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IBM Developing mission
Killexams : IBM Developing mission - BingNews https://killexams.com/pass4sure/exam-detail/LOT-913 Search results Killexams : IBM Developing mission - BingNews https://killexams.com/pass4sure/exam-detail/LOT-913 https://killexams.com/exam_list/IBM Killexams : The Rise Of Digital Twin Technology

Senior advisor to the ACIO and executive leadership at the IRS.

The ongoing global digital transformation is fueling innovation in all industries. One such innovation is called digital twin technology, which was originally invented 40 years ago. When the Apollo mission was developed, scientists at NASA created a digital twin of the mission Apollo and conducted experiments on the clone before the mission started. Digital twin technology is now becoming very popular in the manufacturing and healthcare industries.

Do you know that the densely populated city of Shanghai has its own fully deployed digital twin (virtual clone) covering more than 4,000 kilometers? This was created by mapping every physical device to a new virtual world and applying artificial intelligence, machine learning and IoT technologies to that map. Similarly, Singapore is bracing for a full deployment of its own digital twin. The McLaren sports car already has its own digital twin.

Companies like Siemens, Philips, IBM, Cisco, Bosch and Microsoft are already miles ahead in this technology, fueling the Fourth Industrial Revolution. The conglomeration of AI, IoT and data analytics predicts the future performance of a product even before the product’s final design is approved. Organizations can create a planned process using digital twin technology. With a digital twin, process failures can be analyzed ahead of production. Engineering teams can perform scenario-based testing to predict the failures, identify risks and apply mitigation in simulation labs.

Digital twins produce a digital thread that can then enable data flows and provide an integrated view of asset data. These digital threads are the key to the product life cycle and help optimize product life cycles. The simulation of a digital thread can identify gaps in operational efficiencies and produce a wealth of process improvement opportunities through the application of AI.

Another reason behind the overwhelming success of digital twin technology is its use in issue identification and minor product design corrections while products are in operations. For example, for a high-rise building, with a digital twin, we can identify minor structural issues and implement them in the virtual world before carrying them over to the real world, cutting down long testing cycles.

By the end of this decade, scientists may come up with a fully functional digital twin of a human being that can tremendously help in medical research. There may be a digital version of some of us walking around, and when needed, it can provide updates to our family or healthcare providers regarding any critical health conditions we may have. Some powerful use cases for the use of digital twin humans include drug testing and proactive injury prevention.

Organizations starting to think about implementing digital twin technology in product manufacturing should first look at the tremendous innovation done by leaders like Siemens and GE. There are hundreds of case studies published by these two organizations that are openly available on the market. The next step is to create a core research team and estimate the cost of implementing this technology with the right ROI justification for your business stakeholder. This technology is hard to implement, and it’s also hard to maintain. That’s why you should develop a long-term sustainable strategy for digital twin implementation.


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Wed, 03 Aug 2022 02:00:00 -0500 Kiran Palla en text/html https://www.forbes.com/sites/forbestechcouncil/2022/08/03/the-rise-of-digital-twin-technology/
Killexams : IBM Rolls Out New Power10 Servers And Flexible Consumption Models

The high-end Power10 server launched last year has enjoyed “fantastic” demand, according to IBM. Let’s look into how IBM Power has maintained its unique place in the processor landscape.

This article is a bit of a walk down memory lane for me, as I recall 4 years working as the VP of Marketing at IBM Power back in the 90s. The IBM Power development team is unique as many of the engineers came from a heritage of developing processors for the venerable and durable mainframe (IBMz) and the IBM AS400. These systems were not cheap, but they offered enterprises advanced features that were not available in processors from SUN or DEC, and are still differentiated versus the industry standard x86.

While a great deal has changed in the industry since I left IBM, the Power processor remains the king of the hill when it comes to performance, security, reliability, availability, OS choice, and flexible pricing models in an open platform. The new Power10 processor-based systems are optimized to run both mission-critical workloads like core business applications and databases, as well as maximize the efficiency of containerized and cloud-native applications.

What has IBM announced?

IBM introduced the high-end Power10 server last September and is now broadening the portfolio with four new systems: the scale-out 2U Power S1014, Power S1022, and Power S1024, along with a 4U midrange server, the Power E1050. These new systems, built around the Power10 processor, have twice the cores and memory bandwidth of the previous generation to bring high-end advantages to the entire Power10 product line. Supporting AIX, Linux, and IBM i operating systems, these new servers provide Enterprise clients a resilient platform for hybrid cloud adoption models.

The latest IBM Power10 processor design includes the Dual Chip Module (DCM) and the entry Single Chip Module SCM) packaging, which is available in various configurations from four cores to 24 cores per socket. Native PCIe 5th generation connectivity from the processor socket delivers higher performance and bandwidth for connected adapters. And IBM Power10 remains the only 8-way simultaneous multi-threaded core in the industry.

An example of the advanced technology offered in Power10 is the Open Memory Interface (OMI) connected differential DIMM (DDIMM) memory cards delivering increased performance, resilience, and security over industry-standard memory technologies, including the implementation of transparent memory encryption. The Power10 servers include PowerVM Enterprise Edition to deliver virtualized environments and support a frictionless hybrid cloud deployment model.

Surveys say IBM Power experiences 3.3 minutes or less of unplanned outage due to security issues, while an ITIC survey of 1,200 corporations across 28 vertical markets gives IBM Power a 99.999% or greater availability rating. Power10 also stepped up the AI Inferencing game with 5X faster inferencing per socket versus Power9 with each Power10 processor core sporting 4 Matrix Math Accelerators.

But perhaps even more telling of the IBM Power strategy is the consumption-based pricing in the Power Private Cloud with Shared Utility Capacity commercial model allowing customers to consume resources more flexibly and efficiently for all supported operating systems. As x86 continued to lower server pricing over the last two decades, IBM has rolled out innovative pricing models to keep these advanced systems more affordable in the face of ever-increasing cloud adoption and commoditization.

Conclusions

While most believe that IBM has left the hardware business, the company’s investments in underlying hardware technology at the IBM Research Labs, and the continual enhancements to IBM Power10 and IBM z demonstrate that the firm remains committed to advanced hardware capabilities while eschewing the battles for commoditized (and lower margin) hardware such as x86, Arm, and RISC-V.

Enterprises demanding more powerful, flexible, secure, and yes, even affordable innovation would do well to familiarize themselves with IBM’s latests in advanced hardware designs.

Mon, 18 Jul 2022 04:29:00 -0500 Karl Freund en text/html https://www.forbes.com/sites/karlfreund/2022/07/18/ibm-rolls-out-new-power10-servers-and-flexible-consumption-models/
Killexams : IBM acquires Databand to bolster its data observability stack

IBM today announced that it acquired Databand, a startup developing an observability platform for data and machine learning pipelines. Details of the deal weren't disclosed, but Tel Aviv-based Databand had raised $14.5 million prior to the acquisition.

Databand employees will join IBM's data and AI division, with the purchase expected to close on July 27.

In a statement, IBM general manager for data and AI Daniel Hernandez said that folding Databand into IBM's broader portfolio would help the latter's customers better identify and fix data issues including errors, pipeline failures and poor quality. The plan is to expand Databand's observability capabilities for integrations across open source and commercial tools, while allowing customers to have "full flexibility" in running Databand either as a service or a self-hosted subscription.

"Our clients are data-driven enterprises who rely on high-quality, trustworthy data to power their mission-critical processes. When they don't have access to the data they need in any given moment, their business can grind to a halt," Hernandez said.

Hernandez sees Databand complementing IBM's existing observability tools, namely IBM Observability by Instana APM and IBM Watson Studio. For example, he suggests, Databand could alert engineers when the data they're using to power an analytics system is incomplete, triggering Instana to explain where the missing data originated and why the system is failing.

"With the addition of Databand, IBM ... is continuing to provide our clients and partners with the technology they need to deliver trustworthy data and AI at scale," Hernandez added.

Databand was co-founded in 2018 by Josh Benamram, Victor Shafran and Evgeny Shulman. As my colleague Ingrid Lunden wrote in her profile of the company two years ago, Databand crunches various pipeline metadata including logs, runtime info and data profiles, and presents it in a single platform alongside data from other sources like Airflow, Spark and Snowflake. The goal is to supply engineers a view of where bottlenecks or anomalies are appearing and the potential reasons why.

Databand managed to attract notable customers including FanDuel, Agoda and Trax Retail. Accel, Blumberg Capital, Lerer Hippeau, Ubiquity Ventures, Differential Ventures and Bessemer Venture Partners were among the early investors.

"You can’t protect what you can’t see, and when the data platform is ineffective, everyone is impacted – including customers," Benamram said in a statement. "That’s why global brands ... already rely on Databand to remove bad data surprises by detecting and resolving them before they create costly business impacts. Joining IBM will help us scale our software and significantly accelerate our ability to meet the evolving needs of enterprise clients.”

Data observability is a burgeoning -- and perhaps even recession-proof -- market. As the volume of data continues to climb, organizations are struggling to manage the health and quality of their datasets (so the vendor narrative goes). Statista estimates that the sector will increase from $12.98 billion in worth in 2020 to $19.38 billion in 2024, buoyed by the growth of startups like Manta, Monte Carlo, Edge Delta and Cribl. Investors poured over half a billion dollars into observability startups in May alone.

In a press release, IBM notes that Databand is its fifth acquisition in 2022. It continues the buying spree Arvind Krishna kicked off when he became CEO two years ago, focused on companies in AI, automation, cloud and IT.

Wed, 06 Jul 2022 00:43:00 -0500 en-US text/html https://www.yahoo.com/entertainment/ibm-acquires-databand-bolster-data-120025555.html
Killexams : The Syndicate, episode four: IBM and the birth of the swap market

In May 1981, the US Federal Reserve raised interest rates to a level never seen before – or since. It was harsh medicine for the US economy. But, with inflation in the double digits, chair Paul Volcker and the rest of the board saw no real alternative. It didn’t take long for the pain to feed through to the economy. As the cost of borrowing shot up, companies laid off millions of workers and soon the largest economy in the world was plunged into its worst recession since the 1930s.

The hike was particularly bad news for the World Bank. Over the previous decade or so, its president Robert McNamara had been on a mission to transform the institution into a real force for tackling global poverty – as atonement for his role in the Vietnam War, many suspected. He’d overseen a quadrupling of its lending programme to poor countries – all of it financed through borrowing. By the early 1980s, the World Bank was one of the biggest borrowers on the planet.

Volcker’s rate hikes were a disaster for the World Bank’s efforts to combat poverty. Even before the rate rises, it was paying US$2bn a year in interest. Under its statutes, those costs had to be passed on to the poor countries borrowing from it. As the rate hikes pushed up its cost of funding – the World Bank was paying 14% to borrow two-year money despite being an ultra-safe credit – McNamara began to worry that its lending programme was fast becoming unsustainable.

With 140 vital projects in 50 countries across the developing world under threat, McNamara turned to his treasurer Eugene Rotberg and asked him to find a solution. Initially, Rotberg tried to simply borrow more money overseas – especially in European countries such as Germany and Switzerland where rates were much lower. But those countries weren’t happy about the vast sums being borrowed and taken out of their money markets and soon started to clamp down

Rotberg then turned to John Rosenstreich, a banker he knew at Salomon Brothers. The two men came up with a solution that was ingenious in its simplicity. Rosenstreich had a client – technology giant IBM – that also had a problem. It had borrowed money in Germany at much cheaper rates. The mark had sunk against the dollar and IBM wanted to pay off the money earlier to lock in gains. But it couldn’t. What if, Rosenstreich suggested, the World Bank and IBM simply swap liabilities?

This episode tells the story of how a quest to save vital projects in the developing world ended up changing markets forever. It’s the story of how the World Bank turned to a relatively unknown corner of finance and helped bring it into the mainstream, helping develop the swaps market that today is linked to hundreds of trillions of dollars of assets. But it’s also the story of how the World Bank helped create a monster that a generation later would bring the global economy to collapse.

We talk to Rotberg, the man behind the deal, as well as other people involved. They reminisce about how it happened and opine on the legacy of that ground-breaking trade. “My main concern at the time was about the next bond transaction … I wasn't looking at the future,” Rotberg tells The Syndicate. “But within a year, I began to worry that the expertise was enormous in the hands of the investment bankers. The CFTC the SEC, and the Fed had no idea what was going on.”

To hear this episode – and more like it – for free and in full, click one of the links below or search your podcast provider of choice for "IFR the Syndicate".

Sun, 15 May 2022 14:11:00 -0500 en text/html https://www.ifre.com/story/3360588/the-syndicate-episode-four-ibm-and-the-birth-of-the-swap-market-cy5trc0mzb
Killexams : IBM completes health data firm sale

US – IBM’s Watson Health business has completed the sale of its healthcare data and analytics assets to global investment firm Francisco Partners.

Healthcare pharmaceuticals_crop

The assets will be included in a new standalone company under the ownership of Francisco called Merative, which will be headquartered in Ann Arbor, Michigan, US.

Merative will work in areas such as life sciences, provider, imaging, health plan, employer and government health and human services.

Gerry McCarthy has been hired to lead Merative, having most recently been chief executive of eSolutions, a Francisco Partners company that was sold to Waystar in October 2020.

Before eSolutions, McCarthy was president of TransUnion Healthcare and an executive at McKesson.

Paul Roma, general manager of the Watson Health business, will become senior adviser to Francisco Partners.

Merative’s products will be organised into six ‘product families’, including Health Insights; MarketScan; Clinical Development; Social Programme Management and Phytel; Micromedex; and Merge Imaging solutions.

Francisco Partners said its investment would provide Merative with significant resources and opportunities for new investment, acquisitions, partnerships, and growth.

Ezra Perlman and Justin Chen of Francisco Partners said: “Francisco Partners is excited about the opportunity to partner with the team and employees at Merative to help them achieve their mission, bringing technology and expertise to clients across healthcare through industry-leading data and analytics solutions.

“We appreciate IBM’s work in developing this business, and our ownership will help Merative drive crucial focus in executing on organic and inorganic growth strategies.”

Thu, 07 Jul 2022 21:20:00 -0500 en text/html https://www.research-live.com/article/news/ibm-completes-health-data-firm-sale/id/5100872
Killexams : EMQ and SAP's Commitment to a More Sustainable and Connected Future

CALIFORNIA, July 19, 2022 - EMQ Technologies, the world’s leading provider of open-source IoT data infrastructure, today announced it had joined SAP’s Strategic Alliance for Sustainable Development and Practice with IBM, Deloitte, and other global partners. The partnership advances EMQ’s mission to serve the future of human society through world-class software and will help both parties roll out new mission-critical IoT solutions targeting sustainability.

As a global software giant and pioneer in sustainability, SAP upholds its commitment to helping the world achieve net-zero carbon emissions by delivering a suite of software solutions that address the needs of sustainable business operations. Over 400,000 global organizations in 180+ countries use its systems to drive sustainability at scale.

EMQ is an innovative open-source technology provider that has built a strong track record in MQTT-based critical infrastructure solutions. EMQ’s flagship product EMQX is used by thousands of companies worldwide to manage their IoT projects.

By entering this strategic alliance, EMQ will join forces with global partners to accelerate tech-enabled digital transformations that create sustainability in all dimensions for business, as well as build a healthier planet and society together.

EMQ co-founder and COO, Hongyu Bao said: ”This collaboration sets another milestone for EMQ, following the partnership with SAP on an integrated carbon reduction solution last year. Together with SAP, we will co-develop more industry-leading sustainable IoT infrastructure solutions for global organizations in the future.”

Teaming Up to Construct Green IoT Solutions

Global warming has become a frontline issue in the world today. The G20 countries are taking action to reach net-zero emissions targets (PDF) and global problems require global solutions.

Over the previous year, EMQ has collaborated with SAP on developing a Green IoT solution that helps global organizations realize their zero-emission ambitions.

Both parties use their respective technological advantages in the field of digital transformation and IoT data connectivity to jointly build a digital platform for carbon emissions reduction.

SAP has long experience helping businesses execute their initiatives towards reducing their carbon footprint and achieving sustainability targets, while EMQ contributes data-driven IoT architectures that easily scale to monitor massive amounts of data quickly and reliably across multi-cloud and edge environments.

The integrated Green IoT solution uses the EMQ X IIoT Suite rule engine to interface with SAP Event Mesh (SAP Enterprise Messaging) and transmits carbon footprint data to the SAP Business Technology Platform (SAP BTP) for analysis.

EMQX IIoT Suite is an industrial IoT foundation for client access and stream data pre-processing, including multi-protocol device integration using Neuron and the EMQX Enterprise MQTT broker, which is capable of 100 million concurrent connections and millions of data per second throughput. Its powerful rules engine can be used to transfer industrial energy consumption data, manufacturing process data, emissions data, and new energy production data to various data platforms, enabling one-stop data extraction, filtering, conversion, and processing.

It is perfectly integrated with the SAP BTP platform and combines the advantages of SAP Analytics Cloud visualization to show all key indicators related to control of carbon footprint, thus realizing intelligent carbon emission management.

Contributing to a better future

Reducing carbon emissions is both corporate responsibility and a global issue. EMQ and SAP's carbon-neutral integration solution can not only help enterprises toward digital transformation goals but also promote the green economy and the health of society.

Building on these achievements, the joint EMQ and SAP development team will also work closely on exploiting more promising technologies that help the world run better and Improve people's lives.

Quickly turn your vision into reality with secure, scalable edge-to-cloud IoT solutions from EMQ. Get Started for Free today!

About EMQ
EMQ is an innovative open-source software provider with strong roots in IoT data infrastructure, delivering the world’s leading cloud-native MQTT messaging, streaming database, and edge computing solutions.

Since 2017 EMQ has been developing a high-performance and massively scalable distributed MQTT messaging server – EMQX to accelerate the connectivity and integration of a wide spectrum of IoT applications and data across multiple platforms.

So far, EMQX has been adopted by more than 20,000 global users from over 50 countries, connecting more than 100 million IoT devices worldwide.

EMQ’s robust and flexible edge-to-cloud IoT data solutions encompass a suite of technologies designed for IoT applications: reliability, security, availability, scalability, latency & throughput. This enables successful enterprise-grade IoT deployments with ease and scale.

As a global organization, EMQ located its R&D center in Stockholm, Sweden, and has 10+ offices throughout the Americas, Europe, and the Asia-Pacific region.

Contacts
Melanie Wu
Email: melanie.wu@emqx.io

Mon, 18 Jul 2022 22:58:00 -0500 text/html https://www.realwire.com/releases/EMQ-and-SAPs-Commitment-to-a-More-Sustainable-and-Connected-Future
Killexams : IBM acquires Databand to bolster its data observability stack

IBM today announced that it acquired Databand, a startup developing an observability platform for data and machine learning pipelines. Details of the deal weren't disclosed, but Tel Aviv-based Databand had raised $14.5 million prior to the acquisition.

Databand employees will join IBM's data and AI division, with the purchase expected to close on July 27.

In a statement, IBM general manager for data and AI Daniel Hernandez said that folding Databand into IBM's broader portfolio would help the latter's customers better identify and fix data issues including errors, pipeline failures and poor quality. The plan is to expand Databand's observability capabilities for integrations across open source and commercial tools, while allowing customers to have "full flexibility" in running Databand either as a service or a self-hosted subscription.

"Our clients are data-driven enterprises who rely on high-quality, trustworthy data to power their mission-critical processes. When they don't have access to the data they need in any given moment, their business can grind to a halt," Hernandez said.

Hernandez sees Databand complementing IBM's existing observability tools, namely IBM Observability by Instana APM and IBM Watson Studio. For example, he suggests, Databand could alert engineers when the data they're using to power an analytics system is incomplete, triggering Instana to explain where the missing data originated and why the system is failing.

"With the addition of Databand, IBM ... is continuing to provide our clients and partners with the technology they need to deliver trustworthy data and AI at scale," Hernandez added.

Databand was co-founded in 2018 by Josh Benamram, Victor Shafran and Evgeny Shulman. As my colleague Ingrid Lunden wrote in her profile of the company two years ago, Databand crunches various pipeline metadata including logs, runtime info and data profiles, and presents it in a single platform alongside data from other sources like Airflow, Spark and Snowflake. The goal is to supply engineers a view of where bottlenecks or anomalies are appearing and the potential reasons why.

Databand managed to attract notable customers including FanDuel, Agoda and Trax Retail. Accel, Blumberg Capital, Lerer Hippeau, Ubiquity Ventures, Differential Ventures and Bessemer Venture Partners were among the early investors.

"You can’t protect what you can’t see, and when the data platform is ineffective, everyone is impacted – including customers," Benamram said in a statement. "That’s why global brands ... already rely on Databand to remove bad data surprises by detecting and resolving them before they create costly business impacts. Joining IBM will help us scale our software and significantly accelerate our ability to meet the evolving needs of enterprise clients.”

Data observability is a burgeoning -- and perhaps even recession-proof -- market. As the volume of data continues to climb, organizations are struggling to manage the health and quality of their datasets (so the vendor narrative goes). Statista estimates that the sector will increase from $12.98 billion in worth in 2020 to $19.38 billion in 2024, buoyed by the growth of startups like Manta, Monte Carlo, Edge Delta and Cribl. Investors poured over half a billion dollars into observability startups in May alone.

In a press release, IBM notes that Databand is its fifth acquisition in 2022. It continues the buying spree Arvind Krishna kicked off when he became CEO two years ago, focused on companies in AI, automation, cloud and IT.

Wed, 06 Jul 2022 00:51:00 -0500 en-CA text/html https://ca.news.yahoo.com/ibm-acquires-databand-bolster-data-120025555.html
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