Originally released July 201913.3-inch (diagonal) LED-backlit display with IPS technology; 2560×1600 native resolution at 227 pixels per inch8GB of 2133MHz LPDDR3 onboard memory128GB PCIe-based SSD720p FaceTime HD CameraIntel UHD Graphics 617
EVERYTHING HAS BEEN CLEANED WITH ANTIBIOTIC WIPES (obviously not the gpu, ram and ssd lol)
Due to the current situation I’m having a calearout and downgrade and so I have the below for sale cash on collection or bank transfer all ID details ect can be provided.
RTX 2080 SUPER FTW3 ULTRA GAMING EVGA £680ono (I also have the hydrocopper block to match this £60) this was a step up from my 2070 super and has full warranty with EVGA and comes with all boxes and bits see warranty page screenshot for details below.
Corsair vengeance pro RGB DDR4 16gb 3600 C18 boxed £70ono (CURRENTLY UNDER OFFER AWAITING PAYMENT)
Corsair k65 lux rgb keyboard with glorious gaming wrist rest £65ono (comes boxed with all key caps and bits and original unused wrist rest)
With seemingly overwhelming amounts of data coming from myriad sources, the need for effective enterprise data governance strategies is of paramount importance to many organizations.
Enterprise data governance has many facets and can often intersect with master data management (MDM) efforts. That convergence was on display at Informatica’s MDM 360 and Data Governance virtual summit hosted on March 19.
The enterprise cloud data management vendor, based in Redwood City, Calif., has been particularly active in recent months, hiring a new CEO in January and expanding the company’s product portfolio with updated governance, data catalog and analytics capabilities.
“We all want tomorrow’s data yesterday, to make a decision for today,” Informatica CEO Amit Walia said during the event’s opening keynote.
Informatica’s virtual conference was among the many similar events that tech vendors have held or are planning to substitute for in-person events canceled because of the coronavirus pandemic.
One notable tech conference producer, O’Reilly Media, sponsor of the Strata Data and AI conferences, among others, said March 24 it is closing its in-person conference business altogether because of the pandemic.
How Hertz is mastering enterprise data governance and management
Meanwhile, with its global car rental operations, Hertz Corporation possesses a lot of data that it needs to collect and govern, for some 100 million customers and a fleet of nearly a million vehicles.
Amit WaliaCEO, Informatica
Speaking at the virtual event, Richard Leaton, master data leader at Hertz, outlined the challenges his organization faces and the best practices for data governance and data management Hertz has used.
“The overall business objectives of MDM from an IT perspective, was a $1 billion transformation, changing our reservation system, rental system, sales engine and fleet management,” Leaton said. “If it had an electronic component to it, I think we changed it.”
As part of that effort Hertz needed to improve data quality and data governance, so there could be a single source of information for customer and fleet vehicle data.
Leaton noted that when he joined Hertz in 2017, the company had multiple sets of customer and vehicle master data sources and 30 years of mainframe-based proprietary databases. The systems were highly customized, not easy to upgrade and not uniformly governed.
Leaton emphasized that Hertz started with a process to engage all the right constituencies in the business.
“Data is an asset,” he said. “Data can have real hard number committed to it and when you have hard numbers associated with a data program, you’re going to have people who are helping you to make that data program successful.”
The technology should be the easy part of data transformation, Leaton said. The business processes, the buy-in and making sure the right data quality is present become the hard parts.
Enterprise data governance is the key to master data management
The first step for enabling MDM is to start with data governance, according to Leaton.
“If you don’t have your terms defined, you can’t build an MDM suite effectively,” Leaton said. “We were partway along the governance journey and started into MDM the first time and that’s where we ran into trouble.”
Hertz IT managers thought that they had defined enterprise data governance terms, but they came to realize that the terms were not agreed upon across the multiple platform of the business.
Securing executive buy-in for defining data governance across an organization is critical, Leaton said. He also emphasized that financial metrics and business value needs to be associated with the effort. Business leaders need to understand what the business will get out of a data governance effort. It’s not enough just to want to have good data, leaders need to define terms.
The defined terms for data governance can outline how the effort will help ensure regulatory compliance and how it will help to grow the business because all the systems talk to each other and there is better operational efficiency.
Data governance at Invesco
Rich Turnock, global head of enterprise data services at financial services firm Invesco, based in Louisville, Ky., also has a structured process for data governance.
The Invesco enterprise data platform incorporates three core steps for data governance and quality. In the planning phase, much like at Hertz, Turnock said the organization needs to define and document data requests in terms of business outcomes.
In the capture phase of data, enterprise data governance policies for mapping and cataloging data are important. For data delivery, Turnock said data output should be delivered in the agreed upon format and with preferred mechanisms that were defined up front in the planning process.
Using data to improve healthcare at Highmark Health
Using enterprise data governance and MDM best practices isn’t just about improving business outcomes. Those best practices can also improve healthcare.
Also at the Informatica virtual event, Anthony Roscoe, director of enterprise data governance at Highmark Health in Pittsburgh, explained how his organization embraced data governance and MDM. The key challenge for Highmark Health is that the organization had grown via acquisitions and ended up with multiple disparate data systems.
Operational integration of data is also part of Highmark Health’s data journey, making sure that clinical data from health systems can be correlated with health plans. It’s an approach that Roscoe said can help to streamline care decisions between the health insurance and care delivery portions of Highmark Health’s business.
The overriding goal of Highmark Health’s enterprise data platform is to take all the individual parts, find where the organization needs to gather data from so it can be organized, and ultimately govern the data so that appropriate access is in place.
“Mastering the data so that we speak a common language across the entire enterprise is key,” Roscoe said. “Speaking from the same language can deliver accurate data statements and reports and other metrics across the different business units.”
We’re expanding the Microsoft Azure Stack Edge with NVIDIA T4 Tensor Core GPU preview during the GPU Technology Conference (GTC Digital). Azure Stack Edge is a cloud-managed appliance that brings Azure’s compute, storage, and machine learning capabilities to the edge for fast local analysis and insights. With the included NVIDIA GPU, you can bring hardware acceleration to a diverse set of machine learning (ML) workloads.
What’s new with Azure Stack Edge
At Mobile World Congress in November 2019, we announced a preview of the NVIDIA GPU version of Azure Stack Edge and we’ve seen incredible interest in the months that followed. Customers in industries including retail, manufacturing, and public safety are using Azure Stack Edge to bring Azure capabilities into the physical world and unlock scenarios such as the real-time processing of video powered by Azure Machine Learning.
These past few months, we’ve taken our customers’ feedback to make key improvements and are excited to make our preview available to even more customers today.
If you’re not already familiar with Azure Stack Edge, here are a few of the benefits:
Azure Machine Learning: Build and train your model in the cloud, then deploy it to the edge for FPGA or GPU-accelerated inferencing.
Edge Compute: Run IoT, AI, and business applications in containers at your location. Use these to interact with your local systems, or to pre-process your data before it transfers to Azure.
Cloud Storage Gateway: Automatically transfer data between the local appliance and your Azure Storage account. Azure Stack Edge caches the hottest data locally and speaks file and object protocols to your on-prem applications.
Azure-managed appliance: Easily order and manage Azure Stack Edge from the Azure Portal. No initial capex fees; pay as you go, just like any other Azure service.
Enabling our partners to bring you world-class business applications
Equally important to bringing you a great device is enabling our partners to bring you innovative applications to meet your business needs. We’d love to share some of the continued investment we’re making with partners to bring their exciting developments to you.
As self-checkouts grow in prevalence, Malong Technologies is innovating in AI applications for loss prevention.
“For our customers in the retail industry, artificial intelligence innovation is happening at the edge,” said Matt Scott, co-founder and chief executive officer, Malong Technologies. “Along with our state-of-the-art solutions, our customers need hardware that is powerful, reliable, and custom-tailored for the cloud. Microsoft’s Azure Stack Edge fits the bill perfectly. We’re proud to be a Microsoft Gold Certified Partner, working with Microsoft to help our retail customers succeed.”
“Mariner has standardized on Microsoft’s Azure Stack Edge for our Spyglass Visual Inspection and Spyglass Connected Factory products. These solutions are mission critical to our manufacturing customers. Azure Stack Edge provides the performance, stability and availability they require.” – Phil Morris, CEO, Mariner
Building computer vision solutions to improve performance and safety in manufacturing and other industries is a key area of innovation for XXII.
“XXII is thrilled to be a Microsoft partner and we are working together to provide our clients with real time video analysis software on edge with the Azure Stack Edge box. With this solution, Azure allow us to harvest the full potential of NVIDIA GPUs directly on edge and be able to provide our clients in retail, industry and smart city with smart video analysis that are easily deployable, scalable and easily manageable with Azure stack Edge.” – Souheil Hanoune, Chief Scientific Officer, XXII
More to come with Azure Stack Edge
There are even more exciting developments with Azure Stack Edge coming. We’re putting the final touches on much-awaited new compute and AI capabilities including virtual machines, Kubernetes clusters, and multi-node support. Along with these new features announced at Ignite 2019, Data Box Edge was renamed Azure Stack Edge to align with the Azure Stack portfolio.
Our Rugged series for sites with harsh or remote environments is also coming this year, including the battery-powered form-factor that can be carried in a backpack. The versatility of these Azure Stack Edge form-factors and cloud-managed capabilities brings cloud intelligence and compute to retail stores, factory floors, hospitals, field operations, disaster zones, and rescue operations.
Get started with the Azure Stack Edge with NVIDIA GPU preview
Thank you for continuing to partner with us as we bring new capabilities to Azure Stack Edge. We’re looking forward to hearing from you.
To get started with the preview, please email us and we’ll follow up to learn more about your scenarios.