With more than one-third of IT Professionals citing "moving faster" as their top goal for 2018, and an overwhelming 99 percent of IT and business decision makers noticing an increasing pace of change in today's connected world, it's clear that speed has become intrinsically linked to business success.
For companies looking to compete in the digital economy, this pace of transformation is being driven by their customers and requires speedy software releases, agility through cloud services, and automation.
Speed becomes a primary business objective
As we look ahead to 2018, we therefore expect businesses to place increased focus on accelerating the development and deployment of applications and services, while maintaining quality and cutting costs: juxtaposing tasks. To achieve this, more and more companies will look to elastically expand their infrastructure by moving compute applications and storage workloads to the cloud and delivering services through hybrid, on-prem and public cloud environments.
In the rush to embrace digital transformation, organizations must ensure they don't lose sight of whether the hybrid cloud is delivering real business value
However, in the rush to embrace digital transformation (DX), organizations must ensure they don't lose sight of whether the hybrid cloud is delivering real business value. To best evaluate its effectiveness, it is imperative that organizations continuously monitor their entire infrastructure to provide a 360 view of business services, infrastructure and their interdependencies, which will enable them to quickly identify current or potential problems.
Assuring networks and applications will be paramount
DX will also power a surge in momentum for the IoT, with the number of connected devices predicted to reach 23.14 billion by 2018. We expect to see the IoT continue to touch all aspects of the digital economy, unlocking enormous benefits in a wide range of sectors, from agriculture to automotive.
With more and more IoT technologies underpinning critical applications, such as disaster monitoring and military situational awareness, and the amount of IoT devices and use cases increasing, businesses will be under increasing pressure to maintain connectivity and communication across a myriad of wireless and wired, physical and virtual, local and wide area networks. In 2018, assured delivery of IoT services will therefore become key determiners for success.
As operators in the US and around the world take steps towards delivering 5G connectivity, IoT applications and services would significantly benefit by utilizing the 5G technology to achieve a truly ubiquitous, reliable, scalable, and cost-efficient Device-to-Device connectivity between nearby mobiles. This will support use cases such as vehicle-to-vehicle communications, public safety, or mobile data offloading, as well as sensors deployed throughout a smart city. However, for 5G to be truly heralded a success, organizations and governments will need to know how to assure availability, reliability, responsiveness and security of applications and services delivered across their networks.
Environmental data comes to the forefront
With the amount of data in the world predicted to increase at least 50 fold between 2010 and 2020, we'll also start to see growing emphasis being placed on how that data is stored. Collecting large volumes of raw log data from multiple applications and infrastructure components and sending it to a central location for storage and processing, for example, increases the size and cost of storage and communications over the Wide Area Network (WAN).
Furthermore, the surging demand for data has environmental implications; by 2020, 12 percent of the world's energy consumption will be taken by our digital ecosystem, and this is expected to grow annually at approximately 7 percent until 2030. As these high costs and inefficiencies could hugely undermine the advantages big data brings, we expect to see more and more businesses take a smarter approach to data collection, organization and processing, saving not only on storage costs, but also on communications, electricity and raw material, beginning the journey towards a greener and brighter data-driven future.
Data gets smarter
By utilizing smart data, which distills the essence of the traffic flows that traverse the service delivery infrastructure in a distributed fashion, close to the source, and compresses it into metadata, businesses can ensure they only store the information that holds real value. This information can then be used to gain meaningful and actionable insights, helping organizations to gain a competitive edge while driving efficiencies by enabling data to be rapidly compressed, and substantially reducing the volume of data stored by an order of magnitude or more.
Smart data is already used to power a range of service, operations and business analytics across different industries including automotive, manufacturing and healthcare, and we expect its usage to increase dramatically in 2018. With the proliferation of IoT sensors, mobile devices and digital services creating an abundance of data used by the various applications and services that rely on hybrid cloud infrastructure, having the ability to convert smart data into meaningful and actionable IT and business insights, will help corporations to thrive in 2018 and beyond.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...