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, Amazon Rekognition seems to be a lot more popular than SANeForce. While we know about 33 links to Amazon Rekognition, 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.
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
AWS Rekognition is a great choice for many types of real-world projects or just for testing an idea on your images. The issue eventually comes with its cost, unfortunately, which we will see later in a specific example. Don’t get me wrong, Rekognition is a great service and I love to use it for its simplicity and reliable performance on quite a few projects. - Source: dev.to / 3 months ago
I don’t really want to spend so much time manually adjusting labels. For most machine learning, the next step would be to fine tune your model. You can essentially fine tune Amazon Rekognition by using Custom Labels. You can do this to make it better at detecting specific objects (like bears) or train it to detect new objects like your product or logo. It really depends on your application needs. - Source: dev.to / 11 months ago
For instance, are you a company with lots of security cameras? Hire me to write a program that pipes your data into AWS rekognition and then shows you a dashboard of what happened on your cams today. Got a ton of products with no meta-description? Hire me to write a program that pipes your data into OpenAI, and then saves the generated description to your custom CMS. Source: 11 months ago
Amazon Rekognition: Used to index, detect faces in the picture, and compare faces when users try voting, it was the heart of the facial voting feature. - Source: dev.to / about 1 year ago
Sure. But if you think generating thumbnails and detecting intros/credits takes a long time, wait until your computer is running machine learning/computer vision over your entire library. They also have to build and train that model which is no trivial task. And I know what you're thinking, why don't they just use Amazon's Rekognition service that does celebrity identification? Well, it's $0.10 per minute of... Source: about 1 year ago
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