Most discussions about emerging technology tend to focus on the individual technologies that are working their way towards adoption. CompTIA’s research series on emerging tech has featured AI, blockchain, virtual reality/augmented reality and more.
As businesses reconsider how technology impacts their operations and strategies, it is natural for them to concentrate more on the future trends that have potential to be disruptive. The problem comes in finding the resources to dedicate to such an effort. Treating “emerging technology” as a collection of discrete fields to be dissected individually creates bottlenecks and exacerbates skill gaps.
Conceptually, the smart cities trend can be described as the technology application to solve problems within cities and communities. Most citizens, businesses and local government leadership can readily cite visible problems such as traffic congestion or parking headaches that could benefit from technology. This research which based on opinions of citizens and government, provides further insight into how smart cities and communities are developing and what to expect going forward.
Elevating the understanding of smart city concepts will take time; ‘bridge technologies’ can help.
Making the leap from digital to smart requires advances on my fronts.
Data is critical to smart city success, and it is one of the most challenging components to get right.
Ensuring smart cities are cyber-safe will require resources and a commitment to shared responsibility.
The Internet of Things (IoT) is an architectural paradigm that combines physical devices, massive network connectivity, data accumulation and analysis, and operational control informed by analytics models that enhance and optimize cross-system interoperation. A successful IoT deployment can be leveraged to improve the extended system’s performance. This checklist explores the fundamental aspects of the data architecture necessary for IoT success. It examines the requirement that enable rapid adaptation of environment for automated decision making.
Here are the 8 key suggestions to evolve your data architecture for an IoT environment:
Envision, design, and govern the flow of data in motion
Leverage intelligent stream processing
Develop a metadata and services catalog
Enable version management to support agile development and deployment
Simplify and secure data ingestion
Employ adaptive analytics modelling
Push streaming analytics models to the edge
Embed continuous business performance monitoring
Download this report to understand more about the aspects of data architecture for an IoT environment.
This report provides a platform to look to the future and
identify emerging trends and their impact on the IT service management
profession. Surveys, interviews and roundtables had been conducted to collect
views on the future possibility. The vast majority of practitioners – 92% –
agree that professionals will need a much stronger strategic vision aligned to
the wider business.
Other findings include:
91% agree that cyber-attacks, security breaches, and hacking will continue to increase and present a bigger threat to business
90% agree new technologies will generate new risks that will need to managed carefully
89% think that an increase in automation will take over the repetitive tasks of IT, creating more time for service managers to focus on delivering more value to their organizations.
Bonus Tip: Every organization depends on reliable and secure IT systems. Whether you are dealing with day-to-day business activities or innovative projects, a fully functioning IT department is always an essential prerequisite for success. Learn to organize, optimnize and manage your IT departments with the best practices on the market (Agile, ITIL, Lean IT and DevOps).
The practice of enterprise architecture planning is usually
found only in the largest organizations and government agencies. The complexity
of massive IT efforts is often addressed with equally complex planning
strategies, and smaller businesses do not have the resources or the appetite
for such heavy investments. Today, though, the critical nature of technology
and radically new models for IT delivery are making architectural planning a
necessity to build success in a digital economy.
This study looks at the current state of enterprise
Planning is done formally or informally?
What steps are companies taking to build for the future?
What hurdles are standing in the way?
How are cloud computing and IoT impacting architectures?
Download this report to understand better on the enterprise architecture planning.
Bonus Tip: What will it take for you to pass your certification exam? Set yourself up for success with the right mix of certification training to best fit your learning style and timeline. Whether you prefer self-study or instructor-led training, CompTIA training has got you covered.