A platform for developing generative AI solutions and custom copilots. Azure AI Studio includes catalog of models from OpenAI, Hugging Face, and Meta, that can be applied over in-house data. It is intended for professional software developers—including cloud architects and technical decision-makers—who want to create generative AI applications and custom copilot experiences.
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Hotjar
Score 8.0 out of 10
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Hotjar is a conversion rate optimization tool for digital marketers. Features include heatmapping, visual session recording, conversion funnel analytics, form analytics, feedback polls and surveys, and usability testing.
The tool is used by digital analysts, UX designers, web developers and product marketers. Hotjar was acquired by Contentsquare September 2021, and is now a Contentsquare brand.
I am deploying a lot of pipelines and making a lot of variants of these pipeline segments, like different types of vector search techniques. The simple way to mix and fix these segments to run the whole pipelines in notebooks options are big overhead killer. The playground which provides a test sandbox helps a lot to evaluate LMs if they are the best fit for our use-case even before deploying and startup with the costing angle.
Hotjar is good for a first pass at understanding user sentiment or locating potential usability issues. There are features such as "rage clicked" which shows recordings or instances when a user rage clicked or had an issue with your site. Hotjar has also been helpful to launch intercept surveys on mobile, desktop, and app, which not all competitor software allow. Hotjar recordings are fun to watch. "Watching Hotjar like Netflix" is a favorite pastime at work.
Wide Catalog of Models is a beautiful feature for all who want to evaluate a lot of models before proceeding with any client use case for the best performance.
Playground for testing and evaluating visual comparisons on so many metrics like latency, cost, and output time.
Integration with other Cloud services, this makes the full complete solutioning and vision complete, from storage to compute.
Heat mapping is great on Hotjar. It is a good place to start when you are looking at the UX & CRO on your website. You can see the % of people clicking on elements on a page, how far they scroll, and mouse movements.
Hotjar is great for session recordings. These record the mouse movements, clicks, pages and scrolls of a user in video format. You can watch these to investigate what works well on a site and identify potential roadblocks and bugs.
Hotjar is great as it ensures that users details are anonymous; for instance, if you are watching a session recording, you cannot see what a user types in a form field, as Hotjar blanks this out.
Hotjar has a poll function, so you can have polls on your website.
Model Catalog can have a feature to show basic compute and the cost of running the model on that compute. With latency metrics, I generally need to do a lot of research before losing some dollars on deployment on hit and trials.
Documentation generator for pipelines deployed in notebooks, generally developers use notebooks for experimentation, where logging them can be a big overhead.
Even though the heat maps and user recordings were useful, our website was significantly slowed down after we installed Hotjar, so much so, that it took over a minute for our blog to load. The data that we gathered was not worth the length that it took our website to load.
Microsoft Foundry includes the existing AI Services. It's quite literally Cognitive Services under the hood, so in that sense, if you're building a new "AI app" today where you would have deployed an AI Services Account, you can deploy Microsoft Foundry instead. The side benefit of that is that Foundry also includes model deployments, and more than just the OpenAI models. So, it removes the need for deploying a separate Azure OpenAI Service in some circumstances. Then finally it has agent capabilities too. So, if you're developing and deploying agents as part of your solution (which usually interface with a model) then you can do that from there as well. Effectively it's meant to be a one-stop-shop for all things AI, just like Fabric is for data.
So easy and simple to use! Straightforward anyone in the team is able to easily go in and set up anything in Hotjar. The UI is really simple. Whenever you give feedback to Hotjar they continously take on board the feedback and improve the tool.
Hotjar is a SaaS-based company, and as such has a good support service. Users can quickly submit support tickets through Hotjar's online portal. Enterprise customers get access to additional support members and have SLAs to support their larger, more complex needs. Overall, Hotjar is extremely reliable and I've never had to reach out to customer support.
Azure AI Studio were the pioneers of DevOPs, so MLOPs feels quite a bit better on this platform than Google. Azure brought OpenAI into the system which made the Organization to shift from any other platform to Azure AI Studio.
Video Capture - HotJars video capture of user sessions is nothing short of amazing. It is so useful (not to mention cool) to see, in real time, how users interact with our software. It makes our jobs so much easier and more enjoyable to get this type of d
User Surveys - The ease and flexibility of surveys we can make available on our website are an awesome tool to get additional data.
Simple implementation - Adding a very small amount of code to our website gives us the ability to use all of HotJars features without having to touch our code again.
Onboarding a team member for the codebase is slightly slower, almost 20% slower. As codebase sharing is like a git pull from repos, whereas here we need to provide all the access.
I have experienced scaling up speed almost 50% faster as per compared with on-prem solutions. ML models are faster deployed in terms of on-prem deployments.
10 times better Azure AI Studio for cost visibility over any other solution.
We have fixed many issues, for example, checkout usability problems with the video recording feature. You can catch bugs and get an overall idea of how a particular page is working.
Polls have helped us pair intent with the video sessions, so we can understand better why certain users answered different things. You get greedy and try to ask everything but that won't work. Keep it simple and it will give you small but important insights.
