HYPER-CONVERGED INFRASTRUCTURE, APPLICATION INFRASTRUCTURE

Qii.AI and Skydio Enter Technology Partnership to Advance AI for Automated Infrastructure Inspections

Qii.AI | September 08, 2022 | Read time : 02:50 min

Qii.AI
Qii.AI, the provider of digital inspection software for infrastructure, announced today that it is partnering with Skydio, the leading U.S. drone manufacturer and world leader in autonomous flight, to make drone-powered inspection more efficient and effective for customers across North America.

Drones are powerful and cost-effective tools for inspection, and autonomy is the key to deploying these solutions for safe and reliable operation. Skydio's adaptive scanning software, Skydio 3D Scan™, extends the company's groundbreaking autonomous flight engine with advanced artificial intelligence (AI) skills that automate photographic data collection and mapping tasks ranging from infrastructure asset inspection to crime and accident scene reconstruction. Through this integration, customers using Skydio 3D Scan™ software will now be able to utilize Qii.AI's computer-assisted detection and quantification of corrosion-related defects. This integration will make inspection of large, complex structures significantly more efficient, while reducing the time required by inspectors to identify and classify defects.

"Skydio's computer vision navigation and autonomous data capture capabilities, combined with the Qii system's automatic corrosion, crack, and defect detection algorithms, are a leap forward in remote digital inspection possibilities."

Qii.AI CEO, Michael H. Cohen

Earlier this year, Qii.AI and Skydio demonstrated the power of this integration, enabling the automatic detection and quantification of corrosion on naval ship hulls for the Canadian Department of National Defense in Halifax, Canada. During the day-long demonstration, Skydio's drones captured data from two naval ships, using Skydio 3D Scan to capture the data used to create digital twins of both ships before seamlessly importing the models and data through the Skydio Cloud API into the Qii system for auto-detection, classification, and quantification of visible corrosion.

Commenting further on the agreement, Qii.AI's Cohen, said "Skydio is the clear leader in the small inspection drone market and a natural fit for Qii.AI's computer vision technology. We're proud and excited to be collaborating with such a great team and thrilled with the success of our joint-demonstration with the Canadian Department of National Defense."

To learn more about Qii.AI's corrosion detection capability and to see the results of the Qii.AI integration with Skydio 3D Scan in person, visit booth #823 at Commercial UAV Expo on September 6-8, 2022 at Caesars Forum, Las Vegas, or for more information, visit Qii.AI online at www.qii.ai.

About Qii.AI
Qii.AI is a web-based platform that empowers remote, collaborative inspections of critical infrastructure assets such as bridges, dams, and wind turbines.  Qii.AI uses computer vision and machine learning to improve the inspection process with computer-assisted detection and quantification of corrosion, cracking, delamination, and other problems in steel and concrete structures.  Qii.AI is the world's first visualization software for infrastructure inspection data that merges below the waterline (sonar) data with above-the-waterline (visual, thermal, lidar) data, to provide a single, wholistic view of your asset.

About Skydio
Skydio is the leading U.S. drone manufacturer and world leader in autonomous flight. Skydio leverages breakthrough AI to create the world's most intelligent flying machines for use by consumer, enterprise, and government customers. Founded in 2014, Skydio is made up of leading experts in AI, robotics, cameras, and electric vehicles from top companies, research labs, and universities from around the world. Skydio designs, assembles, and supports its products in the U.S. from its headquarters in Redwood City, CA, to offer the highest standards of supply chain and manufacturing security. Skydio is trusted by leading enterprises across a wide range of industry sectors and is backed by top investors and strategic partners including Andreessen Horowitz, Levitate Capital, Next47, IVP, Playground, and NVIDIA.

Spotlight

Initially, the IIoT or Industrial Internet of Things referred to an Industrial framework whereby a large number of machines or devices are interconnected and synchronized through the use of software tools and third platform technologies in an M2M (machine-to-machine) and the Internet of Things context.


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Despite disappointing numbers, NVIDIA's core business remains strong, as shown by Liftr Insights data

Liftr Insights | November 11, 2022

Liftr Insights, a pioneer in market intelligence driven by unique data, shows strength within NVIDIA's business. Recent disappointing activity with NVIDIA has drawn many eyes, but a deeper dive shows that one of their business units has remained strong while others have faltered. That part? Data center revenue. NVIDIA data center revenue revolves around GPU accelerators sold to public and private cloud centers. Public cloud providers continue to grow and expand their use of NVIDIA accelerators. Sales and deployment of components such as GPUs on public clouds providers are important indicators because public clouds mirror the needs of the larger semiconductor market, public and private. Liftr Insights, a provider of reliable data about public clouds and semiconductors, recently assessed the continued growth of NVIDIA's data center business. The data show that NVIDIA continues to dominate the accelerator space despite attempts by AMD, Intel and other providers to gain a foothold. Among those other contenders are the cloud providers themselves, designing and building their own accelerators as they have been doing with ARM-based CPUs. "We're proud to have over 40 months of data on companies like AMD, Intel, and NVIDIA that investors can use to track progress. "Particularly in uncertain times and when data center sales are a core part—the backbone—of these businesses." Tab Schadt, CEO of Liftr Insights The top six cloud providers, AWS, Azure, Google Cloud, Aliyun, Oracle Cloud, and Tencent Cloud, represent over 75% of the total public cloud market. These data show growth of NVIDIA in size and market share. "The data show effects from recent semiconductor backlog issues, but also the continued investment in companies like NVIDIA, despite the challenges," says Schadt. NVIDIA's most recent quarterly statement demonstrates that data center revenue represents 57% of NVIDIA's quarterly revenue, up from 41% the year prior. This percentage is expected to continue to increase in upcoming earnings reports. Since data center revenue represents the majority of NVIDIA's business, this segment is critical to monitor as the other markets for NVIDIA products (e.g., gaming, crypto mining) have become fickle. "Our customers see our objective data as a reliable indicator in uncertain times," says Schadt. "We look forward to seeing what the next rounds of data this month will signal." About Liftr Insights Liftr Insights generates reliable market intelligence using unique data, including details about configurations, components, deployment geo, and pricing for: Server processors: Intel Xeon, AMD EPYC, and AWS's Arm-based Graviton brands Datacenter compute accelerators: GPUs, FPGAs, TPUs, and AI chips from NVIDIA, Xilinx, Intel, AMD, AWS, and Google As shown on the Liftr Cloud Regions Map at https://bit.ly/LiftrCloudRegionsMap, among the companies tracked are Amazon Web Services, Microsoft Azure, Alibaba Cloud, Google Cloud, Oracle Cloud, and Tencent Cloud as well as semiconductor vendors AMD, Ampere, Intel, NVIDIA, and Xilinx. Liftr Insights subject matter experts translate company-specific service provider data into actionable alternative data. Market intelligence consumers can easily ingest this timely, standardized, and operationally-compliant information into their predictive financial models.

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Nutanix Accelerates Kubernetes Adoption in the Enterprise

Nutanix | October 27, 2022

Nutanix , a leader in hybrid multicloud computing, today announced new features in its Cloud Platform to accelerate the adoption of Kubernetes running both at scale and cost-effectively. The company announced broad support for leading Kubernetes container platforms, built-in infrastructure as code capabilities, and enhanced data services for modern applications. These new features allow DevOps teams to accelerate application delivery with the performance, governance, and flexibility of the Nutanix Cloud Platform while allowing customers to maintain control of their IT operating costs. “Kubernetes deployments are inherently dynamic and challenging to manage at scale. “Running Kubernetes container platforms cost-effectively at large scale requires developer-ready infrastructure that seamlessly adapts to changing requirements. Our expertise in simplifying infrastructure management while optimizing resources—both on-premises and in the public cloud—is now being applied to help enterprises adopt Kubernetes more quickly. The Nutanix Cloud Platform now supports a broad choice of Kubernetes container platforms, provides integrated data services for modern applications, and enables developers to provision Infrastructure as Code.” Thomas Cornely, SVP, Product Management, Nutanix According to Gartner, by 2027, 25% of all enterprise applications will run in containers, an increase from fewer than 10% in 20211. This is a significant challenge for many given most Kubernetes solutions are not meant to support enterprise scale, even less can do so in a manner that is cost effective. The Nutanix Cloud Platform enables enterprises to run Kubernetes in a software-defined infrastructure environment that can linearly scale. Additionally, whether running Kubernetes on-premises or in the public cloud, Nutanix delivers a cost-effective solution that can help lower total cost of ownership by up to 53% when compared to other native cloud deployment solutions. New capabilities, including broad support for leading Kubernetes container platforms, built-in infrastructure as code capabilities, and enhanced data services, make Nutanix an even stronger proposition for enterprises looking to deploy Kubernetes at scale. Specifically, new enhancements include: Broad Kubernetes Ecosystem: The Nutanix Cloud Platform, with the built-in AHV hypervisor, now supports most leading Kubernetes container platforms with the addition of Amazon EKS-A. This builds on a large ecosystem including Red Hat OpenShift, SUSE Rancher, as well as Google Anthos, and Microsoft Azure Arc for edge deployments, along with the native Nutanix Kubernetes, Nutanix Kubernetes Engine (NKE). Built-In Infrastructure as Code Operating Model: Nutanix also announced an updated API family along with its SDKs in Java, JS, Go and Python, currently under development. This will enable automation at scale and consistent operations regardless of location—in the datacenter, on the public cloud, or at edge—both of key importance to enterprises. Additionally, when combined with Red Hat Ansible Certified Content or the Nutanix Terraform provider, a DevOps methodology can be brought to infrastructure through automation leveraging Infrastructure as Code. Strengthened Data Services for Modern Applications: Nutanix Cloud Platform’s web-scale architecture enables customers to start small and scale to multi-PB sized deployments as application needs grow. It is the only platform to unify delivery of integrated data services with file, object, and now adding database services on the same platform for Kubernetes-based applications. Today Nutanix launched Nutanix Database Service Operator for Kubernetes, which enables developers to quickly and easily provision and attach databases to their application stacks directly from development environments. The open source operator is available via artifacthub.io as well as by direct download at GitHub. Additionally, Nutanix Objects now supports a reference implementation of Container Object Storage Interface (COSI) for ease of orchestration and self-service provisioning. It also adds support for observability using Prometheus. Lastly, Objects is now validated with modern analytics applications including Presto, Dremio, and Vertica, along with Confluent Kafka to efficiently enable large-scale data pipelines often used in real-time streaming applications. These new features build on the Nutanix Cloud Platform’s ability to handle the dynamic demands of Kubernetes applications at scale. With the Nutanix hyperconverged infrastructure, performance and capacity scale linearly, resilience is delivered from the ground up with self-healing nodes, and persistent storage is natively integrated. Additionally, the Nutanix Cloud Platform can help deliver cost efficiencies by eliminating unused compute and storage resources. For customers looking at cloud integrations, the same Nutanix value is delivered across hybrid multicloud endpoints with full license portability across edge, datacenter, service provider, and hyperscaler points of presence. “When we decided to bring the core platform for our solutions in-house, we decided to take a modular containerized approach to give us the desired flexibility and simplify management by maintaining customization as configurations,” said Larry McClanahan, Chief Product Officer, Nymbus. “Our partnership with Red Hat and Nutanix gives us the flexibility to innovate, the speed to get to market fast, and the tremendous scalability to support ongoing growth. We’re thrilled that we can better help our customers succeed in the digital banking market with unique solutions.” "Container development platforms promise faster application development speed, but will only be deployed by organizations who can maintain compliance, day 2 operations, and cost management control at scale,” said Paul Nashawaty, Senior Analyst at ESG. “Nutanix offers a compelling path to speed the deployment of modern applications at scale and in a cost-effective manner, with full choice of Kubernetes container development environments and cloud endpoints." About Nutanix Nutanix is a global leader in cloud software and a pioneer in hyperconverged infrastructure solutions, making clouds invisible, freeing customers to focus on their business outcomes. Organizations around the world use Nutanix software to leverage a single platform to manage any app at any location for their hybrid multicloud environments.

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Elucidata Raises $16 Million Series A to Reimagine AI Infrastructure for the Life Sciences Industry

Elucidata | September 27, 2022

Elucidata, a TechBio company that powers life science research & development (R&D) with its data-centric Machine Learning Operations (ML-Ops) platform, Polly, announced that it has raised $16 million in a Series A fundraising today. The round was led by leading global investment firm Eight Roads Ventures, with participation from F-Prime Capital, IvyCap Ventures, and Hyperplane Venture Capital. The newly infused capital will be used to deepen product capabilities in translational drug research and allied markets, scale go-to-market initiatives, and accelerate global expansion of operations. Successful AI/ML initiatives are built on high-quality data. Elucidata's platform Polly, enables pharmaceutical and diagnostic companies to adopt a data-centric approach for successful AI/ML initiatives. Polly provides R&D teams access to clean, curated biomolecular data that can be queried and analyzed over a graphical user interface (GUI) or programmatically. Used by leading life sciences companies on over 2.5 million biomolecular datasets, Polly leverages proprietary Bio-NLP technology to rapidly curate biomedical data with human-levels of accuracy, making it machine learning-ready (ML-ready). "Organizations often underestimate the importance of data quality, and as a result, a lot of AI/ML initiatives are compromised. We're on a mission to derisk such initiatives in life sciences R&D by empowering them with high-quality biomedical data at every stage of the R&D process," said Dr. Abhishek Jha, CEO, and Co-Founder of Elucidata. "The new infusion of capital is a testament to how Polly is creating value for its customers by cleaning and linking data at scale. I am thrilled to have world-class investors at the table as we continue to build a category-defining company. Elucidata sees the era of AI as one in which life sciences companies leverage the benefits of AI. This would require a complete reimagination of the current "model-centric" AI narrative, that has largely been driven by internet companies, but does not apply to niche industries like life sciences R&D. "Deciphering insights from biomedical data is at the heart of addressing the world's most important breakthroughs in biopharmaceuticals. There is an explosion in the generation of these complex, heterogeneous datasets, driven by innovations in sequencing technologies and the proliferation of connected devices. Elucidata's technology platform seeks to democratize access to curated biomedical data at scale, allowing biopharmaceutical companies to accelerate the discovery and development of novel therapies. We are proud to partner with Abhishek, Swetabh, and the team on their vision to accelerate data-centric drug discovery and development." said Ashish Venkataramani, Partner, Eight Roads Ventures. Events of interest in life sciences are rare. Predicting these events is critically dependent on the availability of high-quality data to base the predictive model on, which is a key tenet of the data-centric approach. "When it comes to AI projects, the quality of labeled data can play a vital role in the difference between success and failure. "Elucidata is providing life science companies access to high-quality datasets and, as a result, effectively accelerating their R&D efforts towards developing innovative solutions that can improve human health." Nihal Sinha, M.D., Partner at F-Prime Capital Today, 30+ premier life science companies, including Genentech, Pfizer, Janssen as well as research institutes like Stanford and Bill & Melinda Gates Foundation are leveraging Polly to significantly shorten their drug discovery cycles. About Elucidata Elucidata was founded in 2015 by University of Chicago and MIT graduate Dr. Abhishek Jha and IIT Delhi alumnus Swetabh Pathak. The company's cutting-edge platform Polly operates on unique Bio-NLP technology that cleans and links 26+ R&D data types and caters to companies in various stages of their drug discovery process. The platform helps data science teams scale by providing them 70 TB of ML-Ready biomedical data, from ~30 public and proprietary sources. Today, 3 of the top 10 pharmaceutical companies are using Polly to fast track their R&D initiatives. About Eight Roads Ventures Eight Roads Ventures is a global venture capital firm backed by Fidelity, managing $11 billion of assets across offices in China, India, Japan, the UK, and the U.S. Our 50-year history of investing includes partnerships with over 300 healthcare and technology companies. In May this year, Eight Roads launched its first dedicated US$250 million healthcare and life sciences fund for India. Eight Roads Ventures' India active and exited healthcare partner companies include Ashish Life Science, Caplin Steriles, Carestack, Cipla Health, Core Diagnostics, Denali Therapeutics, Doceree, Eywa Pharma, Elucidata, Immuneel Therapeutics, Laurus Labs, Medwell Ventures, NOCD, Plasmagen Biosciences, Proximie, OZiva, PharmEasy, Richcore Lifesciences, Specsmakers, Spry, Toothsi, Trivitron Healthcare, and Ujala Cygnus.

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DJIB Launches First Ever Enterprise Grade Decentralised Data Storage Drive

DJIB | September 06, 2022

Today DJIB launched the first ever end-to-end encrypted, enterprise grade decentralised data storage drive with embedded multi chain non-fungible token functionality. It enables the widespread adoption of NFTs in business applications. Cloud data storage is dominated by services such as Amazon AWS, Google Cloud and Microsoft Azure. However, in the age of blockchains, users find traditional storage limiting as it is centralised in the hands of individual corporations. User data can be potentially accessed without their knowledge by employees of such providers. The currently missing ability to save objects as NFTs will be increasingly required in business applications. This is why, while being AWS S3 compatible and blazingly fast, the DJIB data storage drive for the first time addresses all of these concerns by being end-to-end encrypted, censorship resistant, and with built-in NFT functionality. It reimagines the concept of NFTs, treating them as a new type of file format, whereby users can "Save as NFT" any file stored on the drive, thus demystifying the creation of NFTs. Files can be up to 5TB large, which removes currently existing technical constraints. Users can either attach custom business logic to their NFTs, or use pre-defined templates from a library without knowing how to code. For example, a musician can publish a song with pre-defined licensing rights, or a pharmaceutical company can allow patients to share and profit from their medical data with very granular permissions and usage rights - all without the need of any intermediaries or use of specialist software. Any asset can now be tokenised. Any financial director can issue share certificates in NFT format. Such NFTs are immediately interoperable with all the blockchains with which DJIB has a connector. It started from Solana, Ethereum and BSC, but will soon cover all key networks. DJIB is already working on connectors with teams from major blockchains, starting with those that are enterprise focused and see this as an opportunity to foster the development of applications within their ecosystems. Moe Sayadi, DJIB CEO whose background is of a solutions architect at Microsoft and Avaloq, says: "Making our decentralised drive available to enterprise customers and removing the mystery behind the creation of NFTs opens an unimaginable trove of opportunities. It puts a powerful tool into the hands of non-technical domain experts. They can focus on the business logic attached to any document and potentially physical item, and move entire business processes to the cloud. This enables Object Oriented Business Process Management and many other exciting innovations which are in our pipeline and will be announced soon. We are discussing with corporate CTOs some very interesting use cases and I can confidently say that NFT evolution has finally passed the apes stage."

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Spotlight

Initially, the IIoT or Industrial Internet of Things referred to an Industrial framework whereby a large number of machines or devices are interconnected and synchronized through the use of software tools and third platform technologies in an M2M (machine-to-machine) and the Internet of Things context.

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