Artificial intelligence (AI) is a multidisciplinary branch of computer and data science that has been commercialized as a high-value technology. The goal of this technology and the data scientists behind it is to make computers efficient enough to perform tasks that would normally require human intervention, and the computers learn by “learning” from “experience,” which is a large amount of data. AI is one of the most significant scientific achievements of the twenty-first century. The current technological buzzwords in the world of technology are artificial intelligence (AI) and machine learning (ML). Data Science is the umbrella term for AI and machine learning. At the other end of the spectrum, machine learning (ML) is one of the most exciting areas of AI. It learns from experiences, just like a human, by analyzing thousands of examples to create an algorithm. It tweaks the algorithm over time based on whether it achieves its goal. At SBR, we believe that AI can help you accomplish more in less time. 

Developing an AI solution isn’t a one-dimensional task, either, because you may need to use multiple approaches to achieve your goals. Machine learning (ML), natural language processing (NLP), vision, speech, and other AI capabilities, for example, may be required. “Artificial intelligence: definition, types, examples, technologies” discusses these capabilities.

When working on a project this large, you need the right toolset, so having a solid set of AI development tools is essential. The following artificial intelligence tools should be included in a robust AI development platform:

  • Expert systems; ML capabilities such as deep learning, supervised algorithms, unsupervised algorithms, and so on; 
  • NLP capabilities such as classification, machine translation, and so on;
  • Automation;
  • Image recognition and computer vision are examples of vision capabilities.
  • Speech capabilities such as text-to-speech and speech-to-text;



Microsoft Azure is a cloud platform that hardly requires an introduction. Azure’s capabilities have advanced significantly, and the Microsoft Azure AI Platform is a popular option for AI development.

All key AI capabilities are available on the Azure AI Platform:

  • Machine learning (ML);
  • Vision capabilities like object recognition;
  • Speech capabilities like speech recognition;
  • Language capabilities like machine translation;
  • Knowledge mining.

The Azure AI Platform’s machine learning capabilities include the following toolkits:

  • Azure ML, a Python-based automated machine learning service; 
  • Azure Databricks, an Apache Spark-based big data service that integrates with Azure ML; 
  • ONNX, an open-source machine learning model format, and runtime.


Another cloud computing behemoth, Google, offers its AI platform, which you can access here. All of the chief AI capabilities are available on the Google Cloud AI Platform.


You can quickly develop and deploy your machine learning project using the Google Cloud AI Platform. This is made easier by the Google AI platform’s integrated toolchain, which speeds up development and deployment.


For developing deep learning applications, the Google Cloud AI Platform provides pre-configured Virtual Machines (VMs). This VM can be quickly provisioned on Google Cloud, and the Deep Learning VM image includes popular AI frameworks.

TensorFlow, PyTorch, sci-kit-learn, and other popular AI frameworks are already installed on Google Compute Engine instances.


Speech-to-text and text-to-speech APIs are available on the Google Cloud AI Platform.

Its speech-to-text API can assist you in converting audio to text, and it does so by utilizing neural network models and large datasets. The API for speech-to-text supports 120 languages and dialects.

You can enable voice command-and-control features in your app using its speech recognition capabilities, and the app can also transcribe audio.


Another key feature of the Google Cloud AI Platform is vision, which you can use to extract insights from your images. The Google Cloud AI Platform provides vision capabilities via REST and RPC APIs, which use pre-trained machine learning models.


IBM is a technology behemoth with advanced AI capabilities, and IBM Watson is a well-known product. IBM Watson AI solutions are already available for a variety of industries, including healthcare, oil and gas, advertising, financial services, media, and the Internet of Things (IoT).

One of IBM Watson’s main advantages is that it can be used by developers to create AI applications. It’s a pre-integrated and pre-trained AI for any cloud environment, and it’s pre-trained on flexible information architecture, as a result of which your AI application’s development and deployment will be sped up.

To help you develop AI apps faster, IBM Watson offers the following services:

  • SDKs and detailed documentation are available for developers.
  • Watson Assistant can be used to create AI-powered conversational interfaces in your app.
  • Watson Discovery is a service provided by IBM Watson. It’s an AI-powered search technology that can assist your app in retrieving data that’s been stored in silos.
  • Watson Natural Language Understanding is a feature of IBM Watson that allows it to process natural language (NLU). This is part of the IBM Watson developer platform.
  • When developing on the Watson developer platform, you can also use the IBM Watson Speech to Text capabilities.


We work with a diverse range of industries, including fashion, consumer electronics, automobiles, and cybersecurity. Our dedicated team of algorithm experts and data scientists collaborate to develop AI platforms that can be combined with modern technologies to make them competitive.

Our AI solutions enable decision-makers across departments to gain insights and knowledge, from tech start-ups to the health sector. We strive to create a functional ecosystem. We create the tools, secure the channels, and link the services together. With us on your side, scaling up will become exponentially easier.

In the last decade, artificial intelligence has grown at an exponential rate. Natural language processing, speech recognition, and image processing are just a few of the cogs in the wheel propelling technology forward. Your company’s growth will never come to a halt at SBR