Technology consultancy firm Capgemini claims the insurance industry is facing a “fundamental threat” in the form of the combined forces unleashed by robotics and the internet of things (IoT).
In a recent study – World Insurance Report 2016 – into the growing trend of using robotic process automation for office administration procedures, as well as such things as cars equipped with telemetry devices which record every driving action, Capgemini found that expectations are changing within customers it calls “Gen Y” – those aged between 15 and 34. One example of a new company which has combined IoT and telemetry in vehicles is Veniam.
John Mullen, corporate vice president and global insurance leader for Capgemini, says: “By not providing adequate engagement for digitally-advanced customers, carriers [companies] run the risk of pushing them toward a growing population of market entrants and non-traditional technology-driven competitors.
The rail travel network in Norway has taken its very own “great leap forward” in technological terms with the introduction of new automation software.
The Norwegian National Rail Administration (NNRA, also known as Jernbaneverket) decided to perform a major upgrade to its infrastructure in order to modernize rail service delivery and optimize maintenance and performance.
Fujitsu has launched the Fujitsu Network Virtuora SP, which is software that automates tasks such as network system operation and maintenance.
By turning expertise with regard to tasks such as network systems operation and maintenance into scenarios that allow those tasks to be automated, Virtuora SP greatly reduces the time to start providing services to customers, as well as reducing operating costs.
Fujitsu aims to speed up customers’ network service provision through software-defined networking (SDN) technology, and by providing network DevOps solutions(1) such as Virtuora SP, Fujitsu says it can support the total lifecycle of network services.
After releasing its deep learning or machine learning library TensorFlow as open source software a few months ago, Google has now followed up by open sourcing TensorFlow Serving, which the company says makes it easier to take models into production.
Noah Fiedel, Google software engineer, writes on his blog: “TensorFlow Serving makes the process of taking a model into production easier and faster.
“It allows you to safely deploy new models and run experiments while keeping the same server architecture and APIs.”
TensorFlow Serving is written in C++ and supports Linux. Fidel says the software requires minimal overhead. “In our benchmarks we recoded approximately 100,000 queries per second per core on a 16 vCPU Intel Xeon E5 2.6 GHz machine, excluding gRPC and the TensorFlow inference processing time.”
Ansys software has launched the 17th version of its popular design application for engineers.
The company says, “Engineers across disciplines – from structures to fluids to electromagnetics to systems – will realize step-change improvements in the way they develop products using the newly released Ansys 17.0”.
Ansys adds that this next generation of the engineering simulation solution “sets the scene for the next quantum leaps in product development, enabling unprecedented advancements across an array of industry initiatives from smart devices to autonomous vehicles to more energy-efficient machines”.