5 reasons why it’s time to evolutionize your network, now.
We’ve reached a tipping point. Carrying on with legacy network infrastructure is no longer a long-term option.
By Chris Newall – While the benefits of modernizing networks are clear – reduce network footprint, energy and support costs; scale to support new apps, services and use cases; and enhance end-customer experience – there are also significant change management and service continuity challenges to get over. In an attempt to avoid disruption, or in an attempt to extend ROI on their existing assets, many service providers simply limp on with their legacy infrastructure.
This common strategy of delaying modernization projects and building new overlay networks on old infrastructure has more or less worked until now, but time is running out.
So, what’s changed and why is the network modernization conversation more urgent now?
There are lots of reasons why many are now at a critical point with legacy infrastructure, and why network modernization is now a matter of urgency:
- Legacy networks are increasing technology and business risks
- Legacy skills are dying out, leaving your operations vulnerable
- High network costs are eating into already slender margins
- New apps need more capacity than legacy networks can provide
- Unpredictable demand peaks are getting bigger and more frequent
Most services providers have been talking about network modernisation with vendors and partners for years. We all know that replacing legacy networks with modern, efficient, scalable infrastructure can help you reduce your network footprint, reduce energy and support costs, and scale on demand to support bandwidth-intensive apps and use cases. more>
Posted in Broadband, Business, Economic development, Economy, Education, How to, Net, Science, Technology
Tagged Broadband, Business improvement, Ciena, Fiber optics, Internet, Skills, Technology
Siemens Case Study: Lean Digital Factory Project
By Gunter Beitinger – In October 2017, Siemens launched their Lean Digital Factory (LDF) program. Combining a group of experts from different business functions and technology units, its purpose is to define a conceptual holistic digital transformation roadmap for all factories of the operating company Digital Industries (DI).
To fully capture the value of using big data in manufacturing, the plants of DI needed to have a flexible data architecture which enabled different internal and external users to extract maximum value from the data ecosystem. Here, the Industrial Edge layer comes into the picture, which processes data close to the sensors and data source (figure).
The Industrial Edge and data lake concept will enable a more powerful solution than any other data storage and utilization concept:
The MDP will be a colossal storage area for all manufacturing data and will be tremendously powerful for all user levels
The MDP data platform is a centralized and indexed aggregation of distributed organized datasets
Big data will be stored in the MDP independently of its later use, this means as raw data
In combination with Industrial Edge, the MDP is the pre-requisite for effective and scalable cloud computing and machine learning
The Industrial Edge is used in this architecture for multiple purposes like data ingestion, pre-preparation, security-gate, real-time decisions.
Highly integrated, but module and service-based ecosystem functionalities.
In DI, it can be challenging to harness the potential of digitalization at full scale due to installed proprietary software solutions, customized processes, standardized interfaces and mixed technologies. However, at Siemens, this doesn’t mean that we ran a large standardization program before leveraging the possibilities of data analytics and predictive maintenance in our plants.
To get rubber on the road at large scale, we required an architectural concept which allowed us to develop applications, scale up and transfer solutions from plant to plant, from engineering to shop floor as well as supplier to customer and reuse identified process insights from one application to another. more>
Posted in Business, Economic development, Economy, Education, How to, Net, Science, Technology
Tagged Business improvement, Internet, Manufacturing, PLM, Product lifecycle management, Productivity, Siemens, Technology