This document discusses information governance and data quality. It begins by defining information governance as a discipline for overseeing enterprise information to improve business value. It then discusses why data quality is important, noting that poor data quality can lead to lower profits, poor customer relations, and low productivity. The document emphasizes that information governance is key to managing data quality and achieving business goals. It also provides an overview of SAP's solutions for information governance and data quality.
The Data Governance Annual Conference and International Data Quality Conference in San Diego was very good. I recommend this conference for business and IT persons responsible for data quality and data governenance. There will be a similar event in Orlando, December 2010. This is the presentation I delivered to a grateful audience.
Top 4 Priorities in Building Insurance Data Governance Programs That WorkPrecisely
Traditional insurance data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves governance leaders and data stewards having to continually make the case for data governance to secure business adoption.
During this on-demand webinar, we will share the core components of a business-first data governance approach that promotes organizational adoption, lays the foundation for data integrity, and consistently delivers business value for the long term.
Kickstart a Data Quality Strategy to Build Trust in DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this on-demand session to learn key metrics and steps you can take to kickstart a data quality strategy.
Data Integrity: The Baseline for InnovationPrecisely
Leveraging technology to achieve innovative and disruptive business outcomes is top of mind for IT Executives. Delivering on that is a strategic balancing act of solving complex data issues that impact overall data integrity, while empowering teams to achieve those goals. Precisely, the global leader in data integrity shares the value of enabling your teams with the ability to access, understand, trust, and add context to data through our data integrity portfolio. With unmatched data expertise, Precisely builds partnerships to manage your technology needs with a unique combination of flexible and modular software, data enrichment, and strategic services.
The business models across industries around the world are becoming Customer Centric. Recent studies show that “knowing” customers based on internal as well as external data is one of the top priorities of business leaders. On the other hand various surveys also reveal that customers do not mind to share their semi-personal data for the benefit of differentiated service. In that context, the 360 degree view of customer – which was once thought to be a business process, master data management, data integration and data warehouse / business intelligence related problem has now entered into the whole new big world of BIG data including integration with unstructured data sources. Impact of big data on Customer Master Data Management is spread across - from Integration and linkage of unstructured or semi-structured data with structured master data that is maintained within enterprise; to analyze and visualization of the same to generate useful insight about the customers. There are various patterns to handle the challenges across the steps i.e. acquire, link, manage, analyze and distribute the enhanced customer data for differentiated product or services.
These slides--based on the webinar--from leading IT analyst firm Enterprise Management Associates (EMA) and Attunity provide insights into how organizations are overcoming inherent challenges to enable SAP data-driven initiatives and meet the analytics goals of their organization with modern data integration and management.
Slide deck from a webinar presented by Earley Information Science on "MDM - The Key to Successful Customer Experience Management." Featured speaker is EIS Director of Delivery Services, Tim Barnes.
The Data Governance Annual Conference and International Data Quality Conference in San Diego was very good. I recommend this conference for business and IT persons responsible for data quality and data governenance. There will be a similar event in Orlando, December 2010. This is the presentation I delivered to a grateful audience.
Top 4 Priorities in Building Insurance Data Governance Programs That WorkPrecisely
Traditional insurance data governance initiatives fail by focusing too heavily on policies, compliance, and enforcement, which quickly lose business interest and support. This leaves governance leaders and data stewards having to continually make the case for data governance to secure business adoption.
During this on-demand webinar, we will share the core components of a business-first data governance approach that promotes organizational adoption, lays the foundation for data integrity, and consistently delivers business value for the long term.
Kickstart a Data Quality Strategy to Build Trust in DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this on-demand session to learn key metrics and steps you can take to kickstart a data quality strategy.
Data Integrity: The Baseline for InnovationPrecisely
Leveraging technology to achieve innovative and disruptive business outcomes is top of mind for IT Executives. Delivering on that is a strategic balancing act of solving complex data issues that impact overall data integrity, while empowering teams to achieve those goals. Precisely, the global leader in data integrity shares the value of enabling your teams with the ability to access, understand, trust, and add context to data through our data integrity portfolio. With unmatched data expertise, Precisely builds partnerships to manage your technology needs with a unique combination of flexible and modular software, data enrichment, and strategic services.
The business models across industries around the world are becoming Customer Centric. Recent studies show that “knowing” customers based on internal as well as external data is one of the top priorities of business leaders. On the other hand various surveys also reveal that customers do not mind to share their semi-personal data for the benefit of differentiated service. In that context, the 360 degree view of customer – which was once thought to be a business process, master data management, data integration and data warehouse / business intelligence related problem has now entered into the whole new big world of BIG data including integration with unstructured data sources. Impact of big data on Customer Master Data Management is spread across - from Integration and linkage of unstructured or semi-structured data with structured master data that is maintained within enterprise; to analyze and visualization of the same to generate useful insight about the customers. There are various patterns to handle the challenges across the steps i.e. acquire, link, manage, analyze and distribute the enhanced customer data for differentiated product or services.
These slides--based on the webinar--from leading IT analyst firm Enterprise Management Associates (EMA) and Attunity provide insights into how organizations are overcoming inherent challenges to enable SAP data-driven initiatives and meet the analytics goals of their organization with modern data integration and management.
Slide deck from a webinar presented by Earley Information Science on "MDM - The Key to Successful Customer Experience Management." Featured speaker is EIS Director of Delivery Services, Tim Barnes.
Although Big Data is changing enterprise data architecture models, support for Big Data extends beyond the walls of IT. The most successful companies are focused on building strong business cases for Big Data to drive support, adoption and funding though the enterprise.
This webinar investigated the two perspectives in constructing a business case for Big Data as well as how to create a compelling business case for Big Data success.
During this webinar, we covered:
-Challenges Creating Business Cases for Big Data
-Two perspectives for building Big Data business-cases
-Building the business-focused case and getting to monetized benefits
-Fortifying your business case with IT-benefits
Originally Published: Jan 21, 2015
The size and complexity of data make it difficult for companies to unlock the true value of their data. IBM Information Integration Governance can improve data quality, protect sensitive data, and reduce cost and risk. Free up your resources and get more out of your data.
Subscribing to Your Critical Data Supply Chain - Getting Value from True Data...DATAVERSITY
Operational Data Governance is more than a stewardship process for critical Business Assets. As organizations build structure around KPI’s and other critical data, a workflow develops that revolves around the sources and supply chain for that critical data. There can be many aspects to changes and inconsistencies affecting the final results of the supply chain. Inaccurate usage of data can result in audit penalties as well as erroneous report summaries and conclusions.
Is it coming from the correct authoritative source? Has the data been profiled? Has it met it’s threshold?
Gaps in the supply chain from incorrect pathways may lead dead ends or lost sources.
The value of understanding the entire supply chain cannot be overstated. When changes occur at and point, end users can validate that correct business standards, rules and policies have been applied to the critical data within the supply chain. Your organization can rest easy that you are not at risk for exposure due to improper usage, security, and compliance.
Join this webinar to uncover how companies are using data lineage to accomplish data supply chain transparency. You’ll also see the direct value clear data lineage can give to your business and IT landscape today.
Top 3 Hot Data Security And Privacy TechnologiesTyrone Systems
Organizations are transforming with Cloud Modernization, Big
Data, Customer Centricity and Data Governance. The foundation
for these initiatives is critical business data, that allows
organizations to deliver faster, more effective services and
products for their customers.
A business-friendly approach to data governance is imperative to engage all users and accommodate diverse business use cases spanning analytics, operational improvements, and compliance requirements. To increase adoption and collaboration, business and technical data users across your organisation need to have a common, agreed-upon, and documented understanding of which data is most important, what it’s called, and where it’s used.
Watch this on-demand webinar, where we explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
We also look at how Oripharm, one of the dynamic healthcare players in the Nordics and international markets, choose a data governance solution:
• to improve personalisation of products and services
• to achieve accurate and timely credit-risk analysis
• to increase user productivity by improving time-to-insights
• to mitigate risk and facilitate regulatory compliance and reporting
Speakers:
Mikkel Holmgaard - Data Governance Lead, Orifarm
Emily Washington - Sr. Vice President, Product Management, Precisely
Accelerating Fast Data Strategy with Data VirtualizationDenodo
"Information from the past won't support the insights of the future - businesses need real-time data," said Forrester Analyst Noel Yuhanna. In this presentation, he explains the challenges of latent data faced by business users, the need to accelerate fast data strategy using data virtualization, and the implications of such strategy.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/a2xNyZ.
Chief Data Officer (CDO) Organization RolesDave Getty
If your Company wants to treat Data as an Asset, it needs a Chief Data Officer to initiate significant changes in the Roles and Responsibilities of the Data Governance, IT Data Management and Business Analyst Data Scientist organizations. This presentation describes how the resulting organizations might look and behave.
Présentation Forrester - Forum MDM Micropole 2014Micropole Group
Présentation du Cabinet Forrester lors du 3eme Forum MDM Micropole le 19 novembre 2014 à Paris.
Forrester présente les tendances du marché du Master Data Management et de la gouvernance des données.
Kickstart a Data Quality Strategy to Build Trust in DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this session to learn key metrics and steps you can take to kickstart a data quality strategy.
Vuzion Inspired Event - Highlights from Microsoft Inspire 2017Vuzion
Microsoft Inspire, 9-13 July 2017 - What an inspirational week!
With over 680 sessions and 17,000 people attending Microsoft's biggest annual event in Washington DC, there was a huge amount covered, including Vision Keynotes, workshops, discussion groups, panels and a large expo.
To make sure you're up-to-date with all the news, Microsoft, Vuzion and our Partners shared the insights with you at our special Inspired event.
As UK headline sponsor, the Vuzion team at Inspire was delighted to be able to meet up with so many partners and industry colleagues.
But, whether you were at Inspire or unable to attend Microsoft's flagship partner event, if you'd like more information about the key announcements from Inspire here are the slides!
Master data management (mdm) & plm in context of enterprise product managementTata Consultancy Services
The presentation discusses the classical features and advantages of Master Data Management (MDM) system along with appropriate situations to use it. How do companies apply MDM who design, manufacture and sell their products in several geographies facing challenges in making appropriate decisions on their investment in PLM & MDM space?
Another important aspect covers the comparison/relation between a MDM system (or Product Master System) and Enterprise PLM system. How can you maximize your ROI on both PLM and MDM investments? With examples from different industries the key takeaways include whether your organization requires an MDM solution or not.
Reference matter data management:
Two categories of structured data :
Master data: is data associated with core business entities such as customer, product, asset, etc.
Transaction data: is the recording of business transactions such as orders in manufacturing, loan and credit card payments in banking, and product sales in retail.
Reference data: is any kind of data that is used solely to categorize other data found in a database, or solely for relating data in a database to information beyond the boundaries of the enterprise .
Virtual Data Steward: Data Management 3.0CrowdFlower
Every company that is serious about data governance needs data stewards. Data stewards connect business information requirements and processes with information technology capabilities. This function is essential to bridging data management policies and standards to day-to-day operational practices.
Although Big Data is changing enterprise data architecture models, support for Big Data extends beyond the walls of IT. The most successful companies are focused on building strong business cases for Big Data to drive support, adoption and funding though the enterprise.
This webinar investigated the two perspectives in constructing a business case for Big Data as well as how to create a compelling business case for Big Data success.
During this webinar, we covered:
-Challenges Creating Business Cases for Big Data
-Two perspectives for building Big Data business-cases
-Building the business-focused case and getting to monetized benefits
-Fortifying your business case with IT-benefits
Originally Published: Jan 21, 2015
The size and complexity of data make it difficult for companies to unlock the true value of their data. IBM Information Integration Governance can improve data quality, protect sensitive data, and reduce cost and risk. Free up your resources and get more out of your data.
Subscribing to Your Critical Data Supply Chain - Getting Value from True Data...DATAVERSITY
Operational Data Governance is more than a stewardship process for critical Business Assets. As organizations build structure around KPI’s and other critical data, a workflow develops that revolves around the sources and supply chain for that critical data. There can be many aspects to changes and inconsistencies affecting the final results of the supply chain. Inaccurate usage of data can result in audit penalties as well as erroneous report summaries and conclusions.
Is it coming from the correct authoritative source? Has the data been profiled? Has it met it’s threshold?
Gaps in the supply chain from incorrect pathways may lead dead ends or lost sources.
The value of understanding the entire supply chain cannot be overstated. When changes occur at and point, end users can validate that correct business standards, rules and policies have been applied to the critical data within the supply chain. Your organization can rest easy that you are not at risk for exposure due to improper usage, security, and compliance.
Join this webinar to uncover how companies are using data lineage to accomplish data supply chain transparency. You’ll also see the direct value clear data lineage can give to your business and IT landscape today.
Top 3 Hot Data Security And Privacy TechnologiesTyrone Systems
Organizations are transforming with Cloud Modernization, Big
Data, Customer Centricity and Data Governance. The foundation
for these initiatives is critical business data, that allows
organizations to deliver faster, more effective services and
products for their customers.
A business-friendly approach to data governance is imperative to engage all users and accommodate diverse business use cases spanning analytics, operational improvements, and compliance requirements. To increase adoption and collaboration, business and technical data users across your organisation need to have a common, agreed-upon, and documented understanding of which data is most important, what it’s called, and where it’s used.
Watch this on-demand webinar, where we explore the concept of business-first Data Governance, an approach that promotes adoption by the organisation, lays the foundation for data integrity and consistently delivers business value in the long term.
We also look at how Oripharm, one of the dynamic healthcare players in the Nordics and international markets, choose a data governance solution:
• to improve personalisation of products and services
• to achieve accurate and timely credit-risk analysis
• to increase user productivity by improving time-to-insights
• to mitigate risk and facilitate regulatory compliance and reporting
Speakers:
Mikkel Holmgaard - Data Governance Lead, Orifarm
Emily Washington - Sr. Vice President, Product Management, Precisely
Accelerating Fast Data Strategy with Data VirtualizationDenodo
"Information from the past won't support the insights of the future - businesses need real-time data," said Forrester Analyst Noel Yuhanna. In this presentation, he explains the challenges of latent data faced by business users, the need to accelerate fast data strategy using data virtualization, and the implications of such strategy.
This presentation is part of the Fast Data Strategy Conference, and you can watch the video here goo.gl/a2xNyZ.
Chief Data Officer (CDO) Organization RolesDave Getty
If your Company wants to treat Data as an Asset, it needs a Chief Data Officer to initiate significant changes in the Roles and Responsibilities of the Data Governance, IT Data Management and Business Analyst Data Scientist organizations. This presentation describes how the resulting organizations might look and behave.
Présentation Forrester - Forum MDM Micropole 2014Micropole Group
Présentation du Cabinet Forrester lors du 3eme Forum MDM Micropole le 19 novembre 2014 à Paris.
Forrester présente les tendances du marché du Master Data Management et de la gouvernance des données.
Kickstart a Data Quality Strategy to Build Trust in DataPrecisely
The success or failure of your data-driven business initiatives relies on your ability to trust your data. But as data volumes grow, it becomes a major challenge to understand, measure, monitor, cleanse, and govern all that data. Join this session to learn key metrics and steps you can take to kickstart a data quality strategy.
Vuzion Inspired Event - Highlights from Microsoft Inspire 2017Vuzion
Microsoft Inspire, 9-13 July 2017 - What an inspirational week!
With over 680 sessions and 17,000 people attending Microsoft's biggest annual event in Washington DC, there was a huge amount covered, including Vision Keynotes, workshops, discussion groups, panels and a large expo.
To make sure you're up-to-date with all the news, Microsoft, Vuzion and our Partners shared the insights with you at our special Inspired event.
As UK headline sponsor, the Vuzion team at Inspire was delighted to be able to meet up with so many partners and industry colleagues.
But, whether you were at Inspire or unable to attend Microsoft's flagship partner event, if you'd like more information about the key announcements from Inspire here are the slides!
Master data management (mdm) & plm in context of enterprise product managementTata Consultancy Services
The presentation discusses the classical features and advantages of Master Data Management (MDM) system along with appropriate situations to use it. How do companies apply MDM who design, manufacture and sell their products in several geographies facing challenges in making appropriate decisions on their investment in PLM & MDM space?
Another important aspect covers the comparison/relation between a MDM system (or Product Master System) and Enterprise PLM system. How can you maximize your ROI on both PLM and MDM investments? With examples from different industries the key takeaways include whether your organization requires an MDM solution or not.
Reference matter data management:
Two categories of structured data :
Master data: is data associated with core business entities such as customer, product, asset, etc.
Transaction data: is the recording of business transactions such as orders in manufacturing, loan and credit card payments in banking, and product sales in retail.
Reference data: is any kind of data that is used solely to categorize other data found in a database, or solely for relating data in a database to information beyond the boundaries of the enterprise .
Virtual Data Steward: Data Management 3.0CrowdFlower
Every company that is serious about data governance needs data stewards. Data stewards connect business information requirements and processes with information technology capabilities. This function is essential to bridging data management policies and standards to day-to-day operational practices.
World of Watson 2016 - Data lake or Data SwampKeith Redman
All impoundments of water need flowing mostly pollution free water constantly coming in or they become stagnant. The Data Lake is no different.
IBM views the difference between the Data Lake and the Data Swap and the constant flow of mostly pollution free information that is Governed and its Lifecycle managed. Check out these sessions on Information Governance to see how you can keep your Data Lake Crystal Clean.
Data-Ed Online: Data Management Maturity ModelDATAVERSITY
The Data Management Maturity (DMM) model is a framework for the evaluation and assessment of an organization's data management capabilities. The model allows an organization to evaluate its current state data management capabilities, discover gaps to remediate, and strengths to leverage. The assessment method reveals priorities, business needs, and a clear, rapid path for process improvements. This webinar will describe the DMM, its evolution, and illustrate its use as a roadmap guiding organizational data management improvements.
Takeaways:
Our profession is advancing its knowledge and has a wide spread basis for partnerships
New industry assessment standard is based on successful CMM/CMMI foundation
Clear need for data strategy
A clear and unambiguous call for participation
About the Speakers
Infografik zu den Beiträgen einzelner Wirtschaftsbereiche zur Verminderung von Treibhausgasen bis zum jahr 2050. Die Grafik zeigt zentrale Ergebnisse der WWF-Studie "Modell Deutschland - Klimaschutz bis 2050". In der Studie zeigt der WWF technisch mögliche und wirtschaftlich bezahlbare Wege in eine CO2-arme Zukunft.
Data Stewardship is an approach to Data Governance that formalises accountability for managing information resources on behalf of others and for the best interests of the organization
Data Stewardship consists of the people, organisation, and processes to ensure that the appropriately designated stewards are responsible for the governed data.
Learn from Method360’s Enterprise Information Management practice lead, James Hanck, and EP Energy customer, Chris Josefy as they share lessons learned and best practices in their efforts to improve data quality, performance, and adherence to EP Energy’s capital budget utilization.
Sap increase your return on information by focusing on data governance - ma...Bertille Laudoux
Understand how you can increase efficiency by embedding consistent and reliable information into your business processes. And discover SAP solutions to govern your information.
The SAP solutions for Enterprise Information Management (EIM) Overview presentation provides a comprehensive overview on the portfolio of EIM solutions.
Information Excellence for Digital TransformationMethod360
Companies that are moving, or considering moving to S/4HANA to make business decisions that will achieve a real-time market, can only accomplish this if their data is accurate and up to date at the time of migration. Information Excellence gives your company the advantage of doing business in real time with centralized and correct data and master data, while other companies are making critical business decisions on outdated content.
Adopting a Process-Driven Approach to Master Data ManagementSoftware AG
What is a lasting solution to the sea of errors, headaches, and losses caused by inconsistent and inaccurate master data such as customer and product records? This is the data that your business counts on to operate business processes and make decisions. But this data is often incomplete or in conflict because it resides in multiple IT systems. Master Data Management (MDM)'s programs are the solution to this problem, but these programs can fail without the investment and involvement of business managers.
Listen to Rob Karel, Forrester analyst, and Jignesh Shah from Software AG to learn about a new, process-driven approach to MDM and why it is a win-win for both business and IT managers.
Visit us at http://www.softwareag.com Become part of our growing community: Facebook: http://www.facebook.com/softwareag Twitter: http://www.twitter.com/softwareag LinkedIn: http://www.linkedin.com/company/software-ag YouTube: http://www.youtube.com/softwareag
Sap increase your return on information by focusing on data governance - ma...Bertille Laudoux
Increase your Return On Information by focusing on Content Management.
Discover how to increase productivity by centralising and optimising content management across your organisation.
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 201...Edgar Alejandro Villegas
Presentation slides of:
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 2013 - PDF
Scott Mackenzie - Sr. Director, Platform & Analytics CoE
Michael Golzc - CIO for SAP Americas
Ken Demma - VP, Insight Driven Marketing
20 Aug 2013 - Webcast - http://goo.gl/T74WAL
Uncover how your business can save money and find new revenue streams.
Driving profitability is a top priority for companies globally, especially in uncertain economic times. It's imperative that companies reimagine growth strategies and improve process efficiencies to help cut costs and drive revenue – but how?
By leveraging data-driven strategies layered with artificial intelligence, companies can achieve untapped potential and help their businesses save money and drive profitability.
In this webinar, you'll learn:
- How your company can leverage data and AI to reduce spending and costs
- Ways you can monetize data and AI and uncover new growth strategies
- How different companies have implemented these strategies to achieve cost optimization benefits
Capgemini’s Data WARP: Accelerate your Journey to InsightsCapgemini
More data, more insights. Data is at the center of change and business value! There is no limit to volume, structure of timing. But more data brings more challenges, like cost of storage, increased complexity of the data architecture and a lack of agility. Many organizations are still faced with scattered data lying in silos across the organization. They often lack a clear business case for funding a transform of their data landscape. Or they suffer from ineffective co-ordination of Data and analytics initiatives. Finally, the dependency on legacy systems for data processing and management is still high. Data WARP (Wide Angle Rationalization Program) helps organizations improve the performance of their data & insights architecture landscape, by providing key deliverables like rationalization designs, business cases and transformation roadmap.
Presented at Informatica World 2016 by Jorgen Heizenberg, CTO- Netherlands, Capgemini Insights & Data
Capgemini Leap Data Transformation Framework with ClouderaCapgemini
https://www.capgemini.com/insights-data/data/leap-data-transformation-framework
The complexity of moving existing analytical services onto modern platforms like Cloudera can seem overwhelming. Capgemini’s Leap Data Transformation Framework helps clients by industrializing the entire process of bringing existing BI assets and capabilities to next-generation big data management platforms.
During this webinar, you will learn:
• The key drivers for industrializing your transformation to big data at all stages of the lifecycle – estimation, design, implementation, and testing
• How one of our largest clients reduced the transition to modern data architecture by over 30%
• How an end-to-end, fact-based transformation framework can deliver IT rationalization on top of big data architectures
Customer-Centric Data Management for Better Customer ExperiencesInformatica
With consumer and business buyer expectations growing exponentially, more businesses are competing on the basis of customer experience. But executing preferred customer experiences requires data about who your customers are today and what will they likely need in the future. Every business can benefit from an AI-powered master data management platform to supply this information to line-of-business owners so they can execute great experiences at scale. This same need is true from an internal business process perspective as well. For example, many businesses require better data management practices to deliver preferred employee experiences. Informatica provides an MDM platform to solve for these examples and more.
Customer-Centric Data Management for Better Customer ExperiencesInformatica
With consumer and business buyer expectations growing exponentially, more businesses are competing on the basis of customer experience. But executing preferred customer experiences requires data about who your customers are today and what will they likely need in the future. Every business can benefit from an AI-powered master data management platform to supply this information to line-of-business owners so they can execute great experiences at scale. This same need is true from an internal business process perspective as well. For example, many businesses require better data management practices to deliver preferred employee experiences. Informatica provides an MDM platform to solve for these examples and more.
Similar to Sap increase your return on information by focusing on data governance - managing data quality - by scott barrett (20)
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.
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.
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.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
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.
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
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
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.
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.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.