Cloud AI Developer Services Reviews and Ratings

I am website developer, it will help me alot, like making functionality for mega menu, popup contact form 7, after submit form making the trigger function, making the e-commerce shipping policies.

Azure AI services provides a great range of capabilities and tools for developing and deploying artificial intelligence solutions. This is really helpful in making our daily work better and faster as it is easy to manage lot of work with this tools. They are regularly adding new features and capabilities so AI azure services are continuously evolving and making our work easier.

makes AI accessible for every use case. reduces manual work and increases scope for automation

It enable to integrate natural sounding speech synthesis into application

Really good set to get started with ML, when you dive in deeper you might end up using your own models.

Google Vision AI enables us, the developers, to integrate advanced image analysis features into the applications we are using without too much effort.

When we were looking for an ML/AI Development IDE to accelerate our ML/AI Journey. Our most significant consideration was look out for a platform that helps accelerate the build of Citizen Data Scientist who typically lie to play in low code environment, while not losing the high code Data Scientist Experience. One of the Consideration was to make sure the Technology is flexible, not proprietary and configurable to ever changing ML/AI technology Landscape. We want to achieve all these thing without losing ease of use, collaboration, reusability and productivity, and Dataiku is precisely fit for the bill.

Its a versatile platform which empowers businesses to implement AI solutions efficiently.

Utilizing Azure Cognitive Services we were able to index long form video content at scale and found the image recognition and tagging capabilities superb for generating large amounts of accurate time-based metadata.

We wanted to better leverage our internal datas, to better define our ICP (ideal customer profile). We initially had assumptions and wanted AI to identify key customers' attributes to better target our marketing campaigns, pilot our sales team and refine our messaging. Aible provided us with the right methodology and platform to do so, and we were able to leverage their team's capabilities in ML/BI, which was key, as we couldn't do it in-house.

Clarifai has been an exceptional partner, allowing us to provide Computer Vision capabilities to our customers through our SaaS product offering.

Overall, Google Cloud Text-to-Speech is an outstanding product to have for a small business. I love how it coverts my voice to text. That's really helpful during emailing or sending quick message across the team and even client.

Google translation is the leading tool for your translation needs. It provides the most accurate output and best suggestive information.

Vertex AI is a powerful tool that helps us accelerate AI development and deployment processes

Our partnership with Salesforce has always been valuable and efficient. We've been satisfied and impressed with the level of service provided by Salesforce, especially to a small-scale business. Specifically, we have accomplished great successes with Salesforce Einstein and its ability to significantly streamline our business process.

Microsoft Azure Open AI services for developers of an AI-driven project provide rich documentation for API integration with Incredible Natural Language Processing. Azure Machine Learning Studio, helping with easy modeling, training, and deployment. performance and scalability are great advantages. AI code assistance helps to identify and enhance coding performance and enhancement.

The supplier Huawei in recent years has been a great relief for our company, as it has a highly specialized technology in the field of cloud development and artificial intelligence, since it greatly facilitated my team to solve problems in the most efficient way possible.

When I use the TI platform, I use the Notebook function the most.The platform can well support the creation and use of 100+ Notebooks at the same time. It's very stable and I'll continue to use it in the future :-)

AWS makes code build and management easy to do and use. this helps go fast

IBM Watson Studio is one of the best low-code environments for managing AI applications; we use the AutoAI feature extensively to save time on model selection. It's got everything you need for low-code as well as a fully-featured code environment.