Key 2018 IT Trends You Need to Know
Posted in tech
No one likes to be the last to know. Especially when it comes to the macro trends reshaping the IT landscape right now. Of course, there will be early and late adopters, and even those who hold out and get left behind, yet few people would argue against the fact that change is an inevitable part of IT life. We’ve compiled this short list of top 2018 IT trends through discussions with customers and industry experts. Take note, and position yourself to lead your company through the big shifts in how enterprises manage their data in 2018.
Artificial intelligence (AI) and Machine Learning (ML) will see increasing deployment in production environments in the year ahead. Enterprises seeking a competitive edge will be putting AI and ML to the test to tackle challenges that humans can’t keep up with manually anymore. AI and ML will help IT manage increasing volumes of data across diverse data sources, determine relevant patterns in data access, and automate responses to these findings. To get a leg up on how you can make this trend work for you, learn how DataSphere implements machine learning to automate intelligent data management here.
Cloud adoption gets easier and spreads cross-platform
Use of private and public clouds will get smarter and grow dramatically. Gartner expects public cloud revenue to increase to $305.8 billion dollars in 2018, from $260.2 billion in 2017. At the same time, storage vendors including NetApp, Scality, and HGST are delivering feature rich object storage products for cost-effective on-premises archival. As enterprises seek to cost-effectively address data growth challenges, managing data through software will be key. With DataSphere, you can seamlessly integrate primary file storage systems with both on-premises and off-premises cloud/object stores, and automate the placement of data according to polcies you create.
Clouds thicken (with features)
Dramatic improvements in cloud services will continue. Cloud providers will knock down obstacles that keeps much of today’s data on-premises. More and more end-to-end functionality will be offered “as-a-service.” At the same time, many enterprises will offer even on-premises resources, “as-a-service” with automated chargeback and showback. DataSphere supports “as-a-service” frameworks through policies that ensure service levels for performance, protection, and price. Learn how we do it here.
SDS strengthens, moves towards clarity in definition
As the market begins to determine the meaning of ”software-defined,” adoption of SDS will spread. Software-defined solutions help enterprises manage rapid data growth while keeping costs in check by helping to put enterprise resources to work as efficiently as possible. Enterprises will make use of the latest CPU and GPU technologies to increase compute performance density to support taxing AI workloads, while minimizing server scale out; software defined storage (SDS) will automatically place data on the ideal storage for IT-defined policies; software-defined networking (SDN) will automatically monitor and adapt network configurations to meet business needs; and virtualization will be heavily used by enterprises and cloud providers alike to bundle resources together and ensure proper locality to streamline deployment and service levels. DataSphere is a software-defined platform that automatically ensures storage resources meet data requirements. This blog answers why Management SDS is on Gartner’s growth list.
Understanding the key technology trends already taking shape in 2018 can enable you to proactively address them and positon you and your enterprise for great success in coming year. To learn more about how DataSphere automates intelligent data management through machine learning, connect with us at email@example.com to schedule a meeting or demo.