Webinar Recap: Preparing Your Data for AI

As more companies look to integrate AI solutions into their business operations, the importance of training your data and information for this transformative technology cannot be understated. 

It’s no different from hiring a new employee. You can’t simply throw them into the role without showing them the ins and outs of the organization – its systems, processes and objectives. 

Similarly, integrating AI solutions demands a comprehensive onboarding approach that ensures seamless alignment between the technology and the intricacies of the business environment. 

With data and information growing at a rapid pace, organizations are looking at AI solutions that help to address records management, data privacy, protect intellectual property and mitigate cyber security breaches. While AI can certainly assist in those areas, the technology still needs to be trained to work within an organization’s systems to do its job effectively. 

This is where the challenge lies – people want easy solutions to complex problems and they do not want to invest significant time and resources into any kind of “digital transformation” that may come with unintended consequences. 

Webinar Highlights

Our workshop, “Preparing your data for AI” delves into why it is important for organizations to find solutions for data management and governance that works within their existing systems. It’s not about rushing an organization into uncharted territory, requiring the adoption of new systems, training or staff recruitment. The goal is to allow orgnaizations to have a better understanding of its data and maximize its value. 

Topics covered in this workshop include: 

  1. Preparing your data for AI: Demonstrating the value of assessing an organization’s data repositories and where the vulnerabilities lie. 
  1. Analyzing and tagging data to improve model quality: Determining what files need to be deleted, cleaned up, moved, or kept confidential, followed by a demonstration of how to properly tag relevant files to prepare it for an AI model. 
  1. Testing AI models with new sample data: Putting our product to the test, showcasing its ease of use, effectiveness, and ROI. 

The benefits to improve data management and information governance are endless, and it’s important that organizations move forward with crafting a plan that integrates AI into business operations. No need to kickstart a “digital revolution”.  Let’s focus on unleashing the value of your own data in a way that is insightful, reliable and refreshingly uncomplicated.

FAQ – Preparing Your Data For AI

About Shinydocs

Shinydocs automates the process of finding, identifying, and actioning the exponentially growing amount of unstructured data, content, and files stored across your business. 

Our solutions and experienced team work together to give organizations an enhanced understanding of their content to drive key business decisions, reduce the risk of unmanaged sensitive information, and improve the efficiency of business processes. 

We believe that there’s a better, more intuitive way for businesses to manage their data. Request a meeting today to improve your data management, compliance, and governance.

Optimizing Data for AI Integration Success
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Optimizing Data for AI Integration Success
Elevate AI integration with Shinydocs by preparing data efficiently. Ensure seamless AI adoption and enhance data governance for business excellence.
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