AI is taking the world to the next level.
Wherever you look, AI has a role to play.
Yet, more than 89% of people are not using AI.
Let me help you get into the 10% of smart people.
Here are the Top 10 No-Code AI Tools to Use in 2023: ⤵️
[ 🔖 Bookmark to check later]
Wherever you look, AI has a role to play.
Yet, more than 89% of people are not using AI.
Let me help you get into the 10% of smart people.
Here are the Top 10 No-Code AI Tools to Use in 2023: ⤵️
[ 🔖 Bookmark to check later]
1️⃣ Google Cloud AutoML: Empowering Custom Models:
Google Cloud AutoML simplifies the creation of custom machine-learning models.
Users can leverage its intuitive interface to build tailored solutions for image recognition, natural language processing, and more.
Google Cloud AutoML simplifies the creation of custom machine-learning models.
Users can leverage its intuitive interface to build tailored solutions for image recognition, natural language processing, and more.
2️⃣ IBM Watson Studio: A Collaborative AI Platform:
IBM Watson Studio offers a collaborative environment for data scientists and business professionals to collaborate on AI projects.
Its no-code interface makes it accessible for teams of various backgrounds.
IBM Watson Studio offers a collaborative environment for data scientists and business professionals to collaborate on AI projects.
Its no-code interface makes it accessible for teams of various backgrounds.
3️⃣ Microsoft Power Apps AI Builder: Integration with Ease:
This tool seamlessly integrates AI capabilities into Microsoft Power Apps.
Users can enhance their applications with features like object detection, sentiment analysis, and form processing.
This tool seamlessly integrates AI capabilities into Microsoft Power Apps.
Users can enhance their applications with features like object detection, sentiment analysis, and form processing.
4️⃣ Lobe: Visual Machine Learning Made Simple:
Lobe empowers users to create machine learning models through a visual interface.
It’s an excellent choice for developing image classification models without coding.
Lobe empowers users to create machine learning models through a visual interface.
It’s an excellent choice for developing image classification models without coding.
5️⃣ Zoho AI: Streamlined Automation:
Zoho AI brings AI-powered automation to business processes.
Its user-friendly design allows users to automate tasks, analyze data, and generate insights without complex coding.
Zoho AI brings AI-powered automation to business processes.
Its user-friendly design allows users to automate tasks, analyze data, and generate insights without complex coding.
6️⃣ Bubble: Web App Development with AI:
Bubble enables the creation of web applications with AI features.
Users can add natural language processing, predictive analytics, and recommendation systems to their apps.
Bubble enables the creation of web applications with AI features.
Users can add natural language processing, predictive analytics, and recommendation systems to their apps.
7️⃣ Outfit: AI-Powered Design and Branding:
Outfit uses AI to assist with design and branding needs.
From creating logos to generating marketing materials, this tool simplifies the creative process.
Outfit uses AI to assist with design and branding needs.
From creating logos to generating marketing materials, this tool simplifies the creative process.
8️⃣ Clarifai: Visual Recognition for All:
Clarifai’s no-code platform allows users to build and deploy custom visual recognition models.
It finds applications in industries such as retail, healthcare, and manufacturing.
Clarifai’s no-code platform allows users to build and deploy custom visual recognition models.
It finds applications in industries such as retail, healthcare, and manufacturing.
9️⃣ Runway ML: Creative AI for Artists and Designers:
Runway ML caters to artists and designers seeking to infuse AI into their projects.
It provides access to various AI models for tasks like style transfer, animation, and music composition.
Runway ML caters to artists and designers seeking to infuse AI into their projects.
It provides access to various AI models for tasks like style transfer, animation, and music composition.
🔟 Snorkel AI: Data Labeling and Weak Supervision:
Snorkel AI enables users to train models with limited labeled data using a technique known as weak supervision.
It’s a valuable tool for scenarios where obtaining a large labeled dataset is challenging.
Snorkel AI enables users to train models with limited labeled data using a technique known as weak supervision.
It’s a valuable tool for scenarios where obtaining a large labeled dataset is challenging.
That's it!
If you found this Thread useful, please:
➡ Follow me @mushfiq_sajib for more of these.
➡ RT the tweet below to share this thread with your friends/family.
If you found this Thread useful, please:
➡ Follow me @mushfiq_sajib for more of these.
➡ RT the tweet below to share this thread with your friends/family.
Loading suggestions...