What’s coming in 2019: Data growth and future-proof delivery solutions
2019 has only just begun – what will the year hold? Ring in the new year with tech predictions from the experts. Today, Sean Bowen, CEO of Push Technology, discusses what the multi-cloud is and how AI will develop throughout the year.
The concept of digital transformation and the technologies related to it will be prominent in many predictions for 2019, and for good reason. IDC predicts that digital transformation investment spending will be $5.9 trillion between 2018 to 2021 as businesses look to strengthen competitiveness and create new sources of revenue. However, digital transformation is not solely about technology change, it also impacts culture and job functions. For example, let’s look at the evolving role of AI, after all it is mandatory to mention AI in a 2019 prediction piece.
I expect to see a C-Level warming to AI deployments. AI delivers real-time insights and improves performance which has great strategic value as data volumes escalate, yet the majority of organizations, and in particular IT teams, have a silo-based mentality. So, I’m predicting a gradual cultural change in DevOps and IT Ops teams. To make best use of AI technologies, decision making needs to become more dynamic and collaborative – especially when you consider that IT systems are now more distributed and modular and change very quickly. In essence, AI will force IT teams to become less rigid and more entrepreneurial. This is a good thing.
However, transforming an organization isn’t something that happens overnight and I foresee many growing pains in terms of technology deployments. If you are moving away from legacy systems and embracing new cloud-based technologies then you have to expect a degree of failure. IT teams will be increasingly spending their time managing and learning about the complexities of new technologies.
SEE ALSO: The 4 key pillars of data management
Data is everywhere
In our world at Push Technology we see data volumes growing at an exponential rate, and guess what…this isn’t going to stop anytime soon. Data is everywhere: it clogs networks, it places increasing demands on storage and it is utilized in both cloud and hybrid environments. Data is key to companies being able to make good decisions about products, services, employees and strategy.
Therefore, it’s not surprising to find that many people believe data to be the new basis for competitive advantage. Next year we will continue to embrace a business landscape where data is fueling network-connected applications that power the IoT wave.
We are going to see further demand for scalable, future-proof data delivery solutions. Data management is complex. Data must be sent to and received from systems, devices, applications, IoT sensors, etc. So, as we move forward, a key objective for application development teams will be to establish, monitor, and manage data pipelines that extend Enterprise back-end systems through to the constantly proliferating array of end-user devices, connected over a variety of unreliable networks.
Platform intelligence & multi-cloud tech
To achieve this there will be an increasing requirement for platform intelligence. If a platform can “understand” data, and actively manage it, and only distribute what is required at the application level, then the solution is more powerful than any amount of hardware thrown at the data management problem.
Just to finish, expect to hear a lot more about multi-cloud. Companies are finding that a single cloud solution isn’t always appropriate. A mix of public, private and hybrid environments i.e. connected clouds is on the rise, critically though they need to be seamless, secure and reliable.