Artificial intelligence (AI) is slowly being used in most parts of everyday life. Manufacturing AI Platforms is both a powerful force for positive change and a way to get ahead of the competition. And as the digital world continues to change and speed up after COVID-19, manufacturers will need to realize how important AI is to their business.
Here are the 10 Best Manufacturing AI Platforms;
“AI can be your friend.” With the help of augmented intelligence, Wipro Holmes helps organizations change how they run. Wipro Holmes offers AI-powered, customizable solutions and trusted augmented intelligence to rethink processes, speed up growth, and be at the forefront of transformation. Wipro Holmes lets users build and deploy in environments that are fast, scalable, and trustworthy. This helps them make smarter decisions that focus on people for Manufacturing AI Platforms.
The top three things: data-driven, responsible, and working at the same time as businesses
2. Google Cloud
Google Cloud Vertex AI allows businesses to build, deploy, and scale machine learning (ML) models more quickly, using pre-trained and custom tools on a single platform. Vertex AI’s key features include a unified user interface for the whole ML workflow, pre-trained APIs, end-to-end integration for data and AI, support for open-source frameworks, the ability to understand and build trust in your model predictions, and many more.
The top three things: train without code, build advanced ML models with custom tools and manage models with confidence.
Infosys offers end-to-end enterprise-grade AI to make it easier for businesses and IT to adopt AI. It handles a wide range of operations, such as data management, digitizing documents and images, model development, and putting models into action in Manufacturing AI Platforms.
86% of enterprises can’t move from AI experimentation to production, 68% of them can’t get insights from documents, and 40% of them can’t manage their siloed data assets. Infosys Nia can help with these problems to speed up the time-to-value for AI implementation.
Salesforce Einstein helps companies automate everything and make everything work together. Einstein has AI-powered bots and workflows with multi-user processes, as well as integrated data for a seamless experience, automated integrations to boost productivity, smart automation that is digital-first and industry-specific, and pre-built, ready-to-install partner solutions, such as templates, robotic process automation (RPAs), and building blocks for flow automation so that you don’t have to start from scratch.
Productivity, click-based configuration (no code), and a smooth experience are the top three features in Manufacturing AI Platforms.
HPE’s flexible AI solutions can help you find value in your data. HPE AI gives businesses data that can be accessed from anywhere and an IT infrastructure that is flexible and not tied down. HPE AI is based on data, is geared toward production, and works in the cloud, so it can be used anytime, anywhere, and at scale. Oracle’s skills can be broken down into three main areas:
Operationalize, optimize, and coordinate AI Speed up the creation and implementation of an AI strategy
Take care of costs, risks, and profits in Manufacturing AI Platforms.
Scalability cost control, and being flexible are the top three features.
Oracle AI, build an intelligent enterprise. Oracle helps businesses automate their operations, come up with new ideas, and make smart, secure decisions by providing pre-built AI, data-driven cloud applications, and a wide range of infrastructure and cloud platform services & Manufacturing AI Platforms.
Oracle has five products: Oracle AI Apps, Oracle Data Science Platform, embedded machine learning in Oracle Cloud, Oracle Digital Assistant, and Oracle DataFox.
The top three things: choice of data management platforms that are all-inclusive and use the software as a service (SaaS)
7. The company Microsoft
Microsoft Azure AI gives AI to every developer and helps businesses innovate and grow by giving them powerful tools and services.
Microsoft’s AI services include computer vision, which can pull rich information from images to process and organize visual data, language understanding, which can read human language and figure out what it means, and text analytics API, which can figure out how someone is feeling from what they say.
Top three features: high quality, flexibility, and adaptability decision-making based on a lot of information in Manufacturing AI Platforms.
IBM’s platform has a set of business-ready tools, apps, and solutions that help users lower the costs and barriers of adopting AI while improving results and being responsible. IBM Watson divides its features into four groups, which are:
Trust – AI processes that are open and honest With an open and diverse ecosystem, the leader in insights, data privacy, and compliance.
Language: Using natural language processing and analyzing complex, unstructured data, computer code, and industry-specific jargon to understand how a business talks.
Automation makes it easier for a business to run, which leads to big jumps in productivity. Using smart automation, you can do almost any work.
Anywhere—working safely in the cloud to bring AI wherever data is helpful for Manufacturing AI Platforms.
Transparency, optimizing, and cutting costs are the top three features.
Intel has a long history of making technology more accessible to everyone. Today, it is making technology easier to use, faster, and cheaper. Intel wants everyone to be able to use AI in their apps by giving them a wide range of smart solutions and tools. Intel uses the open and scalable oneAPI standards to give its users from the edge to the cloud access to a wide range of information.
Intel’s AI services are broken up into solutions, software, and hardware. AI Builder helps organizations get started, while Intel Optimised AI Software helps them build faster and smarter, and Intel AI Hardware speeds up flexible AI.
Amazon’s pre-trained AWS AI Services make it easy for users to add intelligence to applications and workflows right away for Manufacturing AI Platforms.
The AI services offered by Amazon don’t need machine learning to work. Instead, Amazon uses the deep learning technology that runs Amazon.com to do things like make personalized recommendations, update contact centers, make safety and security better, and get customers more involved.
Amazon has a total of 19 AI services and 12 solutions. These include demand forecasting, chatbots, advanced text analytics, fraud prevention, and personalized recommendations.
“Every month, GE Appliances handles millions of customer calls that last millions of minutes”. Using Amazon Connect, Amazon Lex, and Amazon Polly, we can automate simple tasks like looking up product information, taking down customer information, and answering common questions before an agent answers Manufacturing AI Platforms. – Byron Guernsey, Chief Strategist, GE Appliances Top three features: quality, accuracy, and constantly learning API.