Slide from my talk at Contech Forum 2021. This update from the November 2020 talk on digital equity work in the Bronx and lessons for Information providers in our changing world. This session will look at the progression of the Bronx Digital Equity Coalition and the development of principles for information and technology access that can also apply to information provider communities.
Presentation at Data Innovation Summit 2021. Trusted, well managed data is key to AI and machine learning success. Data citizens need data insights and data scientists need to spend more time building models. Everyone wants to spend less time finding, discovering, and munging data and ensuring the data quality to deliver business results. However, traditional data approaches lock data away and slow AI implementation leaves much of this work on the data practitioner’s shoulders. This session will cover how AI is also helping solve these problems. New data tools that combine automation with human expertise are enabling data and knowledge sharing (including new data classes like IOT data), data democratization, and cloud migration. AI-driven data enablement ensures everyone can find the right data and make intelligent use of it. Join us for a lively discussion on the most critical resource for AI: your data.
ADV Slides: The World in 2045 – What Has Artificial Intelligence Created?DATAVERSITY
How will technology and society change in the next 25 years? We have been discussing how technology has evolved in the last few years; in this episode, we look forward to the next 25 years.
The year 2045 may seem far away, but we already have predictions about the technological innovations prevalent in 2045. Hint: Artificial intelligence will have a huge impact.
Strategy how to change Big Data into useful information and win the business/candidacy, and Big Problem into Big Opportunity in the information exposure era.
Presentation: Big Data – From Strategy to Production - Mario Meir-Huber, Big Data Leader Eastern Europe, Teradata GmbH (AT), at the European Data Economy Workshop taking place back to back to SEMANTiCS2015 on 15 September 2015 in Vienna
In a world of big data, many organizations are struggling to understand how they can exploit this asset. In this presentation we share our framework for creating a Data Fluent organization. Building data fluency requires both individual skills in understanding and communicating data as well as a culture, processes, and tools for using your data.
You probably have heard about Big Data, but ever wondered what it exactly is? And why should you care?
Mobile is playing a large part in driving this explosion in data. The data are also created by the apps and other services in the background. As people are moving towards more digital channels, tons of data are being created. This data can be used in a lot of ways for personal and professional use. Big Data and mobile apps are converging in an enterprise and interacting; transforming the whole mobile ecosystem.
Alternative Data is everywhere. We MUST start using them as a competitive edge over the competitors who are all looking to only their traditional data sources
Presentation at Data Innovation Summit 2021. Trusted, well managed data is key to AI and machine learning success. Data citizens need data insights and data scientists need to spend more time building models. Everyone wants to spend less time finding, discovering, and munging data and ensuring the data quality to deliver business results. However, traditional data approaches lock data away and slow AI implementation leaves much of this work on the data practitioner’s shoulders. This session will cover how AI is also helping solve these problems. New data tools that combine automation with human expertise are enabling data and knowledge sharing (including new data classes like IOT data), data democratization, and cloud migration. AI-driven data enablement ensures everyone can find the right data and make intelligent use of it. Join us for a lively discussion on the most critical resource for AI: your data.
ADV Slides: The World in 2045 – What Has Artificial Intelligence Created?DATAVERSITY
How will technology and society change in the next 25 years? We have been discussing how technology has evolved in the last few years; in this episode, we look forward to the next 25 years.
The year 2045 may seem far away, but we already have predictions about the technological innovations prevalent in 2045. Hint: Artificial intelligence will have a huge impact.
Strategy how to change Big Data into useful information and win the business/candidacy, and Big Problem into Big Opportunity in the information exposure era.
Presentation: Big Data – From Strategy to Production - Mario Meir-Huber, Big Data Leader Eastern Europe, Teradata GmbH (AT), at the European Data Economy Workshop taking place back to back to SEMANTiCS2015 on 15 September 2015 in Vienna
In a world of big data, many organizations are struggling to understand how they can exploit this asset. In this presentation we share our framework for creating a Data Fluent organization. Building data fluency requires both individual skills in understanding and communicating data as well as a culture, processes, and tools for using your data.
You probably have heard about Big Data, but ever wondered what it exactly is? And why should you care?
Mobile is playing a large part in driving this explosion in data. The data are also created by the apps and other services in the background. As people are moving towards more digital channels, tons of data are being created. This data can be used in a lot of ways for personal and professional use. Big Data and mobile apps are converging in an enterprise and interacting; transforming the whole mobile ecosystem.
Alternative Data is everywhere. We MUST start using them as a competitive edge over the competitors who are all looking to only their traditional data sources
ADV Slides: Modern Analytic Data Architecture Maturity ModelingDATAVERSITY
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 achievement of improved information management maturity, aligned with major initiatives.
DAS Slides: Graph Databases — Practical Use CasesDATAVERSITY
Graph databases are seeing a spike in popularity as their value in leveraging large data sets for key areas such as fraud detection, marketing, and network optimization become increasingly apparent. With graph databases, it’s been said that ‘the data model and the metadata are the database’. What does this mean in a practical application, and how can this technology be optimized for maximum business value?
DataEd Slides: Exorcising the Seven Deadly Data SinsDATAVERSITY
The difficulty of implementing a new data strategy often goes under-appreciated, particularly the multi-faceted procedural challenges that need to be met while doing so. Deficiencies in organizational readiness and core competence represent clearly visible problems faced by data managers, but beyond that there are several cultural and structural barriers common to virtually all organizations that must be eliminated in order to facilitate effective management of data. This webinar will discuss these barriers – the titular “Seven Deadly Data Sins” – and in the process will also:
• Elaborate upon the three critical factors that lead to strategy failure
• Demonstrate a two-stage Data Strategy implementation process
• Explore the sources and rationales behind the “Seven Deadly Data Sins,” and recommend solutions
Slides: How AI Makes Analytics More HumanDATAVERSITY
People think AI makes analytics less human, replacing human decision making. But the truth is, AI actually makes analytics more human. Augmented analytics are helping organizations finally break through the low levels of adoption and limitations typical of 2nd generation visualization tools.
Most business problems cannot be solved purely by algorithms or machine learning — they require human interaction and perspective. Uniting precedent-based machine learning systems with natural human intuition and curiosity is the foundation of 3rd generation BI and democratizing data across an enterprise.
It is a natural flow to enhance your data eco-system by deploying a platform with augmented intelligence to work alongside users in the pursuit of surfacing new insights, automating tasks, and supporting natural language interaction. All work as accelerators for achieving active intelligence and Data Literacy.
Data Insights and Analytics: Simplifying Data Lake and Modern BI ArchitectureDATAVERSITY
Evolving into the world of Data Lakes and leveraging Big Data effectively does not have to be complicated. Current technologies are more effective than ever, and many organizations are now invested in allocating the right resources to managing data. When it comes to Data Lake and modern Business Intelligence (BI) architecture, simplicity can be key.
Join John and Kelle for this webinar to discover:
What “simplifying” really means
What processes are needed to derive a modern BI architecture
What is required to deploy the process
How to bridge the gap from traditional BI to contemporary BI and Data Lakes
Activate Data Governance Using the Data CatalogDATAVERSITY
Data Governance programs depend on the activation of data stewards that are held formally accountable for how they manage data. The data catalog is a critical tool to enable your stewards to contribute and interact with an inventory of metadata about the data definition, production, and usage. This interaction is active Data Governance in the truest sense of the word.
In this RWDG webinar, Bob Seiner will share tips and techniques focused on activating your data stewards through a data catalog. Data Governance programs that involve stewards in daily activities are more likely to demonstrate value from their data-intensive investments.
Bob will address the following in this webinar:
- A comparison of active and passive Data Governance
- What it means to have an active Data Governance program
- How a data catalog tool can be used to activate data stewards
- The role a data catalog plays in Data Governance
- The metadata in the data catalog will not govern itself
Data Catalog as the Platform for Data IntelligenceAlation
Data catalogs are in wide use today across hundreds of enterprises as a means to help data scientists and business analysts find and collaboratively analyze data. Over the past several years, customers have increasingly used data catalogs in applications beyond their search & discovery roots, addressing new use cases such as data governance, cloud data migration, and digital transformation. In this session, the founder and CEO of Alation will discuss the evolution of the data catalog, the many ways in which data catalogs are being used today, the importance of machine learning in data catalogs, and discuss the future of the data catalog as a platform for a broad range of data intelligence solutions.
Beyond the Classroom consists of events, workshops and presentations meant to introduce Computer Science students to learning opportunities in addition to their regular classroom experiences. Beyond the Classroom events are free and open to all NHCC CSci students.
This presentation is about Big Data, how it changes the traditional data landscape, how different companies are using it, and which skills are in demand.
Many data professionals struggle with the ability to demonstrate tangible returns on data management investments. In a webinar that is designed to appeal to both business and IT attendees, your presenter Dr. Peter Aiken will describe multiple types of value produced through data-centric development and management practices. One of our examples, the healthcare space, offers the unique opportunity to demonstrate additional types of return on investment or value outcomes, namely returns in the form of lives saved through increased rates of Bone Marrow Donor matches. In addition to metrics around increasing revenues or decreasing costs, i.e. investments that directly impact an organization’s financial position, these additional statistics of lives saved can be used to justify data management and quality initiatives.
Check out more of our webinars here: http://www.datablueprint.com/resource-center/
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace from digital transformation, to marketing, to customer centricity, population health, and more. This webinar will help de-mystify data strategy and data architecture and will provide concrete, practical ways to get started.
Data Systems Integration & Business Value PT. 3: Warehousing Data Blueprint
Certain systems are more data focused than others. Usually their primary focus is on accomplishing integration of disparate data. In these cases, failure is most often attributable to the adoption of a single pillar (silver bullet). The three webinars in the Data Systems Integration and Business Value series are designed to illustrate that good systems development more often depends on at least three DM disciplines (pie wedges) in order to provide a solid foundation.
Integrating data across systems has been a perpetual challenge. Unfortunately, the current technology-focused solutions have not helped IT to improve its dismal project success statistics. Data warehouses, BI implementations, and general analytical efforts achieve the same levels of success as other IT projects – approximately 1/3rd are considered successes when measured against price, schedule, or functionality objectives. The first step is determining the appropriate analysis approach to the data system integration challenge. The second step is understanding the strengths and weaknesses of various approaches. Turns out that proper analysis at this stage makes actual technology selection far more accurate. Only when these are accomplished can proper matching between problem and capabilities be achieved as the third step and true business value be delivered.
DataEd Online: Data Architecture and Data Modeling Differences — Achieving a ...DATAVERSITY
<!-- wp:paragraph -->
<p>Many can be confused when it comes to data topics. Architecture, models, data — it can seem a bit overwhelming. This program offers a clear explanation of Data Modeling and Data Architecture with a focus on the power of their interdependence. Both Data Architecture and data models are made more useful by each other. Data models are a primary means to achieve a shared understanding of specific data challenges. They are literally the pages that intersect data assets and the organizational response. Data models, as documentation, are the currency of data coordination, used to verify integration, and are mandated input to any data systems evolution. Ideally, Data Architecture is the sum of the organizational data models. However, coverage is rarely complete. Anytime you are talking about architecture, it is important to include the complementary role of engineered data models. Developing these models often incorporates both forward and reverse perspectives. Only when working in a coordinated manner, can organizations take steps to better understand what they have and what they need to accomplish by employing Data Modeling and Data Architecture.</p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>This program's learning objectives include:</p>
<!-- /wp:paragraph -->
<!-- wp:list -->
<ul><li>Understanding the role played by models</li><li>Incorporating the interrelated concepts of architecture/engineering</li><li>What is taught: forward engineering with a goal of building</li><li>What is also needed: reverse engineering with a goal of understanding</li><li>How increasing coordination requirements increase design simplicity</li></ul>
<!-- /wp:list -->
Good data is like good water: best served fresh, and ideally well-filtered. Data Management strategies can produce tremendous procedural improvements and increased profit margins across the board, but only if the data being managed is of high quality. Determining how Data Quality should be engineered provides a useful framework for utilizing Data Quality management effectively in support of business strategy. This, in turn, allows for speedy identification of business problems, the delineation between structural and practice-oriented defects in Data Management, and proactive prevention of future issues. Organizations must realize what it means to utilize Data Quality engineering in support of business strategy. This webinar will illustrate how organizations with chronic business challenges often can trace the root of the problem to poor Data Quality. Showing how Data Quality should be engineered provides a useful framework in which to develop an effective approach. This, in turn, allows organizations to more quickly identify business problems as well as data problems caused by structural issues versus practice-oriented defects and prevent these from re-occurring.
This framework helps organizations align Data Strategy with Business Strategy to prioritize goals around the most pressing operational needs. It introduces Data Management & Data Ability Maturity Matrix to visualize the core path of business digital transformation, which is easy to understand and follow. And it provides the standard template for implementation, which can share the flexibility to engage applications of different industries.
lessons in Gov 2.0: building strategy from the inside outPatrick McCormick
In the seminar, Pat will share his experience and provide an overview of:
the application of social media to the business of government and engagement with citizens
developing a strategic approach to using social media as well as supporting a culture of collaboration.
Pat\'s presentation will draw on a range of practical Gov 2.0 examples in the Department of Justice such as Fire Ready mobile applications, Championship Moves, Cameras Cut Crashes, and the Sentencing Advisory Council.
ADV Slides: Modern Analytic Data Architecture Maturity ModelingDATAVERSITY
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 achievement of improved information management maturity, aligned with major initiatives.
DAS Slides: Graph Databases — Practical Use CasesDATAVERSITY
Graph databases are seeing a spike in popularity as their value in leveraging large data sets for key areas such as fraud detection, marketing, and network optimization become increasingly apparent. With graph databases, it’s been said that ‘the data model and the metadata are the database’. What does this mean in a practical application, and how can this technology be optimized for maximum business value?
DataEd Slides: Exorcising the Seven Deadly Data SinsDATAVERSITY
The difficulty of implementing a new data strategy often goes under-appreciated, particularly the multi-faceted procedural challenges that need to be met while doing so. Deficiencies in organizational readiness and core competence represent clearly visible problems faced by data managers, but beyond that there are several cultural and structural barriers common to virtually all organizations that must be eliminated in order to facilitate effective management of data. This webinar will discuss these barriers – the titular “Seven Deadly Data Sins” – and in the process will also:
• Elaborate upon the three critical factors that lead to strategy failure
• Demonstrate a two-stage Data Strategy implementation process
• Explore the sources and rationales behind the “Seven Deadly Data Sins,” and recommend solutions
Slides: How AI Makes Analytics More HumanDATAVERSITY
People think AI makes analytics less human, replacing human decision making. But the truth is, AI actually makes analytics more human. Augmented analytics are helping organizations finally break through the low levels of adoption and limitations typical of 2nd generation visualization tools.
Most business problems cannot be solved purely by algorithms or machine learning — they require human interaction and perspective. Uniting precedent-based machine learning systems with natural human intuition and curiosity is the foundation of 3rd generation BI and democratizing data across an enterprise.
It is a natural flow to enhance your data eco-system by deploying a platform with augmented intelligence to work alongside users in the pursuit of surfacing new insights, automating tasks, and supporting natural language interaction. All work as accelerators for achieving active intelligence and Data Literacy.
Data Insights and Analytics: Simplifying Data Lake and Modern BI ArchitectureDATAVERSITY
Evolving into the world of Data Lakes and leveraging Big Data effectively does not have to be complicated. Current technologies are more effective than ever, and many organizations are now invested in allocating the right resources to managing data. When it comes to Data Lake and modern Business Intelligence (BI) architecture, simplicity can be key.
Join John and Kelle for this webinar to discover:
What “simplifying” really means
What processes are needed to derive a modern BI architecture
What is required to deploy the process
How to bridge the gap from traditional BI to contemporary BI and Data Lakes
Activate Data Governance Using the Data CatalogDATAVERSITY
Data Governance programs depend on the activation of data stewards that are held formally accountable for how they manage data. The data catalog is a critical tool to enable your stewards to contribute and interact with an inventory of metadata about the data definition, production, and usage. This interaction is active Data Governance in the truest sense of the word.
In this RWDG webinar, Bob Seiner will share tips and techniques focused on activating your data stewards through a data catalog. Data Governance programs that involve stewards in daily activities are more likely to demonstrate value from their data-intensive investments.
Bob will address the following in this webinar:
- A comparison of active and passive Data Governance
- What it means to have an active Data Governance program
- How a data catalog tool can be used to activate data stewards
- The role a data catalog plays in Data Governance
- The metadata in the data catalog will not govern itself
Data Catalog as the Platform for Data IntelligenceAlation
Data catalogs are in wide use today across hundreds of enterprises as a means to help data scientists and business analysts find and collaboratively analyze data. Over the past several years, customers have increasingly used data catalogs in applications beyond their search & discovery roots, addressing new use cases such as data governance, cloud data migration, and digital transformation. In this session, the founder and CEO of Alation will discuss the evolution of the data catalog, the many ways in which data catalogs are being used today, the importance of machine learning in data catalogs, and discuss the future of the data catalog as a platform for a broad range of data intelligence solutions.
Beyond the Classroom consists of events, workshops and presentations meant to introduce Computer Science students to learning opportunities in addition to their regular classroom experiences. Beyond the Classroom events are free and open to all NHCC CSci students.
This presentation is about Big Data, how it changes the traditional data landscape, how different companies are using it, and which skills are in demand.
Many data professionals struggle with the ability to demonstrate tangible returns on data management investments. In a webinar that is designed to appeal to both business and IT attendees, your presenter Dr. Peter Aiken will describe multiple types of value produced through data-centric development and management practices. One of our examples, the healthcare space, offers the unique opportunity to demonstrate additional types of return on investment or value outcomes, namely returns in the form of lives saved through increased rates of Bone Marrow Donor matches. In addition to metrics around increasing revenues or decreasing costs, i.e. investments that directly impact an organization’s financial position, these additional statistics of lives saved can be used to justify data management and quality initiatives.
Check out more of our webinars here: http://www.datablueprint.com/resource-center/
DAS Slides: Building a Data Strategy — Practical Steps for Aligning with Busi...DATAVERSITY
Developing a Data Strategy for your organization can seem like a daunting task. The opportunity in getting it right can be significant, however, as data drives many of the key initiatives in today’s marketplace from digital transformation, to marketing, to customer centricity, population health, and more. This webinar will help de-mystify data strategy and data architecture and will provide concrete, practical ways to get started.
Data Systems Integration & Business Value PT. 3: Warehousing Data Blueprint
Certain systems are more data focused than others. Usually their primary focus is on accomplishing integration of disparate data. In these cases, failure is most often attributable to the adoption of a single pillar (silver bullet). The three webinars in the Data Systems Integration and Business Value series are designed to illustrate that good systems development more often depends on at least three DM disciplines (pie wedges) in order to provide a solid foundation.
Integrating data across systems has been a perpetual challenge. Unfortunately, the current technology-focused solutions have not helped IT to improve its dismal project success statistics. Data warehouses, BI implementations, and general analytical efforts achieve the same levels of success as other IT projects – approximately 1/3rd are considered successes when measured against price, schedule, or functionality objectives. The first step is determining the appropriate analysis approach to the data system integration challenge. The second step is understanding the strengths and weaknesses of various approaches. Turns out that proper analysis at this stage makes actual technology selection far more accurate. Only when these are accomplished can proper matching between problem and capabilities be achieved as the third step and true business value be delivered.
DataEd Online: Data Architecture and Data Modeling Differences — Achieving a ...DATAVERSITY
<!-- wp:paragraph -->
<p>Many can be confused when it comes to data topics. Architecture, models, data — it can seem a bit overwhelming. This program offers a clear explanation of Data Modeling and Data Architecture with a focus on the power of their interdependence. Both Data Architecture and data models are made more useful by each other. Data models are a primary means to achieve a shared understanding of specific data challenges. They are literally the pages that intersect data assets and the organizational response. Data models, as documentation, are the currency of data coordination, used to verify integration, and are mandated input to any data systems evolution. Ideally, Data Architecture is the sum of the organizational data models. However, coverage is rarely complete. Anytime you are talking about architecture, it is important to include the complementary role of engineered data models. Developing these models often incorporates both forward and reverse perspectives. Only when working in a coordinated manner, can organizations take steps to better understand what they have and what they need to accomplish by employing Data Modeling and Data Architecture.</p>
<!-- /wp:paragraph -->
<!-- wp:paragraph -->
<p>This program's learning objectives include:</p>
<!-- /wp:paragraph -->
<!-- wp:list -->
<ul><li>Understanding the role played by models</li><li>Incorporating the interrelated concepts of architecture/engineering</li><li>What is taught: forward engineering with a goal of building</li><li>What is also needed: reverse engineering with a goal of understanding</li><li>How increasing coordination requirements increase design simplicity</li></ul>
<!-- /wp:list -->
Good data is like good water: best served fresh, and ideally well-filtered. Data Management strategies can produce tremendous procedural improvements and increased profit margins across the board, but only if the data being managed is of high quality. Determining how Data Quality should be engineered provides a useful framework for utilizing Data Quality management effectively in support of business strategy. This, in turn, allows for speedy identification of business problems, the delineation between structural and practice-oriented defects in Data Management, and proactive prevention of future issues. Organizations must realize what it means to utilize Data Quality engineering in support of business strategy. This webinar will illustrate how organizations with chronic business challenges often can trace the root of the problem to poor Data Quality. Showing how Data Quality should be engineered provides a useful framework in which to develop an effective approach. This, in turn, allows organizations to more quickly identify business problems as well as data problems caused by structural issues versus practice-oriented defects and prevent these from re-occurring.
This framework helps organizations align Data Strategy with Business Strategy to prioritize goals around the most pressing operational needs. It introduces Data Management & Data Ability Maturity Matrix to visualize the core path of business digital transformation, which is easy to understand and follow. And it provides the standard template for implementation, which can share the flexibility to engage applications of different industries.
lessons in Gov 2.0: building strategy from the inside outPatrick McCormick
In the seminar, Pat will share his experience and provide an overview of:
the application of social media to the business of government and engagement with citizens
developing a strategic approach to using social media as well as supporting a culture of collaboration.
Pat\'s presentation will draw on a range of practical Gov 2.0 examples in the Department of Justice such as Fire Ready mobile applications, Championship Moves, Cameras Cut Crashes, and the Sentencing Advisory Council.
Getting Your Board on Board – Feeling anxious about telling your Board you need a Twitter strategy? Is your Board skeptical of the value and return on investment social media can provide? Or, do they have unrealistic expectations that you’re going to sign up on Facebook today and raise $1 million tomorrow? Either way, get the information you need to manage your Board’s expectations around social media. Find out the best ways to present the value and tangible benefits of social media to get your Board on-side.
What Giving Tuesday Data is Telling Us About Effective FundraisingTechSoup
With more than 60 participating organizations in the U.S. and teams in more than 50 countries, the GivingTuesday Data Collaborative is the largest-ever philanthropic data initiative. The work is uncovering important (sometimes surprising) findings about donor behavior. We will discuss the threats and opportunities this work is revealing, and you will hear about the key findings from the U.S. and around the world about how, when, and why people give. Learn about the implications these important shifts in behavior will likely have when it comes to the future of fundraising.
Topic: The Digital Experience and the Human Experience
- Digital experience – the new heart of customer engagement
- Working with nothing to create something: Halebury’s digital journey
- People led platforms, personal branding and the SocialHuman lawyer
- Connecting with content
- Three mantras to live by
Social media is one of the best ways you can show love for your supporters and donors. It’s also key to empowering your supporters to share THEIR love of your organization by donating or sharing your content to help you reach new audiences.
Join us for our continued conversations in how to maximize your efforts during the coronavirus pandemic. We’ll be covering how to leverage tried and true – and new – social channels to support your acquisition, cultivation, fundraising and donor retention efforts at this time. We’ll also address #GivingTuesday Now – Giving Tuesday’s recently announced early May edition of the popular national giving day.
Joey Coleman - Building an Open Data Ecosystem for all to access#DevTO
How do we build open data so it is accessible to all citizens and not just those with specialized skills such as information management or coding? In Hamilton, municipal open data is being implemented because of advocacy among neighbourhood associations and community groups, not solely from the developer community, with the goal of ensuring all citizens can use open data. It’s a unique partnership – what does it mean for open data, open government, and civic engagement? Join this discussion as we explore the question.
Getting Your Board on Board – Feeling anxious about telling your Board you need a Twitter strategy? Is your Board skeptical of the value and return on investment social media can provide? Or, do they have unrealistic expectations that you’re going to sign up on Facebook today and raise $1 million tomorrow? Either way, get the information you need to manage your Board’s expectations around social media. Find out the best ways to present the value and tangible benefits of social media to get your Board on-side.
Social Media Planning – Now that you’ve got your staff and board excited about social media, what’s next? Like most plans, it starts with a strategy, one that's based on a desire to build relationships. What does a social media plan look like? What are the key elements? Where should you dedicate your time and how can you make most of your efforts? This session will present strategies and tactics you can employ, and will touch on how it all ties into the communications plan you’ve already got.
Data2030 Summit MEA: Data Chaos to Data Culture March 2023Matt Turner
There is much more to becoming truly data driven and delivering the value of data investments. Overcoming the “Data Chaos” means making data accessible with data governance, creating a data culture, sharing knowledge through collaboration and data literacy to put data into action. This session will help enrich your data strategy and enable your organization to deliver data value.
Data2030 Summit Data Megatrends Turner Sept 2022.pptxMatt Turner
The next challenge in data is rapidly becoming clear: how can we scale data value and bring data driven decision making to everyone? We’ve made tremendous progress in bringing data together. The megatrends in data - data mesh, data fabric, modern data stack - are all about crossing the last mile to get data to everyone, not just the data experts. How can we empower everyone to better use data? Are the megatrends the road to actually scaling data value? And what does that mean for the data teams and data engineers creating systems and delivering dataops?
There is much more to becoming truly data driven. Overcoming the “Data Chaos” means democratizing knowledge through collaboration, promoting data literacy and building your data culture. The aim of this session is to help enrich your data strategy and enable your organization to make better use of your data assets.
Securing the Right Metadata and Making it Work for YouMatt Turner
Metadata is a critical asset for the media and information industries. This session will talk about what metadata is, what you can do with it, where it is and how you can make it work for you. Presented at the Outsell Signature Event 2020 as part of the Master Class series.
Here are the resources in this talk:
Merriam Webster Metadata Definition
https://www.merriam-webster.com/dictionary/metadata
Emerging Trends in Metadata Management, Dataversity 2016
https://content.dataversity.net/DVMetadataRP_DownloadWP.html
Smart Content Kickoff March 2020
https://www.slideshare.net/barleyfish/m-turner-smart-content-march-2020
Wolters Kluwer Search That Talks Back
https://youtu.be/US0_zwa8kmI
BSI Medical Device Navigator
https://compliancenavigator.bsigroup.com/
Dodge Data: Big, Unstructured Data Management & Visualization Meets the Construction Industry
Isaac Sacolick, 2014
http://events.tvworldwide.com/Events/IIS-2014/VideoId/536/UseHtml5/True
Nature.com: AI peer reviewers unleashed to ease publishing grind
https://www.nature.com/articles/d41586-018-07245-9
Wired: With Deep Learning, Disney Sorts Through a Universe of Content
https://www.wired.com/wiredinsider/2019/12/deep-learning-disney-sorts-universe-content/
Pearson Efficacy Framework
https://www.pearson.com/content/dam/one-dot-com/one-dot-com/global/Files/efficacy-and-research/methods/Efficacy-Workbook.pdf
Sven Fund We Need Integrated Publishing
https://onlinelibrary.wiley.com/doi/abs/10.1087/20130111
Cambridge Semantics What is Linked Data
http://www.cambridgesemantics.com/semantic-university/what-is-linked-data
Alan Morrison Semantics Keynote: https://www.slideshare.net/AlanMorrison/collapsing-the-it-stack-clearing-a-path-for-ai-adoption?from_action=save
Recording of Alan's talk (+18min) -> https://www.facebook.com/fhstp/videos/308669336596727/
Operationalize Your Data and Lead Your Business TransformationMatt Turner
Data is a critical asset for every business, so why is it so hard to get value from that data? Taking a data-centric approach and rethinking the enterprise stack and taking a new approach hold the answers and are the foundations for digital transformation.
Three Cool Things You Can Do with StandardsMatt Turner
Standards organizations deliver some of the world's most critical information to ensure interoperability and safety across every industry.
I gave this talk at the Standards Technology and Business Forum and covered what people are doing today and how standards organizations can
1) Better Deliver What Customers Want
2) Connect Standards to Their Customer's Data
3) Deliver Standards as Data
Mark logic Industrialize Your Data IOT Berlin Sept 2019Matt Turner
Data is a big part of the Industry 4.0 conversation but it’s not often a topic in its own right. IOT devices and sensors are creating more data than ever, digital twins need accurate data to impact operations, and the digital thread requires integrated and accessible data. These concepts are all key to industrial organizations being able to improve their products and services, better navigate increasingly complex business environments, and transform for the future. And they all need data to succeed.
But getting value from all that data isn’t easy. Many traditional data approaches fall far short of being able to manage the complexity and variability of today’s industrial data and, critically, being able to make that data securely and operationally available.
This talk will focus on how leading industrial organizations like Airbus, Eaton, Siemens, Chevron and Boeing are tackling these challenges head on with a new, data-centric approach called the Data Hub. These organizations are “industrializing their data” – investing in data as an asset that’s as essential as the people, processes and materials powering it. With the Data Hub, their projects are creating efficiency, improving quality and safety, and enabling workers today while building a foundation of data across their organizations.
Join this session to learn how you too can industrialize your data and hear about the leaders delivering on the vision of Industry 4.0!
In 2012 BBC helped London present the most digital Olympic Experience to date. The data platform behind the online experience helped connect audiences to athletes and events and drive record number of live and catch-up streams. This platform and the results remain highly relevant to anyone working to connect audiences with content and is a benchmark for the next Olympics coming up in Tokyo 2020
Key to your company's success is being able to integrate and use the data you have. Linked Data holds the promise to deliver on this with semantic data hubs that don't strip context and enable you to use your data across your organization.
Smart Content Summit: Unlock the Value with the Right Data PatternMatt Turner
Smart Content as a strategy has been validated by the industry - collecting and managing all the data around the content is now a core activity to get the content to your fans and customers. Making it work is still hard and this talk looks at the successful projects from BBC, NBCU, ETC and Disney and examines the way they used NoSQL and semantics as well as the Operational Data Hub Pattern that puts this new technology into action ... and actually delivers Smart Content
As organizations grapple with ever increasing threats to security, the focus is shifting from just monitoring and protecting access. This approach protects the organization with a 'hard outer shell' or perimeter. With insider threats and complex, distributed work environments, media & entertainment organizations need to focus inside the shell and monitor access points to critical data within the organization and securing data. This session will review the latest security practices including cyber situational awareness and advances in data management that are enabling organizations to protect their data at the source while not crippling the critical role that access to data plays in the operations of today's entertainment organizations.
Media publishing meetup ocean of data july 2016Matt Turner
Slides from the New York Media/Publishing Meetup held on July 28th. The impact of the Ocean of data focusing on customer data and how to collect it an make an impact
Presented at Meatadata Madness in NYC March 2016. Metadata is more critical than ever and its impact is not just distribution but now extends across every area of the digital supply chain. Traditional methods of managing data with rows and columns create data that can't easily be shared and results in this critical data being in silos. Smart Content - a new approach using NoSQL and Semantics - enables this data to truly be shared across the supply chain including into production where valuable data is created but then lost in more organizations.
Metadata Madness: Semantics Takes Center StageMatt Turner
There is a big change happening right now in how we think about managing metadata and the impact it can have – including powering the top new app in the nation. Far from the afterthought of administrative tagging, metadata is now critical to the digital marketplaces and the effectiveness of digital products. Semantic metadata is a new approach that brings the flexibility necessary to capture the complete picture and to create and manage the new and ever-changing associations and relationships. This session will discuss the impact of semantics on metadata and demo it in action, revolutionizing what metadata can do for content.
New Trends in Data Management in the Information Industries Matt Turner
Presentation from the Copyright Clearance Center Distinguished Speaker Series presentation February 26th, 2015.
As the publishing industry is transforming from form based, single purpose products to information providers focused on the curation of data and content tailoring its delivery to the role, action and location of the users, there has been a parallel transformation in the management of the data and content that are the raw materials for these products.
Matt Turner, MarkLogic’s CTO for Media and Publishing, will talk about the new generation of information management technology focusing on how they are helping transform the information industries and revolutionize how people think about managing data and content.
Topic that will be covered include NoSQL / new generation databases, search, and semantic technology and information product trends with example of innovative teams leveraging these new capabilities.
Smart Content Summit - Unlocking Content With Semantics and MetadataMatt Turner
My presentation from the MESAlliance Smart Content Summit in LA on November 5th.
The conference was focused on making content smarter in every phase of the content lifecycle with a new twist: From inception to infinity - because we don't know what is coming down the line
My talk set the stage for some of these unexpected shifts and covered the role that traditional technology has played in perpetuating silos that make it hard to adjust.
And how new Technologies like NoSQL and semantics are making it possible to not only collect more information but to do it more efficiently.
Enjoy!
Kloptek Publishers Forum Keynote May 2014Matt Turner
Reinvention, Revolution and Revitalization: Real Life Tales from Publishing’s Front Lines
As the information provider and publishing industries maintain a constant state of change, leading organizations are developing unique innovation and product strategies. This session will explore these strategies, including:
(1) Innovation hubs: enabling new products while maintaining the core
(2) Data driven publishing: the complete picture of your users and markets
(3) Follow the content: where your information is used beyond the touch points of publishing and research
With examples from the front lines of publishers and information providers, this session will discuss how these strategies are allowing organizations to reinvent themselves in the continuing digital revolution and bringing new vitality to the ever changing role of publisher and information provider.
De Gruyter selected MarkLogic for their Next Generation publishing platform in 2010. Many of the world’s leading publishing houses are customers of MarkLogic, e.g. Elsevier, WILEY, Oxford University Press, Springer etc.
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
"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.
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.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
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.
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.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
1. Contech Forum 2021
Matt Turner, Strategic Advisor
mwturner@gmail.com
@matt_turner_nyc
June 15, 2020
The Principles of
Information Access
2. Bronx Community Relief
• On the ground efforts to
provide resources
• Hardest hit area in the Bronx
• Access to technology has big
impacts, big issues
• Housing, Health, Food, Justice
and more
• Relief Effort -> Bronx
Foundation
Matt Turner Contech Forum 2021 @matt_turner_nyc
3. Matt Turner Contech Forum 2021 @matt_turner_nyc
"Without access to
technology and the support
to navigate it, our clients
can't get access to the courts
so they can defend
themselves. They can't get
justice.”
Justine Olderman, Executive
Director of The Bronx Defenders
4. Principles of Digital Equity
• Access
• Participation
• Common Ownership
• Healthy Communities
Matt Turner Contech Forum 2021 @matt_turner_nyc
5. What does it mean for Information Providers?
• Disruptions, sudden,
unpredictable shifts
• Re-thinking about our roles
and markets
• Is ‘Digital Transformation’
enough?
Matt Turner Contech Forum 2021 @matt_turner_nyc
?
6. Real Journey: Information Impact
• Information as critical right
• Need to make sure people can use it
• Some tactics to get you there
• Leadership
• Agility
• Data thinking
• Customer centric
• Are there principles as well?
7. Principles of Information Access
• Connect with the Customer
It’s a whole
new
vernacular
Richard Brookbanks
Vice President
Financial Controller
The Walt Disney Company
Picture of pickup
9. Principles of Information Access
• Connect with the Customer
It’s a whole
new
vernacular
Richard Brookbanks
Vice President
Financial Controller
The Walt Disney Company
Hugh Howie
Author
Publisher’s Forum
Sure, I
would
change it!
11. Principles of Information Access
• Connect with the Customer
• Create a Community
• Align with Purpose
Does the internet
work for us, or do
we work for the
internet?
Danny Peralta
Executive Director
THE POINT CDC
12. Principles of Information Access
• Connect with the Customer
• Create a Community
• Align with Purpose Make the internet
work for you, not
you work for the
internet
Danny Peralta
Executive Director
THE POINT CDC
13. Digital Equity and Access to Information
• Principles of Information Access
• Help us go beyond just delivering
information
• Deliver information impact
Derrick Lewis
Co-founder
Bronx Community
Foundation
Every day, ask
what more
can we do?
Thebronx.org