Name: Scibase: Using AI to tackle skin conditions and cancer
Uploaded: 2020-06-11T10:45:43.000Z
Duration: 9 min 1 s
Description: Using AI to tackle skin cancer, asthma and eczema - Customer Story by SciBase

Customer Engagement

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IT Alert Management

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Integrated Development Environment (IDE)

Integration Platform as a Service (iPaaS)

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Relational Database Management Systems

Requirements Management

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### AI Development
Users generally praise Peltarion for its user-friendly platform that simplifies the process of creating and deploying AI models. They appreciate the intuitive interface, diverse AI models, and the ability to run multiple models simultaneously without the need for additional hardware. Despite some users mentioning a slight learning curve due to the platform's rich features, overall feedback indicates that Peltarion's AI development capabilities are robust and accessible to users with varying levels of expertise. The platform's comprehensive documentation, tutorials, and responsive customer support further enhance the user experience in building and integrating AI solutions.

### Code Integration
User sentiment regarding Peltarion's code integration capabilities is generally positive, with many users appreciating the platform's no-code approach that simplifies AI development. However, some users have noted that a basic understanding of coding is still beneficial for utilizing more advanced features effectively. The platform's integration with other tools like Bubble.io is highlighted as a valuable asset, enabling users to create models and proof of concepts without extensive coding knowledge. Additionally, the intuitive user interface and clear workflow phases make it easier for users to navigate the process of data preparation, modeling, evaluation, and deployment without significant coding requirements.

### Platform Usability
Users unanimously praise Peltarion's intuitive platform and user-friendly interface. The platform's ease of use, coupled with comprehensive tutorials and excellent customer support, has garnered high acclaim from both beginners and experienced users alike. Many users highlight the convenience of the drag-and-drop system, making it accessible even to those without coding experience. Additionally, the availability of pretrained AI models and the ability to train custom datasets effortlessly contribute to the platform's overall user-friendliness. With a strong emphasis on simplicity and accessibility, Peltarion's platform usability stands out as a key strength according to user feedback.

### Machine Learning
Users generally appreciate the ease and versatility of Peltarion's machine learning capabilities. While some users find the platform intuitive and accessible, others highlight the challenges faced with data prepping and the need for more comprehensive documentation. The no-code approach of Peltarion is praised for enabling a diverse group of users to experiment with machine learning and AI, although some users feel that the platform is more geared towards deep learning rather than traditional machine learning tasks. Despite some minor drawbacks, Peltarion's machine learning features seem to cater to a wide range of users, from novices to experienced data scientists, providing a valuable tool for rapid prototyping and experimentation in the field of ML/AI.

### Deep Learning
Users generally praise Peltarion for its deep learning capabilities. The platform seems to excel in guiding users through the process of setting up deep learning models and providing a high level of customization. Additionally, users appreciate the ease of use and the availability of a free trial for practitioners in the deep learning and computer vision fields. The team behind Peltarion is also commended for their approachability and support in assisting users with building and optimizing deep learning pipelines.

### Model Training
Users generally praise Peltarion for its user-friendly approach to building and deploying AI models. Reviewers appreciate the platform's intuitive interface, competitive pricing, and the ability to train state-of-the-art AI models with ease. While some users find the platform lacking in in-depth explanations and customization options, overall, Peltarion's model training capabilities seem to be well-received by those with varying levels of AI expertise. The platform's simplicity in constructing and modifying models, coupled with responsive support from the Peltarion team, contributes to a positive user experience in the realm of model training.

### Computer Vision
Users unanimously praise Peltarion for its robust computer vision capabilities. Reviewers highlight the platform's effectiveness in tasks such as image recognition, facial expression analysis, and emotion identification. The ease of use and the ability to train models tailored to specific needs are frequently commended. Additionally, users appreciate the educational resources provided by Peltarion, which enhance their understanding and practical application of computer vision models. The positive feedback indicates that Peltarion's computer vision functionalities are well-received and contribute significantly to users' projects and research endeavors.

### Text and Image Recognition
Users generally praise Peltarion's capabilities in text classification and image recognition. The feedback highlights the ease of building text classification models using BERT without coding and the effectiveness of image recognition programs created with Peltarion. The platform's AutoML features for structured data and image, along with its integration with other No-Code platforms, are noted as significant benefits. Additionally, users have expressed satisfaction with image recognition applications in various fields, such as dermatologic ultrasound. The overall sentiment leans towards positive, emphasizing the versatility and usefulness of Peltarion's text and image recognition functionalities.

Peltarion has been embraced by users for its versatility in a wide range of AI projects. Customers have successfully integrated AI capabilities into various applications, leveraging the platform to create proof of concepts effortlessly. The platform's ease of use has enabled users to build end-to-end machine learning apps - from model building to user interfaces - with great success. Additionally, Peltarion has played a crucial role in research projects involving vegetation analysis using multispectral satellite imagery, where AI has been essential in identifying complex patterns.

Users have also found value in Peltarion's templates for predicting article popularity, even when faced with broken templates. The platform offers a neural network builder and default configurations that allow for easy progress and customization. With Peltarion, users have the ability to have granular control over model architecture details, making it ideal for creating models for image and text classification.

Beyond its features, Peltarion has garnered praise for its exceptional support. The team has partnered with users to build additional APIs for deep learning-based computer vision problems, thereby facilitating the development of pipelines. This commitment to customer success is further exemplified by Peltarion's support in bringing business use cases to life.

The platform's versatility shines through in its application across disciplines, including being used in a master-level course with students from various fields such as social sciences. Furthermore, users have discovered Peltarion's effectiveness in specific medical use cases like image recognition in dermatologic ultrasound.

Overall, Peltarion's user experiences highlight its diverse range of use cases, from image recognition and predictions to AI integration and research projects. Users appreciate the platform's ease of use, customization options, and commitment to supporting their objectives.

Adjustment limitations: Some users have mentioned that Peltarion has limitations in terms of the settings that can be adjusted, which may restrict their ability to customize the platform according to their specific needs. For example, some reviewers have expressed frustration with the lack of flexibility in adjusting certain parameters or configurations.

Steep learning curve: Several users have found the tools difficult to use, especially for beginners, and have suggested that a course or more comprehensive onboarding resources may be necessary to fully utilize the platform effectively. They feel that there is a significant learning curve associated with understanding and navigating Peltarion's features and functionalities.

Complex web IDE: Users have reported difficulties in understanding and using Peltarion's web IDE for machine learning. This may hinder their productivity and require additional time and effort to navigate and operate effectively. Reviewers have indicated that they struggle with grasping the concepts behind the web IDE, resulting in confusion during their ML workflow.

Accessibility and User-Friendliness: Users appreciate the accessibility and user-friendliness of the Peltarion platform, making it easy to get started and learn quickly. Many reviewers have mentioned that they were able to easily navigate the platform and understand its functionalities without much difficulty.

Wide Range of Use Cases and Examples: The platform offers a wide range of use cases and examples, allowing users to explore different applications of AI and machine learning. Several reviewers have mentioned that they found these use cases helpful in understanding how to apply AI techniques in various industries.

Helpful Support from Peltarion Team: Users find the support provided by the Peltarion team to be helpful and responsive, offering assistance when needed. Many reviewers have praised the responsiveness of the support team, mentioning that their queries were promptly addressed, which enhanced their overall experience with the platform.

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The Buyer's Guide to Platform-as-a-Service Software (PaaS)

Along with software as a service (SaaS) and infrastructure as a service (IaaS), it is a service model of cloud computing. In this model, the consumer creates the software using tools and/or libraries from the provider. The consumer also controls software deployment and configuration settings. The provider provides the networks, servers, storage and other services.

Platform-as-a-Service (PaaS)

Overview of the Peltarion Platform workflow

Peltarion Platform overview

Video showing the Peltarion Platform’s amazing capabilities and how to use them. Try for free now: https://peltarion.com/signup

Learn more about building deep learning solutions

Tutorial: https://peltarion.com/knowledge-center/tutorials/bert-movie-review-sentiment-analysis
Knowledge center: https://peltarion.com/knowledge-center

Follow us on our official social media channels.

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Working with Peltarion - Customer Story by Sopra Steria

Sopra Steria: On working with Peltarion

Why work with Peltarion? Maria Wäppling, Data & Analytics Manager at Sopra Steria, on how the Peltarion Platform has been beneficial for Sopra Steria. 

Working with AI usually means working with many different tools. Whilst many experienced data scientists do master all these different tools, many companies wanting to start applying AI to their business do not. 

Maria’s key reasons for working with the Peltarion Platform: 
1. No need for a big team of experienced data scientists
2. You only need to master one tool. 
3. Quickly get up to speed. 
4. Ability to test many different AI models in parallel 

Find Peltarion here:
Website: https://bit.ly/2I2Avhu
Twitter: https://bit.ly/2RJZpnB
Linkedin: https://bit.ly/2FGWkSS

More about Sopra Steria: www.soprasteria.com

Using AI to tackle skin cancer, asthma and eczema - Customer Story by SciBase

Scibase: Using AI to tackle skin conditions and cancer

How can AI be used to tackle skin cancer, asthma, allergies and eczema? With a device called Nevisense Go. Simon Grant, CEO of medtech company Scibase explains.  

Scibase’s technology, AI-enabled by Peltarion, allows for us to provide new insights into common diseases. Giving us additional information to create better diagnosis, better management and in some cases predict diseases. 

More about the project: https://bit.ly/3oYwxqO
More about Scibase: www.scibase.com

Find Peltarion here:
Website: https://bit.ly/38a7oUh
Twitter: https://bit.ly/2RJZpnB
Linkedin: https://bit.ly/2FGWkSS

Platform-as-a-Service

Platform as a Service is the set of tools and services designed to make coding and deploying applications much more efficient

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