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Architecture Classics: IBM Building / Mario Roberto Álvarez & Associates
Located in the Retiro district of the Autonomous City of Buenos Aires is the IBM building designed by Mario Roberto Álvarez & Associates. Conceived to house the headquarters of the IBM company, this office building was designed around 1979 and consists of a tower supported by two large concrete structural cores on a base, which is separated from the ground and the shaft of the tower to house the ground floor and a level of common areas in order to maintain the urban scale. The language of the building is recognizable from a distance as it is formed by an enclosure of horizontal bands of glass and exposed concrete parapets-parasols, which achieve a dialogue and balance in the proportion of full and empty spaces.
Inaugurated around 1983, the project was designed on the basis of a series of premises that involved the contemplation of all the restrictions of the building codes. This included things like the use of the maximum usable floor area, the use of a free floor plan with a clear and simple reinforced concrete structure free of interior columns, and the optimization of the maximum perimeter of natural lighting. Also, attention to the pedestrian scale and the hierarchy of accesses on the ground floor, the modulation of façades and ceilings for a greater number of offices and flexibility, compliance with the client's safety regulations, and the integral solution to the problem of façade maintenance together with the escape to the external staircase.
Memoir by the authors. The work configures a contemporary, functional, efficient, and economical building, which, without being an extravagance, is different from its neighbors. A building that is the product of interpreting and complying with the client's criteria, objectives, and concepts, compatible with its neighbors, but different from the surrounding glass boxes in Catalinas Norte.
Architectural and engineering considerations resulted in the proposed structural skeleton, which proved to be the most practical and economical. The standard plan is supported by two central cores and a series of perimeter columns, with a module of 1.50 meters. The two central cores rest on direct foundations and the perimeter columns do not reach the ground but transfer their load to the cores by means of a special structural system.
This transition structure basically consists of two plates, a lower and an upper plate. The lower plate rises from the cores towards the sloping edge and intercepts the upper plate, which is horizontal in line with the columns. In this way, the load of the perimeter columns is gently deflected towards the cores by means of a logical and economic structure. This structure overhangs the line of the columns, distributing their loads and creating a space for anchoring the concrete bars. The necessary stability and support of vertical and asymmetrical loads is provided by a beam grid.
This modulated design of the structure allows for maximum flexibility in the floorplans to locate offices according to IBM's optimum and to have two minimum office ranges of 3m and a 1.50m corridor. A perimeter overhang with sunshades will provide security and also serve as a means of escape to an additional external fire escape.
The typical window is made of anodized aluminum with athermic upper glass, while the sill is a compact vitreous glass painted and baked on the outside. Every other window is an opening banner for ventilation in case of emergency so that no office of at least 3x3 is without ventilation. On each of the facades, one of these modules opens from floor to ceiling to allow access to the escape staircase.
On the other side, on the first floor, there is a terrace, garden, and living area for different functions related to the offices, which go from the 3rd floor to the 19th floor, leaving the top floor for the machine room. Two of the three basements are developed for parking, while the remaining one houses connections and various computer circuits.
Project: MRA+A | Mario Roberto Álvarez & Associates
Alvarez, Kopiloff, Santoro, Satow, Rivanera
Location: Carlos M. de la Paolera 275, Autonomous City of Buenos Aires, Argentina
Land Surface: 2.736 m²
Total Built Surface Area: 32.000 m²
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Long before VR gaming and microtransactions and downloadable content, games came on disks. Floppy disks and optical discs, they were installed on a PC’s hard disk drive before playing.
You may recall this from using Windows XP through to Windows 8. But what about the days before that, when games were all designed for MS-DOS? What happened to those games, and how do you run them today?
One option is to emulate MS-DOS with software called DOSbox. But for a more authentic experience, you need an operating system that boots straight into a DOS-like environment.
For that, you need Dosbian.
Developed by Carmelo Maiolino, Dosbian is a Debian-based Raspberry Pi distro that boots straight into an MS-DOS-like environment. It is based on DOSBox and features various improvements introduced by the community around that software.
Dosbian can handle DOS, Windows 3.1, Windows 95, and Windows 98 software, has network bridging with a virtual LAN to the Pi’s networking hardware, and can support the creation of floppy and hard disk drives. Floppies, HDDs, and CD-ROMs can be mounted using a special utility. Meanwhile, Dosbian also has sound card emulation, video output emulation for different IBM-compatible PC types (such as Tandy), is regularly updated with new features and fixes.
Of course, you could simply install DOSBox on your Raspberry Pi OS.
But that isn’t quite what we’re after.
What this project is all about is building a tiny gaming PC running DOS – just like the weeCee.
This is an open-source PCB that is compatible with Vortex86, a System-on-Chip (SoC) with x86 architecture (rather than the usual ARM architecture found on such devices). Because it is x86-compatible, that means it can run classic IBM-PC compatible software, without emulation.
Since the weeCee can’t actually be bought (it exists mainly as a series of components that you source and assemble yourself), it’s pretty difficult to get hold of one.
That’s where the Raspberry Pi comes in. This project is a trade-off: the compact size of the weeCee and the necessary compatibility, but relying on emulation rather than compatible hardware.
While you could easily grab some old PC hardware from eBay for very little outlay, it’s going to be comparatively expensive to run. The weeCee is a great solution, but it’s not easy to get hold of.
That’s what makes a Raspberry Pi running Dosbian a particularly good alternative.
To build a weeCee-like mini DOS PC you will need:
You will also need to download:
Grab your hardware and obtain the software before proceeding.
Sadly, we can't tell you where to find old DOS games to run on Dosbian. Our explanation of abandonware should help you understand why.
Installation of Dosbian is straightforward.
First, obtain the 7z file and extract the compressed IMG file.
Then, using a tool like Etcher (download link above), write the IMG file to your Raspberry Pi’s microSD card.
Our guide to installing an operating system on the Raspberry Pi explains this in greater detail. It also outlines other installation options.
With the Dosbian operating system installed on the microSD card, and the media safely ejected from your PC, insert it into your Raspberry Pi and boot it up.
You’ll see the Dosbian splash screen, which displays classic-style PC boot details such as processor speed and RAM. The screen wil also confirm whether any additional USB storage is attached.
Once this passes, you’ll see a standard DOSBox interface, and a C:\ prompt. You’ll notice the message, “Drive C is mounted as local directory /home/pi/dosbian/” – this is where you will find relevant directories for adding new games to your DOS gaming PC.
Before you get your hands dirty in the command line interface of Dosbian, however, there is another screen to visit. To reach it, type and enterexit
This will prompt the Dosbian menu, where a wealth of configuration options can be found.
Most of these are beyond the scope of this guide, but you should definitely hit C to access the raspi-config tool and configure your Raspberry Pi. This will let you connect the device to your local wireless network (if you’re not using Ethernet) as well as enable SSH.
Another option to consider here is Launchbox, enabled by pressing 8 and rebooting the Raspberry Pi. Launchbox is a mouse- or keyboard-driven DOS interface for easily selecting and launching software. If you don’t want to use the MS-DOS commands (see below) this is the easiest way to use Dosbian.
You can also use the Dosbian menu to update the OS, change the boot/splash screen, switch the mount point, and shutdown or reboot the Raspberry Pi.
The easiest way to copy games to Dosbian is via USB and the Midnight Commander app, which is pre-installed.
Start by copying your collection of DOS games to the USB stick and connecting it to the Raspberry Pi. With the Dosbian menu running, hit M to open Midnight Commander. Then, simply drag and drop the files onto the Pi’s microSD card, within the Dosbian file structure.
Meanwhile, if you enabled SSH, you should be able to use the scp command or an FTP client with SFTP support to move data from a PC to the Dosbian Raspberry Pi. Our guide to copying data from a PC to a Raspberry Pi explains this in detail.
With the files copied to the Raspberry Pi, it’s time to run them.
This is as easy as switching to the directory using the cd command and initiating the EXE. For example, to run the preinstalled Wolfenstein 3D, I used dir to check the contents of the directory, thencd games/wolf3d dir
After spotting the wolf3d.exe file, I enteredwolf3d
To start the game. It’s as simple as that, and once you get to grips with what the EXE files are called, you probably won’t need to bother with the dir command in most cases.
As Dosbian creates an MS-DOS emulation environment, you’ll need to be familiar with the commands you need to use it. If you’re already familiar with the Windows Command Prompt, or PowerShell, or the Windows Terminal, you should be able to get to grips with MS-DOS pretty quickly.
While you can get by with cd and dir, it’s easier if you know a few more. To learn these, typehelp
And hit enter. This will provide an overview of the supported MS-DOS commands in Dosbian.
To quit Dosbian, enterexit
Then, in the Dosbian menu, hit S to shut down the computer.
That's all there is to it. Thanks to a Debian-based operating system that boots into a special build of DOSBox, Dosbian will let you treat your Raspberry Pi like a tiny DOS gaming PC, much like the weeCee. While the hardware is emulated, unless you're interested in a hardcore 80s and 90s PC gaming experience but with lower power requirements, Dosbian should be all you need.
If you have enjoyed the experience of running Dosbian on your Raspberry Pi, don’t forget that the weeCee is an open source design. You can buy a Vortex86 module and Rasteri’s host board for around $200 and assemble your own system.
The Raspberry Pi is capable of emulating many retro computing platforms. Once you’re done with MS-DOS games, why not revisit the Amiga?
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Oct 10, 2022 (Alliance News via COMTEX) -- Quadintel's accurate global Artificial Intelligence In Fintech market research report gives detailed facts with consideration to market size, cost revenue, trends, growth, capacity, and forecast till 2030. In addition, it includes an in-depth analysis of This market, including key factors impacting the market growth.
The Global Artificial Intelligence In Fintech Market size is expected to reach $25.8 billion by 2028, rising at a market growth of 16.8% CAGR during the forecast period.
This study offers information for creating plans to increase the market’s growth and effectiveness and is a comprehensive quantitative survey of the market.
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For industry executives, marketing, sales, and product managers, consultants, analysts, and stakeholders searching for vital industry data in easily accessible documents with clearly presented tables and graphs, the research contains historical data from 2017 to 2020 and predictions through 2030.
GlobalArtificial Intelligence In Fintech MarketSize, Share & Industry Trends Analysis Report By Component (Solutions and Services), By Deployment (On-premise and Cloud), By Application, By Regional Outlook and Forecast, 2022 ? 2028
Insurance executives and future banking agents would ask the proper questions to robots rather than human experts as a result of data-driven management decisions at a reduced cost. Machines would then analyze the data and provide recommendations that will aid leaders and subordinates in making better decisions. Users can employ automated financial assistants and planners to help them make financial decisions. These include events tracking, stock and bond price trends based on the user's financial goals and personal portfolio, that can aid in the recommendation of bonds and stocks to buy or sell. These systems, dubbed "Robo-Advisors," are highly being provided by both traditional financial firms and Fintech startups.
Bright well Payments, a financial services firm that offers financial solutions to transport money safely anywhere in the world, announced the launching of ARDEN in May 2022. This risk-detection engine powered by AI helps fintech companies protect their cardholders and financial assets. Globally, banks are implementing AI-enabled solutions to enhance safety, and AI provides banks the advantage of digitization. Additionally, it enables them engage with other fintech businesses. Apps that necessitate UPI, a fingerprint, or facial recognition are available from financial institutions.
UPI is one of the most widely used digital payment systems in India, and the system was created to enable payments to be executed in seconds. To generate critical insights, financial firms utilize AI to handle and assess data from a variety of sources. Banks might use such inventive solutions to solve challenges they have when providing services like payment processing and loan management. Many banking apps offer personalized financial advice to assist users in achieving their financial goals, tracking their income & expenditures, and performing other financial chores. AI-powered finance advances are primarily responsible for this customization.
The latest coronavirus outbreak has been beneficial to the market. Due to the coronavirus pandemic, business activity has been halted, resulting in disruptions in border restrictions, supply chains, and travel restrictions imposed by government bodies. As a result, banks and fintech companies are adopting a work-from-home attitude. Moreover, banks and financial institutions are implementing AI technologies to extract information and insights from unstructured documents and automate the laborious procedure that banks have traditionally completed in shorter period of time. For example, Temenos, a banking software business, announced the introduction of eight propositions in April 2020, utilizing breakthrough Explainable AI (XAI) and cloud technologies to assist banks and financial institutions in responding to the COVID-19 situation.
Market Growth Factors
Reduction in cost and better efficiency along with enhanced wealth management
Artificial intelligence in fintech is enabling businesses to minimize costs, automate processes, and lessen the risk of human mistake. Companies utilize AI Chatbots as customer assistants for a variety of tasks, including sales, customer service (over the phone), and online chat. AI is enabling small finance organizations since it is cost-effective and has a minimal risk of error. Furthermore, the end user is gaining momentum for the insightful facts regarding cash flow, income, and expense, as this would assist organizations cut their expenses. Lesser net worth market groups are provided digital and wealth management advice services, leading to low fee-based commissions.
Various technological enhancements would increase the popularity of AI in fintech
Credit card fraud is one of the most common types of cybercrime. As a result, firms are developing the next-generation of algorithms called Convolutional Neural Networks, which are based on the visual cortex, a small portion of cells in the human body that is sensitive to particular regions of the visual field. They can extract basic visual elements such as aligned edges, end-points, and corners in this way. This system can analyze an individual's funding data and establish whether they made the most accurate credit card transaction or if their credit card data was used by someone else based on that data.
Market Restraining Factors
Data security and privacy concerns of the users
Most fintech businesses are dealing with the sensitive Topic of data privacy and security that is the largest hurdle with AI. Because any data breach or security failure might be disastrous, the fintech sector is overseen by tight adherence to standards and governance. Since businesses nourish more and more user and provider information into advanced, AI-fueled algorithms, innovative bits of personal data are created without the knowledge of the way it affected clients and employees, which ultimately leads to the rising privacy concerns. This is especially true in the retail banking industry, in which the collection of consumer data is at the forefront of big data challenges.
Based on Component, the market is segmented into Solutions and Services. The solution segment procured the highest revenue share in the Artificial Intelligence In Fintech Market in 2021. The high proportion can be due to software tools, which help banks adopt AI-enabled solutions that extract correct and comprehensive data from large amounts of data in a timely manner. Some firms' solutions help them accomplish things like develop their retail banking company with next-best-action software, identify and battle financial fraud, and Boost client relationships with multichannel user experience solutions.
Based on Deployment, the market is segmented into On-premise and Cloud. The cloud segment garnered a substantial revenue share in the Artificial Intelligence In Fintech Market in 2021. From 2022 to 2030, the cloud segment will grow at the quickest rate. AI-based algorithms that learn from historical data in a public cloud, detect current norms, and make recommendations are credited with the increase. In data handling and authenticity, the cloud and AI may boost efficiency, and digital security, and this automated technique removes human errors throughout data processing
Based on Application, the market is segmented into Business Analytics & Reporting, Customer Behavioral Analytics, Fraud Detection, Virtual Assistant (Chatbots), Quantitative & Asset Management and Others. Business Analytics and Reporting segment witnessed the maximum revenue share in the Artificial Intelligence In Fintech Market in 2021. Regulatory and compliance management, as well as customer behaviour monitoring, benefit from business analytics and reporting. More efficiency, more educated decision, and higher revenues are all elements that have contributed to the segment's growth.
Based on Regions, the market is segmented into North America, Europe, Asia Pacific, and Latin America, Middle East & Africa. North America emerged as a leading region in the Artificial Intelligence In Fintech Market with the largest revenue share in 2021. It is due to the industrialized economies of the United States and Canada placing a major focus on R&D-derived technologies. In fintech, this region has the most competitive and rapidly developing AI technology. Many startups and rising firms that provide AI services to the finance sector are also fueling the trend.
The major strategies followed by the market participants are Partnerships. Based on the Analysis presented in the Cardinal matrix; Microsoft Corporation and Google LLC are the forerunners in the Artificial Intelligence In Fintech Market. Companies such as Oracle Corporation, Intel Corporation and IBM Corporation are some of the key innovators in the Market.
The market research report covers the analysis of key stake holders of the market. Key companies profiled in the report include IBM Corporation, Oracle Corporation, Microsoft Corporation, Google LLC, Intel Corporation, Salesforce.com, Inc., Amazon Web Services, Inc., ComplyAdvantage, Amelia US LLC, and Inbenta Technologies, Inc.
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Recent Strategies deployed in Artificial Intelligence In Fintech Market
Partnerships, Collaborations and Agreements:
Jun-2022: Amazon Web Services (AWS) teamed up with Hong Kong Science and Technology Parks Corporation (HKSTP). This collaboration aimed to boost a robust Innovation and Technology (I&T) ecosystem in Hong Kong. Through this collaboration, AWS and HKSTP would introduce a series of programs under four key pillars to accelerate the innovation of IT companies, startups, and researchers across their whole growth cycle.
May-2022: Amazon Web Services (AWS) joined hands with RBL Bank and Amazon Pay. This collaboration aimed to introduce UPI payments, along with offering peer-to-peer and peer-to-merchant transactions. Through this integration, Amazon Pay would issue NPCI?s allocated UPI ID with the manage @rapl, to RBL Bank.
May-2022: Oracle PartnerNetwork (OPN) collaborated with Temenos, the cloud banking platform. The collaboration aimed to allow Oracle?s global customers like financial services organizations across the world, to implement its robust Explainable AI and machine learning capabilities through Oracle Cloud Marketplace.
May-2022: Salesforce came into a partnership with Upstart, a leading artificial intelligence (AI) lending platform. This partnership aimed to bring AI-enabled lending to the financial services industry, which can assist financial institutions to modernize lending, stay competitive, and delivering better customer service to users.
Apr-2022: ComplyAdvantage came into a partnership with Xapien, a deep-technology company. This partnership aimed to provide a ground-breaking due diligence solution to the market, wherein there is a huge requirement for a deep understanding of sanctioned parties or PEPs.
Apr-2022: IBM formed a partnership with Skyscend, a fintech start-up with headquarters in Atlanta, GA. Under this partnership, IBM's Embedded Solution Agreement (ESA) would enable Skyscend to integrate IBM's cutting-edge technologies with its Skyscend Pay B2B SaaS fintech platform to service the global marketplace.
Mar-2022: Google Cloud came into a partnership with Mizuho Financial Group (MFG), a Japanese bank holding company. This partnership aimed to show the firm modernize its systems, develop a new digital marketing platform on Google Cloud, and release a new digital financial service portfolio like Banking-as-a-Service (BaaS).
Feb-2022: Google Cloud entered into a partnership with KeyBank, and Deloitte. This partnership aimed to boost KeyBank?s commitment to a cloud-first approach to banking. In this partnership, KeyBank would become the largest regional banks in the United States to manage its primary platforms and applications on Google Cloud infrastructure, enabling the financial institution to shift the way it creates, operationalizes, and provides digital experiences to customers, partners, and teammates with security at its core.
Feb-2022: Microsoft came into partnership with U.S. Bank as part of a significant investment by US bank in its technology infrastructure. This partnership aimed to use Artificial intelligence (AI) and machine learning (ML) in order to support the bank?s applications and infrastructure along with augmenting customer privacy and the security of data and financial assets.
Oct-2021: Oracle NetSuite teamed up with HSBC, a British multinational universal bank and financial services holding company. This collaboration aimed to introduce a Banking as a Service (BaaS) offering, which would allow customers to provide business banking services via their own platforms.
Feb-2021: Google Cloud formed a partnership with BBVA, a customer-centric global financial services group. This partnership aimed to transform the bank?s security strategy by enhancing and optimizing its security infrastructure. Under this partnership, BBVA would collaborate with Google Cloud in the development of the new artificial intelligence (AI) and machine learning (ML) models to forecast and prevent cyberattacks against its banking infrastructure, offering a more secure experience for the bank and its customers.
Dec-2020: Google Cloud formed a partnership with Deutsche Bank, one of the world's leading financial service providers. This partnership aimed to boost the transformation of the bank to the cloud. For Deutsche Bank?s customers, the agreement would reshape the way products and services are developed and delivered.
Jul-2020: Microsoft signed a multi-year cloud agreement with Finastra, a financial software company. This agreement aimed to assist the digital transformation of financial services. Together, the companies would support banks, credit unions, and other firms in the sector to utilize Power Platform, Azure, and Microsoft 365.
Product Launches and Product Expansions:
Apr-2022: Salesforce released CRM Analytics, AI-based insights for sales, marketing, and service teams in every industry. These technologies would assist sales leaders, service leaders, and employees across any industry like financial services, consumer goods, manufacturing, and communications, put data at the center of each customer relationship, and eventually provide more customized experiences.
Apr-2022: IBM introduced IBM z16, Real-Time AI for Transaction Processing. This technology would bring AI inferencing, through its IBM Telum Processor, with highly protected and reliable high-volume transaction processing.
Jan-2022: Google introduced a Google Cloud digital assets team. This team would support customers' requirements in building, transacting, storing value, and deploying new products on blockchain-based platforms.
May-2021: IBM introduced new advances in artificial intelligence (AI), hybrid cloud, and quantum computing. These advanced would assist IBM's customers and partners boost their digital transformations, returning to work smarter, and developing strategic ecosystems that would generate better business results.
Apr-2021: ComplyAdvantage released a new early-stage anti-money laundering (AML) program. The program would offer qualified startups free access to the company?s leading AML and Know Your Customer (KYC) tools and resources required to uncover and decrease the threat of money-laundering activities.
Nov-2020: Google Cloud unveiled the new Document AI (DocAI) platform, a unified console for document processing. Through this latest DocAI platform, customers can rapidly access all parsers, tools, and solutions with a unified API, allowing an end-to-end document solution from evaluation to deployment.
Acquisitions and Mergers:
Mar-2022: Microsoft took over Nuance Communications, artificial intelligence (AI), and speech technology firm. This acquisition aimed to bring together Nuance?s best-in-class conversational AI and ambient intelligence with Microsoft?s safe and trusted industry cloud portfolio.
Jan-2022: Oracle took over Federos, a provider of unified service management solutions for service providers. This acquisition aimed to expand Oracle Communications? application portfolio by introducing AI-optimized assurance, analytics, and automation solutions to maintain the accessibility and performance of crucial networks and systems.
Dec-2020: IBM took over Expertus Technologies, a Montreal-based fintech company. This acquisition aimed to strengthen IBM's portfolio as an end-to-end digital payments solution provider and Boost IBM's hybrid cloud and AI strategy.
Oct-2020: Intel completed the acquisition of SigOpt, a startup out of San Francisco. Through this acquisition, Intel would double down on building chips and related architecture for the next generation of computing, which would boost Intel's expertise in the area of future technology: artificial intelligence.
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Scope of the Study
Market Segments covered in the Report:
Business Analytics & Reporting
Customer Behavioral Analytics
Virtual Assistant (Chatbots)
Quantitative & Asset Management
Rest of North America
Rest of Europe
Rest of Asia Pacific
Rest of LAMEA
Amazon Web Services, Inc.
Amelia US LLC
Inbenta Technologies, Inc.
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JERSEY CITY, N.J., Oct. 12, 2022 (PR Newswire Europe via COMTEX) -- The expansion of the Data Fabric Market is being driven by the increasing volume and variety of corporate data as well as the developing needs for business accessibility and agility.
JERSEY CITY, N.J., Oct. 12, 2022 /PRNewswire/ -- Checked Market Research recently published a report, "Data Fabric Market" By Type (In-Memory Data Fabric, Disk-Based Data Fabric), By Component (Software, Service), By Application (Fraud Detection And Security Management, Customer Experience Management), By Industry (Banking, Financial Services, And Insurance (BFSI), Telecommunications And IT), and By Geography.
As per the deep research carried out by Checked Market Research, the global Data Fabric Market size was valued at USD 1.25 Billion in 2022 and is projected to reach USD 11.54 Billion by 2030, growing at a CAGR of 26.8% from 2023 to 2030.
Download PDF Brochure: https://www.verifiedmarketresearch.com/download-sample/?rid=4815
Browse in-depth TOC on "Data Fabric Market"
202 - Pages126 - Tables37 - Figures
Global Data Fabric Market Overview
Data services that provide resources across a variety of endpoints are referred to as data fabrics. These assets cover both a multi-cloud setup and an on-premise cloud environment. Data placement, file analysis, management, and service-level specification are all consolidated by data fabric. To acquire data access, security, insights, and visibility, the service offers integrated and consistent cloud data services. It is an effective architecture that harmonises data management procedures and requirements across cloud, on-premises, and edge devices. One of the many advantages that a data fabric offers is data visibility and insights, data access and control, data protection, and security. A data fabric's fundamental component is an integrated, secure, adaptable, and adaptive data architecture.
The expansion of the Data Fabric Market is being driven by the increasing volume and variety of corporate data as well as the developing needs for business accessibility and agility. The Data Fabric Market may be fueled by the rise in demand for real-time streaming analytics. The industry is also being driven by a rise in the use of cloud-based technology, which enables tools and apps to access data using a variety of interfaces that a company has put in place. Growing mobile data and cloud computing traffic, as well as increased research into and uptake of technologies like artificial intelligence (AI) and the internet of things, are all contributing to the demand for big data analytics tools (IoT).
In December 2021, NetApp announced a strategic partnership with Kyndryl, the world's largest IT infrastructure services provider to deliver critical enterprise data infrastructure to BMW Group.
In November 2020, IBM announced new capabilities for IBM Cloud Pak for Data. The updated version will empower companies to drive innovation across their expanding environments and accelerate their digital transformations. It will run on Red Hat OpenShift, as a result, it can be deployed and managed in any cloud environment.
The major players in the market are Informatica Corporation, Global IDs, IBM Corporation, Denodo Technologies, NetApp, Oracle Corporation, SAP SE, Talend, Software AG.
Verified Market Research has segmented the Global Data Fabric Market On the basis of Type, Component, Application, Industry, and Geography.
Data Fabric Market, By Type
In-Memory Data Fabric
Disk-Based Data Fabric
Data Fabric Market, By Component
Data Fabric Market, By Application
Fraud Detection and Security Management
Customer Experience Management
Governance, risk, and Compliance Management
Sales and Marketing Management
Business Process Management
Data Fabric Market, by Geography
Rest of Europe
Rest of Asia Pacific
Middle East & Africa
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5 Leading Data Center Interconnect Vendors adjoining servers of diverse networks
Visualize Data Fabric Market using Checked Market Intelligence:
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On the heels of two major quantum computing achievements last month, Tony Uttley, President and COO of Quantinuum, made three more announcements at IEEE Quantum Week 2022. The company’s latest announcements include another quantum volume record, a new method to make two-qubit gates with higher fidelity and greater efficiency, and a milestone achievement of more than a half-million downloads of Quantinuum’s open-source software development kit (SDK) called TKET.
Before analyzing the latest announcements, it's important to review Quantinuum’s quantum hardware and architecture that made those announcements possible.
Quantum Charged Coupled Device
There are two common ion traps, linear traps and quantum charged-coupled device (QCCD). The linear trap is exactly what it sounds like – a long chain of ion qubits contained in a single trapping zone. Linear traps have some shortcomings such as the limited ability to scale qubits in large numbers; it also has some limitations with qubit addressability. QCCD has its limitations as well, but nearly all major problems have been solved.
In July, Quantinuum solved a technical QCCD problem that has baffled the quantum research community for years when its scientists developed a method to allow ions to make 90-degree turns when moving through ion trap intersections. This is covered in more detail later.
QCCD was first proposed in a research paper by Dr. David Wineland and his NIST group over twenty years ago. However, Quantinuum was the first company to implement and Boost it. Dr. Chris Monroe, co-founder and Chief Scientist for IonQ, also Professor of Physics and ECE at Duke University, was one of the authors of that paper.
Rather than storing and performing qubit operations in a single linear trapping zone, QCCD uses multiple zones for the arbitrary rearrangement of qubits and accommodation of various codes, including those with exotic geometries. Small chains of ions in multiple small zones provides greater precision and control compared to large ion chains within a single trapping zone.
Of the two architectures, QCCD is considered the most advanced and most flexible. Quantinuum’s H-Series quantum computer currently has 20 qubits spread across 5 gating zones where qubits are parked, and quantum operations are performed. Ions can be moved from one zone to the next and then recombined. The architecture provides high-fidelity interactions between distant qubits and low crosstalk between gates. All of Quantinuum’s recent advancements have been made possible by QCCD’s high fidelity and flexibility.
Tony Uttley is confident that QCCD will support Quantinuum’s quantum roadmap of future generations of H-Series processors. He feels that QCCD offers a superior menu of technical advantages and provides greater adaptability not only for technical reasons, but for future market needs as well.
While QCCD qubit control is precise, qubit control in a single linear trapping zone with 50 or more qubits can be problematic. Packing many ions together in single traps can adversely affect spacing between ions which makes it difficult to address individual ions and create unwanted interactions between them. Fiber optics and optical switches may allow interconnection of multiple linear traps in the future, allowing for greater control and scaling. However, there are no optical switches available today that are fast enough to stitch a multi-chip trapped-ion architecture together.
Dr. Jungsang Kim is Co-founder and Chief Technology Officer of IonQ. He is also Professor of Physics in the Department of Electrical and Computer Engineering at Duke University. While working for Bell Labs in the early 2000s, Dr. Kim built the world's largest optical switch with over a thousand ports. Dr. Kim is currently working on an optical switch for IonQ's future architecture.
Quantinuum announcements at IEEE Quantum Week
Dr. Brian Neyenhuis is the Director of Commercial Operations at Quantinuum. When asked if the method was proprietary, Dr. Neyenhuis explained that the technique was not proprietary to Quantinuum.
“Other companies may be able to implement arbitrary angle entangling gates at some point in the future,” he said. “However, we have an advantage with QCCD because when we do a two qubit gate, it's only those two specific qubits in the interaction zone with laser beams. That makes it very straight forward. If there are too many qubits, such as in a linear trap, you have to worry about crosstalk which occurs when many qubits interacting together; and you also have to be careful about what the other qubits are doing. You can do those things with longer chains but it’s a lot harder.”
Dr. Neyenhuis also pointed out there are algorithms where the arbitrary angle two-qubit gate act as a natural building block. In general, the arbitrary angle gate can run on many quantum circuit types. He gave the quantum Fourier Transform as an example.
The Fourier Transform has been called one of the most useful mathematical tools in modern science and engineering. Dr. Neyenhuis explained that use of arbitrary angle two-qubit gates in the quantum Fourier Transform can reduce the number of two-qubit gates needed for the transform by 2x, plus it can reduce overall errors by 2x as well. Greater circuit fidelity offers the advantage of running deeper and more complex circuits. More information about arbitrary angle entangling gates can be found here
IBM originally developed quantum volume in 2017 as a hardware-agnostic performance measurement for gate-based quantum computers such as the Quantinuum H-Series system. QV testing measures many aspects of a quantum computer. Although the number of qubits is important, there are also other system factors that affect a quantum computer’s performance such as qubit connectivity, gate fidelity, cross talk, circuit compiler efficiency, and more. A high quantum volume is an indicator of a quantum computer’s power.
QV score is determined by running specified algorithms and arbitrary circuits. For this QV record, Quantinuum ran 220 quantum volume circuits 90 times each.
Quantinuum scientists found that arbitrary angle two-qubit gates performed more efficiently and with less errors at each step of the algorithm. The cumulative effect of the arbitrary angle gates helped boost quantum volume to its current record value of 8192.
Quantinuum plans to continue the use of quantum volume until a better metric is created and endorsed by the ecosystem. More complete information about the new quantum volume record can be found here.
Tony Uttley also announced that Quantinuum achieved a milestone of surpassing 500,000 downloads of TKET.
TKET is Quantinuum’s open source SDK used by developers writing quantum algorithms for gate-based quantum computers. It is universally accessible through the PyTKET Python package. Functionally, it optimizes quantum algorithms by reducing computational resources. The TKET SDK also integrates with Qiskit, Cirq and Q#.
Since the software is downloaded both by companies and academic institutions with multiple users, the user count is likely greater than 500,000. Quantinuum estimates that the TKET base is growing globally and now has close to a million users.
Quantinuum plans to continually evolve the TKET platform as updates and advancements occur to ensure it includes new hardware capabilities such as Quantinuum’s most accurate development, arbitrary angle two-qubit gates.
Over the past 12 months, Quantinuum scientists have performed a great deal of research. However, there are two previous pieces of standout research that should be highlighted:
It may not sound significant, but this research provides the capability to execute Quantinuum’s long term roadmap for future generations of H-series quantum computers. Quantinuum is following the pre-merger hardware strategy originally developed by Honeywell Quantum Solutions. That plan calls for the System Model H-2 to use a racetrack-like design shown in the above graphic. H-Series System Model H-3, H-4, and H-5 will use two-dimensional traps that resemble a city street grid with multiple railroad lines and intersections.
Limitations inherent in the QCCD grid design are what motivated Quantinuum scientists to pursue research needed to move ion pairs through grid intersections together and make sharp corner turns without excessive energy and motion.
Ion trap researchers have been working on this problem for years. Prior to Quantinuum’s research, it was believed that the only way for paired ions to move through zones was to first separate the pair, then move them through junctions one at a time. That solution would have significantly increased processing time.
2. Highlighted research #2 - Closing the gap on fault-tolerant quantum error correction: Fault tolerant quantum error correction will make it possible to build quantum computers with enough qubits to solve problems far beyond the computational reach of today’s largest and most powerful supercomputers.
Qubits are very sensitive to sources of noise in their environment which can result in random errors during quantum computation. Uncorrected errors can accumulate to the point that viable computation isn’t possible. It is currently not possible to build quantum computers with millions of qubits due to the lack of quantum error correction (QEC).
QEC is both a physics and engineering problem. In the quantum ecosystem, nearly every academic and commercial institution is performing some level of QEC research. The entire ecosystem has invested years of research into QEC and yet a complete fault tolerant QEC solution has yet to be developed, which illustrates its complexity and difficulty. Even so, much progress has been made.
A good example is the research paper Quantinuum published in August that illustrates two important error correction firsts.
These “firsts” were made possible by using physical qubits to form logical qubits. Each logical qubit is formed from groups of entangled physical qubits that perform computations while other qubits are tasked with error detection and correction.
Several years ago, it was thought that 1000 physical qubits would be needed for each logical qubit. Now that ratio is down to 10 to 1 or less.
For the first time, Quantinuum researchers were able to construct a logical entangling circuit that had a higher fidelity than its physical counterpart. The researchers also accomplished another QEC first by entangling two logical qubit gates in a fully fault-tolerant manner using real-time QEC.
Key to this demonstration is its repeatability, a necessity for any QEC solution. While the research does not provide a complete QEC solution, it is stil an important proof of concept that creates a new starting point for other researchers to build on.
More information on Quantinuum error correction research can be found here.
3. Quantinuum research performed over the past 12 months:
September 27, 2022
Quantinuum Sets New Record with Highest Ever Quantum Volume of 8192
August 4, 2022
Logical qubits start outperforming physical qubits
July 11, 2022
Quantum Milestone: Turning a Corner with Trapped Ions
June 14, 2022
Quantinuum Completes Hardware Upgrade; Achieves 20 Fully Connected Qubits
May 24, 2022
Quantinuum Introduces InQuantoTM to Explore Industrially Relevant Chemistry Problems on Today’s Quantum Computers
April 14, 2022
Quantinuum Announces Record Quantum Volume of 4096
March 29, 2022
On the ArXiv: Modeling Carbon Capture with Quantum Computing
March 29, 2022
Quantinuum Announces Updates to Quantum Natural Language Processing Toolkit λambeq, Enhancing Accessibility
March 3, 2022 Quantinuum announces a world record in fidelity for quantum computing qubits
December 29, 2021 Demonstrating Benefits of Quantum Upgradable Design Strategy: System Model H1-2 First to Prove 2,048 Quantum Volume
December 7, 2021
Introducing Quantum Origin, The world’s first quantum-enhanced cryptographic key generation platform to protect data from cybersecurity threats
(Note: On November 30, 2021, Quantinuum was formed by the merger beteen Honeywell Quantum Solutions and Cambridge Quantum)
November 27, 2021
Quantum Milestone: We Can Now Detect and Correct Quantum Errors in Real Time
November 29, 2021
LAMBEQ: A Toolkit for Quantum Natural Language Processing
November 29, 2021
How a New Quantum Algorithm Could Help Solve Real-world Problems Sooner
November 29, 2021
Quantum Milestone: 16-Fold Increase in Performance in a Year
October 15, 2021
Researchers ‘Hide’ Ions to Reduce Quantum Errors By Reducing Crosstalk Errors An Order of Magnitude
October 20, 2021
TKET: Quantum Software Tool Goes Open Source
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Moor Insights & Strategy founder, CEO, and Chief Analyst Patrick Moorhead is an investor in dMY Technology Group Inc. VI, Dreamium Labs, Groq, Luminar Technologies, MemryX, and Movand
The LER infrastructure will allow students to easily amplify their education credentials, skills and employment records to many more employers, making it easier to find good jobs. Employers will be able to easily find and connect with job-seekers who have the exact skills they're seeking.
ALBUQUERQUE, N.M., Oct. 11, 2022 /PRNewswire/ -- In the current job market, applicants are usually asked to provide a broad résumé that lists the basics of their qualifications including college degrees and past work experience. It's an outdated and inefficient system and one that Central New Mexico Community College (CNM) is now helping to improve.
Thanks to a grant from Walmart, CNM produced a comprehensive report that researches several independent efforts underway in order to build a model for creating a national Learner and Employment Records (LER) infrastructure. An LER enables the exchange of skills-based digital records that facilitate more efficient pathways from learning to earning.
An LER is more efficient and secure for both employers and job-seekers because it uses blockchain technology to provide security, trust, and transparency. Blockchain allows for independent verification of all the credentials put forth by an individual and allows for significantly more detail than a typical resume. For example, students and employees can list specific hard and soft skills as well as trainings and certifications instead of just degrees and past employers.
Conversely, employers can search LERs to find exact skills and work experience, and can be confident that the information is accurate. In addition, blockchain provides a trusted environment that allows an individual to control their information and determine who gets to see it and use it.
"At CNM we know how important it is to be able to match the educational goals of individuals with career pathways that will lead to quality life outcomes. We also know that it is critical to help employers find the talent they need to prosper as businesses," says CNM President Tracy Hartzler.
More broadly, a national LER system will also have important impacts on equity. People who are not able to complete a four-year degree but can complete a skills course such as CNM's Deep Dive Coding bootcamps will be able to use the LER system to advertise and elevate their credentials and Boost their marketability.
"Doing away with a system where a degree is the only way to signal your skills will open up a much more diverse pipeline of workers," says Bill Halverson, senior technology advisor for CNM Ingenuity, an arm of CNM that provides accelerated skills training to support key workforce needs.
Critical to the successful development of a National LER is interoperability, or the exchange and readability of data from and across multiple technology systems. That's why CNM Ingenuity collaborated with a number of experts while creating the nationally-broadcast report. Partners include IBM, which developed IBM Digital Credentials, a blockchain-based platform that manages the exchange of skills-based credentials; SOLID, a company that's using blockchain to help military members verify their skills so they can find civilian employment after leaving the armed forces; Randa, which is enabling teachers to use a digital wallet to verify everything from their credentials to their lesson plans; Public Consulting Group, which is leading North Dakota's statewide efforts on deploying K-12 blockchain learner records; and Western Governors University, a national higher education leader in building a skills-based learning and work ecosystem.
"With a focus on a national infrastructure for the overall learning and employment records ecosystem, CNM's report can help advance pathways for workers so they can move from learning skills to starting careers," says Sean Murphy, Senior Manager of Opportunity at Walmart. "Our investment in this effort is based on our belief that building educational and career pathways based on skills will open up opportunities for all."
The final LER report is called "A National Learning and Employment Record Infrastructure: Progress Towards a Skills Economy." It was reviewed by more than 20 LER pioneers and leaders who provided feedback on the concepts, architecture, and recommendations. Long-term, the report is not only designed to be informational but also provides state officials, CIOs, and ed tech providers with the "nuts and bolts" needed to understand and then start developing LER systems.
"LER infrastructure development is at a critical juncture in the United States, requiring the engagement of state and national leadership to help craft policy, convene key stakeholder groups, and designate funding to advance the adoption of data standards and LER systems designed for universal access and interoperability," says Halverson. "We think this report is an important step toward the adoption of a national LER infrastructure to meet the demands of the new workforce and a dynamically changing economy."
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SOURCE Central New Mexico Community College (CNM)
Black Hat, the international informational security event series, is scheduled to be held in Saudi Arabia, taking place from November 15-17 at the Riyadh Front Exhibition Center.
Black Hat MEA is set to welcome 30,000 visitors, making it the largest cybersecurity event in the region.
Following the success of @Hack, Black Hat MEA will host over 250 exhibitors and more than 200 speakers this year. The event will also host international tech giants, including Cisco, IBM, Spire, Infoblox and more.
The event is the result of a partnership between the Saudi Federation of Cybersecurity, Programming and Drones (SAFCSP) and Informa Markets.
“@hack set the bar for cybersecurity events across the region in 2021, surpassing our expectations across all measures. This success reflects Saudi’s position as a growing centre of global cybersecurity excellence & the global ecosystem’s confidence and curiosity in what we are building from the grassroots up” said Faisal Al-Khamisi, chairman, SAFCSP. “The credibility of evolving @hack to Black Hat MEA is a powerful indicator of our intentions within the cybersecurity space. This partnership will spark innovation, supercharge our capacity building and develop investment opportunities which we are excited to share with the world in November.”
He added: “IBM recently reported that a data breach in 2022 can cost a company an average of $4.35m. This cost is at its all-time highest now and sits at a 12.7 per cent increase from 2020. In today’s digital powered world, this is an alarming situation for all of us, but especially for those who are not aware nor possess the tools needed to protect their sensitive data. This is where Black Hat MEA comes in and cements its position as a must-attend event to generate awareness, create understanding around the importance of cybersecurity and educate on how to safely use tomorrow’s digital space to its maximum potential.”
Mike Champion, regional EVP of Informa Markets, added: “Last year, we launched the largest infosec show of 2021, worldwide. This year, it’s grown even more – more than 25,000 visitors have seen it with their own eyes, there’s now only one event that gives you so many elite hackers and CISO speakers, so large a community, such a variety of hacking tools, so much prize money, such a big buzz – and that’s Black Hat MEA in Riyadh.”
Event attendees will get the chance to meet a line-up of world-renowned speakers including CISOs of Equifax, Boom Supersonic and Lufthansa, Jamil Farshchi, Chris Roberts and Naby Diaw respectively; Dr Alissa Abdullah (Dr Jay), deputy chief security officer, Mastercard; Ira Winkler, chief security architect, Walmart; and Timothy Brown, VP and global chief information security officer, SolarWinds among others. The event will also welcome David Colombo, CEO of Colombo Technology.
The show will host demonstrations and product launches of the latest security solutions in areas such as software, services and training.
Black Hat MEA will feature training sessions held by Black Hat-approved trainers in a hands-on environment with training partners such as Offensive Security, we45, Orange Cyberdefense and Madiant; and the Executive Summit, which will host over 200 senior leaders in information security.
Other highlights include Arsenal, a developer space where the latest open-source tools and products are showcased by developers along with a hands-on experience; briefings, where infosec experts present research on industry trends, hacking tools and security vulnerabilities; and Capture The Flag, a jeopardy-style hacking tournament for over 1,000 participants to enhance their ethical hacking skills at different difficulty levels for a SAR 700,000 prize fund.
Other competitions include the Bug Bounty Cup, with a prize fund of SAR300,000 and the Start-Up competition where the top pitches present to seasoned judges, angel investors, tech experts, and government stakeholders for a cash prize of SAR90,000.
The event will also hold a merchandise design competition for talented digital artists where they can create artwork exclusively for the Black Hat MEA Cyber Heroes. The winning design will also be printed as a limited collection.