Exactly same 1Z0-997-20 questions and answers as in actual test.

killexams.com served thousands of candidates who passed their 1Z0-997-20 exams and get their certifications. We had huge number of successful reviews. Our 1Z0-997-20 questions and answers are reliable, affordable, updated and of really best standard to overcome the difficulties of 1Z0-997-20 exam. killexams.com 1Z0-997-20 mock exam are latest updated in highly outclass manner on regular basis and exam prep are updated on regular basis.

Exam Code: 1Z0-997-20 Practice exam 2022 by Killexams.com team
Oracle Cloud Infrastructure 2020 Architect Professional
Oracle Infrastructure Questions and Answers
Killexams : Oracle Infrastructure mock exam - BingNews https://killexams.com/pass4sure/exam-detail/1Z0-997-20 Search results Killexams : Oracle Infrastructure mock exam - BingNews https://killexams.com/pass4sure/exam-detail/1Z0-997-20 https://killexams.com/exam_list/Oracle Killexams : New Oracle Database Platforms And Services Deliver Outstanding Cloud Benefits

Let’s talk about Oracle’s successful and expanding investment in cloud infrastructure. The company just celebrated its 45th anniversary, beat Wall Street’s estimated revenue in its fiscal fourth quarter, and showed its highest organic revenue growth rate in over a decade. The company is clearly doing a lot of things its customers like.

Front-and-center to Oracle’s success is Oracle Cloud Infrastructure (OCI) growth. Over the past year there has been a steady stream of OCI-related announcements. These have included plans to grow from 30 to 44 public cloud regions by the end of 2022 (39 are already in place), smaller Dedicated Region configurations, plans for Sovereign Clouds, new Cloud@Customer offerings, and expansions of OCI’s already impressive portfolio of services. This is perhaps the fastest expansion of cloud services by any service provider, and it helped drive Oracle’s 49% year-over-year IaaS growth and 108% growth in Exadata Cloud@Customer (Q4 FY22 earnings report).

And, if those aren't enough to make you consider OCI for your public cloud, what about the new Oracle Database Service for Microsoft Azure that Larry Ellison and Satya Nadella announced at Microsoft Inspire on July 20th? This new service allows Azure customers to choose where to run Oracle Database for their Azure applications. Azure users can easily set up and use Oracle databases running on optimized OCI infrastructure directly from Azure, without logging into OCI.

The Oracle Database Service for Microsoft Azure is an Oracle-managed service currently available in 11 pairs of OCI and Azure regions worldwide. It uses the existing OCI-Azure Interconnect to offer latency between the two clouds of less than 2 milliseconds over secure, private, high-speed networks. This means that developers and mission-critical applications running on Azure can directly access the performance, availability, and automation advantages of Oracle Autonomous Database Service, Exadata Database Service, and Base Database Service running on OCI.

Oracle’s growth numbers represent a great metric to measure its overall success. However, most IT architects and developers want to understand why Oracle's cloud offerings are better than the likes of Amazon Web Services (AWS) for their Oracle Database workloads.

The answer is simple. While Oracle is undoubtedly a strong competitor when matched head-to-head against nearly every public cloud offering, it offers clear advantages for Oracle Database applications. For example, organizations that use Oracle Database in their on-premises data center can more easily move workloads to OCI because it provides extreme levels of compatibility with on-premises installations and offers organizations the same or greater performance, scale, and availability. You won't find a better example of this than Oracle’s cloud-enabled Exadata X9M platform that’s available natively in OCI or for Azure users through Oracle Database Service for Microsoft Azure.

Last year, Oracle delivered what may be the fastest OLTP database machine with the Exadata X9M. This machine is engineered to do only one thing: run Autonomous Database Service and Exadata Database Service faster and more efficiently than anything else on the market, delivering up to 87% more performance than the previous generation platform.

Wringing every ounce of performance and reliability from a database machine such as Oracle Exadata requires thinking about system architecture from the ground up. It requires a deep knowledge of Oracle Database and the ability to optimize the entire hardware and software stack. This is a job that only Oracle can realistically take on.

Exadata X9M’s employs a flexible blend of scale-up and scale-out capabilities that support virtually any workload by separately scaling database compute and storage capabilities. Of particular note is how the Exadata X9M provides high performance for both transactional and analytics workloads and efficient database consolidation.

Let’s start with analytics. At the highest level, Exadata X9M enables fast analytics through parallelism and smart storage. Complex queries are automatically broken down into components that are distributed across smart Exadata storage servers. The storage servers then run low-level SQL and machine learning operations against their local data, returning only results to the database servers. This allows applications to use 100s of gigabytes to terabytes per second of throughput—something you won’t find on your typical cloud database.

For OLTP, Exadata X9M breaks out some additional secret sauce in the form of scalable database server clusters, persistent memory (PMem) in the smart storage servers, and remote direct memory access over converged Ethernet (RoCE) that links them together. Databases run across hundreds of vCPUs to provide high performance and availability and read data directly from shared PMEM on the storage servers. The end result is that Oracle Database achieves SQL read latencies from shared storage of under 19 microseconds, which is more than ten times faster than traditional flash storage.

However, Exadata X9M in OCI doesn’t forego the use of flash memory, it embraces it. Without applications having to do anything, Exadata storage servers automatically move data between terabytes of PMem, tens or hundreds of terabytes of NVMe 4.0 flash, and terabytes to petabytes of disk storage to provide the best performance for different types of workloads. This results in a level of performance that isn’t possible with a traditional on-premises or cloud architecture built using generic servers and storage.

Bringing X9M to the Cloud

There's no question that cloud resources are integral to nearly every enterprise's IT infrastructure. The cloud offers a flexible and scalable consumption model with economics that can be superior to traditional on-premises deployments. While cloud infrastructure can be easily scaled to meet many growing application needs, this is not necessarily true for databases that support mission-critical applications. It's common for organizations to have to refactor applications and redesign databases when they move to the cloud to provide the same levels of performance and availability they had premises, such as when moving Oracle Database to AWS. However, by deploying Exadata X9M in OCI, Oracle eliminates the expensive and time-consuming need to refactor applications for the cloud.

Oracle Exadata X9M in OCI shines for enterprise applications by delivering an elastic cloud database experience. For example, when running Autonomous Database Service or Exadata Database Service on dedicated X9M infrastructure in OCI, you can use 2 to 32 database servers and 3 to 64 smart storage servers in any combination. This means you can deploy platforms with more database servers for heavy OLTP workloads, more storage servers for data warehouses, or an even mixture of each when consolidating both types of workloads.

You can get the raw numbers for CPUs, storage, and memory for Exadata X9M in OCI from the Oracle website. Still, the critical thing to know is that all configurations deliver the database capabilities that enterprises require. For instance, the “entry” Exadata X9M configuration in OCI supports 19 microsecond SQL Read IO latency, 5.6 M SQL Read IOPS, and 135 GB/second of analytics throughput. Furthermore, with the ability to scale database servers by 16x and storage servers by 21x, we expect that no organizations will run into performance limitations.

Oracle tells us that by putting Exadata X9M into OCI, it now delivers the world's fastest OLTP cloud database performance, and they have the data to back it up. Latency is critical for OLTP workloads, an area where the X9M has no equal. Exadata X9M’s 19 microsecond SQL IO latency is 25x better than when running Oracle Database on AWS Relational Database Service (RDS). The analytics throughput numbers from shared storage are even more impressive, with Oracle claiming that Exadata X9M in OCI delivers up to 384x the analytics throughput of Oracle Database running on AWS RDS.

Oracle has conquered the performance challenges for OLTP and analytics in the cloud and delivers this level of performance with attractive economics. Oracle makes the Exadata X9M for OCI available with a true consumption-based model where you only pay for the size of platform you need and the consumption you use. One key feature of Oracle Autonomous Database running on Exadata X9M is that it can auto-scale consumption by 3x based on the demands of the queries executing at every point in time. This helps you meet peak requirements by scaling up database consumption when needs grow and minimizes costs by scaling it back down later. Oracle cites global customers using these scaling capabilities to economically meet seasonal demands for retail companies and end-of-quarter financial closes for any business.

Analyst Take

Running business workloads in the cloud is popular and continues growing at impressive rates because it solves practical problems for IT practitioners and business users. However, generic cloud infrastructure hasn’t delivered the same level of performance and availability for mission-critical OLTP and analytics workloads that many customers achieved with on-premises platforms.

If your enterprise depends on Oracle Database technology—and 97% of the Global Fortune 100 companies use Oracle Database, with 88% relying on Oracle Exadata for business-critical workloads—you need to seriously consider running your cloud database workloads on Exadata X9M in OCI. Oracle's expanding portfolio of OCI services and delivery platforms, coupled with its unique ability to integrate optimized database platforms like Exadata X9M into OCI redefines what it means to run mission-critical databases in the cloud.

The Exadata X9M is built by the same people who build the Oracle Database, best positioning Oracle to optimize the performance, reliability, and automation required to get the most out of Oracle Database in the cloud. Oracle Exadata X9M is a stellar piece of engineering, bringing together compute and storage in an optimized architecture that delivers levels of throughput and reliability that deserve the superlatives I'm throwing around. And, it's not just me saying it; Oracle's momentum in the cloud bears this out as customers continue to make Exadata their preferred option to run Oracle Database.

When combined with the new Oracle Database Service for Microsoft Azure, Exadata X9M in OCI should cause organizations to rethink strategies focused on using generic cloud infrastructure for critical database applications.

Note: Moor Insights & Strategy writers and editors may have contributed to this article.

Moor Insights & Strategy, like all research and tech industry analyst firms, provides or has provided paid services to technology companies. These services include research, analysis, advising, consulting, benchmarking, acquisition matchmaking, and speaking sponsorships. The company has had or currently has paid business relationships with 8×8, Accenture, A10 Networks, Advanced Micro Devices, Amazon, Amazon Web Services, Ambient Scientific, Anuta Networks, Applied Brain Research, Applied Micro, Apstra, Arm, Aruba Networks (now HPE), Atom Computing, AT&T, Aura, Automation Anywhere, AWS, A-10 Strategies, Bitfusion, Blaize, Box, Broadcom, C3.AI, Calix, Campfire, Cisco Systems, Clear Software, Cloudera, Clumio, Cognitive Systems, CompuCom, Cradlepoint, CyberArk, Dell, Dell EMC, Dell Technologies, Diablo Technologies, Dialogue Group, Digital Optics, Dreamium Labs, D-Wave, Echelon, Ericsson, Extreme Networks, Five9, Flex, Foundries.io, Foxconn, Frame (now VMware), Fujitsu, Gen Z Consortium, Glue Networks, GlobalFoundries, Revolve (now Google), Google Cloud, Graphcore, Groq, Hiregenics, Hotwire Global, HP Inc., Hewlett Packard Enterprise, Honeywell, Huawei Technologies, IBM, Infinidat, Infosys, Inseego, IonQ, IonVR, Inseego, Infosys, Infiot, Intel, Interdigital, Jabil Circuit, Keysight, Konica Minolta, Lattice Semiconductor, Lenovo, Linux Foundation, Lightbits Labs, LogicMonitor, Luminar, MapBox, Marvell Technology, Mavenir, Marseille Inc, Mayfair Equity, Meraki (Cisco), Merck KGaA, Mesophere, Micron Technology, Microsoft, MiTEL, Mojo Networks, MongoDB, MulteFire Alliance, National Instruments, Neat, NetApp, Nightwatch, NOKIA (Alcatel-Lucent), Nortek, Novumind, NVIDIA, Nutanix, Nuvia (now Qualcomm), onsemi, ONUG, OpenStack Foundation, Oracle, Palo Alto Networks, Panasas, Peraso, Pexip, Pixelworks, Plume Design, PlusAI, Poly (formerly Plantronics), Portworx, Pure Storage, Qualcomm, Quantinuum, Rackspace, Rambus, Rayvolt E-Bikes, Red Hat, Renesas, Residio, Samsung Electronics, Samsung Semi, SAP, SAS, Scale Computing, Schneider Electric, SiFive, Silver Peak (now Aruba-HPE), SkyWorks, SONY Optical Storage, Splunk, Springpath (now Cisco), Spirent, Splunk, Sprint (now T-Mobile), Stratus Technologies, Symantec, Synaptics, Syniverse, Synopsys,Tanium, Telesign,TE Connectivity, TensTorrent, Tobii Technology, Teradata,T-Mobile, Treasure Data, Twitter, Unity Technologies, UiPath, Verizon Communications, VAST Data, Ventana Micro Systems, Vidyo, VMware, Wave Computing, Wellsmith, Xilinx, Zayo, Zebra, Zededa, Zendesk, Zoho, Zoom, and Zscaler. Moor Insights & Strategy founder, CEO, and Chief Analyst Patrick Moorhead is an investor in dMY Technology Group Inc. VI, Dreamium Labs, Groq, Luminar Technologies, MemryX, and Movandi.

Mon, 01 Aug 2022 01:01:00 -0500 Steve McDowell en text/html https://www.forbes.com/sites/moorinsights/2022/08/01/new-oracle-database-platforms-and-services-deliver-outstanding-cloud-benefits/
Killexams : Here’s Why A Bunch Of Lawmakers Are Asking Questions About TikTok

Maddie Abuyuan / BuzzFeed News

1. Two separate BuzzFeed News investigations over the last couple of months revealed that TikTok, the world’s most popular app used by millions in the US, let the China-based ByteDance, its parent company, repeatedly access the data of the app’s American users.

2. Recordings of 80 company meetings obtained by BuzzFeed News showed that ByteDance’s engineers in China accessed American data between September 2021 and January 2022. “Everything is seen in China,” an employee in TikTok’s Trust and Safety department said in a meeting in September 2021.

3. Hours before the first investigation was published, TikTok announced that it had changed the “default storage location of US user data.” The company said that all “US user traffic is being routed to Oracle Cloud Infrastructure. We will still use our US and Singapore data centers for backup, but as we continue our work we expect to delete US users’ private data from our own data centers and fully pivot to Oracle cloud servers located in the US.” Oracle is an American database giant.

4. The investigation sparked fresh backlash against TikTok in the US. Brendan Carr, a commissioner of the Federal Communications Commission, asked Apple and Google to remove TikTok from their app stores.

5. Nine Republican senators led by Marsha Blackburn also sent a letter to TikTok CEO Shou Zi Chew and demanded answers to questions about the privacy of American users. TikTok responded to the letter a couple of days later and admitted that ByteDance employees in China could access US users’ sensitive information. But the company said that it manages access to that information via a security team that is based in the US. It didn’t divulge more details about this access.

6. In response to the investigation, TikTok spokesperson Maureen Shanahan told BuzzFeed News: "We know we're among the most scrutinized platforms from a security standpoint, and we aim to remove any doubt about the security of US user data. That's why we hire experts in their fields, continually work to validate our security standards, and bring in reputable, independent third parties to test our defenses."

7. ByteDance used a popular news app that it owned called TopBuzz, which is now defunct, to prominently feature content that was favorable to China, a second BuzzFeed News investigation published earlier this week showed. TopBuzz also censored stories about the Chinese government, former employees claimed.

8. Three former employees told BuzzFeed News that TopBuzz staff occasionally pinned pro-Chinese content to the top of the app. Employees were also required to provide evidence to ByteDance that they were placing this content in the app through screenshots. “Let’s be real, this was not something you could say no to,” a source said. “If they don’t do it, somebody’s going to jail.”

9. Employees also claimed that they were asked to remove coverage of the Hong Kong protests and some content that showed openly LGBTQ people. The company also removed any articles about Chinese President Xi Jinping and any content that compared him to Winnie the Pooh, something that the Chinese government has a history of censoring.

10. Employees said that TopBuzz illegally scraped and republished content from mainstream newspapers and magazines, including the New York Times, without its permission, and also videos from YouTube. A New York Times spokesperson told BuzzFeed News that the company had sent TopBuzz a cease-and-desist order for republishing content without permission. TopBuzz also published low-quality content to drive up engagement, including misinformation.

11. Six former employees told BuzzFeed News that the company also used the scraped data to train its algorithms to write news automatically without human journalists.

12. ByteDance spokesperson Billy Kenny issued the following statement to BuzzFeed News in an email: “The claim that TopBuzz — which was discontinued years ago — pinned pro-Chinese government content to the top of the app or worked to promote it is false and ridiculous. TopBuzz had over two dozen top tier US and UK media publishing partners, including BuzzFeed, which clearly did not find anything of concern when performing due diligence.” In response, a spokesperson for BuzzFeed Inc. said, “BuzzFeed, Inc. reaches its audience on all the major platforms — including those owned by ByteDance — while continuing to report on those platforms with rigorous journalism.”

13. The second investigation drew more angry reactions from lawmakers.

14. A day after the second investigation was published, TikTok released a blog post in which COO Vanessa Pappas announced that it would soon provide access to the “public and anonymized data” on the platform to “selected researchers” so that they could “assess content and trends” or conduct tests more easily. TikTok also plans to deliver these researchers a way to examine the platform’s moderation system and even upload their own content to use in their tests.

15. On the same day, Gizmodo obtained TikTok’s internal PR documents that showed how TikTok prepped its staff to answer tricky questions, including those about its links to China. “Downplay the parent company ByteDance, downplay the China association, downplay AI,” one of the sentences in the documents reads.

Got a tip? You can email pranav.dixit@buzzfeed.com. To learn how to reach us securely, go to tips.buzzfeed.com.

Fri, 29 Jul 2022 07:07:00 -0500 en-US text/html https://finance.yahoo.com/news/why-bunch-lawmakers-asking-questions-190740330.html
Killexams : Oracle's all-important cloud business has reorganized and a top exec is leaving, leaked documents show

Related articles

Mon, 01 Aug 2022 11:10:00 -0500 en-US text/html https://www.businessinsider.com/oracle-top-exec-leaves-stripe-oci-cloud-reorg-2022-8
Killexams : What we hope to learn at Supercloud22

The term supercloud is relatively new, but the concepts behind it have been bubbling for years.

Early last decade when the National Institute of Standards and Technology put forth its original definition of cloud computing, it said services had to be accessible over a public network — essentially cutting the on-premises crowd out of the conversation. Chuck Hollis, the chief technology officer at EMC and prolific blogger, objected to that criterion and laid out his vision for what he termed a private cloud. In that post he showed a workload running both on-premises and in a public cloud, sharing the underlying resources in an automated and seamless manner – what later became more broadly known as hybrid cloud.

That vision, as we now know, really never materialized and we were left with multicloud — sets of largely incompatible and disconnected cloud services running in separate silos. The point is, what Hollis put forth – the ability to abstract underlying infrastructure complexity and run workloads across multiple heterogeneous estates with an identical experience – is what supercloud is all about.

In this Breaking Analysis we’re excited to share what we hope to learn at Supercloud22 next week.

On Tuesday, Aug. 9, at 9 a.m. PDT, the community is gathering for Supercloud22, an inclusive and open pilot symposium hosted by theCUBE and made possible by VMware Inc. and other founding partners. It’s a one-day, single-track event with more than 25 speakers digging into the architectural, technical, structural and business aspects of supercloud. This is a hybrid event, with a live program in the morning and pre-recorded content in the afternoon featuring industry leaders, technologists, analysts and investors up and down the technology stack.

The seeds of supercloud were sown early last decade

After the very first re:Invent, Amazon Web Services Inc.’s annual cloud conference, we published our Amazon Gorilla post seen in the upper right above. And we talked about how to differentiate from Amazon and form ecosystems around industries and data and how the cloud would change information technology permanently.

In the upper left we put a post up on the old Wikibon.org wiki and we talked about the importance of traditional tech companies and their customers learning to compete in the Amazon economy. We showed a graph of how IT economics were changing and cloud services had marginal economics that looked more like software than hardware at scale. And we posited that this would reset opportunities for both technology sellers and industries for the next 20 years.

This came into sharper focus in the ensuing years, culminating in a milestone post by Greylock’s Jerry Chen called Castles in the Cloud, an inspiration and catalyst for us using the term supercloud in John Furrier’s post prior to re:Invent 2021.

The CTO Advisor’s take

Once we floated the concept, people in the community started to weigh in and help flesh out this idea of supercloud — where companies of all types build services on top of hyperscale infrastructure and across multiple clouds, and going beyond multicloud 1.0, which we argued was really a symptom of multivendor.

Despite its somewhat fuzzy definition, it resonated with people because they knew something was brewing. Keith Townsend, the CTO Advisor, even though he wasn’t necessarily a big fan of the buzzy nature of the term supercloud, posted this awesome blackboard talk on Twitter:

Keith has deep practitioner knowledge and lays out a couple of options. Especially useful are the examples he uses of cloud services, which recognize the need for cross-cloud services and the aspirational notion of VMware’s vision. Remember this was in January 2021. And he brings HashiCorp into the conversation. It’s one of the speakers at Supercloud22. And he asks the community what they think.

Which is what we’re asking you. We’re trying to really test out the viability of supercloud and people like Keith are instrumental as collaborators.

Not everyone is on board

It’s probably not a shock to you to hear that not everyone’s is not on board with the supercloud meme. In particular, Charles Fitzgerald has been a wonderful collaborator just by his hilarious criticisms of the concept. After a couple of supercloud posts, Charles put up his second rendition of supercloudafragilisticexpialidocious. It’s just beautiful.

To boot, he put up this picture of Baghdad Bob asking us to “Please Just Stop.” Bob’s real name is Muhammad Saeed al-Sahhaf. He was the minister of propaganda for Saddam Hussein during the 2003 invasion of Iraq, making outrageous claims of U.S. troops running Saddam’s elite forces in fear.

Charle’s laid out several helpful critiques of supercloud, which has led us to further refine the definition and catalyze the community’s thinking on the topic. One of his issues, and there are many, is we said a prerequisite of supercloud was a superPaaS layer. Gartner’s Lydia Leong chimed in (see above) saying there were many examples of successful platform-as-a-service vendors built on top of a hyperscaler, some having the option to run in more than one cloud provider.

But the key point that we’re trying to explore is the degree to which that PaaS layer is purpose-built for a specific supercloud; and not only runs in more than one provider, as Lydia said, but runs across multiple clouds simultaneously, creating an identical developer experience irrespective of estate. Now maybe that’s what she meant… it’s hard to say from a tweet.

But to the former point, at Supercloud22 we have several examples we’re going to test. One is Oracle Corp.’s and Microsoft Corp.’s latest announcement to run database services on Oracle Cloud Infrastructure and Microsoft Azure, making them appear as one. Rather than use an off-the-shelf platform, Oracle claims to have developed a capability for developers specifically built to ensure high performance, low latency and a common experience across clouds.

Another example we’re going to test is Snowflake Inc. We’ll be interviewing Benoit Dageville, co-founder of Snowflake, to understand the degree to which Snowflake’s latest announcement of an application platform is purpose built for the Snowflake Data Cloud. Is it just a plain old PaaS – big whoop as Lydia claims – or is it something new and innovative?

By the way we invited Charles Fitz to participate in Supercloud22 and he declined, saying, in addition to a few other semi-insulting quips:

[There’s] “definitely interesting new stuff brewing [that] isn’t traditional cloud or SaaS. But branding it all supercloud doesn’t help either.

Indeed, we agree with the former sentiment. As for the latter, we definitely are not claiming everything is supercloud. But to Charles’ point, it’s important to define the critical aspects of supercloud so we can determine what is and what isn’t supercloud. Our goal at Supercloud22 is to continue to evolve the definition with the community. That’s why we’ve asked Kit Colbert, CTO of VMware, to present his thinking on what an architectural framework for cross-cloud services, what we call supercloud, might look like.

The analysts’ take

We’re also featuring some of the sharpest analysts in the business at Supercloud22 with The Great Supercloud Debate.

In additional to Keith Townsend, Maribel Lopez of Lopez Research and Sanjeev Mohan, former Gartner analyst and now principal at Sanjmo, participated in this session. Now we don’t want to mislead you and imply that these analysts are hopping on the supercloud bandwagon. But they’re more than willing to go through the thought experiment and this is a great conversation that you don’t want to miss.

Maribel Lopez had an excellent way to think about this topic. She used TCP/IP as an historical example, saying:

Remember when we went to TCP/IP, and the whole idea was, how do we get computers to talk to each other in a more standardized way? How do we get data to move in a more standardized way? I think that the problem we have with multicloud right now is that we don’t have that. So that’s sort of a ground level of getting us to your supercloud premise.

Listen to Maribel Lopez share here thoughts on the base level requirements for supercloud.

As well, Sanjeev Mohan has some excellent thoughts on whether the path to supercloud will be achieved via open-source technology or a de facto standard platform.

Now again, we don’t want to imply that these analysts are all out banging the supercloud drum. They’re not necessarily. But it’s fair to say that, like Charles Fitzgerald, they believe something new is bubbling up. And whether it’s called supercloud or multicloud 2.0 or cross-cloud services, or whatever name you want to choose, it’s not multicloud of the 2010s.

Our goal here is to advance the discussion on what’s next in cloud. Supercloud is meant to be a term that describes the future. And specifically the cloud opportunities that can be built on top of hyperscale compute, storage, networking, machine learning and other services at scale.

Addressing the top 10 questions around supercloud

That is why we posted the piece on answering the top 10 questions about supercloud, many of which were floated by Charles Fitzgerald and others in the community.

Why does the industry need another term? What’s really new and different and what is hype? What specific problems does supercloud solve? What are the salient characteristics of supercloud? What’s different beyond multicloud? What is a superPaaS? How will applications evolve on superclouds?

All these questions will be addressed in detail as a way to advance the discussion and help practitioners and business people understand what’s real today and what’s possible in the near future.

Who will build superclouds?

One other question we’ll address is: Who are the players that will build out superclouds and what new entrants can we expect? Below is an Enterprise Technology Research graphic we showed in a previous episode of Breaking Analysis. It lays out some of the companies we think are either building superclouds or are in a position to do so.

The way the Y axis shows Net Score or spending velocity and the X axis depicts presence in the ETR survey of more than 1,200 respondents.

The key callouts to this slide, in addition to some of the smaller firms that aren’t yet showing up in the ETR data, such as ChaosSearch and Starburst and Aviatrix and Clumio, are the really interesting additions that are industry players. Walmart and Azure, CapitalOne and Goldman with AWS, Oracle Cerner: These, we think, are early examples of industry clouds that will eventually evolve into superclouds.

They may not all be cross-cloud today (Oracle/Microsoft is and perhaps Goldman’s cloud fits, since it connects to on-prem systems), but the potential is there. So we’ll explore these and other trends to get the community’s input on how this will play out.

Experts address key questions at Supercloud22

We have an amazing lineup of experts to answer your questions: Technologists such as Kit Colbert, Adrian Cockcroft, Marianna Tessel, Chris Hof, Will Laforest, Ali Ghodsi, Benoit Dageville, Muddu Sudhakar, Steve Mullaney, Priya Rajagopal, Lori MacVittie, Howie Xu, Haseeb Budhani, Rajiv Ramaswami, Vittorio Viarengo, Kris Rice, Karan Batta. Investors such as Jerry Chen, In Sik Rhee, the analysts we featured earlier, Paula Hansen talking about going to market in a multicloud world, Gee Rittenhouse, David McJannet, Bhaskar Gorti of Platform9 and more.

And of course you.

Please register for Supercloud22. It’s a really lightweight registration; we’re not doing this for lead gen, we’re doing it for collaboration, and if you sign in, you can chat and ask questions in real time. Don’t miss this inaugural event on Aug. 9 starting at 9 a.m. PDT.

Keep in touch

Thanks to Alex Myerson, who does the production, podcasts and media workflows for Breaking Analysis. Special thanks to Kristen Martin and Cheryl Knight, who help us keep our community informed and get the word out, and to Rob Hof, our editor in chief at SiliconANGLE.

Remember we publish each week on Wikibon and SiliconANGLE. These episodes are all available as podcasts wherever you listen.

Email david.vellante@siliconangle.com, DM @dvellante on Twitter and comment on our LinkedIn posts.

Also, check out this ETR Tutorial we created, which explains the spending methodology in more detail. Note: ETR is a separate company from Wikibon and SiliconANGLE. If you would like to cite or republish any of the company’s data, or inquire about its services, please contact ETR at legal@etr.ai.

Here’s the full video analysis:

All statements made regarding companies or securities are strictly beliefs, points of view and opinions held by SiliconANGLE Media, Enterprise Technology Research, other guests on theCUBE and guest writers. Such statements are not recommendations by these individuals to buy, sell or hold any security. The content presented does not constitute investment advice and should not be used as the basis for any investment decision. You and only you are responsible for your investment decisions.

Disclosure: Many of the companies cited in Breaking Analysis are sponsors of theCUBE and/or clients of Wikibon. None of these firms or other companies have any editorial control over or advanced viewing of what’s published in Breaking Analysis.

Image: SiliconANGLE

Show your support for our mission by joining our Cube Club and Cube Event Community of experts. Join the community that includes Amazon Web Services and Amazon.com CEO Andy Jassy, Dell Technologies founder and CEO Michael Dell, Intel CEO Pat Gelsinger and many more luminaries and experts.

Fri, 05 Aug 2022 02:35:00 -0500 en-US text/html https://siliconangle.com/2022/08/05/hope-learn-supercloud22/
Killexams : Lawmakers Question Oracle, Amazon And Others Over Location Data

House Democrats are questioning four data brokers about their policies regarding the sale of location information that could be used to identify women seeking abortions.

“Mobile phone location data can be used to track individuals who have visited abortion clinics or have left the state to seek care,” Representative Lori …

Wed, 20 Jul 2022 16:00:00 -0500 Wendy Davis en text/html https://www.mediapost.com/publications/article/375915/lawmakers-question-oracle-amazon-and-others-over.html
Killexams : To Pit or Not to Pit: How F1’s Red Bull Racing Makes Split-Second, Mid-Race Decisions

Photo credit: SYLVAIN THOMAS - Getty Images


"Hearst Magazines and Yahoo may earn commission or revenue on some items through the links below."

  • A partnership between Oracle and Red Bull Racing has pushed cloud computing into a central role in Formula 1 (F1) race preparation and race-day strategy.

  • Cloud computing has allowed Red Bull Racing to run billions of race simulations each weekend.

  • Future projects born from race-day analysis include designing a new F1 powertrain for 2026.

At a critical point in the Formula 1 Canadian Grand Prix race in June—with fan-favorite Max Verstappen’s Red Bull Racing car slightly leading Carlos Sainz Jr., who drives for Ferrari—Verstappen’s team had a key decision to make. Just eight laps in, the virtual safety car came out to slow the race cars down, leading to the pivotal question: to pit, or not to pit?

In Formula 1 races, it’s mandatory for drivers to take at least one pit stop. The real question is when to take it. If Red Bull pitted under the virtual safety car, it could reduce time lost during a stop. On the other hand, it would force the team to deliver up the lead, and keeping Verstappen out on the track could also introduce the risk of deteriorating tires later in the race.

To decide what to do, the team ran simulations. Plenty of them. And in real time.

“If we pit under the virtual [safety] car, we’d deliver up the lead, but the simulations were confident we would get the lead back again,” Will Courtenay, chief race strategist for Red Bull Racing, tells Popular Mechanics. “We took the pit stop, Sainz stayed out. Now we are 10 or so seconds behind, but then as the simulations correctly predicted, Sainz struggled on tires, and we got the lead back later in the race.” Verstappen won the Canadian Grand Prix on June 19, continuing his lead in the 2022 F1 standings, the same standings he dominated in 2021. (Teammate Sergio Pérez remains in third). Verstappen’s latest win, the Hungarian Grand Prix on July 31, was also thanks in part to some smart decision-making on which tires to choose.

Courtenay says the power of simulations, due to the new partnership with Oracle, has given the Red Bull team access to more data and better decision-making, both before and during a race. Red Bull went on a search for a cloud-based solution with a global reach, leading to Oracle joining the team in 2021. The partnership went so well that Oracle became a title partner in 2022. That continues to lead to beneficial results, both on the engineering side and in race strategy, according to Zoe Chilton, head of partnerships for Oracle Red Bull Racing (the full name Red Bull is currently competing under).

Every F1 team runs simulations. But Red Bull runs billions of them per weekend. Under F1’s budget cap, introduced in 2021, moving those simulations off-premise and into the cloud as teams traveled to 22 different countries not only saved Red Bull money it could be spending elsewhere, but sped up the process. “It is not just agility and efficiency,” Chilton tells Popular Mechanics. “By not running on-premise all week, it is a massive savings for us.”

“What we are trying to do is create a simulation of what a real race might look like,” Courtenay explains. “We feed in the model various factors—how tires perform, pace of all the cars, how long it takes to make a pit stop, a good or bad race start—and model as many aspects of the race as we possibly can.”

Then, the team tweaks a variable and runs the simulation again. And again. And again.

“Effectively, we end up doing this over the course of the weekend literally billions of times, generating billions of races and averaging results of all the simulations,” he says. Then, the team experiments with differing strategies. Once the race starts, the simulations don’t stop. The live simulations are where the value add has really come in, according to Courtenay. “Maybe suddenly you have a bad start and dropped six positions and now you’re in a completely different race scenario,” he says. “Our simulations have the capability of constantly updating at every overtake, a finish of a lap, updating predictions and recommendations based on how the race is unfolding. The live simulation is really existing in that situation.”

Photo credit: picture alliance - Getty Images

Take Miami as an example. A new track for the circuit in 2022, uncertainties about tire performance existed well before the race. Once the it started, the team quickly saw the tires were holding better than previously thought. With that data fed into the simulation, Courtenay says they were quickly able to pivot to a one-pit strategy.

“You haven’t got the time to sit down and have a good think,” he says. “What is the best thing for me right now? And I need the answer straightaway. The data quickly converged to a one-stop [strategy] and that gave us the confidence we could sit it out and go to a one-stop rather than having to panic. In a lot of uncertainty, it really helped us come to a good conclusion as quickly as we could.” On May 8, Verstappen won the Miami Grand Prix, and teammate Sergio Pérez came in fourth.

Moving to Oracle’s cloud-based system allowed Red Bull Racing to increase the number of simulations 25 times while accelerating speed 10 times over. “I get better results when I get them quicker,” Courtenay says. “When the safety car comes out, you need an answer straightaway. You can’t wait 30 seconds.”

Come 2026, F1 moves into the next stage of regulations, and Red Bull has embarked on the process of building its own powertrains. Chilton says they’re starting from scratch, so when thinking of engineering engine parts or car design, having the power of continuous simulation is paramount. “It is a very bespoke product for quite the niche,” she says. “If we use Oracle’s cloud infrastructure, we can test what kind of hardware and software run best. We can sample a lot of things. As we go forward, we are hoping to use more cloud resources for more fundamental business processes as well as the strategy simulations.”

The unique demands of F1 have benefits for others. Chilton says pushing the boundaries of what companies can do sets the team up for future success and can help a business explore new strategies.

“Oracle Red Bull Racing is our most demanding customer in terms of short-term demand,” Taylor Newill, senior director of motorsports engineering at Oracle, tells Popular Mechanics. “It has worked out really well and the infrastructure that Will and his team are driving us to build can service customers in financial and healthcare better as well.”

Photo credit: Charles Coates - Getty Images

Already, the hardware Oracle used to speed up the race simulations has successfully translated to health sciences customers that require faster data.

Oracle projects don’t stop at simulations and engineering. From small tasks, such as Oracle’s image-recognition system—with machine learning classifying images of rival cars to free up a staff member for more important work—to using AI technology to support the young driver training program, expect the reliance on computing speed to reach every aspect of Red Bull Racing’s business strategy.

Courtenay, though, remains focused on his task: race strategy. He’s already got plans for taking Oracle’s simulations up a notch. “We want to add more complexity, so we get a more accurate model of the race,” Courtenay says. And he needs it all right now. Life in F1 demands it.

You Might Also Like

Thu, 04 Aug 2022 09:02:00 -0500 en-US text/html https://www.aol.com/lifestyle/pit-not-pit-f1-red-180200961.html
Killexams : Oracle Automates the Tasks Sellers Despise with Next Generation CRM

Oracle Fusion Sales provides sellers with AI-powered recommendations and guided steps to close deals faster

AUSTIN, Texas, July 26, 2022  /PRNewswire/ -- Oracle today announced the next generation of Oracle Fusion Sales, a sales automation application that identifies high-quality sales opportunities and guides sellers to close deals faster. Part of Oracle Fusion Cloud Customer Experience (CX) and powered by artificial intelligence (AI), Fusion Sales automatically provides sellers with quotes, proposals, and recommended steps to help them increase productivity, close more deals, and instill confidence among buyers.

(PRNewsfoto/Oracle)

Nearly one third of sellers struggle to close deals and meet quotas, according to a latest study conducted by CRM analyst firm Beagle Research Group in partnership with Oracle. The study, "Does Your CRM Leave Money on the Table," highlights the struggles that sellers face with customer churn and archaic sales processes. In turn, sellers have noted that they are open to greater automation and trust AI to take on greater responsibilities, including qualifying leads (70 percent), identifying priority deals (60 percent), and tracking deal progress (80 percent).

"Traditional CRM systems were designed to be a system of record for planning and forecasting versus a tool to help sellers sell more. As a result, sellers spend countless hours on data entry and administration that stunts sales productivity," said Rob Tarkoff, executive vice president and general manager, Oracle Fusion Cloud Customer Experience (CX). "Applying 40 plus years of data and business process expertise, we have done the heavy lifting to engineer the next era of CRM. Oracle Fusion Sales removes the manual steps in the B2B sales process to help sellers close more deals faster and more efficiently."

Oracle Fusion Sales provides sellers with:

  • Step-by-Step Guided Processes: Sellers can onboard faster and Boost productivity with a guided step-by-step process to help engage with accounts, progress opportunities, and close deals faster. Customers can choose to base the processes on best practices set by leadership or customizable, industry-specific templates.

  • Conversation Ready Opportunities: Sellers can automate the process of re-qualifying and converting marketing leads into opportunities. Connected to Oracle Fusion Marketing, Fusion Sales automatically creates highly qualified leads and then passes them to sellers for follow-up.

  • Automated Quotes and Proposals: Sellers automatically receive initial quotes, proposals, and implementation schedules when opportunities are created. The quotes are automatically updated throughout the sales process as a deal progresses and are based on historical data that includes prior successful deals, a customer's industry, and other account attributes.

  • Intelligent Content Recommendations: Sellers can automatically receive marketing-approved content that is most likely to progress the sale. This saves sellers' and buyers' time at each step in the sales process and puts the right offers and answers to commonly asked questions directly in the seller's hands.

  • Digital Sales Rooms: Sellers can Boost the buying experience and better engage buyers by building personalized microsites. Helpful resources like quotes, past contracts, reference stories, and details for past or upcoming Zoom meetings are aggregated to help move buyers closer to a purchasing decision. As buyers use Digital Sales Rooms, sales operations can capture buying signals and other customer engagement data that can inform sales insights, internal training and enablement, and drive future deal success.

  • Advanced Revenue Intelligence: Sales leaders can easily access and report on business trends, spot outliers, and monitor customer sentiment and sales performance with Oracle Fusion CX Analytics. Fusion Sales provides a complete view across the business being able to pull in data from sales, marketing, service, finance, and HR all without support from IT.

What Customers and Partners are Saying About Fusion Sales

"CRM is an integral tool especially as we sell complex and expensive equipment and software solutions in 180 countries across the globe. We used to stitch together sales insights from an array of applications, Excel spreadsheets, and post-it notes. It wasn't an efficient process," said Samantha Mohr, vice president, inside sales, Ricoh. "Oracle Fusion Sales provides our sellers with a guided experience that focuses their time and improves deal success by delivering better insights to help us adapt to market shifts faster."

"Our customers are always searching for new approaches that drive real value and instill confidence in buyers. Oracle Fusion Sales helps solve significant challenges of the B2B selling environment with a boundaryless, adaptable, and radically human engineered architecture" said Andrea Cesarini, Europe Oracle business group lead, Accenture. "Having partnered for over 30 years now, Accenture and Oracle bring unparalleled innovation, industry, and technology acumen to our joint clients."

To learn more, please tune into Oracle Live on July 26, 2022, here.

Part of Oracle Fusion Cloud Applications Suite, Oracle Fusion Cloud Customer Experience (CX) connects data across advertising, marketing, sales, and service to make every customer interaction matter. Going beyond traditional CRM, learn about how Oracle Advertising and CX helps businesses      improve customer experience and build brand loyalty.

About Oracle
Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at oracle.com.

Trademarks
Oracle, Java, and MySQL are registered trademarks of Oracle Corporation.

Cision

View original content to get multimedia:https://www.prnewswire.com/news-releases/oracle-automates-the-tasks-sellers-despise-with-next-generation-crm-301593034.html

SOURCE Oracle

Mon, 25 Jul 2022 22:00:00 -0500 en-AU text/html https://au.news.yahoo.com/oracle-automates-tasks-sellers-despise-100000974.html
Killexams : What Are The Driving Forces Behind The Shift In Global Financial Markets Risks?

How to Protect your Wealth by Investing in AI Tech Stocks

Stock-Markets / Financial Markets 2022 Jul 17, 2022 - 06:32 PM GMT

By: Chris_Vermeulen

Stock-Markets

Global market risks have shifted dramatically over the past 90+ days. It almost seems as though the global markets turned 180 degrees overnight, generally going from moderately soft monetary policies to very extreme monetary policies and conditions. This sudden shift caught many traders and investors off guard and resulted in -20% to -25% losses for many.

The driving forces behind this sudden shift are inflation and excess capital (M2) because of nearly a decade of near-zero US interest rates. Much of the excess capital created over the past decade has been deployed into global equities, infrastructure, and various speculative instruments (art, homes, cryptos, collectibles, and others). However, without a doubt, the latest burst of inflation is also a result of COVID restrictions. Such restrictions reduced supply capabilities and the resulting interruptions of manufacturing/supply have been felt throughout the post-COVID global recovery.


Deleveraging Capital Excesses Causing Global Assets To Unwind Faster Than US Assets

The US & Global markets have contracted by more than 25%~35%. The following Custom Global Market Index highlights the extensive devaluation in global assets compared to US assets. US assets have fallen -23% from latest highs. Global assets have fallen -32% from latest highs – and are breaking downward again.

If this overall trend continues, it is very likely that Chinese & Asian markets could lead to a global contagion event related to extended credit/debt liabilities, economic expectations (GDP/Consumers), and real asset valuations. Over the past 5+ years, I’ve published many articles showing how China/Asia was uniquely positioned to take advantage of the US easy money policies. Results from this could extend credit/debt risks far beyond reasonable expectations. Is this global inflation event driving a global devaluation of assets?

Excess Phase Peak Consumption Can Lead To Extreme Risk Events

This excess phase consumption of cheap credit prompted many nations to engage in very high-risk multi-billion dollar infrastructure projects and other excesses.  The Belt-Road project is a perfect example of one nation extending billions of credit to at-risk nations to leverage cheap credit into future opportunities. As evidenced near every market peak, optimism near the peak of excess phases can be very addictive and dangerous.

Global debt levels have skyrocketed over the past 5+ years. With the US prompting extreme easy money policies, many foreign nations extended debt levels far beyond reasonable expectations when COVID hit. The following chart from the IMF shows consumers and corporations increased debt levels at an excessively higher rate in 2020. The excessive global debt levels are now evidently working as a liability for many Asian & Emerging markets.

(Source: https://www.imf.org/en/home)

Protecting & Growing Wealth When Markets Are In Chaos

I receive many questions from investors and traders every week. Generally, the most common question is “what can I do to profit right now from what is happening throughout the world?”. The simple answer to that question is to not extend any greater risk within your portfolio than necessary.

This chart from Bank of America Investment Strategies shows how aggressively World Government Bonds are reacting to inflation and global central bank rate increases. The short story of this chart is that Bonds are pricing in very unfavorable growth and capital function conditions over the next 3 to 5+ years. World Government bonds have reached risk levels we’ve not seen since post-WWI (1918+) or the Great Depression (1930+).

(Source: BankofAmerica.com)

Research & Technology Highlighted Risks & Opportunities

My research team and I have posted articles over the past 5+ years highlighting how global markets were taking advantage of the US monetary policy and inadvertently gorging themselves on cheap credit to address infrastructure, industrial, and consumer demand.  We’ve been warning of this moment and have strategies/technology to help you protect and grow your wealth as this chaos continues.

This Bloomberg Gold vs. Global Bonds chart highlights how aggressively global Bonds have adjusted to extreme risk factors. What this is telling traders/investors is that global central banks appear to have very few tools to efficiently manage inflationary trends – and these reflect in extreme risk factors in global bonds. Quickly raising rates to combat inflation trends may aggressively compound risk factors at this point. This chart is clearly showing us that global risk factors have never been this extreme, or disconnected, over the past 8+ years.

(Source: Bloomberg.com)

I suggest taking immediate action while this market chaos continues. Even though it may seem frightening, this is one of the best opportunities for you to take control of your assets, and also learn how to better protect and grow your wealth while the markets deleverage and resettle. Eventually, a market bottom will confirm, and global assets will begin another rally phase. Before this happens, though, all traders/investors need to begin taking immediate actions/steps to manage, protect and grow their wealth as efficiently as possible.

WHAT STRATEGIES CAN HELP YOU NAVIGATE THE CURRENT MARKET TRENDS?

Learn how we use specific tools to help us understand price cycles, set-ups, and price target levels in various sectors. Also, learn how we identify strategic entry and exit points for trades. Over the next 12 to 24+ months, we expect very large price swings in the US stock market. The markets have begun to transition away from the continued central bank support rally phase. A revaluation phase has started as global traders attempt to identify the next big trends. Precious Metals may start to act as a proper hedge as caution and concern begin to drive traders/investors into safe havens.

Historically, bonds have served as one of these safe havens. This isn’t proving to be the case, so if bonds are off the table, what bond alternatives are there? How can they be deployed in a bond replacement strategy?

HOW WE CAN HELP YOU LEARN TO INVEST CONSERVATIVELY

At TheTechnicalTraders.com, my team and I can do these things:

  • Reduce your FOMO and manage your emotions.
  • Have proven trading strategies for bull and bear markets.
  • Provide quality trades for investing conservatively.
  • Tell you when to take profits and exit trades.
  • Save you time with our research.
  • Provide above-average returns/growth over the long run.
  • Have consistent growth with low volatility/risks.
  • Make trading and investing safer, more profitable, and educational.

Sign up for my free trading newsletter so you don’t miss the next opportunity!

We invite you to join our group of active traders and investors to learn and profit from our three ETF Technical Trading Strategies. We can help you protect and grow your wealth in any type of market condition by clicking on the following link: www.TheTechnicalTraders.com

Have a great day!

Chris Vermeulen
www.TheTechnicalTraders.com

Chris Vermeulen has been involved in the markets since 1997 and is the founder of Technical Traders Ltd. He is an internationally recognized technical analyst, trader, and is the author of the book: 7 Steps to Win With Logic

Through years of research, trading and helping individual traders around the world. He learned that many traders have great trading ideas, but they lack one thing, they struggle to execute trades in a systematic way for consistent results. Chris helps educate traders with a three-hour video course that can change your trading results for the better.

His mission is to help his clients boost their trading performance while reducing market exposure and portfolio volatility.

He is a regular speaker on HoweStreet.com, and the FinancialSurvivorNetwork radio shows. Chris was also featured on the cover of AmalgaTrader Magazine, and contributes articles to several leading financial hubs like MarketOracle.co.uk

Disclaimer: Nothing in this report should be construed as a solicitation to buy or sell any securities mentioned. Technical Traders Ltd., its owners and the author of this report are not registered broker-dealers or financial advisors. Before investing in any securities, you should consult with your financial advisor and a registered broker-dealer. Never make an investment based solely on what you read in an online or printed report, including this report, especially if the investment involves a small, thinly-traded company that isn’t well known. Technical Traders Ltd. and the author of this report has been paid by Cardiff Energy Corp. In addition, the author owns shares of Cardiff Energy Corp. and would also benefit from volume and price appreciation of its stock. The information provided here within should not be construed as a financial analysis but rather as an advertisement. The author’s views and opinions regarding the companies featured in reports are his own views and are based on information that he has researched independently and has received, which the author assumes to be reliable. Technical Traders Ltd. and the author of this report do not guarantee the accuracy, completeness, or usefulness of any content of this report, nor its fitness for any particular purpose. Lastly, the author does not guarantee that any of the companies mentioned in the reports will perform as expected, and any comparisons made to other companies may not be valid or come into effect.

© 2005-2019 http://www.MarketOracle.co.uk - The Market Oracle is a FREE Daily Financial Markets Analysis & Forecasting online publication.

Sun, 17 Jul 2022 04:31:00 -0500 text/html https://www.marketoracle.co.uk/Article70393.html
Killexams : Extraordinary Women in Tech Conference Announces Speakers from Google, Meta, Microsoft, Oracle, and More

Global conference speakers disclose advice to rising women in tech in preview of the October 2022 event that offers an unprecedented opportunity for personalized career coaching and up-close interaction with top executives around the world.

SAN FRANCISCO, Aug. 2, 2022 /PRNewswire-PRWeb/ -- Following regional conferences in Rio de Janeiro, New York, and Lisbon, female executives from around the world are gearing up for the Extraordinary Women in Tech Global Conference on October 3rd and 4th, 2022, at the InterContinental Hotel in San Francisco, California. The event provides a platform for women in the IT sector to network with peers and mentors and features two full days of talks, networking activities, experience rooms, and career advancement sessions designed to cultivate an open exchange of innovative thinking and provide mentoring toward personal and professional goals for tech leaders and rising tech stars alike.

Speakers will include some of today's top female leaders, including Meredith Harper, SVP chief information security officer, Synchrony; Gretchen O'Hara, VP US AI and sustainability strategy, Microsoft; Petek Utku, VP technical operations Oracle cloud infrastructure, Oracle; Rani Y., global head AI technology and innovation, Ericsson; Jin Zhang, director of engineering, Meta; and Monica Lenart, senior staff software engineer, Google. (See conference website for full speaker list and conference agenda.)

Speaker Advice Column
Conference tracks include Technology & Innovation, Leadership & Strategy, and Inspire & Be Inspired. To preview a few of the conference topics, EWiT speakers shared advice to women seeking to take the next step in their careers:

Why Attend EWiT?
"The possibilities that this conference opens up for each of us as individuals and as leaders is exponential… As women, each of us has a job. We have a job to make sure that our voices are heard. We have a job every single day to help each other. We have a job to network and make sure that the companies we're working at have diverse age, backgrounds, gender, etc. This is what will make us better leaders and it will make what we're building in our individual jobs better. And it starts right here at home with what we're discussing: empowering our female leadership." ~ Nicole Brown, vice president HR people, talent, operations and culture - engineering, e-commerce, technology, Albertsons. Nicole will talk on Leading with Empowerment.

What advice would you deliver women seeking to take the next step in their careers?
"My number one advice would be to focus on your communication. Make sure you're vocal and people understand what you need… Don't take 'No' for an answer. Always try to figure out other ways, and look for allies." ~ Suzanna Khatchatrian, senior director of data engineering, Slack.

How do you recommend women achieve success in their careers?
"There's no substitute for hard work. There's no substitute for learning in a tech job. So you have to continuously learn and evolve. The second thing that set me apart from others, which becomes really difficult, is doing the things others are not doing. Don't try to fit into wherever you are. You be yourself, and if you think certain things are not done in the right manner, have courage to say why not and fix it… The third thing is you have to take risks. If you don't take risks and you're not adaptive, it's hard to grow." ~ Bharti Patel, chief technology officer, Alen Corporation.

How to Participate in EWiT
Prospective attendees are encouraged to apply online for tickets as soon as possible since the conference is almost full. Sponsors who wish to show their support for women in tech, diversity, and inclusion while gaining visibility with tech leaders globally are also invited to apply for an exclusive sponsorship package.

About the Extraordinary Women In Tech Conference:
Leading software consultancy Avenue Code will host the first-ever Extraordinary Women in Tech Global Conference on October 3rd and 4th, 2022, in San Francisco, California, providing a powerful forum to amplify women's voices in IT. Women from all over the world are invited to experience an unparalleled lineup of peer and mentor networking opportunities, career development coaching, and exclusive insights on the latest tech advancements across industries from an impressive roster of female leadership speakers from Meta, Google, Oracle, and more.

Media Contact

Anna Vander Wall, Avenue Code, 970-420-0474, avanderwall@avenuecode.com

SOURCE Extraordinary Women in Tech

Tue, 02 Aug 2022 05:23:00 -0500 en-US text/html https://finance.yahoo.com/news/extraordinary-women-tech-conference-announces-130000558.html
Killexams : To Pit or Not to Pit: How F1’s Red Bull Racing Makes Split-Second, Mid-Race Decisions
  • A partnership between Oracle and Red Bull Racing has pushed cloud computing into a central role in Formula 1 (F1) race preparation and race-day strategy.
  • Cloud computing has allowed Red Bull Racing to run billions of race simulations each weekend.
  • Future projects born from race-day analysis include designing a new F1 powertrain for 2026.

At a critical point in the Formula 1 Canadian Grand Prix race in June—with fan-favorite Max Verstappen’s Red Bull Racing car slightly leading Carlos Sainz Jr., who drives for Ferrari—Verstappen’s team had a key decision to make. Just eight laps in, the virtual safety car came out to slow the race cars down, leading to the pivotal question: to pit, or not to pit?

In Formula 1 races, it’s mandatory for drivers to take at least one pit stop. The real question is when to take it. If Red Bull pitted under the virtual safety car, it could reduce time lost during a stop. On the other hand, it would force the team to deliver up the lead, and keeping Verstappen out on the track could also introduce the risk of deteriorating tires later in the race.

To decide what to do, the team ran simulations. Plenty of them. And in real time.

“If we pit under the virtual [safety] car, we’d deliver up the lead, but the simulations were confident we would get the lead back again,” Will Courtenay, chief race strategist for Red Bull Racing, tells Popular Mechanics. “We took the pit stop, Sainz stayed out. Now we are 10 or so seconds behind, but then as the simulations correctly predicted, Sainz struggled on tires, and we got the lead back later in the race.” Verstappen won the Canadian Grand Prix on June 19, continuing his lead in the 2022 F1 standings, the same standings he dominated in 2021. (Teammate Sergio Pérez remains in third). Verstappen’s latest win, the Hungarian Grand Prix on July 31, was also thanks in part to some smart decision-making on which tires to choose.

Courtenay says the power of simulations, due to the new partnership with Oracle, has given the Red Bull team access to more data and better decision-making, both before and during a race. Red Bull went on a search for a cloud-based solution with a global reach, leading to Oracle joining the team in 2021. The partnership went so well that Oracle became a title partner in 2022. That continues to lead to beneficial results, both on the engineering side and in race strategy, according to Zoe Chilton, head of partnerships for Oracle Red Bull Racing (the full name Red Bull is currently competing under).

Every F1 team runs simulations. But Red Bull runs billions of them per weekend. Under F1’s budget cap, introduced in 2021, moving those simulations off-premise and into the cloud as teams traveled to 22 different countries not only saved Red Bull money it could be spending elsewhere, but sped up the process. “It is not just agility and efficiency,” Chilton tells Popular Mechanics. “By not running on-premise all week, it is a massive savings for us.”

“What we are trying to do is create a simulation of what a real race might look like,” Courtenay explains. “We feed in the model various factors—how tires perform, pace of all the cars, how long it takes to make a pit stop, a good or bad race start—and model as many aspects of the race as we possibly can.”

Then, the team tweaks a variable and runs the simulation again. And again. And again.

“Effectively, we end up doing this over the course of the weekend literally billions of times, generating billions of races and averaging results of all the simulations,” he says. Then, the team experiments with differing strategies. Once the race starts, the simulations don’t stop. The live simulations are where the value add has really come in, according to Courtenay. “Maybe suddenly you have a bad start and dropped six positions and now you’re in a completely different race scenario,” he says. “Our simulations have the capability of constantly updating at every overtake, a finish of a lap, updating predictions and recommendations based on how the race is unfolding. The live simulation is really existing in that situation.”

Sergio Pérez from Mexico, of Team Oracle Red Bull, on the track in Bahrain during Formula 1 pre-season testing, March 10, 2022.

picture allianceGetty Images

Take Miami as an example. A new track for the circuit in 2022, uncertainties about tire performance existed well before the race. Once the it started, the team quickly saw the tires were holding better than previously thought. With that data fed into the simulation, Courtenay says they were quickly able to pivot to a one-pit strategy.

“You haven’t got the time to sit down and have a good think,” he says. “What is the best thing for me right now? And I need the answer straightaway. The data quickly converged to a one-stop [strategy] and that gave us the confidence we could sit it out and go to a one-stop rather than having to panic. In a lot of uncertainty, it really helped us come to a good conclusion as quickly as we could.” On May 8, Verstappen won the Miami Grand Prix, and teammate Sergio Pérez came in fourth.

Moving to Oracle’s cloud-based system allowed Red Bull Racing to increase the number of simulations 25 times while accelerating speed 10 times over. “I get better results when I get them quicker,” Courtenay says. “When the safety car comes out, you need an answer straightaway. You can’t wait 30 seconds.”

Come 2026, F1 moves into the next stage of regulations, and Red Bull has embarked on the process of building its own powertrains. Chilton says they’re starting from scratch, so when thinking of engineering engine parts or car design, having the power of continuous simulation is paramount. “It is a very bespoke product for quite the niche,” she says. “If we use Oracle’s cloud infrastructure, we can test what kind of hardware and software run best. We can sample a lot of things. As we go forward, we are hoping to use more cloud resources for more fundamental business processes as well as the strategy simulations.”

The unique demands of F1 have benefits for others. Chilton says pushing the boundaries of what companies can do sets the team up for future success and can help a business explore new strategies.

“Oracle Red Bull Racing is our most demanding customer in terms of short-term demand,” Taylor Newill, senior director of motorsports engineering at Oracle, tells Popular Mechanics. “It has worked out really well and the infrastructure that Will and his team are driving us to build can service customers in financial and healthcare better as well.”

Max Verstappen of the Netherlands and Red Bull Racing waves to the fans during F1 Live London at Trafalgar Square on July 12, 2017 in London, England.

Charles CoatesGetty Images

Already, the hardware Oracle used to speed up the race simulations has successfully translated to health sciences customers that require faster data.

Oracle projects don’t stop at simulations and engineering. From small tasks, such as Oracle’s image-recognition system—with machine learning classifying images of rival cars to free up a staff member for more important work—to using AI technology to support the young driver training program, expect the reliance on computing speed to reach every aspect of Red Bull Racing’s business strategy.

Courtenay, though, remains focused on his task: race strategy. He’s already got plans for taking Oracle’s simulations up a notch. “We want to add more complexity, so we get a more accurate model of the race,” Courtenay says. And he needs it all right now. Life in F1 demands it.

Tim Newcomb is a journalist based in the Pacific Northwest.

This content is created and maintained by a third party, and imported onto this page to help users provide their email addresses. You may be able to find more information about this and similar content at piano.io

Fri, 05 Aug 2022 19:55:00 -0500 Tim Newcomb en-US text/html https://www.popularmechanics.com/cars/a40747762/f1-cloud-computing-oracle-red-bull-racing/
1Z0-997-20 exam dump and training guide direct download
Training Exams List