CXOToday has engaged in an exclusive interview with Mr. Utsav Turray, Head of Product Marketing, Newgen Software
- Why do enterprises need to modernize their content management tools and practices?
The definition of content has changed tremendously over the years. Today, content management encompasses managing content like electronic PDFs, MS Office documents, videos, and social media posts generated through various enterprise applications and channels. Also, the velocity of content has increased significantly, mainly due to digitization initiatives triggered by the pandemic. Thus, enterprises are looking to digitally transform their document-centric processes and reduce dependency on paper-based processes.
As enterprises are shifting to a hybrid work model, it is important to allow employees to access content and collaborate while ensuring information security easily. Looking at all these aspects, it becomes critical for enterprises to develop and implement a modern and more holistic content management strategy.
Most enterprises are revamping their content management by leveraging artificial intelligence and machine learning (AI/ML) based capabilities to extract valuable insights and streamline various content-centric processes.
- What are some common hurdles faced by enterprises when it comes to managing content?
It is common for enterprises to encounter various challenges while managing their content. Due to digitization initiatives, a lot of content is generated and stored that consists of valuable information. However, if not utilized appropriately, it might transform into dark data – the information acquired through various sources and operations but not used for deriving value or decision-making. For effective management, enterprises need to have more contextual content.
Today, data is generated from multiple sources, so ensuring its security becomes challenging. Also, guaranteeing data privacy can be a task without masking personally identifiable information.
Another bottleneck could be that enterprises have many content stores but no single interface to orchestrate them. Managing content from different sources results in information silos. It also becomes challenging to apply regulatory policies on multiple content stores, giving rise to information governance and compliance-related concerns.
- How can enterprises leverage artificial intelligence (AI) and machine learning (ML) capabilities for managing content?
AI/ML capabilities are critical for enterprises from productivity and intelligence standpoints. They not only help derive valuable insights from structured/unstructured content but help ensure effective and intelligent content management practices.
AI/ML can be used for revamping multiple processes, like intelligently classifying documents with redaction of sensitive data and extraction of information, automatically extracting and linking metadata in documents, performing sentiment analysis, providing knowledge management for employees through knowledge graphs and content discovery options, predicting next best actions, and more.
- Cloud is one of the hottest topics in the technology space today. How do you see cloud driving change in the content management space?
Cloud plays a central role in content management today. It can help enterprises ensure better governance and address their storage requirements. Furthermore, it allows enterprises to enhance their user experience and scale content-centric processes using the existing IT infrastructure.
Moving forward, many enterprises will migrate to a cloud-based content services platform for scalability, while others might integrate their existing systems with the cloud for flexibility.
- Going forward, what must be the focus area for enterprises in terms of content management?
In my view, enterprises must focus on establishing a connected content management ecosystem to manage the content sprawl. They must deploy content applications that facilitate such an ecosystem and help them deal with unique business requirements and new content forms.
To build content applications rapidly, enterprises must invest in content services platforms with headless content APIs and micro-UIs to build use case specific applications. This will help manage new content types, including videos, high-frequency messages, and meeting recordings. Investing in such a platform will allow organizations to scale per business needs easily, reduce deployment costs, and accelerate the CI/CD process.
Using this connected content ecosystem, enterprises can leverage content services within different applications without leaving the interface of their core applications. This connected content ecosystem not only stores content generated through various applications but also provides options to edit documents, videos, and other content types. Also, it enables employees to collaborate on specific content through annotations, comments, and other options.
