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Don’t Just Expect More AI In 2025—Expect Better AI, Fueled By Real-Time Data
As we approach the end of 2024 and the dawn of a new year, it’s essential to acknowledge that AI has made significant strides in 2024. The advent of agentic AI architecture has been particularly groundbreaking, showcasing exceptional levels of potential in early prototypes. While this is undoubtedly an exciting development, I firmly believe that 2025 will witness not just more AI, but better AI, fueled by real-time data.
In the coming year, organizations will be under immense pressure to supply AI with data. The ability to feed intelligence to engineering teams through seamless automation and real-time responsiveness will require a shift towards a “streaming-first” approach in application design and deployment. This significant change will necessitate rethinking how applications communicate with each other and with the entire business.
One of the most critical implications of this trend is the adoption of self-service help desks by 50% of businesses, as predicted by Forrester. Real-time AI and automation will be essential in enhancing customer interactions, replacing traditional request-response communication models with more asynchronous streaming-based architectures.
Moreover, we can expect a significant increase in data sharing across business domains, fostering collaboration and innovation within organizations. As real-time data becomes the foundation for delivering on an AI strategy, businesses must treat this data as a product to unlock its true value. The ability to share or sell this data both internally and externally will become a premium offering, enabling enterprises to find new revenue streams.
The regulatory landscape surrounding AI is expected to continue evolving, forcing organizations to prioritize flexibility, resilience, and adaptability in their strategies. Cloud-agnostic solutions that enable rapid responses to changing market dynamics and regulatory shifts will be crucial in maintaining competitive advantages.
Edge computing will play a pivotal role in empowering full automation with AI in remote areas of the business, such as distribution centers and manufacturing plants. By leveraging this approach, data processing across an entire centralized business network can be accelerated, reducing service errors and improving overall efficiency.
Open-source technologies, APIs, and tools will also gain increased prominence as businesses seek more vendor-agnostic and cloud-agnostic solutions. This shift towards open-source adoption will further accelerate hyper-personalization, paving the way for a hyper-connected business model that prioritizes contextualized insights and actions.
As we move forward in 2025, it’s essential to acknowledge that meeting growing consumer demands for personalized experiences will require new innovative strategies like leveraging real-time data. To achieve this, businesses must aggressively connect their IT applications and architectures across all parts of the organization through real-time data streams.
Real-time data will unlock previously isolated AI, analytics, and software architectures, enabling faster response times when addressing customer needs. Additionally, it will fuel automation by providing continuous, connected data flow throughout business operations, ultimately unlocking innovative solutions that cater to growing demands for personalization.
In 2025, IT leaders must prioritize real-time data streaming to unlock the potential of emerging technologies like AI and cloud solutions. This shift presents both challenges and opportunities, but those who focus on building strong foundations will be better equipped to establish a lasting competitive advantage.
By embracing this vision, we can expect a new era of automation and innovation in 2025.
Source: http://www.forbes.com
