Unlocking the Potential of Generative AI for Data Modernization: Insights from MassTLC’s AI Predictions 2025

In the fast-evolving world of technology, artificial intelligence (AI) is quickly becoming a core driver of innovation and competitive advantage. At MassTLC’s recent AI Predictions 2025 event, I had the pleasure of discussing where AI is heading in the data modernization space and how generative AI (GenAI) will reshape the way businesses approach unstructured data, internal processes, and operational challenges.

Here’s a look at some of my key predictions for the coming year:

GenAI and the Unstructured Data Revolution

One of the most promising use cases of GenAI is in transforming unstructured data, which makes up around 80-90% of enterprise data. Ranging from legal documents to handwritten notes, this information is traditionally difficult to process and analyze. Historically, only a fraction of organizations have been able to leverage it effectively, and much of it remains an untapped resource.

GenAI has the potential to change this. Imagine an AI tool that can read a complex legal document or a series of contracts, allowing users to ask direct questions and receive instant answers without needing specific expertise. This capability could democratize data insights across departments and provide non-experts access to valuable data in seconds. In the coming year, I predict that more businesses will deploy GenAI to unlock insights from their unstructured data, turning vast amounts of raw information into a strategic asset.

Cross-Departmental Data Access and AI-Driven Productivity

As organizations embrace AI, the technology will increasingly support cross-departmental data access and streamline operations. For example, GenAI can transform processes in departments like finance and technical support. In finance, AI can answer questions about payment history or vendor transactions in seconds, a task that previously required time-consuming record reviews. Similarly, technical support teams could leverage AI to find answers to complex questions without spending hours sifting through manuals, allowing faster and more efficient service.

By integrating GenAI into everyday workflows, organizations can foster a productivity boost across various departments. I predict that, in 2025, we’ll see AI become not just a tool for innovation but also a driver of efficiency, as it empowers employees with immediate access to actionable information.

Overcoming AI Adoption Challenges

Despite its potential, AI adoption is not without challenges. Many companies are still navigating barriers, including a lack of skilled talent to manage AI models, data security concerns, and the need for robust governance. A recent Deloitte study showed that many businesses remain in the experimental phase with AI, reflecting the need for better tools and frameworks to help organizations transition from experimentation to production.

In the coming year, we can expect a rise in demand for solutions that simplify AI integration and provide stronger security measures to protect sensitive data. Bringing models to data rather than data to models, for instance, could help maintain privacy without compromising on insights. I predict that overcoming these challenges will become a central focus as companies strive to realize AI’s full potential.

GenAI and Risk Management: A Growing Priority

As AI continues to evolve, so will the need for risk mitigation strategies. Companies adopting GenAI will need to prioritize data protection, governance, and model accuracy. Simplifying the technical requirements to use AI can also help companies bridge the skills gap and make the technology accessible to a broader audience.

My prediction is that we’ll see a growing focus on embedded risk management in 2025, as vendors and organizations alike work to make AI not only powerful but also trustworthy and secure.

The Future of GenAI: Embedded, Everywhere

Looking ahead, I expect GenAI to become embedded across the software tools we use daily. From video conferencing platforms to coding tools like GitHub Copilot, AI will be seamlessly integrated to enhance user experiences. In 2025 and beyond, I believe this trend will continue, with AI making its way into production-grade software as companies solidify governance practices and privacy protections.

As GenAI becomes a core component of everyday technology, organizations will need to choose vendors who prioritize ease of use, data security, and compliance with evolving standards. Those who adapt quickly and effectively to AI will stand to benefit greatly, gaining efficiencies, unlocking insights, and setting the stage for a more data-driven future.

AI adoption is a journey, but with the right strategies and partners, organizations can capture its full potential, harnessing AI to stay competitive and innovative in an increasingly complex digital world.

Rocket Software was recently recognized as a Major Player in the IDC MarketScape report for its GenAI solutions. Learn more about Rocket Software’s full suite of GenAI hybrid cloud solutions by visiting here.