Enterprise AI is redefining the essence of competitive advantage in the cloud era. Organizations that harness vast oceans of data, extract actionable insights at lightning speed and deploy sophisticated AI solutions are transforming customer experiences and operational efficiency. The winners of tomorrow are making critical moves today, laying the groundwork for a cloud-based, enterprise AI-powered future that will leave laggards scrambling to catch up.
At the heart of this AI-driven transformation lies a critical imperative: moving data to the cloud and making it accessible across the enterprise. This journey, while complex, is essential for unleashing AI's full potential and driving innovation.
Enbridge, North America's largest natural gas utility, exemplifies the transformative power of this approach. By moving 74% of its workloads to the cloud, Enbridge achieved a 66% reduction in its carbon footprint. This transition led to a 70% decrease in critical service outages and boosted overall infrastructure availability to 99.5%. These improvements positioned Enbridge to leverage advanced AI solutions for business intelligence and innovation across its operations.
Once data resides in the cloud, democratizing access becomes the next critical step. Breaking down data silos enables broader access across the organization, fostering a culture of data-driven decision making and innovation.
Read the full article here on Forbes Technology Council: The Enterprise AI Imperative: Unleashing Business Innovation Through Cloud-Powered Intelligence
Next Pathway is an enterprise AI company specializing in automated code migration and cloud modernization. Its agentic AI platform, powered by proprietary small language models, takes any legacy codebase through the full migration lifecycle: analyzing existing code, planning modernization, executing conversion, validating outputs, and deploying to a modern cloud environment with minimal human intervention. The result is a portfolio of AI-enabled, governed data products enriched with semantic context, giving enterprises a faster, lower-risk path from legacy systems to the cloud.