1. AI Software – Objective
Through this blog, we will learn about Artificial Intelligence Platform Software or in general, we called it AI Softwares. Also, will learn Best AI Software – TensorFlow, Azure Machine Learning, Salesforce Einstein, Ayasdi, Playment, and Cloud Machine Learning with their likes and dislikes.
So, are you excited for Artificial Intelligence Platform Software (AI Software)?
AI Software – Best Artificial Intelligence Platform Software
2. What is an AI Software Platform?
Developers trying to build their own intelligent applications
on top of a platform. As AI software platforms are the ideal solution.
These are the best Artificial Intelligence Software Platform:
- Azure Machine Learning
- Salesforce Einstein
- Cloud Machine Learning
Nowadays, AI Software is everywhere, smartphones, ATM, Voice and image recognition (security), Social networks, websites etc. These are some example of real-time usage of Artificial intelligence. In the next decade, we can see many innovations through this AI software.
Best AI Software – Artificial Intelligence Platform
TensorFlow – AI Software
It is an open-source Artificial Intelligence software library for dataflow programming. It is a symbolic math library. Also used for machine learning applications
such as neural networks
. TensorFlow was developed by
the Google Brain team for internal Google use.
What do you like best?
With TensorFlow- AI Software, you can do pretty much anything you want in the broad area of machine learning. But the amazing thing about it is that you can also use this software to deal with math problems. The use of computation graphs along with TensorBoard makes model visualization very intuitive.
Once you get the hang of things, it can be quite rewarding.
Also, as the software is updated quite. Also, it seems the documentation is not as accurate as it could be, leading to quite a few headaches.
b. Azure Machine Learning
Azure ML-Artificial Intelligence Software
Microsoft Azure Machine Learning Studio is a collaborative, drag-and-drop tool. You can use to build, test, and deploy predictive analytics solutions on your data. Machine Learning Studio publishes models as web services. Also, it can be consumed by custom apps or BI tools such as Excel.
What do you like best?
Azure Machine Learning – AI Software, has got a nice user interface, drag, and drop components and connect them to build your model. you can also customize various components or code in python
to have a custom component. It has a nice interface to visualize data and easy to deploy your project. You can upload dataset from various sources. The best thing is its amazing interface.
It also has Cortana intelligence suite and other stuff worth trying that gets work done fast and easy. It trains the model fast.
You have to have an internet connection to use it. Interface to code in python and R support is not good. A better interface to write code was expected
. to use it, you need to know what you are doing. You need to have skills in data science
and machine learning
c. Salesforce Einstein
The goal of Salesforce Einstein – Artificial Intelligence Software, is to give sales and marketing departments updated views of sales prospects. As customer relationship management (CRM) becomes more data-driven. Also, the role of predictive analytics has grown and become more important.
Einstein is so helpful when looking at an entire division or team’s worth of pipelines. When you need to forecast deals and categorize them. As according to quality, this gives you a perfect view to easily assess the numbers.
I wish you could open several different lenses rather than just one at a time.
Ayasdi – Ai Software
The Ayasdi is a machine intelligence software company. Also, it offers an AI software platform. Moreover, applications to organizations looking to analyze and build predictive models. As models are using big data or highly dimensional data sets.
Provide a new way to analyze and visualize clinical data. As it was based on Topological data analysis. A web-based interface is straightforward. We used hundreds of thousands of records but data processing is fast. Visualization is beautiful and provided with handy navigation, with necessary descriptive statistics.
I don’t understand why they separated Ayasdi Care and Workbench. I hope they have one tool that can consume one data source but other analytics. To use Ayasdi Care you need to learn Python SDK and should be handy enough to deal with it.
Playment – Ai Software
An AI Software aims to ease a platform where humans and machines can work together. As it helps to solve problems which were previously unsolvable at scale. We’ve are currently working with some of hottest computer vision based startups. And companies working in autonomous driving, visual search, and we need our designs to be up to the mark.
Playment helped Flipkart in the cataloging of over 2.5 million products. It is within 2 months with minimal training effort required from our side. While offloading such high scale operations, the SLAs has never been compromised.
It was amazing to see such smooth project management with the easy availability of the team at any point. Overall, the hassle free and cost effective experience is commendable.
f. Cloud Machine Learning
It makes it easy for you to build sophisticated, large-scale learning models in a short amount of time. It’s portable and scalable. Cloud machine learning works with data in many formats. Also, it is well integrated with other cloud platform products. Such as google cloud dataflow, Google BigQuery.
I like the amount of storage you receive to store finished training modules. I also like the guidance given throughout the wizards. That need to help ensure your finished product is awesome. This program is compatible with many devices for me to use at home and at work.
I disliked the way that the Google cloud did not have a common area to find previously created modules to use. This made it necessary to design from scratch. Sometimes time constraints made this difficult and time-consuming.
So, this was all about Best AI Software. Hope you like our explanation.
3. Summary of Artificial Intelligence Platform Software
As a result, we have studied Best Artificial Intelligence Software. Also, learned likes and dislikes of this Artificial Intelligence platform. AI Software is important to understand in detail, as it’s hot and trending topics nowadays. Furthermore, if you have any query, feel free to ask in a comment section.