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Accessment: IBM Tivoli Endpoint Manager V8.2 Implementation
IBM Implementation plan
Killexams : IBM Implementation plan - BingNews https://killexams.com/pass4sure/exam-detail/A2010-577 Search results Killexams : IBM Implementation plan - BingNews https://killexams.com/pass4sure/exam-detail/A2010-577 https://killexams.com/exam_list/IBM Killexams : FG, IBM Sign MoU for Digital Skill Development

Emma Okonji

The federal government through the Ministry of Communications and Digital Economy, has signed a memorandum of understanding (MoU) with Tech giant, International Business Machines (IBM) West Africa.

The deal is for partnership and collaboration in the area of digital skills development in Nigeria.

The Minister of Communications and Digital Economy, Dr. Isa Pantami, who signed on behalf of the federal government, said the partnership would provide impetus to the digital, innovation and entrepreneurship skills of the economic development plan of President Muhammadu Buhari.

He described the partnership as a quantum leap in the digital economy strategy of the ministry. 

The MoU, which was signed in Abuja recently, is scheduled to take off in February 2020.

The MoU provides a platform to empower Nigerian youths with digital literacy skills, enable innovation, design and development of indigenous solutions, self -sufficiency and make Nigeria a hub for critical skills for Africa and the world at large. 

Under the partnership, and in line with the Digital Literacy initiative and drive of the Minister, IBM would through its Digital Nation Africa Initiative, provide free training to Nigerians for a period of 12 to 16 weeks, in diverse areas of Information Technology (IT). 

The MoU seeks to create awareness and support in the development and use of digital tools and applications to Strengthen the delivery of government services; create a pool of Nigerians with digital skills validated by globally recognised certifications; bridge the gap between the academia and the industry through sensitisation on digital tools and skills; and lower the access barrier to digital tools for the citizens.

Addressing IBM representatives led by the Country General Manager, Pantami expressed satisfaction at the organisation’s response to the digital economy policy by, sufficiently keying in, to bridge the divide between the academia and the industry, education and entrepreneurship. 

Pantami noted that, “to achieve a digital economy, digital skills are central, and this has been adequately captured in the second pillar of the Digital Economy Strategy Policy Document as approved and launched by the President on the 28th of November 2019.”

The minister further disclosed that the importance of broadband in the implementation of a digital economy is the life line to its success and this again has been reflected in the seventh pillar of the strategy document. 

“The importance of broadband penetration in achieving a digital economy has given rise to the National Broadband Committee to ensure that we thoroughly address the impediments to broadband penetration and achieving a Digital Economy,” Pantami said.

The minister urged institutions of learning to provide priority to skills, especially digital skills over paper qualifications. 

According to him, “Digital skills are more relevant in today’s world of emerging technologies, therefore we must encourage innovation and drive digital literacy and skills among the populace.”

In his remarks, the Country General Manager at IBM, Mr. Dipo Faulkner, said: “IBM works with governments and key Ministries to address the societal impact of digital technology, leveraging our investment in education with platforms such as IBM Digital Nation Africa. This new collaboration furthers our aims of scaling digital job skills across Africa.”

Tue, 12 Jul 2022 12:00:00 -0500 en-US text/html https://www.thisdaylive.com/index.php/2020/01/20/fg-ibm-sign-mou-for-digital-skill-development/
Killexams : IBM announces starter platform for blockchain developers

IBM is continuing its effort to democratize blockchain technology for developers. The company announced the availability of the IBM Blockchain Platform Starter Plan designed to provide developers, startups and enterprises the tools for building blockchain proofs-of-concept and an end-to-end developer experience.

“What do you get when you offer easy access to an enterprise blockchain test environment for three months?” Jerry Cuomo, VP of blockchain technology at IBM, wrote in a blog post. “More than 2,000 developers and tens of thousands of transaction blocks, all sprinting toward production readiness.”

RELATED CONTENT: Unlocking the blockchain potential

IBM has been focused on bringing the blockchain to enterprises for years. Earlier this year, the company announced IBM Blockchain Starter Services, Blockchain Acceleration Services and Blockchain Innovation Services.

The platform is powered by the open-source Hyperledger Fabric framework, and features a test environment, suite of education tools and modules, network provisioning, and $500 in credit for starting up a blockchain network. Hyperledger Fabric is an open-source blockchain framework implementation originally developed by Digital Asset and IBM.

According to the company, the Blockchain Platform was initially built for institutions working collectively towards mission-critical business goals. “And while Starter Plan was originally intended as an entry point for developers to test and deploy their first blockchain applications, users also now include larger enterprises creating full applications powered by dozens of smart contracts, eliminating many of the repetitive legacy processes that have traditionally slowed or prevented business success,” Cuomo explained.

Other features include: access to IBM Blockchain Platform Enterprise Plan capabilities, code samples available on GitHub, and Hyperledger Composer open-source technology.

“Starter Plan was introduced as a way for anyone to access the benefits of the IBM Blockchain Platform regardless of their level of blockchain understanding or production readiness. IBM has worked for several years to commercialize blockchain and harden the technology for the enterprise based on experience with hundreds clients across industries,” Cuomo wrote.

Sun, 26 Jun 2022 12:00:00 -0500 en-US text/html https://sdtimes.com/webdev/ibm-announces-starter-platform-for-blockchain-developers/
Killexams : Can IBM Get Back Into HPC With Power10?

The “Cirrus” Power10 processor from IBM, which we codenamed for Big Blue because it refused to do it publicly and because we understand the value of a synonym here at The Next Platform, shipped last September in the “Denali” Power E1080 big iron NUMA machine. And today, the rest of the Power10-based Power Systems product line is being fleshed out with the launch of entry and midrange machines – many of which are suitable for supporting HPC and AI workloads as well as in-memory databases and other workloads in large enterprises.

The question is, will IBM care about traditional HPC simulation and modeling ever again with the same vigor that it has in past decades? And can Power10 help reinvigorate the HPC and AI business at IBM. We are not sure about the answer to the first question, and got the distinct impression from Ken King, the general manager of the Power Systems business, that HPC proper was not a high priority when we spoke to him back in February about this. But we continue to believe that the Power10 platform has some attributes that make it appealing for data analytics and other workloads that need to be either scaled out across small machines or scaled up across big ones.

Today, we are just going to talk about the five entry Power10 machines, which have one or two processor sockets in a standard 2U or 4U form factor, and then we will follow up with an analysis of the Power E1050, which is a four socket machine that fits into a 4U form factor. And the question we wanted to answer was simple: Can a Power10 processor hold its own against X86 server chips from Intel and AMD when it comes to basic CPU-only floating point computing.

This is an important question because there are plenty of workloads that have not been accelerated by GPUs in the HPC arena, and for these workloads, the Power10 architecture could prove to be very interesting if IBM thought outside of the box a little. This is particularly true when considering the feature called memory inception, which is in effect the ability to build a memory area network across clusters of machines and which we have discussed a little in the past.

We went deep into the architecture of the Power10 chip two years ago when it was presented at the Hot Chip conference, and we are not going to go over that ground again here. Suffice it to say that this chip can hold its own against Intel’s current “Ice Lake” Xeon SPs, launched in April 2021, and AMD’s current “Milan” Epyc 7003s, launched in March 2021. And this makes sense because the original plan was to have a Power10 chip in the field with 24 fat cores and 48 skinny ones, using dual-chip modules, using 10 nanometer processes from IBM’s former foundry partner, Globalfoundries, sometime in 2021, three years after the Power9 chip launched in 2018. Globalfoundries did not get the 10 nanometer processes working, and it botched a jump to 7 nanometers and spiked it, and that left IBM jumping to Samsung to be its first server chip partner for its foundry using its 7 nanometer processes. IBM took the opportunity of the Power10 delay to reimplement the Power ISA in a new Power10 core and then added some matrix math overlays to its vector units to make it a good AI inference engine.

IBM also created a beefier core and dropped the core count back to 16 on a die in SMT8 mode, which is an implementation of simultaneous multithreading that has up to eight processing threads per core, and also was thinking about an SMT4 design which would double the core count to 32 per chip. But we have not seen that today, and with IBM not chasing Google and other hyperscalers with Power10, we may never see it. But it was in the roadmaps way back when.

What IBM has done in the entry machines is put two Power10 chips inside of a single socket to increase the core count, but it is looking like the yields on the chips are not as high as IBM might have wanted. When IBM first started talking about the Power10 chip, it said it would have 15 or 30 cores, which was a strange number, and that is because it kept one SMT8 core or two SMT4 cores in reserve as a hedge against bad yields. In the products that IBM is rolling out today, mostly for its existing AIX Unix and IBM i (formerly OS/400) enterprise accounts, the core counts on the dies are much lower, with 4, 8, 10, or 12 of the 16 cores active. The Power10 cores have roughly 70 percent more performance than the Power9 cores in these entry machines, and that is a lot of performance for many enterprise customers – enough to get through a few years of growth on their workloads. IBM is charging a bit more for the Power10 machines compared to the Power9 machines, according to Steve Sibley, vice president of Power product management at IBM, but the bang for the buck is definitely improving across the generations. At the very low end with the Power S1014 machine that is aimed at small and midrange businesses running ERP workloads on the IBM i software stack, that improvement is in the range of 40 percent, provide or take, and the price increase is somewhere between 20 percent and 25 percent depending on the configuration.

Pricing is not yet available on any of these entry Power10 machines, which ship on July 22. When we find out more, we will do more analysis of the price/performance.

There are six new entry Power10 machines, the feeds and speeds of which are shown below:

For the HPC crowd, the Power L1022 and the Power L1024 are probably the most interesting ones because they are designed to only run Linux and, if they are like prior L classified machines in the Power8 and Power9 families, will have lower pricing for CPU, memory, and storage, allowing them to better compete against X86 systems running Linux in cluster environments. This will be particularly important as IBM pushed Red Hat OpenShift as a container platform for not only enterprise workloads but also for HPC and data analytic workloads that are also being containerized these days.

One thing to note about these machines: IBM is using its OpenCAPI Memory Interface, which as we explained in the past is using the “Bluelink” I/O interconnect for NUMA links and accelerator attachment as a memory controller. IBM is now calling this the Open Memory Interface, and these systems have twice as many memory channels as a typical X86 server chip and therefore have a lot more aggregate bandwidth coming off the sockets. The OMI memory makes use of a Differential DIMM form factor that employs DDR4 memory running at 3.2 GHz, and it will be no big deal for IBM to swap in DDR5 memory chips into its DDIMMs when they are out and the price is not crazy. IBM is offering memory features with 32 GB, 64 GB, and 128 GB capacities today in these machines and will offer 256 GB DDIMMs on November 14, which is how you get the maximum capacities shown in the table above. The important thing for HPC customers is that IBM is delivering 409 GB/sec of memory bandwidth per socket and 2 TB of memory per socket.

By the way, the only storage in these machines is NVM-Express flash drives. No disk, no plain vanilla flash SSDs. The machines also support a mix of PCI-Express 4.0 and PCI-Express 5.0 slots, and do not yet support the CXL protocol created by Intel and backed by IBM even though it loves its own Bluelink OpenCAPI interconnect for linking memory and accelerators to the Power compute engines.

Here are the different processor SKUs offered in the Power10 entry machines:

As far as we are concerned, the 24-core Power10 DCM feature EPGK processor in the Power L1024 is the only interesting one for HPC work, aside from what a theoretical 32-core Power10 DCM might be able to do. And just for fun, we sat down and figured out the peak theoretical 64-bit floating point performance, at all-core base and all-core turbo clock speeds, for these two Power10 chips and their rivals in the Intel and AMD CPU lineups. Take a gander at this:

We have no idea what the pricing will be for a processor module in these entry Power10 machines, so we took a stab at what the 24-core variant might cost to be competitive with the X86 alternatives based solely on FP64 throughput and then reckoned the performance of what a full-on 32-core Power10 DCM might be.

The answer is that IBM can absolutely compete, flops to flops, with the best Intel and AMD have right now. And it has a very good matrix math engine as well, which these chips do not.

The problem is, Intel has “Sapphire Rapids” Xeon SPs in the works, which we think will have four 18-core chiplets for a total of 72 cores, but only 56 of them will be exposed because of yield issues that Intel has with its SuperFIN 10 nanometer (Intel 7) process. And AMD has 96-core “Genoa” Epyc 7004s in the works, too. Power11 is several years away, so if IBM wants to play in HPC, Samsung has to get the yields up on the Power10 chips so IBM can sell more cores in a box. Big Blue already has the memory capacity and memory bandwidth advantage. We will see if its L-class Power10 systems can compete on price and performance once we find out more. And we will also explore how memory clustering might make for a very interesting compute platform based on a mix of fat NUMA and memory-less skinny nodes. We have some ideas about how this might play out.

Tue, 12 Jul 2022 07:21:00 -0500 Timothy Prickett Morgan en-US text/html https://www.nextplatform.com/2022/07/12/can-ibm-get-back-into-hpc-with-power10/
Killexams : Review: RHEL 9 delivers better security, management

RHEL 9.0, the latest major release of  Red Hat Enterprise Linux, delivers tighter security, as well as improved installation, distribution, and management for enterprise server and cloud environments.

The operating system, code named Plow, is a significant upgrade over RHEL 8.0 and makes it easier for application developers to test and deploy containers.

Available in server and desktop versoins, RHEL remains one of the top Linux distributions for running enterprise workloads because of its stability, dependability, and robustness. 

It is free for software-development purposes, but instances require registration with the Red Hat Subscription Management (RHSM) service. Red Hat, owned by IBM, provides 24X7 subscription-based customer support as well as professional integration services. With the money Red Hat receives from subscriptions, it supports other open source efforts, including those that provide upstream features that eventually end up in RHEL itself.

How can RHEL 9 fit into my environment?

RHEL 9 can be run on a variety of physical hardware, as a virtual machine on hypervisors, in containers, or as instances in Infrastructure as a Service (IaaS) public cloud services. It supports legacy x86 hardware as well as 64-bit x86_64-v2, aarch64, and ARMv8.0-A hardware architectures. RHEL 9 supports IBM Power 9, Power 10, and Z-series (z14) hardware platforms.

RHEL also supports a variety of data-storage file systems, including the common Ext4 file system, GFS2 and XFS. Legacy support for Ext2, Ext3, and vfat (FAT32) still exists.

Copyright © 2022 IDG Communications, Inc.

Fri, 15 Jul 2022 13:08:00 -0500 en text/html https://www.networkworld.com/article/3665910/review-rhel-9-delivers-better-security-management.html
Killexams : Smart Retail Market Summary By Forecast 2030 | CAGR of 26.5%

The MarketWatch News Department was not involved in the creation of this content.

Jul 07, 2022 (Alliance News via COMTEX) -- Competitive Landscape; Some of the major players operating the global market include Amazon.com, Inc., IBM Corporation, NCR Corporation, Verifone Systems, PAX Global Technology Limited, Samsung Electronics, Ingenico, Fiserv, Inc., Intel Corporation, Google LLC, LG Display Co., Ltd., Huawei Technologies Co., Ltd., and Honeywell International Inc.

The smart retail market is expected to grow at a CAGR of 26.5% during the forecast period 2021-2027.

The proliferation of the internet along with the increasing implementation of the augmented reality (AR) assists in building relationships with the consumer across the globe. For instance, in March 2017, Lowe's introduced the company's new in-store navigation app-Lowe's Vision. It is the first application that uses augmented reality for indoor mapping.

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In addition, growing awareness for the foot traffic in the retailing sector provides insights regarding various aspects of stores and helps retailers plan strategies as per the purchase history of the end-users. Therefore, these factors may positively influence the smart retail market growth in the foreseen period. Furthermore, the rising applications for smart transportation or logistics in the smart retail aids in tracking delivery vehicles or monitors the pathways with the help of GPS navigations also stimulate smart retail market growth.

The COVID-19 crisis has shown an adverse impact on the market, and mandatory restrictions on logistics and travel affect the supply chain of smart retail. Trade barriers are limiting the outlook of the market demand and supply. Various governments announced a temporary shutdown of industries and lockdowns in multiple regions that negatively affect production. Also, deliveries of the goods have been delayed for the customers along with the retailers. However, the gradual opening of lockdowns and the adoption of technologies may show considerable growth in the market of the smart retail industry over the forecasting years.

Growth Drivers

The global market witnessed considerable growth due to the growing adoption of automation and robotics in the retail industry. The increasing implementation of the various automation techniques to eradicate mistakes & accuracy and boost productivity fosters the smart retail market growth. In addition, retail robots capture the customer purchasing pattern and collect rough data about the goods on shelves. This raises the efficacy and accuracy in the management of stock.

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Moreover, smart retail devices also offer quick, consistent & precise control and Strengthen the delivery pattern. Furthermore, the growth of IoT-based devices & real-time data analytics in the market also shows a positive impact on the smart retail industry. Populations are rapidly shifting towards automation-based services and solutions, stimulating the market demand for AI, real-time data analytics, and IoT-based devices. Real-time data analytics gives a broad network for seamless data transfer. Therefore, the rising implementations of robotics & automation and technological developments in real-time data analytics are contributing to the global retail industry growth in the upcoming scenario.

Report Segmentation

By Solution

Hardware
Software

By Application

Visual Marketing
Smart Label
Smart Payment System
Intelligent System
Others (Robotics, analytics)

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Segmentation based on Region

North America

The U.S.

Canada

Mexico

Europe

Western Europe

The UK

Germany

France

Italy

Spain

Rest of Western Europe

Eastern Europe

Poland

Russia

Rest of Eastern Europe

Asia Pacific

China

India

Japan

Australia & New Zealand

ASEAN

Rest of Asia Pacific

Middle East & Africa (MEA)

UAE

Saudi Arabia

South Africa

Rest of MEA

South America

Brazil

Argentina

Rest of South America

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COMTEX_409807553/2796/2022-07-07T07:14:56

The MarketWatch News Department was not involved in the creation of this content.

Wed, 06 Jul 2022 23:14:00 -0500 en-US text/html https://www.marketwatch.com/press-release/smart-retail-market-summary-by-forecast-2030-cagr-of-265-2022-07-07
Killexams : Finding an easier way to AI adoption

We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - 28. Join AI and data leaders for insightful talks and exciting networking opportunities. Register today!


Artificial intelligence (AI) is the most revolutionary, consequential technology to have come along in decades. And while that’s exciting, it’s also ominous. Get it wrong, and you’re sunk.

At the same time, AI poses such an implantation challenge that getting it wrong is more likely than not. It will touch every digital aspect of the enterprise eventually, which means it is rife with pitfalls, namely, in the integration, training and execution phases of the rollout and, for many it will lead to a wholesale reworking of processes and even the business model itself.

AI deployments: Danger Below

On the surface, it would appear that AI deployments are moving along swimmingly. IBM reports that more than a third of companies say they are using AI in their businesses in some way, and another 42 percent are in the exploratory stage. Nevertheless, things like costs, lack of expertise and the inability to develop workable models are hampering these efforts, and far too few organizations are concentrating on fundamental aspects of AI like building trust, removing bias and tracking performance. 

It’s no wonder, then, that many organizations – even large ones with substantial resources – are caught in a kind of AI paralysis. Even those that have dipped their toes in these waters are findingfew concrete examples of success.

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For this reason, AI advocates are starting to shift the focus away from all the magical things the technology can do to more practical matters like how to deploy it in an efficient, effective manner. One example is a new book by six leaders in the field called Demystifying AI for the Enterprise. The book lays out a framework to overcome key implementation issues, such as understanding AI’s limits and targeting it at key problems that it can solve. As well, organizations should understand that, unlike previous technologies, AI doesn’t come fully formed out of the box. It must be trained to a level of maturity before it can provide effective support to key processes. And perhaps most importantly, AI works best when it allows people to become better at what they do.

The way forward with AI

A closer look at organizations that have successfully deployed AI shows a number of common themes, most of which involve looking past the technology itself to the data environment as a whole. For example, Jonathon Wright, chief technology evangelist at Keysight Technologies, notes that developing explainable use cases ahead of time greatly improves deployment and implementation, as does an overarching strategy of using AI to augment existing processes and filling gaps in the human workforce. As well, avoid an all-at-once, forklift upgrade to AI and instead plan for a smooth, nondisruptive transition from AI-ready to AI-capable and finally AI-enabled.

Every journey begins with a first step, however, so getting AI right on the first try, even in a limited fashion, can go a long way toward fostering future success. Naturally, this means putting AI to work on easy, proven tasks, which the editors at eWeek have identified as chatbots, image classification and price prediction. Intelligent chatbots are already revolutionizing customer support across many organizations, and they are fairly easy to implement using natural language processing (NLP) and other proven means to mimic conversational speech. 

Meanwhile, AI is highly adept at scanning images to a greater degree than previous technologies, and then identifying anomalies and automating classification. And since most prices are subject to a wide range of influences that can only be effectively tracked and measured in an intelligent fashion, AI has become the solution of choice in this area and is already producing significant contributions to revenues and profits.

It will be the rare organization that experiences no setbacks or hiccups in the process of putting AI into production environments, but that doesn’t mean steps should not be taken to keep failures to a minimum. And even failure can be beneficial if it leads to greater understanding of how the technology should work.

At this point, it is hard to see AI not producing the revolutionary changes to systems and processes in the enterprise. The only question is whether organizations will take the easy way to that point, or the hard way.

Mon, 11 Jul 2022 00:30:00 -0500 Arthur Cole en-US text/html https://venturebeat.com/2022/07/11/finding-an-easier-way-to-ai-adoption/
Killexams : Qatar selects IBM for smart infrastructure

The Qatar Public Works Authority 'Ashghal' has awarded IBM the contract to provide a smarter road and drainage infrastructure in the gas-rich country.

The new system will enhance the quality of services, safety and environmental sustainability for citizens in the country.

In line with the Qatar National Vision 2030, Ashghal and IBM will deploy an Enterprise Asset Management Solution (EAMS) to effectively manage the operation and maintenance of the country's roads and drainage networks and multiple effluent and water treatment plants.

The solution will enable Ashghal to rapidly evaluate and respond to defects or incidents reported by citizens and anticipate and prevent problems. Enabled through the use of mobile devices,

Ashghal will be able to quickly plan work requirements, determine resource availability and ensure the right crew responds with the right materials and tools.

 The new system will also gather and analyse millions of discrete pieces of information about the country's road and drainage assets through a Geographic Information System (GIS) to allow the location of assets or work to be determined and tracked in real time.

During the project kick-off meeting Ashghal's president Nasser bin Ali Al Mawlawi said the implementation of EAMS is a pivotal step towards enhancing and streamlining the services of Ashghal's roads and drainage operations and maintenance departments.

"Designed with a focus on customer centricity, the solution will help Ashghal to advance its asset management services with the organisation's overall business goals through a system that will guarantee lower asset failure frequency and ensure timely maintenance. With this advanced software, Ashghal will gain real time visibility into the country's asset usage and, better govern and manage the lifecycle of road and drainage networks to achieve higher returns on national investment," he added.

According to him, the ability to draw from multiple sources across Qatar will also provide better insight into the condition of pipes buried deep underground in specific locations and the road network.

"This will help reduce the frequency of maintenance interventions, which in turn will help reduce traffic congestion and increase public safety. It will ensure the road and drainage systems are safer and environmentally sustainable," he added.

With a total land area of 11,500 sq km and a population of 2.2 million, Qatar has experienced rapid economic growth over the last several years. This economic growth has resulted in increased demand for government entities in Qatar to provide a world-class infrastructure.

IBM opened an office in Qatar in April 2012 as part of the company's expansion in the Middle East to meet the growing needs of customers in the region.

"Building a smarter infrastructure is the foundation to establishing a smarter economy. Citizens are also placing increasing demands on their leaders to innovate and progress," remarked Amr Refaat, the general manager, IBM Middle East and Pakistan.

"The roll out of the Enterprise Asset Management Solution is a key demonstration of how Ashghal is already executing on Qatar's journey to a smarter economy leveraging Smart City concepts and enhancing citizen services," he added.

Based on IBM's Maximo Asset Management Software, the solution will transform the way road and drainage asset data, maintenance work, and ultimately customer services are managed within the Authority's Asset Affairs operations.

Tue, 28 Jun 2022 12:00:00 -0500 en text/html https://www.albawaba.com/business/qatar-selects-ibm-smart-infrastructure-586875
Killexams : IBM Transforms Business Operations with the RISE with SAP Solution in Expanded Partnership with SAP

Expanded Premium provider Option with IBM for RISE with SAP Now Supports Cloud Workloads Using IBM Power on Red Hat Enterprise Linux on IBM Cloud

ARMONK, N.Y. and WALLDORF, Germany, May 11, 2022 /PRNewswire/ -- IBM (NYSE: IBM) and SAP today announced the latest milestone in their long-standing partnership as IBM undertakes one of the world's largest corporate transformation projects based on SAP ® ERP software, designed to fuel the company's growth and better support its clients.

As part of the expanded partnership, IBM is migrating to SAP S/4HANA ®, SAP's next-generation ERP software, to perform work across more than 120 countries, 1,000 legal entities and numerous IBM businesses supporting software, hardware, consulting and finance. The project is focused on improving business processes with RISE with SAP S/4HANA Cloud, private edition, premium provider option with IBM Consulting, and will ultimately move more than 375 TB of data to IBM Power on Red Hat Enterprise Linux on IBM Cloud. RISE with SAP brings together what businesses need to pursue their digital transformation objectives and accelerate their move to the cloud.

Driven by the need to modernize processes and deliver better insights to support clients running in the cloud, RISE with SAP is helping IBM centralize and standardize data worldwide. With access to the SAP HANA ® database, data can be accessed in real time and shared more efficiently among business units and teams. The expanded partnership will also help with improved decision-making supported by AI and automated workflows. Once the transformation is completed, nearly all of IBM's US$58 billion in revenue will flow through SAP software.

"This expanded partnership will enable IBM to accelerate its business transformation in the cloud and fuel its future growth," said Christian Klein, CEO and Member of the Executive Board of SAP SE. "As a result, IBM will be positioned to provide the highest value of support and flexibility to its clients, allowing them to simplify and accelerate their business transformations while benefitting from the full value of RISE with SAP."

This business  transformation will eventually move more than 300 SAP instances and consolidate 500 servers with the RISE with SAP solution on IBM Power on Red Hat Enterprise Linux on IBM Cloud. The migration to SAP S/4HANA is already in progress across the company's software business unit. The initial deployment is focused on IBM's software-as-a-service and billing system and is already benefiting clients and IBM business partners through simplified billing and payment systems while enabling orders and contracts to be processed quickly.

IBM Consulting, with more than 38,000 highly trained SAP consultants, is leading the transformation providing the advisory, implementation, security, industry and technical expertise required to move these complex systems and applications to a digital environment. This is another example of IBM and SAP's accelerated ecosystem strategy, teaming up on both technology and consulting expertise while supporting most any cloud environment to help make it easier for clients  to embrace a hybrid cloud approach and move their mission-critical SAP software workloads to the cloud.

"Enterprise clients are seeking increased choice and control as they modernize their mission-critical workloads. Enabled by RISE with SAP, this is a milestone business transformation initiative for both companies due to its complexity and scale," said Arvind Krishna, IBM Chairman and Chief Executive Officer. "With this move, and IBM's experience using RISE with SAP internally, we will be even better prepared to support our clients on their hybrid cloud and business transformation journeys."

Expanded Premium provider Option for RISE with SAP on  IBM Power  on Red Hat Enterprise Linux on IBM Cloud

To provide clients more flexibility and computing power, including those in highly regulated industries, IBM is making the same cloud-based computing power that is underpinning its own migration available to clients. For clients who run RISE with SAP on IBM Cloud, an expansion of the premium provider option  provides an additional choice to run workloads on IBM Power on Red Hat Enterprise Linux on IBM Cloud.

As a premium supplier, IBM was the first cloud provider to offer infrastructure, technical managed services, business transformation and application management services as part of RISE with SAP. With clients increasingly leveraging hybrid cloud strategies to modernize their workloads, IBM and SAP are giving clients running on Power servers the ability to use RISE with SAP S/4HANA on Power infrastructure consistent with the architecture they run on premise. Underpinned exclusively by Red Hat Enterprise Linux, businesses running IBM Power on IBM Cloud will be able to achieve high levels of performance in a cloud environment for their mission-critical workloads, with the flexibility, resiliency and security features delivered by IBM and Red Hat.

To learn more about the RISE with SAP offering, please visit: https://www.ibm.com/cloud/services/rise-with-sap-premium.

About IBM

IBM is a leading global hybrid cloud and AI, and business services provider. We help clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,000 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM's legendary commitment to trust, transparency, responsibility, inclusivity and service.

Visit www.ibm.com for more information.

Statements regarding IBM's future direction and intent are subject to change or withdrawal without notice and represent goals and objectives only.

About SAP

SAP's strategy is to help every business run as an intelligent, sustainable enterprise. As a market leader in enterprise application software, we help companies of all sizes and in all industries run at their best: SAP customers generate 87% of total global commerce. Our machine learning, Internet of Things (IoT), and advanced analytics technologies help turn customers' businesses into intelligent enterprises. SAP helps provide people and organizations deep business insight and fosters collaboration that helps them stay ahead of their competition. We simplify technology for companies so they can consume our software the way they want – without disruption. Our end-to-end suite of applications and services enables business and public customers across 25 industries globally to operate profitably, adapt continuously, and make a difference. With a global network of customers, partners, employees, and thought leaders, SAP helps the world run better and Strengthen people's lives. For more information, visit www.sap.com.

This document contains forward-looking statements, which are predictions, projections, or other statements about future events. These statements are based on current expectations, forecasts, and assumptions that are subject to risks and uncertainties that could cause real results and outcomes to materially differ. Additional information regarding these risks and uncertainties may be found in our filings with the Securities and Exchange Commission, including but not limited to the risk factors section of SAP's 2021 Annual Report on Form 20-F.

SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE in Germany and other countries. Please  see  https://www.sap.com/copyright  for additional trademark information and notices.

Red Hat, Red Hat Enterprise Linux and the Red Hat logo are trademarks or registered trademarks of Red Hat, Inc. or its subsidiaries in the U.S. and other countries. Linux ® is the registered trademark of Linus Torvalds in the U.S. and other countries.

Stacy Ries
SAP
+1 484 619 0411
stacy.ries@sap.com  

Holli Haswell
IBM
+1 720 396 5485
hhaswell@us.ibm.com  

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Wed, 11 May 2022 08:39:00 -0500 text/html https://news.webindia123.com/news/press_showdetailsPR.asp?id=1252963&cat=PR%20News%20Wire
Killexams : Product Analytics Market Growing at a CAGR 21.3% | Key Player Google, IBM, Oracle, Adobe, Salesforce

The MarketWatch News Department was not involved in the creation of this content.

Jul 07, 2022 (AB Digital via COMTEX) -- The global Product Analytics Market size to grow from USD 9.6 billion in 2021 to USD 25.3 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 21.3% during the forecast period. Various factors such as growing need to Strengthen customer behavior management to deliver personalized recommendation of products, increasing demand for advanced analytics tools to ensure market competitiveness, and growing adoption of big data and other related technologies are expected to drive the adoption of product analytics solutions and services.

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COVID-19’s global impact has shown that interconnectedness plays an important role in international cooperation. As a result, several governments started rushing toward identifying, evaluating, and procuring reliable solutions powered by AI. Advanced analytics and AI are invaluable to organizations managing uncertainty in real-time, but most predictive models rely on historical patterns. The use of advanced analytics and AI has accelerated in the COVID-19 pandemic period. This has helped organizations engage customers through digital channels, manage fragile and complex supply chains, and support workers through disruption to their work and lives. At the same time, leaders have identified a major weakness in their analytics strategy: the reliance on historical data for algorithmic models. From customer behavior to supply and demand patterns, historical patterns, and the assumption of continuity are empowering the predictive models. Technology and service providers have been facing significant disruption to their businesses from COVID-19. It has become important for product managers to evaluate the critical ways in which the pandemic affects their teams so they can mitigate the negative effects and plan for recovery. Product managers serve at the intersection of different functions. They glue together product, engineering, and design. However, as the COVID-19 has been changing the product landscape, these relationships have gone remote and that is not the only problem teams are tackling. As many of the world’s major economies work to address the second wave of COVID-19, it would be an appropriate time to look at how the pandemic has changed product management. Hence, the COVID-19 pandemic has disrupted the global financial markets and has created panic, uncertainty, and distraction in the operations of global corporations.

Scope of the Report

Report Attributes

Details

Market size available for years

2020–2026

Base year considered

2020

Forecast period

2021–2026

Product Analytics Market Size in 2026

USD 25.3 billion

Growth Rate

21.3%

Segments covered

Component, Mode (Tracking Data, Analyzing Data), End User (Sales & Marketing Professionals, Consumer Engagement), Deployment Mode, Organization Size, Vertical, & Region

Geographies covered

North America, Europe, APAC, MEA, and Latin America

Companies covered

Google (US), IBM (US), Oracle (US), Adobe (US), Salesforce (US), Medallia (US), Veritone (US), LatentView Analytics (US), Mixpanel (US), Amplitude (US), Pendo (US), Kissmetrics (US), Gainsight (US), UserIQ (US), Copper CRM (US), Countly (UK), Heap (US), Plytix (Denmark), Risk Edge Solutions (India), Woopra (US), Piwik PRO (Poland), Smartlook (Czech Republic), LogRocket (US), Auryc (US), Quantum Metric (US), cux.io (Germany), Refiner (France), InnerTrends (England), GrowthSimple (US), OmniPanel (US), and Productlift (Canada)

The services segment to hold higher CAGR during the forecast period

Based on components, the product analytics market is segmented into solutions and services. The services segment has been further divided into professional and managed services. These services play a vital role in the functioning of product analytics solutions, as well as ensure faster and smoother implementation that maximizes the value of the enterprise investments. The growing adoption of product analytics solutions is expected to boost the adoption of professional and managed services. Professional service providers have deep knowledge related to the products and enable customers to focus on the core business, while MSPs help customers Strengthen business operations and cut expenses.

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As per Heap, product analytics is a robust set of tools that allow product managers and product teams to assess the performance of the digital experiences they build. Product analytics provides critical information to optimize performance, diagnose problems, and correlate a customer activity with a long-term value. The product analytics market comprises product analytics services and solutions embedded with advanced technologies, such as Artificial Intelligence (AI) and Machine Learning (ML) and big data analytics.

Some of the key players operating in the product analytics market include Google (US), IBM (US), Oracle (US), Adobe (US), Salesforce (US), Medallia (US), Veritone (US), LatentView Analytics (US), Mixpanel (US), Amplitude (US), Pendo (US), Kissmetrics (US), Gainsight (US), UserIQ (US), Copper CRM (US), Countly (UK), Heap (US), Plytix (Denmark), Risk Edge Solutions (India), Woopra (US), Piwik PRO (Poland), Smartlook (Czech Republic), LogRocket (US), Auryc (US), Quantum Metric (US), cux.io (Germany), Refiner (France), InnerTrends (England), GrowthSimple (US), OmniPanel (US), and Productlift (Canada). These product analytics vendors have adopted various organic and inorganic strategies to sustain their positions and increase their market shares in the global product analytics market.

Oracle was incorporated in 1977 and is headquartered in California, US. The company is a global leader in delivering a broad spectrum of products, solutions, and services designed to meet the requirements of corporate IT environments, such as platforms, applications, and infrastructure. Oracle’s customers include businesses of various sizes, government agencies, educational institutions, and resellers. The company, directly and indirectly, sells its products and services through a worldwide sales force and Oracle Partner Network, respectively. It specializes in developing, manufacturing, and marketing hardware systems, databases, middleware software, and application software. It provides SaaS offerings that are designed to incorporate emerging technologies, such as IoT, AI, ML, and blockchain. It operates through three business segments: cloud and license, hardware, and services, in more than 175 countries and caters to 4,30,000 customers across banking, telecommunications, engineering and construction, financial services, healthcare, insurance, public sector, retail, and utilities verticals. Oracle offers Oracle Analytics Cloud, Oracle Analytics Server, Oracle fusion analytics, and Oracle Essbase in the product analytics market.

IBM is a multinational technology and consulting corporation founded in the year 1911 and is headquartered in New York, US. It offers infrastructure, hosting, and consulting services and operates through five major business segments: cloud and cognitive software, global business services, global technology services, systems, and global financing. IBM’s product portfolio comprises various segments, such as IoT, analytics, security, mobile, social, and Watson. It caters to various industry verticals that include aerospace and defense, education, healthcare, oil and gas, automotive, electronics, insurance, retail and consumer products, banking and finance, energy and utilities, life sciences, telecommunications, media and entertainment, chemicals, government, manufacturing, travel and transportation, construction, and metals and mining. The company has a robust presence in the Americas, Europe, the MEA, and Asia Pacific and clients in more than 175 countries. In the product analytics market, IBM offers IBM Cognos Analytics, IBM Planning Analytics, IBM Spectrum control, IBM Streaming Analytics, and IBM QRadar User Behavior Analytics (UBA).

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Thu, 07 Jul 2022 02:07:00 -0500 en-US text/html https://www.marketwatch.com/press-release/product-analytics-market-growing-at-a-cagr-213-key-player-google-ibm-oracle-adobe-salesforce-2022-07-07
Killexams : Bot Services Market Growing at a CAGR 33.2% | Key Player Microsoft, IBM, Google, Oracle, AWS
Bot Services Market Growing at a CAGR 33.2% | Key Player Microsoft, IBM, Google, Oracle, AWS

“Microsoft (US), IBM (US), Google (US), Oracle (US), AWS (US), Meta (US), Artificial Solutions (Sweden), eGain (US), Baidu (China), Inbenta (US), Alvaria (US), SAP (Germany), Creative Virtual (UK), Gupshup (US), Rasa (US), Pandorabots (US), Botego (US), Chatfuel (US), Pypestream (US), Avaamo (US), Webio (Ireland), ServisBOT (US).”

Bot Services Market by Service Type (Platform & Framework), Mode of Channel (Social Media, Website), Interaction Type, Business Function (Sales & Marketing, IT, HR), Vertical (BFSI, Retail & eCommerce) and Region – Global Forecast to 2027

The Bot Services Market size to grow from USD 1.6 billion in 2022 to USD 6.7 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 33.2% during the forecast period. Various factors such as rise in the need for 24X7 customer support at a lower operational cost, integration of chatbots with social media to augment marketing strategy, and innovations in AI and ML technologies for chatbots resulting in better customer experience are expected to drive the adoption of bot services.

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According to Microsoft, Azure Bot Service provides an integrated development environment for bot building. Its integration with Power Virtual Agents, a fully hosted low-code platform, enables developers of all technical abilities to build conversational AI bots without the need for any further coding. The integration of Azure Bot Service and Power Virtual Agents enables a multidisciplinary team with a range of expertise and abilities to build bots inside a single software as a service (SaaS) solution.

Healthcare and Life Sciences vertical to witness the highest CAGR during the forecast period

The segmentation of the bot services market by vertical includes BFSI, retail & eCommerce, healthcare & life sciences, media & entertainment, travel & hospitality, IT & telecom, government, and others (automotive, utilities, education and real estate). The healthcare industry is developing rapidly due to many major technological advancements to enhance the overall patients experience. Hospitals and other health institutions are increasingly adopting bot services to Strengthen the overall experience of patients, doctors, and other staff. Additionally, bot services can enhance patient experience and build patient loyalty, while improving organizational efficiency. Moreover, bots, also known as virtual health assistants, notify patients about their medication plan, address concerns, deliver diagnosis reports, educate them regarding certain diseases, motivate them to exercise, and personalize user experience.

Some major players in the bot services market include Microsoft (US), IBM (US), Google (US), Oracle (US), AWS (US), Meta (US), Artificial Solutions (Sweden), eGain (US), Baidu (China), Inbenta (US), Alvaria (US), SAP (Germany), CM.com (Netherlands), Creative Virtual (UK), Kore.ai (US), [24]7.ai (US), Gupshup (US), Rasa (US), Pandorabots (US), Botego (US), Chatfuel (US), Pypestream (US), Avaamo (US), Webio (Ireland), ServisBOT (US), Morph.ai (India), Cognigy (Germany), Enterprise Bot (Switzerland), Engati (US), and Haptik (US). These players have adopted various organic and inorganic growth strategies, such as new product launches, partnerships and collaborations, and mergers and acquisitions, to expand their presence in the global bot services market.

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Artificial Solutions (Sweden) is a leading specialist in Conversational AI solutions and services. The solution offered by the company enables communication with applications, websites, and devices in everyday, human-like natural language via voice, text, touch, or gesture inputs. Artificial Solutions’ conversational AI technology makes it easy to build, implement, and manage a wide range of natural language applications, such as virtual assistants, conversational bots, and speech-based conversational UIs for smart devices. Artificial Solutions offers bot services and solutions to various industries, such as financial services, retail, automotive, telecom, energy and utilities, travel and leisure, and entertainment. Artificial Solutions has won several awards, such as the 2019 Stevie Awards for Sales and Customer Service, the 2018 Speech Industry Awards, and the 2018 AICONICS: Best Intelligent Assistant Innovation. The company’s major customers include AT&T, Shell, Vodafone, TIAA, Volkswagen Group, Deutsche Post, Widiba, Telenor Group, Accenture, KPMG, Cognizant, Wipro, and Publicis Sapient. It has development centers in Barcelona, Hamburg, London, and Stockholm and offices across Europe, Asia Pacific, and South America.

In the bot services market, it provides Teneo, a platform that enables business users and developers to collaborate to create intelligent conversational AI applications. These applications operate across 35 languages, multiple platforms, and channels in record time.

eGain (US) is a leading cloud customer engagement hub software supplier. eGain products have been used to Strengthen customer experience, streamline service processes, and increase revenue across the online, social media, and phone channels for over a decade. eGain helps hundreds of the worlds leading organizations turn their disjointed sales and customer service operations into unified customer engagement hubs (CEHs). In North America, Europe, the Middle East, Africa, and Asia Pacific, eGain Corporation develops, licenses, implements, and supports customer service infrastructure software solutions. It offers a unified cloud software platform to automate, augment, and orchestrate consumer interactions. It also provides subscription services, which provide users access to its software via a cloud-based platform, as well as professional services, including consultation, implementation, and training. The company caters to the financial services, telecommunications, retail, government, healthcare, and utilities industries.

In the bot services market, the company offers AI Chatbot Virtual Assistant software which improves customer engagement. The VA acts as a guide, helping customers navigate the website and taking them to the relevant places on a page. The virtual assistant provides answers to any queries, even helping in making shopping decisions.

Baidu (China) provides internet search services. It is divided into two segments: Baidu Core and iQIYI. The Baidu app helps customers to access search, feed, and other services through their mobile devices. Baidu Search helps users to access the companys search and other services. Baidu Feed gives users a customized timeline based on their demographics and interests. The company provides products, including Baidu Knows, an online community where users can ask questions to other users; Baidu Wiki; Baidu Healthcare Wiki; Baidu Wenku; Baidu Scholar; Baidu Experience; Baidu Post; Baidu Maps, a voice-enabled mobile app that provides travel-related services; Baidu Drive; Baijiahao; and DuerOS, a smart assistant platform. The company also provides online marketing services such as pay for performance, an auction-based service that enables customers to bid for priority placement of paid sponsored links and reach users searching for information about their products or services. Other marketing services offered by the company are display-based marketing services and other online marketing services based on performance criteria other than cost per click. The company offers a mobile ecosystem, which includes Baidu A, a portfolio of applications. Further, the company provides iQIYI, an online entertainment service, including original and licensed content; video content and membership; and online advertising services.

In the bot services market, Baidu offers Baidu Bot, a search bot software used by Baidu, which collects documents from the web to build a searchable index for the Baidu search engine.

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Wed, 13 Jul 2022 10:01:00 -0500 GetNews en-US text/html https://www.digitaljournal.com/pr/bot-services-market-growing-at-a-cagr-33-2-key-player-microsoft-ibm-google-oracle-aws
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