Business Solutions

EazyML is a no-code machine learning platform that helps businesses build and deploy machine learning models without any coding experience. The platform provides a drag-and-drop interface that makes it easy to build models, even for beginners.

EazyML offers a variety of features, including:

• Automated data preparation: EazyML can automatically prepare your data for machine learning, so you don't have to worry about cleaning or formatting it.
• Model selection: EazyML can help you select the best machine learning model for your data, based on a variety of criteria.
• Model training: EazyML can train your machine learning model on your data, and it can also tune the hyperparameters of the model to improve its performance.
• Model deployment: EazyML can deploy your machine learning model to production, so you can use it to make predictions on new data.
• Explainable AI: EazyML can explain the predictions of your machine learning model, so you can understand why the model made the decision it did.

EazyML is a great option for businesses that want to build and deploy machine learning models without any coding experience. The platform is easy to use and it offers a variety of features that can help you build accurate and reliable models.

Here are some of the use cases for EazyML:

• Fraud detection: EazyML can be used to build models that can detect fraudulent transactions.
• Customer segmentation: EazyML can be used to segment customers into different groups based on their characteristics.
• Product recommendations: EazyML can be used to recommend products to customers based on their past purchases.
• Risk assessment: EazyML can be used to assess the risk of a loan or investment.
• Demand forecasting: EazyML can be used to forecast demand for products or services.

EazyML is a versatile platform that can be used for a variety of tasks. If you are looking for a way to build and deploy machine learning models without any coding experience, EazyML is a great option.

• Build machine learning models: Protopia AI offers different tools and features to help you build machine learning models. These include preparing data, engineering features, and training models.
• Deploy machine learning models: Protopia AI offers tools and features for deploying machine learning models. This includes model serving and model monitoring.
• Manage machine learning models: These include version control, which allows you to keep track of different versions of your models, and model lineage, which helps you understand the history and relationships of your models.

• Data preparation: Protopia AI uses artificial intelligence to assist businesses in getting their data ready for machine learning. This can involve tasks like cleaning data, normalizing data, and augmenting data.
• Feature engineering: Feature engineering is a process where Protopia AI uses artificial intelligence to assist businesses in creating useful characteristics for their machine learning models. This can involve tasks like choosing features, extracting features, and transforming features.
• Model training: Protopia AI uses artificial intelligence to assist businesses in training their machine learning models. This can involve tasks like choosing a model, adjusting settings, and assessing the model's performance.
• Model serving: Protopia AI utilizes artificial intelligence to assist businesses in implementing their machine learning models. This can involve tasks like hosting models, storing models in cache, and balancing the load of models.
• Model monitoring: Model monitoring is a process where Protopia AI uses artificial intelligence to assist businesses in keeping track of their machine learning models. This can involve tasks like detecting changes in the model, monitoring how well the model is performing, and understanding how the model works.

Tattle is a feedback management platform for restaurants that uses AI to help businesses improve their guest experience. The platform collects feedback from guests, analyzes it using machine learning, and provides businesses with insights into what they can do to improve.

Tattle's AI can do the following:

• Identify high-impact opportunities for improvement.
• Predict how likely each action will increase revenue and satisfaction.
• Prioritize feedback so businesses can focus on the most important issues.
• Link feedback to detailed reviews for more context.

Tattle is used by over 10,000 restaurants worldwide, including some of the biggest chains in the world. The platform has been praised by industry experts for its ability to help businesses improve their guest experience.

Here are some of the benefits of using Tattle AI:

• Improved guest experience: Tattle can help businesses identify and address issues that are affecting guest satisfaction.
• Increased revenue: Tattle can help businesses increase revenue by improving the guest experience.
• Reduced costs: Tattle can help businesses reduce costs by identifying areas where they can improve efficiency.
• Increased customer loyalty: Tattle can help businesses increase customer loyalty by providing a positive and memorable guest experience.

If you are a restaurant owner or manager, Tattle AI is a great way to improve your guest experience and grow your business.

Here are some of the customers of Tattle:

• McDonald's
• Starbucks
• Chipotle
• Taco Bell
• Wendy's
• Panera Bread
• Domino's Pizza
• Subway
• Dunkin' Donuts
• KFC
• Burger King

If you are interested in learning more about Tattle AI, you can visit their website at www.get.tattleapp.com.

I hope this helps! Let me know if you have any other questions.

• Build machine learning models: DataRobot helps you build machine learning models using different tools and features. These include automated feature engineering, model selection, and hyperparameter tuning.
• Deploy machine learning models: DataRobot helps you use machine learning models easily with tools like model monitoring and explainability.
• Manage machine learning models: DataRobot helps you handle machine learning models by offering different tools and features. These include version control and model lineage.

• Automated feature engineering: Automated feature engineering is when DataRobot uses AI to transform raw data into features that can be used to train machine learning models. This can help businesses save time and effort, and it can make machine learning models more accurate.
• Model selection: DataRobot uses artificial intelligence (AI) to choose the most suitable machine learning models for a specific job. To make it easier to understand, you can do this by thinking about different things like how big and complicated the information is, how precise you want it to be, and what resources you have.
• Hyperparameter tuning: DataRobot uses artificial intelligence to adjust the settings of machine learning models. This can make machine learning models more accurate and efficient.
• Model monitoring: Model monitoring is a process where DataRobot uses artificial intelligence (AI) to keep an eye on machine learning models. The purpose is to make sure that the models are performing well and giving accurate results. This can assist businesses in spotting issues with machine learning models at an early stage, and it can ensure that machine learning models are functioning as anticipated.
• Model explainability: Model explainability is the process of understanding how machine learning models make predictions. DataRobot utilizes artificial intelligence (AI) to provide explanations for these predictions. This can help businesses understand why machine learning models make certain predictions, and it can help businesses trust the results of machine learning models.

Intellimize is an AI-powered website optimization platform that helps businesses increase conversions. The platform uses machine learning to personalize website experiences for each visitor, even on first page view. Intellimize offers a variety of features, including:

• AI Optimize: This feature uses machine learning to show each visitor the version of your website that is most likely to convert them.
• AI Content Studio: This feature helps you create high-converting content for your website, landing pages, and social media.
• AI Playbook: This feature provides you with a library of proven conversion optimization strategies.
• AI Insights: This feature gives you insights into your website traffic and conversions so you can make informed decisions about your optimization efforts.

Intellimize is a cloud-based platform that is easy to use and does not require any coding knowledge. It is used by a variety of businesses, including e-commerce sites, SaaS companies, and lead generation businesses.

Here are some of the benefits of using Intellimize AI:

• Increased conversions: Intellimize can help you increase conversions by up to 30%.
• Improved personalization: Intellimize can personalize your website experiences for each visitor, which can lead to higher conversions.
• Reduced costs: Intellimize can help you reduce the costs of your website optimization efforts.
• Increased ROI: Intellimize can help you increase the ROI of your marketing campaigns.

If you are looking for an AI-powered website optimization platform to help you increase conversions, Intellimize is a great option. It is easy to use, effective, and affordable.

Here are some of the customers of Intellimize:

• HubSpot
• Salesforce
• Adobe
• Oracle
• Microsoft
• Nike
• Coca-Cola
• IBM
• Target
• Airbnb
• Spotify

If you are interested in learning more about Intellimize AI, you can visit their website at www.intellimize.com.

• Pega Platform: This platform helps you create and launch applications that use artificial intelligence. It brings together all the tools you need in one place. It has different tools for combining data, automating tasks, and making decisions.
• Pega Customer Decision Hub: Pega Customer Decision Hub is a tool that helps you create and use applications that make decisions for customers using artificial intelligence. It has different tools for dividing customers into groups, giving them scores, and making things more personal.
• Pega Workforce Intelligence: This is a tool that helps you create and use applications that use AI to improve how your workforce operates. It has different tools for planning, scheduling, and managing performance in the workforce.

• Customer service: Pega's tools, powered by AI, can assist businesses in improving customer service. These tools automate tasks, personalise interactions, and predict customer needs.
• Sales: Pega has tools that use AI to help businesses close more deals. These tools can find potential customers, determine if they are a good fit, and suggest products and services.
• Marketing: Pega has tools that use AI to help businesses connect with more customers and boost sales. These tools make marketing campaigns more personalised, target ads effectively, and track the outcomes.
• Operations: Pega's tools with AI can make businesses better by automating tasks, making processes more efficient, and saving money.
• Risk management: Pega's tools that use artificial intelligence can assist businesses in reducing risk. They do this by finding and evaluating risks, creating plans to minimise them, and keeping track of the outcomes.