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SANeForce offers CRM, CLM, SFE, SFA, services for pharmaceutical, FMCG and the healthcare industry for the past 15 years with more than 100,000 users. Our services enable pharmaceutical companies to be ahead of the changing market dynamics. It is a robust way to effectively pursue and achieve its business objectives. Our product allows the Sales team to target, prioritize, assess physician needs and develop solutions around those needs. The key competencies of field force can be assessed for better performance. Our analysis transforms the field force into a customer-focused field organization. Reporting made simple and on-the-go via Web, Mobile, and Tablet for the field force to spend more time on promoting the product. Our various facilities are Mobile App, eDetailing with CLM, GEO-Tagging, Geo-Fencing and Offline Reporting on Mobile App. For more info visit https://saneforce.com and schedule your free demo!
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Based on our record, Prodigy seems to be a lot more popular than SANeForce. While we know about 25 links to Prodigy, we've tracked only 1 mention of SANeForce. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
This is really cool. The annotation-to-testing-to-annotation-etc. Feedback loop makes a ton of sense, and I'd encourage others who may be confused on this post to look at the Automotus case study https://encord.com/customers/automotus-customer-story/ for the annotation side, but my understanding is the relationship between model outputs and annotation steering is out of scope for that project - do you know of... - Source: Hacker News / 4 months ago
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post. The steps... - Source: Hacker News / 8 months ago
Prodigy AI - Offers software engineers career coaching, skill assessment, and job matching. Visit Prodigy AI. - Source: dev.to / 9 months ago
I essentially want to use a Combo of OCR + NER to attempt to identify this, but I'm not sure NER is well suited for this, as it is not natural language, so there is little context to go off of. I was thinking of perhaps using Prodigy, a data annotation tool, to annotate Candidate Names, Races, etc, and perhaps it will be able to learn off of image data alone wheat these fields tend to look like. Source: about 1 year ago
I come from a similar application area, where I try to tag (annotation/label) a taxonomy of products iteratively. You are trying something slightly different, AFAIU, labeling a flat set of songs, each song with a set of tags from ontology (directed graph)From an application point of view, this is what taxonomists often do, when migrating products from one catalog to another: mapping one taxonomy to another. There... Source: over 1 year ago
The Cloud-based Payroll & HR software of SANeForce always aims to improve a company's Productivity, Employee environment, and set a Time-saving HR process. To be direct, with tons of Payroll management software available in the market. It is a tough task to pick the best which suits your business requirements. Source: about 2 years ago
Omnify PLM - Omnify PLM is a business-ready product lifecycle management solution.
SmartWindows.app - Auto arrange all your app windows, whether on one screen or many with a single click!
Enovia - ENOVIA offers product lifecycle management (PLM) solutions fostering innovation and operational excellence across industries.
Desktop Restore - MIDI-OX is the world's greatest all-purpose MIDI Utility.
Propel - Propel is a customer-centric PLM software built on Salesforce App Cloud platform.
Grand Tour Racing: GT-R 400 - Grand Tour Racing: GT-R 400 is a racing video game.
