Businesses are overwhelmed with data, but are striving for insights. Today, there is a huge rise in insight engine which helps discover and analyze data, while combining AI and machine learning capabilities to drive digital initiatives. These capabilities make it a world class technology as it helps it evolve and continue to enhance its capabilities with machine learning and deep learning. This drastic rise in the technology poses an interesting question is insight engine the new generation of digital asset management?

What is Digital Asset Management?

Digital asset management helps organizations intelligently manage, store, organize, find and analyze its information and content. It strategically helps organizations by eliminating human error through a system that makes sure to store content effectively, it boosts efficiency and productivity since it reduces repetitive tasks. Moreover, digital asset management systems help companies maintain brand and marketing messages through its management of the organizations digital assets which are critical to its marketing and advertising activities.

Is Digital Asset Management Dead?

As everything continues to evolve, including digital media, businesses face a challenge in the continuous growing number of digital assets stored in their multiple formats, from multiple channels, media files, product lines and so on. Applying useful metadata to images becomes a daunting task as it’s done manually costing the organization a lot of time and money. This can easily overwhelm any organization and possibly cause it to fall back.

Consequently, DAM solutions need to be updated to meet consumer needs by embedding new technology that facilitates the overall process of digital assets management.

Insight Engine a New Generation of DAM?

Insight engines boosts companies’ growth by delivering ultimate value through customer tailored personalization. Powered by Big data, Artificial Intelligence and machine learning technology insight engines act as strategic business resource that helps organizations create unique digital experiences to its customers. This embedment of such technology makes Insight Engines the new big thing and the next generation of DAM as it presents essential personalized experiences that seamlessly outperform traditional digital asset management systems.

How Insight Engine Works

Insight engines helps companies organize, discover and analyze data. It works to provide analysts with insights about customers and their activity, behavior and interests. Moreover, helps analyze customer and employee relationship powered by most in-depth technology of Artificial intelligence, big data and machine learning. This gives companies the power to present personalized and unique content to customers, produce personalized product lines to satisfy unique audiences. What makes insight engines valuable is their ability to process unstructured data such as social media information, images, videos, audio files and turn them into valuable personalized content.

Technology evolves very fast and companies need to keep pace in order to flourish. Today, there is a huge rise in insight engine technology which clearly in its embedded AI technology offers a unique customer experience.

Insight Engine Applications outside of the Digital Assets Management Space:

Outside the world of DAM, insight engines help create valuable customer experiences. Today, companies are struggling to provide customers with a valuable experience and those who support customers are companies that are winning in sales and huge brand recognition. Insight engine helps business boost their relationship with customers through intelligent relationship building. It uses high quality technology such as natural language processing NLP and natural language question answering NLQA  to give customers a sense of comfortable human interaction that actually deliver satisfactory results. Moreover, not only do insight engines manage data, they can produce with the help of machine learning and deep learning business prediction and scenario developments to solve multiple business issues.

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