Category Archives: Cloud Computing
Baidu to increase investment in AI and cloud, plans for 5 million servers – RCR Wireless News
On Friday, Chinese tech company Baidu laid out the details of its plan to increase its investment in artificial intelligence (AI), cloud computing, data centers and chips over the next decade. Specifically, Baidu intends to have more than 5 million intelligent cloud servers by 2030, which, according to the company, aligns with Chinas timeline to become a global leader in AI.
While a monetary value was not revealed, the companys statement went on to claim that by 2030, Baidu cloud servers computing capability should be seven times stronger than the combined computing power of the worlds top 500 supercomputers.
Additionally, in an effort to better prepare for the upcoming change in direction, the statement claims that Baidu has trained more than 1 million AI talents and cooperated with more than 200 universities.
Currently, Baidu has data centers covering more than 10 regions including Beijing, Baoding, Suzhou, Nanjing, Guangzhou, Yangquan, Xian, Wuhan and Hong Kong.
It is not the only Chinese company to reveal an increased interest in cloud and AI technologies. In response to the ongoing COVID-19 pandemic, which has heightened demand for cloud computing services and technology, Alibaba revealed in April that it will invest 200 billion yuan ($28.26 billion) in its cloud computing division over the next three years. Specifically, the company said that the funds will go towards infrastructure and technologies related to operating systems, servers, chips and networks.
Tencentalso unveiled plans to invest $70 billion in new infrastructure supporting AI and cloud computing in May.
The new infrastructure will become the new kinetic energy for Chinas economic development in the coming decades. Emerging technologies represented by artificial intelligence, cloud computing, 5G, Internet of Things and blockchain are its key technical support, Baidu CTO Wang Haifeng said in the companys statement.
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Baidu to increase investment in AI and cloud, plans for 5 million servers - RCR Wireless News
Why AIOps Tools Could (Finally) Breathe New Life into Cloud Computing – ITPro Today
At this point, cloud computing is a well-established--some might even say boring--realm within the IT industry. Innovation within the cloud has slowed down, and it has become hard to imagine many revolutionary steps forward in the way we build or manage applications within the cloud. With that said, if I had to pick one concept that is poised to exert major change within the cloud in the near future, Id put my money on AIOps and AIOps tools.
Although the impact of AIOps is by no means limited solely to the cloud, AIOps is one of the few forces right now that is on track to disrupt the way we interact with cloud infrastructures. Heres what you need to know about AIOps and the role AIOps tools and platforms may play in your future.
AIOps is a term coined by Gartner in 2016 to refer to the application of Artificial Intelligence to IT operations work. Basic AIOps involves using AI to help interpret or analyze data within IT environments. More advanced AIOps use cases center on leveraging AI to automate IT management tasks (like restarting a failed server or updating firewall rules in response to a newly detected threat) that staff would traditionally have had to perform by hand.
The AIOps concept existed before the term was invented. In fact, if you used machine learning or data analytics tools to assist in application monitoring or security testing at any point in the past 20 years, you were using AIOps.
But AIOps and AIOps tools have exploded in popularity during the past several years. That trend reflects the growing sophistication of AI, as well as the ever-increasing scale and complexity of modern IT workloads (challenges that AIOps helps to address by using AI to automate and systematize IT workflows).
AIOps has promising applications across the IT industry. Yet, in many respects, cloud computing is one of the areas where AIOps is poised to offer the greatest benefits. Thats because AIOps can solve some of the most complex challenges in the cloud--challenges that other techniques or technologies have yet to address adequately. Following are four main examples:
Running workloads in the cloud is easy enough. Running them in a cost-optimized way is much harder. Cloud vendors dont exactly go out of their way to help their customers spend less on their platforms. And although various third-party tools are available to help predict and manage cloud costs, most require a fairly significant amount of manual effort on the part of IT teams to set up and use. You have to tag your cloud resources carefully and spend time manually interpreting the cost-savings recommendations that the tools give you. Many of these tools also make after-the-fact recommendations based on past usage, rather than suggesting cloud configuration changes that you can make in real time to save money immediately.
AIOps promises a new level of automation and real-time insight into cloud cost optimization. Not only can AIOps tools make recommendations about where companies are over-spending in the cloud, but they can take the additional step of automatically reconfiguring workloads to save money. An over-provisioned virtual machine instance could be automatically migrated to a lower-cost one by AIOps tools, for example, or data that is stored on a more expensive object-storage tier than it needs could be migrated to a more cost-effective tier instantly.
In some senses, cloud migration is harder than ever. Although the rise of multicloud, and the advent of platforms like Kubernetes and Anthos, has made it easier to integrate workloads running on one cloud with those hosted on another, public clouds have in other respects become more nativist. If you adopt a framework like Azure Stack or AWS Outposts to help build out your cloud workloads, you end up highly dependent on your cloud provider, without an easy way to move your applications, data and configurations to another public cloud without having to rebuild everything from scratch.
AIOps could emerge as a solution to this challenge. In cases where IT teams would otherwise need to rebuild from the ground up to migrate from one cloud to another, AIOps tools could automate the process by leveraging AI to rewrite configurations for the new platform. In other words, instead of having to manually recreate IAM policies, API configurations and so on for a different cloud, IT teams could let AIOps tools do the heavy lifting for them. The result would be a world where cloud migration is smoother, even as different cloud platforms become more complex and unique in their service offerings.
One key challenge that IT teams face when working with cloud environments is that there are so many cloud services to choose from--and so many different configuration options for each service--that identifying the best type of service for each workload is daunting, to say the least.
Will a given application perform the best (and in the most cost-efficient way) if you deploy it in a virtual machine, a container or using serverless functions? Which cloud region or regions will deliver the best results for a given workload? If you want to take advantage of edge computing, where exactly should workloads reside: on cloud gateways, on devices or on a combination of both?
These are the sorts of questions that IT architects grapple with constantly in modern cloud environments. Traditionally, the only way to know which arrangement worked best was to manually test different options and analyze the results.
With AIOps, it becomes easier to predict which architectural patterns and configurations are the best fit for a given cloud workload. Using data about workload requirements and the performance and cost of each potential architectural solution, AIOps tools can make recommendations that are more powerful and systematic than those that IT teams can devise manually.
Along similar lines, the fact that public clouds now offer a litany of different services means that some admins struggle to master them all. Thats understandable; its hard to expect a single engineer to command the expertise necessary to manage Windows VM instances, Kubernetes clusters, cloud-based NoSQL databases, SaaS analytics platforms and serverless functions (to name just some of the diverse types of workloads that organizations typically run today in the cloud) all at the same time.
Faced with this challenge, businesses have traditionally had to either hire top-notch IT talent to acquire the skills necessary to cover so many different types of cloud services at once or rely on large IT teams with personnel broad enough in their areas of expertise to manage diverse cloud services.
With AIOps, however, it becomes easier for engineers to manage multiple cloud services even if they dont have extensive expertise in each one. AIOps tools can analyze and help manage workloads hosted with virtually any type of cloud service, lowering the burden placed on human engineers.
To be sure, AIOps is not a panacea. It cant solve every challenge in the cloud, and, on its own, it will not usher in a totally new age of cloud computing. Still, more than many other modern technological trends, AIOps is on track to solve several key challenges in cloud computing. In that respects, its poised to breathe some new life into what has become a somewhat stale part of the IT ecosystem.
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Why AIOps Tools Could (Finally) Breathe New Life into Cloud Computing - ITPro Today
Cloud-native computing: The future of 5G and IoT – ETCIO.com
By Sandeep Bhambure and Rick Vanove
The advent of 5G will be important to realize Indias digital ambition. At the first glance, 5G promises to unleash new capabilities with billions of connected IoT devices that will lay foundation for smarter cities, industrial automation, and transform key services across sectors to shape quality of citizens life.
According to Deloitte, Indias digital economy has the potential to reach $1 trillion by the year 2025. This highlights that 5G can be the potential enabler for technologies like Internet of Things (IoT), Artificial Intelligence (AI), Augmented Reality (AR) etc. to fuel growth in key industries.
How 5G improves IoT projects
The main benefits of 5G will be enhanced bandwidth and reduced latency for devices defined from the 3rd Generation Partnership Project (3GPP). For IoT uses, this will introduce options for many critical applications.
One emerging area for IoT will be effectively gathering real-time information. 3GPP has two types of technologies that will help IoT scale: enhanced Machine-Type Communication (eMTC) and Narrowband IoT (NB-IoT). These both focus on reducing complexity, having better device density and establishing more power efficiency. eMTC is associated with real-time items, such as wearables and personal IoT use cases. While NB-IoT focuses on solutions where latency is more tolerable and a lower amount of data needs to be transferred. Additionally, some of these solutions can have more than 10 years of battery life. Couple the mobility with a battery like this and organizations can overcome some of the barriers to implementing an IoT solution.
To put some perspectives on a number of changes in place here, both eMTC and NB-IoT implementations will benefit. Qualcomm is very interested in the milestone that 5G brings, and has produced a visual roadmap of what 5G will enable with 3GPP capabilities. All the benefits like better positioning, enhanced battery life, real-time uses, and serious scale coupled with the improved performance will go beyond what IT pros expected just a few years ago.
IoT faces potential challenges with 5G
As mentioned above, there are some considerations to pay attention to. When businesses make these types of changes and introduce this type of scale, the backend solution should be ready to support it. The amount of data, data transfer and the number of devices connected will introduce some concerns that need to be taken into account.
The only practical way to build IoT solutions on serious scale based on 5G is through the hyperscale public clouds in many situations. Of course, a strong recommendation like that requires answering detailed questions around the specific use case. The reality is that thousands of IoT devices which provide real-time data or rich media could potentially saturate communication lines and storage resources of a traditional data center quite rapidly. The hyperscale public clouds will provide the scalability to match this significant change coming for IoT solutions.
5G is a big deal, and its more than just what people will keep in their pocket. Because of that, organization need to consider the business impact of a 5G solution. Will the IoT solution powered by 5G provide an overall benefit? Will the IoT solution powered by 5G uncover bottlenecks or introduce capacity constraints to existing services, platforms and resources?
The practical advice is to ensure that cloud is a part of the IoT solution organisations choose, and is powered by 5G from the start. This will help organizations avoid complicated problems later that can put the whole IoT solution value at risk.
There's no doubt that 5G will empower the next wave of industry growth in India. What organizations truly require is to prepare their IT infrastructure and data management strategy for addressing the massive amount of data generated from the IoT devices. The integrated power of IoT, cloud and 5G technology will spur innovation to positively impact human lives and economic growth.
The authors are Vice President and Managing Director, India & SAARC, Veeam Software and Senior Director Product Strategy, Veeam Software.
DISCLAIMER: The views expressed are solely of the author and ETCIO.com does not necessarily subscribe to it. ETCIO.com shall not be responsible for any damage caused to any person/organisation directly or indirectly.
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Cloud-native computing: The future of 5G and IoT - ETCIO.com
AMD EPYC Processor Adoption Expands with New Supercomputing and High-Performance Cloud Computing System Wins – HPCwire
SANTA CLARA, Calif., June 22, 2020 AMD announced multiple new high-performance computing wins for AMD EPYC processors, including that the seventh fastest supercomputer in the world and four of the 50 highest-performance systems on the bi-annual TOP500 list are now powered by AMD. Momentum for AMD EPYC processors in advanced science and health research continues to grow with new installations at Indiana University, Purdue University and CERN as well as high-performance computing (HPC) cloud instances from Amazon Web Services, Google, and Oracle Cloud.
The leading HPC institutions are increasingly leveraging the power of 2ndGen AMD EPYC processors to enable cutting-edge research that addresses the worlds greatest challenges, said Forrest Norrod, senior vice president and general manager, data center and embedded systems group, AMD. Our AMD EPYC CPUs, Radeon Instinct accelerators and open software programming environment are helping to advance the industry towards exascale-class computing, and we are proud to strengthen the global HPC ecosystem through our support of the top supercomputing clusters and cloud computing environments.
From powering the upcoming worlds fastest exascale supercomputers,FrontierandEl Capitan, to supporting workloads in the cloud, and driving new advancements in health research, the high core count and extensive memory bandwidth of AMD EPYC processors are helping meet the growing demand from HPC providers for improved performance, scalability, efficiency, and total cost of ownership.
AMD Continues Expanding Share of TOP500 Supercomputers
Four AMD EPYC powered supercomputers are now among the 50 highest-performance systems in the world and there are now ten AMD EPYC-powered supercomputers on theTOP500:
Atos is proud to provide to its customers with cutting edge technology, integrating 2nd Gen AMD EPYC processors as soon as released, and demonstrating increased performance on HPC applications in production environments, said Agns Boudot, group senior vice president, Head of HPC and Quantum at Atos.
AMD Powered Supercomputing Systems Drive Research of the Future
Two universities announced new research supercomputing systems powered by AMD EPYC processors in Dell EMC PowerEdge servers.
Indiana Universitywill deploy Jetstream 2, an eight-petaflop distributed cloud computing system powered by upcoming 3rdGen AMD EPYC processors. This system will be used by researchers in a variety of fields such as AI, social sciences, and COVID-19 research. AMD EPYC processors already powerBig Red 200at the Indiana University campus.
Jetstream 2 bundles computation, software and access to storage for individuals and teams of researchers across an array of areas of research, said David Hancock, Director in Research Technologies, affiliated with the Pervasive Technology Institute at Indiana University. With the next generation AMD EPYC processor, Jetstream 2 will provide 8 petaflops of cloud computing power, giving more access to high-end technologies to enable deep learning and artificial intelligence techniques.
Purdue Universitywill deploy Anvil, a supercomputer powered by next generation AMD EPYC processors, which will provide advanced computing capabilities to support a wide range of computational and data-intensive research. AMD EPYC will also power Purdues latest community cluster Bell, scheduled for deployment early this fall.
In addition, CERN, the largest particle physics laboratory in the world, recently selected 2ndGen AMD EPYC processors in Gigabyte servers to harness the massive amounts of data from their latest Large Hadron Collider (LHC) experiment to rapidly detect subatomic particles known as beauty quarks. A newcase study details how combining the increased bandwidth of PCIe 4.0, DDR4 memory speed, and the 64 core AMD EPYC 7742 processor allows researchers to collect the raw data streams generated by 40 terabytes of collision data occurring every second in the LHC.
High Performance Computing in the Cloud with AMD EPYC
As the HPC industry evolves to support new workload demands, cloud providers continue to adopt 2ndGen AMD EPYC processors to provide leadership performance and flexible solutions. With recent cloud wins among technology partners likeAmazon Web Services,Google CloudandOracle Cloud, AMD is helping industry leaders push the boundaries in the new era of HPC and cloud computing.
AMD and Microsoft Azure have continued to build upon their cloud partnership with the recentlyannouncedHBv2-Series VMs for high-performance computing workloads. The 2nd Gen AMD EPYC processors provide Microsoft Azure customers with impressive core scaling, access to massive memory bandwidth and are the first x86 server processors that support PCIe 4.0, enabling some of the best high-performance computing experiences in the industry. Together, AMD and Microsoft Azure will support real-world HPC workloads, such as CFD, explicit finite element analysis, seismic processing, reservoir modeling, rendering, and weather simulation.
AMD Updates ROCm For Heterogenous Software Support
Community support continues to grow for AMD Radeon Open eCosystem (ROCm), AMDs open source foundation for heterogenous compute. Major development milestones in the latest update include:
Join AMD CTO and executive vice president, Mark Papermaster, for a webinar on July 15thto discuss the full range of AMD solutions and upcoming innovations in HPC. Click the link for the time most convenient for you to register:9 AMEDT,12 PMEDT or9 PMEDT.
About AMD
For 50 years AMD has driven innovation in high-performance computing, graphics, and visualization technologies the building blocks for gaming, immersive platforms and the datacenter. Hundreds of millions of consumers, leading Fortune 500 businesses and cutting-edge scientific research facilities around the world rely on AMD technology daily to improve how they live, work and play. AMD employees around the world are focused on building great products that push the boundaries of what is possible. For more information about how AMD is enabling today and inspiring tomorrow, visit the AMD (NASDAQ: AMD)website,blog,FacebookandTwitterpages.
Source: AMD
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AMD EPYC Processor Adoption Expands with New Supercomputing and High-Performance Cloud Computing System Wins - HPCwire
Global Cloud Computing in Healthcare Market 2020 Future Growth, Services Solution, Innovative Technology, Advancements and Forecast to 2025 – Jewish…
Global Cloud Computing in Healthcare Market 2020 by Company, Type and Application, Forecast to 2025 added by Researchstore.biz encompasses all-in information of the market and a thorough study of essential market dynamics, including growth drivers, restraints, and opportunities. The report renders statistical analysis, and perspective of integral growth enablers, and offers a holistic global perspective. The report chiefly focuses on market competition, segmentation, geographical expansion, regional growth, market size. The report comprises a thorough explanation of the market accumulating the use of advancement, methodology, and conclusions of the world market players. The study also predicts the influence of different industry aspects on the global Cloud Computing in Healthcare market segments and regions.
The report focuses on product positioning, customers perception of market competition, customer segmentation, consumer buying behavior, customer needs, and target customers. The competitive landscape is showcased with the help of vital resources, such as charts, tables, and graphs. The research illuminates the global Cloud Computing in Healthcare industry environment based on provincial trade frameworks, market-entry barriers, as well as financial concerns that could potentially affect the market growth momentum in the upcoming years.
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NOTE: This report takes into account the current and future impacts of COVID-19 on this industry and offers you an in-dept analysis of Cloud Computing in Healthcare market.
Key Vendor/Manufacturers In The Market:
The report examines each market player according to its market share, production footprint, and growth rate from 2020 to 2025 time-frame. Leading players have been considered relying upon their organization profile, item portfolio, limit, item/benefit value, deals, and cost/benefit. The study then determines the recent launches, agreements, R&D projects, and business strategies of the global Cloud Computing in Healthcare market players. Other insights covered in the report include company basic information, manufacturing base, revenue, and market share.
Rivalry scenario for the global Cloud Computing in Healthcare market, including business data of leading companies: Microsoft, Athenahealth, ORACLE, International Business Machines (IBM), GE Healthcare, Dell, CareCloud, Merge Healthcare, Carestream Health, Agfa-Gevaert,
Segment by type, the market is segmented into: Hardware, Software, Services
Segment by application, the market is segmented into: Hospital, Clinics, Others
If opting for the global version of global Cloud Computing in Healthcare market analysis is provided for major regions as follows: North America (United States, Canada and Mexico), Europe (Germany, France, United Kingdom, Russia and Italy), Asia-Pacific (China, Japan, Korea, India, Southeast Asia and Australia), South America (Brazil, Argentina), Middle East & Africa (Saudi Arabia, UAE, Egypt and South Africa)
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Global Cloud Computing in Healthcare Market 2020 Future Growth, Services Solution, Innovative Technology, Advancements and Forecast to 2025 - Jewish...
Healthcare Cloud Computing Market 2020: COVID 19 Impact Global Industry Analysis, Size, Share, Growth, Trends and Forecast To 2026 – Cole of Duty
A newly released 2020 report on global Healthcare Cloud Computing market is a combination of incisive market research insights with greater emphasis on real-time market scenario and in-depth focus on future market projections. The insights are fact-based, thorough and unbiased to ensure their authenticity and reliability. Demand growth analysis of Healthcare Cloud Computing has been provided in detail, strongly backed by the assessment of all the associated factors direct and indirect.
Up-to-date information about the influential happenings in IT and IT services sectors has been discussed in report. Following it, the report offers a precise introduction of Healthcare Cloud Computing market to enable understanding of the background and significance of the currently relevant industry occurrences. Production, sales, supply chain, shipments/installed base, and innovations have been evaluated to reveal the short- and long-term market prospects of Healthcare Cloud Computing on a global level.
While a measurable number of organizations in IT industry are ready for a permanent radical shift in their conventional ways of operating, out reports act as a critically necessary helping hand that offers exhaustive analytical insights to facilitate the same. Global Healthcare Cloud Computing market report particularly sheds light on profitable growth opportunities in the landscape and the viability of preferred developmental strategies that could potentially help companies capture the opportunities.
Available Exclusive Sample Copy of this Report @ https://www.crediblemarkets.com/sample-request/healthcare-cloud-computing-market-697013
Global Healthcare Cloud Computing market study unfolds an extensive analysis of top trends that are influencing global market competition, R&D and innovation efforts of market leaders and emerging players, and their profit margins. This section intends to help organizations accurately identify their long-term goals and thereby improve business outcome.
To survive one of the most competitive industry verticals such as information technology demands on-point research of the respective market domains. IT industry reports offered by Credible Markets assure that the readers get well versed with the number of disruptive trends that dictate the performance of IT sectors in form of technological advances.
Healthcare Cloud Computing market report offers a panoramic view of the market, covering a broad range of facets, including key market dynamics, top trends and opportunities, strategic moves of industry leaders, and prime factors dictating the performance of each market segment. Regional market performance is also examined in detail to uncover individual market shares and respective high impact factors.
Scope and Segmentation of the Market
Based on Type
By Pricing Models
Spot pricing or subscription model
Pay-as-you-gmodel
Based on Application
Application 1
Application 2
Regional Analysis
Key players profiled in this report include (Sales Revenue, Price, Gross Margin, Main Products, etc.):
CareCloud
ClearDATA Networks
Oracle Corporation
Microsoft
Agfa Healthcare
IBM Corporation
Cisco Systems Inc.
Intel
Carestream Health Inc.
Merge Healthcare
Chapters covered under this report include:
Chapter 1, describe the Healthcare Cloud Computing market reports executive summary, market definition, and market scope. Moreover, the report helps in picking up the crucial information about the said market.
Chapter 2, defines the Research Methodology including primary research, assumptions & exclusions, and secondary data sources. The report follows the simultaneous top-down and bottom approach to provide you the accurate market sizing.
Chapter 3, explains the report segmentation & scope, key market trends (drivers, restraints, and opportunities), along with Porters five forces analysis and market share analysis
Chapter 4: It helps in understanding the key product segments and their future of the Healthcare Cloud Computing Market. It provides strategic recommendations in key business segments based on the market estimations.
Chapters 5, and 6 to segment the sales by type and application/end-user, with sales market share and growth rate by type, application/end-user, from 2018 to 2016. Our team of Analysts and experts dedicatedly put their effort to provide you the best possible and accurate segmentation data and analysis.
Chapter 7, describes the regional segmentation based on the country level for the forecast period 2018 2026. The research report not only provide the market data of the five geographies but also provide the qualitative as well we qualitative information on country level bifurcation.
Chapter 8, to profile the top manufacturers of Healthcare Cloud Computing, with price, sales, revenue and market share of Healthcare Cloud Computing in 2016, 2017, and 2018. Players are expected to sign acquisition and collaboration deals to expand their products and services portfolio. Such strategic agreements could help them to improve their client base in other countries and gain a competitive advantage
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Healthcare Cloud Computing Market 2020: COVID 19 Impact Global Industry Analysis, Size, Share, Growth, Trends and Forecast To 2026 - Cole of Duty
Studios make move to the cloud | Industry Trends | IBC – IBC365
In the past fewmonthsthe media and entertainment industry has not only decentralised its entire organisational model, but dramatically sped up its transition to cloud-based workflows, archives and computing resources.
This is not just happening piecemeal or short term coronavirus is finally putting the skates under Hollywood studios to speed the transition to wholly cloud-based production.
As Avid puts it, while the past few years have seen a handful of innovators migrating certain workflows to the cloud, it took a disaster on the scale of a global pandemic for the broader industry to seriously consider what cloud solutions could do for media production.
Even before Covid-19 struck, cloud hadrisen upthe agenda. In a 2018 poll when nearly 70% of media enterprises said they preferred an exclusively on-premises compute and storage model, asurvey conducted by IBM and Ovumpredicts this to drop by more than half in 2023. Meanwhile, there will be a surge in uptake of cloud offerings from 10% to 34% over the same period, resulting in an even split of deployment models across on premises, cloud, and hybrid.
Since that survey was conducted last year, investment priorities will have shifted furtheras a result ofthe external shock.
A recent IABM report underlines this by highlighting increased investment in virtualization and remote production. Most media buyers told the IABM that, post-pandemic, theycantimagine things going back to the way they were before. The imperative for business continuity alone will accelerate technology transitions that were already underway.
There will be positive consequences resulting from production lockdown, contends Chuck Parker, CEO atSohonet. Chief among these will be an enlightened attitude in Hollywood and beyond to the practicality and benefits of a distributed content-production workforce.
This is echoed atMovieLabs, a think tank set up by the major studios, including Disney, Warner Bros, Paramount, Sony and Universal, to define and enable the future of film and TV production.
Everything changed overnight, and that obviously created a new level of urgency and focus on the cloud just to continue some level of work, says CEO Rich Berger. It would be fair to say that the collective mindset has shifted from we will be migrating to the cloud to we have an imperative to move to the cloud to protect our long-term business.
Creative driving forceMovieLabsset out a blueprint last autumn for all studio content to be created and ingest straight into the cloud without needing to be moved and gave a ten-year timeframe for that to happen.
Not every principle we highlighted will be achieved at the same time and at scale, Berger says. That said, our focus since we published the 2030 Vision paper is to accelerate this timeframe.
The current working from home short term solutions are different from its longer-term cloud vision and involve complications like VPN access and duplication of files that are not core to its ultimate ambition but, Berger says, many parts are already happening and will be realised before 2030.
Working in the cloud is not necessarily about improving efficiencies for the studios so much as enabling creatives to explore more options before they run out of budget or time, stressesMovieLabsCTO Jim Helman. For example, it allows the creation of more iterations before principal photography begins.
Indeed, it is the creatives rather than the executives who may provide the driving force to maintain work from anywhere workflows after Covid-19 is contained.
Creatives have now had several months of working from home and can now see that cloud-based production workflows actually can work for them, Berger says. We have an opportunity as we move to the cloud to reinvent and optimise workflows. Youwouldnthave to send files all over the place, we can have them stay in one location and have the applications come to the medium. That in and of itself should create a lot of change and opportunity.
At its most basic level, the cloud provides a more cost-effective platform for fulfilling unpredictable spikes in demand. At a more strategic level, the cloud provides a platform for aligning the needs of both creative and business teams.
The costs associated with maintaining infrastructure on premises is higher in the long term, argues Bob De Haven, GM,communicationsand media at Microsoft. Its Azure cloud is the platform of choice for Avid and Technicolor. Go digital or go broke, thats really the point.
Changing the wheelCloudskepticsspotlight security,bandwidthand accessibility as critical concerns. MichaelCioni, Global SVP of Innovation at Frame.io welcomes the questioning but says the industry needs to make a behavioural change.
Weve gone through film to tape, tape to files, HD to 4K. Each required a decision to make the change, problems to be solved, inventions and a behavioural response to how facilities are run and how we expect the work toactually flow. Going to the cloud is really no different.
The motion picture industry has worked in fundamentally similar ways since its beginning. Cameras andDoPs, audio recorders and sound engineers, editors working with NLEs, compositing tools and VFX artists, colour correction tools and colouristsall form a production support structure. They make up the most important part of the workflowfoundation, andrequire the most significant investment from an equipment and labour perspective.
Few of these steps are directly connected to one another through a single platform.
The unfortunate truth about the shift to digital technology is that it didnt speed up the process as significantly as originally promised, suggestsCioni. Given the fair amount of manual processing it takes to move through the workflow, theres still room for errors and failureseven (and perhaps especially) at the highest levels of the industry, where creatives are constantly pushing technology to its limits.
Cioniis positioning Frame.io to be the media management glue that links production tools with artists in the cloud. A milestone in this regard was the proof of concept demonstrated at a meeting of the HollywoodProfessional Association (HPA) in February.
At the event, a 6-minute film was made largely in real time in the cloud with the participation of multiple vendors including Avid, Blackmagic, RED, ARRI,FilmLight, SGO and Sony as well as members of the influential American Society of Cinematographers (ASC).
Footage was sent directly from camera to the Amazon Web Services cloud over wireless 4G LTE then streamed in both HDR and SDR to iPads carried by the DP and director for instant review. When takes are automatically available almost as soon as they are taken it dramatically shrinks the time to make alterations on set from days (sometimes weeks) to seconds.
The workflow proved that it is possible to host the original camera files and power the offline edit from the cloud, and then relink back to them locally for the conform,Cionisays. The timecode and metadata captured in the live streaming assets on the set were sufficient to link back to the original camera files for the final digital intermediate.
Bottlenecks to overcomeThere are some constraints holding back the vision right now. One is around the streaming of the highest quality video,for example, high bit depth, full colour gamut streaming desktops for critical colour review.
MovieLabspoints to limitations in the collaborative nature of work when working remotely. Weve yet to find technologies that allow whole teams of creatives to work in a virtual suite as well as they can in a physical suite where every participant can see, comment upon and control the output of the work and the applications being used to create it, Berger says.
We have more work to do as an industry to enable these applications to talk to each other and hand off assets and metadata to other components in a chain, even if piecemeal cloud implementations can be more inefficient than our legacy approach.
Cloud interoperability is another issue. How can people working on the same show but in a different cloud access the same media? We need to have a way to join clouds together or a seamless way where the operator doesnt realise there are multiple clouds happening at the same time, says GregCiaccio, workflow chair of the technology council at the ASC.
Limitations purely related to bandwidth are restrictive largely at ingest for Original Camera Files (OCFs). We are able to ingest proxy files for many of our cloud-based workflows, but there are considerable delays to getting the matching OCFs ingested to the cloud because of the size of those files, Berger says.
That is largely an issue of upload bandwidth speed which could be solved by 5G connectivity.
Concerns about the cost of cloudhaventgone away either. Without a doubt, [moving to remote production] was the right thing to do and without a doubt this was also the most expensive thing to do, says Yves Bergquist, Director of the AI & Neuroscience Project at USCs Entertainment TechnologyCenter. Storage, compute and data egress costs are likely skyrocketing throughout the industry, so this wont be sustainable for long.
He argues that AI/ML could offer a smarter way of managing data. Like it or not, this hastily cobbled together Internet of Production is here to stay. Because of the costs associated with its operation, it very much needs artificial intelligence.
Concerns about security, which form a large part of theMovieLabsVision 2030 specifications, seem to be receding.MovieLabsbelieves that in many ways, cloud-based workflows can and will be more secure with the right security framework and policies.
It is currently working on a cloud readiness assessment across a set of workflow tasks to find a common way of evaluating just how possible various tasks are in the cloud today.
We have seen pieces of the workflowlike batch VFX rendering, dailies and review/approve cycles and certain editing use casesmove to the cloud already, Berger says. Were expecting more of these individual tasks to be next, for example, VFX workstations using shared global storage and also cloud-based archiving replacing LTO tapes.
Internet of productionCloud computing has dominated the IT conversation for many years, but the media and entertainment industry haslagged behind.Thatsparticularly acute in Hollywood in contrast to Netflix which has run all of its computing and storage needs, from customer information to recommendation algorithms in the cloud since 2016. It was a migration that took the company seven years to complete.
Netflix content production and postproduction remains a more hybrid operation, with one foot in the cloud to connect globally located creatives and another in physical spaces from New York and LA to Singapore and Brazil, where that creative work is done.
It would be great to have the ability to reinvent large parts of our industry to essentially create a cloud-based creative supply chain connected and integrated fully with the creative and physical places all over the globe where content is made, Leon Silverman, director, Post Operations and Creative Services,Netflix told IBC.
Not even Netflix can do it alone. This will take real work and a lot of dialogue to move our industry forward, Silverman says.
All the projections about cloud adoption are happening quicker because this technology is maturing faster than originally envisaged.
Cionipredicts: Some people assume cloud is a decade away but I would say with very high certainty that in 2025 entire facilities that today do not use cloud for editorial, colour correction or conform will be using active and archive workflows completely in the cloud.
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Studios make move to the cloud | Industry Trends | IBC - IBC365
Microsoft partners with CIS to increase election security in US – Livemint
San Francisco: Microsoft has partnered with non-profit Center for Internet Security (CIS) in a bid to help increase election security in the US while enabling election officials to take advantage of the advanced capabilities of Cloud computing.
For years, the US Department of Homeland Security's Cybersecurity and Infrastructure Security Agency and state and local governments throughout the US have worked with CIS to monitor the security of election-related data.
This is enabled by Albert Network Monitoring, which examines Internet traffic and connection attempts on networks owned and run by election officials -- including voter registration systems, voter information portals and back-office networks.
Albert provides network security alerts for both basic and advanced network threats, helping organisations identify malicious activity such as attempted intrusions by foreign adversaries or cybercriminals, Ethan Chumley, Senior Security Strategist, Defending Democracy Program at Microsoft said in a blog post on Monday.
Data from these sensors is sent in near-real-time to the CIS Security Operations Centr,e which is monitored around the clock by expert cybersecurity analysts.
To date, cloud computing providers, such as Microsoft Azure, have not been compatible with Albert sensors.
This presented election officials with the difficult choice of selecting powerful, secure and cost-effective cloud computing options, or hosting the data on local servers if they wanted to take advantage of the added security of Albert.
"Today, through a partnership with CIS, we're providing a new choice by making Microsoft Azure compatible with Albert for the first time," Chumley said.
"We're starting this journey through a pilot, which will begin this week, with 14 county Supervisors of Elections in Florida. Moving forward, Microsoft and CIS will look to open the capability to states and jurisdictions across the United States," Chumley added.
This story has been published from a wire agency feed without modifications to the text. Only the headline has been changed.
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Microsoft partners with CIS to increase election security in US - Livemint
Global IoT in Oil and Gas Market (2019 to 2024) – Focus on Solutions, Applications & Industry Stream – ResearchAndMarkets.com – Business Wire
DUBLIN--(BUSINESS WIRE)--The "Global IoT in Oil and Gas Market: Focus on Solutions (Sensing, Communication, Cloud Computing, Data Management), Applications (Fleet and Asset Management, Pipeline Monitoring, Preventive Maintenance), Industry Stream - Analysis and Forecast, 2019-2024" report has been added to ResearchAndMarkets.com's offering.
According to this report the global IoT in the oil and gas market is expected to reach $43.48 billion by 2024, rising at a CAGR of 21.86% from 2019 to 2024.
Internet of Things (IoT), as a system integrator, helps in accumulating the complete oil and gas value chain within a single operating platform, addressing specific client-centric challenges, along with an improvement in overall performance. The oil and gas value chain of IoT solutions comprises sensors, communication, cloud, and edge computing, and data management. The continuous monitoring and control of extraction, production, and transportation operations with accuracy is gradually raising the degree of acceptance for IoT solutions amongst the oil and gas companies. Access to real-time information across remote locations is a major demand from the oil and gas companies, which is now being achieved with the help of smart sensors, and therefore, brings extensive insight into process performance.
The rapid market penetration of the IoT technology has led to the enhancement of the operational productivity by minimizing manual labor and providing an efficient platform for proper data management of production inputs with a specific focus on oil and gas industry applications such as fleet and asset management, preventive maintenance, pipeline monitoring, and security management, among others. The widespread implementation of cloud-based analytics and software systems embedded with security management software has fueled market growth by reducing security risks. Moreover, these software systems assist in increasing the overall production capacities by the identification of underground oil and gas resources.
The IoT in the oil and gas market has witnessed a significant increase in market developments, technology advancements, and capital investments 2017 onwards, as compared to previous years. The growing awareness in the market regarding the opportunities in enhancing the exploration and production activities, asset management, and remote monitoring using IoT has stimulated large-scale investments in the sector. In 2019, the total investment and funding in IoT in oil and gas were $284.0 million with a strong focus on developing IoT analytics platforms and cloud services for the oil and gas applications across the supply chain. For instance, in September 2019, BDC Capital invested $100 million in McRock Capital for the development of IoT for oil and gas applications.
Market Dynamics
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Companies Mentioned
For more information about this report visit https://www.researchandmarkets.com/r/3mn46t
Interview: TTRO’s Dom Oettl and iOCO’s Richard Vester on the advantage of cloud – TechCentral
Richard Vester, left, and Dom Oettl
In this episode of the podcast, TechCentral speaks to Dom Oettl, MD of The Training Room Online (TTRO), on how the company has used cloud computing and specifically Amazon Web Services to underpin its business success.
TTRO designs and develops learning solutions using immersive technologies and learning methodologies. The company needed the enterprise benefits of scale without the complexity of traditional hosting, Oettl explains in the podcast. Specifically, it needed compute and storage on demand; redundancy and resilient architecture; intelligent load balancing; compliance and governance; and adherence to robust security standards.
Since the TTRO team didnt have the time or the expertise on AWS, it needed to lean on a local partner. It found that partner in iOCO, part of the EOH Holdings stable. iOCO group executive for cloud Richard Vester explains in the podcast how it assisted TTRO and the role of companies like iOCO in helping businesses prepare for and manage their cloud journeys.
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Interview: TTRO's Dom Oettl and iOCO's Richard Vester on the advantage of cloud - TechCentral