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Social business systems - success factors for Enterprise 2.0 applicationsHuddleHQ
This survey-based report examines the business drivers and adoption levels for Enterprise 2.0 technologies. It also looks at the benefits and issues being highlighted by users, and what platforms and infrastructures are being used for the delivery of social business collaboration across the enterprise. The research focuses on three specific applications - enterprise Q&A, open innovation, and sales and marketing collaboration – and makes recommendations for maximizing the benefits of social business collaboration software.
Huddle joined AIIM in this Social Business Taskforce to investigate the progress of social business technologies and underwrote the research.
Social business systems - success factors for Enterprise 2.0 applicationsHuddleHQ
This survey-based report examines the business drivers and adoption levels for Enterprise 2.0 technologies. It also looks at the benefits and issues being highlighted by users, and what platforms and infrastructures are being used for the delivery of social business collaboration across the enterprise. The research focuses on three specific applications - enterprise Q&A, open innovation, and sales and marketing collaboration – and makes recommendations for maximizing the benefits of social business collaboration software.
Huddle joined AIIM in this Social Business Taskforce to investigate the progress of social business technologies and underwrote the research.
Aiim Industry Watch: Content Analytics: automating processes and extracting ...Swiss Post Solutions
The capacity of computers to recognize meaning in text, sound or images has progressed slowly and steadily over many years, but with the arrival of multi-processor cores, and the continual refinement of software algorithms, we are in a position where both the speed and the accuracy of recognition can support a wide range of applications. In particular, when we add analysis to recognition, we can match
up content with rules and policies, detect unusual behavior, spot patterns and trends, and infer emotions and sentiments. Content analytics is a key part of “big data” business intelligence, but it is also driving auto-classification, content remediation, security correction, adaptive case management, and operations monitoring.
Despite the widespread acceptance that reducing and removing paper is a best practice, there is a huge difference between the best performers and the laggards. Piles of paper contrast with clear desks, post bags and delivery vans contrast with mobile capture, warehouses full of boxes contrast with electronic archives, and forms-based processes contrast with automated workflows.
Information Governance - AIIM Marketing Intelligence Though Leadership Whitep...SAP Solution Extensions
Once upon a time, records meant paper documents. They lived in file cabinets, and they were managed and maintained by secretaries, librarians and archivists who knew the rules, and applied them diligently. When space for more file cabinets ran out, the records were put in boxes, marked with a destruction date, and shipped out to a box store (a paper records outsource provider). When the destruction date was reached, the box store would take care of destroying it, and recording the fact that it had been done.
Nowadays, records exist in electronic form all over the business, often well beyond the reach of the traditional custodians. So we now need much wider “Information Governance Policies” to ensure that our corporate information (and our customers’ information) is secure and is easily located. In particular, businesses are increasingly faced with the possibility of high profile criminal, commercial and patent cases that hinge on evidence from electronic documents, from emails, and even from social network comments. So these records need to be “discoverable” and presentable to regulators and lawyers. And as the argument moves on from “how do we keep stuff?” to “how can we defensibly get rid of stuff?”, we need to examine what shape enterprise records management takes and, in the big data age, how do we keep a lid on the escalating costs of content storage?
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applied to a new generation of applications that use computer intelligence to extract context-relevant
information from the content associated with a business process, and use it to select, modify or re-direct the
next steps in the workflow. One of its primary applications is in case management. Here the term “case” is
used in its widest sense to refer to any process or project that has a defined beginning and end, where the
process steps and outcome may change during the course of the process, and where associated content
needs to be grouped and managed as a case-file or project-file. Applications can range from payment
management, through contract bids, claims handling and loan origination, to traditional healthcare, crime or
legal cases.
Historically, case management systems and indeed most BPM systems have been somewhat rigid in their
workflows, lacking the ability to re-route as the case progresses – much like early satnavs, in fact. However,
a completely free-to-change process definition could introduce shortfalls in compliance and may well be
sub-optimum in terms of productivity. By adapting the process definition as the case progresses and doing
so based on the content and context of documents incoming to the case, the process can be handled
flexibly but compliance is still hard-wired.
In this report, we take an in-depth look at the applicability of smart process applications, the experience of
early users, the drivers for improved case management, and the feature sets required of a modern case
management system.
Scanning documents is the first step in the process and brings many business benefits; however, it is capturing information from the page that is the biggest value proposition. Automatically capturing data from the scanned document, validating and interpreting it, eliminates costly process steps, leading to improvements in productivity, customer satisfaction, accuracy of information, and better governance and compliance.
Aiim White Paper: Document Process Outsourcing: in-house, onshore, near shore...Swiss Post Solutions
Document Process Outsourcing (DPO) has been a feature of the business landscape for nearly three decades. Initially confined to scanning operations dedicated to digitizing historical records, the field now encompasses a wide range of services potentially covering every process from capturing inbound documents, forms and invoices (electronic or paper) to outbound print and multi-channel communications, with varying degrees of process involvement in between. However, the drivers for outsourcing have always been competency, cost or convenience.
Global Wireless Slate Market PPT(2021- 2026) : Global Trends, Scope, Demand,...IMARC Group
According to the latest report by IMARC Group,finds that the global wireless slate market exhibited moderate growth during 2015-2020.A wireless slate refers to a device used to control the computer connected to an interactive whiteboard or projector screen. It consists of a touch-sensitive surface attached with a stylus pen that allows the users to write and draw with digital ink, access files and operate on-screen applications.
Digital asset management Market PPT 2021: Size, Growth, Demand and Forecast ...IMARC Group
According to the latest report by IMARC Group,the global digital asset management market size reached around US$ 3.88 Billion in 2020.
Digital assets refer to documents, audio, animation, pictures, and other media content that requires proper rights to use them.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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The capacity of computers to recognize meaning in text, sound or images has progressed slowly and steadily over many years, but with the arrival of multi-processor cores, and the continual refinement of software algorithms, we are in a position where both the speed and the accuracy of recognition can support a wide range of applications. In particular, when we add analysis to recognition, we can match
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Bob Boule
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GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...
The Paper Free Office - Dream or Reality?
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