The manufacturing sector is deploying artificial intelligence platform to sustain in a competitive environment as well as to enhance the quality of the products offered. AI-rich capabilities, such as ML algorithms and tools in the manufacturing sector, are used for analyzing the demand of the product, to launch a new product, minimize the cost and time required in the design process, etc. Apart from that, manufacturers are taking benefits of artificial intelligence technological platforms to increase the efficiency of production processes, quality control, predictive maintenance, as well as product innovation. Besides these applications, the manufacturing sector has started working toward the deployment of ML algorithms in production processes. Moreover, ML and predictive algorithms are being used in machine maintenance planning activity. Similarly, adaptive algorithms are playing a significant role in the analysis of correctly manufactured products and removal of defective products. The use of ML algorithms is increasing in various applications along with supply chain management, revenue estimation, demand forecasting, etc.

 

Artificial Intelligence Platform in Manufacturing

Comparing 26 vendors in Artificial Intelligence Platform across 232 criteria.
3 Experts are advising 63 Artificial Intelligence Platform buyers
Filters
Reset
21
12
20
12
11
13
20
21
17
14
14
Microsoft offers AI platform services and tools to help developers in creating AI-enabled models. Moreover, it is said to be heavily investing in services, tools, and platforms to help bring AI and data-driven intelligence into every application. Apart from that, the company launched new tools and services, such as Azure data and cloud services, to help developers in modernizing applications. Additionally, the company’s focus areas for investment include intelligent edge and intelligent cloud. It also opened the Microsoft Research AI lab, which focuses on solving hurdles in the AI space. The technologies involved in the research are ML, NLP, decision-making, and visual perception.
Read less Read more
71 Buyers Negotiating
“Group Buying Deal”
For MICROSOFT Azure AI
JOIN DEAL Request Demo
Google Cloud Platform offers cloud computing services that comprise ML, data analytics, and data storage capabilities. The platform provides features, such as secure and cost-effective infrastructure, along with data and analytics capabilities, for better product development. Moreover, Google offers the open source library, TensorFlow, to carry out numerical calculations with the help of data flow graphs. TensorFlow helps users from various industry backgrounds in using different applications, ranging from language translation to early detection of diseases. Apart from that, Google’s ML Engine enables developers to create ML models on any size of data. Additionally, its Cloud Machine Learning Engine offers managed services that negate the need for infrastructure and provide the basis for model development and prediction. It also adds portability, flexibility, and the ease of use. Additionally, Google’s Cloud Video Intelligence API is designed to concentrate on video analytics for the new audience. Furthermore, the Cloud Video Intelligence API makes the video searching process easier.
Read less Read more
79 Buyers Negotiating
“Group Buying Deal”
For GOOGLE Cloud Machine Learning Engine
JOIN DEAL Request Demo

IBM Watson suite enables organizations to combine AI into their applications, and also helps with data management in the cloud. It offers the PowerAI platform, which provides various AI capabilities. These capabilities negate the need for developing AI solutions. Moreover, the PowerAI platform provides AI-rich capabilities, such as deep learning, which allows organizations to fulfill the technological requirements. The IBM Power Systems software combined with the PowerAI platform allows enterprises to deploy PowerAI with deep learning capabilities for enhanced performance.

Read less Read more
66 Buyers Negotiating
“Group Buying Deal”
For IBM Watson
JOIN DEAL Request Demo

AWS Managed ML Platforms offers data scientists and developers a way to create models without investing in infrastructure management. Amazon ML removes the need to learn complex technologies and ML algorithms, along with visualization tools and wizards to help guide in the process of building ML models. Apache Spark on Amazon EMR is an open source distributed processing system, which focuses on big data workloads. It offers various features, such as enhancing the performance and enabling the quick development of applications, such as libraries, to help develop applications for various uses cases. Amazon Web Services also offers intelligent services to build application, such as Amazon Lex, Amazon Polly, and Amazon Rekognition. The services are used to turn text into speech, as well as, help study the images to recognize faces, objects, and scenes.

Read less Read more
89 Buyers Negotiating
“Group Buying Deal”
For AMAZON ML platform services
JOIN DEAL Request Demo

SAP Leonardo Machine Learning platform is created on SAP Cloud Platform and comprises the capabilities of ML to help organizations in finding connections and patterns in the data. It comprises services that offer the capabilities to learn from data as well as gain knowledge. Moreover, it allows taking advantage of the intelligent capabilities for developing enterprise applications and removes the need for data science skills in the process. The SAP Leonardo ML platform offers the basis to create and manage intelligent applications under a common infrastructure. Moreover, SAP offers SAP CoPilot, the virtual assistant designed to help customers. The virtual assistant analyzes the unstructured speech to offer users with relevant data.

Read less Read more
64 Buyers Negotiating
“Group Buying Deal”
For SAP Leonardo Machine Learning
JOIN DEAL Request Demo
Intel has adopted the acquisitions strategy to strengthen its Artificial Intelligence Platform platform offerings; for instance, it acquired Nervana Systems, an expert in ML capabilities. Apart from the acquisition’s strategy, the company is also said to be making capital investments to accelerate the AI innovation in companies, such as AEye, Element AI, and CognitiveScale. Moreover, the company has made investments in startups to enhance its AI platform’s technological capabilities. Apart from acquisitions and investments, the company formed a partnership with Tata Consultancy Services to build the architecture for AI, IoT, cloud, and 5G. With such strategies, Intel is trying to sustain in a competitive position in the AI platform technologies, such as deep learning, neural networks, and ML. Moreover, to enhance its product offerings, the company focuses on the upcoming Intel Nervana ASIC (Application-Specific Integrated Circuit) engine, designed to enhance the deep learning capabilities of neural networks. Moreover, the engine helps in speeding up the process of AI training.
Read less Read more
72 Buyers Negotiating
“Group Buying Deal”
For INTEL Nervana Platform
JOIN DEAL Request Demo

Salesforce Einstein suite offers data modeling, preparation, and infrastructure processes, which can be embedded into predictive models and applications to benefit from capabilities. The Einstein platform services offer the basis to create AI-driven applications by making available, the capabilities of image recognition and NLP to the users. The Marketing Cloud Einstein allows the marketers to take benefits of tools, such as Predictive Scoring, Predictive Audiences, and Automated Send-time Optimization, to analyze the target audience, contents, and channels while designing campaigns. Furthermore, the Analytics Cloud Einstein helps in the discovery of future patterns for business processes and provides insights from a large chunk of data. These platforms remove the need to build algorithms and mathematical models. Moreover, by using Service Cloud Einstein, enterprises can achieve intelligent, automated, and predictive customer engagement experience. The Community Cloud Einstein offers customers a way to find the information and offers recommendations about the contents.

Read less Read more
72 Buyers Negotiating
“Group Buying Deal”
For SALESFORCE Einstein suite
JOIN DEAL Request Demo
Qualcomm has been focusing on bringing ML and AI technologies to various industrial applications. For instance, to enhance the capabilities of the Artificial Intelligence Platform technology across various industries, such as manufacturing and finance, the company acquired Scyfer B.V., which possesses developed capabilities in ML. Qualcomm also helps bring AI-enabled applications to various industries. Qualcomm has raised a funding of USD 14 million, under Series C, for its BrainOS platform. The platform is a software built with the help of sensors and hardware, designed to offer a basis for creating autonomous robots. Apart from this, the company is working on building AI technologies in various devices, such as robots and cars, to negate the requirement of network or Wi-Fi. Additionally, the company’s consistent efforts in R&D in AI is evident from the fact that it started the Qualcomm Research in the Netherlands in 2014, as well as, acquired Euvision Technologies. Moreover, in 2016, it collaborated with Google to speed up TensorFlow, Google’s open source library. Qualcomm, with the help from the University of Amsterdam, created a research lab. Additionally, in 2017, the company announced its support for deep learning frameworks, such as Caffe2 and TensorFlow.
Read less Read more
62 Buyers Negotiating
“Group Buying Deal”
For QUALCOMM
JOIN DEAL Request Demo
The company focuses on the launch of AI-enabled platforms, which is evident from the fact that, HPE unveiled a software solution, Investigate Analytics, which comprises big data and AI technologies, designed to help the financial firms with identifying risk and fraudulent behaviors. This offering was launched at the LegalTech conference in New York City to help identify such frauds and risks by analyzing large amounts of data. Moreover, the company launched hardware, services, and software in June 2017, which were designed to deliver high-performance computing and AI technologies. These hardware, services, and software also help scientific institutes and organizations in gaining insights into large amounts of data. Additionally, these solutions focus on helping organizations with the security and cost factors. HPE partnered with BASF SE. As a part of this partnership, HPE would help BASF SE develop supercomputers. HPE’s Apollo system would assist in creating and developing the modeling and simulation approach, so that BASF SE can find new opportunities in the process of simulation and complex modeling development during its research process.
Read less Read more
60 Buyers Negotiating
“Group Buying Deal”
For HPE C3 AI Suite
JOIN DEAL Request Demo

SAS Visual Data Mining and Machine Learning offers an innovative solution that combines the most advanced analytics, data prep, visualization, model assessment and model deployment in a single environment. It also supports programming from popular open source languages. This reliable, collective environment produces desired outcomes, helping improve organizational procedures and discover new opportunities for growth.

Read less Read more
73 Buyers Negotiating
“Group Buying Deal”
For SAS
JOIN DEAL Request Demo
The company is focused on adopting the software automation platform, along with AI-based automation techniques, to increase the efficiency of its projects. Infosys’ Mana platform of AI was adopted by many its clients to achieve efficiency and automation. Moreover, the company invested in the Danish AI startup, UNSILO, which leverages NLP and ML to gain insights into numerous texts for increasing the efficiency and the speed of workers. Additionally, to help clients take advantage of the AI-based technologies, Infosys launched the AI platform, Nia.
Read less Read more
69 Buyers Negotiating
“Group Buying Deal”
For INFOSYS Nia
JOIN DEAL Request Demo
The company is focused on the innovation and development of AI platform technologies, which is evident from the fact that it partnered with Tel Aviv University’s (TAU) business engagement center, Ramot, in July 2017. The partnership focused on the research of the continuously developing AI technologies. Moreover, Wipro has made investments through the Horizon Program (intrapreneurship program) to nurture AI platform technologies in the organization. Apart from that, the company is focused on its investment in AI technologies for achieving a differentiation in IT services business. Additionally, it launched the automation service for SAP software to automate the business processes that run on SAP’s Enterprise Resource Planning (ERP) software. The automation service includes the capabilities of Wipro’s AI platform, HOLMES.
Read less Read more
62 Buyers Negotiating
“Group Buying Deal”
For WIPRO HOLMES
JOIN DEAL Request Demo

Oracle provides readymade AI cloud applications with intellectual features that drive better business outcomes. It offers a full suite of cloud services to build, deploy, and manage AI-powered solutions. It automate security patching, backups, and improve database query performance, which eliminate human error and repetitive manual tasks. so organizations can focus on higher-value activities.

Read less Read more
84 Buyers Negotiating
“Group Buying Deal”
For ORACLE
JOIN DEAL Request Demo
Ayasdi introduced its AI platform in the healthcare and financial sectors by partnering with Deloitte. Both the companies worked to increase the adoption of AI across various enterprises. Additionally, Ayasdi benefits from Deloitte’s capabilities in cognitive as well as the other emerging technologies for discovering business applications. Moreover, Ayasdi is said to be experiencing a rapid growth in its healthcare vertical, and to cater to the growing demand, the company has made additions to its healthcare staff. The addition of the staff would be useful in increasing the company’s place in key analytical challenges for its solutions, such as patient risk stratification and fraud, clinical variation, and denials management.
Read less Read more
66 Buyers Negotiating
“Group Buying Deal”
For AYASDI
JOIN DEAL Request Demo
RapidMiner provides a comprehensive solution on a integrated platform that supports the whole Machine Learning workflow from data preparation through model deployment to ongoing model management. It is quick-to-learn and simple-to-use workflow designer accelerates end-to-end data science for improved productivity.
Read less Read more
87 Buyers Negotiating
“Group Buying Deal”
For RAPIDMINER INC
JOIN DEAL Request Demo

DataRobot automated machine learning platform provides knowledge, experience, and best practices to deliver unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot allows users of all skill levels, from business people to analysts to data scientists, to build and deploy highly-accurate predictive models in a fraction of the time of traditional modeling methods.

Read less Read more
66 Buyers Negotiating
“Group Buying Deal”
For DATAROBOT INC
JOIN DEAL Request Demo

Faculty Platform allows to manage and schedule model training and execution pipelines natively, and deploy models into staging and production with one simple workflow. It use a browser or command line interface that integrates with favourite IDE and version control systems for easy interface customisation.

Read less Read more
64 Buyers Negotiating
“Group Buying Deal”
For FACULTY
JOIN DEAL Request Demo

Vital AI Development Kit (VDK) offers a suite of software to reorganize the flow of data across application architecture and integrate with analytical frameworks using the Vital Service API. The key tool is VitalSigns, which provides a consistent data model used by all software modules.

Read less Read more
74 Buyers Negotiating
“Group Buying Deal”
For VITAL AI
JOIN DEAL Request Demo

Msg.ai Artificial Intelligence respond quickly to issues that are repeatable, while enabling human agents to focus on high-impact work. It ensure a best experience to customers whenever there is a  an issue, a question or a need. It can collaborates with human agents to offer high-quality resolutions to customer queries on email, mobile, and chat.      

Read less Read more
72 Buyers Negotiating
“Group Buying Deal”
For MSGAI
JOIN DEAL Request Demo
Rainbird is an AI-powered automated decision-making platform. It goes beyond other rules engines that can only make simple decisions, and limited 'black box' machine learning that can't explain. The platform drives smarter decision-making by enabling semantic links between different Rainbird knowledge maps. It enables to 'join-up' previously siloed knowledge and deliver a more holistic and strategic system, capable of automating complex decisions.
Read less Read more
89 Buyers Negotiating
“Group Buying Deal”
For RAINBIRD TECHNOLOGIES
JOIN DEAL Request Demo

Figure eight generates high-quality customized training data and automates business process with easy-to-deploy models. It offers products and services like self-driving cars, intelligent personal assistants, medical image labeling, content categorization, customer support ticket classification, social data insight, CRM data enrichment, product categorization, and search relevance.

Read less Read more
81 Buyers Negotiating
“Group Buying Deal”
For Figure Eight
JOIN DEAL Request Demo