solipb.blogg.se - Ai project canvas

#AI PROJECT CANVAS SERIAL#
#AI PROJECT CANVAS MANUAL#
#AI PROJECT CANVAS FULL#
#AI PROJECT CANVAS SOFTWARE#
#AI PROJECT CANVAS CODE#

This is not the most robust integration and should not be used for production, but will be enough to prove that a system will work before large amounts of time and money are invested to build or buy a custom integration.Īn example of Model Type - The Cognitive Company For this example let’s assume we will integrate with the system in the most basic way which is usually to export a CSV from one application and have it ingested by the downstream application on a certain schedule.

#AI PROJECT CANVAS SOFTWARE#

Common ERP systems are supplied by the big software players in the industry including SAP, Oracle and Microsoft, and can be integrated via various methods and connectors. The final destination for this data is the ERP system that tracks all of the raw materials and orders during the manufacturing process. The data for this NLP/classification algorithm will come from images sent from a mobile app which can be of varying quality and lighting due to the application being run on different types of phone and under different light conditions depending on the day and location in the warehouse. Unknown informationĪn example of Upstream and Downstream- The Cognitive Company The proposed solution is a camera system that can OCR the text from any label and enter it into the ERP system.

This means either the project will need a more thorough handover that includes education about ML models, on-going support, or the company could look to hiring a new team member if they have more ML projects on their product roadmap. This could pose a risk to the project during handover since there is no-one versed in ML applications on the team.

#AI PROJECT CANVAS MANUAL#

Includes web developers who could be made available to maintain a new system and procurement staff who currently carry out the manual task. To reduce transcription errors, reduce rework and increase efficiency.

There is currently no search capability on the manual clipboard method besides flipping through the sheets to make sure you have every item recorded.

#AI PROJECT CANVAS FULL#

It takes one full time employee (FTE), 1 day to complete this task each week, so any efficiency saving will help free up this employee to do more meaningful work.

Reordering errors cost the company $100k per month in raw materials.

We are going to fill this out for this hypothetical project.Īn example of the known information - The Cognitive Company Recall the ML/AI Model Canvas that we spoke about during the last post below.

Recording entries by hand takes a long time and is prone to errors.

Double-handling of data occurs through human entry.

#AI PROJECT CANVAS SERIAL#

“ Vendor: ACME Corp”, “ Serial Number: A29008529”, etc… that can be used as identifiers.

Text doesn’t always have preceding field name e.g.

There are many different labels from many different suppliers that can’t be known at the outset of the project and can change without notice.

Yes it is and this is an ML/AI Canvas that outlines how it might be achieved. What they need is a system that can run on a handheld device - like a mobile phone - that can take a photo, scan the text and automatically allocate each text string into the correct field and send it to the ERP. This is very close to a real life project that I have worked on in the past, except all references to people, industries and the problem itself have been completely changed for privacy reasons.

#AI PROJECT CANVAS CODE#

Hypothetically, let’s also say the company wasn’t able to use a barcode system or product code to enter the items into the ERP system. This template is later entered into an Enterprise Resource Planning (ERP) system to track inventory.

When an item is dropped off at the receiving dock by a supplier an employee uses a clipboard and paper template to write down key details about the item. Imagine for a moment we have a fictitious company called A-Corp, a furniture manufacturing company that is looking to solve an inefficiency in the way they receive raw materials from suppliers. The fictitious company A-Corp and the problem This post is a case study about how you might use the ML/AI Model Canvas for a hypothetical object detection and transcription project. If you haven’t already, read my first post about the basics of this canvas here ML/AI Model Canvas. I created this canvas to fulfil a need identified in the market to help data scientists and practitioners better communicate their projects to business audiences and to run more successful AI projects. In a previous post we discussed how I drew inspiration from the Strategyzer Masterclass to create the ML/AI Model Canvas. Photo by Pacific Office Interiors on Unsplash