2020 Galleries

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Galleries // 2020 Spark:Digital // IBM Automation Decision Services

IBM Automation Decision Services

Winner - Platinum

Competition: Spark:Digital
Designer: Myriam Battelli - Visual Designer
Design Type: Apps, Programs & Software, GUI & Web Design, Human Computer Interaction, User Interface
Company / Organization / School: IBM
Team Members: Myriam Battelli, Fabienne Schoeman, Aurélie Baton & Dave Clark

Most often operational decisions are made in the code of enterprise applications, which makes it very difficult to access and modify them. Enabling true business users to do the same without coding gives the agility and control that the business needs. That's where the design principles become hugely important. It's about providing a method where business users can build a decisioning process without coding at all. ADS introduces a visual decomposition of a decision into smaller decisions, where each of them is expressed through a simple formalism, or even in natural language. That's where a product manager can easily specify rules for a promotion, a sales manager define commissions for business partners, an underwriter decides to approve or reject a loan application, etc.

JUDGES COMMENTS:

IBM Automation Decision Services, Digital Design

"Assuming the service design analysis is solid and scalable, this helps bring predictive analytics as a service to a broad range of customers."

"In this Covid-19 era, IBM is proposing ADS to companies that need to decide in real time whether offices are safe for employees, what needs to be fixed, to anticipate risks, etc. Interesting!"

"Design system makes it feel easy to use - UX is focused on outcome driven solution to help drive the workflow - Streamlining and efficiency in workflow management - Good use of AI."

"Well thought out decision making tools are becoming increasingly desirable as we all are inundated with more and more info. Requires serious buy-in by user group to be accurate and effective."

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Decision solutions group related projects into a single place for collaborative working. The user can quickly identify solutions that belong to his department and see how recently they were updated.
Inside the solution, the user manages projects and collaborates with his teammates. A clear set of tiles and a logical navigation flow helps organize the decision projects.
The user can gradually compose decision models. Smart toolbar and fluid interactions for direct manipulation make creating a decision diagram intuitive.
Explorer&Go is an essential guidance on at every stage of the user journey. The user can use the contextual onboarding to learn how to use the tool.
The Explore&Go guide gives an introduction to the primary concepts of diagram building that represents decisions in a graphical way.
The Explore&Go guide gives an introduction to the primary concepts of predictive modeling that represents a pre-filled template to invoke Machine Learning.
The user can easily complete a preconfigured predictive model with the help of a tutorial to configure the invocation to Machine Learning.
The user can easily create the data types to use in rules and decision tables without intervention from IT. A default vocabulary is provided for each data type, so the user can create rules that are c
Rules are easily accessible and presented in understandable language. The user can quickly visualise the terms he can use and what they mean. It presents much easier way to understand and modify with
Empty states are a simple yet extremely powerful way to keep a user informed and supported. The user can easily receive useful and constructive guidance about next steps.