Intelligent applications represent the next evolution of software applications for businesses, leveraging advanced technologies such as artificial intelligence $($AI$),$ machine learning $($ML$),$ natural language processing $($NLP$),$ and data analytics to provide enhanced capabilities and insights. Here are some examples of products, vendors, or companies that utilize intelligent application technology:

$1.$ Salesforce Einstein:

$-$ Product: Salesforce Einstein is an AI$-$powered platform integrated into Salesforce's CRM software.

$-$ Vendor: Salesforce, a leading customer relationship management $($CRM$)$ software company.

Explanation:

$-$ Description: Salesforce Einstein uses AI and ML algorithms to analyze customer data, predict customer behavior, automate tasks, and provide personalized recommendations. It helps businesses improve sales forecasting, customer service, marketing campaigns, and lead generation.

Step $2$

$2.$ IBM Watson:

$-$ Product: IBM Watson is a cognitive computing platform that offers various AI$-$powered services and tools.

$-$ Vendor: IBM, a multinational technology company.

$-$ Description: IBM Watson provides a range of intelligent applications across different industries, including healthcare, finance, retail, and education. For example, Watson Health offers AI$-$powered solutions for medical diagnosis, treatment recommendations, and drug discovery, while Watson Assistant provides virtual assistants for customer support and business operations.

$3.$ Google Cloud AI Platform:

$-$ Product: Google Cloud AI Platform is a suite of AI and ML services hosted on Google Cloud Platform.

$-$ Vendor: Google, a multinational technology company.

Explanation:

$-$ Description: Google Cloud AI Platform offers a range of intelligent applications, including AI$-$driven data analytics, predictive modeling, image recognition, and natural language processing. Companies use these tools to extract insights from large datasets, automate decision$-$making processes, and improve operational efficiency.

Step $3$

$4.$ Amazon Web Services $($AWS$)$ AI Services:

$-$ Product: AWS AI Services is a collection of AI$-$powered services provided by Amazon Web Services.

$-$ Vendor: Amazon Web Services, a subsidiary of Amazon specializing in cloud computing services.

$-$ Description: AWS AI Services include solutions such as Amazon SageMaker for building and deploying ML models, Amazon Rekognition for image and video analysis, Amazon Comprehend for NLP tasks, and Amazon Lex for building conversational interfaces. These services enable businesses to develop intelligent applications for various use cases, including content moderation, sentiment analysis, and virtual assistants.

$5.$ Microsoft Azure Cognitive Services:

$-$ Product: Microsoft Azure Cognitive Services is a set of AI$-$powered APIs and tools available on the Microsoft Azure cloud platform.

$-$ Vendor: Microsoft, a multinational technology company.

Explanation:

$-$ Description: Azure Cognitive Services offers a range of intelligent capabilities, including computer vision, speech recognition, language understanding, and anomaly detection. Developers and businesses can integrate these services into their applications to add features such as image recognition, speech$-$to$-$text conversion, language translation, and personalized recommendations.

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