It has been an eventful 2017. We are in an era of technological change right now, and I see this taking shape in a few ways next year, specifically as it relates to chief technology officers. We are seeing organizations like the Pentagon make a shift toward open source computing as they seek more security and aim to adopt new tech at a fast clip, we’re realizing that the governance you place on your data has big implications for our consumers and partners as a result of multiple data breaches this year, and we’re finally seeing the tipping point of cloud computing and AI/machine learning as real-world implications are being noticed across the globe.
Next year’s forecast is looking just as exciting — if not more dynamic!
Cloud Storage May Be Too Much Of A Good Thing
The computing industry is cloudy right now. As organizations seek to manage their increasing data and compute requirements, they’ll reap benefits and hindrances that come along with utilizing multiple clouds or hybrid cloud environments — cost and governance being the two most imperative factors.
We still have not figured out how to manage the deluge of data we’re being drowned in every day. But, as our applications and services from years ago transition out and are in dire need of new storage systems, I believe we’ll need to figure it out — and fast. This will be a big job for CTOs in 2018. Specifically, we’ll face the question “is cloud storage too much of a good thing?”
As the cost of ownership for data assets continues to increase, despite one, two or three clouds being used, organizations may find that they embark on an ever-increasing IT spend journey that manages their multi-cloud environments, their on-premises environments and more — allowing them even less budget to dedicate to innovation. I believe we’ll see this come to a head in 2018.
2018 Will Be The Data Governance Tipping Point
High profile data breaches illuminated the importance of data governance this year. Before I get into why I see governance being a key theme in 2018, let’s define what data governance entails. Data governance involves interpreting and tagging data to understand where it came from, who has access to it, who accessed it, what the access created in new data and where it went. It creates a notion of traceability, contextual data access, privacy and security (collectively “provenance”).