Our understanding of transportation has transformed considerably over the last decade due to several converging market forces, social trends and advancements in technology. Today, transportation is more complex than it has ever been, but it’s on the brink of exciting new opportunities. The most transformative process in transportation and one which holds the potential to reinvent the experiences for commuters and transport agencies is the inception of Mobility as a Service (MaaS). But what exactly is it, and can it really define the future of transport? Unlocking the Mystery of MaaS MaaS can be characterised as a better, faster, more connected and personal transportation that can bring benefits to cities, communities and transit agencies. Yet, defining MaaS on a more granular level is often a contentious subject. Conversations about MaaS are happening everywhere from government chambers to start-up product planning sessions – but all with varying … [Read more...] about Does Mobility as a Service hold the answer to the future of transport?
Machine learning as a service
Machine learning is one of the hottest disciplines in computer science today. So hot, in fact, that cloud providers are doing a good and rapidly growing business in machine-learning-as-a-service (MLaaS). But these services come with a caveat: all the training data must be revealed to the service operator. Even if the service operator does not intentionally access the data, someone with nefarious motives may. Or their may be legal reasons to preserve privacy, such as with health data. In a recent paper, Chiron: Privacy-preserving Machine Learning as a Service Tyler Hunt, of the University of Texas, and others, presents a system that preserves privacy while enabling the use of cloud MLaaS. Privacy cuts both ways While users may not wish to reveal their training data, the service providers have privacy concerns of their own. They typically do not allow customers to see the algorithms under their MLaaS technology. To that end, . . . Chiron conceals the training data from the service … [Read more...] about Can we teach Machine Learning privacy?
News IBM Provides Deep Learning as a Service The latest effort to make artificial intelligence (AI) programming more accessible to developers in the face of an industry-wide skills shortage comes from IBM, which today announced Deep Learning as a Service. The new service comes with Watson Studio, a cloud-native set of tools that provide an environment for building, training and deploying AI models that work with various types of data. Furthermore, IBM said it's open sourcing a core component of the new service, called the Fabric for Deep Learning (or FfDL, pronounced "fiddle"), which is now on GitHub. Industry experts have predicted AI will be the most disruptive technology over the next decade, and numerous efforts are underway to get AI programming power into the hands of the developer masses because of a lack of specialized AI skills. For example, Alteryx Inc., a data science and analytics software maker based in Irvine, Calif., this month released Alteryx Promote, a component of … [Read more...] about IBM Provides Deep Learning as a Service — ADTmag
LinkedIn recently published a report naming the fastest growing jobs in the US based on the site’s data. The social networking site compared data from 2012 and from 2017 to complete the report. The top two spots were machine learning jobs, which grew by 9.8X in the past five years, and data scientist, which grew 6.5X since 2012. In all the top ten positions, four relate to data science and three out of those four are in the top five spots. So why are data science positions, and specifically machine learning positions, growing so fast?While reports and publications consistently name data science as one of the top jobs in the country, LinkedIn’s report is unique in that is shows the dramatic growth in this position. Here are four reasons why machine learning and data science are the fastest growing jobs.The amount of data has skyrocketedNot only has roughly 90 percent of the data created in the last two years, but current data output is 2.5 quintillion bytes of data daily. To … [Read more...] about Why data science and machine learning are the fastest growing jobs in the US
Linux containers have taken infrastructure computing by storm. What started with Linux VServer, OpenVZ, cgroups, and LXC has gained momentum with the rise of Docker. You can think of a container as a lightweight VM that virtualizes the Linux kernel instead of hardware. This up-leveling of the virtualization brings in better performance, high density, and portability across clouds, whether public, private, or hybrid.Containers are like VMs in many respects but are typically used for running individual daemons or services rather than multiple services or monolithic applications. Containers make creating and upgrading applications easy, but also introduce complexity via the increased number of instances and interdependencies to manage. This complexity gave rise to container orchestration systems like Mesos, Docker Swarm, and Kubernetes.Enter KubernetesAn open source container orchestration system born out of Google’s internal infrastructure and experience running containers, … [Read more...] about Simplify container deployments with Kubernetes as a service