Organizations are at a pinnacle time to address how to leverage intelligent technologies. As a part of their modernization strategies, AI can help companies keep up with changing expectations from customers for more digital transactions and increase the efficiency in which they manage the influx of new digital content. Prior to the pandemic, AI, machine learning, and intelligent automation solutions were on IT roadmaps, but many businesses were taking their time to understand the best way to strategically integrate these solutions.
As organizations look to integrate intelligent technologies, there are three key insights they should focus on in order to select the right solution, vendor, and strategy to achieve their goals:
1. Data is for machines; content is for human consumption. With the expansion of system connectivity, API-oriented services, and other trends, the amount of content an organization is receiving and retaining on a daily or weekly basis has exploded. As sources of data grow, Data Governance becomes the biggest concern and risk. State-of-the-art AI technology can assist in this compliance challenge, helping combat the growing regulation constraints. Once integrated with the overarching content management plan, AI helps improve content, making it a true asset for the organization. Once unlocked and accessible, that content can be leveraged to provide better business insights, improve customer experience, and ultimately make the best business decisions.
2. Data privacy laws continue to grow and include new restrictions on storing and using personally identifiable information. Integrating AI-assisted publishing processes with automated PII detection can alleviate privacy concerns and help meet compliance by removing the risks in these processes due to human error. This is especially true for organizations that handle large digital landscapes and rely on manual processes to review and retain the right information.
3. Unlocking the value of content is a major challenge. Many businesses struggle to garner the right information and give it the right context to improve insights and bolster decision-making. AI helps by automatically providing context to each data point, and content overall, transforming it into a true asset that can be leveraged at scale.
AI is a competitive differentiator that not only provides greater process automation but also efficiently captures, processes, and retains data to bring true insights. More importantly, AI solutions can be integrated at various stages within work processes around the content lifecycle, including refreshing legacy content, capture, business validation, and publishing. When supported by tailored APIs and low-code platforms, an organization can gain real-time insights.
The amount of data created continues to grow exponentially, especially in new business climates where digital-first is the de facto approach. However, without the right technologies in place to process that data, organizations will risk accumulating massive amounts of dark data – or worse, falling out of compliance with the ever-changing regulations surrounding data. To eliminate these risks, businesses can leverage intelligent automation processes to identify relevant data and store it safely.