Move over edge computing, the AI revolution is here. A global community of businesses, academia, and freelancers are bringing AI to the DevOps masses. Although it hasn’t made its way to the CDN industry yet, its coming. Right now, its
The rapid pace of technology innovation is simply proving too much for some vendors. With so many new technologies hitting the market at once, as in those technologies that become the building blocks for new features, trying to build the
Anodot is a Sunnyvale startup that is making waves in the emerging AIOps industry. AIOps, as it is known, is the next generation of APM (application performance management) and network performance monitoring that leverages machine learning to recognize patterns and
A Brief History of Machine Learning at Uber Uber has been working on machine learning (ML) for several years, first introducing Michelangelo, its centerpiece machine learning platform, in September 2017. The company describes its overall contribution to the space of
AI, the Edge and the IoT Frontier IoT has shifted away from connecting simple everyday devices such as cameras, thermostats and light bulbs to smart assistants, smart appliances and live streaming baby monitors. The data gleaned from the new wave
Algorithmia is an AI startup that offers access to a catalog of 3,500 algorithms, functions and machine-learning models in a widespread bid to change how algorithms are used. The startup has received funding from Google; Anna Patterson, VP of Engineering
At the AWS re:Invent Conference last week in Las Vegas, a number of new products were launched. These ranged from Elastic Inference and a new machine learning chip in the machine learning space to new cloud computing and serverless capabilities
Earlier this year, Google announced its Learn2Compress technology as part of its ML Kit. Google’s AI research team developed Learn2Compress to power its automatic model compression service. The innovative Learn2Compress technique enables the reduction of large AI models into small
Today, we’re going to look at the TensorFlow ecosystem in some depth. As an open-source ML framework released and developed by Google, it has built a formidable community in a relatively short period of time and has demonstrated some very
Last week, Google released its new reinforcement learning (RL) framework, Dopamine, based on its machine learning library, Tensorflow. The search giant has open sourced the innovative new framework to GitHub where it is now openly available. “Inspired by one of
The main product of cybersecurity company Distil Networks is bot detection and mitigation. The San Francisco HQ’ed enterprise uses a range of detection mechanisms to detect bad bots – from heuristics deployed by its security team to automated systems that
Last month, we wrote a summary of the latest Google Cloud Next conference held in San Francisco. Not only did Google highlight its latest major investments in infrastructure, but the search giant went into detail about how it is pushing
Cisco has long made a point of acquiring subsidiaries to extend its specializations into specific tech markets, including in recent years, energy management, machine learning, the Internet of Things (IoT) and cybersecurity. In so doing, the multinational tech conglomerate is
Avi Networks, the Santa Clara, CA-headquartered software-only application delivery platform, recently launched new features that turn its next-generation technology into a fully-fledged application delivery platform. Its latest features employ machine learning and augment Avi’s integration with the Ansible and Terraform
In a recent Netflix blog by Chaitanya Ekanadham, Manager, Analytics and Data Science, Ekanadham explained some of the technical challenges the company faces and why machine learning and statistical models are helping them to overcome these challenges. Netflix currently has over
