Recently, we\u2019ve seen the rise of new types of AI, including generative and agentic. How do you think AI will continue to evolve in the short and long term?<\/strong><\/h3>\nWe\u2019re just getting started with AI\u2019s real impact on business. Generative AI has shown us what\u2019s possible, but agentic AI \u2014 where autonomous agents take actions on our behalf \u2014 is where the real transformation begins.<\/p>\n
In the short term, expect a wave of AI agents handling tasks across sales, service, finance, and operations. But here\u2019s the catch: these agents are only as good as the data they run on. Without trusted, unified, real-time data, AI will stumble. Enterprises that move from \u201cdata at rest\u201d to \u201cdata in motion\u201d \u2014 living, streaming, connected data \u2014 will win.<\/p>\n
In the long term, AI won\u2019t just assist; it will drive<\/em> decisions, automate operations, and personalize experiences at the speed of a millisecond. Building a real-time data foundation now isn\u2019t just an IT strategy \u2014 it\u2019s business survival.<\/p>\nData is at the core of AI, but having the <\/strong>right<\/strong><\/em> data for AI models is essential. How can companies ensure the quality of their data inputs?<\/strong><\/h3>\nAI is only as good as the data that feeds it. Yet too many enterprises still operate with fragmented, static, or outdated data \u2014 and it shows in AI outcomes.<\/p>\n
To ensure quality, companies need to rethink data as a dynamic asset, not just a stored resource. That means unifying data across silos, continuously cleansing and enriching it, and making it available in real time. It\u2019s not enough to have data; you need trusted, connected, and living<\/em> data \u2014 what we call \u201cdata in motion.\u201d<\/p>\nCompanies that invest in building a real-time, trusted data foundation can fuel AI models with context-rich inputs, dramatically improving accuracy, reliability, and business impact. In the age of AI, trusted data isn\u2019t a technical nice-to-have; it\u2019s a core strategic advantage.<\/p>\n
Reltio provides AI-powered, cloud-native SaaS data unification. Can you outline the relationship between AI and the cloud?<\/strong><\/h3>\nAI and the cloud are fundamentally interconnected, and cloud-native data unification is the critical link between them.<\/p>\n
The enterprise data landscape is more fragmented than ever, spread across SaaS, on-prem, cloud, and edge systems. A cloud-native platform like Reltio becomes the universal receiver \u2014 an always-on, always-available hub where all enterprise data can be unified, trusted, and activated.<\/p>\n
It also enables real-time consumption of data from anywhere, by applications, users, partners, and devices across the globe \u2014 often within milliseconds. And because the most critical business data flows through it, the platform must be secure by design, striking a balance between protection and seamless access for authorized users.<\/p>\n
The cloud gives AI the scale and agility it needs. Unified, trusted, and real-time data in the cloud gives it the intelligence to act.<\/p>\n
Together, they are reshaping how businesses compete and win in the digital economy.<\/p>\n
Why is the cloud the most suitable infrastructure for AI?<\/strong><\/h3>\nThe cloud is uniquely suited for AI because it offers constant innovation across every layer of the technology stack\u2014from AI frameworks and model training infrastructure to networking, compute, and storage. This “layer cake of innovation” means that users benefit from continuous advancements without needing to manage the complexity themselves. With the cloud, enterprises can quickly tap into cutting-edge AI capabilities, scale resources on demand, and stay ahead of the curve\u2014all while focusing on outcomes, not infrastructure.<\/p>\n
AI needs real-time data, massive processing power, and agility. Only the cloud delivers all three.<\/p>\n
How will the cloud continue to develop as AI advances?<\/strong><\/h3>\nThe cloud isn\u2019t standing still \u2014 it\u2019s evolving to meet AI head-on. Tomorrow\u2019s cloud won\u2019t just store data or run models. It will stream trusted, real-time intelligence directly into AI systems, business processes, and customer experiences \u2014 at the speed of engagement.<\/p>\n
To keep up, the cloud must get faster, smarter, and more context-driven. Unified, trusted data will move seamlessly through AI pipelines with built-in governance and low-latency execution.<\/p>\n
The bottom line: in the AI era, cloud isn\u2019t just infrastructure \u2014 it\u2019s your competitive engine. Enterprises that build for real-time, unified data today will be the ones leading tomorrow.<\/p>\n
How should companies work to address the ethical and transparency concerns around AI?<\/strong><\/h3>\nAddressing AI\u2019s ethical and transparency challenges starts with foundational principles: security, privacy, and responsible data stewardship.<\/p>\n
At Reltio, these are built into our architecture. We\u2019re cloud-native, secure by design, and built for multi-tenant \u2014 ensuring that enterprise data remains protected, private, and governed across all use cases. We also prioritize explainability as a core feature, helping customers understand how data is used and how decisions are made by AI systems.<\/p>\n
What can we do today to prepare for the next wave of AI innovation? \u00a0<\/strong><\/h3>\nThe next wave of AI will move faster than anything we’ve seen \u2014 and only companies with real-time, trusted data will keep up.<\/p>\n
The playbook is clear: Unify your data, govern it rigorously, and move it at the speed of decision-making. Static, fragmented data will be a growth killer. “Data in motion” \u2014 clean, connected, and living data \u2014 is the fuel for the AI agents, models, and automation that are coming next.<\/p>\n
This is bigger than technology. It’s about future-proofing the business. Leaders who invest in trusted, real-time data foundations today will be the ones shaping the AI-driven economy tomorrow.<\/p>\n\n
\u00a0<\/p>\n<\/p><\/div>\n\n","protected":false},"excerpt":{"rendered":"
\u00a0 Recently, we\u2019ve seen the rise of new types of AI, including generative and agentic. How do you think AI will continue to evolve in the short and long term? We\u2019re just getting started with AI\u2019s real impact on business. Generative AI has shown us what\u2019s possible, but agentic AI \u2014 where autonomous agents take […]<\/p>\n","protected":false},"author":1,"featured_media":282918,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[93],"tags":[11170,13355,824,10916,40470],"dealstore":[],"offerexpiration":[],"class_list":["post-282917","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-finance","tag-businesses","tag-compete","tag-digital","tag-economy","tag-reshaping"],"yoast_head":"\n
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