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The future of VDI and cloud computing in 2022 – ITProPortal

Remote work has dug its heels into the labour force and is likely here to stay. Businesses now recognise that offering flexible work styles is key; and yet, its not just about allowing employees to work remotely.

Its also about empowering them to do their best work from wherever they are.

Companies that thrive in the remote work landscape will be those that make critical investments in helping their employees maximise efficiency while away from the office. Cloud services in particular are a crucial enabler of remote work that can facilitate employee productivity and happiness.

While cloud services might be the backbone of remote work, there are additional technologies that can be leveraged to upgrade a companys remote work capabilities.

VDI, or Virtual Desktop Infrastructure, allows employees within the same company to access their network quickly and securely, eliminating the stress of getting everyone on the same page when they work from home. With almost half (45%) of all employees now working remotely as a result of COVID-19, VDI has seen a big uptick in adoption.

As remote work becomes more widespread and facilitated, technologies that enable working from home like VDI will be more important for a company to index into.

In a survey conducted by Parallels to understand the state of virtual desktop infrastructure (VDI) and cloud computing 31.3% of respondents cited the ability to enable remote work as the most important reason for choosing VDI workloads, 24.1% of respondents cited security as the most important reason, and the third most important reason, at 18.8%, was as an enabler of flexible working, such as working from any device.

Employees often dont have the same level of cybersecurity at home as they do in the office, so whatever company data they access using personal devices becomes more vulnerable to malicious cyberattacks. It doesnt help that 30% of remote workers under the age of 24 say that they circumvent or ignore certain corporate security policies when those policies get in the way of getting work done.

Cybercrime has seen a massive uptick since the start of the pandemic and is expected to continue to wreak havoc on businesses throughout 2022 and beyond. For context, Forbes predicts that ransomware costs will exceed $265 billion by 2031. Cybersecurity is a massive business, and minimising the risk of breaches is a significant reason why a business might adopt a VDI solution for their employees.

In a VDI environment, data is stored in a central location rather than spread across users personal devices. That central location (e.g., a data center or a public cloud environment) is easier to secure than hundreds or thousands of personalendpoints, so data is easier to protect. Since applications and desktops are hosted in that same central location, theyre also easier for IT teams to harden, patch, and defend.

A VDI-solution enables end-users to securely access virtual applications and desktops from any location or device: desktop or laptop PCs, tablets, and even mobile phones.

That way employees can easily access all their files, data and applications as if they were running locally, and work from anywhere. The ability to smoothly swap collaborative documents between team members across a wide range of different devices, even old ones, is a vital aspect of efficient and productive remote work.

There is also no need to acquire new or upgrade existing hardware regularly. Users who practice BYOD, or Bring Your Own Device, can access the VDI at any time.

Despite myriad benefits, adopting a VDI solution to improve work from home efficacy isnt always plain sailing. There are common problems that may hinder VDI adoption. Parallels finds that the most common source of VDI issues occurs with applications and their updates.Coming in second is the network (14.2%), followed by the operating system (11.3%), and finally the endpoint device itself (10.4%).

Naturally, the more complex a VDI solution is, the more likely it is that users will encounter a problem somewhere along the line. For a technology that is meant to improve a workers ability to work from homereliably, this presents a crucial consideration when choosing a VDI provider. In short, businesses should look for VDIs with a simple architecture to minimise potential problems.

Problems are unavoidable in almost any technology, so rather than looking for an ideal solution, it becomes more important to look for the least problematic.A survey conducted of customers who already use VDI shows thatthe highest percentage of respondents (42.5%) spend less than one day per month troubleshooting VDI performance issues, while 38.6% spend one to three days. These companies may be using VDI solutions with a simpler architecture that dont add much extra time to their IT teams workload.

Another obstacle to overcome in the adoption of VDI is that it requires a certain level of skill to equip and maintain. Professionals with a sufficiently high level of IT capability to manage a VDI system are in high demand, and it can take up to 50 staff to maintain a VDI system.

That said, 50 is the highest end of the spectrum, and most companies only require five or fewer staff to cover the maintenance of their VDI. Some businesses have chosen to outsource this task. Depending on the current level of a companys IT staff, it can be difficult to assess whether or not maintaining a VDI solution is feasible, or whether the company will also have to invest in training their employees.

Again, this problem highlights the importance of choosing a simple, intuitive, and user-friendly VDI solution that doesnt require complicated servicing.

VDI represents a scalable solution that enables working from home, and as remote work becomes more common, choosing the right VDI solution will become more important.

There are many factors to consider when deliberating: How secure is it? Is it simple enough that my current IT staff can manage and maintain it? Will I need to invest in training, and how much time will be spent fixing problems that arise from this technology?

Christa Quarles is CEO at Corel.

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Cloud Computing in Automotive Market Revenues to Soar to $XX Billion by 2028 NA ZNews Africa – ZNews Africa

Introduction and Scope

Cloud Computing in Automotive Market research is an intelligence report with meticulous efforts undertaken to study the right and valuable information. The data which has been looked upon is done considering both, the existing top players and the upcoming competitors. The Cloud Computing in Automotive market research analysis covers ideas, classifications, implementations, industry chain structure, and a basic review of the area. The exact investigation of Cloud Computing in Automotive implementations utilized in market analysis. The report emphasizes significant segment characteristics such as increasing US dollar demand by end-user segments and business size, as well as adjustments in the target market. It also gives data on the volume and significance of several Cloud Computing in Automotive sub-segments of the corporate field. Cost and implementation methods, as well as growth objectives and recommendations, are frequently discussed in the research.

The influence of the latest government guidelines is also analysed in detail in the report. It studies the Cloud Computing in Automotive markets trajectory between forecast periods. The cost analysis of the Global Cloud Computing in Automotive Market has been performed while keeping in view manufacturing expenses, labour cost, and raw materials and their market concentration rate, suppliers, and price trend.

Development policies and plans are discussed, and manufacturing processes and industry chain structures are analyzed. This report also gives the import/export, supply, and consumption figures, as well as manufacturing costs and global revenues, and gross margin by region. Numerical data is backed up with statistical tools such as SWOT analysis, BCG matrix, SCOT analysis, and PESTLE analysis. Statistics are presented in graphical form to provide a clear understanding of the facts and figures.

Global Cloud Computing in Automotive market competition by TOP MANUFACTURERS, with production, price, revenue (value) and each manufacturer including: NA

Results of the recent scientific undertakings towards the development of new Cloud Computing in Automotive products have been studied. Nevertheless, the factors affecting the leading industry players to adopt synthetic sourcing of the market products have also been studied in this statistical surveying report. The conclusions provided in this report are of great value for the leading industry players. Every organization partaking in the global production of the Cloud Computing in Automotive market products have been mentioned in this report, in order to study the insights on cost-effective manufacturing methods, competitive landscape, and new avenues for applications.

This report contains a thorough analysis of the pre and post pandemic market scenarios. This report covers all the recent development and changes recorded during the COVID-19 outbreak.

Market Trends

The growing population of sports enthusiasts, coupled with the rising number of regional and international sports leagues, have fueled the demand for Cloud Computing in Automotive. Additionally, the market is also catalyzed by rapid urbanization, along with the growing popularity of the online retail sector. The emergence of e-commerce has boosted the sales of a wide variety of legitimate premium-quality merchandise along with providing a seamless shopping experience to consumers at competitive prices. Moreover, the increasing penetration of breathable, lightweight, and waterproof sports apparel and accessories has led to their rising adoption as casual and gym wear. Additionally, the elevating consumer living standards supported by their increasing disposable income levels have further propelled the demand for premium sports products. Besides this, the rising investments in sports licensing across the globe are anticipated to impel the market growth in the coming years.

Global Cloud Computing in Automotive market is segmented based by type, application and region.

Based on Type, the market has been segmented into: Amazon Web Services, Microsoft Azure, and Google Cloud Platform

Based on application, the market has been segmented into:

Regional Analysis For Cloud Computing in Automotive Market

North America (the United States, Canada, and Mexico)

Europe (Germany, France, UK, Russia, and Italy)

Asia-Pacific (China, Japan, Korea, India, and Southeast Asia)

South America (Brazil, Argentina, Colombia, etc.)

The Middle East and Africa (Saudi Arabia, UAE, Egypt, Nigeria, and South Africa)

The objectives of the report are:

To analyze and forecast the market size of Cloud Computing in Automotive Industry in the global market.

To study the global key players, SWOT analysis, value and global market share for leading players.

To determine, explain and forecast the market by type, end use, and region.

To analyze the market potential and advantage, opportunity and challenge, restraints and risks of global key regions.

To find out significant trends and factors driving or restraining the market growth.

To analyze the opportunities in the market for stakeholders by identifying the high growth segments.

To critically analyze each submarket in terms of individual growth trend and their contribution to the market.

To understand competitive developments such as agreements, expansions, new product launches, and possessions in the market.

To strategically outline the key players and comprehensively analyze their growth strategies.

Key questions answered in the report:

1. What is the growth potential of the Cloud Computing in Automotive market?

2. Which product segment will take the lions share?

3. Which regional market will emerge as a pioneer in the years to come?

4. Which application segment will experience strong growth?

5. What growth opportunities might arise in the Cloud Computing in Automotive industry in the years to come?

6. What are the most significant challenges that the Cloud Computing in Automotive market could face in the future?

7. Who are the leading companies on the Cloud Computing in Automotive market?

8. What are the main trends that are positively impacting the growth of the market?

9. What growth strategies are the players considering to stay in the Cloud Computing in Automotive market?

About Us

Adroit Market Research is an India-based business analytics and consulting company incorporated in 2018. Our target audience is a wide range of corporations, manufacturing companies, product/technology development institutions and industry associations that require understanding of a markets size, key trends, participants and future outlook of an industry. We intend to become our clients knowledge partner and provide them with valuable market insights to help create opportunities that increase their revenues. We follow a code Explore, Learn and Transform. At our core, we are curious people who love to identify and understand industry patterns, create an insightful study around our findings and churn out money-making roadmaps.

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Cloud Computing in Automotive Market Revenues to Soar to $XX Billion by 2028 NA ZNews Africa - ZNews Africa

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DigitalOcean: Pure-Play Cloud Provider With 30% Cash, 30+% Growth, Positive Free Cash Flow – Seeking Alpha

jeffbergen/E+ via Getty Images

Youd think that DigitalOcean (DOCN) would be trading at nosebleed multiples considering its positioning in the cloud computing sector, but the recent volatility in the tech sector has sent the stock crashing 60% from all time highs. The company has seen accelerating revenue growth and has sustained solid positive adjusted EBITDA margins as well. After a recent convertible note offering, the company has around 30% of its market cap held in cash. I expect the company to sustain solid growth over the long term which coupled with high profit margins should help the stock earn a premium multiple and reward shareholders with strong returns.

DOCN came public at $47 per share in March of 2021. The stock briefly traded as high as $133 per share, before falling all the way back down to around $52 per share.

YCharts

The stock now trades barely above its IPO price, despite having grown considerably in the past year.

DOCN is a cloud computing company with 600K customers across 185 countries.

DigitalOcean 2021 Q3 Presentation

Just to make sure we are all on the same page, DOCNs primary competitors are the likes of Amazon Web Services (AMZN) and Microsoft Azure (MSFT). Cloud computing provides the backbone of the cloud. Before things were available on the cloud, you would have to download software and use products locally on your computer without the internet. The cloud makes it so you can use applications like Facebook (FB) without downloading any software. Amazon Web Services provides servers which allow FB to operate on the cloud. In some sense, the internet as we use it today is powered by cloud computing providers like DOCN.

Unlike Amazon Web Services or Microsoft Azure, DOCN is a smaller operator and specifically caters to smaller businesses. This makes sense, as it isnt easy to compete with mega-cap tech giants in the cloud computing space. DOCN offers lower prices and (in its own words) a simpler platform, making it easier and cheaper to get started.

DigitalOcean 2021 Q3 Presentation

This dynamic does make sense. Azure and AWS likely offer more capabilities and thus use that to justify higher prices. For smaller companies looking for a simpler solution, DOCN makes a lot of sense.

Even in this smaller market, DOCN sees its total addressable market growing rapidly to $116 billion by 2024.

DigitalOcean 2021 Q3 Presentation

Both MSFT and AMZN look investible today, but one is unable to invest directly in their cloud divisions. DOCN offers a way to invest in a quality pure-play cloud computing operator, something that may appeal to many tech investors.

DOCN has seen its revenue growth accelerate over the past few quarters. Revenue growth came in at 37% in the latest quarter.

DigitalOcean 2021 Q3 Presentation

DOCN has coupled the rapid growth with solid adjusted EBITDA margins of 30%.

DigitalOcean 2021 Q3 Presentation

Sure, it is not real profitability due to the heavy influence of equity-based compensation, but it does mean that DOCN is generating cash flow and thus not in risk of falling in financial distress.

It is worth noting that DOCN has seen improving net dollar retention rates as well.

DigitalOcean 2021 Q3 Presentation

DOCN has historically seen elevated churn rates, but it appears that it is improving its churn rates through improving its product offerings. I note that DOCN completed a $1.3 billion convertible note offering in November at a 0% interest rate and conversion price of $178.51 per share - talk about perfect timing. Including that offering, DOCN should have around $1.8 billion of cash on its balance sheet.

Consensus estimates call for DOCN to sustain 30% growth rates for many years.

Seeking Alpha

Like AWS, DOCN is highly profitable and it is reasonable to expect the company to generate solid profit margins over the long term. If we assume 30% long term net margins and a 1.5x price to earnings growth ratio (PEG ratio), then DOCN might find itself trading at 9x sales in 2030, representing a stock price of $336 per share. That represents 546% upside, or annualized returns of 23% over the next 9 years. For a company with ample net cash on its balance sheet and positive cash flow generation, that is a very attractive potential return profile. I note that I have not even factored in the cash making up over 30% of the market cap.

The key risk is definitely competition with mega-cap tech cloud computing giants. What if AWS and Azure try to reduce prices to take market share away from DOCN? It is unlikely that DOCN will be able to innovate fast enough to offer a competitive product if the prices are comparable.

Another risk is the companys customer concentration. Management noted the following on its conference call:

One of the key drivers of our faster revenue growth is that we are nurturing and attracting increasingly larger and more rapidly growing businesses to our platform, what we would consider the typical SMB. These larger customers represent roughly 15% of our total customer base, yet generate roughly 85% of our total revenue. They grow substantially faster than our reported top line growth with ARPU growth of over 50%. (2021 Q3 Transcript)

An optimistic take is that DOCN will benefit from very predictable growth as it will come from a handful of sources. A pessimistic (but more realistic) take is that DOCN may be subjected to revenue volatility if any of these larger customers decide to switch cloud providers. It isnt that easy to switch cloud providers, but it is not impossible.

I rate shares a buy on account of the long term secular growth drivers of cloud computing and the high profit margins. I expect shares to be volatile in the current environment, but wouldnt be surprised if multiple expansion occurs over time. In particular, I could see the stock trading up to around 22x sales on positive sentiment, as profitable tech stocks with solid secular growth stories have tended to maintain premium multiples relative to the tech sector.

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DigitalOcean: Pure-Play Cloud Provider With 30% Cash, 30+% Growth, Positive Free Cash Flow - Seeking Alpha

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Gartner: How to overcome a lack of cloud skills in your organisation – ComputerWeekly.com

Cloud is a technology that has risen exponentially in recent years and which has been buoyed by the switch to remote working and increased need for off-site storage and support during the pandemic. However, with increased adoption, executive leaders are wanting cloud computing adoption to proceed at a faster pace than their organisations can staff internally.

To meet this challenge, business leaders must consider the following five steps if they are to successfully manage their cloud projects effectively.

To handle the skills gap, first support, monitor and measure the progress of the management team against cloud skills initiatives. To facilitate this progress, ensure roles across the business are divided by expertise, allowing for achievable hiring goals. For example, for such a cloud project, a programme or portfolio management approach will be needed.

By dividing responsibilities, the organisation will need a programme management office (PMO) that works with the cloud centre of excellence (CCOE) to drive the approach effectively, rather than demanding that cloud architects also possess project management skills.

Upskill existing staff with cloud skills, using relationship-based and experiential learning from experts. For more technical staff members, their skillset must span different IT domains.

Also, ensure that the technical leaders overseeing your organisations cloud initiatives are strategic thinkers with business acumen, big-picture perspectives and team-player mindsets who can communicate with diverse audiences and be agile in thought and action.

To reinforce the project, consider permanently hiring new employees with the necessary skills for the cloud project. New employees will also have to take time to learn the business and IT environment, but recruitment can be streamlined toward key experienced hires who accelerate such cloud computing initiatives.

In supplementing internal processes, look to bring on contractors from staffing agencies or hire independent contractors. This can be a useful way to acquire junior and mid-level people to perform cloud-related tasks and staff cloud projects.

Senior-level contractors can also be excellent partners and one of the swiftest and most effective ways to acquire the necessary skills. A key consideration, however, is to avoid allowing such senior-level contractors to make strategy or policy decisions.

The final step is to procure external service provider (ESP) assistance, usually in the form of a cloud managed service provider (MSP). This can be taken as a project-based approach, or a medium-to-long-term managed services approach. Selection must be careful, with large differences existing in ESP skills and experience and low-quality assistance often seriously reducing satisfactory cloud outcomes.

Lydia Leong is aGartner distinguished vice-president research analyst

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Global Cloud Computing Services for the Healthcare Market Research Report Covers Future Trends, Growth, Value Chain and Industry Strategies 2021 to…

The MarketandResearch.biz, on Global Cloud Computing Services for the Healthcare Market from 2021 to 2027 research report delves into the industry and major market trends, as well as historical and forecasted market data. A market overview, as well as definitions and applications, are included in the study. In terms of volume and value, the analysis advertises its goods by application, kind, and area.

For each industry, the study includes some background information as well as a revenue projection analysis. The revenue projection is based on current market performance as well as a fast assessment of historical data for the segment. To provide clients a clear image, the market attractiveness graph was utilised to demonstrate the future direction of each category.

DOWNLOAD FREE SAMPLE REPORT: https://www.marketandresearch.biz/sample-request/172960

In addition, the studys framework is designed to highlight upcoming events and opportunities in the global Cloud Computing Services for the Healthcare sector over the next several years. The market will encounter a range of drivers and constraints, opportunities, and difficulties throughout the predicted time period, according to the research report. In addition, the study examines the markets regional features, which will influence its growth from 2021 to 2027.

Segment the market based on the type of product:

Application-based market segmentation

Region-based market segmentation:

Players Market Segmentation:

ACCESS FULL REPORT: https://www.marketandresearch.biz/report/172960/global-cloud-computing-services-for-the-healthcare-market-2021-by-company-regions-type-and-application-forecast-to-2026

The market well reflected the total volume of sales and marketing, the maximum cost of production and consumption, profit margins, import and export, cost structure analysis, in-depth pricing analysis, vendor landscapes, and basic criteria for appropriate market evaluation. The study assists in the discovery of new marketing possibilities and provides an in-depth analysis of the current global Cloud Computing Services for the Healthcare market.

Customization of the Report:

This report can be customized to meet the clients requirements. Please connect with our sales team ([emailprotected]), who will ensure that you get a report that suits your needs. You can also get in touch with our executives on +1-201-465-4211 to share your research requirements.

Contact UsMark StoneHead of Business DevelopmentPhone: +1-201-465-4211Email: [emailprotected]Web: http://www.marketandresearch.biz

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France: the CNIL has released its annual dawn raid Program for 2022: three key priorities! – Lexology

The French Supervisory Authority (the CNIL) regularly conducts investigations based on various triggering events such as a complaint, an article or its annual program that the CNIL regularly publishes on its website.

On 15 February 2022, published a post regarding its upcoming dawn raids for 2022.

As a reminder, in 2021, the CNILs priority topics were (i) the cybersecurity of the French websites, (ii) the security of the health data and (iii) compliance with the rules applicable to cookies and other trackers further to its recommendations and guidelines released in March 2021.

For 2022, the CNIL has decided to focus its attention on three topics which should represent one third of the dawn raids to be carried out. One of the topics relates to marketing rules, which are regularly monitored by the CNIL due to the number of claims received. Another key topic is teleworking which developed with the pandemic. The third topic is the use of the cloud services, which is becoming an increasingly sensitive issue within the EU in particular in relation to transfers to the US.

Further to a public consultation, the CNIL has published the final version of its reference framework for the processing of personal data in the context of Commercial Management. This reference framework includes the applicable legal basis for each type of processing activity, the relevant data retention terms and the technical and organizational measures to ensure the security of the personal data. The CNIL refers to the several guidelines it has published to help the various stakeholders, notably in relation to direct marketing (email, SMS, phone, post), commercial management, cookies and others trackers, attendance measurement systems, behavioral targeting, online payments, and templates of information notices.

The CNIL also provides further guidance regarding the transmission of personal data, with or without remuneration, to business partners (e.g., data brokers, data resellers) and will particularly check the compliance of these professionals and intermediaries with the CNILs guidance in this reference framework.

With the COVID-19 pandemic, and the return to normal life, the use of telework has developed with specific tools, including those enabling employers to monitor the teleworking of employees.

Since 2020, the CNIL provided several rules and good practices notably through a Q&A regarding the teleworking, advising employers on the implementation of reinforced security measures to ensure the security of the personal data processed by employees who telework and precautions to take when using visio conference tools, to ensure the right balance between privacy at work and employers legitimate interest to monitor its employees work.

As a result, employers allowing teleworking have to ensure that such practice does not infringe the GDPR and the CNILs guidance.

Given the use of cloud computing technologies in all sectors, the CNIL is particularly concerned by the massive international data transfers to third countries that cloud computing technologies entail, as well as the risk of data breaches.

Regarding, the international data transfers, the CNIL has announced that it will be looking in greater detail the conditions of data transfers and the contractual framework implemented between companies (acting as data controllers) and cloud solution providers (acting as processor).

At the same time, the EDPB released a press release informing the launch of coordinated enforcement on the use of cloud technologies in the public sector. In France, the CNIL has already announced its investigations into five ministries. Therefore, the public sector stakeholders appears to be the priority for the CNIL, notably on the following subjects: process and safeguards implemented when acquiring cloud services, challenges related to international transfers, and provisions governing the controller-processor relationship.

However, private sector stakeholders should not become complacent, as investigations could potentially shift to the private sector. It is therefore important to get prepared and start the compliance review and risk assessment process in relation to any international data transfers that may occur in the context of processing activities using cloud computing.

Regarding possible data breaches that may occur in the context of cloud computing technologies, the CNIL confirmed that this is an issue which is under scrutiny, but did not detail the points of control. We can anticipate that the CNILs agents will check the record of breaches, and the decisions to whether or not to notify a breach, and will review the related documentation, including the existence of an internal data breach procedure in compliance with the French Data Protection Law.

Controllers and processors should therefore get prepared and document their various compliance efforts for 2022!

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France: the CNIL has released its annual dawn raid Program for 2022: three key priorities! - Lexology

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Cudos Shines At ETHDenver 2022 And Crypto AM Event – Benzinga – Benzinga

Cudos, the decentralized cloud computing network, is marching towards its mainnet launch in March. The Cudos development team has been heads down on building the infrastructure to launch the mainnet and has made enormous progress.

Beyond the preparations for mainnet, the team attended two events in February, generating awareness around its vision of creating a decentralized, scalable compute network. First, a conversation at DAODenver, part of ETHDenvers BUIDL week, and second, Matt Hawkins, Cudos Founder, and CEO, was part of the panel discussion at Crypto AMs event to talk about multi-chain interoperability in the blockchain space.

ETHDenver 2022

(Cudos Logo being shown on stage at the ETHDenver 2022 event)

At the recently concluded ETHDenver, the longest-running ETH event in the world, Pete Hill, Vice President Sales, and Simon Bogdanowicz, executive advisor to Cudos, participated in an insightful discussion around Layer 1 blockchains, cleverly named Fork this! Gimme another L1!.

"We choose the tendermint protocol in the Cosmos ecosystem to build the Cudos blockchain as interoperability is key to us. The InterBlockchain Communication allows us to work with other layer one platforms and provide them access to the decentralised cloud computing layer of Cudos. We are poised to realise the vision of the metaverse, which will need 1000X higher computing to mint and transact the assets," explained Pete Hill to the audience at DAODenver.

(The Cudos team at ETHDenver 2022)

ETHDenver was the perfect opportunity for the Cudos team to have conversations with like-minded projects keen to contribute to the blockchain and decentralized cloud computing space and discover organic partnerships to power their projects.

"At ETHDenver, you get to interact with people from different walks of life, coming together with a shared goal of applying decentralization to solve the current limitations. It was a great platform to catch up with the Cudos community, exchange ideas, and make connections within the crypto space," Simon Bogdanowicz said about the event.

Cudos Sponsors Crypto AM Event

(Cudos Founder and CEO, Matt Hawkins speaks at the Crypto AM event)

Additionally, Cudos founder and CEO Matt Hawkins was part of Crypto AM's Valentines Keynote, Networking & Soire, where Londons crypto community gathered to exchange ideas. Sponsored by Cudos, the theme of the evening was 'Is multi-chain interoperability the path to true blockchain mass adoption?'.

Matt and other speakers discussed the route for blockchain from its current place to how multi-chain interoperability is the vehicle to reach mass adoption.

"With interoperability, we can use the best of every protocol and then share on two different blockchains. At the moment, users have to choose between low transaction costs, high compute, or liquidity, as you don't get everything with every single blockchain. As they become interoperable, you can use compute on the Cudos network and opt for the low-cost transactions or transferring data functionality of another blockchain," explained Matt Hawkins.

Matt shared the panel with Ken Olling, co-founder and CEO of MELD, and other industry heavyweights.

Support Decentralization

Notably, with the upcoming mainnet launch, Cudos will challenge the monopoly of centralized cloud providers. Therefore, the team will reward data centers and cloud service providers with attractive incentives if they register their interest and participate in the pilot.

About Cudos

Cudos is powering the metaverse bringing together DeFi, NFTs, and gaming experiences to realize the vision of a decentralized Web 3.0, enabling all users to benefit from the growth of the network. Were an interoperable, open platform launchpad that will provide the infrastructure required to meet the 1000x higher computing needs for the creation of fully immersive, gamified digital realities. Cudos is a Layer 1 blockchain, and Layer 2 community-governed compute network, designed to ensure decentralized, permissionless access to high-performance computing at scale. Our native utility token CUDOS is the lifeblood of our network and offers an attractive annual yield and liquidity for stakers and holders.

For more:

Website, Twitter, Telegram, YouTube, Discord, Medium, Podcast

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Cudos Shines At ETHDenver 2022 And Crypto AM Event - Benzinga - Benzinga

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Edge vs. Cloud: Which AI Infrastructure to Opt For? – Analytics Insight

Edge vs. Cloud: Which AI Infrastructure to Opt For?

Edge computing is all the buzz these days. Touted as the most exciting technology shift in recent years, discussions about its transformative powers are aplenty! With increasingly powerful AI/ML algorithms redefining intelligence and the availability of cheaper more powerful edge devices, the hype is turning out to be largely real. But if one were to consider the history of edge computing, it goes further back than what the recent interest would have us believe. In fact, computing and intelligence first started at the edge at a time when high bandwidth network connections were virtually non-existent for most applications. Even in the late 1990s, critical measurement devices deployed remotely in a plant or a field often had dedicated computational capability for processing incoming sensor data. The algorithms in these devices were however only rudimentary in their intelligence: mostly signal processing or data transformations. With improvements in network capability and increased connectivity, cloud-based computing started to gain traction in the late 2000s. In parallel, powerful AI algorithms rose to prominence as a means to unlock meaningful information from swathes of structured and unstructured data. In just about a decade, cloud AI had become the go-to choice for AI applications. But the shift to the cloud brought with it several concerns as well: data upload and download costs, network reliability, and data security to name a few. At the same time, the trade-off for edge computing between processing capability and cost or footprint was diminishing with the rise of affordable yet powerful edge devices. It seems that we have now come full circle back to considering edge computing as a viable and attractive option for building intelligent applications.

As the debate rages on about which option is better edge AI or cloud AI, anyone who is familiar with these two frameworks would likely respond that it depends!. The reason is that edge and cloud infrastructures are not competing but complementary frameworks. Both have seen tremendous evolution and sophistication in the last few years, particularly as a base for AI development and deployment. As with any technology selection, the choice really boils down to the specific application: the objectives, value drivers, and economics as well as any constraints on power, footprint, and connectivity. Thus, it is imperative to understand the pros and cons of both cloud and edge AI before attempting to build the right infrastructure.

Cloud-based AI is an attractive choice when seeking flexibility, scalability, and ease of deployment. Most cloud service providers today provide robust frameworks for training and deployment of AI models along with pay-as-you-go packages with little to no upfront commitment or investment. The cloud offers computational and storage options with few limitations, making it particularly suited for large AI models. But it can become an unwieldy option for real-time applications that require continuous assessment of sensor or image data as they incur significant costs by having to stream data back and forth. This data transfer also makes the cloud largely unsuited for low latency applications requiring closed-loop control or immediate actions.

Edge AI on the other hand is the logical choice for real-time data analysis for automated alarms or closed-loop control. While edge infrastructure does require an upfront investment in edge hardware, the operational costs are significantly lower compared to that for the cloud. Today, a wide variety of edge AI hardware options are available including NPUs (neural processing units), TPUs (tensor processing units) as well as SoCs (system on chip) and SoMs (system on module) with dedicated AI accelerators. Low cost and low power hardware for AI is an area of active research and is likely to provide superior options going forward. On the flip side, AI-based consumer applications have to deal with rather diverse edge devices (mobiles, tablets, PCs, etc), making edge deployment a potentially daunting prospect. Hence, edge infrastructure may not be conducive to rapid prototyping and doesnt scale as easily either. While federated learning, the concept of distributed training for AI models allows for both training and deployment on the edge, the cloud remains the logical choice for training large models requiring adequate computational power.

But the solution doesnt necessarily have to be an either-or choice. As applications transition to a more microservices-based architecture, they can be broken down into smaller functionalities or microservices with their own specific deployment framework. So instead of having to choose between cloud and edge, the focus can be on using both optimally for a specific application. For example, an application might start off with a quick prototype on the cloud. As it evolves, functionalities that require low latency and real-time decisions can be transitioned to the edge, while those that require scale and flexibility can be retained in the cloud. Model training or re-training can be centrally managed in the cloud while some federated learning on the edge can increase accuracy locally. Similarly, sensitive data can be processed on the edge and more generic data relegated to the cloud.

Organizations, developers, and practitioners would do well to think of the cloud and the edge not as distinct alternatives, but really as a continuum from edge to cloud with many diverse infrastructure options in between. That includes different types of edges operational edge, network edge, mobile endpoint, etc, and different types of distributed processing on the network private cloud, public cloud, cloudlet, fog computing, and so on. While the complexity can be a challenge, finding the right mix of technologies is starting to present a unique opportunity for organizations to maximize the value of AI while simultaneously minimizing the cost and risk.

Anusha Rammohan, Member of The IET and Senior Technology Leader, Myelin Foundry

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Is it enough to rely on the cloud for backups? – ETCIO

Nearly a decade ago, prominent tech journalist Mat Honan from The Wired had his worst nightmare come to lifehis nearly entire digital presence, including content on his iPhone, iPad, and MacBook Pro were wiped clean. His over a year's worth of personal memories, which included the pictures of his young daughter, were also wiped clean. The disaster happened as hackers targeted and eventually breached Honan's Twitter, Google, and iCloud accounts all in order to gain access to his coveted Twitter account.

Honan like many of us relied on the cloud for the backup of his personal and professional data, most of which was lost in the incident. Yet, a decade later, many organizations still believe that by merely being on the cloud, your backups are automatically taken care of by the cloud provider.

Hackers, in recent years, have also been targeted backups that could make recovery from a security incident even harder if a proper backup plan is not put into place.

You can perhaps take a leaf out of some of the leading enterprises' playbooks on how best to deal with cloud backups as we go through the same in detail in this week's newsletter.

Let us know your thoughts.

RegardsVarun AggarwalEditor, ETCIOvarun.aggarwal@timesinternet.in

Should you rely on cloud providers for backup and recovery?

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An accomplished industry veteran with 27 years of experience, Dillip joins CtrlS from Amazon Web Services (AWS) where he played a key role as the Head of Energy Strategy APAC based out of Singapore. Prior to Amazon, he has worked with GE, Vestas, and Power Grid Corporation of India in different leadership roles. Dillip is a postgraduate in management from National University of Singapore and holds a degree in electrical engineering from NIT Rourkela.Read More...

Mubadala leads a $500M+ equity round into Princeton Digital Group

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RBL Banks CIO illustrates how to build a robust availability and backup strategyFor a bank, there's nothing more important than delivering an always-on customer experience. However, most current technologies are inadequate in ensuring this. Periodic backups that only provide a snapshot in time are not compatible with demands for Recovery Time Objective (RTOs) and Recovery Point Objective (RPOs).

Sankarson Banerjee, Chief Information Officer, RBL Bank believes that banks today have become a 24x7 business like e-commerce and the data & apps underlying the banks similarly needs to be always on. This has made modernising backup and storage strategy has been made a business priority. Read More...

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Digital Transformation Market Size Worth $1,759.4 Billion By 2028: Grand View Research, Inc. – PRNewswire

SAN FRANCISCO, Feb. 23, 2022 /PRNewswire/ --The global digital transformation market size is estimated to reach USD 1,759.4 billion by 2028, registering a CAGR of 23.6% over the forecast period, according to a new report by Grand View Research, Inc. The increasing adoption of advanced technologies, such as the Internet of Things (IoT) and machine learning, across several industries/sectors, is encouraging businesses to implement connected, analytical, and data-rich solutions via digital transformation. These solutions are capable of encapsulating intelligence into business operations to facilitate improved and more effective customer engagements. Moreover, the growing usage of mobile devices, smartphones, and applications across business functions is increasingly promoting digitization.

Key Insights & Findings from the report:

Read 110-page market research report, "Digital Transformation Market Size, Share & Trends Analysis Report By Type (Solution, Service), By Deployment (Hosted, On-premise), By Enterprise Size (Large, SME), By End Use (BFSI, Healthcare), And Segment Forecasts, 2021 - 2028", published by Grand View Research.

Digital Transformation Market Growth & Trends

Digital transformation enables organizations to mitigate business risks and manage disruptions, such as corporate restructuring, marketplace fluctuations, unforeseen pandemics, and unpredictable geopolitical environments, more efficiently. It enables organizations to address a range of process optimization. Moreover, it enables businesses to target a larger customer base by designing new business models, products, and services leveraging digitization. Furthermore, it helps facilitate the transformation of business activities, traditional processes, and business models to benefit from upcoming changes and opportunities pertaining to futuristic technologies.

The rapid urbanization and digitization across the globe are enabling organizations to embrace digital transformation using technology-driven solutions. The growing usage of cloud technology by various Small & Medium Enterprises (SMEs) helps them adopt modern Digital Experience Platforms (DXP) at reasonable costs without constant upgradation or replacement of systems. This is estimated to drive the market during the forecast period. Moreover, benefits, such as improvements in operational flexibility and overall customer experience, are encouraging digital transformation initiatives across SMEs, driving the market.

Digital Transformation Market Segmentation

Grand View Research has segmented the global digital transformation market on the basis of type, deployment, enterprise size, end-use, and region:

Digital Transformation Type Outlook (Revenue, USD Billion, 2016 - 2028)

Digital Transformation Deployment Outlook (Revenue, USD Billion, 2016 - 2028)

Digital Transformation Enterprise Size Outlook (Revenue, USD Billion, 2016 - 2028)

Digital Transformation End-use Outlook (Revenue, USD Billion, 2016 - 2028)

Digital Transformation Regional Outlook (Revenue, USD Billion, 2016 - 2028)

List of Key Players of Digital Transformation Market

Check out more related studies published by Grand View Research:

Browse through Grand View Research's Next Generation Technologies Industry Research Reports.

About Grand View Research

Grand View Research, U.S.-based market research and consulting company, provides syndicated as well as customized research reports and consulting services. Registered in California and headquartered in San Francisco, the company comprises over 425 analysts and consultants, adding more than 1200 market research reports to its vast database each year. These reports offer in-depth analysis on 46 industries across 25 major countries worldwide. With the help of an interactive market intelligence platform, Grand View Research Helps Fortune 500 companies and renowned academic institutes understand the global and regional business environment and gauge the opportunities that lie ahead.

Contact:

Sherry JamesCorporate Sales Specialist, USAGrand View Research, Inc.Phone: 1-415-349-0058Toll Free: 1-888-202-9519Email: [emailprotected]Web: https://www.grandviewresearch.comGrand View Compass| Grand View PipelineFollow Us: LinkedIn | Twitter

SOURCE Grand View Research, Inc.

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Digital Transformation Market Size Worth $1,759.4 Billion By 2028: Grand View Research, Inc. - PRNewswire

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