Artificial Intelligence as a Service

In the recent world, the IT industry evolves mostly with buzzing tech words like Artificial Intelligence, Data Analytics, and Machine Learning being in limelight, there seems to be nothing impossible from the ground to space.

Artificial Intelligence(AI) is no more a topic to be just being discussed beyond its expensive Infrastructure and consumption costs. The Big companies in the industry have kick-started their R&D a few years back investing a huge sum of money for setting up the required AI infrastructure. Small and Mid-level companies though with a steer passion to have a strong presence into AI space found it difficult because of the expensive infrastructure.

Artificial Intelligence as a Service (AIaaS) is relatively new and its emergence has helped all the companies specifically the Mid-cap and Small caps in the IT industry to explore and innovate their vision of AI with effective cost and stable infrastructure to buck up their game to implement AI solutions to the clients and to have a futuristic plan for strategic initiatives. It’s a win-win situation for all!

Power of AIaaS:

AIaaS is an effective solution to build, test, and implement its artificial intelligence systems from scratch. This platform helps the companies to focus on their core business and obtain value addition from Artificial Intelligence and Data analytics to understand the target audience and to create better automation products according to market demand. The companies get increasing profits while decreasing their risk of investment using AIaaS to showcase their expertise in performing Text/Image/Video analysis and also to create accurate forecasting models.

In recent years, the performance of AI algorithms has increased rapidly and the application areas of AI has been widened without the need for Data scientist assisting the process from scratch resulting in effective data-driven decisions. Proof of concepts(POC) is typically developed to compare and enhance performance across algorithms resulting in the best outputs.

Vendors of AIaaS:

Evolution of Cloud and its shared services like SaaS, PaaS, and IaaS has also opened up Artificial Intelligence to be consumed “as a Service” via AIaaS by the below global vendors to increase profits in the core business world:

1. Amazon Web Service

Amazon provides predefined services for AI and Machine Learning platforms(Amazon Sagemaker).

2. Microsoft Azure

Azure Databricks, Azure Data Lake, Azure Cognitive Search, and Azure Machine Learning are the services provided by Microsoft with AI capabilities

3. Google Cloud Platform

AI Hub and Cloud AutoML are the key services to add technology platforms for Vision analysis, Speech recognition and Natural Language Processing(NLP)

4. IBM Watson Cloud

Few pre-built Watson applications offered include Watson Assistant, Watson Speech to Text, Watson Natural Language Understanding, etc.

Classic Product Outcomes:

AIaaS — The Next Big Tech, so far has many trending product outcomes as listed below:

• Augmented Reality(AR)
• Google Glass
• Driverless Cars
• Drones
• Hyperloops
• Google Translate

Pros and Cons:

Like any other technology, AIaaS has Pros and Cons similar to other shared services, and efforts are in place to make the best of it with ease.

Authors: Ashwin.B and Saravanakumar.T
Stream: DotNet