Build more accurate forecasts with new capabilities in automated machine learning

We are excited to announce new capabilities which are apart of time-series forecasting in Azure Machine Learning service. We launched preview of forecasting in December 2018, and we have been excited with the strong customer interest. We listened to our customers and appreciate all the feedback. Your responses helped us reach this milestone. Thank you.

Featured image, general availability for Automated Machine Learning Time Series Forecasting

Building forecasts is an integral part of any business, whether it’s revenue, inventory, sales, or customer demand. Building machine learning models is time-consuming and complex with many factors to consider, such as iterating through algorithms, tuning your hyperparameters and feature engineering. These choices multiply with time series data, with additional considerations of trends, seasonality, holidays and effectively splitting training data.

Forecasting within automated machine learning (ML) now includes new capabilities that improve the accuracy and performance of our recommended models:

  • New forecast function
  • Rolling-origin cross validation
  • Configurable Lags
  • Rolling window aggregate features
  • Holiday detection and featurization

Expanded forecast function

We are introducing a new way to retrieve prediction values for the forecast task type. When dealing with time series data, several distinct scenarios arise at prediction time that require more careful consideration. For example, are you able to re-train the model for each forecast? Do you have the forecast drivers for the future? How can you forecast when you have a gap in historical data? The new forecast function can handle all these scenarios.

Let’s take a closer look at common configurations of train and prediction data scenarios, when using the new forecasting function. For automated ML the forecast origin is defined as the point when the prediction of forecast values should begin. The forecast horizon is how far out the prediction should go into the future.

In many cases training and prediction do not have any gaps in time. This is the ideal because the model is trained on the freshest available data. We recommend you set your forecast this way if your prediction interval allows time to retrain, for example in more fixed data situations such as financial forecasts rate or supply chain applications using historical revenue or known order volumes.

Ideal use case when training and prediction data have no gaps in time.

When forecasting you may know future values ahead of time. These values act as contextual information that can greatly improve the accuracy of the forecast. For example, the price of a grocery item is known weeks in advance, which strongly influences the “sales” target variable. Another example is when you are running what-if analyses, experimenting with future values of drivers like foreign exchange rates. In these scenarios the forecast interface lets you specify forecast drivers describing time periods for which you want the forecasts (Xfuture). 

If train and prediction data have a gap in time, the trained model becomes stale. For example, in high-frequency applications like IoT it is impractical to retrain the model constantly, due to high velocity of change from sensors with dependencies on other devices or external factors e.g. weather. You can provide prediction context with recent values of the target (ypast) and the drivers (Xpast) to improve the forecast. The forecast function will gracefully handle the gap, imputing values from training and prediction context where necessary.

Using contextual data to assist forecast when training and prediction data have gaps in time.

In other scenarios, such as sales, revenue, or customer retention, you may not have contextual information available for future time periods. In these cases, the forecast function supports making zero-assumption forecasts out to a “destination” time. The forecast destination is the end point of the forecast horizon. The model maximum horizon is the number of periods the model was trained to forecast and may limit the forecast horizon length.

Use case when no gap in time exists between training and prediction data and no contextual data is available.

The forecast model enriches the input data (e.g. adds holiday features) and imputes missing values. The enriched and imputed data are returned with the forecast.

Notebook examples for sales forecast, bike demand and energy forecast can be found on GitHub.

Rolling-origin cross validation

Cross-validation (CV) is a vital procedure for estimating and reducing out-of-sample error for a model. For time series data we need to ensure training only occurs using values to the past of the test data. Partitioning the data without regard to time does not match how data becomes available in production, and can lead to incorrect estimates of the forecaster’s generalization error.

To ensure correct evaluation, we added rolling-origin cross validation (ROCV) as the standard method to evaluate machine learning models on time series data. It divides the series into training and validation data using an origin time point. Sliding the origin in time generates the cross-validation folds.

As an example, when we do not use ROCV, consider a hypothetical time-series containing 40 observations. Suppose the task is to train a model that forecasts the series up-to four time-points into the future. A standard 10-fold cross validation (CV) strategy is shown in the image below. The y-axis in the image delineates the CV folds that will be made while the colors distinguish training points (blue) from validation points (orange). In the 10-fold example below, notice how folds one through nine result in model training on dates future to be included the validation set resulting inaccurate training and validation results.

Cross validation showing training points spread across folds and distributed across time points causing data leakage in validation

This scenario should be avoided for time-series instead, when we use an ROCV strategy as shown below, we preserve the time series data integrity and eliminate the risk of data leakage.

Rolling-Origin Cross Validation (ROCV) showing training points distributed on each fold at the end of the time period to eliminate data leakage during validation

ROCV is used automatically for forecasting. You simply pass the training and validation data together and set the number of cross validation folds. Automated machine learning (ML) will use the time column and grain columns you have defined in your experiment to split the data in a way that respects time horizons. Automated ML will also retrain the selected model on the combined train and validation set to make use of the most recent and thus most informative data, which under the rolling-origin splitting method ends up in the validation set.

Lags and rolling window aggregates

Often the best information a forecaster can have is the recent value of the target. Creating lags and cumulative statistics of the target then increases accuracy of your predictions.

In automated ML, you can now specify target lag as a model feature. Adding lag length identifies how many rows to lag based on your time interval. For example, if you wanted to lag by two units of time, you set the lag length parameter to two.

The table below illustrates how a lag length of two would be treated. Green columns are engineered features with lags of sales by one day and two day. The blue arrows indicate how each of the lags are generated by the training data. Not a number (Nan) are created when sample data does not exist for that lag period.

Table illustrating how a lag length og two would be treated

In addition to the lags, there may be situations where you need to add rolling aggregation of data values as features. For example, when predicting energy demand you might add a rolling window feature of three days to account for thermal changes of heated spaces. The table below shows feature engineering that occurs when window aggregation is applied. Columns for minimum, maximum, and sum are generated on a sliding window of three based on the defined settings. Each row has a new calculated feature, in the case of date January 4, 2017 maximum, minimum, and sum values are calculated using temp values for January 1, 2017, January 2, 2017, and January 3, 2017. This window of “three” shifts along to populate data for the remaining rows.

Table showing feature engineering that occurs when window aggregation is applied.

Generating and using these additional features as extra contextual data helps with the accuracy of the trained model. This is all possible by adding a few parameters to your experiment settings.

Holiday features

For many time series scenarios, holidays have a strong influence on how the modeled system behaves. The time before, during, and after a holiday can modify the series’ patterns, especially in scenarios such as sales and product demand. Automated ML will create additional features as input for model training on daily datasets. Each holiday generates a window over your existing dataset that the learner can assign an effect to. With this update, we will support over 2000 holidays in over 110 countries. To use this feature, simply pass the country code as a part of the time series settings. The example below shows input data in the left table and the right table shows updated dataset with holiday featurization applied. Additional features or columns are generated that add more context when models are trained for improved accuracy.

Training data on left shows without holiday features applied, table on the right shows.

Get started with time-series forecasting in automated ML

With these new capabilities automated ML increases support more complex forecasting scenarios, provides more control to configure training data using lags and window aggregation and improves accuracy with new holiday featurization and ROCV. Azure Machine Learning aims to enable data scientists of all skill levels to use powerful machine learning technology that simplifies their processes and reduces the time spent training models. Get started by visiting our documentation and let us know what you think – we are committed to make automated ML better for you!

Learn more about the Azure Machine Learning service and get started with a free trial.

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Author: Microsoft News Center

NSC joins forces with Silver Peak SD-WAN services

Silver Peak is teaming up with NSC to expand its global IT services portfolio with newly managed software-defined WAN services powered by the Unity EdgeConnect SD-WAN edge platform.

NSC serves as a single source provider and offers Silver Peak SD-WAN deployment services, white-label managed SD-WAN services to tier one and multinational service providers, and turnkey managed SD-WAN to new and existing enterprise clients.

The new Silver Peak-based managed SD-WAN services are available immediately to NSC enterprise and service provider clients and partners in 180 countries. Enterprise clients receive turnkey managed SD-WAN services powered by the EdgeConnect platform, deployed as a single virtual network function running on multipurpose universal customer premises equipment devices deployed at sites across their networks. Now, service providers can also offer metered white-label managed SD-WAN services to enterprise clients with the same deployment model flexibility.

NSC’s all-inclusive managed SD-WAN services include:

  • pre-sales, advisory and consulting;
  • procurement of hardware and software through purchase or lease;
  • staging and provisioning of device and circuit testing and management;
  • deployment, installation, turn-up, testing and lifecycle management;
  • monitoring, break-fix, capacity analysis and reporting 24/7/365;
  • network and application performance monitoring, management and reporting; and
  • expedited moves, adds, changes and deletions.

Silver Peak’s business-driven SD-WAN edge platform services include:

  • unified SD-WAN, security, routing and WAN optimization;
  • centralized orchestration and management;
  • granular application visibility and control;
  • ability to employ any combination of WAN transport; and
  • flexible deployment models, hardware, software and cloud.

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For Sale – CUSTOM BUILT BY PC SPECIALISTS 2013. VIDEO EDITING / GAMING DESK TOP PC OUTFIT.

For Sale

CUSTOM BUILT BY PC SPECIALISTS 2013.

VIDEO EDITING / GAMING DESK TOP PC OUTFIT.

This set up has served me well over the last 6 years. It has never been used for gaming, only general computing plus photo & video editing.

The only failure it suffered in that time being the CMOS watch battery that controls the date.

The PC, keyboard & mouse cost £1150.00 from PC Specialists, & the monitor £178.00 from Amazon UK, bills available.

I’m almost 80 years of age & my eyes are not what they were so I’ve decided to sell on my existing set up & go for a new PC with Windows 10 & a 31inch monitor. Everything is in good working order & from a child pet & smoke free home.

I want £500 for the complete outfit, collected from me, or if by carrier, plus carrier & special packing costs (to be determined.)

If wanted I can leave my photo editing software & lots of other useful software on the PC, or I can clear everything off apart from the operating system, for which I have the discs. Just let me know. Inspection is no problem, I will leave it in operation until I receive my new set up, which I will order once a sale is agreed. The delivery time of my new set up will be 2 weeks from ordering, then this PC can be collected or carriers arranged. All bills manuals etc available for inspection. Only components mentioned here included in the sale.

PC Specification

Case BitFenix Prodigy Mini-ITX Case (Black)

Processor (CPU) Intel® Core™i5 Quad Core Processor i5-4570 (3.2GHz) 6MB Cache

Motherboard ASUS® MAXIMUS VI IMPACT: Mini-ITX, LG1150, USB 3.0, SATA 6GBs, WIFI

Memory (RAM) 16GB KINGSTON DUAL-DDR3 1600MHz (2 x 8GB)

Graphics Card 2GB NVIDIA GEFORCE GTX 760 – 2 DVI, HDMI, DP – 3D Vision Ready

1st Storage Drive 1TB WD CAVIAR BLACK WD1002FAEX, SATA 6 Gb/s, 64MB CACHE (7200rpm)

2nd Storage Drive 1TB 3.5″ SATA-III 6GB/s HDD 7200RPM 32MB CACHE

DVD/BLU-RAY Drive 24x DUAL LAYER DVD WRITER ±R/±RW/RAM

Power Supply CORSAIR 650W ENTHUSIAST SERIES™ MODULAR TXM-650 V2-80 PLUS®

Power Cable 1 x 2 Metre UK Power Cable.

Processor Cooling INTEL STANDARD CPU COOLER

Sound Card ONBOARD 6 CHANNEL (5.1) HIGH DEF AUDIO

Wireless/Wired Networking 10/100/1000 GIGABIT LAN PORT

USB/Thunderbolt Options 2 x USB 3.0 & 4 x USB 2.0 PORTS ON BACK PANEL + MIN. 2 FRONT PORTS

Operating System Genuine Windows 7 Professional 64 Bit w/SP1 – inc DVD & Licence

Windows Recovery Media Windows 7 Professional (64-bit) DVD with paper sleeve

Office Software Apache Open Office Org.

Anti-Virus. Microsoft Security Essentials. Malware Bytes.

Keyboard & Mouse LOGITECH® K120 USB KEYBOARD

Mouse LOGITECH® OPTICAL USB MOUSE.

Spare expansion cages/

MONITOR.

BenQ RL2450HT 24 inch Widescreen LED Monitor (1920×1080), 2ms, VGA, DVI-D, HDMI, Headphone Jack, Black eQualizer, Smart Scaling. Height, rotate & tilt adjustable stand.

BenQ RL2450HT Full Specifications

Connectors. DVI-D PORT 1. HDMI PORTS 2. Headphone output 1. VGA (D Sub) 1. Maximum Resolution 1920 x 1080. 16-9 Aspect Ratio. Supported Graphics Resolution. 1920 x 1080. Refresh Rate. 76Hz. Screen Size 24inch. HD TYPE. Full HD. Screen Surface. Matte. Brightness 250 CD/M sq. Display Number Colours 16.78 million. Dynamic Contrast Ratio 12000000:1. Contrast Ratio 1000:1. Display Technology LCD. Backlight W-LED. Panel Type. TN+FILM. Response Time (GtG) 2Ms. Response Time 2Ms. Pixel Size 0.01 inch. Viewing Angle Horizontal 170 degrees. Vertical 160 degrees. Panel Design. Flat. Colour. Black. Height Adjustment. 4.33 inches. Width. 22.8 inches. Weight. 18.41 lbs. Energy Star. TCO Labelling TCO Displays 5.1. Operational Power Consumption. 27w.
Many more pictures, just PM me.

Price and currency: £499.00
Delivery: Delivery cost is not included
Payment method: Cash on Collection or Paypal
Location: Southport Merseyside UK
Advertised elsewhere?: Advertised elsewhere
Prefer goods collected?: I prefer the goods to be collected

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DO NOT proceed with a deal until you are completely satisfied with all details being correct. It’s in your best interest to check out these details yourself.

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Can you ace this quiz on Windows Server 2019 HCI?

The release of Windows Server 2019 gave administrators more tools to build hyper-converged infrastructure in the push toward software-defined data centers.

Microsoft’s Windows Server 2019 HCI features, such as an enhanced Storage Spaces Direct, could draw in organizations that want to consolidate infrastructure and save money on hardware. Admins should learn the server features to maximize the capabilities of HCI. Take this quiz to test if you are on track to master Windows Server 2019 HCI.

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Microsoft and Oracle to interconnect Microsoft Azure and Oracle Cloud – Stories

REDMOND, Wash., and REDWOOD SHORES, Calif. — June 5, 2019 — Microsoft Corp. and Oracle Corp. on Wednesday announced a cloud interoperability partnership enabling customers to migrate and run mission-critical enterprise workloads across Microsoft Azure and Oracle Cloud. Enterprises can now seamlessly connect Azure services, like Analytics and AI, to Oracle Cloud services, like Autonomous Database. By enabling customers to run one part of a workload within Azure and another part of the same workload within the Oracle Cloud, the partnership delivers a highly optimized, best-of-both-clouds experience. Taken together, Azure and Oracle Cloud offer customers a one-stop shop for all the cloud services and applications they need to run their entire business.

Connecting Azure and Oracle Cloud through network and identity interoperability makes lift-and-improve migrations seamless. This partnership delivers direct, fast and highly reliable network connectivity between two clouds, while continuing to provide first-class customer service and support that enterprises have come to expect from the two companies. In addition to providing interoperability for customers running Oracle software on Oracle Cloud and Microsoft software on Azure, it enables new and innovative scenarios like running Oracle E-Business Suite or Oracle JD Edwards on Azure against an Oracle Autonomous Database running on Exadata infrastructure in the Oracle Cloud.

“As the cloud of choice for the enterprise, with over 95% of the Fortune 500 using Azure, we have always been first and foremost focused on helping our customers thrive on their digital transformation journeys,” said Scott Guthrie, executive vice president of Microsoft’s Cloud and AI division. “With Oracle’s enterprise expertise, this alliance is a natural choice for us as we help our joint customers accelerate the migration of enterprise applications and databases to the public cloud.”

“The Oracle Cloud offers a complete suite of integrated applications for sales, service, marketing, human resources, finance, supply chain and manufacturing, plus highly automated and secure Generation 2 infrastructure featuring the Oracle Autonomous Database,” said Don Johnson, executive vice president, Oracle Cloud Infrastructure (OCI). “Oracle and Microsoft have served enterprise customer needs for decades. With this partnership, our joint customers can migrate their entire set of existing applications to the cloud without having to re-architect anything, preserving the large investments they have already made.”

As a result of this expanded partnership, the companies are today making available a new set of capabilities:

  • Connect Azure and Oracle Cloud seamlessly, allowing customers to extend their on-premises datacenters to both clouds. This direct interconnect is available starting today in Ashburn (North America) and Azure US East, with plans to expand additional regions in the future.
  • Unified identity and access management, via a unified single sign-on experience and automated user provisioning, to manage resources across Azure and Oracle Cloud. Also available in early preview today, Oracle applications can use Azure Active Directory as the identity provider and for conditional access.
  • Supported deployment of custom applications and packaged Oracle applications (JD Edwards EnterpriseOne, E-Business Suite, PeopleSoft, Oracle Retail, Hyperion) on Azure with Oracle databases (RAC, Exadata, Autonomous Database) deployed in Oracle Cloud. The same Oracle applications will also be certified to run on Azure with Oracle databases in Oracle Cloud.
  • A collaborative support model to help IT organizations deploy these new capabilities while enabling them to leverage existing customer support relationships and processes.
  • Oracle Database will continue to be certified to run in Azure on various operating systems, including Windows Server and Oracle Linux.

“The alliance between Microsoft and Oracle is welcome news as we accelerate Albertsons’ digital transformation and leverage the full value of the public cloud,” said Anuj Dhanda, executive vice president and chief information officer at Albertsons Companies. “This will allow us to create cross-cloud solutions that optimize many of our current investments while maximizing the agility, scalability and efficiency of the public cloud.”

“As we look to bring our omnichannel experience closer together and transform the technology platform that powers the Gap Inc. brands, the collaboration between Oracle and Microsoft will make it easier for us to scale and deliver capabilities across channels,” said Sally Gilligan, chief information officer at Gap. “The interoperability between Azure and Oracle Cloud allows us to deploy Oracle or custom-built applications on Azure and Oracle databases on Oracle Cloud.”

“At Halliburton, we have a long history of running both Oracle and Microsoft technologies for our most critical applications. Our deep experience with these two strategic vendors has yielded consistently stable and performant application deployments,” said Ken Braud, senior vice president and CIO at Halliburton. “This alliance gives us the flexibility and ongoing support to continue leveraging our standard architectures, while allowing us to focus on generating business outcomes that maximize returns for our shareholders.”

Those wanting to learn more should visit https://aka.ms/OracleOnAzure or www.oracle.com/cloud/oci-azure.html.

About Oracle

The Oracle Cloud offers a complete suite of integrated applications for Sales, Service, Marketing, Human Resources, Finance, Supply Chain and Manufacturing, plus Highly Automated and Secure Generation 2 Infrastructure featuring the Oracle Autonomous Database. For more information about Oracle (NYSE: ORCL), please visit us at www.oracle.com.

Future Product Disclaimer

The preceding is intended to outline our general product direction. It is intended for information purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any material, code or functionality, and should not be relied upon in making purchasing decisions. The development, release, timing and pricing of any features or functionality described for Oracle’s products may change and remains at the sole discretion of Oracle Corporation.

About Microsoft

Microsoft (Nasdaq “MSFT” @microsoft) enables digital transformation for the era of an intelligent cloud and an intelligent edge. Its mission is to empower every person and every organization on the planet to achieve more.

For more information, press only:

Microsoft Media Relations, WE Communications for Microsoft, (425) 638-7777, rrt@we-worldwide.com

Celina Bertallee, Oracle, (650) 506-6542, celina.bertallee@oracle.com

Note to editors: For more information, news and perspectives from Microsoft, please visit the Microsoft News Center at http://news.microsoft.com. Web links, telephone numbers and titles were correct at time of publication, but may have changed. For additional assistance, journalists and analysts may contact Microsoft’s Rapid Response Team or other appropriate contacts listed at http://news.microsoft.com/microsoft-public-relations-contacts.

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Author: Microsoft News Center

Oracle, Microsoft forge cloud pact

Oracle and Microsoft have hatched a plan to make their respective cloud platforms more interoperable, which gives joint customers additional deployment options and highlights how competition in the cloud creates unlikely alliances.

Enterprises with a stake in both companies’ products will benefit from scenarios such as the ability to tie Azure AI services back to Oracle’s Autonomous Database, or to run Oracle ERP applications on Azure against an Oracle Exadata backend, the companies said.

These setups may seem counterintuitive with respect to system latency, but the partnership seeks to account for that with a direct interconnect between Oracle Cloud Infrastructure’s Ashburn, Va., datacenter and Azure’s U.S. East region. Oracle and Microsoft plan to add more regions in the future.

Other cloud interoperability measures include unified single sign-on between the two clouds. In addition, Oracle application shops can use Azure Active Directory for identity management, although that capability is in early preview today. The companies also expect to provide a collaborative support model, though there are presently few details on how this might work.

Overall, the deal appears to benefit both the vendors and their joint customers, analysts said.

“Enterprises get what they want — they can run Oracle’s database the most efficient way, and do all the other stuff they want with Azure,” said Holger Mueller, an analyst at Constellation Research.

As for the identity management integration, customers already had a manual process. Oracle and Microsoft will now take on the job and support the integration, said Ed Anderson, an analyst at Gartner. Several joint Oracle-Microsoft customers, including Halliburton and The Gap, praised the partnership in prepared statements.

For Oracle and Microsoft, the partnership complements each other’s technologies and customer bases. AWS presents a bigger threat to Oracle on the database tier than Microsoft SQL Server, Anderson said. In turn, Oracle’s ERP systems cater mostly to the mid- and high-end market, whereas Microsoft Dynamics is popular among smaller companies.

Enterprises get what they want — they can run Oracle’s database the most efficient way, and do all the other stuff they want with Azure.
Holger MuellerAnalyst, Constellation Research

“This is just a way of extending [Oracle’s] footprint,” Anderson said. “Microsoft isn’t a real competitive threat to them [in certain areas] so they see a lot of synergy.”

The pact also seems to represent corporate will more than technical investment. It’s not immediately clear how Oracle and Microsoft interconnected their data centers, but the former already had FastConnect and the latter offered ExpressRoute, both of which provide high-bandwidth connections between a customer’s on-premises environments and the cloud.

“I don’t get the sense there’s a lot of engineering requirements here,” Anderson said. “In general, they’re using their pre-established endpoints.” An Oracle documentation page goes into more detail on how the integration has been done.

That corporate will does have its limits, at least initially. The partnership could have gone further. For example, Oracle might have placed Exadata kit directly inside Azure data centers, Anderson added. “But there is value in what [Microsoft and Oracle are] doing,” he said.

Strange bedfellows, or maybe not

Oracle and Microsoft are a good fit for this type of partnership because of their entrenched presence in large enterprise accounts, which is not something AWS or Google can claim, Constellation’s Mueller said.

Oracle chairman and CTO Larry Ellison
Larry Ellison, Oracle chairman and CTO, at Oracle OpenWorld in October 2018

Oracle has had success with SaaS applications, but its PaaS and particularly IaaS business have struggled to gain market share. Recent Oracle layoffs reportedly targeted its first-generation IaaS and OCI, which brought advancements in networking and storage, as well as options such as bare-metal instances.

This partnership could see Oracle lose out on revenue from SaaS workloads on OCI to Azure. But eventually, Oracle might develop similar autonomous capabilities for its applications as it has for the database, and limit them to OCI, Mueller said.

Meanwhile, Microsoft Azure follows AWS in terms of public cloud entrenchment, but has reported steady gains. A partnership with Oracle, which is another entrenched enterprise IT vendor with little significant overlap, only fortifies Microsoft’s case.

There’s no word on a potential Oracle-Google Cloud interoperability pact, but one with AWS seems less likely given public sparring between Oracle and AWS executives. Oracle chairman and CTO Larry Ellison has said that Oracle’s database runs much faster on the company’s cloud than AWS, while AWS CEO Jassy has touted Amazon’s consumer division’s migration off Oracle’s database, and positioned AWS services such as Redshift as a viable alternative for Oracle database customers.

Nonetheless, many key Oracle software products have been available on and certified for AWS for years, albeit not as fully managed services.

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For Sale – CUSTOM BUILT BY PC SPECIALISTS 2013. VIDEO EDITING / GAMING DESK TOP PC OUTFIT.

For Sale

CUSTOM BUILT BY PC SPECIALISTS 2013.

VIDEO EDITING / GAMING DESK TOP PC OUTFIT.

This set up has served me well over the last 6 years. It has never been used for gaming, only general computing plus photo & video editing.

The only failure it suffered in that time being the CMOS watch battery that controls the date.

The PC, keyboard & mouse cost £1150.00 from PC Specialists, & the monitor £178.00 from Amazon UK, bills available.

I’m almost 80 years of age & my eyes are not what they were so I’ve decided to sell on my existing set up & go for a new PC with Windows 10 & a 31inch monitor. Everything is in good working order & from a child pet & smoke free home.

I want £500 for the complete outfit, collected from me, or if by carrier, plus carrier & special packing costs (to be determined.)

If wanted I can leave my photo editing software & lots of other useful software on the PC, or I can clear everything off apart from the operating system, for which I have the discs. Just let me know. Inspection is no problem, I will leave it in operation until I receive my new set up, which I will order once a sale is agreed. The delivery time of my new set up will be 2 weeks from ordering, then this PC can be collected or carriers arranged. All bills manuals etc available for inspection. Only components mentioned here included in the sale.

PC Specification

Case BitFenix Prodigy Mini-ITX Case (Black)

Processor (CPU) Intel® Core™i5 Quad Core Processor i5-4570 (3.2GHz) 6MB Cache

Motherboard ASUS® MAXIMUS VI IMPACT: Mini-ITX, LG1150, USB 3.0, SATA 6GBs, WIFI

Memory (RAM) 16GB KINGSTON DUAL-DDR3 1600MHz (2 x 8GB)

Graphics Card 2GB NVIDIA GEFORCE GTX 760 – 2 DVI, HDMI, DP – 3D Vision Ready

1st Storage Drive 1TB WD CAVIAR BLACK WD1002FAEX, SATA 6 Gb/s, 64MB CACHE (7200rpm)

2nd Storage Drive 1TB 3.5″ SATA-III 6GB/s HDD 7200RPM 32MB CACHE

DVD/BLU-RAY Drive 24x DUAL LAYER DVD WRITER ±R/±RW/RAM

Power Supply CORSAIR 650W ENTHUSIAST SERIES™ MODULAR TXM-650 V2-80 PLUS®

Power Cable 1 x 2 Metre UK Power Cable.

Processor Cooling INTEL STANDARD CPU COOLER

Sound Card ONBOARD 6 CHANNEL (5.1) HIGH DEF AUDIO

Wireless/Wired Networking 10/100/1000 GIGABIT LAN PORT

USB/Thunderbolt Options 2 x USB 3.0 & 4 x USB 2.0 PORTS ON BACK PANEL + MIN. 2 FRONT PORTS

Operating System Genuine Windows 7 Professional 64 Bit w/SP1 – inc DVD & Licence

Windows Recovery Media Windows 7 Professional (64-bit) DVD with paper sleeve

Office Software Apache Open Office Org.

Anti-Virus. Microsoft Security Essentials. Malware Bytes.

Keyboard & Mouse LOGITECH® K120 USB KEYBOARD

Mouse LOGITECH® OPTICAL USB MOUSE.

Spare expansion cages/

MONITOR.

BenQ RL2450HT 24 inch Widescreen LED Monitor (1920×1080), 2ms, VGA, DVI-D, HDMI, Headphone Jack, Black eQualizer, Smart Scaling. Height, rotate & tilt adjustable stand.

BenQ RL2450HT Full Specifications

Connectors. DVI-D PORT 1. HDMI PORTS 2. Headphone output 1. VGA (D Sub) 1. Maximum Resolution 1920 x 1080. 16-9 Aspect Ratio. Supported Graphics Resolution. 1920 x 1080. Refresh Rate. 76Hz. Screen Size 24inch. HD TYPE. Full HD. Screen Surface. Matte. Brightness 250 CD/M sq. Display Number Colours 16.78 million. Dynamic Contrast Ratio 12000000:1. Contrast Ratio 1000:1. Display Technology LCD. Backlight W-LED. Panel Type. TN+FILM. Response Time (GtG) 2Ms. Response Time 2Ms. Pixel Size 0.01 inch. Viewing Angle Horizontal 170 degrees. Vertical 160 degrees. Panel Design. Flat. Colour. Black. Height Adjustment. 4.33 inches. Width. 22.8 inches. Weight. 18.41 lbs. Energy Star. TCO Labelling TCO Displays 5.1. Operational Power Consumption. 27w.
Many more pictures, just PM me.

Price and currency: £499.00
Delivery: Delivery cost is not included
Payment method: Cash on Collection or Paypal
Location: Southport Merseyside UK
Advertised elsewhere?: Advertised elsewhere
Prefer goods collected?: I prefer the goods to be collected

______________________________________________________
This message is automatically inserted in all classifieds forum threads.
By replying to this thread you agree to abide by the trading rules detailed here.
Please be advised, all buyers and sellers should satisfy themselves that the other party is genuine by providing the following via private conversation to each other after negotiations are complete and prior to dispatching goods and making payment:

  • Landline telephone number. Make a call to check out the area code and number are correct, too
  • Name and address including postcode
  • Valid e-mail address

DO NOT proceed with a deal until you are completely satisfied with all details being correct. It’s in your best interest to check out these details yourself.

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