TensorFlow is an open-source machine learning software library for numerical computation using data flow graphs. It was originally developed by Google.
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Vertex
Score8.8 out of 10
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Vertex is global indirect tax compliance software for enterprise tax and finance teams. Indirect tax covers transaction-based obligations, such as sales and use tax, value-added tax (VAT), and goods and services tax (GST). Vertex supports tax determination, electronic invoicing (e-invoicing), reporting, filing, and audit-readiness workflows. Vertex’s official website Key Capabilities Tax determination: Calculates applicable indirect taxes…
TensorFlow is great for most deep learning purposes. This is especially true in two domains: 1. Computer vision: image classification, object detection and image generation via generative adversarial networks 2. Natural language processing: text classification and generation. The good community support often means that a lot of off-the-shelf models can be used to prove a concept or test an idea quickly. That, and Google's promotion of Colab means that ideas can be shared quite freely. Training, visualizing and debugging models is very easy in TensorFlow, compared to other platforms (especially the good old Caffe days). In terms of productionizing, it's a bit of a mixed bag. In our case, most of our feature building is performed via Apache Spark. This means having to convert Parquet (columnar optimized) files to a TensorFlow friendly format i.e., protobufs. The lack of good JVM bindings mean that our projects end up being a mix of Python and Scala. This makes it hard to reuse some of the tooling and support we wrote in Scala. This is where MXNet shines better (though its Scala API could do with more work).
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I have used Vertex since the very beginning of my career. I have always found the information clear, and easy to use. The documentation to use the product was thorough. We file returns in all 45 states that have sales / use taxes and having the ability to import data, key additional data in and print out a signature ready return has made life easy. I've never wanted to look at any other return preparation software as none of them come close to the product that Vertex created.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Vertex does a great job of building in-house industry expertise (leasing in our case) so they truly understand the tax technical and compliance obstacles we face day to day.
Vertex actively solicits for and responds to customer feedback on development and product roadmap suggestions. The Leasing users group is an example where Vertex takes an active role in communicating with and taking feedback from our industry.
Vertex tax updates are very timely and thorough, which makes the compliance process less stressful for our team.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Theano is perhaps a bit faster and eats up less memory than TensorFlow on a given GPU, perhaps due to element-wise ops. Tensorflow wins for multi-GPU and “compilation” time.
Reporting: Vertex VAT Compliance is not fully ready to support all EU country's requirements.
Data storage.
Online reporting in VVC: many countries require to report VAT Declaration in an electronic way. This function is still missing for some of the countries from VVC.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We are satisfied with the overall performance of Vertex. The software has provided my company with many efficiencies. We have shorted our audits and found that many audits are happy that we are using Vertex to calculate our taxes. We no longer need to worry about updating our rates each month since Vertex sends us a file to upload
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Vertex itself is very good software. Its tax calculation is very accurate, and there should be no doubt whether Vertex is calculating the tax. Customer support is also good, and the response is quick. The updates are also good and easy to understand, making this an excellent application.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Our Vertex performance is good, although we are now experiencing Error 502 when adding additional data points to our transaction tester single tests. At Exchange, I was told to reach out to support....that most likely the On Demand system needed some additional CPU resource added. I have a currently open ticket, that has not yet been fixed on this matter
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Community support for TensorFlow is great. There's a huge community that truly loves the platform and there are many examples of development in TensorFlow. Often, when a new good technique is published, there will be a TensorFlow implementation not long after. This makes it quick to ally the latest techniques from academia straight to production-grade systems. Tooling around TensorFlow is also good. TensorBoard has been such a useful tool, I can't imagine how hard it would be to debug a deep neural network gone wrong without TensorBoard.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Level 1 support has always been kind and understanding but times they do not always provided the technical help sometimes their response or protocol is not related. I feel that I have to beg for a developer to look over my issue. On the other hand, there have been times a Level 1 support person has taken the time to research my issue and provide valid feedback & solution
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
By training I'm referring to our engagement with Vertex Consulting's professional services group. Each person on the engagement had prior leasing industry tax experience and most if not all used O Series before joining Vertex. Consultants with industry specific tax experience provide so much more than just "training". They are able to engage in deep tax technical discussions with actual experience while in private practice. This coupled with having visibility to how numerous other leasing peers approach similar tax issues is a huge plus on top of the standard training.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Vertex has offered multiple webinars for the products we have purchased that are informative and helpful. I've also attended a few of the Vertex annual conferences where I was able to strength my knowledge of Vertex. I also found that their online library and videos can be helpful in resolving issues and answering questions.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
The implementation is challenging, make no mistake but will provide much value over time. Make sure you have full support of IT and your major stakeholders in your company. I found that while many people claimed to understand tax was important, they had no idea how deep tax in entrenched throughout the lease life cycle.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Keras is built on top of TensorFlow, but it is much simpler to use and more Python style friendly, so if you don't want to focus on too many details or control and not focus on some advanced features, Keras is one of the best options, but as far as if you want to dig into more, for sure TensorFlow is the right choice
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
In comparison specifically with Avalara, Vertex is better in every way. It is much more customizable and allows us to change the way our tax software is set up for our business needs. Avalara is much more constricted, and is using the SST system which can allow for simplified returns, but in our case was causing more problems. Avalara is also much more expensive than Vertex, for less capabilities. Vertex' customer support is much stronger than Avalara's, as they are focused on obtaining and retaining customers whereas Avalara was continually trying to find ways to get money from us
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
There needs to be a time-consuming setup both in the Enterprise Resource Platform and in Vertex and the related tools as well but once this is all established, Vertex is very proficient at calculating Sales and Use Tax in the USA and in Canada with GST/HST, as well as several of the provinces where we are located. As we added plants in different jurisdictions via greenfield expansion and aquisition, Vertex was able to integrate those as long as the tax department is fully informed of the system.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
We use Vertex on a monthly basis to see if tax has been over-accrued or over-charged on invoices. We do save tax every month using the tool. Not at liberty to share too much more - the technology does assist the human efforts.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
