Artificial intelligence has a lot of support. Companies have successfully built proofs-of-concept and have even deployed AI in production across sectors. Some businesses have even put their AI and machine learning strategies into action, with projects across the organisation and best practises and pipelines in place. Firms at the vanguard of the AI maturity curve are increasingly using AI at scale.
This general maturing of AI deployment in businesses is changing how businesses see AI’s strategic value — and where they expect to see its advantages realised. Here are top 10 Applications of AI that industry experts are seeing emerge right now.
TensorFlow (TF) is an open-source end-to-end numerical computing and machine learning framework written in Python that enables developers to create large-scale multi-layered neural network-based models. It is also one of the most widely used artificial intelligence applications. As a result, several enterprise-grade platforms employ TensorFlow and add extra features to make deployment and interaction with third-party systems easier.
You can easily design and deploy AI-based apps in the cloud, on-premise, on iOS and Android devices, or in a browser using the platform. It may be used for image identification, video detection, time series analysis, speech recognition, and other activities.
This AI software library is open source and has a large community behind it. Although it has a high learning curve, it is ideal for both beginners and professionals.
Google Cloud AI Platform
With Google Cloud AI, you have a selection of machine learning tools. It is a popular platform for scientists and engineers for firms who choose to create their platform on the Google Cloud. Google Cloud’s AI software tools enable developers to work on machine learning projects in a time- and cost-effective manner.
To construct ML applications relating to computer vision, translation, natural language, video, and other topics, you may use a variety of pre-trained cloud APIs. PyTorch, TensorFlow, and sci-kit-learn are just a few of the open-source frameworks that Google Cloud supports.
All new users get a free trial, after which they must pay an hourly charge that varies depending on the location and operation they pick.
Content DNA Platform
Content DNA is a video content analysis software platform powered by artificial intelligence. The product is used by broadcasters and telecom companies to perform a variety of video-related tasks, such as scene recognition, anomaly detection, and metadata enrichment. Even if you are not a specialised professional, the platform is simple to learn and use.
For a limited time, you may use all of the capabilities of this AI programme for free (up to 100 hours of processing). If you want limitless access, you must pay a one-time setup cost that supports maintenance and cloud infrastructure. Individual quotes are required for pricing.
Businesses and organisations may use the IBM Watson platform to automate complicated machine learning processes, anticipate future outcomes, and save time for their personnel. To make sense of data, recognise patterns, and make predictions, IBM offers a comprehensive AI portfolio with pre-trained models or the opportunity to build a bespoke machine learning model.
You may get started with a free demo of the platform, which offers you limited access to its features. The professional edition costs $80 per month per user ($960 per year). A tailored quotation is required for the precise price.
Azure Machine Learning Studio
With the Azure Machine Learning Studio, you can simply construct and deploy sophisticated machine learning models to the Azure Cloud using a variety of tools. TensorFlow, PyTorch, Python, R, and others are among the open-source frameworks and languages it supports. The Microsoft AI software platform is appropriate for a wide variety of users, including developers and scientists, with varying skill levels. If you decide to stick with Microsoft Azure, the ML studio is a good place to start.
To use the platform’s features, you must first establish a free account. While some services are initially free, others need a subscription-based account upgrade.
Infosys Nia is an AI software platform that helps organisations and enterprises simplify the AI deployment process. It may be used for a variety of tasks including machine learning, deep learning, data management, natural language processing, and so on.
By automating repetitive processes and scheduled obligations, Infosys Nia allows businesses to harness AI on current large data. This helps businesses to be more productive, and people to be more efficient in their job.
Pricing is available upon request, and there is no free trial period.
Salesforce Einstein is a CRM (Customer Relationship Management) analytics AI platform that allows enterprises to create AI-powered apps for their customers or workers. It enables you to create machine learning, natural language processing, and computer vision prediction models. This tool does not need model management or data preparation.
Depending on the company’s needs, many price options are beginning at $25 per user each month. The official website provides price information. It also offers all new customers a free trial.
Chorus.ai is a conversations intelligence platform tailored to high-growth sales teams. It allows you to record, organise, and transcribe your calls in real-time, as well as highlight essential action items and subjects during the call.
By evaluating your data, our AI programme helps you to acquire extremely important insights. It enables sales teams to streamline and manage their communication processes, as well as to conduct error-free follow-ups. Call recording, sales coaching, and sales management are just a few of the services available.
There are no publicly available pricing data; pricing is personalised upon request.
Observe.AI is a real-time call analysis tool that allows organisations to transcribe conversations and apply automatic speech recognition to improve performance. It is meek to use and currently chains both English and Spanish.
It helps companies and organisations to effectively evaluate calls utilising cutting-edge speech and natural language processing technology.
To learn more about the platform, you may book a demo with an Observe.AI solution architect. By contacting the team directly, you may obtain pricing information. There is no free trial available.
Visco Suite Platform for AI Vision
Viso Suite is a ground-breaking, no-code computer vision platform that enables enterprises to create, implement, and monitor real-time computer vision applications. The low-code/no-code platform includes a comprehensive collection of corporate AI tools and infrastructure for managing enterprise computer vision application lifecycles. Examine the case studies and industry-leading solutions. 00:00 \s00:25
Global leaders in a variety of sectors utilise Viso Suite to create and manage specialised AI vision solutions that are far quicker, more versatile and need no coding. With a modular “create once – deploy anywhere” strategy and visual programming, the Edge AI platform can integrate any computer device and camera (without coding) to extend AI vision systems across locations.
Avoid writing difficult-to-maintain code from the ground up. You may instead utilise the extensible no-code editor to bring scalable deep learning products to market 10 times quicker. Save money by not having to acquire and maintain separate software tools since they are already integrated.
A workplace with multiple users and video streams costs $795 per month, including all tools and infrastructure, or $5,000 per month for numerous apps and a tailored business plan.
You can request a demo and trial access to the platform’s capabilities to evaluate Viso Suite for your company.
Please contact us if you want to construct computer vision and know more about the latest artificial intelligence trends in 2022. We are delighted to give you more information to assist you in your search for the right AI software or platform for your application.