“AI-enabled tools will generate $2.9 trillion in business value by 2021.” - Gartner

You can use no-code platforms without coding and technology skills. Business users can use the no-code platforms for different use cases. AI is prevalent in daily life. You can develop applications easily and deploy them. Recommendation engines and classification algorithms can be used in no-code platform-based applications. In autonomous driving, robotics, medicine, and aerial photography, no-code platforms are becoming popular. Gartner predicts that 65 percent of apps will be developed using no-code platforms. You can use drag and drop for workflow design and use machine learning algorithms. You can develop models and train them for different use cases like image analysis, text analysis, and statistical analysis. Pre-trained models can be used on the platform. This platform can be used for predictive analytics.

Typical No Code AI/ML Platform will have features like drag and drop, data source connectivity, social media analysis, analytics, and content analysis.No code AI/ML platform can be built using python and streamlit, which helps in images analysis. The analytical data in the no-code AI/ML platform is imported, validated, cleansed, trained, and testing of the model. New scenarios come in due to unseen data and the model is refined for predictive analytics.

NLP-based analysis can be performed. Different open-source machine learning models can be supported with different inbuilt datasets. Dashboards can be created based on the input data. REST support for the platform API helps in easy integration with different apps. Content types supported are audio, video, image, text, and other file formats. Models to support image classification, audio analysis, body movements are inbuilt in the platform through model support. Forward-looking predictive models are created. Semantic segmentation, object detection, motion capture, and other computer vision models are supported in the platform. Annotation tools are part of the AI/ML platform. Multiple models can be executed on the input data and analysis can be done on different models. Data can be edited and what-if analysis can be performed. Model precision analysis can be done through ROC curves and confusion matrices.

Workflow is another important feature in the No code AI/ML platform

Following are the benefits of the No Code AI/ML Platform :

1. High demand for developers because companies lack the technical talent
2. This platform can help improve internal operations and reduce costs
3. It makes complex tasks a lot easier and streamlines business processes
4. You can develop applications without prior knowledge of programming languages
5. You can detect the errors in the data and automatically rectify them, resulting in time savings and accurate models.

 

The use cases for the platform are :

• analyze text messages
• classify shipping documents
• categorize social media pictures
• categorize Instagram pictures
• check onboarding documents
• categorize startups by description
• filter startup databases for investment decisions
• categorizing emails
• tracking keyword engagement
• social listening
• categorizing app crash reports using NLP
• moderate user-generated content
• insurance claims identification
• quality inspection
• auto-tagging real estate images,
• tagging email attachments
• categorizing support tickets
• analyze text responses of surveys
• track social sentiments
• categorizing SMS responses
• recognize shipping documents

 

No Code AI/ML Platform has the following features :

• Data Visualization
• Data Analysis
• Machine Learning Algorithms
• Image Analysis
• NLP & NLU
• WebRTC API
• Drawing API
• Grids for tables

 

 

Common general types of data visualization are :

1. Charts
2. Tables
3. Graphs
4. Maps
5. Infographics
6. Dashboards

 

 

More specific examples of methods to visualize data are :

• Area Chart
• Bar Chart
• Box-and-whisker Plots
• Bubble Cloud
• Bullet Graph
• Cartogram
• Circle View
• Dot Distribution Map
• Gantt Chart
• Heat Map
• Highlight Table
• Histogram
• Matrix
• Network
• Polar Area
• Radial Tree
• Scatter Plot
• Streamgraph
• Text Tables
• Timeline
• Treemap
• Wedge Stack Graph
• Word Cloud
• Any mix-and-match combination in a dashboard

Major Machine Learning Algorithms which are in the no-code AI/ML platform :

1. Classification
   • Linear Regression
   • k-Nearest Neighbors
   • Decision Trees
   • Random Forest
   • Support Vector Machine
   • Naive Bayes

2. Clustering

• K-means
• DBSCAN
• OPTICS
• BIRCH

3. Anomaly Detection

• LOF
• iForest
• kNN

4. Dimensionality Reduction

• PCA
• t-SNE

 

 

Image Processing models which are part of the no-code AI/ML platform listed below :

• Support vectors
• Random forest
• Perceptron
• K-nearest neighbors
• Decision tree

According to Deloitte, AI Technologies and applications are high-cost projects for development and deployment. AI skills and competent resources will be doubled in the next two years. This would not suffice for the need in the next two years. No code AI/ML platform helps in designing and developing applications easily. Custom models can be designed, developed, and deployed for training.

Data Annotation tools help in data generation for enterprise applications. Machine learning algorithms can be used with data annotation software. No code AI/Ml platform can cut down the design and development time by 90 percent.