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How the Film Industry is Leveraging Cloud Computing? Lights, Camera, Action and Cloud

The film industry has undergone many technological changes such as 3D, 4D, and even 5D. But it is not the end. Cloud computing is now emerging in the field of film technology. But a question arises about how cloud computing is helping the film industry. Cloud computing and film are two different things, where one deals with saving and transferring data from one place to another, and the other deals with entertaining people. These two different aspects are closer than our imagination.

Cloud computing allows centralization of data, information, and processes and serves easy access and perfect outline for films. This results in better decision-making, improved movie experience, and integrated operations.

Real-Time Discussions

In todays world, a films production crew, director, participating service partners, and castes are global. Cooperating among these teams becomes difficult as the physical transfer of data and film reels is a time-consuming process. But having access to the files remotely makes the process easy and saves time. This is where cloud computing benefits the film industry. Cloud computing helps in making real-time discussions which saves time, effort as well as money.

Remote Computing Power

For accumulating all the individual elements of a film including audio combinations, visual effects, and video filters to create the finished product, heavy computing power is required. The memory and processing power needed for making the final frames is much higher than what is available on standard computers. Cloud computing can be used to complete projects much rapidly by using remote computing power for the furnishing processes.

Security

Pre-release privacy causes a 19% decrease in revenue than piracy that occurs post-release. Cloud computing technology offers refined solutions to such security issues to the film industry. By creating private clouds, the film industry doesnt have to worry anymore about other studios gaining access to their system.

Streamline Operations

Starting with film distribution from theatrical planning, booking, and settlements to building a smoother customer-centric approach, cloud computing enables assessment of similar films to an individual theatre performance, giving distributors insights to secure a successful release.

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How the Film Industry is Leveraging Cloud Computing? Lights, Camera, Action and Cloud - Analytics Insight

U.S. investors remain bullish, despite rumblings out of China and the spike in delta variant infections.

Cloud companies those at the forefront of the shift in computing power to distributed models over the internet are expected to grow at a rapid clip over the next several years, and four of the five largest exchange traded funds covering the space are close to hitting record highs.

Below is a screen of stocks held by those ETFs, showing which are expected to increase their sales the most through 2023. In an industry with many players at relatively early stages, increases in sales, rather than in earnings, might be the best driver of stock prices.

To begin the screen, we looked at the five largest cloud ETFs:

ETFs might be your best way to take a broad approach for a long-term play on the cloud revolution. If you are interested in any ETF, you should review the fund managers website.

Heres a comparison of total returns through Aug. 4, along with those for the SPDR S&P 500 ETF SPY and the Invesco QQQ Trust QQQ (which tracks the Nasdaq-100 Index NDX ) for comparison:

The ETFs approaches differ. For example, the ARK Next Generation Internet ETF ARKW is the only one that is actively managed. The others track an index. It is also the only one that holds shares of Tesla Inc. TSLA, which makes up 10.65% of the portfolio, according to information posted by ARK Invest on Aug. 5. Tesla is an electric-vehicle manufacturer, but it can also be considered a cloud company because it distributes software updates over the internet continually, and offers other cloud-based services.

Another holding unique to ARKW among the five cloud ETFs is Walt Disney Co. DIS, which is certainly an important cloud player through its Disney+ streaming service, even if the company doesnt say directly how much of its sales are derived from that rapidly growing segment.

As part of its description of ARKW, FactSet says the following:

Broadly speaking, the ARKWs managers appear focused on big buzzwords such as Internet of Things, cloud computing, digital currencies and wearable technology. While the funds focus may be appealing for investors with conviction in these new technologies, portfolio implementation is a more difficult task: Most of the companies developing these advancements are huge corporations for which nascent technologies are only a small fraction of total revenues. As such, its very difficult to get pure-play access to ARKWs targeted technologies so be sure to confirm that the funds holdings not just its thesis align with your view of the space.

Together, the five cloud ETFs listed above hold 147 stocks. To project sales growth through 2023, we used calendar 2020 sales estimates as a baseline and then looked at consensus estimates among analysts polled by FactSet for the subsequent three years, if available. (The 2020 numbers are estimates, because many companies fiscal years dont match the calendar.)

To make sure we had a solid set of estimates, we confined the group to the 126 companies covered by at least five analysts polled by FactSet, for which consensus sales estimates for calendar 2020 through calendar 2023 are available.

Here are the 20 companies projected to have the highest compound annual growth rates (CAGR) for sales through calendar 2023:

Click on the tickers for more about each company.

There are actually 21 stocks listed, including Zillow Group Inc.s Class A ZG and Class C Z shares.

It is interesting to see that the list is dominated by stocks held by ARKW. The fund has a broad definition of cloud companies and is focused also on sales growth.

Here are current forward price-to-sales ratios based on consensus estimates for the next 12 months, as well as ratios of current market cap to projected 2023 sales and summaries of analysts opinions about the stocks.

In comparison, the forward price-to-sales ratio for SPY is 2.8, with a price/2023 estimated sales ratio of 2.6. For QQQ, the current P/S is 4.7, declining to 4.3 for 2023.

Dont miss: Semiconductor stocks are rallying and they still look like bargains

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20 cloud stocks expected to increase sales the most over the next two years - MarketWatch

RESTON, Va., Aug. 10, 2021 /PRNewswire/ --ORock Technologies, Inc., ahigh-performance hybrid cloud service provider built on OpenStack and certified by FedRAMP and the Department of Defense, today announced it has entered into a partnership with Commvault (NASDAQ: CVLT), a recognized global leader in the management of data across cloud and on-premises environments, to expand data protection and offer a seamless migration to the cloud for mission-critical workloads. This cost-effective solution is ideally suited for any business operating in a highly regulated industry as well as any federal, state, local or education (SLED) government agency seeking comprehensive backup and recovery in a secure cloud environment.

Commvault offers an all-in-one solution combining Commvault Backup & Recovery with Commvault Disaster Recovery for enterprise-grade data protection software that is both powerful and easy to use. ORock offers a secure network architecture and open source, scalable cloud environment that enable organizations to capitalize on the flexibility and scalability of cloud computing, while protecting workloads from security attacks. As highly regulated businesses and federal and SLED agencies come under increasing cyber threats, the need for comprehensive backup and recovery and disaster recovery planning in a secure cloud infrastructure has never been more vital.

The ORock-Commvault partnership allows organizations to use ORock as a validated S3-compatible Object Storage target for their data protection. Service providers and customers utilizing Commvault's Intelligent Data Services, anchored by ORock's government-grade secure cloud, can seamlessly back up and recover data and applications, virtual machines and containers, along with verifiable recoverability of replicas, cost-optimized cloud data mobility, security and resilient ransomware protection, and more. With the combined solution, Commvault users can access, move or repatriate their terabyte stores of data as often as they like without any data egress charges.

"We are happy to announce a high-value, innovative cloud partnership with ORock that benefits our customers in a number of ways," said David Foth, Sales Director, North America Service Providers, Commvault. "Enterprises will only accelerate to the cloud if a robust security apparatus is there to protect all of their data and applications in backup. ORock, known for their rigorous security controls, high-touch customer support and no egress charges, is a leading choice for businesses seeking a trusted hybrid cloud innovator. Our joint solution gives our customers a secure, convenient and cost-effective solution to modernize their data management strategy and team with market leaders."

"We're living in a critical time when companies are planning a hyperconnected multi-cloud future and need the assurance that their cloud ecosystem prioritizes security, accelerates performance and lowers costs," said Gregory Hrncir, Co-Founder, CEO and President, ORock Technologies. "The ORock-Commvault partnership makes it incredibly easy to shift, manage and safeguard workloads in the cloud, shielding organizations from data corruption and ransomware while slashing TCO and storage costs. This is a powerful combination of technologies that will propel your enterprise forward and keep operations running efficiently."

Learn more about how you can leverage the ORock-Commvault solution by visiting ORock.

About ORock Technologies

ORock Technologies delivers hybrid cloud and IaaS solutions designed for secure, compliant data operations. ORock helps leading organizations protect their most sensitive data, control costs and minimize vendor lock-in while enabling a range of IT modernization, application hosting, migration and edge computing initiatives. ORock's private fiber optic backbone network and enterprise-grade open source cloud feature the latest HPE Gen10 secure hardware and a flat-rate OPEX billing model with no data egress fees. These solutions support hybrid, private and multi-cloud capabilities while providing superior security, performance, predictability and control. Learn more about ORock.

CONTACT:Claudia CahillORock Technologies571-386-0201[emailprotected]

SOURCE ORock Technologies, Inc.

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ORock Technologies Partners with Commvault to Set New Standards for Comprehensive Backup and Recovery in the Cloud - PRNewswire

Looking for an AI refresher to beat the Summer heat? In this Q&A, Hyperion Research Senior Adviser Steve Conway surveys the AI and analytics landscape in a time of intense activity and financial backing. Just last week, the National Science Foundation (NSF) announced it had expanded the National AI Research Institutes program to 40 states (and the District of Columbia) as part of a combined $220 million investment. What is all this attention and investment leading up to? What is significant right now? Whats the HPC connection? Keep reading for insights into the questions everyones asking.

HPCwire: How would you describe the status of AI today?

Conway: AI is at an early developmental stage and is already very useful. The mainstream AI market is heavily exploiting early AI for narrow tasks that mimic a single, isolated human ability, especially visual or auditory understanding, for everything from Siri and Alexa to reading MRIs with superhuman ability.

HPCwire: Whats the eventual goal for AI?

Conway: The goal over time is to advance toward artificial general intelligence (AGI), where AI machines are versatile experiential learners and can be trusted to make difficult decisions in real time, including life-and-death decisions in medicine and driving situations. Experts debate what it will take to get there and whether that will happen. Hyperion Research asked noted AI experts around the world about this in a recent study. The sizeable group who believe AGI will happen said, on average, it will take 87 years. There was an outlier at 150 years. But whether or not it happens, AGI is an important aspirational goal to work toward.

HPCwire: What role does HPC play in AI?

Conway: HPC is nearly indispensable at the forefront of AI research and development today, for newer, economically important use cases as well as established scientific and engineering applications. One reason why HPC is attracting more attention lately is that it is showing where the larger, mainstream AI market is likely headed in the future. The biggest gifts HPC is giving to that market are 40-plus years of experience with parallelism and the related abilities to process and move data quickly, on premises and in more highly distributed computing environments such as clouds and other hyperscale environments. The HPC community is also an important incubator for applying heterogeneous architectures to the growing number of heterogeneous workflows in the public and private sectors.

HPCwire: Reversing that question, what role does AI play in HPC?

Conway: A recent Hyperion Research study showed that nearly all HPC sites around the world are now exploiting AI to some extent. Mostly, theyre using AI to accelerate established simulation codes, for example by identifying areas of the problem space that can be safely ignored. In cases where the problem space is an extremely sparse matrix, this heuristic approach can be especially helpful. HPC-enabled AI is also used for pre- and post-processing of data.

HPCwire: Whats the relationship between analytics and simulation in HPC-enabled AI?

Conway: Some applications use analytics alone, but many HPC-enabled AI applications benefit from both data analytics and simulation methodologies. Simulation isnt becoming less important with the rise of AI. This frequent pairing of simulation and analytics says that HPC system designs need to be compute-friendly and data-friendly. Newer designs are starting to reverse the increasing compute-centrism of recent decades and establish a better balance.

HPCwire: You mentioned newer, economically important use cases for HPC-enabled AI. Can you say more about those?

Conway: A few years ago, anecdotal evidence led Hyperion Research to compile a list of repetitive AI use cases that vendors could begin to pursue as emerging HPC market segments: precision medicine, automated driving systems, fraud and anomaly detection, business intelligence, affinity marketing, and IoT/smart cities/edge computing. Hyperion Researchs recently completed multi-client study of the worldwide HPC market found that 80 percent of the surveyed HPC sites already use one or more of these applications. Some of this is to support established HPC applications in HPC datacenters, but a surprising portion is to support business operations in enterprise datacenters. This confirmed the growth of a trend weve been tracking for a decade, where enterprise data analytics requirements are pushing up into the HPC competency space.

HPCwire: How is AI related to HPDA?

Conway: Hyperion Research defines high performance data analysis, HPDA, as data-intensive computing that uses HPC resources, whether for simulation or analytics. AI is the HPDA subset that involves data analytics, whether learning models or other analytics methods.

HPCwire: What about AI and cloud computing? Edge computing?

Conway: Our studies show that 20 percent of all HPC workloads are being run in third-party clouds and this number is growing, mostly not at the expense of on-premises computing. AI methods supporting HPC workloads are about as common in cloud settings as on premises. HPC also has a crucial role to play in the important subset of edge computing applications that need wide-area analysis and control, as opposed to just local responsiveness at the edge. A large portion of the one-time Top500-leading Tianhe-1a supercomputer, for example, was dedicated to urban traffic management in Guangzhou. Some respected thinkers believe HPC will be the glue that unifies the emerging global IT infrastructure, from edge to exascale.

HPCwire: Whats needed to move things forward? Are people working on these things?

Conway: Things are definitely moving forward, thanks in no small part to researchers advancing AI practices in the worldwide HPC community, but there are important challenges that are being worked on. They include making the operations of multilayered neural networks explainable and trustworthy, ramping up the availability of realistic synthetic data to address the shortage of useful real-world data in some domains, and advancing multimodal AI that can concurrently mimic more than one human sense. A more profound challenge concerns AI methodologies and the decades-old, rising debate between experts who believe learning models will be adequate for achieving AGI and those who say learning models mimic only high-level, abstract functions of intelligence and need to be augmented with methods that mirror our brains by directly experiencing the natural world.

HPCwire: The NSF recently announced it is expanding the National AI Research Institutes program to 40 states (and the District of Columbia) as part of a $220 million investment. That is one of many state-sponsored AI projects being launched around the world. Where does public investment fit in your view of AI?

Conway: The U.S., China, Europe and Japan all have government-funded initiatives aimed at increasing their AI capabilities as a prerequisite for scientific-engineering progress and economic competitiveness. They have analogous initiatives in HPC, which has already proven its ability to accelerate scientific and industrial innovation. For AI, HPC and other technologies with strong transformational potential, government investment is crucial for laying out national-regional goals and motivating progress toward those goals, especially when the technology is in an early and uncertain stage, as is certainly true of AI.

HPCwire: Stephen Hawking famously said, AI is likely to be either the best or worst thing to happen to humanity. Care to comment?

Conway: Who am I to question Dr. Hawking? I think theres a danger that AIs now-unstoppable momentum could overwhelm crucial ethical considerations, but especially in the past two years or so, more attention is being paid to the ethical ramifications of AI progress. With AGI predicted to be a century or so in the future at best, humanity has some time to wrestle with this.

Bio: Steve Conway is Senior Adviser of HPC Market Dynamics at Hyperion Research. Conway directs research related to the worldwide market for high performance computing. He also leads Hyperion Researchs practice in high performance data analysis (big data needing HPC).

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Hyperion Research's Steve Conway on the State of AI and the HPC Connection - HPCwire