In this contributed article, Peo Lehto, Head of Solution Area OSS, Ericsson Digital Services. Ericsson Digital Services, discusses Intelligent Automation – the use of AI and machine learning tools and systems – as a way to automate at scale, help service providers make sense of their data lakes, and do more with the same network operations and engineering resources.
Drones and Data: How Utility Companies May Need to Rethink their Approach to Data Management
In this special guest feature, Ilkka Hiidenheimo, Sharper Shape CEO, provides detail about managing the robust data sets generated from drone utility inspections. While leveraging drone technology is an enormous benefit, it requires capabilities like AI and machine learning and better workflow processes to turn complex information into not only clear and simple, but also actionable – ultimately revolutionizing processes that will lead to long-term, beneficial results.
How AI/ML Help Secure the US Power Grid Infrastructure
In this contributed article, William Ellis, discusses the U.S. power grid infrastructure and how artificial intelligence and machine learning can be leveraged to help secure the power grid, its infrastructure, and customers nationwide. During a time of widespread service disruptions, decisions will have to be made in terms of how to route resources. Smart systems can help to monitor the situation and provide intelligent recommendations, but that data must be used effectively by all involved.
Utilities and Big Data: The Rushed Evolution
In this special guest feature, Ed Cuoco is the Director of Data Science at The Weather Company, takes a look at big data from the perspective of the utility company and how they can no longer serve their own or their stakeholders’ interests without smarter insights at scale and in real time.
Water Industry Gets Smart on Big Data
The water and wastewater industry is in transition to a digital revolution that has the potential to transform the industry from the use of data-driven technologies, with utility sector spending dwarfing the industrial market. This is according to a new report by Global Water Intelligence (GWI) that provides a detailed guide to the opportunities in this smart market.
When Hadoop Simply Isn’t Enough: How to Purpose-Build Architecture for Industrial Data
Hadoop, while beneficial in many IT environments, unfortunately, will not work with the massive amounts of data generated in most industrial environments. This contributed article by Alex Clark, founder and Chief Software Architect at Bit Stew Systems, asks what if we remove this from our industrial planning, what does the future industrial data architecture look like?
Interview: Tarmin Manages Data Overload with Data Defined Storage
“GridBank provides a comprehensive information governance framework to help organizations meet compliance regulations for retention management and disposal, and to mitigate data related risk by using end-to-end data protection. The GridBank Metabase, a distributed metadata repository, enables enterprise search and discovery and provides integration for big data analytics tools for increased data insights.”
MongoDB to Unlock Insights from Real-time Smart Grid Data
Silver Spring Networks, Inc. (NYSE: SSNI), a leading networking and solutions provider for smart energy networks, is building on the MongoDB database to seamlessly capture and store high volumes of rapidly changing, complex machine-to-machine (M2M) data for its new SilverLink™ Sensor Network
Interview: A3CUBE Sets Sights on the Emerging Arena of High Performance Data
“Our architecture permits tens of thousands of SSDs to be connected together and accessed in a parallel and concurrent way using direct mapping of memory accesses from a local machine to the I/O bus and memory of a remote machine. This feature allows for data transmission between local and remote system memories without the use of operating system services. It also enables a unique linear scalability of SSDs bandwidth and IOPS and consequently allows computation and data access to scale together linearly. This totally eliminates the bottleneck in bandwidth or IOPS and provides optimal dimensions of performance, capacity, and computation with an unmatched flexibility at a fraction of the costs.”
Amazon Flow
Amazon.com Inc. recently updated its iPhone app with a cool new feature that lets user find items in the online store by simply holding them in front of the phone’s camera. The feature is called “Flow” and is designed to expedite searching for products rather than typing a name or scanning a bar code.