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sophialeeuae · 2 years

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Know Microsoft Business Dynamics 365 Central In-Depth

A popular business management tool is Microsoft Dynamics365 Business Central.

There is no need for a thorough introduction due to the software tool's widespread use.

So let us go right to the benefits provided by d365 Business Central.

Given the necessity to concentrate on the tools that make it easier for you to become productive, being informed of the software tool trends is crucial.

The newest integration capabilities, productivity, and data storage in the software tool are among the trends to know.

Improvements to Microsoft Dynamics 365 Business Central

Microsoft offers new updates to expand Microsoft Dynamics 365 Business Central's functionality.

This often takes place twice a year, in April and October. And these are the updates that Microsoft has so far made to the software tool:

Onboarding

It is a rather recent feature. Even users who are unfamiliar with the system navigation can do so easily and fast with the onboarding feature's functions.

The software automatically provides users with the appropriate instructions when they access the Assisted Setup.

As a result, users do not need prior experience to utilize the software product.

Microsoft Products Integration

Working remotely is now considered to be the norm. As a result, there is a growing need for designing technologies that make remote working easier.

Microsoft has merged MS Teams with Business Central as part of its most recent release. Users can once more search for and call up a contact from the software while using MS Teams thanks to the new capabilities.

Additionally, Microsoft Dynamics365 Business Central supports seamless connectivity with Dataverse, a platform for shared data services that enables integration between the different Microsoft Dynamics365 products.

Outlook Integration

Users can use and register Outlook emails in Dynamics 365 Business Central with the help of this connection capability.

Users of Microsoft Dynamics365 Business Central can now store attachments as media fields thanks to the latest release. Additionally, the prior 3 MB storage restriction has been lifted.

Low Ownership Cost

With the aid of Dynamics 365 Firm Central, you can efficiently manage your cash flow regardless of the size of your business. The software solution can also assist in lowering your company's expenses.

The software offers the benefits of low infrastructure investment and no upkeep expenses.

Additionally, the monthly fixed pricing structure based on subscriptions eliminates the requirement for a sizable upfront investment. Additionally, the cost structure guarantees the predictability of your company's expenses.

Because Microsoft Dynamics365 Business Central is a cloud-based product, it does not require servers or professional IT staff, saving you money on associated costs.

Once more, it is software that is ready to use and may be operational immediately.

Centralized Repository of Data

All of your company's data can be kept in a single, shared repository via D365 Business Central.

The system makes sure that your data is kept in a secure location. Additionally, it guarantees that the data will be updated continuously in real-time. As a result, your information will always be updated.

Once more, the feature will assist managers in producing financial reports and making wise business decisions using unified data shared by the software tool throughout their company.

The software product gives you instant access to data and analysis results thanks to great dashboards.

Businesses can use the central data repository more effectively to make wise business decisions. Consequently, businesses will expand.

Optimizes Project Management

Project management software from Microsoft Dynamics 365 Business Central includes useful functionalities. so that you may effectively manage your tasks and finish them on schedule.

You may manage and track the development of your projects with the software.

Conclusion

You can boost your company's productivity and efficiency using Microsoft Dynamics365 Business Central. The software solution aids in streamlining the workflows by optimizing every part of your company.

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xavor · 2 years

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Dynamics 365 by Microsoft is a cloud-supported business application platform that helps to combine the different components of CRM and ERP software in addition to productivity apps and AI tools.

There are several variants or modules of Dynamics 365 apps, including:

Microsoft Dynamics 365 Sales

Dynamics 365 Customer Service

Dynamics 365 Marketing

These apps employ the underlying data avenues such as Dataverse for Power apps to store and manage data safely. Moreover, this allows you to develop apps with the help of Power apps and Dataverse instead of using your sensitive business data from Dynamics 365. The app development process thus eliminates the need for integration.

#Application Modernization #Modernization #legacy Applications #legacy apps #app modernization #legacy Modernization

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mastechinfotrellis · 2 years

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Cloud Ops Is a Key Enabler of Successful Digital Transformation

This article was originally published in DATAVERSITY on July 27, 2021

My first job out of graduate school was to develop an e-commerce application for a manufacturing behemoth. The idea was to build a web-based application for internal sales teams to place orders on behalf of the customers and eliminate paper processing. Don’t judge it using today’s standard. At the time, almost two decades ago, it was a revolutionary idea, and a tremendous undertaking. As a new computer science grad, I was excited and took on this task with immense enthusiasm.

The first functional web order center was released a few months later. After that we’d do three to four major releases per year, with many point releases in between to add small features and fix bugs. We soon developed a complex pricing system to automatically calculate thousands of customizable parts and products, and started rolling it out to other countries outside of the U.S. By the time I left the company three and a half years later, the web order center was rolled out to over 30 countries, with over $1 billion going through it every year.

Looking back, that was my first digital transformation experience. At the time, I had no idea that my entire professional career would evolve from it. My 15-year journey with IBM took me around the world, working with many customers across industries to help them transform their businesses one way or another. I have witnessed many successful transformations where companies emerge or stay on as industry leaders, but I have also seen many enterprises struggle to transform and adjust to the new ways of doing business.

A study by Gartner found that half of CEOs expect their industry to be substantially or unrecognizably transformed by digital. While talking to IT leaders around the world, I learned that many of them believe that digital transformation is the biggest challenge, but also a once-in-a-lifetime opportunity in our generation. However, research shows that 70% of all digital transformations fail. No clearly defined best practices, poorly defined tool integrations, limited ability to deploy across platforms, and/or struggling to implement new technologies are on top of the list.

Disciplined Approach Through Cloud Operations (Cloud Ops)

Cloud is an essential part of any digital transformation strategy. Cloud Operations (Cloud Ops) brings Agile and DevOps (a set of practices that combines software development and IT operations) to the cloud. Bringing the DevOps methodology and traditional IT operations to the cloud-based infrastructure allows team members to collaborate more effectively across the collective hybrid cloud ecosystem.

The most common reason digital transformations fail is due to how the transformation is executed. Setting clear goals, having a consistent approach, and reliable methodologies to achieve those goals are keys to a successful transformation. By applying the reliable and proven Agile and DevOps approach to cloud operations, you have a better chance of improving the success rate of a digital transformation.

Predictable Execution and Operational Excellence

In the world of Cloud Ops or DevOps, automation is your friend. It reduces human error, improves quality, and speeds up processes.

One of the objectives of the DevOps philosophy involves continuous operations and zero downtime. The idea is that you can keep updating the software, or deploy new features without disrupting the application or services. In order words, the production environment never goes down. Customers won’t be ever affected while you put out new feature functions, or fix bugs

If DevOps is done successfully, organizations can deploy software hundreds or even thousands of times per day. Through rigorous automated testing and deployment pipelines, it’s easy to deploy changes across many functions on a continuous basis, which means features are released to customers more frequently, bugs are fixed more quickly, operations are optimized continuously, and so on.

Companies that can successfully manage these changes consistently with predictable outcomes will come out as winners in the marketplace.

Innovation at a Faster Pace with Cloud Ops

Cloud Ops transforms your teams to have Agile, DevOps, and digital in their DNA and make your digital transformation journey more successful. Incorporation of cloud services can facilitate innovation initiatives. At the heart of modern cloud operation practices is the true integration with open-source capabilities to accelerate the continuous delivery of IT innovation in a hybrid cloud world. If done right, it’ll set your organization way ahead of the competition.

It’s just a matter of time before all companies become IT companies at their core. The ability to innovate faster and deliver and deploy those innovations to the consumers quickly will be the key to stay ahead of the competition and succeed in this industrial revolution.

Learn more about cloud services here

#cloudservices #digital transformation #mdm #data management #mastechinfotrellis

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stellardigital · 2 years

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What exactly are Power Apps? A Microsoft Low Code PAAS for apps?

What exactly are Power applications, which you may have heard of recently? How significant are they? What does it actually do? Exactly what does it not do?

As a result, we will briefly discuss Power Apps in this article. Let's get going.

What are power apps?

You may quickly create customised apps to match your company needs with Power Applications, which is a collection of apps, services, connectors, and a data platform. By connecting to data stored in the underlying data platform (Microsoft Dataverse) or in a number of online and on-premises data sources, you can quickly create custom business apps with Power Apps (such as SharePoint, Microsoft 365, Dynamic 365, SQL server and so on.)

With the help of Power Apps, you can convert manual business processes into digital, automated ones thanks to their robust business logic and workflow capabilities. Furthermore, apps produced with Power Apps have a responsive design and may run in browsers as well as on mobile devices (phone or tablet).

By enabling anyone to create feature-rich, original business apps without knowing how to write code, Power Apps "democratise" the process.

Professional developers can apply business logic, build custom connections, integrate with external data, and interact programmatically with data and metadata using the expandable platform known as Power Apps.

How power app function?

Building a PowerApps programme is easiest when you start with the data source. It's the first of three steps in a process:

We'll begin, for instance, with a list of consultation interventions from SharePoint.

The next step is to select "create an app" option from the PowerApps menu.

This takes us to the PowerApps Studio, where we can see a canvas app that the system has developed that is fully working.

Remember that these are your default choices. They cover up a far wider range of possible options, settings, and architectural possibilities than what PowerApps offer.

Conclusion:

You can see how Power Apps is quickly becoming an invaluable tool for creating apps that fulfil your current business needs in terms of processes or workflows—all in a matter of hours. Power Apps offer limitless, if not infinite, possibilities. Come contact Stellar Digital to learn more about how this solution may fit your company's specific demands. As a top app development company, we have a team of specialists to deliver the finest solutions to your difficulties or concerns. Visit stellardigital.in and explore more about our mobile app development services.

#WHAT ARE POWER APPS?#MOBILE APP DEVELOPMENT SERVICES #A MICROSOFT LOW CODE PAAS FOR APPS?#HOW DOES POWER APP FUNCTION?

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karonbill · 2 years

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Microsoft PL-500 Practice Test Questions

The latest PL-500 Practice Test Questions are new cracked for your Microsoft Power Automate RPA Developer exam. It contains real questions and answers to help you practice well for the real exam, then you'll sit Exam PL-500: Microsoft Power Automate RPA Developer (currently in beta) and achieve your Microsoft Certified: Power Automate RPA Developer Associate certification. PassQuestion designed PL-500 Practice Test Questions from the syllabus so as to ensure that you pass your exam with high scores. You will have access to the appropriate and best training materials which will enable you to directly start with the actual exam questions for the Microsoft PL-500 exam.

Microsoft Power Automate RPA Developer (PL-500)

Candidates for this exam automate time-consuming and repetitive tasks by using Microsoft Power Automate. They review solution requirements, create process documentation, and design, develop, troubleshoot, and evaluate solutions. Candidates work with business stakeholders to improve and automate business workflows. They collaborate with administrators to deploy solutions to production environments, and they support solutions.

Additionally, candidates should have experience with JSON, cloud flows and desktop flows, integrating solutions with REST and SOAP services, analyzing data by using Microsoft Excel, VBScript, Visual Basic for Applications (VBA), HTML, JavaScript, one or more programming languages, and the Microsoft Power Platform suite of tools (AI Builder, Power Apps, Dataverse, and Power Virtual Agents).

PL-500 Exam ObjectivesDesign solutions (25–30%)

Determine how to interact with an application targeted for automation

evaluate whether a target application can be automated

choose which automation technology to use to interact with a target application, including using selectors and user interface element inspection

plan connection, payload, and other relevant information for required APIs

verify access to target applications

Determine which types of Power Automate flows to implement

differentiate cloud flows and desktop flows

select which logical components are required for a solution, including flows, triggers connectors, canvas apps, and model-driven apps

develop a strategy for running flows, including running flows serially or in parallel

choose connectors for a solution, including custom connectors

Design the solution

design an automation model that includes required flow types and automation methods

select the types of triggers to use to meet specific business requirements

choose whether to run the solution attended versus unattended

develop fault tolerance requirements for the solution

design required user interface elements for a solution

design retry and exception handling logic

design a strategy for scaling a solution and reusing solution components

design required variables and variable types

Develop solutions (40–45%)

Create core solution components

create custom connectors

create components to launch, connect to, and authenticate with target applications

create components to perform business logic and process transactional work

create components to safely exit from and close target applications

create components that perform actions by calling external APIs

implement actions to perform application integration tasks

implement system actions to run custom scripts and change target screen resolution

implement Power Automate actions to run Microsoft Office scripts

create flows by using Microsoft Visio, the mobile app for Power Automate, and other tools

Configure solution components

select an environment for the solution, and configure environment details

map target application accounts to environments and other solution components

configure connection features, and manage references to connections

configure flow queues, triggers, and schedules

Enhance solution components

create exception handling blocks to manage business and system exceptions

create routines to handle and log errors and business exceptions

create routines to manipulate Power Automate data objects, including JSON objects

configure role-based security

configure security for sensitive data

Integrate AI Builder and Azure Cognitive Services with solutions

describe use cases for and capabilities of AI Builder

describe the Bring your own AI model feature

differentiate between prebuilt and custom-trained AI Builder models

select the appropriate AI Builder model for a solution

Finalize development and test solutions

differentiate between features and behaviors of debug and compiled solutions

create and implement a test plan

perform unit testing, and resolve identified issues

configure and run attended and unattended desktop flows

debug solutions by using Power Automate debugging features, including Run from here and breakpoints

identify machine-level differences and dependencies

prepare and deploy solutions to a user acceptance testing (UAT) environment

Deploy and manage solutions (30–35%)

Configure solution infrastructure

configure machine management options, including machine registration and machine groups

implement queue management to distribute workloads

implement logging and alerts

implement role-based access control (RBAC)

manage credentials by using Azure Key Vault

determine whether to implement data loss prevention (DLP) policies at the tenant level or the environment level

implement Data Loss Prevention (DLP) policies and other options to protect sensitive and confidential data

connect to on-premises data by using a data gateway

Prepare solutions for deployment to production

create and manage environment variables and solution configuration files

select a package type, and prepare a solution package

configure priority for flows

configure machines and machine groups

configure child flows

Deploy and manage solutions

replicate settings from development and user acceptance testing (UAT) environments to production

deploy a solution to a production environment

describe use cases for and capabilities of process advisor

monitor solutions by using process advisor

upgrade and patch solutions

Share solutions and collaborate with others

describe the process for sharing solutions

create a copy of a cloud flow, and send the flow to other users

share a cloud flow with a user as a co-owner or run-only user

share a desktop flow

share machines and machine groups

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updatesnews · 3 years

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Power Apps review: Sweeter than Honeycode

Power Apps is a suite of apps, services, connectors, and a data platform — including tools for non-coders — designed for the rapid development of custom business apps that connect to data stored in Power Apps’s underlying data platform (Microsoft Dataverse) or in other data sources (on-prem or in the cloud) such as SharePoint, Excel, Office 365, Dynamics 365, and SQL Server. Once you’ve built an…

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srinathpega · 1 year

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Download Dataverse Development Tools with Power Platform CLI

Microsoft Power Platform CLI is a simple, one-stop developer CLI that empowers developers and ISVs to perform various operations in Microsoft Power Platform related to environment lifecycle, authentication, and work with Microsoft Dataverse environments, solution packages, portals, code components, and more. In the previous blog learn to install Microsoft Power Platform CLI Extention to the…

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#Dataverse #Dynamics 365 #Plugin Registration Tool #PlugIns #Power Platform #Power Platform Development Tools

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akhil-1 · 8 months

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Power Apps Online Training | Microsoft Power Apps Course

Top 20 Microsoft PowerApps Tools

As of my last knowledge update in January 2022, there isn't a specific list of "Top 20 Microsoft PowerApps Tools" widely recognized or maintained by Microsoft. However, I can provide you with information about some key components and tools within the Microsoft Power Platform, which includes PowerApps. Please note that developments may have occurred since my last update, and it's always a good idea to check the official Microsoft documentation for the latest information. Here are some essential components and tools related to Microsoft PowerApps

Power Apps and Power Automate Training

PowerApps Studio: The main development environment for creating and designing PowerApps.

Canvas Apps: PowerApps allows you to create custom apps using a canvas where you can design the user interface and functionality.

Model-Driven Apps: A type of app that is defined by its data model, with components like forms, views, and dashboards automatically generated from that model.

PowerApps Portals: Allows external users to interact with data stored in the Common Data Service.

Common Data Service (CDS): A database that allows you to securely store and manage data used by business applications.

Connectors: PowerApps supports various connectors to integrate with external services and data sources such as SharePoint, SQL Server, Microsoft 365, and more. - Microsoft Power Apps Online Training

AI Builder: Enables users to add artificial intelligence capabilities to their apps, such as object detection, prediction, and language understanding.

Power Automate: Formerly known as Microsoft Flow, it allows you to automate workflows between your apps and services.

Power Virtual Agents: Enables the creation of intelligent chatbots without requiring extensive coding.

Power BI Integration: PowerApps can be integrated with Power BI for powerful data visualization and analysis.

PowerApps Component Framework (PCF): Allows developers to build custom UI components for PowerApps.

- Microsoft Power Platform Online Training in Ameerpet

Power Platform Admin Center: Provides administrative capabilities for managing environments, resources, and monitoring usage.

PowerApps Mobile App: Allows users to access PowerApps on mobile devices.

Data Integration: PowerApps allows for the seamless integration of data from various sources.

Custom Connectors: Extend the capabilities of PowerApps by creating custom connectors to connect with external services.

Azure DevOps Integration: Enables integration with Azure DevOps for version control, continuous integration, and deployment.

Dataverse for Teams: A low-code data platform for Microsoft Teams that allows users to build custom apps.

ALM (Application Lifecycle Management): Tools and processes for managing the entire lifecycle of PowerApps applications.

- Power Apps Training in Ameerpet

Power Platform Center of Excellence (CoE) Starter Kit: A set of templates, apps, and flows for setting up a CoE to govern Power Platform usage within an organization.

Solution Checker: Helps ensure the quality and performance of your PowerApps solutions.

Keep in mind that the Power Platform is continually evolving, and new tools or features may have been introduced since my last update. Always refer to the official Microsoft documentation and community resources for the latest information on PowerApps and the Power Platform.

Visualpath is the Leading and Best Software Online Training Institute in Ameerpet, Hyderabad. Avail complete job-oriented Microsoft Power Platform Online Training by simply enrolling in our institute in Ameerpet, Hyderabad. You will get the best course at an affordable cost.

Attend Free Demo

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#Power Apps and Power Automate Training #Microsoft Power Apps Online Training #Microsoft Power Apps Course #Power Apps Online Training #Power Apps Training #Power Apps Training Hyderabad #Power Apps Training in Ameerpet #Microsoft Power Platform Online Training in ameerpet

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ineeddev · 2 years

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Key areas of responsibilities include: · Emphasis on Front End development - “look and feel” to design and build compelling visual assets (screens, controls, etc.) in Power Apps · Consult to develop and architect solutions to business problems and specifications using modern software application tools and best practices · Building attractive Power App user interfaces exhibiting intuitive design elements · Maintain goals and communicate to Project Team to effectively develop project deliverables · Collaborate with internal Project Team and stakeholders to solve client issues and satisfy requirements · Develop complex multi-stage workflows using Power Automate incorporating action cards and tasks for approvals · Integrating third-party systems into Power Automate with either stock actions available through the marketplace or via custom connectors · Working with the Dataverse in a developer capacity, basic understanding of the Dataverse structure and security model · Collaborating via Azure DevOps with Git source control · Documenting work in Microsoft Word · Effectively communicating with Clients and team members Qualifications: · Minimum 2 years of experience with the Power Platform · Excellent English communication and documentation skills · Ability to work on multiple Client projects, triage, and work with a team · Excellent critical thinking and problem-solving skills · Superior attention to detail · Expertise in implementing Power Apps, Power Automate Flows, and Connectors · Expertise in styling and design of Power Apps · Expertise in storing and retrieving data from the Dataverse in a secure manner · Experience with REST, OData, JSON and common web-based data structures · Experience with Visual Studio Code, Git · Experience with the Microsoft stack of products including Office Suite and Teams · Experience with designing tables in the Microsoft Dataverse · Familiarity with PowerShell · Familiarity with the Agile-Scrum methodology · Familiarity with basic networking concepts such as IPv4, DNS, DHCP, TLS Skills / Languages · Power Apps scripting · Power Automate scripting · PowerShell scripting · JSON, REST · C# is a bonus but not required Technical Tools · Power Apps, Power Automate, Visual Studio Code, Office Suite, Wireframing Tools ALM Tools · Azure DevOps , Visual Studio Online, Team Foundation Server, Git Platforms · Power Apps, Power Automate, SharePoint Online, Microsoft 365, Azure Logic Apps Education: · Bachelor's degree in Computer Science, Information Engineering or similar or relevant work experience What we offer: . Competitive salary . Salary is equivalent to the USD currency . Flexible working conditions/remote . Fun and cheerful environment . Office gatherings and parties

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adalidda · 6 years

Photo

Photo: a Representative images of wild type Col-0 Arabidopsis responding to drought and 500 mM NaCl stress. Plants were grown for 19 days, before applying stress treatments. Images were analyzed using the Phenotiki image analysis software: b Rosette perimeter, c rosette diameter, and d rosette area (b–d mean±SE, n=18 replicates). Bars represent points signifcantly diferent from control, t-test, p<0.05 (credits: Max R. Lien, Richard J. Barker, Zhiwei Ye, Matthew H. Westphall, Ruohan Gao, Aditya Singh,Simon Gilroy, Philip A. Townsend)

A low-cost and open-source platform for automated imaging

Authors: Max R. Lien, Richard J. Barker, Zhiwei Ye, Matthew H. Westphall, Ruohan Gao, Aditya Singh,Simon Gilroy, Philip A. Townsend

Journal Title: Plant Methods

ISSN: 1746-4811 (Online)

Publisher: BMC

Remote monitoring of plants using hyperspectral imaging has become an important tool for the study of plant growth, development, and physiology. Many applications are oriented towards use in field environments to enable non-destructive analysis of crop responses due to factors such as drought, nutrient deficiency, and disease, e.g., using tram, drone, or airplane mounted instruments. The field setting introduces a wide range of uncontrolled environmental variables that make validation and interpretation of spectral responses challenging, and as such lab- and greenhouse-deployed systems for plant studies and phenotyping are of increasing interest. In this study, we have designed and developed an open-source, hyperspectral reflectance-based imaging system for lab-based plant experiments: the HyperScanner. The reliability and accuracy of HyperScanner were validated using drought and salt stress experiments with Arabidopsis thaliana.

Availability of data and materials The datasets supporting the conclusions of this article are available in the Cyverse repository (https://de.cyverse.org/de/?type=data&folder=/iplant/home/elytas/experiment_repository). The 3D printable model fles are available on the Harvard Dataverse (https://doi.org/10.7910/DVN/9DLR7S). Ardupy is available on our Github (https://github.com/EnSpec/Plant_CNC_Controller) and archived on Zenodo (https://doi.org/10.5281/zenodo.1406721).

Check more https://adalidda.com/posts/s7L8qRDNoFCL5Fn8N/a-low-cost-and-open-source-platform-for-automated-imaging

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maphyorg · 5 years

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APIs for Scholarly Resources

An API, short for application programming interface, is a tool used to share content and data between software applications. APIs are used in a variety of contexts, but some examples include embedding content from one website into another, dynamically posting content from one application to display in another application, or extracting data from a database in a more programmatic way than a regular user interface might allow.

Many scholarly publishers, databases, and products offer APIs to allow users with programming skills to more powerfully extract data to serve a variety of research purposes. With an API, users might create programmatic searches of a citation database, extract statistical data, or dynamically query and post blog content.

Below is a list of commonly used scholarly resources at MIT that make their APIs available for use. If you have programming skills and would like to use APIs in your research, use the information below to get an overview of some available APIs.

If you have any questions or know of an API you would like to see include in this list, please contact [email protected].

arXiv API

What it does: Gives programmatic access to all of the arXiv data, search and linking facilities

How it’s accessed: API calls are made using any web-enabled client (e.g. a web browser) to make an HTTP GET or POST request to an appropriate URL. API users can use the programming language of their choice

Result format: Atom

How to register: Free to use, no registration or API key required

Limitations: No stated limitations, but high-volume users should contact arXiv at http://arxiv.org/help/contact

Contact for technical questions: arXiv Google Group

For more information: http://arxiv.org/help/api/index

SAO/NASA Astrophysics Data System (ADS) API

What it does: Provides access to ADS database of bibliographic data on astronomy and physics publications

How it’s accessed: HTTP GET requests, or via an unofficial Python client

Result format: varies

How to register: Free to register, API key required

Limitations: Rate limits apply

Contact for technical questions: [email protected]

For more information: http://adsabs.github.io/help/api/, terms of use available here: http://adsabs.github.io/help/terms/

BioMed Central API

What it does: Retrieves: 1) BMC Latest Articles; 2) BMC Editors picks; 3) Data on article subscription and access; 4) Bibliographic search data

How it’s accessed: RESTful interface, queries are made as HTTP GET requests

Result format: JSON and Prism Aggregate (PAM)

How to register: Free to access, no registration required

Limitations: No stated limitations

Contact for technical questions: [email protected]

For more information: https://www.biomedcentral.com/getpublished/indexing-archiving-and-access-to-data/api

Caselaw Access Project API

CORE API

What it does: gives programmatic access to metadata and full-text of millions of OA research papers

How it’s accessed: RESTful interface, queries are made as HTTP GET requests

Result format: JSON

How to register: Free to use, API key required, register for API key at https://core.ac.uk/api-keys/register

Limitations: Quota applied for query volume, details at https://core.ac.uk/services#api

Contact for technical questions: [email protected]

For more information: https://core.ac.uk/services#api

CrossRef REST API

What it does: Allows access to metadata records for over 75 million scholarly works that have CrossRef DOIs, covering around 5000 publishers. Can be used for text- and data-mining, checking against funder mandates, and to obtain metadata in a variety of representations.

How it’s accessed: RESTful interface

Result format: JSON

How to register: No registration required

Limitations: No stated limitations

Contact for technical questions: [email protected]

For more information: https://www.crossref.org/services/metadata-delivery/rest-api/

DVN (Dataverse Network) APIs for Data Sharing

What they do: Multiple APIs available to allow programmatic access to data and metadata in the Dataverse Network, which includes the Harvard Dataverse Network, MIT Libraries-purchased data, and data deposited in other Dataverse Network repositories

How they’re accessed: HTTPS. A Dataverse community-written software program can also be used to access the APIs via an RCurl package

Result format: XML; Byte Stream for Data Access requests

How to register: Access to restricted data sets requires approval by data owners. To access MIT Libraries-purchased data, login to Dataverse by selecting Massachusetts Institute of Technology and using your certificates or touchstone. More information available at: http://guides.dataverse.org/en/4.6/api/dataaccess.html#authentication-and-authorization

Limitations: No limitations on public data set downloads after agreeing to terms of use. No limitations on restricted data set downloads after access is granted by data owners

Contact for technical questions: [email protected]; Questions can also be posted in https://groups.google.com/forum/#!forum/dataverse-community

For more information: http://guides.dataverse.org/en/4.6/api/

Digital Public Library of America (DPLA) API

What it does: Allows programmatic access to metadata in DPLA collections, including partner data from Harvard, New York Public Library, ARTstor, and others

How it’s accessed: RESTful interface

Result format: Structured JSON-LD objects

How to register: Free to use; API key must be requested with information here: https://dp.la/info/developers/codex/policies/#get-a-key

Limitations: No stated limitations

Contact for technical questions: [email protected]; Users can also submit issues to DPLA’s Issue Tracker

For more information: http://dp.la/info/developers/codex/

Europeana APIs

What they do: Four APIs available to allow access to metadata, annotation, and download of Europeana data

How they’re accessed: API details here

Result format: Varies by API

How to register: http://labs.europeana.eu/api/registration

Limitations: Free to register, no stated limitations

Contact for technical questions: API Google groups page

For more information: http://labs.europeana.eu/api

HathiTrust Data API

What it does: Can be used to retrieve content (page images, OCR, and in some cases whole volume packages), and metadata for HathiTrust Digital Library volumes

How it’s accessed: RESTful interface

Result format: XML, JSON or binary depending on the resource queried

How to register: Two methods of access: via a Web client, requiring authentication (users who are not members of a HathiTrust partner institution must sign up for a University of Michigan “Friend” Account), or programmatically using an access key that can be obtained at http://babel.hathitrust.org/cgi/kgs/request

Limitations: No stated limitations but is not meant for large-scale retrieval of data

Contact for technical questions: [email protected], https://www.hathitrust.org/feedback

For more information: https://www.hathitrust.org/data_api

IEEE Xplore API

What it does: Provides flexible query and retrieval of metadata records for more then 4 million documents comprising IEEE journals, conference proceedings, and technical standards

How it’s accessed: HTTP requests using structured URL queries

Result format: JSON, XML

How to register: Follow the steps at https://developer.ieee.org/getting_started

Limitations: Maximum of 200 results may be retrieved in a single query. A query term can only contain a maximum of 10 words

Contact for technical questions: [email protected]

For more information: https://developer.ieee.org/

JSTOR Data for Research

What it does: Not a true API, but allows computational analysis and selection of JSTOR’s scholarly journal and primary resource collections. Includes tools for faceted searching and filtering, text analysis, topic modeling, data extraction, and visualization

How it’s accessed: Web interface

Result format: CSV, varies depending on tool used

How to register: Free to access, registration is required to obtain results; no institutional affiliation required

Limitations: Datasets are capped by default at 1,000 articles; users seeking larger results are asked to contact JSTOR Data for Research

Contact for technical questions: [email protected], http://about.jstor.org/contact

For more information: http://about.jstor.org/service/data-for-research

Library of Congress APIs

What they do: Multiple APIs available to download bibliographic data and search Library of Congress digital collections, including images, public radio and television, and historic newspapers

How they’re accessed: Varies by API used, more information available here

Result format: Varies by API used

How to register: Free to use, most APIs do not require an API key

Limitations: Not specified, varies by API used

Contact for technical questions: https://labs.loc.gov/lc-for-robots/

For more information: https://labs.loc.gov/lc-for-robots/

Nature Blogs API

What it does: Blog tracking and indexing service; tracks Nature blogs and other third-party science blogs

How it’s accessed: RESTful interface, queries are made as HTTP GET requests

Result format: Default is JSON, some queries return Atom/RSS

How to register: Free to register, API key no longer required as of 2013

Limitations: 2 calls per second; 5,000 calls per day; RSS results are limited to 100 items maximum

Contact for technical questions: [email protected]

For more information: http://www.nature.com/developers/documentation/api-references/blogs-api/

Nature OpenSearch API

What it does: Bibliographic search service for Nature content

How it’s accessed: RSS, JSON, ATOM, SRU XML, TURTLE, depending on interface used

Result format: REST API with two interfaces: 1) OpenSearch standard interface using keyword searches; 2) SRU search interface using CQL structed queries

How to register: Free to register, API key no longer required as of 2013

Limitations: Results served in pages of 25 records. Additional records can be retrieved by paging through the result set. The page size can be varied and is capped at 100 records

Contact for technical questions: [email protected]

For more information: http://www.nature.com/developers/documentation/api-references/opensearch-api/

NLM APIs

What it does: multiple APIs and other data tools for accessing various NLM databases.

For more information: https://wwwcf.nlm.nih.gov/nlm_eresources/eresources/search_database.cfm

Notable included APIs:

Entrez Programming Utilities

What it does: Set of 9 server-side programs for searching 38 NCBI Entrez databases of biomedical literature and data

How it’s accessed: To access data, a piece of software posts an URL using a fixed sytax to NCBI’s E-Utilities server, then retrieves and processes data. Users can use any programming language that can send the URL and interpret the XML response (e.g. Perl, Python, Java, C++, etc.)

Result format: XML

How to register: Free to register; registration is not necessary but strongly encouraged

Limitations: 3 URL requests per second; large jobs should be limited to weekends or business hours

Contact for technical questions: [email protected]

For more information: https://www.ncbi.nlm.nih.gov/books/NBK25500

Digital Collections Web Service

What it does: Provides access to metadata and full-text OCR of all resources in the Digital Collections repository

How it’s accessed: HTTP requests using structured URL queries

Result format: XML

How to register: No registration required

Limitations: 85 requests per minute per IP address; contact NLM for larger projects

Contact for technical questions: https://support.nlm.nih.gov/ics/support/ticketnewwizard.asp?style=classic&deptID=28054

For more information: https://collections.nlm.nih.gov/web_service.html

Open-i Open Access Image Search

What it does: search and retrieval of abstracts and images (including charts, graphs, clinical images, etc.) from the open source literature, and biomedical image collections

How it’s accessed: RESTful interface or web interface

Result format: JSON through API, image results through web interface

How to register: No registration required

Limitations: maximum 30 results per API query

Contact for technical questions: https://openi.nlm.nih.gov/contactus.php

For more information: https://openi.nlm.nih.gov/; https://openi.nlm.nih.gov/services.php?it=xg

PMC Open Access Web Service

What it does: Allows discovery of downloadable fulltext resources from the PMC Open Access Subset

How it’s accessed: API calls are made using any web-enabled client (e.g. a web browser) to make an HTTP GET or POST request to an appropriate URL

Result format: XML results showing articles available in tgz or PDF format

How to register: Registration not required

Limitations: result set limited to 1000 records at a time

Contact for technical questions: [email protected]

For more information: https://www.ncbi.nlm.nih.gov/pmc/tools/oa-service/

OECD Data APIs

What they do: Allows programmatic access to a selection of OECD datasets

How they’re accessed: two RESTful APIs available for queries in SDMX-JSON or SDMX-ML formats

Result format: JSON, XML

How to register: No registration required

Limitations: 1 million data points; not all OECD datasets are covered

Contact for technical questions: [email protected]

For more information: https://data.oecd.org/api/

ORCID API

What it does: Queries and searches the ORCID researcher identifier system and obtain researcher profile data

How it’s accessed: RESTful interface

Result format: HTML, XML, or JSON

How to register: Two options: 1) Users can access the Public API, which only returns data marked as “public”; 2) Become an ORCID member to receive API credentials: see here

Limitations: Data retrieved through Public API is limited

Contact for technical questions: https://orcid.org/help/contact-us

For more information: https://orcid.org/organizations/integrators/API

PLoS Article-Level Metrics API

What it does: Retrieves article-level metrics (including usage statistics, citation counts, and social networking activity) for articles published in PLOS journals and articles added to PLOS Hubs: Biodiversity

How it’s accessed: queries made as HTTP GET requests through a RESTful interface, or via web interface

Result format: XML, JSON, CSV

How to register: Free to register; API key needed; Go to http://api.plos.org/registration/

Limitations: Results limited to batches of 50 at a time

Contact for technical questions: [email protected]; Questions can also be posted in PLoS API Google Group

For more information: http://alm.plos.org/; http://almreports.plos.org/; http://alm.plos.org/docs/api

PLoS Search API

What it does: Allows PLoS content to be queried for integration into web, desktop, or mobile applications

How it’s accessed: RESTful interface, queries are made as HTTP GET requests

Result format: XML

How to register: Free to register; API key needed; go to http://api.plos.org/registration/.

Limitations: Max is 7200 requests a day, 300 per hour, 10 per minute; users should wait 5 seconds for each query to return results; requests should not return more than 100 rows; high-volume users should contact [email protected]; API users are limited to no more than five concurrent connections from a single IP address

Contact for technical questions: [email protected]; Questions can also be posted in PLoS API Google Group

For more information: http://api.plos.org/solr/faq/

ScienceDirect APIs

What they do: Multiple APIs available for different use cases, including text mining of full-text content, search widgets, displaying journal or book level data, federated searching, and indexing

How they’re accessed: varies, depending on use case

Result format: varies, depending on use case

How to register: Free to register. MIT users should contact [email protected] to receive an API key

Limitations: varies, depending on use case

Contact for technical questions: [email protected]

For more information: https://dev.elsevier.com/; https://dev.elsevier.com/sd_apis.html

Scopus APIs

What they do: Multiple APIs available for different use cases, including displaying publications on a website, showing cited-by counts on a website, federated searching, populating repositories with metadata, populating VIVO profiles, and others

How they’re accessed: varies, depending on use case

Result format: varies, depending on use case

How to register: Free to register; some functionality requires MIT affiliation

Limitations: varies, depending on use case

Contact for technical questions: [email protected]

For more information: https://dev.elsevier.com/; https://dev.elsevier.com/sc_apis.html

Springer APIs

What they do: Multiple APIs providing access to Springer metadata and open access content

How they’re accessed: RESTful interface, using structured URL requests

Result format: XML, JSON, PRISM, A++ depending on query specifications

How to register: Free to register, API key required

Limitations: maximum results for a single query is 100 results for metadata queries, or 20 results for open access queries

Contact for technical questions: [email protected]

For more information: https://dev.springer.com/; https://dev.springer.com/docs; https://dev.springer.com/restfuloperations

STAT!Ref OpenSearch API

What it does: Bibliographic search service for displaying STAT!Ref results on a website.

How it’s accessed: OpenSearch specifications

Result format: RSS, ATOM, HTML

How to register: Free to register for users at a subscribing institution

Limitations: Limits exist but are not specified; high-volume users should contact STAT!Ref

Contact for technical questions: [email protected]

For more information: http://online.statref.com/Resources/StatRefOpenSearch.aspx

Web of Science Web Services

What it does: Bibliographic search service; allows automatic, real-time querying of records; primarily for populating an institutional repository

How it’s accessed: Uses SOAP protocol to access

Result format: XML

How to register: Free to register if you are affiliated with a host institution that subscribes to Web of Science

Limitations: Extractable data is limited to particular fields, databases, and file depths, also depends on host institution’s subscription

Contact for technical questions: http://ip-science.thomsonreuters.com/techsupport

For more information: http://wokinfo.com/products_tools/products/related/webservices/

World Bank APIs

What they do: Provide access to World Bank statistical databases, indicators, projects, and loans, credits, financial statements and other data related to financial operations

How they’re accessed: Three RESTful APIs available to provide access to different datasets: Indicators (time series data), Projects (data on the World Bank’s operations), Finances (World Bank financial data)

Result format: XML, JSON, RDF, and Atom, depending on specific API used

How to register: Free to use, no registration or API key required

Limitations: Request volume limits are unspecified, but should be “reasonable”

Contact for technical questions: [email protected] or “Contact support” link here

For more information: https://datahelpdesk.worldbank.org/knowledgebase/topics/125589

UN Comtrade APIs

What they do: Allow access to data on International Merchandise Trade Statistics (IMTS) and the work of the International Merchandise Trade Statistics Section (IMTSS) of the United Nations Statistics Division

How they’re accessed: Some services in REST, some in SOAP

Result format: XML or CSV, depending on service

How to register: Comtrade Web Services requires IP authentication, users must have site license account, however, access to metadata and data availability is not restricted

Limitations: Depending on access rights, the following data can be obtained: Comtrade Data, Tariff Line Data, Total Trade, Annual Totals, Processed Data or Original Data. The latest three are restricted for data exchange between UN and OECD.

Contact for technical questions: [email protected]

For more information: https://comtrade.un.org/ws/

Wiley Text and Data Mining

What it does: Allows text- and data-mining access to content in the Wiley Online Library

How it’s accessed: Accessible via CrossRef’s TDM service; RESTful interface

Result format: JSON

How to register: Must be part of a subscribing institution to have full text access. Users will encounter a click-through agreement and will receive a Client API Token, which is needed when requesting full text of articles

Limitations: rate-limits implemented through CrossRef rate-limiting headers, exact limitations not specified

Contact for technical questions: [email protected]; [email protected] for support using the CrossRef TDM service

For more information: http://olabout.wiley.com/WileyCDA/Section/id-826542.html

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#数据

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karonbill · 3 years

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Microsoft Power Platform Solution Architect PL-600 Exam Questions

PL-600 Microsoft Power Platform Solution Architect is a new released Microsoft Power Platform exam replacement of MB-600 which will be retired on June 30, 2021.PassQuestion provides the latest Microsoft Power Platform Solution Architect PL-600 Exam Questions which include information and tools to assist you in preparation for Exam PL-600 Microsoft Power Platform Solution Architect.Passing PL-600 exam will help you earn Microsoft Certified: Power Platform Solution Architect Expert certification.

Microsoft Power Platform Solution Architect PL-600 Exam Description

Microsoft Power Platform solution architects lead successful implementations and focus on how solutions address the broader business and technical needs of organizations.

A solution architect has functional and technical knowledge of the Power Platform, Dynamics 365 customer engagement apps, related Microsoft cloud solutions, and other third-party technologies. A solution architect applies knowledge and experience throughout an engagement. The solution architect performs proactive and preventative work to increase the value of the customer’s investment and promote organizational health. This role requires the ability to identify opportunities to solve business problems.

Solution architects have experience across functional and technical disciplines of the Power Platform. Solution architects should be able to facilitate design decisions across development, configuration, integration, infrastructure, security, availability, storage, and change management. This role balances a project's business needs while meeting functional and non-functional requirements.

PL-600 Exam ContentPerform solution envisioning and requirement analyses (35-40%)

Initiate solution planning

Identify organization information and metrics

Identify existing solutions and systems

Capture requirements

Perform fit/gap analyses

Architect a solution (40-45%)

Lead the design process

Design the data model

Design integrations

Design the security model

Implement the solution (15-20%)

Validate the solution design

Support go-live

View Online Microsoft Power Platform Solution Architect PL-600 Free Questions

You are a Power Apps architect for a company. The IT administrator designs a Power Apps app that is ready to be tested. The company uses application lifecycle management (ALM). Each version and solution component must be tracked as it is tested. You need to recommend a strategy to deploy solutions for the user acceptance testing environment. What should you recommend? A.Use Package Deployer and deploy a managed solution. B.Use Package Deployer and deploy an unmanaged solution. C.Use Solution Packager and deploy a managed solution. D.Use Solution Packager and deploy an unmanaged solution. Answer : D

You are designing a Power Platform solution. During quality assurance testing the API limits are reached. You need to identify and resolve the issue. Which two actions should you recommend? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point. A.Allocate Microsoft Dataverse capacity add-on subscriptions. B.Use the out-of-the-box User Summary report from the Reports section of the solution's model-driven app. C.Review the Home tab Dataverse analytics dashboard. D.In the Power Platform admin center, review the Usage section of the Power Apps analytics dashboard. E.In the Power Platform admin center, review the Runs section of the Power Automate analytics dashboard. Answer : A, C

A company has a Power Platform solution that integrates with a third-party system. The client reports that unexpected updates are being made to the Accounts table. You need to determine the root cause of the issue. In which three locations should you investigate? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. A.Audit summary view B.Solution history C.SDK Message Processing Steps D.Plug-in trace log E.System job run history Answer : A, B, D

A company sells antique books. The company stores data about book locations in an existing system by using the following database fields: Room, Shelf. The company must import the data from the existing system into a Power Platform solution. Existing data into must be modified to match the design of the new solution. You need to recommend a solution to combine the room and shelf fields into a single column during the import process. Which tool should you recommend? A.Power Platform dataflows B.Data Import Wizard C.import from CSV D.Microsoft Excel Online Answer : B

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netmetic · 6 years

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Key Considerations for Building a Robust Data Strategy

Many business and IT leaders are focused on developing comprehensive data strategies that enable data-driven decision making. A 2016 IDG Enterprise survey found that 53 percent of companies were implementing or planning to implement data-driven projects within the next 12 months—specifically projects undertaken with the goal of generating greater value from existing data.[1] With the growing importance of AI and advanced analytics today, it seems a safe assumption that this number has only increased over time.

The concept of building a data strategy is such a hot topic that top-tier universities are creating executive-level courses on the subject,[2] while industry observers are predicting that by 2020, 90 percent of Fortune 500 companies will have a chief data officer (CDO) or equivalent position.[3]

Yet despite all of this momentum, the concept of a data strategy remains new to many organizations. They haven’t thought about it in the past, so it is uncharted territory, or maybe even an unknown-unknown. With that thought in mind, in this post I will walk through some key considerations for building a robust data strategy.

Why is a robust data strategy important? A data strategy is a business-driven initiative, and how technology is involved is an important factor. No matter what, you always start with a set of business objectives, and having the right data when you need it results in business advantages.

The Big Picture

A well-thought-out data strategy will have components specific to one’s own organization and application area. There are, however, important commonalities to any approach. Some of the more important ones include methods for data acquisition, data persistence, feature identification and extraction, analytics, and visualization, three of which I will discuss here.

When I give talks about the data science solutions my team develops, I often reference a diagram describing how many data scientists organize the information flow through their experiments. A good data strategy needs to be informed by these concepts—your choices will either facilitate or hinder how your analysts are able to extract insights from your data!

Figure 1. The standard data science workflow for experimental model creation and production solution deployment. EDA: Exploratory Data Analysis.

Data Acquisition and Persistence

Before outlining a data strategy, one needs to enumerate all the sources of data that will be important to the organization. In some businesses, these could be real-time transactions, while in others these could be free-text user feedback or log files from climate control systems. While there are countless potential sources of data, the important point is to identify all of the data that will play into the organization’s strategy at the outset. The goal is to avoid time-consuming additional steps further along in the process.

In one project I worked on when I was but a wee data scientist, we needed to obtain free-text data from scientific publications and merge the documents with metadata extracted from a second source. The data extraction process was reasonably time-consuming, so we had to do this as a batch operation and store the data to disk. After we completed the process of merging together our data sources, I realized I forgot to include a data source we were going to need for annotating some of the scientific concepts in our document corpus. Because we had to do a separate merge step, our experimental workflow took a great deal more time, necessitating many avoidable late hours at the office. The big lesson here: Proactively thinking through all the data that will be important to your organization is a guaranteed way to save some headaches down the road.

Once you have thought through data acquisition, it’s easier to make decisions about how (or if) these data will persist and be shared over time. To this end, there have never been more options for how one might want to keep data around. Your choices here should be informed by a few factors, including the data types in question, the speed at which new data points arrive (e.g., is it a static data set or real-time transactional data?), whether your storage needs to be optimized for reading or writing data, and which internal groups are likely to need access. In all likelihood, your organization’s solution will involve a combination of several of these data persistence options.

Your choices are also likely to change in big versus small data situations. How do you know if you have big data? If it won’t fit in a standard-size grocery bag, you may have big data. In all seriousness though, my rule of thumb is once infrastructure (i.e., the grocery bag) is a central part of your data persistence solution, one is effectively dealing with big data. There are many resources that will outline the advantages and disadvantages of your choices here. These days, many downstream feature extraction and analytical methods have libraries for transacting with the more popular choices here, so it’s best to base one’s decision on expected data types, optimizations, and data volume.

Feature Identification and Extraction

In data science, a “feature” is the information a machine learning algorithm will use during the training stage for a predictive model, as well as what it will use to make a prediction regarding a previously-unseen data point. In the case of text classification, features could be the individual words in a document; in financial analytics, a feature might be the price of a stock on a particular day.

Most data strategies would do well to steer away from micromanaging how the analysts will approach this step of their work. However, there are organization-level decisions that can be made that will facilitate efficiency and creativity here. The most important approach, in my mind, is fostering an environment that encourages developers to draw from, and contribute to, the open source community. This is essential.

Many of the most effective and common methods for feature extraction and data processing are well-understood, and excellent approaches have been implemented in the open source community (e.g., in Python*, R*, or Spark*). In many situations, analysts will get the most mileage out of trying one of these methods. In a research setting, they may be able to try out custom methods that are effective in a particular application domain. It will benefit both employee morale and your organization’s reputation if they are encouraged to contribute these discoveries back to the open source community.

Predictive Analytics

Again, I think it’s key for an organization-level data strategy to avoid micromanagement of the algorithm choices analysts make in performing predictive analytics, but I would still argue that there are analytical considerations that should be included in a robust data strategy. Overseeing data governance—the management of the availability, usability, integrity, and security of your organization’s data is a central part of the CDO’s role—and analytics is where a lot of this can breakdown or reveal holes in your strategy. Even if your strategy leverages NoSQL databases, if the relationships between data points are poorly understood or not documented, it’s possible that the analysts could be missing important connections, or even prevented from accessing certain data altogether.

Overarching Considerations

To take a step back, a data strategy should include identification of software tools that your organization will rely upon. Intel can help here. Intel has led or contributed actively to the development of a wide range of platforms, libraries, and programming languages that provide ready-to-use resources for data analytics initiatives.

To help with analytical steps and some aspects of feature identification and extraction, you can leverage the Intel® Math Kernel Library (Intel® MKL), Intel® Math Kernel Library for Deep Neural Networks (Intel® MKL-DNN) and the Intel® Data Analytics Acceleration Library (Intel® DAAL), as well as BigDL and the Intel® Distribution for Python*.

Intel MKL arms you with highly optimized, threaded, and vectorized functions to increase performance on Intel processors.

Intel MKL-DNN provides performance enhancements for accelerating deep learning frameworks on Intel architecture.

Intel DAAL delivers highly tuned functions for deep learning, classical machine learning, and data analytics performance.

BigDL simplifies the development of deep learning applications for use as standard Spark programs.

The Intel Distribution for Python adds acceleration of Python application performance on Intel platforms.

Ready for a deeper dive? Our “Tame the Data Deluge” whitepaper is a great place to get started. For some real-life examples of the way organizations are using data science to make better decisions in less time, visit the Intel Advanced Analytics site.

[1] IDG Enterprise Data and Analytics Survey 2016.

[2] For an example, see Data Strategy for Business Leaders, an educational offering from the Haas School of Business at the University of California, Berkeley.

[3] DATAVERSITY, “2017 Trends in Data Strategy,” December 13, 2016.

The post Key Considerations for Building a Robust Data Strategy appeared first on IT Peer Network.

Key Considerations for Building a Robust Data Strategy published first on https://jiohow.tumblr.com/

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android-for-life · 7 years

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"Journalism 360 grant winners announced"

While advances in immersive storytelling—360 video, virtual reality, augmented reality and drones—have the potential to make journalism richer and more engaging, it can be challenging for journalists to adopt and embrace these new tools. In 2016, the Google News Lab, the John S. and James L. Knight Foundation and the Online News Association created Journalism 360, a coalition of hundreds of journalists from around the world to build new skills required to tell immersive stories. Today, the coalition announced the 11 winners of its first grant challenge, which will fund projects to tackle some of the most critical challenges facing the advancement of immersive journalism: the need for better tools and trainings, the development of best practices, and new use cases.

Here’s a bit more about the winning projects:

Aftermath VR app: New Cave Media, led by Alexey Furman in Kyiv, Ukraine. An app that applies photogrammetry, which uses photography to measure and map objects, to recreate three-dimensional scenes of news events and narrate what happened through voiceover and archival footage.

AI-generated Anonymity in VR Journalism: University of British Columbia, led by Taylor Owen, Kate Hennessy and Steve DiPaol in Vancouver, Canada. Helps reporters test whether an emotional connection can be maintained in immersive storytelling formats when a character’s identity is hidden.

Community and Ethnic Media Journalism 360: City University of New York, led by Bob Sacha in New York. Makes immersive storytelling more accessible to community media (local broadcasters, public radio and TV, etc.) and ethnic media through hands-on training and access to equipment. The team also aims to produce a “how to” guide for using immersive storytelling to cover local events such as festivals.

Dataverses: Information Visualization into VR Storytelling: The Outliers Collective, led by Oscar Marin Miro in Barcelona, Spain. Makes it easier to integrate data visualizations into immersive storytelling through a platform that includes virtual reality videos, photos and facts. For example, a user could show a map of the Earth highlighting places without water access, and link each area to a virtual reality video that explores the experience of living there.

Facing Bias: The Washington Post, led by Emily Yount in Washington, D.C. Develops a smartphone tool that will use augmented reality to analyze a reader's facial expressions while they view images and statements that may affirm or contradict their beliefs. The aim is to give readers a better understanding of their own biases.

Spatial and Head-Locked Stereo Audio for 360 Journalism: NPR, led by Nicholas Michael in Washington, D.C. Develops best practices for immersive storytelling audio by producing two virtual reality stories with a particular focus on sound-rich scenes. The project will explore, test and share spatial audio findings from these experiments.

Immersive Storytelling from the Ocean Floor: MIT Future Ocean Lab, led by Allan Adams in Cambridge, Massachusetts. Creates a camera and lighting system to produce immersive stories underwater and uncover the hidden experiences that lie beneath the ocean’s surface.

Location-Based VR Data Visualization: Arizona State University, Cronkite School of Journalism, led by Retha Hill in Tempe, Arizona. Helps journalists and others easily create location-based data visualizations in a virtual reality format. For example, users could explore crime statistics or education data on particular neighborhoods through data overlays on virtual reality footage of these areas.

Voxhop by Virtual Collaboration Research Inc.: Ainsley Sutherland in Cambridge, Massachusetts. Makes it easy to craft audio-driven virtual reality stories through a tool that would allow journalists to upload, generate or construct a three-dimensional environment and narrate the scene from multiple perspectives. For example, a reporter could construct a three-dimensional crime scene and include voiceovers detailing accounts of what transpired in the space.

Scene VR: Northwestern University Knight Lab, led by Zach Wise in Evanston, Illinois. Develops a tool that would make it easier for journalists and others to create virtual reality photo experiences that include interactive navigation, using their smartphone or a camera.

The Wall: The Arizona Republic and USA TODAY Network, led by Nicole Carroll in Phoenix, Arizona. Uses virtual reality, data and aerial video, and documentary shorts to bring the story of the proposed border wall between the United States and Mexico to life.

Over the course of the next year, the project leads will share their learnings on the Journalism 360 blog. Because this is all about building community, the recipients will also gather at the Online News Association’s annual conference in Washington, D.C. this September to discuss their projects, answer questions and share their progress. In early 2018, they will present their finished projects.

To learn more about Journalism 360, follow the blog or on Twitter. You can learn more about the Google News Lab’s work in immersive journalism on our website.

Source : The Official Google Blog via Source information

#jeprog

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