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The Imperative for Real-Time Data in Today's Enterprises

Recent findings reveal that leveraging real-time data is pivotal for the success of artificial intelligence (AI) applications within enterprises. Sponsored by Solace, an innovative real-time data platform, a new IDC InfoBrief painted a compelling picture of enterprise AI's dependency on real-time data. The study surveyed 623 senior technology decision-makers from major corporations across eight countries, giving insight into how organizations are increasingly integrating real-time data into their AI strategies.

Key Findings

Survey responses underscore that enterprises leading in real-time data maturity are more than three times as likely to witness tangible results across various AI projects. These organizations report substantial annual improvements, including a 23% increase in speed to market and better risk management capabilities. Paul Fitzpatrick, Chief Marketing and Business Development Officer at Solace, states, "Every enterprise has the same AI models. The key differentiator lies in whose agents run on reliable, real-time data, and the evidence strongly supports this claim." The findings highlight the growing importance of real-time data as a fundamental element for successful AI implementation, indicating that without it, AI struggles to generate sustainable impacts.

The Link Between Real-Time Data and AI Effectiveness

The study found a striking correlation between the adoption of agentic AI and the investment in real-time data, with 80% of respondents indicating their organizations are either already employing AI agents or planning to do so. Furthermore, nearly 90% of the participants emphasized the importance of focusing on real-time data to bolster their AI initiatives. As the demand for real-time data grows, companies cite advancements in AI as a key driver reshaping their data strategies, overshadowing concerns related to security, budget constraints, and regulatory issues.

Challenges Facing AI Implementation

Despite the clear benefits, connecting AI agents to reliable real-time data presents significant challenges for many organizations. Approximately 40% of the surveyed executives identified this integration as the top obstacle. The study also revealed that achieving data quality and consistency remains a pressing technical challenge, impacting even the most technological advanced organizations.

Strategic Approaches to Real-Time Data

Success in utilizing real-time data largely depends on operational practices rather than just on budget or staffing levels. Notably, 76% of leaders reported running real-time data across most or all of their operations, a stark contrast to just 7% among emerging organizations. Moreover, leaders consistently opt for a unified platform that consolidates their data tools instead of relying on a fragmented array of applications. By embedding real-time expertise within their teams, these pioneers in data utilization showcase how operational practices significantly enhance their readiness for AI and real-time data integration.

Maturity and Investment Trends

As organizations mature in their adoption of agentic AI, a reciprocal growth pattern emerges: production deployments of AI agents and successful project outcomes both rise simultaneously among leaders. In fact, the study indicates that leaders manage to nearly triple both metrics over their less advanced counterparts. Investment trends also mirror this growth, with an impressive 90% of surveyed organizations claiming that their investments in real-time data have met or exceeded initial expectations. Looking ahead, 94% to 97% of them plan to boost spending on both real-time data analytics and AI technologies.

Conclusion

The survey highlights a critical shift, with real-time data transitioning from a technical concern to a strategic priority across various industries. Carlos M. González, Research Manager at IDC, emphasizes this transition, stating, "Organizations identify agentic AI as the primary motivator for requiring real-time data, indicating that real-time data has become foundational infrastructure for AI rather than merely an analytical tool."

For organizations aiming to enhance their AI capabilities, this study serves as a clarion call: investing in real-time data not only streamlines operations but also positions enterprises for success in a rapidly evolving business landscape. To delve deeper into the findings, download the full IDC InfoBrief and join Solace and IDC for a webinar on September 23.