Harnessing the Intelligence of AI for Content Management

Sanam Malhotra | 19th November 2019

Artificial Intelligence (AI) is beginning to transcend human intelligence in the art of content curation. AI for content management is generating greater value for digital marketers with automated data interpretation, voice-controlled interfaces, sentiment analysis and more. With an edge over human intelligence, let’s explore how artificial intelligence services are creating smarter content management systems for global businesses.


1) Generating Content

While AI still lags behind human intelligence to create original content, its cognitive abilities are efficient at imitating simple stories. AI’s computer vision technology can trace enterprise reports, news outlines, and sports statistics to produce content in pre-defined formats.

For instance, AI can draw meaningful inferences from poll statistics and sports match results or enable executives to conclude quarterly performances. The neural networks and ML algorithms can be trained with templates and specific formats to prepare easy to understand content pieces.

Some other AI capabilities under content generations include-

a) Content translation from one language to another

b) Video and audio transcription

c) Grammar validation

d) Content personalization according to the target audience


2) Converting Voice to text

Voice-controlled AI assistants are becoming household names with the ability to understand, process, and address diverse customer requests. Today, virtual assistants and website chatbots are entering business infrastructures to automate routine operations, streamline processes, and resolve customer queries.

Under Content management systems, AI can deliver the following solutions-

a) Voice-controlled AI systems can enable marketers to eliminate manual commands and data inputs.

b) The speech-recognition abilities of ML models can convert speech to written text in a matter of minutes.

c) Once digitized, the algorithms can extract meaningful insights from the content to make appropriate responses. 

Also Read- Automating Business Interactions with Whatsapp Chatbots


3) Analyzing text intent

With an abundance of raw and unstructured content, it is essential for businesses to extract precise insights for formulating effective marketing strategies. The algorithmic advances in AI’s computer vision and natural language processing (NLP) capabilities are complementing human intelligence to analyze digital content.

Businesses are using these technologies to enhance customer experience and accelerate growth with-

a) Sentiment Analysis– From social media posts to product reviews, AI can sift through complex content interfaces to understand customer behavior.

b) Visual Question Answering (VQA)- It covers the binary classification and tally of images along with fetching their contextual information. VQA is an emerging technology being explored by business in handling product-related queries, detailing product descriptions, and for real-time service updates.

Also Read- Artificial Intelligence in CRM | Analyzing Business Usecases and Benefits


4) Extracting Metadata and Tagging Images

Metadata becomes the face value of any content piece and hence should be optimized enough to make an impactful statement. AI’s text extraction abilities are benefiting marketers with flexible and time-effective metadata generation.

In addition, image tagging is another time-consuming task that requires human intervention to recognize images and their features. The expanded tagging capabilities of computer vision enable SMBs to identify and classify objects without heavily investing in extensive machine learning models.

Also Read- Visualizing the Future of Computer Vision Across Businesses


Deploying AI for Content Management with Oodles   

We, at Oodles, combine computer vision technologies such as human-computer interaction, behavior analysis, and teleconferencing to build computer vision systems. We conduct deep video analytics to optimize the workflows of global businesses in the following manner-

a) Real-time object detection and video analytics with over 80% accuracy in distinguishing anomalies and defects for manufacturing businesses.

b) Extensive image tagging and content management for dynamic digital marketing.

c) Effective voice-to-text machine learning models for streamlining customer interactions and enhancing the experience.

Talk to our AI team to know more about our multidimensional artificial intelligence services.

About Author

Sanam Malhotra

Sanam is a technical writer at Oodles who is currently covering Artificial Intelligence and its underlying disruptive technologies. Fascinated by the transformative potential of AI, Sanam explores how global businesses can harness AI-powered growth. Her writings aim at contributing the multidimensional values of AI, IoT, and machine learning to the digital landscape.

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