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The IBM accomplice World accomplice-concentrated event is for IBM’s oblique channel of companies that buy what IBM and other organizations fabricate and construct options, predominantly for the mid-market. IBM’s accomplice application is impressively giant and, for a time, after I worked at IBM, i used to be missioned (along with a number of others) to repair several of the problems that the hard then had during this enviornment. it is charming to observe that a lot of those very problems survived into this decade however I left the enterprise a long time in the past, showcasing how intricate they had been to resolve.
nowadays’s associate application is vastly improved, and it enjoys direct aid from the top of IBM. responsibility silent isn’t pattern nonetheless it is more advantageous from the advanced matrix mess my historical team turned into attempting to deal with. returned then, I concluded that key problems couldn’t be fixed as a result of most of their time changed into spent enjoying whack a mole with issues that came up quicker than they could pound them down. today’s IBM accomplice software is much more desirable sprint and it is set to obtain an Awful lot more desirable.
magnitude of companions
partners are a drive multiplier. With a fraction of the staff required for an instantaneous channel, a company can preserve a community of partners that can office independently, fabricate their personal investments to help their capabilities, and sometimes emulate or even exceed direct channel efforts related to completing complicated focused projects principally in the mid to wee enterprise markets where direct earnings forces don’t scale well. nevertheless, partners can be fickle and shift between host carriers very immediately in response to incentives, help, or different opportunities, so driving loyalty turns into incredibly vital.
The problems linked to confederate courses consist of conflicts between companions and with the company’s direct channel, reconciling commissions when you've got blended deals or an instantaneous revenue rep in the identical account a accomplice functions, assuring the partners’ employees are adequately knowledgeable, maintaining first-rate within the channel, and assuring the partners aren’t at a significant drawback against direct channel efforts. here's on first-rate of the necessity to instrument the companions to assure the integrity of the enterprise’s choices though the alterations that every enterprise goes through (each the host enterprise and the individual companions) and fabricate positive that neither aspect takes talents of the different.
IBM confederate World Execution
well-run accomplice pursuits are sometimes nearer to revival conferences in terms of energy and focal point. whereas I didn’t remark that degree of power at the IBM event, it changed into tightly concentrated on the companions’ needs and proposing examples of success and perception into IBM’s original product bulletins. I bought the suffer that this may be one of the most early locations the situation IBM’s AI paraphernalia should be deployed to provide a stage of tips to the partners at a granularity and scale that simply aren’t reasonably priced with human group of workers.
Examples of those AI equipment, mostly in keeping with IBM Watson, had been evident complete over the IBM keynote and there acquire been examples displaying that the americans who used them weren’t even conscious they had been talking to a computing device. i was instructed that IBM would shortly be rolling out an AI-based mostly relationship paraphernalia that might vigorous companions with every different for complicated offers. With a abysmal getting to know AI, this couldn't simplest vigorous these partners by using odds however by means of personality and finally even argue groups in the respective corporations that may most useful labor with each other. This sort of granular matching, in theory, might create dynamic teams between associate companies to rapidly build organizations that could tackle tangled consumer problems throughout world geographies. This became just one of the techniques IBM’s Watson know-how may fabricate IBM itself much more competitive with respect to buying, conserving and boosting the revenues and effectiveness of its confederate network.
Wrapping Up: Working with companions and Staffing companions
associate classes are very intricate to control. i was impressed with IBM’s executive group running the cataclysm and particularly with one government, Rose Nunez, who changed into riding much of the astonishing progress into the program. if they execute towards the plans, their application may be the one to beat and rotate into a high-quality reference for the pass whatever fancy this should silent be accomplished.
one of the crucial different things that IBM is doing, and announced later, might moreover vastly beef up confederate efforts. one of the most enjoyable become IBM’s P-Tech program, which begins taking a observe at candidates in ninth grade and drives college students into funded flow and expertise courses. These students then recede out into the market working at IBM and companion firms to fill the huge variety of unfilled expertise jobs global. They even acquire their new-collar schooling programs, which are actually concentrated on bringing tech workers who left tech returned into the fold and giving veterans the abilities they should be successful at IBM and with IBM companions.
Rob Enderle is President and essential Analyst of the Enderle group, a ahead-looking rising technology advisory company. With over 30 years’ journey in rising applied sciences, he has offered regional and world organizations with tips in how to better target customer wants; create original trade alternatives; anticipate technology alterations; choose carriers and products; and existing their items within the absolute best mild. Rob covers the expertise trade largely. earlier than founding the Enderle group, Rob changed into the Senior analysis Fellow for Forrester research and the Giga counsel neighborhood, and held senior positions at IBM and ROLM. comply with Rob on Twitter @enderle, on facebook and on Google+
John Teltsch (IBM)credit score: IBM
IBM has revealed a string of recent channel initiatives and investments as it seeks to construct key companion information and alternatives in the yr ahead.
Unveiled during PartnerWorld at believe in San Francisco, great Blue rolled out original initiatives together with its Watson-based mostly collaboration engine known as IBM company associate join; My PartnerWorld; original utility deal registration and IBM energy methods, LinuxONE and Z ‘In It to Win It’ incentives.
On first-rate of this, the dealer moreover distinctive the pass it changed into further investing in companion odds and enablement, in addition to riding multiply opportunities in market segments similar to safety and hybrid cloud.
in particular, IBM enterprise associate combine makes a speciality of assisting partners faucet into the world ecosystem to collaborate on customer alternatives, multiply original trade and convey original options to market.
meanwhile, the Watson-based engine will permit companions with complementary capabilities to find each and every different, obtain to market quicker and promote extra collectively, in accordance with John Teltsch, well-known manager of partner ecosystem at IBM.
My PartnerWorld, set to launch on 15 February, goals to present a personalized on-boarding and enablement journey, giving companions the possibility to control PartnerWorld tools and shortcuts in one area. This includes My earnings pastime (MySA), the PartnerWorld Console, Co-advertising Centre and enterprise associate connect platform.
additionally the original application deal registration will present companions with precedence access to particular bid pricing with a purpose to in the reduction of contest between know-how suppliers while improving fiscal consequences.
Teltsch added this turned into partake of the seller's ongoing transformation efforts, which it kicked off ultimate yr, to help associate suffer and profitability, including projects around channel pricing, incentives and streamlined resale authorisation.
In April closing yr, stout Blue, restructured its accomplice engagement models throughout the channel.
additionally, the IBM vigour techniques, LinuxONE and Z 'In It to Win It' incentives acquire now been made accessible to companions, which moreover extends the motivation for IBM storage into 2019, together with deploying original exact era strategies to power unique leads.
On exact of those original initiatives, the supplier is moreover launching an ESA co-marketing offering for partners embedding IBM technology, and across third-birthday party marketplaces, besides improving its digital APIs amid plans to double the variety of digital offerings.
"We continue to support partners on their suffer to SaaS, with more than 400 as-a-service choices, coupled with original demos, trials and incentives to accelerate increase,” Teltsch mentioned.
IBM has moreover launched SaaS deal registration and P360, which is a device allowing partners to peer their client’s analytics.
companion talents and enablement
Delving deeper, IBM moreover showcased its original sales enablement solution, Seismic@IBM, a device that points sales kits, performs, presentations, employ circumstances and other property.
The value kit assist bundle is additionally being extended into edition 2.0, whereby companions can double their IBM cloud credits; supply access to a construction sandbox ambiance; entry discount vouchers for select schooling activities and further subscription discounts.
consequently, Teltsch mentioned it was moreover doubling the variety of paraphernalia channel technical sellers to support partners within the container.
Going ahead, a brand original managed functions safety provider software (MSSP) aims to succor partners build protection practices and bring solutions in either an embedded or reseller mannequin.
A ‘comprehend Your IBM’ safety sales incentive will serve up reloadable IBM Rewards debit playing cards to companions who sell original security licenses and SaaS.
Teltsch referred to it has additionally enabled partners to build ‘Cloud Paks,’ which can be business-grade container utility programs with counsel and step-via-step guidance for companions to without retard build with open requirements on the pass to permit hybrid and multi-cloud deployments.
“built for Kubernetes on the IBM Cloud and IBM Cloud inner most, IBM Cloud Paks are designed to quicken up time to construction and multiply readiness at reduce can permeate than containers alone,” he explained.
moreover, a brand original Cloud Digital Technical engagement application will give partners with access to technical belongings concentrated on product demos and tutorials.
“These belongings provide a abysmal knowing of product choices and how they can succor customers along their suffer to Cloud and AI," Teltsch delivered. "Our original Seismic@IBM will consist of a link to this Cloud Digital Technical engagement program so companions can effortlessly entry this crucial counsel whereas getting ready for customer engagements."
according to Teltsch, the original initiatives and investments acquire been a response to the "continual comments" from companions and purchasers.
Teltsch revealed that during the previous yr, partners had doubled their variety of expert and knowledgeable potential across its technology stack.
“We’ve additionally viewed stout momentum in the variety of partners constructing their competencies and promoting options in strategic areas fancy IBM security, Cloud, IoT and Watson AI, with their second Watson build problem producing more than 500 AI solutions and prototypes that sprint on the IBM Cloud,” Teltsch noted.
during its fourth quarter effects, stout Blue mentioned that its cloud company, grew 12 per cent to US$19.2 billion in 2018.
additionally, the company's cognitive software company, including its artificial intelligence platform Watson, analytics and cyber protection functions and is its 2d biggest, said sales of US$5.forty six billion, compared with analysts' expectation of US$5.25 billion.
Julia Talevski attended PartnerWorld at mediate in San Francisco as a guest of IBMbe partake of the newsletter!
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In September 2018, IBM introduced a original product, IBM Db2 AI for z/OS. This synthetic intelligence engine monitors facts entry patterns from executing SQL statements, uses computer discovering algorithms to choose most usurp patterns and passes this guidance to the Db2 query optimizer to be used with the aid of subsequent statements.machine learning on the IBM z Platform
In can moreover of 2018, IBM announced version 1.2 of its laptop getting to know for z/OS (MLz) product. this is a hybrid zServer and cloud utility suite that ingests efficiency facts, analyzes and builds fashions that symbolize the health fame of quite a few warning signs, monitors them over time and offers real-time scoring capabilities.
a couple of aspects of this product offering are geared toward supporting a neighborhood of model developers and executives. for instance:
This computing device discovering suite was at the beginning geared toward zServer-based mostly analytics purposes. one of the vital first obvious decisions become zSystem performance monitoring and tuning. system management Facility (SMF) information that are instantly generated by pass of the working system give the raw facts for paraphernalia useful resource consumption reminiscent of imperative processor utilization, I/O processing, remembrance paging and so on. IBM MLz can bring together and save these data over time, and construct and instruct models of paraphernalia conduct, ranking those behaviors, identify patterns not effectively foreseen by humans, help key efficiency warning signs (KPIs) after which feed the mannequin outcomes lower back into the device to influence paraphernalia configuration adjustments that may enrich performance.
The subsequent step changed into to situation into result this suite to investigate Db2 performance statistics. One answer, known as the IBM Db2 IT Operational Analytics (Db2 ITOA) solution template, applies the machine studying expertise to Db2 operational information to gain an realizing of Db2 subsystem fitness. it could possibly dynamically construct baselines for key efficiency indications, give a dashboard of those KPIs and provides operational carcass of workers real-time perception into Db2 operations.
whereas widely wide-spread Db2 subsystem performance is a vital factor in routine software health and performance, IBM estimates that the DBA succor team of workers spends 25% or more of its time, " ... combating access direction issues which trigger efficiency degradation and service influence.". (See Reference 1).AI comes to Db2
believe the plight of up to date DBAs in a Db2 atmosphere. In present day IT world they must succor one or greater huge data purposes, cloud software and database services, application setting up and configuration, Db2 subsystem and software performance tuning, database definition and management, catastrophe restoration planning, and greater. question tuning has been in actuality considering the fact that the origins of the database, and DBAs are continually tasked with this as smartly.
The heart of query course analysis in Db2 is the Optimizer. It accepts SQL statements from functions, verifies authority to access the facts, studies the areas of the objects to be accessed and develops a listing of candidate records entry paths. These entry paths can encompass indexes, table scans, a variety of table be partake of strategies and others. within the information warehouse and massive information environments there are continually extra selections accessible. One of those is the actuality of abstract tables (now and again called materialized query tables) that comprise pre-summarized or aggregated facts, for this understanding enabling Db2 to steer lucid of re-aggregation processing. one more option is the starjoin entry direction, incurious within the facts warehouse, the situation the order of table joins is modified for efficiency factors.
The Optimizer then stories the candidate access paths and chooses the entry route, "with the lowest charge." permeate during this context capacity a weighted summation of resource usage including CPU, I/O, remembrance and different components. eventually, the Optimizer takes the bottom can permeate entry route, shops it in remembrance (and, optionally, in the Db2 listing) and starts access direction execution.
huge statistics and statistics warehouse operations now encompass software suites that enable the company analyst to employ a graphical interface to construct and exploit a miniature information model of the data they wish to analyze. The packages then generate SQL statements based on the clients’ requests.
The issue for the DBA
with a view to enact first rate analytics in your several information shops you necessity a imposing knowing of the facts requirements, an knowing of the analytical functions and algorithms available and a high-efficiency facts infrastructure. lamentably, the quantity and placement of records sources is expanding (each in size and in geography), facts sizes are growing to be, and purposes proceed to proliferate in quantity and complexity. How should silent IT managers succor this environment, peculiarly with probably the most experienced and ripen personnel nearing retirement?
take into account moreover that a huge a partake of decreasing the entire permeate of possession of these techniques is to obtain Db2 applications to sprint faster and greater effectively. This usually interprets into the usage of fewer CPU cycles, doing fewer I/Os and transporting less facts across the network. in view that it is commonly complicated to even identify which applications might improvement from efficiency tuning, one strategy is to automate the detection and correction of tuning considerations. here's the situation desktop studying and artificial intelligence will moreover be used to tremendous effect.Db2 12 for z/OS and synthetic Intelligence
Db2 edition 12 on z/OS uses the desktop getting to know amenities mentioned above to acquire and save SQL question text and access path particulars, in addition to actual performance-related historical assistance akin to CPU time used, elapsed times and result set sizes. This providing, described as Db2 AI for z/OS, analyzes and shops the data in computer researching fashions, with the mannequin evaluation results then being scored and made attainable to the Db2 Optimizer. The subsequent time a scored SQL observation is encountered, the Optimizer can then employ the mannequin scoring facts as enter to its access path alternative algorithm.
The result should silent be a reduction in CPU consumption as the Optimizer uses mannequin scoring input to opt for superior access paths. This then lowers CPU costs and speeds application response instances. a major skills is that the employ of AI application doesn't require the DBA to acquire statistics science potential or abysmal insights into query tuning methodologies. The Optimizer now chooses the most beneficial access paths based mostly now not most efficacious on SQL query syntax and statistics distribution statistics however on modelled and scored historic efficiency.
This can be peculiarly crucial if you store records in diverse areas. for instance, many analytical queries towards stout records require concurrent access to inevitable statistics warehouse tables. These tables are commonly referred to as dimension tables, and that they contain the statistics aspects continually used to control subsetting and aggregation. as an instance, in a retail atmosphere accept as first-rate with a table referred to as StoreLocation that enumerates each retain and its location code. Queries towards store revenue statistics may are looking to aggregate or summarize sales via vicinity; hence, the StoreLocation desk could be used by means of some stout data queries. in this atmosphere it's common to buy the dimension tables and copy them consistently to the great records application. in the IBM world this situation is the IBM Db2 Analytics Accelerator (IDAA).
Now suppose about SQL queries from both operational purposes, information warehouse users and massive facts company analysts. From Db2's perspective, complete these queries are equal, and are forwarded to the Optimizer. besides the fact that children, in the case of operational queries and warehouse queries they should undoubtedly be directed to access the StoreLocation table in the warehouse. even so, the question from the company analyst in opposition t stout statistics tables should probably entry the reproduction of the desk there. This outcomes in a proliferations of expertise entry paths, and extra labor for the Optimizer. happily, Db2 AI for z/OS can supply the Optimizer the suggestions it needs to fabricate wise entry route decisions.how it Works
The sequence of pursuits in Db2 AI for z/OS (See Reference 2) is commonly perquisite here:
There are additionally a variety of user interfaces that supply the administrator visibility to the status of the accrued SQL observation performance facts and mannequin scoring.abstract
IBM's desktop discovering for zOS (MLz) offering is getting used to extraordinary repercussion in Db2 version 12 to multiply the performance of analytical queries as well as operational queries and their linked purposes. This requires administration consideration, as you acquire to examine that your enterprise is prepared to devour these ML and AI conclusions. How will you measure the prices and advantages of using desktop researching? Which IT support staff acquire to be tasked to reviewing the result of model scoring, and maybe approving (or overriding) the effects? How will you assessment and justify the assumptions that the utility makes about access path choices?
In other phrases, how well were you alert your records, its distribution, its integrity and your current and proposed access paths? this can verify where the DBAs spend their time in supporting analytics and operational application performance.
# # #
John Campbell, IBM Db2 several EngineerFrom "IBM Db2 AI for z/OS: enhance IBM Db2 application performance with laptop discovering"https://www.worldofdb2.com/activities/ibm-db2-ai-for-z-os-boost-ibm-db2-application-performance-with-ma
Db2 AI for z/OShttps://www.ibm.com/guide/knowledgecenter/en/SSGKMA_1.1.0/src/ai/ai_home.html
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Download Spec SheetRelated Thomas Industry Update
Apr 30, 2012
IBM announced an overall 7% jump in profitability in the first quarter of 2012 over the previous year, but hardware and server revenues lagged. The company's net income for the quarter was $3.1 billion, compared with $2.9 billion in the first quarter of 2011. Total revenues for the first quarter of 2012 of $24.7 billion were flat (up 1%, adjusting for currency) from the first quarter of 2011.
Revenues from the Systems and Technology segment totaled $3.7 billion for the quarter, down 7% from the first quarter of 2011. Systems and Technology pre-tax income decreased $236 million. Revenues from System z mainframe server products decreased 25% compared with the year-ago period. Total delivery of System z computing power, as measured in MIPS (millions of instructions per second), decreased 5%.
Other server lines moreover showed feeble performance in the most recent quarter, IBM reports. Total systems revenues decreased 6 percent. Revenues from Power Systems were flat compared with the 2011 period. Revenues from System x were moreover flat. Revenues from System Storage decreased 4%, and revenues from Retail Store Solutions decreased 13% year over year. Revenues from Microelectronics OEM decreased 13%.
IBM's software lines, however, continued to grow. Revenues from the software segment were $5.6 billion, an multiply of 5% compared with the first quarter of 2011. Revenues from IBM's key middleware products, which embrace WebSphere, Information Management, Tivoli, Lotus and Rational products, were $3.5 billion, an multiply of 7% versus the first quarter of 2011. Operating systems revenues of $590 million increased 9% compared with the prior-year quarter.
Revenues from the WebSphere family of software products increased 16% year over year. Information Management software revenues increased 5%. Revenues from Tivoli software increased 5%. Revenues from Lotus software were flat, and Rational software increased 1%.
Revenues from the company's trade analytics operations across services, software and hardware segments increased 14%.
Ginni Rometty, IBM president and chief executive officer, was bullish on the company's overall prospects: "In the first quarter, they delivered another excellent software performance, expanded services margins, and continued the momentum in their growth initiatives," she said in a prepared statement. "Our investments in growth market countries continued to generate sturdy revenue growth across software, hardware and services while contributing to the company's ongoing margin expansion."
Global Technology Services segment revenues increased 2% to $10.0 billion. Global trade Services segment revenues were down 2% to $4.6 billion.
For more information, visit the IBM website at www.ibm.com.
This press release was orginally distributed by SBWire
Maharashtra, India -- (SBWIRE) -- 02/18/2019 -- IoT sensors Market
Reports Monitor presented a original industry research that focuses on IoT sensors market and delivers in-depth market analysis and future prospects of IoT sensors market. The study covers vital information which makes the research document a handy resource for managers, analysts, industry experts and other key people obtain ready-to-access and self-analyzed study along with graphs and tables to assist understand market trends, drivers and market challenges. The study is segmented by, Market forecast trends, latest market analytics, market players, application usage and various valuable geographical dividends.
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For your understanding and application wise distribution, the consumption figures are moreover given. With the valuable data of supply and consumption the gap between both the parameters is explained in detail. It moreover provides a particular overview of the competitive landscape and moreover analysis the vulgar market landscape. It moreover studies the sales, production revenue market charge moreover the import and export value and the trending section of the IoT sensors market report.
The research covers the current market size of the Global IoT sensors Market. This market can be split based on Major Players, product types and major applications.
Top manufacturers, with production, price, revenue (value) and market partake for each manufacturer; the top players including such as Sierra Wireless, Inc., Moxa Inc., generic ELECTRIC, Skyworks Solution Inc., Infineon Technologies AG, Honeywell International Inc., Texas Instruments Incorporated, Siemens Healthcare GmbH, CANON MEDICAL SYSTEMS CORPORATION, NXP Semiconductors, STMicroelectronics, IBM, Sensata Technologies, Inc.
IoT sensors Market On the basis of product, this report displays the production, revenue, price, market partake and growth rate of each type, primarily split into By Sensor ilk [Pressure Sensors, Temperature Sensors, Humidity Sensors, flood Sensors, Accelerometers, Gyroscopes, Proximity Sensors, finger Sensors, Acoustic Sensors, Motion Sensors, Magnetometers, Image Sensors, Inertial Sensors, Occupancy Sensors (Image Processing Occupancy Sensors, brilliant Occupancy Sensors), Light Sensors & RADAR Sensors and CO2 Sensors], Technology [Wired (Modbus, Ethernet, Lonworks, KNX, Digital Addressable Lighting Interface (DALI) and Wireless (Wi-Fi, Bluetooth, RFID, ZigBee, NFC, 6lowpan, Wireless-Hart (Whart), Z-Wave, Process territory Bus (Profibus), Dect-Ule, Thread, Enocean and Others].
IoT sensors market On the basis on the quit users/applications, this report focuses on the status and outlook for major applications/end users, sales volume, market partake and growth rate for each application, including Vertical [Industrial (Industrial Automation, Healthcare, Transportation, Smart Agriculture, Energy), Commercial (Retail, Aerospace & Defence, Logistics & Supply Chain, Corporate Offices, pecuniary Institutes and Entertainment), and Consumer (Wearable Electronics, Home Automation and Smart City)].
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All aspects of the IoT sensors industry report are quantitatively as well as qualitatively assessed to study the Global as well as regional market comparatively. The basic information such as the definition, prevalent chain and the government regulations pertaining to the IoT sensors market are moreover discussed in the report.
Some points from TOC:1. Global IoT sensors Market Size (Sales Volume) Comparison by Type2. Global IoT sensors Market Size (Sales Volume) Market partake by ilk (Product Category) in 20193. Global IoT sensors Market Size (Value) Comparison by Region4. Global IoT sensors Market Competition by Players/Suppliers5. Global IoT sensors Sales (Volume) and Revenue (Value) by ilk (Product Category)6. Global IoT sensors Players/Suppliers Profiles and Sales Data7. IoT sensors Manufacturing Cost Analysis8. Industrial Chain, Sourcing Strategy and Downstream Buyers9. Global IoT sensors Market Size (Value and Volume) Forecast
Full Report of IoT sensors Market @ https://www.reportsmonitor.com/report/337098/North-America-IoT-sensors-Market
Key questions answered in the report include:
What will be the market size and the growth rate by the quit of the forecast period?What are the key factors driving the growth of the global IoT sensors market?What are the key market trends impacting the growth of the market?What are the challenges to the market growth?Who are the leading competitors operating in the global IoT sensors market?What are the latest products launched by the leading competitors in the market?
Thanks for reading this article; you can moreover obtain individual chapter wise section or region wise report version fancy Asia, United States, Europe.
About Reports MonitorReports Monitor is a market research and consulting company that provides syndicated research reports, customized research reports, and consulting services. To succor clients fabricate informed trade decisions, they present market intelligence studies ensuring apposite and fact-based research across a gain of industries including Healthcare, Technology, Chemicals, Materials, and Energy. With an intrinsic understanding of many trade environments, Reports Monitor provides strategic objective insights.
For more information on this press release visit: http://www.sbwire.com/press-releases/iot-sensors-market-report-2019-growing-at-a-maximum-cagr-of-371-during-2019-2026-sierra-wireless-moxa-general-electric-skyworks-solution-etc-1147104.htm
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