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.

See How Organizations Are Transforming Their IT Operations With The Power Of Redapt’s AI And Machine Learning.

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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

Accelerate AI/ML adoption with Redapt’s Accelerator. From hardware to culture, we help organizations build advanced analytics capabilities.

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Data Estate Assessment & Planning

Data Estate Assessment & Planning

Optimize data estate with Redapt’s Assessment & Planning offering. Identify actionable insights and transform your 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

Accelerate how you identify real-time anomalies, create actionable alerts, and cut down on the noise of your IT operations deal daily.

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AWS Data and AI Financial Opportunity Assessment

AWS Data and AI Financial Opportunity Assessment

Is your organization ready to unlock the power of AI? With Redapt's Data and AI Financial Opportunity Assessment, you can make well-informed decisions and discover where Data and AI can provide immediate value, while also creating a roadmap towards achieving your aspirational AI goals.

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AI Opportunity Assessment for Azure

AI Opportunity Assessment for Azure

Unlock the full spectrum of possibilities as we delve into your unique landscape, identifying the most impactful opportunities for leveraging Generative AI and Large Language Models (LLM).

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AI Opportunity Assessment for AWS

AI Opportunity Assessment for AWS

Unlock possibilities with Amazon Bedrock, assess your most impactful opportunities, and understand the path to achieve your advanced AI goals with the Generative AI Opportunity Assessment for AWS!

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AI Readiness Assessment for AWS

AI Readiness Assessment for AWS

Identify AI opportunities with Redapt’s Generative AI Value Discovery. Assess potential, jumpstart models, and chart a clear path to advanced AI success.

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Azure AI Assistant Pilot

Azure AI Assistant Pilot

Transform business with Redapt’s Azure AI Assistant Pilot. Leverage Copilot Studio for AI-driven copilots, generative AI, and Azure OpenAI integration.

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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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