Arun Murthy—CPO and co-founder of Hortonworks—who will also serve as CPO at Cloudera after the merger is complete—recently shared his thoughts on what’s ahead for 2019. According to Murthy, data at the edge, AI, IoT, open source, and cloud will all factor in strongly in organizations’ plans for analytics and governance.
Enterprises will get serious about the Edge - Beyond the firewall is still the Wild West for many organizations. It’s unknown, ungoverned, and not being taken full advantage of. More emphasis is going to be put on securing, managing and governing data at the edge and those that do this well will have a competitive advantage over those who only capture value from local data.
It’s AI Inside - On scale of 1 to 10 with 10 being AI/ML has matured for the enterprise, in 2019 we’ll be at earlier points in the scale. People-skills and processes needs to advance and getting tangible value needs to become simpler so that users can focus on business outcomes rather than complex technical details. And as data integrity is the foundation of successful ML/AI applications, organizations will need to implement a higher degree of governance and control over their data inputs when its volume is rising so quickly. Vendors will also adapt by increasingly leveraging AI/ML inside products to help drive value, and quickly.
IoT: Edge computing & cloud harmony - In typical industrial IoT scenarios, the analytics functions are distributed across various edge devices and cloud services. The more important fast reactions and real-time capabilities are, the more important becomes edge computing. The cloud, on the other hand, is the central data collection point for business analytics, machine learning and process control. Organizations will work out the right mix of edge computing and cloud look like as real-time analytics at the edge becomes ever more important to new dynamic and modern business models.
Open source business models will adapt in the cloud - Gartner predicts that 95% of IT will use open source in mission-critical portfolios in the future, as practical concerns around vendor lock-in, staffing challenges and evolving pricing models are forcing data and analytics leaders to re-evaluate their database management system investment as part of their larger data management strategy. Open source competition will heat in up in this era of cloud as vendors weigh consuming and contributing with their business models.