From Chaos to Clarity: Mastering Data Management for AI Success

By Kraig Kleeman

“If data management were a sport, it would be dodgeball in a hurricane. Ready to dodge, duck, dip, dive, and dodge your way through data for winning AI? Lace up your sneakers, and let’s get started.” – Erik Severinghaus, CEO

Introduction

With all the difficulties and successes, I have gained a lot of understanding on how data can either help or hinder AI. I want to share some insights with you, particularly if you are looking for ways to start your AI projects.

The Real-World Data Drama

Let us discuss the complicated nature of data in artificial intelligence. If you have attempted to coordinate a team task where each person holds their own information but there is no common understanding, then you have experienced something similar to what we call data silos. They can complicate matters because your AI attempts to learn from notes that are not complete. Consider also the unstructured data, like various notes, pictures, and videos scattered on your mobile phone. It is all important material, but think about the process of writing a report with just those things. Yes, it’s quite overwhelming.

Tackling the Mess: My Top Tips

I’ve got a few tricks up my sleeve that might help:

Eliminate the Isolated Data: Begin by ensuring that all your information is working well with each other. This could involve having important discussions on combining your systems so that they all contribute to one central location. Trust me, it’s a game changer.

Establish basic guidelines: Data governance is more than just an impressive term — it’s extremely helpful. Create specific regulations regarding who is permitted to handle the data in certain ways. It helps maintain cleanliness and prevents situations where crucial information is accidentally lost or becomes disorganized.

Adopt cloud storage: When your data keeping seems too confined, like a small wardrobe, consider improving. Using the cloud allows you to expand and increase freely without concerns about lack of space. Plus, it’s usually faster, which means less waiting around for files to load.

There exist some impressive tools capable of managing disorganized, non-standard data. They resemble intelligent applications that condense articles or organize your images according to the people featured in them. Invest in these, and you’ll save tons of time.

Why Bother with All This?

You may be curious about why you should make this effort. Proper data management is not only to maintain orderliness; it also helps your AI projects become more intelligent, quick, and efficient. When your information is neatly arranged and easy to reach, it helps your AI to improve its learning and make wiser choices. It’s similar to enhancing its speed greatly.

The Big Challenge: Unstructured Data

Working with unstructured data is similar to sorting out a teenager’s room; it can be very messy, but that’s where you discover the valuable items. You must have appropriate instruments to search through the clutter and locate the treasures. This section may be challenging, yet it is frequently the source of the most significant understandings.

Wrapping It Up

Handling data for AI is sometimes similar to trying to control many cats, but if you have good plans, it turns into something like directing a music group where everything works together and creates a lovely outcome. At Bloomfilter, we faced many difficulties as well as achieving numerous successes. The best aspect is, when you become accustomed to it, it starts to feel like an instinct.

Whether you are beginning or seeking to improve your method, keep in mind that managing your data is not merely a task; it’s essential for maximizing the capabilities of your AI. Continue with persistence and be open to experimenting with different instruments and methods. Here’s to making your data work for you!

About Erik Severinghaus

Erik Severinghaus is a highly successful entrepreneur, author, and mountaineer. If his accomplishments and aspirations were to draw inspiration from natural icons, he could be described as a fusion of Mark Zuckerberg’s visionary approach to business and Tony Stark’s electrifying approach to saving humanity. He possesses keen business acumen and a flair for captivating customers, investors, and marketing partners.

Erik’s entrepreneurial spirit is boundless, as evidenced by his track record of founding, operating and exiting multiple ventures that have created a combined $600M in value. Erik’s investment skills are striking. He was a founding investor in Hyde Park Angels which recently helped ShipBob achieve unicorn status. He raised $6M startup capital for his newest venture, Bloomfilter, which is growing by triple digits, quarter over quarter.

As an endurance athlete, Erik has conquered some of the world’s tallest peaks, including Mt. Everest in 2018. In his public appearances, Erik is quick to discuss that learning to navigate through the valleys in his business life is what has led him to properly navigate the victories.