CES 2019: A Show Report

Posted on January 16, 2019 by decisionmanagementcommunity

Steven Sinofsky published his report from CES 2019, “the annual gathering of over 180,000 people from all over the world who converge on Las Vegas to see the latest and greatest from over 4,000 exhibits. This year was interesting and thought-provoking. Many technologies are maturing and what is needed now is a great deal of work to make them far more usable, useful, and desirable for the mass market. Please enjoy this report of the goings on at the show.” Link

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Can man ever build a mind?

Posted on January 12, 2019 by decisionmanagementcommunity

On Jan 10, 2019 Financial Times published an interesting article written by a UK neurosurgeon that lists AI problems:
“The biggest is that brains are nothing like computers”
“The human brain, it is suggested, will never be able to understand itself. You cannot cut butter with a knife made of butter.” Link

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XAI – Explainable Artificial Intelligence

Posted on January 11, 2019 by decisionmanagementcommunity


Two new articles about explainable AI: Link1 Link2

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Roger Martin at Thinkers50 Forum

Posted on January 5, 2019 by jacobfeldman

As the keynote speaker of the Thinkers50 European Business Forum 2018 and #1 ranked Thinkers50 business guru, Roger Martin shares his latest ideas about how we can make better choices in today’s business world. “We operate on the basis of models. Sometimes the models end up being not as helpful as we wish. I pointed out to three prominent models that are in existence in the business world now.” Link

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Challenge Jan-2019 “Identify Unfriendly Robots”

Posted on January 3, 2019 by jacobfeldman

Our Jan-2019 Challenge asks you to help a cyber police to specify rules that identify if a robot is friendly or unfriendly. The rules can be expressed in terms of any features you can see in robots, such as the shape of the head, the color of the jacket, the height, the color of their antennas, what they are holding in their hands, whether they are smiling or not, etc. When manually determined rules failed,  the police started to look at the integrated machine learning and business rules approach. If you can help, please send your solution to  DecisionManagementCommunity@gmail.com.

Posted in Business Rules, Challenges, Decision Modeling, Machine Learning | Leave a comment

The Most Popular DMCommunity’s Posts of 2018

Posted on December 30, 2018 by decisionmanagementcommunity

Here is the list of the most viewed DMCommunity.org pages and posts in 2018:

Page/Post Views
Challenge Feb-2018 823
DecisionCAMP-2018 550
Challenge April-2018 508
Gartner Top 10 Strategic Technology Trends for 2018 437
Challenge June-2018 422
Challenge Nov-2018 378
Three Levels of Problem Solving 369
Challenge Jan-2018 302
It’s time to trade rule technology for state of the art AI? 216
Notes from DecisionCAMP-2018 215
Blockchain Reference Architecture and Decision Models 200
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Bill Gates: a new way to look at Leonardo

Posted on December 27, 2018 by decisionmanagementcommunity

  “If you just look carefully, you could really figure the world out”

On Dec. 18 Bill Gates wrote: “I’ve been fascinated by the artist and inventor Leonardo da Vinci for decades. He had one of the most innovative minds ever. Next year is the 500th anniversary of his death, and I thought I would share a short video about a project I’ve worked on that is helping to mark the occasion. The project is called the Codescope. It’s an interactive kiosk with a touch screen that lets you explore the Codex Leicester, a notebook of Leonardo’s that I bought in 1994. Using the Codescope, you can learn about the history of the notebook, see every page of Leonardo’s original writing, get a translation, and even watch animated versions of his drawings.” Video Continue reading →

Posted in Art, Human-Machine Interaction, Misc | Leave a comment

Rule-Based Bots vs AI Bots

Posted on December 24, 2018 by decisionmanagementcommunity

According to this article, “Companies like Amazon are dumping AI-powered chatbots in favor of ‘dumb’ bots that make customer service smarter. That’s because rules-based chatbots are cheaper, easy to implement, 99-percent effective, and solve issues fast… Rules-based bots that offer pre-populated responses are far more accessible and user friendly (to compare with NLP-based bots), and improve the customer experience significantly, especially in complicated situations where the customer requires guidance — but might not even know how to ask for what they need.” Read more about different ways to build Knowledge Bots: Link1 Link2 Link3 Link4 Link5

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How to Drive a Successful Decision Automation Project

Posted on December 21, 2018 by decisionmanagementcommunity

Jerome Joubert from IBM published an article with this title listing three important factors which drive success with your decision automation project:

  1. Business-oriented methodology. Let your business experts take control by discovering business decisions and validating them with no need to write code. For example, consider a collaborative platform where they can directly author, change and validate business policy decisions and share with team members.
  2. Ability to grow with changing needs. Decisions are the key assets driving business, and you will need to manage them professionally. Imagine if you have a single platform that scales from your first project to an enterprise-wide program without the need for huge incremental investment.
  3. Intelligent operations with robotic process automation. Bots can help you automate repetitive tasks, but you can make them much more intelligent by allowing them to make decisions, such as those involving eligibility, compliance, pricing and tax decisions. Link
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The same Challenges for AI and Decision Models

Posted on December 17, 2018 by decisionmanagementcommunity

Peter Voss just quoted this Harvard Business Review’s article: “The scientific community is good at building AI models that perform a single task really well. But more intuitive, conversational, and contextual interfaces will require an AI model that learns continuously — integrating new tasks with old tasks and learning to perform ever-more-complex ones in the process.”  We can easily replace “AI models” to “Decision models” and point to probably less ambitious but still very important challenges in real-world Decision Management Link

Posted in Artificial Intelligence, Decision Modeling, Natural Language Processing | Leave a comment