1) Content analytics is being adopted by organizations to automate processes, improve information governance, enable better search and business insight. 34% of respondents currently use it and 44% plan to adopt it.
2) Drivers for adoption include enhancing legacy content value, controlling content chaos, and gaining business insight. Lack of expertise and need to set governance policies are barriers.
3) Uses include auto-classifying inbound content, routing emails to processes, and triggering processes from content to streamline workflows. Improved governance and happier staff are benefits.
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.
Smart Process Applications (SPAs), Intelligent Business Processes, Adaptive BPM: these are all terms
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.
A Global Web Enablement Framework for Small Charities and Voluntary Sector Or...Tom Robinson
With more people gaining access to the internet every day, the web enabling of core services and business processes is becoming essential. There is a great deal of existing research covering techniques and approaches to web enablement for commercial and public sector organisations, but very little that is aimed specifically at small charities and voluntary sector organisations. Numerous studies have shown that charities often lag behind commercial organisations when it comes to their internet infrastructure and the extent of web enablement. This dissertation investigates the needs and issues which charities face, in order to define a number of key web enablement aims and objectives. Some problems are unique to the charitable sector whilst others apply to all types of organisations.
As most web applications can be accessed from anywhere in the world, globalisation is an inherent web development issue. A number of the most common issues associated with globalisation are examined and current best practice solutions suggested.
The Foundations, Fundamentals, Features and Future (F4) Framework is the outcome of the research into the situation, needs and issues faced by charitable organisations. It offers a simple but detailed framework designed specially for web enablement projects within charitable organisations. The framework is broken down into four key stages of web enablement – foundations, fundamentals, features and future possibility. Through the four layers, the framework covers key business drivers, internet access and security, error-handling techniques through to global database access and undeveloped future technologies.
The framework was developed and refined through research and work undertaken with GAP Activity Projects, a worldwide gap year charity. To demonstrate the implementation of the framework, GAP is used as a case study. A number of web and related applications are developed and evaluated including an online application system, mass mailing tools and an extranet application. The case study demonstrates a number of novel techniques that have been developed to solve some of the problems which were faced, including the use of XML as a data storage method and a unique form validation technique.
Although the evaluation of the framework shows that it meets well the objectives it set out to achieve, there are opportunities for improvement and future work. A number of future expansions possibilities are examined including the use of mobile technology and content management systems.
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.
Smart Process Applications (SPAs), Intelligent Business Processes, Adaptive BPM: these are all terms
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.
A Global Web Enablement Framework for Small Charities and Voluntary Sector Or...Tom Robinson
With more people gaining access to the internet every day, the web enabling of core services and business processes is becoming essential. There is a great deal of existing research covering techniques and approaches to web enablement for commercial and public sector organisations, but very little that is aimed specifically at small charities and voluntary sector organisations. Numerous studies have shown that charities often lag behind commercial organisations when it comes to their internet infrastructure and the extent of web enablement. This dissertation investigates the needs and issues which charities face, in order to define a number of key web enablement aims and objectives. Some problems are unique to the charitable sector whilst others apply to all types of organisations.
As most web applications can be accessed from anywhere in the world, globalisation is an inherent web development issue. A number of the most common issues associated with globalisation are examined and current best practice solutions suggested.
The Foundations, Fundamentals, Features and Future (F4) Framework is the outcome of the research into the situation, needs and issues faced by charitable organisations. It offers a simple but detailed framework designed specially for web enablement projects within charitable organisations. The framework is broken down into four key stages of web enablement – foundations, fundamentals, features and future possibility. Through the four layers, the framework covers key business drivers, internet access and security, error-handling techniques through to global database access and undeveloped future technologies.
The framework was developed and refined through research and work undertaken with GAP Activity Projects, a worldwide gap year charity. To demonstrate the implementation of the framework, GAP is used as a case study. A number of web and related applications are developed and evaluated including an online application system, mass mailing tools and an extranet application. The case study demonstrates a number of novel techniques that have been developed to solve some of the problems which were faced, including the use of XML as a data storage method and a unique form validation technique.
Although the evaluation of the framework shows that it meets well the objectives it set out to achieve, there are opportunities for improvement and future work. A number of future expansions possibilities are examined including the use of mobile technology and content management systems.
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?
In this survey, AIIM looks at the risk profile around electronic records, the keep-all versus delete-all options, the international view of e-discovery, and the implications of social, mobile and cloud on RM policies. We also look at the development of enterprise-wide governance policies, and how they translate into system strategies.
Emerging Technologies For Business Intelligence, Analytics, and Data Warehousing
Report Purpose. This report educates organizations worldwide about the inventory of
currently available emerging technologies and methods (ETMs) as they apply directly
to business intelligence (BI), analytics, and data warehousing (DW). TDWI
assumes that the innovations and excitement of ETMs can make BI, DW, and
analytics more appealing, pervasive, insightful, and actionable.
The Microsoft Platform for Education Analytics (MPEA) is an integrated technology architecture connecting all people across primary and secondary schools with the information they need to direct their actions in a manner consistent with the goals and priorities of the educational institution. The model is differentiated from more common approaches that focus primarily on business intelligence (BI) tools. The Microsoft® approach incorporates BI as a component of a more comprehensive architecture that unifies quantitative analytics with qualitative assessment within a familiar collaborative environment. The integrated architecture is targeted at aligning daily activities with strategic priorities and capturing front-line observations that inform strategic planning. The MPEA is not something that educational institutions need to “go buy.” In fact, the overwhelming majority of primary and secondary schools already license and use many of the Microsoft products that comprise the key components of the architecture. It is the underlying Microsoft technologies that enable broad and impactful adoption across educational institutions because they are both affordable and familiar. This is, however, a comprehensive approach that educational executives must lead. Successful utilisation of this model is primarily dependent upon executive leadership guiding a scholastic commitment to foster a culture of evidence and accountability corresponding directly to mission, vision, and goals. This paper describes the Microsoft Platform for Education Analytics and explains how technology that is already owned (affordable) and already used (familiar) can be broadly adopted across primary and secondary schools. This platform supports a culture where goal-focused and evidence-based behaviour optimises school resources toward balanced goal attainment across administrative efficiencies (business), academic outcomes (learning), and constituent relationships (lifestyle). Working towards goals across the educational institution leads to fulfilling the primary and secondary schools’ mission and advancing the institutional vision.
Research & Innovation and user-centered solutions have been the hallmark of our growth, reflecting our culture of technology and shared ideas. Since 2007, we have fostered a culture of innovation and creativity by delivering the solutions that our clients need to succeed.
A manual for the separation of IT during corporate re-organizations. The document contains a good foundation to IT M&A and PMI (post mergers integration). A good read for young consultants.
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?
In this survey, AIIM looks at the risk profile around electronic records, the keep-all versus delete-all options, the international view of e-discovery, and the implications of social, mobile and cloud on RM policies. We also look at the development of enterprise-wide governance policies, and how they translate into system strategies.
Emerging Technologies For Business Intelligence, Analytics, and Data Warehousing
Report Purpose. This report educates organizations worldwide about the inventory of
currently available emerging technologies and methods (ETMs) as they apply directly
to business intelligence (BI), analytics, and data warehousing (DW). TDWI
assumes that the innovations and excitement of ETMs can make BI, DW, and
analytics more appealing, pervasive, insightful, and actionable.
The Microsoft Platform for Education Analytics (MPEA) is an integrated technology architecture connecting all people across primary and secondary schools with the information they need to direct their actions in a manner consistent with the goals and priorities of the educational institution. The model is differentiated from more common approaches that focus primarily on business intelligence (BI) tools. The Microsoft® approach incorporates BI as a component of a more comprehensive architecture that unifies quantitative analytics with qualitative assessment within a familiar collaborative environment. The integrated architecture is targeted at aligning daily activities with strategic priorities and capturing front-line observations that inform strategic planning. The MPEA is not something that educational institutions need to “go buy.” In fact, the overwhelming majority of primary and secondary schools already license and use many of the Microsoft products that comprise the key components of the architecture. It is the underlying Microsoft technologies that enable broad and impactful adoption across educational institutions because they are both affordable and familiar. This is, however, a comprehensive approach that educational executives must lead. Successful utilisation of this model is primarily dependent upon executive leadership guiding a scholastic commitment to foster a culture of evidence and accountability corresponding directly to mission, vision, and goals. This paper describes the Microsoft Platform for Education Analytics and explains how technology that is already owned (affordable) and already used (familiar) can be broadly adopted across primary and secondary schools. This platform supports a culture where goal-focused and evidence-based behaviour optimises school resources toward balanced goal attainment across administrative efficiencies (business), academic outcomes (learning), and constituent relationships (lifestyle). Working towards goals across the educational institution leads to fulfilling the primary and secondary schools’ mission and advancing the institutional vision.
Research & Innovation and user-centered solutions have been the hallmark of our growth, reflecting our culture of technology and shared ideas. Since 2007, we have fostered a culture of innovation and creativity by delivering the solutions that our clients need to succeed.
A manual for the separation of IT during corporate re-organizations. The document contains a good foundation to IT M&A and PMI (post mergers integration). A good read for young consultants.
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
1. AIIM Market Intelligence
Delivering the priorities and opinions of AIIM’s 80,000 community
Content Analytics:
automating processes and extracting
knowledge
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