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000-641 exam Dumps Source : Robot

Test Code : 000-641
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: 57 real Questions

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IBM IBM Robot

IBM to purchase again as much as $4 Billion of Its Shares | killexams.com real Questions and Pass4sure dumps

No outcomes found, are trying novel key phrase!IBM stated on Sunday that it will cease doing buybacks in 2020 and 2021 to reserve cash for its $33 billion acquisition of crimson Hat. The transaction is anticipated to shut next 12 months. The know-how huge besides ...

red Hat to become a section of IBM’s Hybrid Cloud division in contemporary acquisition valued at $34B | killexams.com real Questions and Pass4sure dumps

IBM appears set to purchase software enterprise purple Hat for a whopping $34 billion in a circulation that's anticipated to grow its cloud computing cloud providing in the commercial enterprise market. crimson Hat announced that each companies indulge in struck a deal for the acquisition which is anticipated to complete in the 2nd half of 2019 if it beneficial properties regulatory approvals.

“The acquisition of purple Hat is a game-changer. It changes every microscopic thing about the cloud market,” said Ginni Rometty, IBM Chairman, President, and Chief government Officer. “IBM will turn into the realm’s #1 hybrid cloud issuer, providing groups the simplest open cloud reply in an effort to free up the full expense of the cloud for his or her agencies.

“Most companies today are best 20 percent alongside their cloud event, renting compute vigour to nick fees,” she said. “The subsequent eighty p.c is ready unlocking real business expense and driving growth. this is the next chapter of the cloud. It requires shifting enterprise functions to hybrid cloud, extracting more facts and optimizing every a section of the business, from give chains to income.”

With the acquisition, IBM hopes to win competencies of each businesses’ services in Linux, containers, Kubernetes, multi-cloud management, and cloud administration and automation to aid consumers speed up the progress of company functions. greater to the factor, the combined organizations will supposedly support enterprises address the problem of securing and migrating information from one gadget to a different as a result of the proprietary nature of latest cloud systems. the two companies additionally vow to proceed to benign alliances with giant cloud providers together with Amazon net features, Microsoft Azure, Google Cloud, and Alibaba, amongst others.

Upon closing of the acquisition, red Hat will subsist a section of IBM’s Hybrid Cloud crew as a discrete unit, protecting the independence and neutrality of crimson Hat’s open source construction heritage and commitment, existing product portfolio and go-to-market approach, and pleasing construction subculture.

crimson Hat will continue to subsist led with the aid of Jim Whitehurst and red Hat’s present administration group. Jim Whitehurst additionally will subsist section of IBM’s senior management team and report to Ginni Rometty. IBM intends to retain red Hat’s headquarters, facilities, brands, and practices.

by means of PRNewsWire


synthetic Intelligence, relish a robotic, Enhances Museum Experiences | killexams.com real Questions and Pass4sure dumps

This yr, three Washington-based museums of the Smithsonian establishment deployed a half-dozen four-toes-tall, humanoid robots, nicknamed Pepper, to reply friends’ questions and inform stories, the exercise of voice, gestures and an interactive contact display. They additionally dance, play games and pose for selfies.

Rachel Goslins, director of the Smithsonian’s Arts and Industries pile and overseer of the robots’ deployment, pointed out she has been “blown away” via company’ reactions to them.

Pepper, she introduced, “feels absolutely aligned with the museums’ mission. we're asking americans to subsist current, engaged, to indulge in a communal adventure. We’re no longer making you examine your cell much more; we’re making a playful, contented human event.” She talked about 80 more robots ultimately can subsist rolled out, assisting to e bespeak the work of the Smithsonian’s educators and docents.

(The museums the usage of Pepper are the national Museum of African American history and culture, the Hirshhorn Museum and Sculpture backyard, and country wide Museum of African artwork, as well because the Smithsonian citadel, which is using eight robots, four of which may travel in different places.) The robot changed into created through SoftBank Robotics.

The Smithsonian project into synthetic intelligence to interact visitors is only one illustration in a each and every of a sudden relocating trend mixing artwork and expertise.

artificial intelligence is increasingly being used these days by means of museums of each and every sizes global, which create exercise of it to improve every thing from robots, chatbots and websites, to paraphernalia that support them anatomize traveller facts and their collections, and investigate admission policies and exhibition content material.

The Akron paintings Museum is encouraging visitors to create exercise of their telephones to interact with Dot, its chatbot digital tour e-book, which activities shadowy glasses and a pink pageboy. brought in August, Dot is available via the facebook Messenger platform; when friends enter the museum, they're directed to a kiosk that explains how Dot works.

She takes guests on a six-cease “select your personal adventure” tour of the museum’s everlasting assortment, discussing 60 works of art and asking company questions. In entrance of a Sol LeWitt mural within the museum’s lobby, for example, she explains that LeWitt didn't personally paint the mural but that a drafter did. She calls this process delegating, and asks, “What a section of your job attain you hope you might assign to somebody else?”

Mark Masuoka, director of the museum, known as Dot “a powerful fashion to combine americans with art and each other. and he or she doesn’t require prior abilities of the artwork.” He said the museum would anatomize utilization of the chatbot, which he observed might aid it create “greater suggested selections about how they are looking to improve initiatives and exhibitions.”

The Museum of the next day in Rio de Janeiro collaborated with IBM to expand an IRIS+ chatbot that makes exercise of IBM’s Watson ersatz intelligence expertise and was delivered final yr.

On arrival, museum visitors acquire a card embedded with a chip to exercise IRIS+. once they conclude traveling the core exhibition, IRIS+ asks, by means of an iPad, “After everything you realized commonly exhibition, what are your issues in today’s world?”

all the way through the conversation that follows, the app exchanges facts with IBM’s cloud and suggests initiatives suitable to the guests’ issues, basing these, in part, on very own recommendation the company are invited to deliver, similar to their date of dawn and where they reside.

guests besides are inspired to win a selfie for a wall at the conclusion of the core exhibition. This wall shows visitors’ photos, together with their first names and personal interests; the wall besides tracks and graphically displays each and every friends’ excellent concerns.

The Barnes groundwork used ersatz intelligence when it introduced a novel assortment website final 12 months, as a section of the social gathering of the fifth anniversary of its circulate to downtown Philadelphia.

Emulating the standards the museum’s founder, Albert C. Barnes, used to screen his paintings collection in ensembles, the brand novel web page lets visitors search the assortment by visible residences, reminiscent of gentle, line, color and area, filtering photos based on aesthetic similarities. greater than 2,000 of the roughly 3,000 works in the Barnes’s collection indulge in been published on the web page. The number of company going to the Barnes’s web site has tripled when you account that the novel collection screen changed into added, in keeping with Shelley Bernstein, the museum’s consulting artistic technologist.

the brand novel Museum in manhattan, which became established in 1977 to betray novel works through residing artists, has besides worked regularly with synthetic intelligence. Rhizome, an affiliate of the museum considering that 2003 this is dedicated to what it calls “born-digital paintings and tradition,” recently commissioned a assignment, enron.e-mail, which become developed by way of Sam Lavigne and Tega brain and explores the greater than a hundred,000 emails concerning Enron’s company fraud. Working with Nokia Bell Labs through novel INC, the museum’s incubator, is Fei Liu, an artist who is instructing robots a way to play elementary games as a means to superior win into account the human skill for empathy. novel INC is besides working with Channel Studio, a group of artists it's mining two decades of usual tune to create novel interactive apps to create compositions.

The Museum of up to date art is using ersatz intelligence to research guests’ comments, while The vast in la is the usage of it to research guests’ habits, akin to ticket and gift shop purchases and web page visits. Diana Pan, chief know-how officer of MoMA, which is now present process growth, observed the records produced by using ersatz intelligence may support it examine novel signage and navigation requirements. Heather Hart, director of recommendation technology for The large, stated the records it collects couldn't most effectual support it enrich ticket distribution and exhibition planning, but besides possibly what it sells in its reward shop and publishes in its newsletter.

synthetic intelligence has allowed the paintings Institute of Chicago to tune how lengthy guests dwell in its galleries, main it to proffer extra small exhibitions specializing in its permanent collection.

And A.I. is helping the conservation and attribution efforts of Robert Erdmann, senior scientist on the Rijksmuseum in Amsterdam. he's setting up paraphernalia that enable guests to his museum’s site — which carries over 300,000 digital images of objects in its assortment — to create exercise of synthetic intelligence once they are trying to create comparisons amongst these objects, exploring, as an example, each and every works — beside the museum’s eminent Vermeer painting of a milkmaid — of women making ready meals.

one more feasible application of ersatz intelligence, in keeping with Elizabeth Merritt, director of the American Alliance of Museums’ middle for the future of Museums, could subsist the capacity of visitors to indulge in interaction with historic figures at history museums, via chatbots developed the usage of the figures’ posted writings and archives, as well as oral histories.

Robert Stein, government vice chairman and chief software officer of the American Alliance of Museums, warned that museums must subsist alert about privateness considerations as they exercise synthetic intelligence, for example, preserving anything very own counsel their company deliver.

“Any time you talk about an emerging technology, museums indulge in an considerable position to play teaching the common public about it. ersatz intelligence goes to subsist enormously vital in shaping the world they are animate in, in profound approaches. They deserve to subsist mindful the technology and the issues it raises,” delivered Ms. Merritt.


000-641 Robot

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000-641 exam Dumps Source : Robot

Test Code : 000-641
Test designation : Robot
Vendor designation : IBM
: 57 real Questions

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Where will I find questions and Answers to study 000-641 exam?
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Im very masses contented along with your test papers particularly with the solved issues. Your win a peep at papers gave me courage to appear in the 000-641 paper with self assurance. The finish result is seventy seven.25%. Over again I complete heartedly thank the killexams.Com employer. No other manner to bypass the 000-641 examination apart from killexams.Com model papers. I in my view cleared discrete assessments with the aid of killexams.Com question economic organization. I suggest it to each one. If you exigency to pass the 000-641 examination then win killexams.Com help.


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Being a community expert, I notion appearing for 000-641 exam would possibly actually assist me in my career. However, because of time restrains schooling for the examination indulge in become absolutely hard for me. I was searching out a observe pilot that might create matters higher for me. Killexams.Com dumps labored relish wonders for me as that could subsist a clinical reply for extra unique win a peep at. Abruptly, with its assist, I managed to finish the exam in most effectual 70 minutes it is virtually a stunning. Thanks to killexams.Com materials.


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This braindump from helped me obtain my 000-641 certification. Their substances are honestly useful, and the trying out engine is just terrific, it absolutely simulates the 000-641 exam. The examination itself turned into complex, so Im satisfied I used Killexams. Their bundles cover the whole thing you want, and besides you wont obtain any unpleasant surprises at some point of your exam.


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I used this package for my 000-641 examination, too and surpassed it with top score. I depended on killexams.Com, and it become the proper election to make. They give you actual 000-641 exam questions and answers just the manner you may descry them on the exam. Accurate 000-641 dumps are not to subsist had everywhere. Dont depend on lax dumps. The dumps they furnished are updated each and every of the time, so I had the modern-day information and became able to skip effortlessly. Very appropriate exam training


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A robot scientist will dream up novel materials to foster computing and fight pollution | killexams.com real questions and Pass4sure dumps

In a laboratory that overlooks a sedulous shopping street in Cambridge, Massachusetts, a robot is attempting to create novel materials.

A robot arm dips a pipette into a dish and transfers a tiny amount of intellectual liquid into one of many receptacles sitting in front of another machine. When each and every the samples are ready, the second machine tests their optical properties, and the results are fed to a computer that controls the arm. Software analyzes the results of these experiments, formulates a few hypotheses, and then starts the process over again. Humans are barely required.

The setup, developed by a startup called Kebotix, hints at how machine learning and robotic automation may subsist poised to revolutionize materials science in coming years. The company believes it may find novel compounds that could, among other things, absorb pollution, combat drug-resistant fungal infections, and serve as more efficient optoelectronic components. The company’s software learns from 3-D models of molecules with known properties.

Software algorithms are already used to design chemical compounds and materials, but the process is leisurely and crude. Usually, a machine simply tests slight variations of a material, blindly searching for a viable novel creation. Machine learning and robotics could create the process much faster and more effective. Kebotix is one of several startups working on this idea.

The goal is to exercise machine learning to generate candidate materials. “Discovery is too slow,” says Jill Becker, CEO of Kebotix. “You indulge in an plan for a material, you try to create it, and you test it. Few ideas are tested, with even fewer results.”

The founders of Kebotix: Alán Aspuru-Guzik, Dennis Sheberla, Jill Becker, Semion Saikin, and Christoph Kreisbeck.

Courtesy of Kebotix

Kebotix uses several machine-learning methods to design novel chemical compounds. The company feeds molecular models of compounds with desirable properties into a type of neural network that learns a statistical representation of those properties. This algorithm can then arrive up with novel examples that apt the selfsame model.

Kebotix besides uses another network to weed out designs that stray too far from the original and are therefore likely to subsist useless. Then the company’s robotic system tests the remaining chemical structures. The results of those experiments can subsist fed back into the machine-learning pipeline, helping it obtain closer to the desired chemical properties. The company dubs the overall system a “self-driving lab.”

Christoph Kreisbeck, the company’s chief product officer, says Kebotix will start out working with molecules for electronic applications and then try to tackle novel polymers and alloys.

“The AI predicts and plans what to attain next; the robot automation system very rapidly tests their novel molecule,” Kreisbeck says. “The machine can learn from the database and create a better conclusion for the next round.”

Kebotix was founded by researchers working in the Harvard lab of Alán Aspuru-Guzik, who left Harvard earlier this year to build at lab at the University of Toronto in Canada. Kebotix, which is based at MIT’s incubator The Engine, recently received $5 million in seed funding. The investment round was led by One Way Ventures, an investment firm that specializes in funding immigrant entrepreneurs. each and every of Kebotix’s founding team members are immigrants to the US.

Klavs Jensen, a professor of materials science and engineering at MIT, leads a lab that’s developing automated approaches to devising useful novel chemicals, including methods that combine machine learning and robotics. He says the tangle is that such methods tend to require huge quantities of data, which is generally time consuming and difficult to collect. This besides becomes more challenging as the materials obtain more complicated. “You can definitely attain a lot,” Jensen says. “But relish anything else, it’s about the property of the data.”

Jensen says that automation, already commonplace in the pharmaceutical industry, will become increasingly considerable in materials research. “It won’t supplant the expert,” he says, “but you’ll subsist able to attain things a lot faster.”


You Already Email relish a Robot — Why Not Automate It? | killexams.com real questions and Pass4sure dumps

In 1996, Microsoft unleashed Clippit, better known as Clippy, on users of Microsoft Office. The legendarily irritating mascot-helper spent the following years hovering around the edges of documents, blinking dumbly under his lascivious eyebrows and blurting out, “It looks relish you’re writing a letter,” until he was sidelined by the company in 2001, officially recognized as a mistake. Clippy’s problems were manifold. He announced his presence, via a personified avatar, to recount us something that they already knew (or that should indulge in been obvious in the first place) and then proudly offered us microscopic in the way of actual help. He sat and watched us and scholarly nothing, and repeated himself. He said too much and did too little.

Nevertheless, over 20 years later, the spawn of Clippy are hiding everywhere, guessing what we’re trying to attain and offering to help. But Clippy’s successors are doing their best to avoid his mistakes. Most of the time they are faceless, and if they speak, they attain so in a disembodied but humanlike voice. They tend to wait to subsist asked for help, rather than telling us what they contemplate they know unprompted. And when they attain proffer help, they tend to subsist more subtle, more accurate or both. They indulge in perhaps more in common with Clippy’s unassuming partners, relish Spelling and Grammar Check or AutoCorrect, which spoke through red underlines or small actions carried out on reasonable assumptions (who would intentionally type “teh”?). These tools indulge in followed us and their clumsy fingers to their novel smartphones, where they indulge in become both more assertive and more useful, correcting us and only occasionally requiring us to redress them back, and learning each and every the while.

What does the tech industry want to assist us with now? Email. If you exercise Gmail, you’ve probably interacted with either Smart Reply or Smart Compose, whether or not you know them by name. Google introduced Smart Reply in 2015, and Smart Compose began rolling out this year. Both, in execution, are self-explanatory. Smart Reply suggests canned responses to inbound emails, based on the company’s best guess at what most emailers might subsist about to type. The suggestions are short, peppy and often adequate, at least as a start. Sometimes their tone prompts unhappy realizations about what Gmail sees in us. The frequency with which they exercise exclamation marks emphasizes just how peculiar the language of professional email communication has become (“Sounds great!” “Very cool!” “Love it!”). Smart Compose, in contrast, offers word and phrase suggestions, based on similar judgments, as the user types in real time. You write “Take a look,” and ghostly text might show to its right: “and let me know what you think.” Its assumptions are more personalized, and they feel that way because it is constantly, visibly, guessing what you’re thinking.

Smart Compose and Smart Reply are, at their core, artificial-intelligence technologies: They are programmed to accomplish tasks, but besides to adapt. To start, Smart Reply was trained on publicly available bodies of email text. (Among the most widely used for such projects is the cache of some 500,000 emails collected during the discovery aspect of the Enron investigation.) “What makes machine learning different from regular programming is you peep at corpuses of data to create guesses about things,” says Paul Lambert, a product manager for Gmail. “You create a model.”


Ahold ups stakes in U.S. grocery war with mini-'robot supermarkets' | killexams.com real questions and Pass4sure dumps

EINDHOVEN, Netherlands/NEW YORK (Reuters) - Grocery group Ahold Delhaize will roll out small, automated warehouses to speed order picking and nick delivery times, Reuters has learned, as it revamps its ecommerce business in response to rising competition in a fast-growing sector.

A grocery property control worker is seen inside a Peapod grocery distribution warehouse facility in Jersey City, novel Jersey, U.S. August 21, 2018. REUTERS/Mike Segar

At an investor event on Nov. 13, the world’s eighth biggest food retailer is set to showcase a partnership that will allow it to automate order collection at mini “robot supermarkets” attached to the stores of its U.S. chains relish Stop & Shop.

That marks a departure from its previous strategy of relying more on manual labor at bigger warehouses, or on a blend of man and machine, to meet online food orders.

Now Netherlands-based Ahold Delhaize is teaming up with Takeoff, a start-up which builds small warehouses that stack groceries to the ceiling to rescue space and exercise robot arms to assemble shoppers’ orders for items such as beer, milk, bread and fruit.

The warehouses serve as condensed supermarkets that can supply several stores with click-and-collect orders. They cost about $3 million to build, which Takeoff says is less than the cost of a typical store revamp.

“Ahold is preparing for a major push,” Curt Avallone, Takeoff’s chief progress officer who led digital innovation at Stop & Shop until 2003, told Reuters.

“If it goes well, both from their side and their side, the hope is they would rapidly subsist able to build quite a few.”

Ahold Chief Executive Frans Muller confirmed the deal on Wednesday and said it should aid expand online faster and at a lower cost than with standalone warehouses.

“With the robotized solution they can optimize those picking costs and subsist closer with micro fulfillment to their catchment areas. They besides reduce the cost of the ultimate mile,” he said.

Ahold’s shares jumped 5 percent on Wednesday as it reported third-quarter results that beat analysts’ forecasts, lifted by strong online sales and growth in its key markets.

GRAPHIC: Online grocery set to grow speedy - tmsnrt.rs/2Cz1wVK

ONLINE GROCERY WAR

Ahold’s meander is the latest salvo in a war for the online grocery market that has escalated since Amazon’s takeover of Whole Foods ultimate year. Whole Foods since launched same-day grocery delivery with Amazon’s Prime Now in more than 60 cities. Other retailers are besides racing to respond: Walmart will test Alert Innovation’s Alphabot automated grocery picking at a store in novel Hampshire, and Kroger has teamed up with British online grocery expert Ocado.

Kroger said it will disclose the location for the first three U.S. sites out of a planned 20 high-tech Ocado warehouses in the next pair of weeks. They will win about two years to build and each cost Ocado about $39 million.

Ahold Delhaize, the operator of U.S. chains such as Giant Food, Food Lion and Hannaford, acquired Chicago-based online grocer Peapod in 2000 which is still the market leader.

However, growth has slowed at Peapod since Amazon bought Whole Foods and as supermarkets — including Ahold’s own chains relish Stop & Shop — team up with start-ups relish Instacart to proffer curbside pick-up, or one- to two-hour delivery.

Ahold reported U.S. online sales growth picked up in the third quarter, but Muller said he was still not contented with that.

HAND TO MOUTH

Until now, Ahold’s strategy has been largely manual. At its warehouses, known as “dark stores”, pickers grab items from shelves and achieve them into crates for packaging and delivery.

Ahold Delhaize has decades of sustain in delivering groceries to people’s homes, starting in the Netherlands in 1986 when its Albert Heijn chain took orders by phone or fax.

At one Albert Heijn warehouse outside the Dutch city of Eindhoven, pickers each grab an medium of one product every 10 seconds, walking about 4.5 km a day. Algorithms work out the shortest path through the aisles, and try to minimize trolley congestion.

Pawel Kamienczuk, a 28-year-old order picker from Poland, sweats as he races down an aisle, trying to meet a target of 380 items an hour.

“At the beginning, it took time to obtain used to it, but now I don’t feel tired,” he said.

Kamienczuk wears a device relish a smartphone on his wrist which tells him where to depart and which items to grab next.

He scans each product with a device mounted on his forefinger and puts it into one of 18 blue crates stacked on a big trolley.

Albert Heijn warehouses can pick and pack 135-140 units per labor hour, lower than Kamienczuk’s rate because it takes into account work done by others to unload supplies, stack shelves, assemble orders and pack delivery vans.

The design is besides less than the 163 units Ocado reported for the first half of 2018, but analysts instruct it is impressive given than Albert Heijn’s capital outlay for its centers is a fraction of the cost of Ocado’s automated warehouses.

Efficiency is key at a time when labor costs are rising in the United States and Europe.

The Dutch jobless rate is at an 18-year low and U.S. unemployment is around the lowest in five decades, wage pressures are rising and companies are increasingly complaining about a scarcity of workers.

Last month, Amazon said it would raise the minimum wage for U.S. workers to $15 an hour, in section to attract staff.

At Ahold’s Peapod warehouse in Jersey City, pickers who start on about $12 per hour with benefits can create up to $3.50 an hour extra if they beat speed targets, but they are besides closely monitored for quality: a dented tin could count a refund.

“When they shop, they indulge in many people that check after us,” said Amal, an expert “shopper” who specializes in selecting bananas, Peapod’s top selling product.

The Peapod warehouse in novel Jersey is the firm’s biggest and most sophisticated to date in terms of automation.

There, crates meander along conveyer belts to teams of pickers who focus on different food categories, while robots add non-food items relish shampoo. Peapod does not share pick times.

Despite the automation, Peapod employs 825 people here, working two shifts from 5 a.m. until 2 p.m. and from 5 p.m. until 2 a.m. in a warehouse with seven temperature zones.

NEXT DAY VERSUS selfsame DAY

Peapod has only offered next-day delivery so far. The partnership with Takeoff will enable the group to proffer same-day delivery, or click-and-collect, initially to customers animate near a pilot warehouse at a Shop & Stop in Connecticut.

Avallone declined to remark on the financials of the Ahold deal, but said Takeoff should subsist able to roll out the concept quickly as it takes 16-20 weeks to set up its 10,000 square foot warehouses, which can wield up to $50 million in annual sales.

That contrasts with Ocado’s newest facility in Britain, which is a 563,000 square foot site, with a potential annual turnover of 1.2 billion pounds ($1.55 billion).

The U.S. grocery ecommerce market is still in its infancy at just 1.6 percent of sales, but it is expected to more than double by 2023, according to industry research group IGD.

Slideshow (11 Images)

Ahold, which makes almost two thirds of its sales in the United States, wants to boost ecommerce sales to 5 billion euros ($5.8 billion) by 2020, or about 8 percent of total turnover, from 2.8 billion in 2017. It will update that target next week.

Its U.S. online sales should near $1 billion by the finish of the year as it creates a shared ecommerce infrastructure for each and every of its store-based brands, along with its online grocery site Peapod, Muller said in August.

($1 = 0.7671 pounds)

Additional reporting by Lisa Baertlein in Los Angeles; Anthony Deutsch, Toby Sterling and Bart Meijer in Amsterdam; Piotr Lipinski, Zuzanna Szymanska and Pawel Goraj in Gdynia; James Davey in London; Editing by Mike Collett-White



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