Welcome to my comprehensive guide on the best AI software available in the market today. Artificial Intelligence (AI) has revolutionized various industries by providing intelligent solutions and automating complex tasks. In this article, I will rank and review the top AI software products and platforms of 2025. Whether you’re looking for deep learning technology, natural language processing software, or AI development tools, I’ve got you covered.
AI software is designed to mimic human intelligence and perform tasks that typically require human intervention. Machine learning software, neural network software, and natural language processing software are just some examples. These intelligent software solutions have the potential to transform your business operations and drive innovation.
Key Takeaways:
- AI software is a game-changer across industries, providing intelligent solutions for various tasks.
- Deep learning technology, natural language processing software, and machine learning software are key components of AI software.
- The top AI software products and platforms of 2025 will be ranked and reviewed in this article.
- AI development tools play a crucial role in enabling businesses to leverage AI technology effectively.
- Stay informed about the latest trends in AI adoption to give your business a competitive edge.
What is AI Software?
AI software, also known as artificial intelligence software, refers to computer software that leverages the power of artificial intelligence (AI) to solve tasks that typically require human intelligence. This includes complex tasks such as image recognition, video analytics, voice recognition, and text recognition.
AI has become increasingly important across industries as businesses seek to automate tasks and processes for enhanced efficiency and improved productivity. By incorporating AI software into their operations, businesses can gain a competitive edge and optimize their overall business processes.
AI Software Applications:
- Machine Learning Software: AI software utilizes machine learning technology to enable computers to learn and improve from experience.
- Deep Learning Technology: AI software incorporates deep learning algorithms to analyze and process large amounts of data.
- Natural Language Processing Software: AI software employs natural language processing techniques to enable computers to understand, interpret, and generate human language.
- Neural Network Software: AI software uses neural networks, which are modeled after the human brain, to process and analyze complex patterns and relationships in data.
By harnessing the capabilities of AI software, businesses can streamline operations, automate repetitive tasks, and make data-driven decisions. The strategic integration of AI software can drive innovation, optimize resource allocation, and enhance overall business performance.
“AI software empowers businesses to leverage advanced technologies and computational power to solve complex problems, making processes more efficient and productive.”
With the rapid advancement of AI technology and the increasing availability of AI software solutions, businesses across industries have numerous opportunities to unleash the potential of artificial intelligence and stay at the forefront of innovation.
| Advantages of AI Software | Challenges of AI Software |
|---|---|
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Viso Suite AI Software Infrastructure
Viso Suite is a comprehensive computer vision application infrastructure that revolutionizes the development, deployment, scaling, and security of AI vision applications. With Viso Suite, organizations can leverage the power of computer vision to unlock new levels of automation, insights, and efficiency.
As a unified platform for all computer vision projects, Viso Suite eliminates the need to purchase and integrate multiple point solutions. This streamlines the development process and saves valuable time and resources.
Viso Suite offers a wide range of tools and features to support every stage of the AI vision application lifecycle. Whether it’s data collection, image annotation, model training, application development, deployment, configuration, or monitoring, Viso Suite has got you covered.
Key Features of Viso Suite:
- Efficient data collection
- Precise image annotation capabilities
- Powerful model training algorithms
- Flexible application development options
- Seamless deployment and configuration
- Robust monitoring and performance analytics
One of the standout features of Viso Suite is its no-code and low-code options, empowering users to rapidly develop and deploy AI vision applications without extensive programming knowledge. This makes it ideal for both innovation teams and developers looking to bring their ideas to life quickly.
Viso Suite also excels in device management, ensuring the smooth operation and integration of existing cameras and sensors. Its privacy and security features guarantee data protection and compliance with industry regulations.
Furthermore, Viso Suite offers remote monitoring capabilities, allowing organizations to keep track of their AI vision applications from anywhere. This remote monitoring ensures that the systems are running smoothly and enables proactive management and troubleshooting.
Overall, Viso Suite provides a scalable solution for organizations of all sizes looking to implement computer vision at a large scale. Its intuitive interface, extensive features, and emphasis on security make it a top choice for unleashing the power of AI in various industries.
ChatGPT Software
Have you ever interacted with a chatbot that felt like a real human? That’s exactly what ChatGPT, developed by OpenAI, aims to achieve. This large language model chatbot is trained on massive amounts of data, enabling it to engage in conversational dialogue that closely resembles human-like conversation.
ChatGPT utilizes advanced techniques such as Natural Language Processing (NLP) and Reinforcement Learning with Human Feedback to continuously enhance its conversational abilities. By incorporating these cutting-edge technologies, ChatGPT can deliver more accurate and contextually aware responses, making conversations feel more natural and engaging.
However, despite its popularity, some major companies have chosen to restrict the use of ChatGPT due to concerns about the accuracy of its responses and the potential for inadvertently sharing sensitive information. Nonetheless, OpenAI provides both free and paid versions of ChatGPT, offering additional features and customization options for users.
Take a look at the table below for a quick overview of ChatGPT’s features:
| Features | Availability |
|---|---|
| Natural Language Processing (NLP) | Available |
| Reinforcement Learning with Human Feedback | Available |
| Free Version | Available |
| Paid Version | Available |
| Customization Options | Available |
While ChatGPT continues to push the boundaries of conversational AI, it’s important to remain cautious and mindful of potential limitations and risks associated with AI chatbots. Nevertheless, ChatGPT represents a significant milestone in Natural Language Processing and demonstrates OpenAI’s commitment to creating powerful language models that can engage in meaningful and human-like conversations.
Jupyter Notebooks
Jupyter Notebooks are an essential tool for code-first users in the field of AI. These open-source software tools provide a flexible and interactive environment for writing and running computer code. Jupyter Notebooks are particularly popular among AI practitioners, as they facilitate tasks such as data exploration, prototyping algorithms, and developing machine learning models.
One of the key advantages of Jupyter Notebooks is their ability to support collaboration among data scientists. With Jupyter Notebooks, multiple users can work together in a unified environment, sharing their code, insights, and findings. This collaborative feature is especially valuable when working on complex projects that require the expertise of multiple individuals.
Furthermore, Jupyter Notebooks offer seamless integration with various tools and frameworks used in AI. Whether it’s exploring data using libraries like Pandas and NumPy, building machine learning models with scikit-learn or TensorFlow, or developing vision pipelines with computer vision frameworks, Jupyter Notebooks provide a convenient interface to work with these technologies.
Many cloud computing providers recognize the popularity and versatility of Jupyter Notebooks and have integrated them into their platforms. For example, Amazon SageMaker Notebooks and Microsoft Azure Notebook both use Jupyter Notebook as a frontend interface, allowing users to leverage the power of Jupyter Notebooks in a cloud environment. This integration enables users to take advantage of the scalable infrastructure provided by cloud computing providers while maintaining the flexibility and familiarity of Jupyter Notebooks.
Jupyter Notebooks are not only user-friendly, but they also support various programming languages, including Python, R, and Julia, making them accessible to a wide range of code-first users.
Overall, Jupyter Notebooks play a crucial role in the AI software ecosystem, empowering code-first users to explore data, prototype algorithms, and develop machine learning models collaboratively. Their flexibility, compatibility with different programming languages, and integration with cloud computing providers make them an indispensable tool for AI practitioners.
| Key Features of Jupyter Notebooks | Benefits |
|---|---|
| Interactive coding environment | Enables exploration and experimentation with code |
| Support for various programming languages | Accessible to a wide range of code-first users |
| Collaborative capabilities | Facilitates teamwork and knowledge sharing |
| Integration with cloud computing providers | Allows scalability and accessibility in a cloud environment |
| Wide range of libraries and frameworks | Enables seamless integration with AI tools and technologies |
Google Cloud AI Platform
As a leading provider in the field of artificial intelligence, Google Cloud AI Platform offers a range of cutting-edge machine learning tools designed to empower developers and scientists. This platform is equipped with pre-trained cloud APIs that streamline tasks such as computer vision, translation, natural language processing, and video analysis.
One of the key advantages of the Google Cloud AI Platform is its seamless integration with popular open-source frameworks like PyTorch, TensorFlow, and scikit-learn. This flexibility allows users to leverage their existing knowledge and resources while harnessing the power of machine learning.
However, it is important to note that Google Cloud has announced the shutdown of its IoT platform. This decision limits the platform’s capabilities for Edge AI and Edge ML, focusing instead on other areas of cloud computing. Despite this change, Google Cloud AI Platform remains a robust solution for organizations looking to leverage machine learning in their projects.
In order to facilitate accessibility and exploration, Google Cloud AI Platform offers a free trial period, providing users with the opportunity to test its features and capabilities. Additionally, the platform offers various pricing options based on usage and region, ensuring that users have flexibility and scalability in utilizing these powerful machine learning tools.
Key Features of Google Cloud AI Platform:
- Pre-trained cloud APIs for computer vision, translation, natural language processing, and video analysis
- Support for popular open-source frameworks like PyTorch, TensorFlow, and scikit-learn
- Flexible pricing options based on usage and region
- Seamless integration with other Google Cloud services
The Google Cloud AI Platform empowers developers and scientists to unleash the full potential of machine learning, driving innovation and advancing the field of artificial intelligence.
Azure Machine Learning Studio
Azure Machine Learning Studio is the perfect tool for creating and deploying robust machine learning models on the Azure Cloud. Whether you’re a seasoned data scientist or just getting started, this user-friendly platform offers integrated tools and support for popular frameworks like TensorFlow, PyTorch, Python, and R.
With Azure Machine Learning Studio, you can harness the power of cloud computing to build and train complex models, analyze data, and make predictions. The platform provides a seamless integration with existing systems, allowing you to incorporate machine learning into your existing workflows.
One of the standout features of Azure Machine Learning Studio is its emphasis on security and compliance. Your data is protected at every step, ensuring your models are built with privacy and confidentiality in mind.
As a Microsoft Azure product, Azure Machine Learning Studio offers a free trial for new users, allowing you to explore the capabilities of the platform before making a commitment. Microsoft also provides various pricing options to accommodate the specific requirements of your projects.
Explore the possibilities of Azure Machine Learning Studio and unlock the potential of machine learning in your business. Whether you’re building recommendation systems, predicting customer behavior, or analyzing vast amounts of data, this powerful tool has got you covered.
Benefits of Azure Machine Learning Studio:
- Simple and intuitive platform for users of all skill levels
- Support for popular machine learning frameworks like TensorFlow, PyTorch, Python, and R
- Seamless integration with existing systems and workflows
- Emphasis on security and compliance
- Flexible pricing options to suit your project requirements
Take your machine learning models to the next level with Azure Machine Learning Studio. Start your free trial today and see what this powerful platform can do for your business.
Comparison of popular frameworks supported by Azure Machine Learning Studio:
| Framework | Language | Popular Use Cases |
|---|---|---|
| TensorFlow | Python | Deep learning, computer vision, natural language processing |
| PyTorch | Python | Deep learning, natural language processing, reinforcement learning |
| Python | Python | Data analysis, machine learning, web development |
| R | R | Data analysis, statistical modeling, data visualization |
Infosys Nia, Salesforce Einstein, and Other AI Software
When it comes to AI software solutions, there are several notable platforms that businesses can leverage to enhance their operations. Two such platforms are Infosys Nia and Salesforce Einstein.
Infosys Nia
Infosys Nia is an AI platform that offers comprehensive capabilities to automate repetitive tasks and derive valuable insights from data. With its advanced automation features, businesses can streamline their processes, reduce manual effort, and improve overall efficiency. Additionally, Infosys Nia leverages AI technology to analyze large volumes of data, enabling organizations to make data-driven decisions with confidence.
Salesforce Einstein
Salesforce Einstein is an AI-powered analytics platform specifically designed for customer relationship management (CRM) analytics. By leveraging AI algorithms, Salesforce Einstein can provide valuable insights into customer behavior, preferences, and patterns. This enables businesses to deliver personalized experiences, optimize sales and marketing strategies, and drive customer engagement and loyalty.
Both Infosys Nia and Salesforce Einstein offer a range of capabilities, including automation, data analysis, and predictive analytics, making them essential tools for enhancing business processes and decision-making. However, it’s worth noting that numerous other AI software platforms cater to specific industries and use cases.
| AI Software | Key Features |
|---|---|
| Infosys Nia |
|
| Salesforce Einstein |
|
| Other AI Software Platforms |
|
These platforms, along with various other AI software solutions, provide organizations with the tools and capabilities to harness the power of AI and drive innovation in their respective industries.
AI Writing Software
AI writing software has revolutionized the field of content creation and copywriting. These powerful tools, including Jasper AI, Rytr, and Copy AI, utilize cutting-edge AI technology to assist writers in generating high-quality content. They leverage the capabilities of GPT-3, a state-of-the-art language model, to overcome writer’s block and enhance productivity.
With AI writing assistants, you can efficiently generate content for various purposes, including blog articles, product descriptions, social media posts, and more. These tools analyze vast amounts of data, understand context, and generate coherent and engaging text that aligns with your specific requirements.
However, it’s important to note that while AI writing software can significantly streamline the content generation process, it often requires extensive editing to ensure accuracy and consistency. As a writer, you play a crucial role in refining the output and adding your unique voice.
Let’s delve into some popular AI writing software tools and explore their features and capabilities:
Jasper AI
Jasper AI is an advanced AI writing assistant that offers a range of features to streamline your content creation process. It provides suggestions and generates text based on your input, making it easier to draft compelling narratives. With its user-friendly interface, Jasper AI allows you to collaborate seamlessly with other team members and optimize your content for various platforms and audiences.
Rytr
Rytr is another popular AI writing tool that assists writers in generating high-quality content efficiently. It offers a wide range of writing styles and tones, allowing you to cater to different audiences and writing requirements. Rytr is particularly useful for generating blog articles, social media captions, and email newsletters.
Copy AI
Copy AI is a versatile AI writing software that helps you create persuasive and engaging copy. Whether you need sales copy, landing page content, or ad copy, Copy AI provides AI-generated suggestions to enhance your writing and drive conversions. With its intuitive interface, you can easily experiment with different styles and variations to find the most effective messaging strategies.
When using AI writing software, it’s essential to ensure the accuracy and reliability of the content. While these tools provide valuable assistance, human editing and fact-checking are necessary to maintain high-quality standards. By combining your writing expertise with the capabilities of AI writing assistants, you can achieve remarkable results and create content that resonates with your target audience.
AI writing software is a powerful tool that can significantly enhance your content creation process. By leveraging the capabilities of AI technology, you can streamline your writing workflow and generate engaging and compelling content more efficiently. However, it’s important to remember that these tools are meant to assist and complement your writing skills, rather than replace them entirely.
AI Software and Automation in Business
AI software integration has revolutionized business processes, enabling the automation of repetitive tasks and improving overall productivity. By harnessing the power of AI technology, businesses can streamline their operations, optimize resources, and achieve higher levels of efficiency. This automation allows employees to shift their focus from mundane and repetitive tasks to more complex and meaningful work, contributing to enhanced job satisfaction and professional growth.
A key advantage of AI software integration is improved productivity. With AI handling data analysis and automating repetitive tasks, employees can dedicate their time and skills to strategic decision-making, innovation, and problem-solving. By leveraging AI capabilities, businesses can accomplish more in less time, leading to higher output and increased competitiveness in the market.
However, it is important to note that AI technology is not about replacing jobs but reshaping them. With automation taking care of routine tasks, employees have the opportunity to upskill and engage in more challenging and rewarding work. Ongoing training and development programs are crucial for employees to adapt to the changing landscape and acquire the necessary skills to thrive alongside AI software.
Benefits of AI Software Integration:
- Increased efficiency through task automation
- Improved productivity and output
- Enhanced employee job satisfaction
- Opportunity for upskilling and professional growth
- Optimized resource allocation and utilization
AI software integration has reshaped the job market, presenting new opportunities and challenges. While some routine tasks may become automated, the evolving landscape necessitates the development of new skills and roles, fostering a symbiotic relationship between humans and AI technology.
As AI software continues to advance, its integration into businesses across industries becomes increasingly crucial. Embracing AI technology not only increases efficiency and productivity but also creates a more dynamic and innovative work environment. By leveraging the power of AI, businesses can stay competitive in an evolving job market and drive success in the digital age.
AI Software in Industries
AI software is revolutionizing various industries, including healthcare, finance, and the automotive sector. Let’s explore how AI is reshaping these industries through predictive analytics, diagnostic accuracy, and data analysis.
AI in Healthcare
In the healthcare industry, AI systems play a crucial role in predictive analytics and diagnostic accuracy. These systems help healthcare professionals identify potential health crises and improve patient outcomes. By analyzing vast amounts of medical data, AI software can identify patterns and predict potential health conditions, enabling early intervention and personalized treatment plans.
AI in Finance
The finance industry also benefits from AI software, particularly in areas such as pattern recognition and risk management. AI-powered algorithms can analyze market trends, detect patterns, and make accurate predictions, helping financial institutions make informed investment decisions. Additionally, AI software enhances risk management by analyzing large datasets, identifying potential fraud, and ensuring regulatory compliance.
AI in the Automotive Sector
The automotive sector is leveraging AI-driven analytics in various ways. AI software enables data analysis and optimization in production lines, enhancing efficiency and quality control. Additionally, AI technology plays a crucial role in the development of self-driving car technology, enabling vehicles to make real-time decisions based on sensor data. By incorporating AI software, the automotive industry aims to enhance safety, reduce accidents, and improve overall efficiency.
| Industry | Key Applications |
|---|---|
| Healthcare | Predictive analytics, diagnostic accuracy |
| Finance | Pattern recognition, risk management |
| Automotive | Data analysis, self-driving technology |
As AI software continues to evolve, we can expect further advancements in predictive analytics, diagnostic accuracy, and data analysis across various industries. The integration of AI technology is shaping a future where efficiency and innovation go hand in hand.
AI and User Experience
AI technology has transformed the user experience, bringing forth innovations such as chatbots and virtual assistants. These intelligent systems have revolutionized customer service and daily tasks, providing personalized and efficient interactions with businesses and technology. With advancements in natural language processing, AI has made it possible to communicate with technology in a more intuitive and natural way.
The Impact of Chatbots on Customer Experience
Chatbots have become an integral part of customer service, offering instant communication and support. Users can interact with chatbots through messaging platforms, websites, or mobile applications, receiving quick responses and solutions to their queries. These AI-powered virtual agents can handle a wide range of customer inquiries, from basic FAQs to more complex troubleshooting. By automating customer service interactions, chatbots enhance response times, improve efficiency, and provide round-the-clock support.
The Rise of Virtual Assistants: Siri and Alexa
Virtual assistants like Siri and Alexa have transformed the way we interact with technology in our daily lives. These voice-activated AI companions can perform a variety of tasks, from playing music and setting reminders to providing weather updates and controlling smart home devices. Virtual assistants utilize natural language processing capabilities to understand and interpret user commands, delivering personalized experiences tailored to individual preferences. With their ability to analyze data and learn from user interactions, virtual assistants continuously adapt and improve, making daily tasks more convenient and efficient.
“Siri, what’s the weather like today?”
Enhancing Personalization with AI
AI technology enables personalized experiences by analyzing vast amounts of data and providing tailored recommendations. From e-commerce platforms offering personalized product recommendations to streaming services suggesting relevant content, personalization powered by AI enhances user satisfaction and engagement. By understanding user preferences, AI systems can deliver more personalized and relevant content, improving the overall user experience.
Advancements in Natural Language Processing
Natural language processing (NLP) plays a crucial role in AI’s ability to understand and interact with users. NLP enables AI systems to analyze and derive meaning from human language, allowing for more accurate and context-aware responses. By leveraging NLP, chatbots and virtual assistants can understand user intent, detect sentiment, and respond appropriately, creating a more conversational and human-like interaction.
AI’s impact on user experience goes beyond chatbots and virtual assistants. From intelligent recommendation systems to predictive analytics, AI technology continues to shape and enhance user interactions across various domains, providing personalized and efficient experiences.
| Benefits of AI in User Experience | Examples |
|---|---|
| Improved customer service | Chatbots providing instant support and solutions |
| Convenience and efficiency | Virtual assistants performing tasks by voice commands |
| Personalized experiences | AI-powered recommendations tailored to user preferences |
| Natural and intuitive interactions | Natural language processing enabling context-aware responses |
Conclusion
AI software has become an essential asset in today’s industries, offering innovative solutions for automation, decision-making, and driving business growth. By integrating AI technology into their processes, businesses have experienced improved efficiency, productivity, and competitiveness.
In healthcare, finance, and the automotive sector, AI has been a game-changer. It has revolutionized healthcare by enabling predictive analytics, enhancing diagnostic accuracy, and ultimately improving patient outcomes. In finance, AI software assists with pattern recognition in market trends and risk management, enabling more informed decision-making. The automotive sector benefits from AI-driven analytics, optimizing production lines and advancing self-driving car technology for increased safety and efficiency.
Furthermore, AI has transformed user experiences through the use of chatbots and virtual assistants. These intelligent systems provide personalized interactions, streamline customer service, and offer voice-activated commands. Chatbots and virtual assistants like Siri and Alexa have become integral to daily tasks, making technology more intuitive and efficient.
As the field of AI continues to evolve, staying informed about the latest trends and frequently asked questions about AI software becomes crucial for businesses seeking to stay ahead. By embracing AI technology and leveraging its capabilities, businesses can unlock new opportunities for growth, enhance customer experiences, and drive innovation in their respective industries.
FAQ
What is AI software?
AI software refers to computer software that enables the adoption of Artificial Intelligence (AI) to solve tasks that would typically require human intelligence, such as image recognition, video analytics, voice recognition, and text recognition.
How does AI software impact businesses?
By incorporating AI software into their operations, businesses can gain a competitive edge and enhance their overall business processes by automating tasks, improving cost efficiency, and increasing productivity.
What is Viso Suite and what does it offer?
Viso Suite is a comprehensive computer vision application infrastructure that allows for the development, deployment, scaling, and security of AI vision applications. It provides tools for data collection, image annotation, model training, application development, deployment, configuration, and monitoring.
What is ChatGPT and how does it work?
ChatGPT is a large language model chatbot developed by OpenAI. It is trained on massive amounts of data and can interact in conversational dialogue form, providing responses that resemble human-like conversation. It uses techniques such as Natural Language Processing (NLP) and Reinforcement Learning with Human Feedback to improve its conversational abilities.
What are Jupyter Notebooks and how are they used in AI?
Jupyter Notebooks are open-source software tools that allow code-first users to write and run computer code. They are popular among AI practitioners for tasks such as data exploration, prototyping algorithms, and developing machine learning models.
What does Google Cloud AI Platform offer?
Google Cloud AI Platform offers a range of machine learning tools for developers and scientists. It provides pre-trained cloud APIs for tasks such as computer vision, translation, natural language processing, and video analysis. It also supports popular open-source frameworks like PyTorch, TensorFlow, and scikit-learn.
What is Azure Machine Learning Studio and what features does it have?
Azure Machine Learning Studio is a powerful tool offered by Microsoft Azure that allows users to create and deploy robust machine learning models on the Azure Cloud. It supports popular frameworks like TensorFlow, PyTorch, Python, and R and provides integrated tools for data scientists.
What are some other notable AI software solutions?
Other notable AI software solutions include Infosys Nia and Salesforce Einstein. Infosys Nia is an AI platform that helps businesses automate repetitive tasks and gain insights from their data. Salesforce Einstein is an AI-powered analytics platform designed for customer relationship management (CRM) analytics.
How do AI writing software tools assist in content creation?
AI writing software tools such as Jasper AI, Rytr, and Copy AI utilize AI technology, including the powerful GPT-3 language model, to assist with writing tasks and overcome writer’s block. These tools can generate content but often require extensive editing.
What impact does AI have on business processes?
AI software has automated repetitive tasks, improving efficiency and allowing employees to focus on more meaningful work. It has reshaped job roles rather than replacing them, enabling employees to engage in more complex and meaningful work alongside AI.
In which industries is AI software being used?
AI software is being used in various industries, including healthcare, finance, and the automotive sector. It aids in predictive analytics and diagnostic accuracy in healthcare, pattern recognition and risk management in finance, and production line analytics and self-driving car development in the automotive sector.
How does AI impact user experience?
AI has significantly impacted user experience through the use of chatbots and virtual assistants. Chatbots provide instant communication between businesses and consumers, while virtual assistants like Siri and Alexa offer voice-activated commands and personalized experiences.
Why is it important to stay informed about AI software trends and FAQs?
Staying informed about the latest trends and frequently asked questions about AI software is crucial for businesses seeking to stay ahead. It helps them understand the capabilities and benefits of AI software and make informed decisions about its adoption.
Source Links
- https://viso.ai/deep-learning/ai-software/
- https://www.authorityhacker.com/best-ai-writing-software/
- https://gadgetmates.com/best-artificial-intelligence-ai-software-in-2024
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