next action? This challenge may demonstrate it. Consider an NxN grid of lightbulbs. We are given an initial state where some of the bulbs are off and some are on. Then, at every step you need to choose a bulb in the off state. It will turned on, and every other bulb in the row and in the column of the bulb will be toggled: If it was on, it turns off, and vice versa. The goal is to reach a grid where all the light bulbs are on. Link

Posted in Challenges, Decision Making, Decision Optimization | Leave a comment