The C-level executives are puzzled rightfully, why CDI projects are so complex, time consuming and too expensive when the subject matter is simply the "CUSTOMER" data. Achieving nirvana for a robust CDI solution is far fetched given the maturity level at present of CDI/MDM technologies. It is in this context that this paper makes an attempt to provide a direction with golden rules [Best Practices], distilled with years of experience to smoothen any CDI implementation.
Objectives:
1) Discuss the challenges associated with customer data management
2) Present the Best Practices in managing the customer data
3) Discuss the importance of Data Quality and Data Governance
For white paper which has more detailed information of this presentation, please send an email. Email address is listed in the last slide of this presentation.
The C-level executives are puzzled and rightfully so, as to why MDM/CDI projects are so complex, time consuming and expensive when the subject matter is simply the "CUSTOMER" data. Achieving nirvana for a robust CDI solution is far fetched given the current maturity level of MDM/CDI technologies. It is in this context that this presentation makes an attempt to provide a direction with TWENTY FIVE golden rules, distilled with years of experience to clear the path for any MDM/CDI implementation.
Master Data Management (MDM) has been one of the hot technology areas that are striving to solve the age old data quality and data management problems of the Master Data such as Customer, Product, Chart of Accounts (COA), etc. Of late given the ever increasing capabilities of Hardware, global single instances of packaged applications, mergers and acquisitions, it has become apparent that the data quality problems associated with Master data have been continue to worsen. It is in this context that the MDM solutions try to address the management of master data with robust data quality solutions. The Trading Community Architecture (TCA) framework is an Oracle's answer to solve the problem associated with managing the customer data. Of late the TCA has evolved much more into managing of Location data, Supplier data, Citizen Data, etc. The objective of this session is to provide the overview of Master Data Management (MDM) and Oracle's Trading Community Architecture (TCA) and how it can be used to model the customer data in an enterprise. This is an entry level session and any one with keen interest to learn what MDM and TCA can attend this session. Learn the basics of Master Data Management (MDM), MDM for Customer, and Oracle's Trading Community Architectue (TCA) Learn about the importance of MDM to an enterprise Take a brief look at the TCA's logical data model and the power/flexibility of model to solution cusotmer data
This session covers a brief introduction about Fusion Applications and the session progresses into the discussion of some of the highlights of the Fusion MDM for Customer application.
The session will begin with the history of the oracles endeavor with CDI solutions with their Oracle CDH product and brief functionality of R11i. And the session quickly progresses into the new features and functionality of the R12 version of the CDH product. The session concludes with the potential future aspects of the product beyond R12.
Objectives:
1) Bring the audience up to the speed by discussing R11i version of the Oracle CDH product and TCA.
2) Educate the audience about the improvements and new features made available in R12.
3) And conclude the presentation with oracle’s future directions of the Oracle CDH products beyond R12.
MDM Institute: Why is Reference data mission critical now?Orchestra Networks
Learn why market-leading enterprises are focusing on RDM in this exclusive webinar from MDM research analyst Aaron Zornes
More than 55% of large enterprises surveyed by the MDM Institute are planning on implementing reference data management (RDM) in the next 18 months.
Why is RDM mission critical today?
How does RDM differ from (how is it similar to) MDM?
What are the top business drivers for RDM?
What are the “top 10” technical evaluation criteria?
Where are most organizations focusing their RDM efforts?
Aaron Zornes, Chief Research Officer of the MDM Institute, answers these questions and more when he reveals findings from the first ever RDM market study based on a 1Q2014 survey of 75+ global 5000 size enterprises.
White Paper - The Business Case For Business IntelligenceDavid Walker
This white paper looks at the business case that should lie behind the decision to build a data warehouse and provide a business intelligence solution.
There are three primary drivers for making the investment in a business intelligence solution
1. Measurement and management of the business process
2. Analysis of why things change in the business in order to react better in the future
3. Providing information for stakeholders
As a consequence of the investment there will also be a number of secondary benefits that will help to justify the investment and these are also discussed. Finally there are a number of ‘anti-drivers’ – reasons for not embarking on a business intelligence programme.
The C-level executives are puzzled and rightfully so, as to why MDM/CDI projects are so complex, time consuming and expensive when the subject matter is simply the "CUSTOMER" data. Achieving nirvana for a robust CDI solution is far fetched given the current maturity level of MDM/CDI technologies. It is in this context that this presentation makes an attempt to provide a direction with TWENTY FIVE golden rules, distilled with years of experience to clear the path for any MDM/CDI implementation.
Master Data Management (MDM) has been one of the hot technology areas that are striving to solve the age old data quality and data management problems of the Master Data such as Customer, Product, Chart of Accounts (COA), etc. Of late given the ever increasing capabilities of Hardware, global single instances of packaged applications, mergers and acquisitions, it has become apparent that the data quality problems associated with Master data have been continue to worsen. It is in this context that the MDM solutions try to address the management of master data with robust data quality solutions. The Trading Community Architecture (TCA) framework is an Oracle's answer to solve the problem associated with managing the customer data. Of late the TCA has evolved much more into managing of Location data, Supplier data, Citizen Data, etc. The objective of this session is to provide the overview of Master Data Management (MDM) and Oracle's Trading Community Architecture (TCA) and how it can be used to model the customer data in an enterprise. This is an entry level session and any one with keen interest to learn what MDM and TCA can attend this session. Learn the basics of Master Data Management (MDM), MDM for Customer, and Oracle's Trading Community Architectue (TCA) Learn about the importance of MDM to an enterprise Take a brief look at the TCA's logical data model and the power/flexibility of model to solution cusotmer data
This session covers a brief introduction about Fusion Applications and the session progresses into the discussion of some of the highlights of the Fusion MDM for Customer application.
The session will begin with the history of the oracles endeavor with CDI solutions with their Oracle CDH product and brief functionality of R11i. And the session quickly progresses into the new features and functionality of the R12 version of the CDH product. The session concludes with the potential future aspects of the product beyond R12.
Objectives:
1) Bring the audience up to the speed by discussing R11i version of the Oracle CDH product and TCA.
2) Educate the audience about the improvements and new features made available in R12.
3) And conclude the presentation with oracle’s future directions of the Oracle CDH products beyond R12.
MDM Institute: Why is Reference data mission critical now?Orchestra Networks
Learn why market-leading enterprises are focusing on RDM in this exclusive webinar from MDM research analyst Aaron Zornes
More than 55% of large enterprises surveyed by the MDM Institute are planning on implementing reference data management (RDM) in the next 18 months.
Why is RDM mission critical today?
How does RDM differ from (how is it similar to) MDM?
What are the top business drivers for RDM?
What are the “top 10” technical evaluation criteria?
Where are most organizations focusing their RDM efforts?
Aaron Zornes, Chief Research Officer of the MDM Institute, answers these questions and more when he reveals findings from the first ever RDM market study based on a 1Q2014 survey of 75+ global 5000 size enterprises.
White Paper - The Business Case For Business IntelligenceDavid Walker
This white paper looks at the business case that should lie behind the decision to build a data warehouse and provide a business intelligence solution.
There are three primary drivers for making the investment in a business intelligence solution
1. Measurement and management of the business process
2. Analysis of why things change in the business in order to react better in the future
3. Providing information for stakeholders
As a consequence of the investment there will also be a number of secondary benefits that will help to justify the investment and these are also discussed. Finally there are a number of ‘anti-drivers’ – reasons for not embarking on a business intelligence programme.
In your cloud transition, don’t overlook the finance and accounting implications, which influence efforts from risk management and security to regulatory compliance. Reap the full benefits of an enterprisewide cloud deployment by following four strategies that will help you consider the holistic impact of the cloud.
Learn more - http://gt-us.co/1wJulWG
IRM Data Governance Conference February 2009, London. Presentation given on the Data Governance challenges being faced by BP and the approaches to address them.
The Data Driven University - Automating Data Governance and Stewardship in Au...Pieter De Leenheer
Data Governance and Stewardship requires automation of business semantics management at its nucleus, in order to achieve data trust between business and IT communities in the organization. University divisions operate highly autonomously and decentralized, and are often geographically distributed. Hence, they benefit more from an collaborative and agile approach to Data Governance and Stewardship approach that adapts to its nature.
In this lecture, we start by reviewing 'C' in ICT and reflect on the dilemma: what is the most important quality of data being shared: truth or trust? We review the wide spectrum of business semantics. We visit the different phases of growing data pain as an organization expands, and we map each phase on this spectrum of semantics.
Next, we introduce our principles and framework for business semantics management to support Data Governance and Stewardship focusing on the structural (what), processual (how) and organizational (who) components. We illustrate with use cases from Stanford University, George Washington University and Public Science and Innovation Administrations.
Razorfish Multi-Channel Marketing: Better Customer Segmentation and TargetingTeradata Aster
Matt Comstock, Vice President Business Intelligence Office, Razorfish, presents at the Big Analytics 2012 Roadshow.
From search to email to social, customers are interacting with your brand across a variety of channels. But what do people do once they view an advertisement or get an email? What common behaviors are displayed once they’re on your site? By combining media exposure/behavior, site-side media, and in-store purchase data, you can understand better the impact media has on driving value to your business. Come to this session to learn how better data-driven multi-channel analysis lets you see what consumers do before they become a customer to understand what content influences which segments of users by media audience. Discover new segmentation and targeting strategies to improve engagement with your brand and increase advertising lift. See how a leader in digital marketing uses a combination of technologies including Teradata Aster, Hadoop, and Amazon Web Services to handle big data and provide big analytics to improve business value.
White Paper - Data Warehouse GovernanceDavid Walker
An organisation that is embarking on a data warehousing project is undertaking a long-term development and maintenance programme of a computer system. This system will be critical to the organisation and cost a significant amount of money, therefore control of the system is vital. Governance defines the model the organisation will use to ensure optimal use and re- use of the data warehouse and enforcement of corporate policies (e.g. business design, technical design and application security) and ultimately derive value for money.
This paper has identified five sources of change to the system and the aspects of the system that these sources of change will influence in order to assist the organisation to develop standards and structures to support the development and maintenance of the solution. These standards and structures must then evolve, as the programme develops to meet its changing needs.
“Documentation is not understanding, process is not discipline, formality is not skill”1
The best governance must only be an aid to the development and not an end in itself. Data Warehouses are successful because of good understanding, discipline and the skill of those involved. On the other hand systems built to a template without understanding, discipline and skill will inevitably deliver a system that fails to meet the users’ needs and sooner rather than later will be left on the shelf, or maintained at a very high cost but with little real use.
A 3 day examination preparation course including live sitting of examinations for students who wish to attain the DAMA Certified Data Management Professional qualification (CDMP)
chris.bradley@dmadvisors.co.uk
Blue Cross Blue Shield of North Carolina (BCBSNC) needed to reduce costs in IT but at the same time increase responsiveness to the business units of this Health Care services company. In February 2012, their IT infrastructure operations and data center was outsourced to Fujitsu North America, but then BCBSNC needed to figure out how to manage the huge anticipated transformation to ITIL v3 and improved services, the contract, and the demand for services. This was their first major outsourcing engagement and it brought tremendous changes to the organization, both in the IT area and also in the company at large. At the 2013 IAOP Outsourcing World Summit, the speakers discussed this project, as well as the inception of the Enterprise sourcing office which was created at the same time. The development of the governance program, creation of the governance team, selection and prioritization of processes for deployment, organizational change and transformation approach, process development, and rollout of processes to ensure compliance were covered.
What Is My Enterprise Data Maturity 2021DATAVERSITY
Maturity frameworks have varying levels of Data Management maturity. Each level corresponds to not only increased data maturity but also increased organizational maturity and bottom-line ROI. There are recommended targets to achieve an effective information management program. The speaker’s maturity framework sequences the information management activities for your consideration. It is based on real client roadmaps. This webinar promises to offer a wealth of ideas for key quick wins to benefit the organization’s information management program.
Attendees can self-assess their current information management capabilities as we go through Data Strategy, organization, architecture, and technology, yielding an overall view of the current level of information management maturity.
This webinar provides a foundation for enhancing current data and analytic capabilities and updating the strategy and plans for the achievement of improved information management maturity, aligned with major initiatives.
Enterprise Information Management Strategy - a proven approachSam Thomsett
Access a proven approach to Enterprise Information Management Strategy - providing a framework for Digital Transformation - by a leader in Information Management Consulting - Entity Group
Business Intelligence:Optimizing Data Across the EnterpriseProformative, Inc.
Financial professionals often have too little and too much information at the same time. What they need is the data to make a great business decision fast. Discover how the finance executive of 2011 sifts through an exponentially growing pile of internal and external data to determine the best way to integrate and channel information to the right decision makers, at the right time, while maintaining appropriate controls over critical enterprise data.
Oracle has recently launced a new MDM hub for tackling the Site domain. Many organizations in industries such as Retail, Utilities, Financials, etc., have a huge problem to manage site information in their business context and all of the information (lots of attributes) that they need to manage at these site levels. Oracle addresses this need through the launching of their Site Hub product
This presentation talks about few of the use cases for SIte Hub and discusses the features of the Site Hub product.
In your cloud transition, don’t overlook the finance and accounting implications, which influence efforts from risk management and security to regulatory compliance. Reap the full benefits of an enterprisewide cloud deployment by following four strategies that will help you consider the holistic impact of the cloud.
Learn more - http://gt-us.co/1wJulWG
IRM Data Governance Conference February 2009, London. Presentation given on the Data Governance challenges being faced by BP and the approaches to address them.
The Data Driven University - Automating Data Governance and Stewardship in Au...Pieter De Leenheer
Data Governance and Stewardship requires automation of business semantics management at its nucleus, in order to achieve data trust between business and IT communities in the organization. University divisions operate highly autonomously and decentralized, and are often geographically distributed. Hence, they benefit more from an collaborative and agile approach to Data Governance and Stewardship approach that adapts to its nature.
In this lecture, we start by reviewing 'C' in ICT and reflect on the dilemma: what is the most important quality of data being shared: truth or trust? We review the wide spectrum of business semantics. We visit the different phases of growing data pain as an organization expands, and we map each phase on this spectrum of semantics.
Next, we introduce our principles and framework for business semantics management to support Data Governance and Stewardship focusing on the structural (what), processual (how) and organizational (who) components. We illustrate with use cases from Stanford University, George Washington University and Public Science and Innovation Administrations.
Razorfish Multi-Channel Marketing: Better Customer Segmentation and TargetingTeradata Aster
Matt Comstock, Vice President Business Intelligence Office, Razorfish, presents at the Big Analytics 2012 Roadshow.
From search to email to social, customers are interacting with your brand across a variety of channels. But what do people do once they view an advertisement or get an email? What common behaviors are displayed once they’re on your site? By combining media exposure/behavior, site-side media, and in-store purchase data, you can understand better the impact media has on driving value to your business. Come to this session to learn how better data-driven multi-channel analysis lets you see what consumers do before they become a customer to understand what content influences which segments of users by media audience. Discover new segmentation and targeting strategies to improve engagement with your brand and increase advertising lift. See how a leader in digital marketing uses a combination of technologies including Teradata Aster, Hadoop, and Amazon Web Services to handle big data and provide big analytics to improve business value.
White Paper - Data Warehouse GovernanceDavid Walker
An organisation that is embarking on a data warehousing project is undertaking a long-term development and maintenance programme of a computer system. This system will be critical to the organisation and cost a significant amount of money, therefore control of the system is vital. Governance defines the model the organisation will use to ensure optimal use and re- use of the data warehouse and enforcement of corporate policies (e.g. business design, technical design and application security) and ultimately derive value for money.
This paper has identified five sources of change to the system and the aspects of the system that these sources of change will influence in order to assist the organisation to develop standards and structures to support the development and maintenance of the solution. These standards and structures must then evolve, as the programme develops to meet its changing needs.
“Documentation is not understanding, process is not discipline, formality is not skill”1
The best governance must only be an aid to the development and not an end in itself. Data Warehouses are successful because of good understanding, discipline and the skill of those involved. On the other hand systems built to a template without understanding, discipline and skill will inevitably deliver a system that fails to meet the users’ needs and sooner rather than later will be left on the shelf, or maintained at a very high cost but with little real use.
A 3 day examination preparation course including live sitting of examinations for students who wish to attain the DAMA Certified Data Management Professional qualification (CDMP)
chris.bradley@dmadvisors.co.uk
Blue Cross Blue Shield of North Carolina (BCBSNC) needed to reduce costs in IT but at the same time increase responsiveness to the business units of this Health Care services company. In February 2012, their IT infrastructure operations and data center was outsourced to Fujitsu North America, but then BCBSNC needed to figure out how to manage the huge anticipated transformation to ITIL v3 and improved services, the contract, and the demand for services. This was their first major outsourcing engagement and it brought tremendous changes to the organization, both in the IT area and also in the company at large. At the 2013 IAOP Outsourcing World Summit, the speakers discussed this project, as well as the inception of the Enterprise sourcing office which was created at the same time. The development of the governance program, creation of the governance team, selection and prioritization of processes for deployment, organizational change and transformation approach, process development, and rollout of processes to ensure compliance were covered.
What Is My Enterprise Data Maturity 2021DATAVERSITY
Maturity frameworks have varying levels of Data Management maturity. Each level corresponds to not only increased data maturity but also increased organizational maturity and bottom-line ROI. There are recommended targets to achieve an effective information management program. The speaker’s maturity framework sequences the information management activities for your consideration. It is based on real client roadmaps. This webinar promises to offer a wealth of ideas for key quick wins to benefit the organization’s information management program.
Attendees can self-assess their current information management capabilities as we go through Data Strategy, organization, architecture, and technology, yielding an overall view of the current level of information management maturity.
This webinar provides a foundation for enhancing current data and analytic capabilities and updating the strategy and plans for the achievement of improved information management maturity, aligned with major initiatives.
Enterprise Information Management Strategy - a proven approachSam Thomsett
Access a proven approach to Enterprise Information Management Strategy - providing a framework for Digital Transformation - by a leader in Information Management Consulting - Entity Group
Business Intelligence:Optimizing Data Across the EnterpriseProformative, Inc.
Financial professionals often have too little and too much information at the same time. What they need is the data to make a great business decision fast. Discover how the finance executive of 2011 sifts through an exponentially growing pile of internal and external data to determine the best way to integrate and channel information to the right decision makers, at the right time, while maintaining appropriate controls over critical enterprise data.
Oracle has recently launced a new MDM hub for tackling the Site domain. Many organizations in industries such as Retail, Utilities, Financials, etc., have a huge problem to manage site information in their business context and all of the information (lots of attributes) that they need to manage at these site levels. Oracle addresses this need through the launching of their Site Hub product
This presentation talks about few of the use cases for SIte Hub and discusses the features of the Site Hub product.
An Overview of Dow Jones' Use of Semantic TechnologiesChristine Connors
Slides from a brief talk given at the semweb meetup in Cambridge, MA on October 14, 2008. An overview of how semantic technologies/solutions are used at Dow Jones.
Site/Location Hub is an MDM solution for mastering site/location data in an enterprise to facilitate the management of enterprise wide (single) view of locations and associated information with key MDM features such as Data Quality, Extensibility, etc., built in.
Features best practices and resources for implementing SharePoint now with minimal investment. If you like this deck and want to see a live event, go to www.quilogy.com/events.
Missouri Issues in Workers’ Compensation General SessionKurt Madel
Brian Ronnau, Director of CapTech’s State Workers’ Compensation Practice, is the featured speaker at the Missouri Division of Workers’ Compensation 15th annual conference held June 8th and 9th in Osage Beach, MO. Mr. Ronnau’s topic is “The Missouri Division of Workers Compensation Business Analysis: Where We Have Been and Where We Are Going.” He will elaborate on the challenges and potential solutions facing the Division of Workers’ Compensation (DWC) and its key stakeholders in Missouri.
Similar to Golden Rules [Best Practices] to tame the MDM/CDI Beast (20)
Oracle has been working hard for several years in building Oracle Fusion Applications which are slated to be released sometime during 2010. In this session, you will learn basic concepts of Fusion Applications, User Experience/UI Shell, features and functionality of Applciations. Present information about the Oracle Fusion Applications Present key concepts and ideas behind Fusion Applications Discuss the key technologies used by Oracle for Fusion Applications
Oracle has been working hard for several years in building Oracle Fusion Applications which are slated to be released sometime during 2010. In this session, you will learn basic concepts of Fusion Applications, User Experience/UI Shell, features and functionality of Applciations. Present information about the Oracle Fusion Applications Present key concepts and ideas behind Fusion Applications Discuss the key technologies used by Oracle for Fusion Applications
A primer about Oracle eBusiness Suite (EBS) of applications for PeopleSoft users. Various features from PeopleSoft are compared with similar features in Oracle eBusiness Suite.
This presentation primarily focuses on all new features and functionality introduced as part of R12 for Trading Community Architecture (TCA) and Oracle Customer Data Hub (CDH) product.
Between Rock and Hard Place! Huh! Well that’s exactly the choices you will have when it is time for you to decide on what customer model to use for your implementation. This session focuses on two extreme ends of the customer modeling – Party Centric approach and Site Centric approach and impacts of these approaches on various business flows covering the entire spectrum of Campaign to Cash flow including Marketing, Sales Scenarios. Additionally we will also delve into Call to Resolution process flows and Self service support flows as well from Service perspective.
This paper enumerates the strengths and weaknesses of choosing either modeling approaches for the above process flows to help you make informed decisions.
"Impact of front-end architecture on development cost", Viktor TurskyiFwdays
I have heard many times that architecture is not important for the front-end. Also, many times I have seen how developers implement features on the front-end just following the standard rules for a framework and think that this is enough to successfully launch the project, and then the project fails. How to prevent this and what approach to choose? I have launched dozens of complex projects and during the talk we will analyze which approaches have worked for me and which have not.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.