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1046: Meeting The Demand For AI-Enabled Products and Solutions.

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Manage episode 247749735 series 2391590
Content provided by Neil C. Hughes. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Neil C. Hughes or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

ABBYY is an innovator and leader in artificial intelligence (Al) technology including machine learning and natural language processing that helps organizations better understand and drive context and outcomes from their data.

The company sets a goal to grow and strengthen its leadership positions by satisfying the ever-increasing demand for AI-enabled products and solutions. Its technologies are used by thousands of enterprises in finance, insurance, transportation, healthcare and other industries, helping organizations make intelligent business decisions.

Research firm Cognilytica reported that between documents, images, emails, online data, and videos, up to 90% of the content in the enterprise is in the form of unstructured data, which is growing at an astounding 55%-65% per year. At the recent ABBYY Content IQ Summit in Nashville, attendees learned about the use of A.I. to transform and process unstructured and structured data. This is extremely important because if you think about any customer-facing process, it consists of unstructured content.

ABBYY Chief Innovation Officer Anthony Macciola joins me on the Tech Talks Daily Podcast to share how businesses are leveraging A.I. enabled skills to understand enterprise content and processes. Deloitte, KPMG and other companies will be there sharing their experiences using A.I. in their content.

We discuss the future of automation and the impact of robotic process automation (RPA), and how businesses are leveraging AI-enabled skills to understand enterprise content and processes to make intelligent business decisions.

  continue reading

2052 episodes

Artwork
iconShare
 
Manage episode 247749735 series 2391590
Content provided by Neil C. Hughes. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Neil C. Hughes or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

ABBYY is an innovator and leader in artificial intelligence (Al) technology including machine learning and natural language processing that helps organizations better understand and drive context and outcomes from their data.

The company sets a goal to grow and strengthen its leadership positions by satisfying the ever-increasing demand for AI-enabled products and solutions. Its technologies are used by thousands of enterprises in finance, insurance, transportation, healthcare and other industries, helping organizations make intelligent business decisions.

Research firm Cognilytica reported that between documents, images, emails, online data, and videos, up to 90% of the content in the enterprise is in the form of unstructured data, which is growing at an astounding 55%-65% per year. At the recent ABBYY Content IQ Summit in Nashville, attendees learned about the use of A.I. to transform and process unstructured and structured data. This is extremely important because if you think about any customer-facing process, it consists of unstructured content.

ABBYY Chief Innovation Officer Anthony Macciola joins me on the Tech Talks Daily Podcast to share how businesses are leveraging A.I. enabled skills to understand enterprise content and processes. Deloitte, KPMG and other companies will be there sharing their experiences using A.I. in their content.

We discuss the future of automation and the impact of robotic process automation (RPA), and how businesses are leveraging AI-enabled skills to understand enterprise content and processes to make intelligent business decisions.

  continue reading

2052 episodes

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