Solutions

Artificial Intelligence and Machine Learning Solutions

Artificial intelligence (AI) and machine learning (ML) are revolutionizing business. If you don’t start adopting them today, you may get left behind tomorrow. But do you have the infrastructure and talent in place to support these technologies?

Integrating AI and ML into your business means creating an enterprise infrastructure that can power them. By taking this step now, you’ll be better positioned to unlock new opportunities, make smarter decisions, and stay in front of the competition. 

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Modernize with AI and ML for increased innovation, decision-making, and customer service.

Let’s work together to eliminate common roadblocks, organize your data, and ensure you have an AI and ML technology solution that can take your business to the next level.

Artificial Intelligence & Machine Learning
Solution

Artificial Intelligence & Machine Learning

Successfully adopt artificial intelligence to unlock insights, discover new revenue streams, and make smarter decisions.
Accelerated AI/ML adoption

Accelerated AI/ML adoption

Successfully adopt AI/ML capabilities in the cloud or on-premises with a ready-to-use solutions tailored for advanced analytics workloads.
Data science

Data science

Get assistance to streamline designing, building, and deploying AI/ML Models.
Actionable insights

Actionable insights

Run sophisticated AI/ML models to reveal new opportunities, locate efficiencies, and encourage innovation.
Improved customer service

Improved customer service

Utilize AI tools like chatbots and speech recognition to provide faster service to your customers.
Offerings
AI/ML Accelerator

AI/ML Accelerator

Our AI/ML Accelerator is designed to help organizations rapidly adopt and build out their advanced analytics capabilities on premises, from hardware needs to cultural shifts that help make advanced analytics initiatives successful.

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MLOps Accelerator

MLOps Accelerator

Our AI/ML Accelerator is designed to help organizations rapidly adopt and build out their advanced analytics capabilities on premises, from hardware needs to cultural shifts that help make advanced analytics initiatives successful.

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Data Estate Assessment & Planning

Data Estate Assessment & Planning

We’ll work with you to examine key business goals and identify where properly organized data and analysis will provide actionable insights, ultimately helping you transform your organization’s data into a strategic advantage.

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Data Estate PoV Leveraging TimeXtender Package

Data Estate PoV Leveraging TimeXtender Package

Transform your entire reporting ecosystem from source ingestion to insights and visualizations in fewer than 30 days

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Performance Visibility Enablement with Power BI

Performance Visibility Enablement with Power BI

Accelerate your ability to make smarter decisions by supercharging your organization's business intelligence with Power BI.

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The AIOps Solution Package

The AIOps Solution Package

Streamline your IT operations with the power of AI.

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AWS Data and AI Financial Opportunity Assessment

AWS Data and AI Financial Opportunity Assessment

Unlock the power of AI with our AWS Data and AI Financial Opportunity Assessment!

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Redapt OpenAI & ChatGPT Opportunity Assessment for Azure

Redapt OpenAI & ChatGPT Opportunity Assessment for Azure

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Frequently Asked Questions

Artificial Intelligence and Machine Learning

 
 

What is enterprise AI adoption?

Enterprise AI adoption is the process of incorporating artificial intelligence technology into a business or organization. This might involve using AI to improve the company's operations, increase sales or even create entirely new products and services. AI is somewhat new to enterprises, and adoption can be a challenge, but it's also very rewarding for businesses that are able to successfully implement it because oi the insights it can provide, as well as benefits to customer service.

How do you adopt AI?

There are a few key steps to adopting AI within an organization. First, identify the areas of the business where AI could have the most impact. Within these areas, it's important to take inventory of data that can be used to develop AI models. If the data is not available today, an effort to source it is required. All data must be validated and transformed into an input that can be used in AI model training. It's also important to assess and develop new skill sets for teams that will be building AI models, data pipelines, and running production. Finally, we recommend implementing the AI solution incrementally, validating results with each iteration and tracking the overall results.

What are some AI adoption challenges?

There are a few challenges that come with adopting AI. First, teams must learn new skill sets and adopt new processes compared to traditional software development. It's also critical to make sure that the AI models are able to integrate with the rest of the company's systems since AI models are almost always used by other software, not by users directly. Another challenge is ensuring that the AI models will evolve to continue providing value. It's a continual learning process, not a one-time effort. There can also be challenges with data management and privacy. Many AI models need to be able to learn from very large data sets, and it's important to make sure that data is properly secured, especially when it contains confidential information.
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The technology powering AI and ML is changing rapidly. Get up to speed on the needs of these transformative technologies.

AI and ML are here to stay. Companies across all industries are using the technologies to make better predictions about customer behavior, create new products, prevent fraudulent transactions, automate repetitive tasks, and automate chatbot functionality. 

Accelerate your business with AI and ML solutions—and the right infrastructure and talent to support them. Read our guide to find out how.

Learn More About AI & ML

Ready to take the leap toward improving your AI & ML capabilities?

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