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Fine-Grained Visual Embedding by Amazon QuickSight Brings Visibility without Complexity – Database Trends and Applications

AWS, a leading cloud platform, is debuting its latest addition to Amazon QuickSight: Fine-Grained Visual Embedding. This feature provides users with individualized visualizations from Amazon QuickSight dashboards for embedding within high-traffic web pages and applications. Increased visibility is supplied to end-users through Fine-Grained Visual Embedding, without requiring server or software setup, or infrastructure management.

Amazon QuickSight is a cloud-based, embeddable, and ML-backed business intelligence (BI) platform that provides users with interactive data visualizations, analysis, and reporting to support data-driven decision-making, without the process of managing servers. Amazon QuickSight allows users to embed branded analytics, such as interactive dashboards, natural language querying (NLQ), or BI-authoring experience within internal portals or public sites.

With Fine-Grained Visual Embedding Powered by Amazon QuickSight, developers and ISVs now have the ability to embed any visuals from dashboards into their applications using APIs, said Donnie Prakoso, software engineer and senior developer advocate at AWS. As for enterprises, they can embed visuals into their internal sites using 1-click embedding. For end-users, Fine-Grained Visual Embedding provides a seamless and integrated experience to access a variety of key data visuals to get insights.

Benefits of Fine-Grained Visual Embedding include automatic updates of embedded visuals, as well as automatic scaling without requiring server management, and optimized for efficient performance on high-traffic sites. Amazon QuickSight will also support 1-click embedding for nontechnical users to deploy code embedding, via 1-click enterprise embedding or 1-click public embedding. Users can also employ visual embedding through the API, using AWS CLI or SDK, for increased flexibility to configure allowed domains at runtime.

To learn more about this latest feature, please visit https://aws.amazon.com/.

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Underwater datacenter will open for business this year – The Register

A company called Subsea Cloud is planning to have a commercially available undersea datacenter operating off the coast of the US before the end of 2022, with other deployments planned for the Gulf of Mexico and the North Sea.

Subsea, which says it has already deployed its technology with "a friendly government faction," plans to put its first commercial pod into the water before the end of this year near Port Angeles, Washington.

The company claims that placing its datacenter modules underwater can reduce power consumption and carbon dioxide emissions by 40 percent, as well as lowering latency by allowing the datacenter to be located closer to metropolitan areas, many of which are located near the coast.

However, according to Subsea founder Maxie Reynolds, it can also deploy 1MW of capacity for as much as 90 percent less cost than it takes to get 1MW up and running at a land-based facility.

An illustration showing one of its commercial pods. Pic provided by Subsea

"The savings are the result of a smaller bill of materials, and less complexities in terms of deployment and maintenance," Reynolds told us. "It's complex and costly to put in the infrastructure in metropolitan areas, and in rural areas too: there are land rights and permits to consider and labor is slower and can be more expensive."

The Port Angeles deployment, known as Jules Verne, will comprise one 20ft pod, which is similar in size and dimensions to a standard 20-foot shipping container (a TEU or Twenty-foot Equivalent Unit). Inside, there is space for about 16 datacenter racks accommodating about 800 servers, according to Subsea. Additional capacity, if and when required, is delivered by adding another pod. The pod-to-shore link in this deployment provides a 100Gbps connection.

As it is a commercial deployment, Jules Verne will be open for any prospective clients or partners to come and check it out, virtually or otherwise, according to Reynolds. It will be sited in shallow water, visible from the port, whereas the Njord01 pod in the Gulf of Mexico and the Manannan pod in the North Sea are expected to be deeper, at 700-900ft and 600-700ft respectively.

However, Jules Verne will not likely be used by many customers, as Subsea expects to use it mostly to demonstrate compliance to organizations and advocates that will be inspecting the pod and site, and this may disrupt client operations.

"We are in talks with two of the well-known hyperscalers, though, so it's still a little up in the air," Reynolds said.

The Subsea pods are kept cool by being immersed in water, which is one reason for the reduced power and CO2 emissions. Inside, the servers are also immersed in a dielectric coolant, which conducts heat but not electricity. However, the Subsea pods are designed to passively disperse the heat, rather than using pumps as is typical in submersion cooling in land-based datacenters.

But what happens if something goes wrong, or a customer wants to replace their servers? According to Subsea, customers can schedule periodic maintenance, including server replacement, and the company says that would take 4-16 hours for a team to get to the site, bring up the required pod(s), and replace any equipment.

The viability of underwater datacenters has already been demonstrated by Microsoft, which has deployed several over the past decade as part of its Project Natick experiment. The most recent was recovered from the seabed off the Scottish Orkney islands in 2020, and contained 12 racks with 864 servers. Unlike the Subsea pods, the Project Natick enclosure was filled with nitrogen.

Microsoft reported that only a "handful" of servers failed during the course of its experiment, and Subsea expects its datacenters to require less maintenance due to the reduced risk of environmental contamination like dust and debris and reduced thermal shock.

Subsea said it plans to colocate datacenters at sites offering various types of renewable energy infrastructure, and that it aims for its datacenters to consuming renewable power only by 2026.

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Cloud Computing to Aid Governance in India – OpenGov Asia

Nanyang Technological University, Singapore (NTU Singapore) and the Agency for Science, Technology, and Research (A*STAR) are working together on cooperative research initiatives in education that aim to transform research into future classroom teaching design and intelligent technologies. The National Institute of Education (NIE) and the School of Computer Science and Engineering (SCSE) are leading NTUs efforts in this collaboration.

The collaboration between A*STAR and NTU, spearheaded by the universitys NIE and SCSE, will further strengthen and facilitate the interdisciplinary research collaboration among the partners, and bring talented people from different disciplines and organisations together to solve impactful and authentic problems of practice in education, says Professor Louis Phee, NTU Vice President (Innovation & Entrepreneurship) and Dean, College of Engineering.

A Memorandum of Understanding (MoU) was signed with the aim of improving student learning and teacher effectiveness. The cooperation also brings together the academics and researchers from NTU and A*STAR to cooperate on education research projects focusing on the science of learning in education, AI, machine learning, and human-artificial cognition.

To better engage students, researchers, for instance, will reimagine a classroom where human teachers and AI interact. They will also investigate how information and skills may be taught to students more successfully using technology.

The cooperation intends to develop educational techniques and ideas for tomorrows classrooms that can contribute to teaching and learning across a persons entire lifetime. It builds on NIE NTUs mission to construct and grow hubs of excellence in early childhood, pedagogy, and practice.

With its multidisciplinary research prowess in education technology and AI, which encompasses fields like teacher-machine augmented intelligence and interactive and personalised learning systems, NTUs SCSE will help the initiative.

Additionally, the collaboration will facilitate the streamlined submission of joint research grant applications and promote stronger inter-institutional relationships.

Building on NIEs mission of Leading the Future of Education, the cooperation will advance research in learning science and the application of technologies such as AI in education, helping to imagine the classroom of the future.

The collaboration will use A*STARs research skills in AI, data analytics, and the integration of social and behavioural science with technology to solve practical problems for the future of education.

According to A*STAR, they are looking more closely at creative ways to assist students to learn and educators to educate. By combining AI technologies with social and behavioural sciences, they can collaboratively address issues in present teaching and learning systems.

The agency is looking forward to a stronger collaboration with NIE and NTU, where they will be able to harness one anothers diverse strengths to develop real-world solutions that will result in better educational outcomes for students at all levels.

NTU and A*STAR will share data and laboratory resources, as well as provide opportunities for researchers and graduate students to exchange expertise through short-term attachments in research labs and schools. Examples of ongoing collaborations are:

AI-based performance and behavioural assessments for teaching and classroom management. The projects goal is to create a proof-of-concept training tool for teacher development, as well as to investigate the use of audio-visual sensors combined with AI inference to discover and comprehend important classroom behaviours.

Improving student participation in virtual learning environments is another example. With the rise of virtual classroom teaching, the research intends to investigate the efficacy of deploying engagement detection techniques to assist teachers in predicting student involvement levels in virtual classrooms.

EVA (Education via AI) is an adaptive learning companion. This project aims to create a conversational AI engine powered by neural language production, representation learning, and dialogue modelling algorithms. This will be a virtual tutoring system that will assist students in learning and practising reading aloud abilities in English.

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This Lesser-Known Cloud Computing Company Is Primed for a Turnaround. Is It Time To Buy? – The Motley Fool

Nutanix(NTNX 1.70%) dazzled investors in its latest earnings report.The cloud stock jumped 29% on Thursday as the company beat estimates on the top and bottom lines in its fiscal fourth quarter.

Though annual contract value (ACV) billings increased 10% to $193.2 million, revenue actually fell 1% to $385.5 million due to the timing of contracts and supply chain delays with its server partners. That top-line number was still much better than estimates at $354.9 million as contract renewals in the quarter were strong, and it actually faced fewer supply chain issues than expected.

On the bottom line, its loss per share narrowed from $0.26 to $0.17, compared to estimates for a per-share loss of $0.38. And Nutanix posted positive free cash flow (FCF) of $23.2 million, compared to a loss of $42.2 million in the quarter a year ago. The company finished the year with an FCF profit of $18.5 million -- its first year with positive free cash flow since 2018.

Though the recent results were promising, Nutanix has mostly disappointed investors over its history. Shares of the company, which makes hybrid cloud infrastructure software that makes it easier for businesses to move applications between public and private clouds, are actually down from where they closed on their initial public offering (IPO) day in 2016.

Over its time as a publicly traded company, Nutanix has transitioned from a hardware company that initially sold a box to run its software into a software company and then a subscription software company. Later, the company shifted its sales focus from total contract value to annual contract value, further clouding the financial picture for investors. Though, that transition is now complete.

Nutanix appears to be moving past much of the earlier noise and false starts that plagued the stock. As its average contract term has fallen, revenue growth is lagging behind other top-line metrics, like ACV billings and annual recurring revenue. However, management expects that gap to narrow as its average contract length stabilizes at around three years. Meanwhile, a greater percentage of its growth comes from renewals, which will improve profitability and smooth its revenue growth.

The company has long earned high customer satisfaction marks. Its net promoter score is 90, meaning nearly all its customers would recommend the product to a peer. Further, its gross renewal rate is also above 90%, showing that the vast majority of its customers stick with the product.

Nutanix has also renewed its commitment to profitability, aiming for a 10%-15% free cash flow margin by fiscal 2025. That would give it at least $300 million in free cash flow. It's laying off 4% of its workforce to help get there, saying it would reduce annual expenses by $55 million-$60 million.

Despite macro headwinds weighing on other cloud stocks, Nutanix expressed confidence about the upcoming fiscal year, even mentioning on the earnings call that the company can benefit from a sluggish economy because its product helps customers save money. Management also said it expected to benefit from Broadcom's acquisition of chief rival VMWare as any changes or disruptions there could drive more customers to Nutanix.

Finally, its guidance calls for fiscal 2023 revenue of $1.77 billion-$1.78 billion, or 12.3% growth at the midpoint, and an adjusted operating margin of 2%, showing it should be profitable (at least on an adjusted basis). It called for ACV billings of $895 million-$900 million, up 18.7% from 2022.

The buy case for the stock looks a lot stronger after the latest quarter as the company's financial performance is clearly improving, moving quickly toward profitability. However, given its erratic history, it may be best for investors to take a wait-and-see approach here. Compared to other cloud stocks, Nutanix is less expensive according to most metrics, but that's because its growth rate is also slower and it's been unprofitable throughout its history.

Nutanix's quarter of outperformance is promising, but investors are better off waiting another quarter or two to see whether the momentum continues into fiscal 2023. Given its 2025 free cash flow target, there should still be plenty of upsides to capture if the turnaround really does play out.

Jeremy Bowman has no position in any of the stocks mentioned. The Motley Fool recommends Broadcom Ltd, Nutanix, and VMware. The Motley Fool has a disclosure policy.

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Global Cloud Computing Market to Reach $1.55 Trillion by 2030 – Benzinga

DUBLIN, Sept. 5, 2022 /PRNewswire/ --The 'Cloud Computing Market Size, Share & Trends Analysis Report by Service (IaaS, PaaS, SaaS), by Deployment (Public, Private, Hybrid), by Enterprise Size, by End Use (BFSI, IT & Telecom, Retail & Consumer Goods), by Region, and Segment Forecasts, 2022-2030'report has been added to ResearchAndMarkets.com's offering.

The global cloud computing market is expected to reach USD 1,554.94 billion by 2030, registering a CAGR of 15.7%. Cloud systems thrive at streamlining inter-organizational communication and providing a simplified alternative for managing corporate processes.

Due to cost savings, flexibility and scalability, data security, data storage, and team collaboration, about 70% of firms have already shifted to cloud-based computing for part of their services. For instance, in October 2020, Microsoft Corporation joined with ZEISS Group to improve health care and manufacturing quality through data solutions. Together with the simplicity of deployment and lower total cost of ownership, these advantages are likely to raise cloud computing demand throughout the forecast period, driving the market growth.

Cloud computing solutions will support teams in learning to collaborate, and businesses can realize they can function effectively without having people in the office. This scenario is expected to propel market growth. To maintain employee well-being and operational efficiency, a growing number of businesses across multiple verticals have adopted the work-from-home model, driving up demand for Software-as-a-Service (SaaS)-based solutions.

Organizations are adopting cloud computing services as they provide insights into partnering tactics, go-to-market approaches, investments, alliance and acquisition strategies, and best operational practices. Moreover, cloud computing services help measure, correlate, and analyze business activities and ensure that company operations are in line with the customer demands. To get significant business insights for decision-making, many firms are investing in big data, IoT, artificial intelligence, and 5G technologies.

Big data technologies are becoming more popular because of the numerous advantages they provide, such as data integration, data segmentation, and business intelligence, to name a few. The growing need for analytics and big data technologies in cloud computing services is opening up plenty of new chances for the market to expand.

Cloud Computing Market Report Highlights

Market Dynamics

Market Drivers

Market Challenges

Key Topics Covered:

Chapter 1 Methodology and Scope

Chapter 2 Executive Summary

Chapter 3 Cloud Computing Market: Industry Outlook

Chapter 4 Cloud Computing Market: Service Segment Analysis

Chapter 5 Cloud Computing Market: Deployment Segment Analysis

Chapter 6 Cloud Computing Market: Enterprise Size Segment Analysis

Chapter 7 Cloud Computing Market: End Use Segment Analysis

Chapter 8 Cloud Computing Market: Region Segment Analysis

Chapter 9 Competitive Analysis

Chapter 10 Competitive Landscape

Companies Mentioned

For more information about this report visit https://www.researchandmarkets.com/r/p845nf

Media Contact:

Research and MarketsLaura Wood, Senior Managerpress@researchandmarkets.com

For E.S.T Office Hours Call +1-917-300-0470For U.S./CAN Toll Free Call +1-800-526-8630For GMT Office Hours Call +353-1-416-8900

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Logo: https://mma.prnewswire.com/media/539438/Research_and_Markets_Logo.jpg

SOURCE Research and Markets

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Free course in cloud computing for the less privileged – The Hindu

GMR Varalakshmi Foundation (GMRVF), the corporate social responsibility arm of the GMR Group, will be offering a free course for the underprivileged in cloud computing, in collaboration with Tech Mahindra Foundation. Students who graduated with B.Tech. (CSC, IT, ECE), B.Sc. (computer science) and BCA degrees between 2019 and 2022 and are residents of Rangareddy district can apply for the three-month course.

The training will be conducted four days a week at the GMR Varalakshmi Centre for Empowerment and Livelihoods, Airport campus, Shamshabad, and for two days at the Tech Mahindra Academy, said CEO of GMRVF Ashwani Lohani.

Trainees enrolled for this course can pursue the AWS (Amazon Web Service)-certified Cloud Practitioner course. GMRVF and Tech Mahindra Foundation will facilitate the selected candidates to take this exam. Placement support will also be provided for all the successful candidates, said a press release on Monday.

This course is open to both male and female candidates. GMRVF will provide free boarding and lodging to all selected male candidates during the training period. There will be 20 trainees in each batch, with the first one starting from September 8.

Interested candidates may contact the GMR Varalakshmi Centre for Empowerment and Livelihoods, Shamshabad, or call 89198-90976/ 99855-74742.

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Enclosing the internetBig Tech’s cloud cover – Social Europe

Like physical clouds, the services provided by the technology majors are utterly opaque to the outside world.

Towards the end of July, Microsoft and Googles parent company, Alphabet, presented their latest, relatively-disappointing economic results, blaming the ambient macroeconomic distress. Yet both companies referred to the momentum of their cloud service, a critical engine for future growth. The cloud was also responsible for Amazons better-than-expected quarterly data.

The cloud comprises computing services, including software, hardware and platforms, offered via the internet instead of running locally on individual computers. By 2025, 45 per cent of the worlds data storage will be on the cloud. While these services are used by all sorts of companies and public-sector organisations, cloud ownership is overwhelmingly dominated by Amazon, Microsoft and Google. Together, they concentrate around 65 per cent of cloud-infrastructure services.

Even such a titan as Netflix recently said it relied on Amazon Web Services (AWS) and could not easily switch to another cloud provider. Uber, which can only operate via Google Maps, and Booking have similarly recognised their dependence on Big Tech. Leading European corporations did likewise in a 2021 report to the European Commission.

Since the same lines of code can be simultaneously used by many, the reproduction costs of selling artificial-intelligence (AI) algorithms as cloud services tend to zero. Hence, as Amazon, Microsoft and Google expand their client base, profits increase exponentially: AWS is Amazons most profitable business. Furthermore, since the AI code rented as a service includes deep-learning algorithms, which learn as they process data, the more these algorithms are lent, the more they will learn and self-improve, thus reinforcing the three giants digital leadership.

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The tendency towards market dominance premised on privileged access to data is exacerbated by the code underpinning cloud services not being accessible to customers, who become locked in. Customers know what certain services can be used for, but they cannot learn from the rented code since they cannot gain access to the algorithms making those things happeneven if those algorithms were in part developed by universities and other public research organisations.

This is true even when those customers are other major corporations. Siemens, for example, is the European leader when it comes to the number of AI patents it has been granted. But Siemens is also dependent on the Big Tech cloud, including for the most advanced, generic AI required to operate the more specific applications Siemens integrates into its medical-imaging, energy and transport products.

Only a year after the company launched Siemens MindSphere, a cloud platform for storing and analysing data retrieved with the internet of things (IoT) from its sold equipment, AWS took over part of this platforms development. It provides computing services that Siemens cannot develop in-house but which it needs in order to offer AI-specific solutions to its clients.

Such technological dependence is risky for at least two reasons. First, Google, Amazon and Microsoft have already entered Siemens medical business, with the potential of becoming serious rivals.

Secondly, unlike the first wave of information and communications technology, where adopters could learn by using and adapting technologies, leading to complementary innovations, cloud computing offers technology as a black box. It limits users learning and generates long-term technological dependence, with no visible way out.

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All this while the technology giants algorithms self-improve by processing the data harvested by companies such as Siemens, which further widens the technological gap between cloud providers and other firms. As this dependence grows, Siemens may keep reducing its own development of MindSphere, relying instead on services from the Big Tech clouds.

Siemens is one of thousands of companies basing their digital transition on the analytics, databases and IoT provided as cloud services by the technology behemoths. As the use of these platforms as a service accelerates away from recourse to others, the leviathans will further enclose the internet commons.

Such economic power eludes regulatory frameworks. Even the Digital Markets Act, probably the most advanced digital policy globally, remains focused on markets: concern only attaches to the technology giants as potential market gatekeepers.

The term cloud appears just 14 times in the 193-page provisional public version of this legislation. Not a word is said about how Amazon, Microsoft and Google operate this aspect of their business, expanding their knowledge appropriation while subordinating other organisations: they are not only market but also knowledge and information gatekeepers. If the European Union and other global regions seriously want to introduce legislation that can counterbalance their power, this wider gatekeeping must be prevented.

The European Commission should pursue two fronts. Algorithms trained with data harvested in Europe, and based on collaborations with European universities and other research organisations, should be made publicly available. At the same time, the EU should dedicate funding and research to building a truly public cloud.

To be at the knowledge frontier as a cloud provider will certainly be a major challenge and the chances are that Europe will never catch up. Yet if there is a lagging region in the digital economy which has the scientific and technological foundation to make the attempt, Europe is it.

Does the EU have the political guts to do so? Thats a different discussion.

Cecilia Rikap is a lecturer in international political economy (IPE) at the City University of London, a researcher at CONICET, Argentinas research council, and associate researcher at COSTECH lab, Universit de Technologie de Compigne. She is author of Capitalism, Power and Innovation: Intellectual Monopoly Capitalism Uncovered (Routledge) and co-author of The Digital Innovation Race: Conceptualizing the Emerging New World Order (Palgrave).

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DevOps Automation Platform Zeet Raises $4.3M Seed Funding Led by Sequoia Capital with Participation from Race Capital – GlobeNewswire

SAN FRANCISCO, Sept. 06, 2022 (GLOBE NEWSWIRE) -- Zeet, the integrated DevOps and deployment platform for software developers, today announced it has closed on a $4.3 million seed funding round led by Sequoia Capital, with participation from existing investor Race Capital as well as engineering leaders from AWS, Google, Twitch, Repl.it, Yelp, Sentry and more. Zeet intends to use the proceeds to accelerate its hiring process as the company continues to attract more customers and developers to its cloud-native DevOps platform.

In the increasingly complicated world of cloud computing, Zeet provides a simple interface for developers to make the most of their cloud. Instead of re-inventing the wheel, Zeet operates existing enterprise tooling and cloud services like AWS Lambda, AWS RDS, Kubernetes, Prometheus, KNative, and Keda across AWS and the Google Cloud Platform, so developers can focus on building products with confidence without worrying about how their applications are running. Additionally, since Zeet runs in the customers cloud accounts, DevOps engineers are able to bring the tools theyre already familiar with to manage their infrastructure. Zeets Heroku-like interface allows any application engineer to easily create infrastructure, generate CI/CD pipelines, provision SSL certificates, and scale their services.

With support for multiple clouds, including Amazon Web Services, Google Cloud Services, DigitalOcean, Coreweave, and more, Zeet allows developers to move applications between clouds, reduce latency, and utilize specialized services from each cloud.

Zeet was founded to level the playing field for engineering teams and companies," said Johnny Dallas, founder and CEO of Zeet. Our platform allows any developer to get FAANG-quality infrastructure at the push of a button, and is already trusted by more than 18,000 developers. With this funding, we will continue to scale out our own engineering team and achieve our ambitious product roadmap. We plan to add compatibility for many more types of infrastructure resources, starting with Terraform and Helm chart deployments, as well as make more complex full-stack integrations like canary deployments and end-to-end tracing a breeze for any team.

Zeets two founders, Johnny Dallas, 20, and Zihao Zhang, 25, met in 2018 at Bebo, which was later acquired by Amazons Twitch. Dallas remains the youngest-ever AWS re:Invent speaker, after his 2018 talk describing the internal developer platform built by the pair which helped Bebo scale to every available AWS region, and manage thousands of concurrent machines without any full-time SRE team. After being escorted in to the casino venue by Amazon security due to his age, Dallas later became the youngest engineer to have worked at Amazon.

As cloud infrastructure has grown and matured over the past decade, it has become a bewildering array of services, each one with its own menu of configuration options. The whole point of cloud was not to think about infrastructure, yet developers have to spend non-trivial time learning and configuring cloud infrastructure," said Bogomil Balkansky, partner at Sequoia. "Zeet is a great way to get back to the original promise of cloud: a simple and elegant experience abstracting a rich set of services. We are thrilled to support the Zeet founders in their journey."

Democratizing server application deployment is key to the continued proliferation of web computing. Without any doubt, Johnny and Zeet are the answer to cost, risks, security, deployment optimization and scaling, said Alfred Chuang, partner at Race Capital. Any company looking to scale on the cloud will need Zeet, which is one of the many reasons we found this to be a critical investment. I am excited to partner with Johnny and the team.

Zeet has made it so every engineer can focus on writing applications, without thinking about infrastructure. Instead of all the pressure of deployment falling onto one team, everyone is able to use Zeet on their own without any supervision needed, says Jake Loo, CTO of Thirdweb. It serves everyone, no matter their skill level - our entry-level engineers don't have to be experts, and our cloud experts can build on top of Zeet to make their job easier. I dont think we could go back to the old way.

About Zeet

Zeet is an all-in-one automated DevOps platform across the major public cloud vendors. Zeet empowers developers to ship in minutes, scale to millions of users, and deploy across multiple cloud vendors. For more information or a demo, please visit: https://zeet.co/ and follow Zeet on Twitter.

About Race Capital

Race Capital is an early-stage venture fund focused on investing in exceptional founders who are building market-transforming companies in the data, enterprise, infrastructure, and fintech sectors. Our team are seed investors in Databricks, Solana, FTX, Agora.io, Zeet, and many other great companies. For more information, visit https://race.capital/.

Press Contact

Media Contact For Race CapitalDukas Linden Public RelationsEmily Burnham / Zach KouweRace@dlpr.com

Media Contact For Sequoia CapitalASM CommunicationsAbby McAdamsAbby@asmcomms.com

How Zeet Works

To use Zeet, you simply authorize your cloud account and select a Github repository. Zeet automatically provisions resources within your account, configures a CI/CD pipeline, and provides a production-ready endpoint to your project in minutes. Zeets Web UI makes it simple for any application developer to quickly assess the status of an environment - no DevOps knowledge needed.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/62a56e8e-d342-4341-a0e9-5c2ebaa47cc3

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DevOps Automation Platform Zeet Raises $4.3M Seed Funding Led by Sequoia Capital with Participation from Race Capital - GlobeNewswire

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Reimagining business with digital transformation – KMWorld Magazine

Digital transformation has become one of themost time-honored motifs in business circles today. The mere mention of the term almost immediately conjures up images of cloud computing, artificial intelligence, and digital agents predicated on the digitization of information.

Although far from a misnomer, digital transformations perception according to the above constructs puts, perhaps, an undue focus on the digital aspect of this tenet. The true worth of digital transformation, however, involves less emphasis on digitization and more on reshaping while drastically improvingthe very means by which business is conducted.

If you want to begin to transform, youve got to begin touching on process, said iManage CPO Dan Carmel. This iswhere digital transformation differs from just digitization. Now, what youre really saying is, Im going to look at a process of how I get something done, and Im going to be reimagining it, based on digital technology.

That differentiation, of course, includes the use of the cloud, statistical and non-statistical AI, and digital agents to perfect business processes via automation, remote collaborations, fine-grained search, content enrichment, silo-elimination, and more.

Each of these outputs produces a pronounced impact on the discipline of knowledge managementas well as on how business is practiced by organizations. The outcome is the use of data to enrich content that becomes practicable knowledge. According toCarmel, When we talk about knowledge, often you end up drifting to content, which is often augmented by data, to make it smarter, or to allow us to do more with it.

Becoming digital

The first step toward digital transformation is digitization itself, which can be effected in numerous ways. Traditional approaches simply involve scanning documents. More savvy ones entail optical character recognition (OCR) or intelligent character recognition (ICR), which functions similar to OCR, but is applicable to handwriting. These technologies manipulate non-digital content and turn it into searchable content, Carmel said. There are also numerous applications in the cloud that instantlydigitize content. These applications can be anything as simple as emails, instant messaging, workplace tools like Office 365, and systems of engagement like Microsoft Teams.

Additionally, the cloud is useful for uploading unstructured content like images and videos. After uploading this content into what Cloudian CMO Jon Toor termed cloud-native storage, it becomes searchable by default due to the metadata capabilities of modern storage protocols like S3. With object storage, which is the type of storage used in cloud-native environments, you really have an unlimited amount of metadata that you can store, Toor said.

Asset enrichment

If the most forthwith boon of digital transformation is the capacity to search for content, thereby making it accessible to a broader and more diverse range of users, such search is only as good as its enrichment process. There are many methods of enriching specific pieces of content (documents, images, videos, etc.), including these:

Manual approaches: Manual enrichment methods have not been outmoded by digital transformation. People can annotate content to increase its overall enterprise utility in instances in which someone s gone through it and said this is a best practice document, Carmel said. This is now a knowledge document and a reference we can use. They may have cleaned it up, added citations to it from a new piece of work, and it becomes a benchmark or a template.

Machine learning: There are numerous solutions, several of which are accessed via the cloud, that employ machine learning to automatically tag content with descriptive metadata to increase search accuracy.

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Fidelity rolls out five thematic ETFs in Europe – ETF Strategy

Fidelity International has introduced a suite of five thematic equity ETFs in Europe targeting the emerging technology themes of clean energy, electric vehicles & future transportation, cloud computing, digital health, and the metaverse.

Fidelity has launched its first thematic equity ETFs in Europe.

The funds are linked to indices developed in-house by Fidelitys quantitative research and investment team.

Each index covers a broad global universe consisting of stocks from across the market capitalization spectrum while using a combination of company revenue data and natural language processing (NLP) to select companies best aligned with the underlying theme.

NLP is used to analyze text-based documents to identify companies with relevant keywords associated with business activities linked to a specific theme. Stocks are then assigned a thematic relevancy score and those with the highest scores are selected for inclusion in the index.

Companies must typically generate at least 50% of their total revenue from business activities relevant to the theme to be eligible for inclusion.

Each index also includes an environmental, social, and governance (ESG) screen which, according to Fidelity, results in at least 50% of each indexs underlying constituents having sustainable characteristics. As such, each ETF is classified as an Article 8 product under the European Unions Sustainable Finance Disclosure Regulation (SFDR).

Commenting on the new listings, Nick King, Head of ETFs at Fidelity International, said: Thematic investing seeks to identify and capitalize on long-term, structural trends by investing across countries and sectors to capture transformative drivers of the global economy, businesses, and society. Many of these themes have an enhanced focus on sustainability as well as seeking to address specific social and environmental challenges.

Our thematic indices have been constructed through a collaboration of our proprietary fundamental, sustainable, and quantitative research capabilities to ensure that we are providing clients with exposure to the best stocks in each particular theme.

The ETFs have been listed across Europe including on London Stock Exchange, Deutsche Brse Xetra, and SIX Swiss Exchange, with a further listing on Borsa Italiana expected in the near future.

Each fund comes with an expense ratio of 0.50%.

The ETFs

The Fidelity Clean Energy UCITS ETF (FRNG) tracks the Fidelity Clean Energy ESG Tilted Index. The index reflects the performance of companies that distribute, produce or provide technology or equipment to support the production of energy from solar, wind, hydrogen, and other renewable sources.

The Fidelity Electric Vehicles and Future Transportation UCITS ETF (FDRV) tracks the Fidelity Electric Vehicles and Future Transportation ESG Tilted Index. The index reflects the performance of companies engaged in the production of electric or autonomous vehicles and their components, as well as firms developing technologies or energy systems that aim to change the future of transportation.

The Fidelity Cloud Computing UCITS ETF (FCLD) tracks the Fidelity Cloud Computing ESG Tilted Index. The index reflects the performance of companies that provide products or services enabling the increased adoption of cloud computing, characterized by the delivery of computing services over the internet.

The Fidelity Digital Health UCITS ETF (FDHC) tracks the Fidelity Digital Health ESG Tilted Index. The index reflects the performance of companies providing healthcare records management, connected healthcare devices, surgical robotics, telemedicine, and other technology-enabled healthcare products and services.

The Fidelity Metaverse UCITS ETF (FMTV) tracks the Fidelity Metaverse ESG Tilted Index. The index reflects the performance of companies that develop, manufacture, distribute, and sell products or services related to establishing and enabling the metaverse.

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Fidelity rolls out five thematic ETFs in Europe - ETF Strategy

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