Oracle on Tuesday rolled out the latest version of Exadata, the platform for running Oracle database. The new Exadata X9M platforms are faster and more cost effective than previous generations. The Exadata platforms include versions for on-premise, in the Oracle public cloud and for Oracle's hybrid Cloud@customer offering. The ability to run the same platform in the cloud, on premise or in a hybrid environments sets it apart from the competition, Oracle says -- as does the fast online transaction processing (OLTP) it offers. With the X9M, "we keep doing what we're really good at," Juan Loaiza, Oracle's EVP of Mission-Critical Database Technologies, said to reporters.
PointClickCare is the leading North American cloud-based healthcare software for the acute and long-term and post-acute care markets. For over 20 years, the company has held the same vision – to help the world care for vulnerable populations. Since its inception, PointClickCare has grown exponentially with over 1,700 employees today all working towards impacting the lives of millions. Recognized by Forbes as one of the Top 100 Private Cloud Companies and acknowledged by Waterstone Human Capital as Canada's Most Admired Corporate Culture, PointClickCare leads the way in creating cloud-based software. Their shared mission to support vulnerable populations is allowing PointClickCare and Collective Medical to connect disparate points of care at scale faster than anyone else in the market.
Edge computing companies offer a more efficient way to process and transmit data, solving two problems: the need for more IT infrastructure, and the massive amounts of unused data generated by edge points. With the rise of 5G networks, some believe edge computing is the next evolution in this space. If you're trying to find the best edge computing company for your business, this article will help you narrow your search. With edge computing, companies gain near real-time insights with less latency and lower cloud server bandwidth usage. With edge computing, companies gain near real-time insights with less latency and lower bandwidth usage.
Jina is a neural search framework that empowers anyone to build SOTA & scalable deep learning search applications in minutes. Save time - The design pattern of neural search systems, from zero to a production-ready system in minutes. Fast & cloud-native - Distributed architecture from day one, scalable & cloud-native by design: enjoy containerizing, streaming, paralleling, sharding, async scheduling, HTTP/gRPC/WebSocket protocol. Own your stack - Keep end-to-end stack ownership of your solution, avoid integration pitfalls you get with fragmented, multi-vendor, generic legacy tools. Document, Executor, and Flow are three fundamental concepts in Jina.
Creating a programmable software infrastructure for telecommunication operations promises to reduce both the capital expenditure (CAPEX) and the operational expenses (OPEX) of the 5G telecommunications operators. What is exciting to many of us who work in this space is that the convergence of telecommunications, the cloud, and edge infrastructures will open up opportunities for new innovations and revenue for both the telecommunications industry and the cloud ecosystem. In this blog, we focus on video, the dominant traffic type on the internet since the introduction of 4G networks. With 5G, not only will the volume of video traffic increase, but there will also be many new solutions for industries, from retail to manufacturing to healthcare and forest monitoring, infusing deep learning and AI for video analytics scenarios. The symbiotic evolution of video analytics and edge computing provides opportunities for operators to offer new services which they can monetize with their customers.
Deep Vision, a company known for developing AI processors as well as software suites for edge computing applications, has announced that it has raised $35 million through the investment fund Tiger Global. This second round of funding will primarily help the company expand the capabilities of its processor as well as its software. In addition to Tiger Global, Exfinity Venture Partners, Silicon Motion, and Western Digital also participated in the round. In 2021, the edge computing market reached 6.29 billion dollars against 4.68 billion dollars in 2020 according to a report by Grand View Research. A sector in which Deep Vision is involved since 2014.
Platform9, the leader in multi-cloud Kubernetes-as-a-Service, announced that Norna, a leading applied artificial intelligence company, experienced a ten-fold productivity improvement and a 78% total cost of operations (TCO) reduction after implementing Platform9's Managed Kubernetes-as-a-Service to power the company's retail fashion AI technology. Norna's unique AI-driven service helps fashion retailers with assortment planning and pricing through near real-time insights into changes in competitor pricing and offerings. Norna turned to Platform9 to solve two major challenges the company was facing in using a public cloud platform – the rapidly escalating costs for its public cloud-based infrastructure and the high demands on the team's time to manage its Kubernetes infrastructure. Platform9's Managed Kubernetes-as-a-Service provided Norna with the simplest and fastest path to running its production, cloud-native data harvesting, and processing applications, enabling Norna to quickly deploy Kubernetes clusters with a rich set of pre-built, cloud-native services and infrastructure plug-ins. Rather than having to spend valuable engineering cycles on Kubernetes platform operations, Norna is now able to focus on its mission of becoming the world leader in applied AI. "As AI specialists, we cannot have in-house talent spending time becoming production Kubernetes experts," said Jonas Saric, founder and CEO of Norna.
The battle for artificial intelligence hardware keeps moving through phases. Three years ago, chip startups such as Habana Labs, Graphcore, and Cerebras Systems grabbed the spotlight with special semiconductors designed expressly for deep learning. Those vendors then moved on to selling whole systems, with newcomers such as SambaNova Systems starting out with that premise. Now, the action is proceeding to a new phase, where vendors are partnering with cloud operators to challenge the entrenched place of Nvidia as the vendor of choice in cloud AI. Cerebras on Thursday announced a partnership with cloud operator Cirrascale to allow users to rent capacity on Cerebras's CS-2 AI machine running in Cirrascale cloud data centers.
MLOps is the machine learning operations counterpart to DevOps and DataOps. But, across the industry, definitions for MLOps can vary. Some see MLOps as focusing on ML experiment management. Others see the crux of MLOps as setting up CI/CD (continuous integration/continuous delivery) pipelines for models and data the same way DevOps does for code. Other vendors and customers believe MLOps should be focused on so-called feature engineering -- the specialized transformation process for the data used to train ML models.
Yet another company enters the Destiny family as the company announces the acquisition of the Danish communication and collaboration company ipvision. The acquisition enhances Destiny's position as a leading European, SME-focused, secure cloud communication provider. Daan De Wever, CEO Destiny: "We are excited to welcome ipvision to the Destiny family. Obviously, this will strengthen our position on the Danish market and in the Nordics in general. Therefore, ipvision is a perfect match with the Destiny Group, reinforcing our position as an innovative, client-centric and market leading UCaaS provider for SMEs in Europe."