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Artificial Intelligence is on the Verge of Wearing the Hat of a Composer – Analytics Insight

Praising artificial intelligence a bit too much.

Artificial intelligence has successfully made its way in every industry including music. But it hits quiet strange to some as to how AI can be used in composing an art piece which requires acute human creativity.

But they say, Whatever you dream of is real. And this article is an exploration on that.

Apart from the fact that music serves as great source of entertainment, it also serves to quell several other disorders and issues of human mind, collectively termed as mental illness. Mental illness can be stress, over-thinking, loss of creativity, mind block and many other things that every human being faces.

Music is an effective way to overcome desolation. Researchers operating in the institute of brain, behavior and development called MAARCS have concluded music to be the best therapy for mental illness. Music is said to release endorphins and dopamines, chemicals responsible for happiness in adequate quantities. Psychologists heavily recommend music as an art therapy for individuals suffering from pathological problems such as too much stress and over thinking.

Given the fact that the music industry all over the world is prospering and growing by releasing new songs and albums every year and every month, the pressure that mounts up on lyricists and the composers is immense because meeting the deadline is an important objective.

A recent research conducted in an OpenAI laboratory on Jukebox, a famous state-of-art neural network has released its reports on experiments carried on AI to compose music and the results were promising. In this experiment, several songs with lyrics and metadata that bears the name of album, artists and the genre were fed to the jukebox and results were that new songs were produced by combining the lyrics and down-mixing of channels that produced mono audio.

Many such experiments were performed with AI to produce music and AI-powered gadgets were trained to produce lyrics could successfully produce results on genres like hip-hop, jazz and classical, opening a new door art production and creativity for musicians and the music industry on a whole.

While AI has been successful in demonstrating its powers in producing creative lyrics and musical pieces, it has certain limitations that cannot be overlooked. These limitations are as same as what is faced by the other industries the fundamental knowledge of artificial intelligence on a whole.

Many musicians, who are mostly familiar with the traditional methods of producing music, feel intimidated by the new techniques and methods, especially AI, which can be complex to be grasped at first. However, an eventual or gradual realization of its benefits can transform the music industry for good.

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Puget to Introduce Proprietary Software that Utilizes Artificial Intelligence to Optimize Distribution and Transportation Systems – GlobeNewswire

BOCA RATON, Fla., April 30, 2021 (GLOBE NEWSWIRE) -- Puget Technologies, Inc. (Puget; OTC PINK: PUGE), a Nevada corporation subject to reporting pursuant to Sections 13 and 15(d) of the Securities Exchange Act of 1934, as amended, announces that the companys Chief Technologies Officer (CTO), Victor Germn Quintero Toro has contributed proprietary software to Puget, subject to retained royalty rights, designed to improve the functioning of logistics in transportation and distribution systems. The methodology involved is believed to be unique and subject to protection as trade secrets, however, Puget may elect to reinforce such protection through patents in the near future.

The solutions currently available in the marketplace to manage distribution and transportation logistics are limited to just a few specifically customized applications. In contrast, Pugets software can solve extremely complex problems for its end users by customizing the myriad of variables not currently included in out-of-the-box modular software. It does so in a seamlessly integrated environment without the need for additional capital expenditures. By data mining in big data environments with advanced artificial intelligence algorithms and other proprietary trade secrets, Pugets newly acquired software is the only technology on the market today, in my opinion, that supports the majority of variables that affect these end users, commented Mr. Quintero Toro.

Designed specifically to seamlessly integrate functionality within the big data environments of existing distribution and transportation systems, the software does not replace existing technology. One of the main advantages of this solution is the optimization of companys operations since this software complements and enhances existing platforms to deliver efficiencies, enabling cost reduction without the need for a significant capital outlay. Im looking forward to commercializing this technology with Pugets assistance, Mr. Quintero Toro explained.

Mr. Quintero Toros past experience working to solve similar problems at Walmart distribution centers around the world contributed to the domain expertise needed to come up with such an innovative, integrated solution.

The software has already been beta tested in the public transportation system of the City of Manizales in the Republic of Colombia, where it achieved a 30% reduction in hydrocarbon emissions as a result of better route management. The beta test results were presented at the Congreso Latino-Iberoamericano de Investigacion de Operaciones (CLAIO), and a summary was published in the publication Annals of Operations Research and in the Journal of Heuristics.

Puget intends to commercialize this technology through licensing agreements, leveraging Puerto Rico as a springboard for rollout to Latin America and other parts of the world. The transportation and distribution problems on the Island, aggravated by unfortunate recent weather disasters, provide an opportunity for the technology to make a significant positive impact there. In addition, because of the substantial incentives provided by the Puerto Rico Incentives Code (Law No. 60 of July 1, 2019), Puget believes that the Commonwealth of Puerto Rico would be an ideal site as a worldwide research and development center, which will enable Puget to have a local presence as the team works directly with local business and government leaders to improve the Islands infrastructure.

For additional information, please contact Puget at 1-561-210-8535, by email at info@pugettechnologies.com or visit our website for continuing updates at https://pugettechnologies.com.

About Puget Technologies, Inc.Puget Technologies, Inc.(pugettechnologies.com) aspires to evolve into an innovation-focused holding company operating through a group of subsidiaries and business units that work together to empower ground-breaking companies to reach their next stage of growth. With a strategy that combines acquisitions, strategic investment strategies, and operational support,Pugetintends to provide a one-stop shop for growing companies who need access to both capital and growth resources, while enablingPugetand its stockholders to generate synergies and derive profit through pooled resources and shared goals. Pugetscurrent investment focus ranges from traditional industries like health care that are ripe for business model innovation to new markets that strive to solve big societal problems such as climate change. Publicly traded on the Pink Open Market under the ticker symbol PUGE,Pugetis committed to delivering a competitive return to investors.

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DeepMap Named to Forbes AI 50 List of Most Promising Artificial Intelligence Companies of 2021 – PRNewswire

To create the list, Forbes evaluated hundreds of submissions from the U.S. and Canada. An algorithm identified the top 100 companies with the highest quantitative scores. A panel of expert AI judges then reviewed the finalists to hand-pick the 50 most compelling companies.

"We are honored to be included on the Forbes AI 50 list for the second year in a row," said Mark Wheeler, DeepMap Co-Founder and CTO. "Over the past year, we have executed on our vision to offer a global map-engine-as-a-service for a full range of autonomous driving, from hands off, to eyes off, to mind off. Our customers include the world's leading automakers and suppliers, who work with us because we enable them to develop solutions that are reliable and affordable, and offer faster time-to-market."

DeepMap recently announced DeepMap HDR (High-Definition Reference), a service for companies who are building hands-free Level 2+ driving systems using crowd-sourced maps. Complementing existing perception-based autonomy platforms, DeepMap HDR registers and aligns myriad crowd-sourced perception outputs to generate and update live, high-fidelity maps with absolute accuracy and better relative accuracy. DeepMap HDR solves a critical piece of the puzzle for companies seeking to validate and improve crowd-sourced mapping data.

Forbes partnered with venture firms Sequoia Capital and Meritech Capital to create the third annual AI 50, a list of private, promising North American companies that are using artificial intelligence in ways that are fundamental to their operations. To be considered, businesses must be privately-held and utilizing machine learning (where systems learn from data to improve on tasks), natural language processing (which enables programs to "understand" written or spoken language) or computer vision (which relates to how machines "see").

About DeepMapDeepMap is accelerating safe autonomy by providing the world's best autonomous mapping and localization solutions. DeepMap delivers the technology necessary for self-driving vehicles to navigate in a complex and unpredictable environment. The company addresses three important elements: precise high-definition (HD) mapping, ultra-accurate real-time localization, and the server-side infrastructure to support massive global scaling. DeepMap was founded in 2016 and is headquartered in Palo Alto, Calif., with offices in Beijing and Guangzhou, China. Investors include Andreessen Horowitz, Accel, GSR Ventures, Generation, Goldman Sachs, NVIDIA, and Robert Bosch Venture Capital. For more information, see http://www.deepmap.ai.

Contact info: [emailprotected]

SOURCE DeepMap, Inc.

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Gatik Named to Forbes AI 50 List of Most Promising Artificial Intelligence Companies of 2021 – GlobeNewswire

PALO ALTO, Calif., April 26, 2021 (GLOBE NEWSWIRE) -- Gatik, the market leader in automating on-road transportation networks for B2B middle-mile logistics, announced today that it has been named to the Forbes AI 50 list which highlights private companies using artificial intelligence in meaningful, business-oriented ways to create innovative services and solve complex technology problems.

Operating on fixed, repeatable routes is the most effective way to deploy autonomous vehicles safely and at scale, said Gautam Narang, Co-Founder, and CEO of Gatik. At Gatik, we take a radically divergent hybrid approach towards the system architecture, implementation & validation of our Autonomous Box Trucks. We decompose the massive, monolithic Deep Neural Networks into micro-models whose intended functionality is restricted to a very specific explainable task, and build rule-based fallback & validation systems around them. Forbes recognition of our solution validates the strength of this approach - were honored to be included on this prestigious list and be recognized as a technology innovator.

Forbes, in partnership with Sequoia Capital, evaluated hundreds of companies serving a range of industries to recognize 50 private, U.S.-based companies for their innovative use of artificial intelligence. Gatik was selected for its leadership in using AI and machine learning to establish the first autonomous Middle Mile logistics network in North America, based on factors including technology, business model, growth, customers, revenue history, and valuation.

Gatiks technology focuses on 3 technical pillars to maximize safety and efficiency for short-haul logistics: using exponentially less data for training and validation by overfitting the modular stack for known routes; using a learning-first but deterministic approach, through hyper-optimization of micro-models using rich priors from known routes; and ensuring redundancies at system and component level. Combined with the companys operational expertise, this commercial grade autonomous solution enables Gatiks customers to reduce costs, maintain capacity and keep delivery times short.

About Gatik

Gatik was founded in 2017 by veterans of the autonomous technology industry and has established offices in Palo Alto and Toronto. The company focuses on short-haul, B2B logistics for Fortune 500 retailers such as Walmart and Loblaw, and has established the first autonomous Middle Mile logistics network in North America. Gatik enables its customers to optimize their hub-and-spoke supply chain operations, enhance inventory pooling across multiple locations, reduce labor costs and meet an unprecedented demand for contactless delivery.

Media Contact

Richard SteinerT: 416-836-9185E: richard@gatik.ai

Allison MatthewsT: 952-836-9626E: allison@skyya.com

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/b96fe7fe-dfb6-47f6-9864-0ef923320f7e

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The Global Artificial Intelligence (AI) Market is expected to grow by $ 76.44 bn during 2021-2025, progressing at a CAGR of almost 21% during the…

Global Artificial Intelligence (AI) Market 2021-2025 The analyst has been monitoring the artificial intelligence (AI) market and it is poised to grow by $ 76. 44 bn during 2021-2025, progressing at a CAGR of almost 21% during the forecast period.

New York, April 26, 2021 (GLOBE NEWSWIRE) -- Reportlinker.com announces the release of the report "Global Artificial Intelligence (AI) Market 2021-2025" - https://www.reportlinker.com/p04886893/?utm_source=GNW Our report on artificial intelligence (AI) market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.The report offers an up-to-date analysis regarding the current global market scenario, latest trends and drivers, and the overall market environment. The market is driven by the prevention of fraud and malicious attacks and chatbots in AI. In addition, the prevention of fraud and malicious attacks is anticipated to boost the growth of the market as well.The artificial intelligence (AI) market analysis includes end-user segment and geographic landscape.

The artificial intelligence (AI) market is segmented as below:By End-user Retail Banking Manufacturing Healthcare Others

By Geography North America Europe APAC South America MEA

This study identifies the increased employee productivity as one of the prime reasons driving the artificial intelligence (AI) market growth during the next few years.

The analyst presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters. Our report on artificial intelligence (AI) market covers the following areas: Artificial intelligence (AI) market sizing Artificial intelligence (AI) market forecast Artificial intelligence (AI) market industry analysis

This robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading artificial intelligence (AI) market vendors that include Alphabet Inc., CognitiveScale, Intel Corp., International Business Machines Corp., Microsoft Corp., Nuance Communications Inc., NVIDIA Corp., Oracle Corp., Tesla Inc., and Wipro Ltd. Also, the artificial intelligence (AI) market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to an analysis of the key vendors.

The analyst presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive research - both primary and secondary. Technavios market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast the accurate market growth.Read the full report: https://www.reportlinker.com/p04886893/?utm_source=GNW

About ReportlinkerReportLinker is an award-winning market research solution. Reportlinker finds and organizes the latest industry data so you get all the market research you need - instantly, in one place.

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Cloud computing spending accelerates again as Microsoft, Google chase AWS – ZDNet

Cloud computing spending in the first quarter of 2021 reached $41.8 billion, growing 35% on a year on year basis with Amazon Web Services still in the lead, according to analyst firm Canalys.

There are no surprises in the order of ranking among cloud giants in Canalys' Q1 2021 cloud spending report: Amazon Web Services (AWS) still leads with a 32% share of spending, trailed by Microsoft Azure with 19% and Google Cloud with 7%. Marketshare splits between the three businesses remains unchanged from last quarter.

All cloud giants saw pandemic-driven growth as enterprises accelerated digital transformations, with apps shifting to the cloud as well as data center consolidation.

SEE: Guide to Becoming a Digital Transformation Champion (TechRepublic Premium)

The new figures follow Amazon's Q1 results yesterday, where it revealed it is on target to earn $54 billion this year in revenue with quarterly sales growing 32% year on year. AWS contributed $4.16 billion to Amazon's operating income.

Microsoft this week also reported commercial cloud revenue of $17.7 billion in its Q3 FY 2021, up 33% from a year ago. Azure revenues grew 50%.

Canalys notes that Q1 2020 was the first time spending on cloud exceeded $40 billion and growth did accelerate, albeit at a lower rate than in 2018. Additionally, total spend was nearly US$11 billion higher than a year ago and nearly US$2 billion more than in Q4 2020.

The analyst puts Microsoft's growth down to its investments in the hybrid-cloud software-defined implementation of the control plane Azure Arc, Azure Synapse for data analytics, and AI Platform.

The Azure AI Platform falls within the newly formed Digital Transformation Platform Group at Microsoft.

Meanwhile, Google Cloud reported this week that it raked in $4.047 billion in sales in Q1 2021, growing revenues 46% year on year. Still, it posted an operating loss of $974 million, down from a loss of $1.73 billion in the same quarter last year.

Canalys notes Google Cloud benefited from Google cross-selling Google One consumer storage as well as its focus on industry-specific solutions, machine learning, analytics and data management.

According to Canalys, the growth isn't over either.

"Though 2020 saw large-scale cloud infrastructure spending, most enterprise workloads have not yet transitioned to the cloud," said Canalys research analyst, Blake Murray.

"Migration and cloud spend will continue as customer confidence rises during 2021. Large projects that were postponed last year will resurface, while new use cases will expand the addressable market."

SEE: Back to the office in 2021? Here are ten things that will have changed

Two other factors at play for cloud providers are latency and data sovereignty, which can be addressed by adding more regions. Microsoft is partly tackling demand for these with the Azure Modular Datacenter, or MDC, to help quickly establish infrastructure for 5G, smart cities and edge-computing needs.

Canalys chief analyst, Matthew Ball, noted cloud giants are facing new competition from traditional hardware providers like HPE, Dell, and Lenovo.

"It is not just a contest between the cloud service providers, but also a race with the on-premises infrastructure vendors, such as Dell Technologies, HPE and Lenovo, which have established competitive as-a-service offerings," said Ball.

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The Most In-Demand Cloud Computing Jobs For 2021 – CRN

The Top 10 Cloud Computing Jobs Being Sought In 2021

With the need for cloud computing on the rise, organizations across the country are seeking to hire cloud experts at an unprecedented rate, according to new 2021 job data from Indeed.

Throughout the last decade, Amazon, Google and Microsoft, among others, have invested heavily in building vast infrastructure and useful services, all while competing with one another to improve pricing, performance and reliability, said Scott Bonneau, vice president of global talent attraction at Indeed, in an email to CRN. Essentially every meaningful consumer application or service that you can think of today is based on cloud technology. As a result, the demand for cloud talent has shot up.

From March 2018 to March 2021, the share of cloud computing jobs per million increased by a whopping 42 percent, according to data from Indeed. During the same time period, searches per million for cloud computing jobs grew by nearly 50 percent.

CRN breaks down Indeeds top 10 most in-demand cloud computing jobs for 2021.

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Global Cloud Computing Market (2021 to 2025) – Featuring Adobe, Alphabet and Amazon Among Others – ResearchAndMarkets.com – Business Wire

DUBLIN--(BUSINESS WIRE)--The "Global Cloud Computing Market 2021-2025" report has been added to ResearchAndMarkets.com's offering.

The publisher has been monitoring the cloud computing market and it is poised to grow by $287.03 billion during 2021-2025, decelerating at a CAGR of over 17% during the forecast period.

The report on the cloud computing market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current global market scenario, latest trends and drivers, and the overall market environment. The market is driven by the increased inclination towards cloud computing for cost-cutting and the rise in the adoption of cloud among SMEs.

The cloud computing market analysis includes service segment and geographic landscape. This study identifies the control over data backup and recovery as one of the prime reasons driving the cloud computing market growth during the next few years.

Companies Mentioned

The report on cloud computing market covers the following areas:

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market and vendor landscape in addition to an analysis of the key vendors.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive research - both primary and secondary. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast the accurate market growth.

Key Topics Covered:

1. Executive Summary

2. Market Landscape

3. Market Sizing

4. Five Forces Analysis

5. Market Segmentation by Service

6. Customer landscape

7. Geographic Landscape

8. Vendor Landscape

9. Vendor Analysis

10. Appendix

For more information about this report visit https://www.researchandmarkets.com/r/9t23ff

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How cloud computing makes Joint All-Domain Command and Control possible – C4ISRNet

As the Pentagon moves to connect sensors with shooters on the battlefield, transporting and sorting data via cloud computing will be a fundamental need.

Joint All-Domain Command and Control, essentially a battlefield Internet of Things in which all types of platforms and sensors are linked, will require distributed computing and cloud-based networking to provide war fighters with the data they require on the battlefield.

In a recent webinar, the militarys top JADC2 official noted that need for cloud environments, including an enterprisewide cloud, whether that ends up being the delayed and contested Joint Enterprise Defense Infrastructure cloud or another solution.

Cloud is critical to what were trying to accomplish at least a hybrid cloud environment, said Marine Corps Lt. Gen. Dennis Crall, the Joint Chiefs of Staff director for command, control, communications and computers/cyber and chief information officer.

So, you know, whatever happens with JEDI will happen. [Its] clearly not within our control here. But make no mistake for the capacity argument, were going to need an enterprise-level capability to get after this for the war fight we need. From where we are today, were able to execute the limited experiments and testing that were doing. But Im sure as time goes on that solution is going to be more critical.

So why is cloud key to enabling JADC2?

JADC2 is all about federated; its about interconnected sensors, Ki Lee, a vice president at Booz Allen Hamilton, told C4ISRNET. So its not about servers being connected. Its actually about getting the sensors and platforms connected so its a network of those. But theres laws of physics in terms of what you can actually process on the SWaP [size, weight and power] of those different sensors, bandwidth, latency, so tactical cloud is going to be that real important piece of bridge.

Cloud computing will deliver war fighters the tools and information they need to make more informed decisions in more remote areas because it will connect separate databases of information, storing them in a kind of one-stop-shop where military members can go when trying to visualize the battle situation and plan their moves.

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Its a problem that the department is trying to solve with the JEDI cloud, a contract tied up in court worth up to $10 billion over 10 years. Dana Deasy, the former DoD CIO, said in 2019 that cloud would solve a major challenge he witnessed soldiers in Afghanistan experience: They had to use three separate systems to locate the enemy, make a decision and locate friendly forces before acting. A cloud environment with centralized data would have helped those soldiers.

There are tools that enable real-time decision-making informed decision-making at the speed of warfare. What is the basis of that? Its cloud. It is having your data connected and in a place where I can run analytics on it in real time or near real time, and then render informed decisions to support war-fighting missions, said Rob Carey, former Navy CIO and deputy DoD CIO, now president of Cloudera Government Solutions.

To connect sensors and shooters, war fighters need tactical cloud computing, or access to cloud environments in remote areas on smaller devices such as tablets. This would enable soldiers down to the lowest level of formations, such as squads, to have cloud access and could give them visibility comparable to a battalion or regiment, Carey said.

For example, cloud computing could provide soldiers or Marines on the ground with intelligence information that could inform actions on the battlefield, he said.

When we want to do call for fires, when we want to do things [where] peoples lives are in jeopardy or theyre at risk, we want that information right there so that they can render their own decision ... at the level of the squad, Carey said. So thats what cloud enables, that connectivity to that information.

The cloud will also give access at the edge to other important war-fighting data, such as logistical or medical information. And since that data will be stored in the cloud, the joint force will always have access to the latest, most up-to-date details.

Once its on the cloud, and as those systems get updated, its constantly updating, said Mike Davenport, senior vice president at Booz Allen Hamilton.

Remotely accessible tools would also reduce that amount of clunky hardware that war fighters have to lug to the battlefield, said Jeff Dixon, technical director for Crystal Group, a ruggedized hardware company.

Allowing the cloud to do a lot of that heavy lifting seems to be the right approach for not burdening the guys at the tactical edge with having to bring infrastructure with them, Dixon said. The cloud enables them.

Using cloud in the war-fighting environment would also reduce security vulnerabilities of systems communicating with other systems that havent installed the latest software. Davenport noted that the Army has realized this with a mission command app thats now based in the cloud.

Using the cloud, the Army has figured out, if I just put this mission command app on the cloud, those soldiers can access it directly, he said.

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Red Hat Looks to BU to Advance Hybrid Cloud Research | ITBE – IT Business Edge

During its online Red Hat Summit this week, Red Hat announced it is donating software valued at $551 million to Boston University (BU) to advance open source software development and hybrid cloud computing.

The software contribution is the largest Red Hat has ever made to any single institution, said Hugh Brock, director of research for Red Hat. The BU relationship is unique, he said.

Red Hat is also renewing an existing collaborative research and development initiative for five years that is valued at $20 million. The partnership is rooted in a Massachusetts Green High Performance Computing Center (MGHPCC) initiative that includes BU, Harvard University, and the University of Massachusetts. The ultimate goal is to build a hybrid cloud computing environment based on high-performance computing (HPC) platforms that could be accessed as a cloud service by researchers anywhere in the world, said Brock.

Researchers would no longer need to be concerned about the amount of HPC resources that any one institution might make available to them. All HPC platforms would be accessed via a common pool of infrastructure that could scale up or out as required.

Also read: Workflow Management Now Requires New Agile Tools

Red Hats research and development effort comes at a critical time for enterprise IT organizations. Most IT teams today are managing at least one cloud in addition to an on-premises IT environment. Over time, IT teams are expanding the number of cloud platforms they employ largely based on the unique requirements of varying classes of workloads.

The challenge IT teams face today is that each platform is managed in isolation from all the others, which typically requires a dedicated team to manage via a console that is optimized for a single platform. Each platform that is added to the IT firmament within any enterprise, therefore, winds up increasing the total cost of IT as additional management tools are acquired along with specialists that know how to employ them.

In the wake of the economic downturn brought on by the COVID-19 pandemic, IT teams are now trying to serve two masters. Organizations want to deploy workloads as they best see fit while, at the same time, reducing costs by centralizing the management of what is becoming a very extended enterprise.

Today, HPC environments run some of the most complex workloads, including AI models based on machine learning algorithms that consume massive amounts of data. Research that enables those classes of applications to run across a highly distributed computing environment will inevitably trickle down to enterprise IT environments.

Read also: Is Serverless Computing Ready to Go Mainstream?

In the meantime, application environments will continue to become more complex. Microservices-based applications based on containers, Kubernetes, and serverless computing frameworks, for example, are being deployed with greater frequency alongside legacy applications based on batch-oriented processes.

Modern applications, in contrast, make greater use of event-driven architectures to process and analyze data in near real time at the point it is being created and consumed. The unified open source management framework required to manage a diverse portfolio of applications that can be easily extended to a wide range of emerging and legacy computing platforms doesnt really yet exist. However, its clear that some of the best minds in the world are definitely working on building it.

Read next: APM Platforms are Driving Digital Business Transformation

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