How Will AI Change the Content Services Market and Lead to Intelligent Work Model Innovation?


With the development of digital transformation, the global data volume will increase to 181ZB by 2025, 80%-90% of which is unstructured data. As enterprises accumulate more and more unstructured data, content management services have become an immediate need for data-driven enterprises. According to IDC market research, the global content services market size will reach $12.6 billion by 2020.

"Intelligence" is the inevitable trend of content service development

Content Service, as defined by Gartner, is a set of services and microservices, embodied as an integrated product suite and applications that share common APIs and repositories to exploit diverse content types and serve multiple constituencies and numerous use cases across an organization.

With the deepening of enterprise digital transformation practices and the continuous advancement of AI technology from perception to cognition, the market's understanding of "Content Services" is no longer limited to a single tool or platform to meet basic storage needs and simple content collaboration.

Gartner has predicted that "by 2023, more than 60% of enterprises will use AI-driven technologies to improve insights to enhance digital transformation agility." Content services will empower digital business scenarios with the help of artificial intelligence technology to explode into a broader development space.

AI provides new impetus for content services to create an intelligent work model

In the field of content services, "intelligence" refers to the ability to empower complex content systems with advanced artificial intelligence technologies (e.g., machine learning, deep neural networks, etc.), especially when relying on such capabilities to achieve innovative goals such as content classification, productivity improvement, automation scenarios, security and privacy control.

"Content intelligence, productivity intelligence, and security intelligence" are the three core elements of intelligent content services.

- Content Intelligence: Reducing repetitive manual labor and upgrading work experience

Traditional work scenarios are not intelligent enough, and a lot of repetitive tasks such as bill identification and form collection need to be done manually, which is not only inefficient but also error-prone. With the advancement of algorithm and computing speed, AI has become more mature in realizing human-computer interaction based on natural language, vision and other perception methods, and will move towards higher dimensional and more accurate direction.

Content intelligence provides content understanding capabilities without human intervention by leveraging technologies such as natural language processing, computer vision, and machine learning, to extract key information from text, images, audio and video, and to achieve content classification, recognition, retrieval, metadata enhancement and other functions.

- Productivity Intelligence: Connecting data silos to inspire innovation and creativity

An IDC survey found that 39 % of employees identified "large amounts of disconnected data" as the biggest challenge in leveraging their information and knowledge assets. When data silos spread, content and knowledge assets are blocked from each other in unstructured files. It is difficult to leverage maximum value.

Thanks to the booming development of AI and machine learning, the industry continues to conduct cutting-edge exploration based on cognitive technology to realize the value capability with higher-order understanding, correlation and reasoning. Productivity intelligence is mainly realized by machine learning and mapping technologies, linking content in documents, websites and conversations based on common themes or entities, to identify similar working patterns, actively suggest or push content to users, find inspiring material faster and promote efficient knowledge flow and connection. The work of knowledge workers has shifted from "inefficient retrieval" to "efficient decision making and innovation", which can output higher value results in less time and stimulate innovation and creativity.

- Security Intelligence: Securing personal and corporate privacy

While AI technology brings unlimited opportunities for content services, the data security challenges that come with it cannot be ignored. It is found that from 2020-2021, the average total cost of data breach for organizations increases 10 times due to low maturity of enterprise content security systems. In addition, ransomware is a serious problem, with 60% of organizations exposed to ransomware attacks and is growing at more than seven times the rate.

With AI technologies such as machine learning, security intelligence enables organizations to overcome various power outages through standard security and privacy controls, allowing advanced security features such as proactive identification, classification and screening control of sensitive content. It guarantees cross-departmental data interaction for enterprises, enhances confidentiality and privacy data control, realizes enterprise core data visualization and control, and improves the security factor of enterprise information construction management.

The future of intelligent content services: the core of an enterprise's digital workplace strategy

The 2021 Gartner Magic Quadrant Report for Content Service Platforms states, "In the future, Content Service Platform will be a core part of an enterprise's digital workplace strategy."

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