Industry executives and experts share their predictions for 2025. Read them in this 17th annual VMblog.com series exclusive.
By Rich Waldron, CEO and co-founder, Tray.ai
2025
will be a pivotal year for enterprise AI adoption, but organizations must
overcome significant roadblocks to realize this promising technology’s
benefits. In fact, recent research reveals a majority of
organizations are not ready for AI implementation – 86% of enterprises require
significant tech stack upgrades to properly deploy AI agents. The study also
showed enterprises face integration challenges, with 42% needing access to eight
or more data sources for successful agent deployment. While organizations have
eagerly embraced AI’s promise, many are discovering that successful
implementation requires a new strategy and a reimagining of the tech stack. Two
essential factors are emerging as elements of AI success: robust data
integration capabilities and a deeply embedded culture of innovation.
Enterprises
will Tackle Data Integration – the Blocker Between Truly Unlocking AI Today and
the Path to the Autonomous Enterprise
In
2025, CIOs and IT leaders will need to prioritize data integration to truly
unlock the potential of AI, now or down the line. The traditional approach of
managing hundreds of disconnected applications is no longer sustainable.
Enterprises that will excel in the AI era will be those that can effectively
reason and act on data at scale through strong integration.
Integration
strategies must evolve beyond simple system connectivity to become intelligent
orchestration layers that can reason on petabytes of unstructured data.
Currently, enterprises are relying on custom code or multiple off-the-shelf
SaaS apps that result in fragmentation and integration challenges, leading to
complexity and affecting team productivity. To attain a solid foundation and
agile integration system, organizations need to break down data silos and
consolidate redundant point solutions – currently some of the biggest
bottlenecks plaguing AI innovation. Success will be measured by how quickly
organizations can adapt their integrated systems to changing business needs.
Integration
platform as a service (iPaaS) will rise as the foundation for AI
implementation. As the backbone that traditionally runs automations and
connects different services, iPaaS serves as the natural starting point for AI
deployment, offering the centralization, governance and flexibility
organizations need to adapt in an AI-driven world. This approach allows
enterprises to seamlessly manage their AI implementations, switch between
different AI models and databases as needed and maintain consistent governance
across all AI processes.
Being
able to create intelligent action (autonomous or not) relies upon a composable
architecture, starting on the journey today will enable organizations to deploy
cutting edge solutions much faster.
A Culture of Innovation will be the Catalyst for AI Success
AI success requires more than just
implementing new technology – it demands embedding innovation into an
organization’s cultural DNA while streamlining their technical foundation.
Looking ahead, companies will need to empower team members across all levels to
prototype and deploy AI solutions rapidly. Some organizations already require
every intern to build and submit AI projects. This cultural shift around
AI-powered transformation must be combined with actively reducing technical
complexity, creating an environment where experimentation and iteration are
encouraged and expected.
Companies that can rapidly prototype, measure results and scale
initiatives through integrated systems will thrive in their markets.
Organizations that embrace swift experimentation over perfect implementation
will build resilient AI capabilities that evolve with market demands.
Priorities for the Path Forward
AI
success will be measured not by the number of AI implementations, but by how
seamlessly companies can adapt, scale and evolve their AI capabilities through
integrated systems and empowered teams. The emergence of iPaaS as an essential
enabler of AI deployment represents a significant shift in how enterprises
approach integration, moving from simple connectivity to intelligent
orchestration that can handle the complexity of AI operations at scale. Those
who successfully combine robust integration capabilities, through platforms
like iPaaS, with a culture that encourages rapid prototyping and
experimentation will be best positioned to capitalize on AI’s transformative
potential. As the business world moves inexorably toward autonomous operations,
organizations cannot afford to delay addressing these fundamental challenges.
##
ABOUT THE AUTHOR
Rich
Waldron is the CEO and co-founder of Tray.ai. He co-founded Tray.ai alongside
Alistair Russell and Dominic Lewis in 2012 to give organizations the superpower
of automation and integration to fight manual processes, disparate systems and
siloed data. He strongly believes in helping create a world where anyone can
solve problems without the constraints of technology. Waldron’s focus for
Tray.ai is to help enterprises adopt AI in a fast, flexible and safe way and to
ultimately succeed in an AI-driven world.
