Businesses are at a crossroads: They recognize the importance of prioritizing business data and data management strategies, but they don’t necessarily know where to start or what success looks like. A study from ESG found that almost three quarters (74%) of organizations acknowledge that their data management capabilities aren’t in step with business requirements.
Thanks to the Internet of Things (IoT) and other initiatives, organizations are generating volumes of data at the edge, but they lack the proper strategy, infrastructure, and processes to act on that data in real-time. At the same time, artificial intelligence (AI) and analytics are central to data-first modernization, yet most companies have yet to master how to scale AI beyond tactical use cases or pilots.
“In an era where data is exploding at the edge and organizations are expected to leverage that data to drive new innovations with AI and ML, it’s critical to process that data where it makes the most sense,” says Richard Amos, HPE global transformation strategist. “Additionally, a hybrid cloud approach allows an organization to drive strategy based on business outcome needs, not just location.”