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Infosys availability
Killexams : Infosys availability - BingNews http://www.bing.com:80/news/search?q=Infosys+availability&cc=us&format=RSS Search results Killexams : Infosys availability - BingNews http://www.bing.com:80/news/search?q=Infosys+availability&cc=us&format=RSS https://killexams.com/exam_list/Infosys Killexams : Here's How Much $100 Invested In Infosys 10 Years Ago Would Be Worth Today

Infosys INFY has outperformed the market over the past 10 years by 2.89% on an annualized basis producing an average annual return of 14.19%. Currently, Infosys has a market capitalization of $81.82 billion.

Buying $100 In INFY: If an investor had bought $100 of INFY stock 10 years ago, it would be worth $383.77 today based on a price of $19.51 for INFY at the time of writing.

Infosys's Performance Over Last 10 Years

Finally -- what's the point of all this? The key insight to take from this article is to note how much of a difference compounded returns can make in your cash growth over a period of time.

This article was generated by Benzinga's automated content engine and reviewed by an editor.

© 2022 Benzinga.com. Benzinga does not provide investment advice. All rights reserved.

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Mon, 01 Aug 2022 06:53:00 -0500 text/html https://www.benzinga.com/news/earnings/22/08/28296050/heres-how-much-100-invested-in-infosys-10-years-ago-would-be-worth-today
Killexams : What's In The Offing For Infosys (INFY) This Earnings Season?

Infosys Limited INFY is scheduled to report first-quarter fiscal 2023 results on Jul 24.

Over the trailing four quarters, the India-based IT services provider's earnings beat the Zacks Consensus Estimate once, met the same on two occasions and missed it once, the average beat being 0.2%.

In the last reported quarter, Infosys' adjusted earnings of 18 cents per share missed the Zacks Consensus Estimate by a penny but increased 9.2% year over year. Revenues of $4.28 billion jumped 18.5% year over year but fell short of the consensus mark of $4.30 billion.

The Zacks Consensus Estimate for fiscal first-quarter revenues is pegged at $4.38 billion, suggesting a 15.8% increase from the year-ago period. The consensus mark for earnings stands at 18 cents per share, 5.9% higher than the year-ago quarter.

Let's see how things have shaped up before this announcement.

Factors to Consider

Infosys' first-quarter performance is likely to have benefited from the stellar demand for the cloud, data-analytics solutions and services, the Internet of Things and security products and solutions. Also, higher investments by clients in digital transformation, AI and automation are anticipated to have been conducive to its fiscal first-quarter performance.

Continued large deal wins and growth in digital services are likely to have driven INFY's quarterly revenues during the to-be-reported quarter. The company's efforts to reinforce digital transformation capabilities for expanding and solidifying its position in the highly competitive environment are a steady tailwind.

Infosys added 110 clients in the fourth quarter of fiscal 2022. It also signed multiple large deals of a contract value worth $2.3 billion.

The growing traction of its solutions and services in the commercial and corporate banks, consumer, cost and payments, wealth management and custody and mortgage portfolios of its business is likely to have been an upside during the quarter under review.

However, the Indian software giant's decision to move its business out of Russia following Moscow's war against Ukraine is likely to have somewhat negatively impacted the top line in the first quarter. Also, inflationary pressures and possible global slowdown concerns are anticipated to have led many organizations push their large IT investments.

Additionally, inflated investments in sales and localization and rising costs to grab large deals might have hurt Infosys' bottom line during the quarter under discussion.

What Our Model Says

Our proven model does not conclusively predict an earnings beat for INFY this season. The combination of a positive Earnings ESP and a Zacks Rank #1 (Strong Buy), 2 (Buy) or 3 (Hold) increases the chances of an earnings beat. However, that's not the case here.

Infosys carries a Zacks Rank #4 (Sell) and has an Earnings ESP of 0.00%.

Stocks With the Favorable Combination

Per our model, Valero Energy VLO, Merck & Co. MRK and Apple AAPL have the right combination of elements to post an earnings beat in their upcoming releases.

Valero sports a Zacks Rank #1 and has an Earnings ESP of +10.22%. The company is scheduled to report second-quarter 2022 results on Jul 28. Valero's earnings surpassed the Zacks Consensus Estimate in the trailing four quarters, the average surprise being 84.3%.

The Zacks Consensus Estimate for VLO's second-quarter earnings is pegged at $8.78 per share, indicating a sharp improvement from the year-ago quarter's earnings of 48 cents per share. The consensus mark for revenues stands at $39.7 billion, suggesting a year-over-year increase of 42.9%.

Merck currently sports a Zacks Rank #1 and has an Earnings ESP of +7.18%. The company is slated to report its second-quarter 2022 results on Jul 28. Merck's earnings beat the Zacks Consensus Estimate thrice in the preceding four quarters while missing the same on one occasion, the average surprise being 13.4%.

The Zacks Consensus Estimate for Merck's second-quarter earnings stands at $1.77 per share, implying a year-over-year increase of 35.1%. MRK is estimated to report revenues of $13.9 billion, which suggests growth of 21.5% from the year-ago quarter.

Apple is slated to report third-quarter fiscal 2022 results on Jul 28. The company carries a Zacks Rank #3 and has an Earnings ESP of +0.88% at present. Apple's earnings beat the Zacks Consensus Estimate thrice in the preceding four quarters while meeting the same on one occasion, the average surprise being 11.9%.

The Zacks Consensus Estimate for quarterly earnings is pegged at $1.13 per share, suggesting a year-over-year decline of 13.1%. AAPL's quarterly revenues are estimated to increase 0.5% year over year to $81.9 billion.
 
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Wed, 20 Jul 2022 02:51:00 -0500 text/html https://www.benzinga.com/22/07/28131554/whats-in-the-offing-for-infosys-infy-this-earnings-season
Killexams : Google Cloud Platform Deploys Arm – Here’s What You Should Know

Google Cloud Platform (GCP) announced the coming availability of its Arm-based instance, the Tau T2A, last week (currently available in preview) to address the ever-expanding needs of customers developing and deploying scale-out, cloud-native workloads. What does this announcement mean for enterprise IT? Does landing this final major cloud player fully validate Arm in the enterprise? And what motivated Google to jump on the Arm bandwagon? We'll address this a little more in the following paragraphs.

What was announced

The T2A virtual machine (VM) is part of the GCP Tau scale-out instance family. Tau is targeted at those cloud-native applications that run containerized or in VMs that don't require extreme compute resources. The Tau family was deployed initially with AMD EPYC (T2D) with fixed configurations to offer this instance type optimized for cost and scale-out performance.

The Tau T2A VM is based on Ampere Computing’s Altra CPU. It’s important to note that Azure announced Ampere and instances are GA at Oracle Cloud Infrastructure, as well as several Chinese clouds (including TikTok parent, ByteDance).

To motivate developers and customers, GCP offers a free 8-core, 32G RAM instance of T2A through general availability.

How Google is positioning T2A

One of the things I find with Arm announcements is that sometimes the "why would I use this?' question isn't fully answered. It's almost as if an assumption is made that enterprise IT professionals would fully understand the price-performance benefits of Arm and workload affinity.

Through the briefings Moor Insights & Strategy Patrick Moorhead and I received, as well as the various public statements from Google, it is refreshing to see the company is helping guide its customers. As mentioned, T2A is a VM targeting those scale-out workloads that don't require maximum compute resources at the individual instance level. Unsurprisingly, one of the supporting blogs from Google discusses optimizations for the Google Kubernetes Engine (GKE), Google's container environment.

A valuable capability of GKE is its multi-architecture support. So, containerized workloads can run in an x86 and Arm environment simultaneously. While this has many practical benefits, it also makes it easier for IT organizations to dip their collective toes in the “Arm” water, so to speak. It is capabilities such as this (not unique to GCP) that allow for organizations to deploy on Arm seamlessly.

It should be noted that T2A also runs the Google Container-optimized OS. So, organizations utilizing the popular Docker containers can expect full support.

Google has also enabled its Batch and Dataflow cloud services to run on T2A. These two services that target batch processing and streaming analytics respectively benefit from the Tau family's scale-out nature and T2A in particular.

While Google provides good guidance for its customers considering exploring or deploying on Arm, the use of T2A can be far broader. Independent of Google, Ampere has developed a robust ecosystem of partners, spanning the operating system to the workload. Functions like serverless caching via Momento, SLURM workload scheduling via SchedMD, and HPC through Rescale – are all optimized workloads for Ampere. And there are many more.

A few more details on T2A

Google is careful in how it positions its VM instances. When the company released its Tau VM family last year, it was very clear in positioning these as cost-effective, scale-out VMs. As one would expect with “cost-effective,” some options customers may prefer are lacking, such as local SSD support and higher bandwidth networking (32G supported in T2A v. 100G in other instances). Further, once a customer is locked into a T2A VM size (vCPU and RAM), they cannot dynamically add more resources.

Given the workloads targeted, the above makes sense, as customers look to distribute applications across many "good enough" performing VMs that don’t require maximum network throughput.

I like that GCP drives all of its specialized value into the Tau family, including T2A. The security measures, optimizations around memory (NUMA), network optimizations, etc.. that GCP has developed are all lit up in T2A. This level of support should assures customers utilizing T2A that these instances enjoy the same level of support as the highest performing compute engines.

Has Arm arrived in the enterprise?

The quick and simple answer is yes, though not for every workload. GCP announcing Arm-based instances rounds out support from all the major CSPs. This widespread support hasn't happened because Arm is cool or trendy. Nor has it happened as an exercise to drive better pricing from the x86 players. Arm is being deployed because CSPs can deliver equal or better performance for specific workloads at a lower cost and power envelope. Period. This is basic economics.

While Arm is not going to replace x86 to run virtualized infrastructure on VMware anytime soon, there are still use cases where Arm is a good fit. In its blog promoting T2A, one of GCP's reference customers is Harvard University. The school runs several compute-intensive workloads on SLURM VirtualFlow, and T2A allows it to run tens of thousands of VMs in parallel, reducing compute time significantly. But here’s the key to what Harvard had to say – the migration to T2A was done with minimal effort. Such is the beauty of cloud-native development. The cost and time savings will be immediately recognized.

I like this Harvard reference because it reminds us that Arm is not just for the digitally born companies that have never had an on-premises datacenter. It's for any company embarking on a digital transformation or modernization project.

Further proof of Arm's move into the datacenter can be seen in HPE's announcement of the upcoming ProLiant RL300 Gen11 server based on Ampere's Altra CPU. This is the first mainstream server that HPE has announced ahead of its Gen11 launch, and I expect the market will see competitors roll out its servers in time.

Is T2A just a competitive response from Google?

I don’t believe that Google is interested in investing in and rolling out an Arm-based instance to be like every other cloud provider. GCP is run by many intelligent people who firmly understand its customers' wants and needs.

As a company, Google has deep roots in silicon design, development, and optimizations. It's no secret that the company works with CPU vendors to deliver Google compute-optimized platforms. I think GCP has done its due diligence in ensuring the Ampere CPU could and would meet its particular and the needs of its customers.

I believe my only question is around the longer-term strategy for Google and Arm. There are two camps in the CSP space: those that design its silicon (i.e., AWS Graviton) and those that deploy Ampere. Given Google's history in silicon development, could we see a custom chip in the future? It is a scenario that is entirely plausible.

Final thoughts

Google rounds out support for Arm from the major CSPs with its Tau T2A VM offering, based on Ampere Computing’s Altra CPU. While the company is last to market in this regard, it has done a thorough job of positioning Arm relative to x86 and target workloads.

I believe this is just the beginning for Arm at GCP and suspect the company will eventually roll Arm offerings into other compute engine offerings over time. But I think it will do this in a very measured way, looking for areas where Arm can offer a differentiated experience for customers.

It's a good time to be a proponent of Arm. And a better day to be an investor of Ampere Computing. There is no doubt that Arm is here to stay. Not as a cheap alternative to x86, but as an architecture that can be optimized for many workloads, with the ability to lead in raw performance, price-performance, and performance-per-watt, at a time when each of these measures are so critical.

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.

Tue, 26 Jul 2022 04:38:00 -0500 Matt Kimball en text/html https://www.forbes.com/sites/moorinsights/2022/07/26/google-cloud-platform-deploys-arm--heres-what-you-should-know/
Killexams : Behind tech companies’ Tier-II foray

Last month, Tata Consultancy Services (TCS) and Infosys, India's top two IT services companies, announced new centres in tier-II cities such as Coimbatore, Guwahati and Nagpur. It’s not new for IT services companies to look beyond the traditional metro hubs. But so far, such small-town centres had come through nudges by state governments desparate to take development beyond the metros. Now, a large push is coming from employees themselves.

The past two years have demonstrated that it’s possible to meet work standards sought by global clients even with staff working from home. During this phase, a significant number of employees went back to their hometowns, and are open to continue exploring such options in the post-pandemic world.

Meanwhile, amid a supply crunch, the balance of power has tilted towards IT employees. During the pandemic, many large organizations embarked on large digital transformation projects, adding revenues to IT services companies. Russia's invasion of Ukraine sent more work their way. “IT services industry in India is in the early phase of a multi-year technology upcycle, with spending on digital transformation earlier planned for the next decade now being compressed into a 3-5 year period," ICICI Securities wrote in an April 2022 research report.

This change in balance of power is most evident in attrition numbers. TCS, whose attrition ranged around 8-11% through the pandemic, reported attrition of 15.3%, 17.4% and 19.7% in the last three quarters. At Infosys, attrition is now repeatedly crossing 20%.

Small-town preference

Attrition is expected to moderate in the coming quarters. TCS and Infosys have added about 155,000 and 85,000 employees, respectively, since mid-2019. TCS's net headcount increased by 35,000 in the March quarter alone, the highest in its history. Intake of freshers in large numbers tends to bring down attrition.

What the numbers may not reflect is the movement of experienced employees, who are key to executing large projects. Setting up more tier-II centres could deliver companies another lever to retain them. According to a survey by BCG and Nasscom, 70% of IT sector employees prefer hybrid work—a combination of remote and onsite. Given that many went back to hometowns, this also translated to a preference for smaller cities. According to this report, about 65% of IT sector employees want to move out of metros. Tier-II centres would bring the office closer to some employees who moved back to their hometowns.

Open options

However, this does not mean that IT companies will scale back larger centres, which have served multiple purposes for them. These centres made it easier for companies to deal with the local administration for infrastructure and other approvals. It gave them economies of scale needed to provide support facilities such as transportation and food. It boosted client confidence, especially in the early days. In the Tholons Global Innovation Index, 2021, the metros lead Indian cities, though tier-II centres like Jaipur and Ahmedabad now also feature in the top 100.

The urgency to retain employees outweighs metro leanings. According to ICICI Securities, tier-I IT companies have added 230,000 employees in the last five quarters, without a corresponding increase in seating capacity. This gives them the headroom to expand in smaller cities. Employees want to shift there for multiple reasons, key among them being the lower cost of living.

Talent advantage

According to Zinnov's Emerging Cities Analysis published last year, infrastructure can be cheaper by 50% in smaller cities than in metros. The quality of life is also improving. Five of the top 10 cities with population above 1 million in the government’s ease of living index for 2020 were tier-II cities ranging from Ahmedabad to Indore. While infrastructure is stretched in some larger cities, it is improving in smaller ones.

For companies, smaller cities also provide options to scale up. According to Zinnov, there is a pool of 2.3 million potential employees available to the technology sector in the top 15 emerging cities. Some cities also have adjacencies that feed into this ecosystem. For example, Coimbatore is assisted by “the highest availability of engineering colleges", according to Zinnov. The tier-II expansion of IT firms will enlarge the self-perpetuating cycle of college, jobs and livability.

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Tue, 12 Jul 2022 00:59:00 -0500 en text/html https://www.livemint.com/companies/news/why-infosys-and-tcs-want-to-expand-in-tier-ii-cities-11657538316464.html
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 : The Rise Of Free-Agents: 1.5 Crore Indian Freelancers Working With IT Firms As Demand For Gig Workers Increase
The Rise Of Free-Agents: 1.5 Crore Indian Freelancers Working With IT Firms As Demand For Gig Workers Increase
The Rise Of Free-Agents: 1.5 Crore Indian Freelancers Working With IT Firms As Demand For Gig Workers Increase

IT companies in India are increasing their workforce by hiring freelancers, project-based workers, independent contractors, and part-time hires in a bid to tackle  high attrition levels.

Dubbed the ‘gig workforce’, these workers possess specialised technical skills to complete pending digital projects and fill new roles.

Filling up attrition-led void

TCS, Infosys Ltd., and Wipro announced high attrition rates In their June quarterly earnings calls.

TCS had a 19.7% attrition rate in the past 12 months, while it stood at 23.3% for Wipro during the quarter.

HCL Technologies’ attrition rate climbed to 23.8% in the June quarter from 21.9% in the March quarter. 

How top IT firms are adapting

TCS calls its gig workforce the “talent cloud”, referring to a virtual talent pool available for any project and locations to meet client demand and project needs.

Infosys expects more gig jobs to emerge in areas such as Artificial Intelligence (AI), data analytics, product engineering, cloud computing and UI/UX design.

Wipro’s TopCoder, a platform marketplace with 1.5 million freelancing coders, recorded a 60% sequential rise in registrations since March 2020.

Tech Mahindra hires gig workers for niche skills.

To that end it has built an external marketplace called BeGig that helps other employers hire freelance workforce.

On an upwards trajectory

The company’s global chief people officer Harshvendra Soin said that this has helped create a robust talent pipeline and increased diversity among the workforce.

India currently has more than 15 million freelance workers deployed on tech projects, according to a June 2022 Assocham report.

The domestic gig economy is forecasted to grow 17% to $455 billion by 2024.

Another estimate by India Brand Equity Foundation (IBEF) projected the country to have 350 million gig jobs by 2025.

No more prejudices 

Kamal Karanth, co-founder of Xpheno, a specialised staffing solutions firm, remarked that the growth of gig workers’ consumption by tech enterprises has seen sequential growth ranging from 2% to 19% depending on the nature of talent.

The long-held scepticism surrounding a gig worker’s efficiency and dependability has changed by the pandemic-induced remote work.

Over 50% of companies were hiring gig workers when Nasscom and Aon India Consulting issued their December 2020 report.

The future

The trend for the next five years is upward looking even though gig headcount is superseded by total headcount, staying in only single digits.

Gig workforce is predicted by Nasscom to be a key component of the blended workforce model of the future.

This will be further accelerated by a greater evolution of hybrid work models and favourable government policies to support India’s knowledge economy.

This will lead to availability of a wider talent pool and job creation.

Sat, 06 Aug 2022 17:45:00 -0500 en-US text/html https://trak.in/tags/business/2022/08/07/the-rise-of-free-agents-1-5-crore-indian-freelancers-working-with-it-firms-as-demand-for-gig-workers-increase/
Killexams : Infosys to acquire tech and consulting firm, BASE life science, collaborates with TK Elevator

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Tue, 12 Jul 2022 23:15:00 -0500 en text/html https://seekingalpha.com/news/3856450-infosys-to-acquire-tech-and-consulting-firm-base-life-science-collaborates-with-tk-elevator
Killexams : Lessons from Tech Firms’ internal skill-building platforms

Recently, Schneider Electric announced several updates to its professional education platform, Schneider Electric University. The updates included optimising cooling layouts, fundamental cabling strategies, and physical security of the data centres along with optimising data centre designs to drive resilience, energy efficiency and sustainability. The aim was to address the data centre talent shortage that is gradually getting bigger as cloud adoption and digitisation gathers speed. 

These days, organisations worldwide are taking it upon themselves to train the talent that drives their businesses, through dedicated mentorship or skill-building platforms. The companies are developing in-house training programmes to upskill and re-skill their workforce. 

With ever-evolving technologies and changing business models, companies require different work skills to grow. According to PwC’s 23rd Annual Global CEO Survey, 79% CEOs are panic about the availability of key digital skills. A McKinsey Global Survey on the future workforce reveals that nine out of ten executives and managers feel that their organisations either face a skill gap or expect it to develop in the next five years. Added to this is the stark reality of The (ongoing) Great Resignation. 

The Great Resignation has ignited fierce competition among companies to retain talent. On the one hand, employees are reassessing their work-life aspirations and quitting jobs to start businesses, opting for sabbaticals or switching over to jobs that provide a better work-life balance, on the other, employers are trying hard to attract and retain talent by offering higher compensation and better positions. 

Compensation, job roles and positions are undoubtedly important to attract and retain talent. However, when the trends of re-shuffling, reassessing and re-inventing are widespread among employees, providing adequate career advancement opportunities seems wise. Upskilling programs benefit organisations by instilling a culture of continuous learning and generating cost savings — for a company it is relatively expensive to replace an employee — and also aligns with individuals’ career aspirations. According to a 2020 Gallup research, lack of career growth opportunities is the top reason people switch jobs.

Not just Schneider Electric, several other companies have such dedicated initiatives for internal upskilling or reskilling of their workforce based on industry-specific or organisation-specific needs. 

Many companies bypass academic qualifications to hire individuals based on their skills and train them as per the organisational needs. Through these initiatives, organisations try to instil a culture of continued learning.

Walmart’s One Global Walmart Academy

Recently, Walmart launched the One Global Walmart Academy to provide digital and in-person on-specific retail training, well-being courses and leadership training to its associates. The Walmart Academy has been in place since 2016. Through the new initiative, Walmart aims to bring together all training and development programmes to create one of the largest learning ecosystems in the world. The focus will be on developing on-the-job skills, growing future skills for associates and building leadership skills for managers.

Deloitte University

In 2011, Deloitte launched the Deloitte University (DU) to nurture future leaders who can impact various communities worldwide. Most workers attend DU within the first year of employment. At DU, the focus is on experiential learning. As a result, attendees gain first-hand experience on how emerging technologies change the way we work and live. 

Apart from DU, there are other internal programs for upskilling. For example, the Emerging Leaders Development Program (ELDP) is a multidisciplinary professional development program designed for managers from the underrepresented community to help them prepare for the next stage in their careers. Through various skill-building sessions, self-assessments, 360-degree feedback, and one-on-one mentorship, ELDP enables participants to explore effective development strategies, risk-taking, building professional networks, and dealing effectively with unconscious bias in corporate America.

Tech Mahindra’s Uaas (Upskilling-as-a-service)

Tech Mahindra has the Uaas (Upskilling-as-a-service) platform that provides associates interactive, on-demand personalised upskilling. Uaas is an AI-based platform that acts as a skill marketplace. The platform facilitates learning new skills and provides a practice environment, assignments and an opportunity to gain hands-on experience by working on real projects. The skill marketplace is helping Tech Mahindra and other organisations groom new-age talent to become future-ready business associates. 

Infosys Wingspan

Wingspan is a platform developed by Infosys to help organisations accelerate their talent transformation journey. It is a cloud-first and mobile-first solution that can be accessed anytime, anywhere and on any device. The platform facilitates learning based on interests, skill sets and roles. Voice-enabled learning assistance guides learners. There are a variety of learning modules, some of which are instructor-led, while others are either assisted learning or self-learning sessions. The platform helps human resources nurture talent by providing a continuous learning environment to acquire the right and relevant skills.

PWC’s ProEdge

ProEdge is an end-to-end upskilling and citizen-led innovation platform that helps businesses identify and close skill gaps through customised learning pathways. It offers scenario-based, function-specific learning that’s scalable, repeatable and adaptive. With ProEdge, PwC has been able to upskill over 55,000 employees successfully. In the first year itself, PWC saw improved operating margins and enhanced overall employee experience across the entire organisation. Other organisations can also use ProEdge to build a future-ready workforce. 

Amazon

At Amazon, the workforce is exposed to various upskilling programs like Career Choice, Associate2Tech and the Amazon Apprenticeship. Under the Associate2Tech programme, associates get paid study time during the week to prepare for an entry-level computer service technician exam that is industry recognized. As a part of the Career Choice program, employees are trained for in-demand job roles that pay better than their existing job roles. 

A plethora of organisations have had such dedicated initiatives in place for quite some time, but these gained popularity only around the Covid-19-driven digital transformation. The pandemic and the consequent resignation compelled several organisations to rethink how they conducted their businesses. As companies transform themselves digitally to stay resilient in uncertain times and keep up with technological advancement, job roles continue to evolve. Thus the skills needed to thrive in the age of rapid digital transformation are changing, necessitating changes in how people learn them.  

Mon, 01 Aug 2022 23:32:00 -0500 en-US text/html https://analyticsindiamag.com/dedicated-mentorship-or-skill-building-platforms/
Killexams : Infosys Surprise Outlook Hike Fails to Allay Tech Demand Fears

(Bloomberg) -- Infosys Ltd. slid as much as 1.9% after a surprise hike in its annual revenue outlook failed to assuage investors concerned about worsening margins and tepid global IT spending.

Most Read from Bloomberg

Revenue will grow 14% to 16% in the fiscal year through March 2023, India’s No. 2 software services exporter said in a statement Sunday. That’s up from 13% to 15% it projected in April, but still lags the average analysts’ estimate for 17%.

India’s $227 billion IT industry, led by Tata Consultancy Services Ltd. and Infosys, is bracing for an economic slowdown with some analysts predicting a global recession. On Sunday, Infosys executives sought to temper concerns about the prospects for IT budgets, saying their order book was as strong as it had been for much of 2022.

“The pipeline that we have today for our large deals is larger than what we had three or six months ago,” Chief Executive Officer Salil Parekh told a news conference Sunday. “Having said that, we of course, recognize what is going on in the global environment.”

For the April to June quarter, Infosys said revenue rose 24% from a year ago to 344.7 billion rupees ($4.3 billion), beating estimates of 340.09 billion rupees. Revenue from the financial services segment rose 15% from a year earlier to 105.6 billion rupees, although it trailed estimates of 106.87 billion rupees.

The company’s net profit rose 3.1% to 53.6 billion rupees for the first quarter to June, despite expenses such as wage costs. Analysts estimated 56.7 billion rupees. Bigger rival TCS also reported net income that missed analysts’ projections.

Finance Chief Nilanjan Roy warned that the company making “competitive compensation revisions” to reduce attrition levels will impact margins in the immediate term.

Rising competition from global IT giants such as Accenture Plc and International Business Machines Corp., and an acute tech talent crunch have also pressured margins of India’s software services companies.

Technology spending may also be hurt by customers bringing employees back to workplaces, dampening the demand for remote services that surged during the early part of the Covid-19 pandemic. Russia’s attack on Ukraine is set to slow new orders especially from Europe, which accounts for a quarter of Infosys’s revenue.

Other Key Highlights:

  • Infosys retained FY23 operating margin outlook at 21% to 23%, estimate 22.2%

  • Total costs were at 276.1 billion rupees, up 29% y/y

  • Operating margin 20% vs. 23.7% y/y, estimate 21.4%

  • First quarter large deal total contract valued at $1.7 billion

Most Read from Bloomberg Businessweek

©2022 Bloomberg L.P.

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Killexams : Business online: Why India could single-handedly shape the future of e-commerce this summer
Pictorial representation of ONDC. Photo: ondc.org

This month, retail giants and government regulators around the world will be watching closely as India rolls out the Open Network for Digital Commerce (ONDC) in 100 major cities.

ONDC is a government-backed initiative that was conceived by non-profit think tanks. The project, championed by Indian billionaire and Infosys founder Nandan Nilekani, aims to create a level playing field in online commerce by putting tens of millions of kiranas (Indian family businesses) on an even footing with online giants such as AmazonGoogle, and India’s Flipkart(a Walmart subsidiary). According to Reuters, Amazon and Flipkart currently control more than 60% of the Indian e-commerce market.

ONDC caps referral commissions for platforms that send shoppers to a seller at three percent–a far cry from the roughly 30% cut that third-party sellers lose on the existing major e-commerce platforms.

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Shoppers will find themselves in an unprecedented situation: Amazon will be bidding for business on the Flipkart application and vice versa. Searches on Amazon.com may result in eBay listings, illustrating how fluid ONDC may make online commerce.

Nandan Nilekani, co-founder and chairman of Infosys, poses for a photograph in Bengaluru, India, on Wednesday, Oct. 24, 2019. MUST CREDIT: Bloomberg photo by Samyukta Lakshmi

“We have a chance to start over and remake the digital world to be more fair and transparent for all participants. With ONDC, we hope not only to create a level playing field for India and all the businesses operating there but also provide a glimpse for the whole world of how open commerce can drive positive non-zero-sum outcomes for business and society,” Nilekani said in an email exchange.

Even mid-sized firms are clamoring for ONDC. The program effectively creates an open order book for purchase requests that any store on the network can respond to.

ONDC envisions itself as creating a digital foundation for commerce that incorporates inventory, logistics, dispute resolution, and more. After a successful launch in five Indian cities, Delhi, Bengaluru, Bhopal, Shillong, and Coimbatore a nationwide launch is in the plans according to Union Minister Piyush Goyal.

Piyush Goyal, India’s minister of railways, commerce and industry, speaks during the India Energy Forum by Ceraweek in New Delhi, India, on Oct. 15, 2019. MUST CREDIT: Bloomberg photo by Anindito Mukherjee

If it works as expected, ONDC could fundamentally change the game for e-commerce, herald a future of open competition with less dominance by vertically integrated platforms, and show U.S. regulators ways to take on their own monopolies.

An open market

Profile picture of ONDC on Twitter @ONDC

ONDC is not an application, an intermediary, or a specific piece of software. Rather, ONDC is a set of specifications designed to foster open interchange and connections between shoppers, technology platforms, and retailers.

At its core, ONDC is an open network underpinned by a set of open standards similar to India’s Universal Payments Interface. In fact, the underlying open standards of ONDC are an adapted version of the Beckn Protocol, a global open source standard from India that can be used even beyond retail commerce for sectors such as mobility and health, the Beckn Foundation’s CEO and cofounder Sujith Nair, in an email exchange.

Open standards are the hidden foundation of the U.S. economic and technological infrastructure. Everything from shipping containers to database query languages relies on open standards. Unlike closed standards, open standards are both transparent and free for anyone to adopt.

Open standards underpin open networks such as the internet. A core set of technology standards enables interconnection between numerous types of systems. Effective open networks and standards foster competition and eliminate friction and barriers to entry.

According to Nilekani, ONDC aims to democratize digital commerce, replacing a platform-centric model (where the buyer and seller must use the same platform or application in order to transact) with an open network that allows–and even requires–cross-platform and cross-application interaction and commerce.  ONDC provides open specifications and open network protocols that all players in a market can use to connect and share information.

Currently, e-commerce in the United States, Europe, and India makes platforms the arbiters and intermediaries. To compare prices or offers, an online shopper must hop from one platform to the other, creating difficulties in comparing similar products by vendor prices, shipping costs, taxes, and more.

While shopping search engines such as Google Shopping do offer the ability to compare prices among online stores, they mainly confine their searches to larger e-commerce companies with the budgets and technical know-how to list products and manage complex data feeds from inventory systems.

Because ONDC functions as a set of standards, it will allow consumers to pick one of many platforms for shopping.  Each platform will receive the same product, pricing, and availability information, based on the same set of standards. Your corner kirana owner will need to manage only one tool in order to provide information to many platforms. The thinking is that this will smoothly bring kiranas into the digital world without forcing shopkeepers to become digital mavens.

ONDC may also unlock the ultimate advantage for kirana businesses: proximity. As Amazon races toward same-day delivery and venture capitalists continue to bet big on short-window-delivery startups that promise to deliver in an hour or less after an order’s placement, India’s local merchants already have “less-than-an-hour” commerce solved by virtue of their location down the street from a buyer.

India is a natural laboratory in which to test out the concept. It has one of the highest digital finance participation rates in the world at over 80%, according to Nilekani. The Indian Government is pursuing an aggressive digitization policy. ONDC aims to have 25% of all internal Indian commerce occur online within two years. That’s triple the current online penetration rate of eight percent of internal commerce.

ONDC may provide a smooth entry for kiranas, but ultimately all players will benefit. Homegrown e-commerce competitors to giants Flipkart and Amazon, such as SnapDeal, who wish to compete on user experience and price on a level playing field, are signing up for ONDC. Google too has indicated interest. Indian technology companies that provide e-commerce services and capabilities to medium-sized businesses see ONDC as a potential boon to their own operations.

Reducing barriers to entry

There are challenges and risks for ONDC. Even if it succeeds, its effect may not match its intent. Bringing the tens of millions of existing kiranas onto the platform will require a massive, well-funded adoption campaign. Amazon and Flipkart will continue to benefit from economies of scale that enable them to negotiate lower prices. Any move to restrict commerce that results in higher prices could spark consumer backlash–and the large platforms may end up being the ones that benefit the most from ONDC.

In the case of India’s Unified Payment Services (UPI), which was designed to provide an open standard for payments, Google Pay and Walmart’s PhonePe have grabbed a dominant share of transactions. The government is looking at mechanisms by which to generate more competition, but this will be challenging without directly restricting user behaviors.

However, the combination of ONDC and UPI could reduce barriers to entry. By open-sourcing India’s commercial underpinning, the two could set the stage for more competition by allowing new entrants to challenge incumbents with greater ease.

For retailers and governments around the world, ONDC provides a glimpse of what open retail might look like in practice. Ultimately, everyone–shoppers, merchants, and even giant platforms–would benefit from turbocharged e-commerce adoption and the creation of a larger global economic pie.

(Reprinted with permission)

(This article first appeared in Fortune.com August 2, 2022)

Wed, 03 Aug 2022 01:14:00 -0500 Vivek Wadhwa, Alex Salkever, Ismail Amla en-US text/html https://www.newsindiatimes.com/business-online-why-india-could-single-handedly-shape-the-future-of-e-commerce-this-summer/
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