Data Annotation: The Invisible Backbone of AI & ML Algorithms
The moment you wake up in the morning, your brain gets surrounded by blazing threads of AI and ML algorithms – forecasting the weather, categorizing emails, getting driving directions, setting fare in a ride-hailing app, or playing the next song in the streaming queue. The list goes on.
However, we are yet to see how an array of such unseen algorithms truly shines. Well, let me give you the un soupçon aka the hint – Data Annotation! Let’s dig in to learn more about it.
First Things First: What is Data Annotation and Why It Matters?
By 2025, 463 exabytes surpassed USD 1 billion in 2020 and is predicted to grow to USD 5.5 billion by 2026.
A report
However, it will be an uphill battle if 10,000 or 1,000,000 documents are to be tagged. That is where cognitive technology can turn the tables with the help of content annotation.
It can categorize and label all the data to kick off the ML development process. Once the ML algorithm gets trained, it can find similar patterns, detect problems, and suggest relevant solutions. This allows your data scientists to specialize in complex use cases – leading to lower costs and better scalability.
Some cognitive platforms take data annotation to a whole new level by leveraging it for personalization, accuracy, and efficiency. Let’s find out how.
According to Gartner, 70% of customer interactions will involve emerging technologies such as machine learning (ML) applications, chatbots, and mobile messaging
First, conversational AI or chatbot. There is no shred of doubt that a chatbot is only as smart as the technology behind it. A subpar technology leads to inaccuracy and subsequently poor CX. This is why it is imperative to deploy
This post is just the tip of the iceberg. SearchUnify & AI are enjoying breakthrough progress in transforming the support outcomes. There's a lot of exciting stuff that has been introduced in our release – Mamba ’22. For immersive reading, please refer to the release notes [here](https://docs.searchunify.com/Content/Release-Notes/Mamba-22-Release-Notes.htm)'>intelligent chatbots.
To give you a quick rundown of all that’s new and improved, we’ll be holding a live webinar for a feature-by-feature walkthrough and Q/A on December 9, 10 AM PST And we’d love for you to join.
The moment you wake up in the morning, your brain gets surrounded by blazing threads of AI and ML algorithms – forecasting the weather, categorizing emails, getting driving directions, setting fare in a ride-hailing app, or playing the next song in the streaming queue. The list goes on.
However, we are yet to see how an array of such unseen algorithms truly shines. Well, let me give you the un soupçon aka the hint – Data Annotation! Let’s dig in to learn more about it.
First Things First: What is Data Annotation and Why It Matters?
By 2025, 463 exabytes surpassed USD 1 billion in 2020 and is predicted to grow to USD 5.5 billion by 2026.
A report
){kind=link}
However, it will be an uphill battle if 10,000 or 1,000,000 documents are to be tagged. That is where cognitive technology can turn the tables with the help of content annotation.
It can categorize and label all the data to kick off the ML development process. Once the ML algorithm gets trained, it can find similar patterns, detect problems, and suggest relevant solutions. This allows your data scientists to specialize in complex use cases – leading to lower costs and better scalability.
Some cognitive platforms take data annotation to a whole new level by leveraging it for personalization, accuracy, and efficiency. Let’s find out how.
According to Gartner, 70% of customer interactions will involve emerging technologies such as machine learning (ML) applications, chatbots, and mobile messaging
First, conversational AI or chatbot. There is no shred of doubt that a chatbot is only as smart as the technology behind it. A subpar technology leads to inaccuracy and subsequently poor CX. This is why it is imperative to deploy
This post is just the tip of the iceberg. SearchUnify & AI are enjoying breakthrough progress in transforming the support outcomes. There's a lot of exciting stuff that has been introduced in our release – Mamba ’22. For immersive reading, please refer to the release notes [here](https://docs.searchunify.com/Content/Release-Notes/Mamba-22-Release-Notes.htm)'>intelligent chatbots.
To give you a quick rundown of all that’s new and improved, we’ll be holding a live webinar for a feature-by-feature walkthrough and Q/A on December 9, 10 AM PST And we’d love for you to join.
0
Please sign in to leave a comment.
Comments
0 comments