09/10/2024 | Press release | Distributed by Public on 09/10/2024 02:22
It was several years ago that the industry buzz was all about the cloud. Should organizations keep control and manage their workloads on premise? Go all-in on the cloud? Or adopt a hybrid model where certain workloads can be managed on premise while others in the cloud.
Cloud adoption remains a healthy buzz today with business decision making asking questions around security, cost and control. With the emergence of AI technologies thrown in the mix, enterprises are forced to ask those tough business and technology level questions to determine if their organization's content strategy is sustainable in today's modern era and highly competitive market environment.
The area it has finally gotten the attention it deserves is in enterprise content. Content today is arguably among an enterprise's most crucial business asset. If developed and executed correctly, it will set your organization apart from competitors, be a revenue stream contributor and help you win in your market.
However, many organizations still struggle with outdated processes and legacy systems that cannot support their ability to execute a successful content strategy. Manual, error-prone processes won't allow them to keep pace with audience content consumption interests and patterns. Success lies in the cloud and the wider ecosystem connectivity opportunities cloud services and cloud technologies present to ensure content strategies support business goals.
Taking a cloud-based, self-service approach to managing and executing a successful content strategy offers multiple benefits that are just not found in an on-premise content management environment. First, it fuels a more agile, flexible approach that supports each content role while supporting cross-content-team collaboration with the power to seamlessly share assets, support messaging consistency and eliminate duplicating efforts.
Secondly, it helps organizations discover and make sense of the data that exists within the organization. With data volume only growing, businesses struggle to know or even understand what content they already have. Much of this is unstructured data and many are afraid of 'the unknown' when it comes to the semantic meaning and context of that data.
Content technologies in the cloud make it simple to formalize and manage unstructured data and convert it into different formats that allows teams to understand patterns of data and make better content decisions. It takes the heavy lift out of that unstructured data helps make sense of what's already there by putting it into an understandable format that teams can own and reuse for commercial and internal compliance purposes.
AI technologies give a huge boost in revolutionizing teams' approach to the content management lifecycle. For example, Copilots are available through each Microsoft Office application and can help subject-matter experts add value to their content. Microsoft Copilot can also help authors quickly and accurately tag and summarize content while ensuring compliance, ultimately facilitating a faster time to market for their work. This use case is particularly important for organizations operating in highly regulated industries such as pharmaceutical and life sciences where the accuracy and compliance of content are critical factors for success.
In today's digital landscape, unstructured data is becoming increasingly prevalent, making it a challenge for content teams to effectively incorporate this valuable information into their content strategies. However, with cloud technologies, content teams can leverage advanced analytics and machine learning algorithms to identify patterns and trends in unstructured data, making it easier to gain insights and create data-driven content that resonates with their target audience.
Adopting a cloud-based approach supports the ability to unlock the power of unstructured data and use it as a key component in content strategies, leading to more impactful and effective content that drives business outcomes.