Enhancing Process Management with Process Mining

Max Tay published this article: “Growing numbers of vendors rolling out process mining platforms and its adoption is growing steadily, transitioning from early adopters to becoming one of the latest trendy tools in the industries. It has come out of age and reaching maturity in term of the methods, specialized software functions and applications.” He also added: “The advancement in process mining methods also allow extraction of business rules applied during the execution of the process. In short the possibilities to elicit operational rules and decision models, which may be implicit to the subject matter experts.Link 

Posted in BPM, Machine Learning, Process Mining | Leave a comment

DecisionCAMP Video Channel

You may find many (25) interesting recorded sessions devoted to Decision Management technologies at the DecisionCAMP’s YouTube channel. We started them before DecisionCAMP-2020 in June and now we continue with Monthly Online Sessions. Don’t miss the upcoming mini-events – the next one “Rules+Workflow” is on November 5. Link

Posted in Digital Decisioning, Events | Leave a comment

Decision Table Simplification

In response to our Sep-2020 Challenge, Dr. Bob Moore submitted a very interesting analysis of decision table compression/simplification approaches: “Understand what a decision table is for, before thinking about compressing it! There is a trade-off between compression and maintainability. We need to think about how it is likely to evolve over time. If we do not, we may find compressing it creates more problems than it solves.

Posted in Decision Modeling | Leave a comment

Gartner Market Guide for Process Mining

The 2020 Gartner Market Guide for Process Mining was published on Sep 30: “Recent trends in automation and knowledge of the underlying processes/interactions are key to digital transformation. Process mining helps enterprise architecture and technology innovation leaders understand operations and performance in order to create operational resilience.”  Link

Posted in Business Processes | Leave a comment

AI and “X”

Walid Saba started an interesting discussion at LinkedIn: It is amazing how the commercialism and the misguided hype have invented AI topics that have nothing to do with AI, only because AI is now a hot commodity. So now you have talks and seminars and NGOs and non-profit orgs (that later secure big funding!!!) under labels such as “Democratizing AI”, “AI and the Environment”, “AI and human rights”, “AI and Ethics”, “AI and Fairness”, … Shouldn’t we have (some) AI before we discuss “AI and X”? Link

Posted in Artificial Intelligence | Leave a comment

The Decision-Making Side of Machine Learning

Michael I. Jordan is a professor at Berkeley and one of the most influential people in machine learning, statistics, and artificial intelligence. Watch his recent presentation: “Much of the recent focus in machine learning has been on the pattern-recognition side of the field. I will focus instead on the decision-making side, where many fundamental challenges remain. Some are statistical in nature, including the challenges associated with multiple decision-making, and some are algorithmic, including the challenge of coordinated decision-making on distributed platforms.” See also his discussion with Lex Fridman. Continue reading

Posted in Decision Making, Machine Learning | Leave a comment

Intelligent Event Broker

Jason English, a Principal Analyst from Intellyx, wrote a whitepaper called Event Mesh: Event-Driven Architecture for the Real Time Enterprise”:  “We live and work in an event-driven world. Tightly coupled integrations, and conventional data transfer and processing techniques won’t be able to keep up with the accelerating pace of events in the new economy. Customer demand and cost pressures on IT will require enterprises to change the way they think about integration and messaging. In your next design or change exercise, rather than calling for more point-to-point integrations – start finding ways to incorporate pub-sub calls that support an event-driven approach.” Link

Posted in Architecture, Event-driven, Microservices, State Machines | Leave a comment

GPT-3, the latest evolution in language technology – What is the big deal?

Over the summer 2020, the latest language model from OpenAI, called GPT-3, created a lot of buzz around the internet. Both within the AI community and outside people shared links to numerous examples on what GPT-3 could do, ranging from writing poetry and generating HTML code to answering philosophical questions on the meaning of life. Link

Posted in Artificial Intelligence, Human-Machine Interaction, Knowledge Representation, Languages, Natural Language Processing | Leave a comment

A Farewell to In-Person Conferences? Anti-notes from DecisionCAMP-2020

This year almost all major conferences went virtual. Our 12th DecisionCAMP-2020 on June 29-July 1 in Oslo also went virtual and became a kind of success. No wonder: the registration count was 3-4 times larger than usual, people did not have to travel, the Zoom sessions ran rather smoothly and the use of Slack for QnA was very helpful. Along with interesting technical sessions, we even had a virtual cocktail-hour with BYOD. Sandy Kemsley did a great job as our moderator. All sessions were synchronously streamed live at DecisionCAMP’s YouTube channel and all recordings were made publicly available on this channel almost in no time. The majority of attendees liked to event. So, as many other conferences, we managed to convert a virtual necessity to actual success. But why do I, the chair of this successful conference, not feel satisfied? Continue reading

Posted in Decision Modeling | Leave a comment

Real-Time Decision-Making

How does your Decisioning Platform support real-time decision-making? Coolfire: “In order to make real-time decision-making a core organizational capability, it’s time for organizations of all kinds to invest in a platform designed to make their data actionable. That means utilizing a technology designed precisely for real-time operational success. Throughout industries, it’s the companies already investing in this capability that maintain an edge on the competition. When the right data is delivered at the right time — to the people that need it — the results can be transformative.”  Link

Posted in Decision Making, Digital Decisioning, Event-driven, Reactive Rules | Leave a comment