Recently, we have seen the rise of new types of AI, such as generation and agents. How do you think AI will continue to evolve in the short and long term?
We are just beginning to make a real impact on AI business. Generic AI shows what is possible, but agent AI, where autonomous agents take action on our behalf, is where the actual transformation begins.
In the short term, expect a wave of AI agents handling tasks across sales, services, finance and operations. But here’s the catch. These agents are as good as the data they run. Without reliable, unified, real-time data, AI will stumble. Companies that move from “rest data” to “movement data” (living, streaming, connected data) win.
In the long run, AI isn’t just about supporting it. it is drive Personalize your experiences at decision-making, operational automation, and millisecond speeds. Today, building real-time data foundations is not just an IT strategy, it’s business survival.
Data is at the heart of AI, right AI model data is essential. How can businesses ensure the quality of their data entry?
AI is as good as the data that supplies it. But too many companies still operate with fragmented, static, or outdated data, and are shown in AI results.
To ensure quality, businesses need to rethink their data as dynamic assets, not just stored resources. That means consolidating data across the silo, continually purifying and enriching it, making it available in real time. Having data is not enough. You are trusted, connected, and living Data – What is called “data of data.”
Companies investing in building real-time, reliable data foundations can fuel AI models with context-rich inputs, dramatically improving accuracy, reliability and business impact. In the age of AI, reliable data is not technically superior. That is a core strategic advantage.
Reltio offers cloud-native SaaS data integration with AI. Can you give an overview of the relationship between AI and the cloud?
AI and the cloud are fundamentally interconnected, with cloud-native data integration being the key link between them.
Enterprise data landscapes are spread across SaaS, OnPrem, Cloud, and Edge systems, and are more fragmented than ever before. Cloud-native platforms like Reltio are always on and always available hubs that allow you to integrate, trust and activate all your enterprise data.
Additionally, applications, users, partners and devices around the world can consume real-time data from anywhere, anywhere. Additionally, because the most important business data flows, the platform must be secure by design, balancing the protection of certified users with seamless access.
The cloud gives AI the scale and agility it needs. Unified, reliable, real-time data within the cloud gives you intelligence to act.
Together, they shape how companies compete and win in the digital economy.
Why is the cloud the best infrastructure for AI?
The cloud is uniquely suited to AI as it delivers constant innovation across every layer of the technology stack, from AI frameworks and model training infrastructures to networking, computing and storage. This “layer cake of innovation” means that users benefit from continuous progress without the need to manage the complexity itself. With the cloud, businesses can quickly leverage cutting-edge AI capabilities, scale resources on demand, and stay ahead of the curve, focusing on results rather than infrastructure.
AI requires real-time data, large processing power and agility. Only the cloud delivers all three.
How will the cloud continue to develop as AI progresses?
Cloud is not static – meeting AI head-on is evolving. Tomorrow’s cloud won’t just store data and run models. Stream trustworthy, real-time intelligence directly to AI systems, business processes, and customer experiences at the speed of engagement.
To maintain, the cloud needs to be faster, smarter, and more context-driven. Unified, reliable data travels seamlessly through AI pipelines with built-in governance and low latency implementation.
Conclusion: In the age of AI, the cloud is not just an infrastructure, it is a competitive engine. Companies that build unified data in real time today will become the leading company for tomorrow.
How should businesses address ethical and transparency concerns around AI?
Addressing the ethical and transparency challenges of AI begins with fundamental principles such as security, privacy and responsible data stewardship.
At Reltio, these are embedded in our architecture. We are cloud-native, secure by design, and built for multi-tenant purposes. Enterprise data ensures that it is protected, private and managed in all use cases. It also prioritizes explanability as a core feature, helping customers understand how data is used and how decisions are made by AI systems.
What can we do today to prepare for the next wave of AI innovation?
The next wave of AI moves faster than we see. Only businesses with real-time, reliable data are maintained.
The playbook is clear. Integrate data, govern strictly, and move at the speed of decision making. Static fragmented data becomes a growth killer. “Motion in Motion” – Clean, connected, and live data is the fuel for AI agents, models and automation that comes next.
This is bigger than technology. It’s about maintaining your business in the future. Today, leaders who invest in trusted real-time data foundations will shape an AI-driven economy tomorrow.
