Suppose you are an AI solution provider, and you constantly implement AI-driven products to help customers optimize current business processes or develop new business opportunities.
Remember the last time a retailer asked you to implement an AI-driven software product to predict the demand of products for the next week in every store. Or a manufacturer to find anomalies in IoT device behavior to take action and mitigate production downtime.
It is the first discussions and initial feasibility phase in which the course is set for a successful project and customer loyalty, or the opposite.
Customers often underestimate the technical complexities of their seemingly simple business requests and demand fast AI-driven products. In addition, they often have little to contribute to precisely describe product requirements.
The fast implementation of an AI product on the one hand and the detailed common understanding of the business problem, the planned solution and the required tasks on the other hand need not to be in contradiction.
Start your customer project with visual AI solution templates of similar problems.
Imagine you can use a similar problem with similar business drivers and desired outcomes, to visualize and explain every individual task, workflow and data operator that span a similar solution. Such that your customers understand and trust your proposed solution and its relation to their business problem.
Find & select visual AI solution templates with a few clicks that fit customers’ needs.
Imagine you need just a few keywords to find recommended AI solution templates for your customer’s business problem. Whether you look for a complete business case, a specific task and workflow, and even a certain data operator. The best AI solution template is just a few clicks away.
PredictiveWorks. adds the Structured AI Solution Language, SAISL, to the landscape of unified AI platforms. AI solutions are described as end-to-end reproducible and reusable SAISL documents, from business case, drivers and desired outcomes to associated tasks to workflows and workflow components.
A central repository is used to manage SAISL documents and provide easy access with a search and recommendation engine.
Declarative AI solutions, persisted as SAISL documents, represent a new era for AI solution provider. Projects produce plenty of ideas, tasks, workflows and configurations, and re-present valuable knowledge.
All this recorded as a single structured text document and made accessible via search and recommendation is a huge step to move far beyond standard Jupyter and other AI notebooks to make AI projects reproducible.
Originally published at https://www.linkedin.com.