Artificial intelligence (AI) is evolving faster than anyone expected. What was once a niche tool is quickly becoming a normalized part of business operations across most industries. However, 46% of business owners still need to figure out how AI can help them. Pragmatic approaches to artificial intelligence offer answers.
| “The best AI tools are those that are developed with purpose. Keeping purpose in mind throughout the tool’s development will enhance the outcomes that it will deliver.” – Jacob Saunders, EVP of Professional Services, Atmosera |
The Pragmatic AI approach is geared toward businesses. The idea behind it is to ensure that AI projects deliver real value and have practical use cases. If you’re part of that 46%, Pragmatic AI may help you discover how the tools are relevant to you.
This article will help you get started. We’ll explore what Pragmatic AI is, how to use it in your cloud environment, and what Microsoft Azure has to offer in this regard.
What is The Pragmatic AI Approach?
The Pragmatic AI approach employs AI technologies that deliver specific business value and have tangible real-world applications. This is in contrast to Pure AI (or General AI) which aims to create machines that have equal intellectual abilities as humans.
Pragmatic AI solutions are what most business owners are interested in, and what AI developers are more realistically capable of creating. Pragmatic AI tools are most often used to automate tasks, predict behaviors, and enhance decision-making processes.
How Can You Use Pragmatic AI & Cloud Computing?
Advanced-Data Analysis
AI-driven tools analyze the vast amounts of data hosted in the cloud to uncover actionable insights that can drive business strategy. These tools can detect patterns and trends that help businesses anticipate market changes and tailor their offerings to meet evolving customer needs.
Enhanced Cloud Security
AI enhances cloud security by continuously monitoring data traffic and user activities to identify and respond to threats in real time. Machine learning models adapt and improve based on new data, ensuring that security measures evolve to counteract emerging threats.
Personalized Customer Service
Using AI to analyze customer data stored in the cloud enables businesses to personalize interactions and services. This tailored approach increases customer engagement and satisfaction, which can potentially boost sales and loyalty.
Learn More About Using AI Models With Azure |
Augmenting DevOps Processes
AI can enhance DevOps practices by automating aspects of development, testing, deployment, and monitoring within cloud environments. AI-powered tools can help identify code anomalies, optimize testing processes, and manage deployment pipelines. This helps developers speed up release cycles and improve the reliability of software products.
Document Processing
Integrating AI in document workflows significantly reduces the processing time for various document types. Therefore, streamlining tasks like invoice processing and report generation. This is thanks to advanced algorithms that enhance accuracy in text recognition and context understanding.
Resource Management
AI helps optimize the allocation of cloud resources by analyzing current usage patterns and predicting future needs. This ensures that businesses can scale resources up or down as required in a way that maximizes cost efficiency and performance without manual intervention.
Microsoft Azure’s AI/ML & Its Pragmatic Applications
Azure has a collection of first-party cloud-based AI and ML services. They are designed to help developers build intelligent applications and analytics environments without having direct expertise in data science or artificial intelligence.
Azure AI/ML services include:
| Azure Machine Learning | Allows developers to build, train, and deploy machine learning models using Azure. It supports various machine-learning algorithms and provides tools for every stage of the machine-learning lifecycle. |
| Azure AI Services | Provides developers with pre-built AI capabilities to add AI features such as vision, speech, natural language processing (NLP), chatbots, and decision-making into their applications. These include APIs for tasks like speech recognition, text analytics, and image processing. |
| Azure OpenAI | Access and enhance your apps with the latest Large Language Models (LLMs) from OpenAI in a private, secure manner. |
Of course, you can use these tools for plenty of pragmatic AI applications.
Currently, 53,000 Azure users globally are leveraging the Azure AI suite to perform some of the following tasks (although this list is not exhaustive).
Customer Engagement
Azure AI provides tools that act as digital assistants to help guide customer interactions. These tools integrate with customer relationship management systems to provide agents with real-time insights, decision support, and recommendations based on the customer’s history.
Automated Content Generation
Azure AI utilizes natural language processing models to generate and review documents automatically. These AI-driven systems can draft standard documents, policy summaries, and compliance reports by extracting key information from structured and unstructured data.
Predictive Analytics
Azure AI employs machine learning models for predictive maintenance in manufacturing. These models analyze historical data from machinery sensors and operational logs to predict potential failures and maintenance needs. This approach to maintenance has been found to reduce costs by 8% to 12% compared to traditional preventative maintenance.
Fraud Detection in Financial Transactions
Azure uses advanced algorithms to monitor, analyze, and flag unusual transaction patterns that could indicate fraudulent activities. AI systems learn from a vast amount of transaction data to identify anomalies and risk factors associated with possible fraud.
Streamlining HR Operations
Azure AI can automate resume screening by using AI to parse and analyze resumes against job descriptions, highlighting the best candidates based on qualifications and past experiences. This speeds up the recruitment process and may improve the quality of candidate selection.
Leverage Azure’s Advanced AI Tools Pragmatically
There’s a lot more that you can do with Azure AI that we haven’t mentioned in this article. Additionally, AI specialists are constantly coming up with new, innovative ways to use AI to drive valuable results.
If you’re not sure how your business can use Pragmatic AI to enhance operations, you can ask Atmosera’s AI experts. We provide end-to-end Azure AI services, so you can leverage complex AI tools without needing in-house expertise. Learn more about our AI solutions.