In this webinar, we hear from John Myers of Enterprise Management Associates about the drivers associated with big data implementations, evolving technical requirements for big data environments such as the Hybrid Data Ecosystem and how a robust information management layer is important to big data projects.
We also discuss how big data is evolving as a practice and we are quickly approaching a point at which data will be treated as a single source rather than divided between analytic and operational, big data and traditional enterprise data types, and multi-structured data stores and relational databases.
To learn more, visit: www.snaplogic.com/big-data
Met 80 procent van de klantdata wordt dit jaar niets gedaan. Hoeveel geld laat uw organisatie daardoor liggen? Data is geld waard. Bedrijven die vooruitdenken, managen hun data zo dat ze er winst uit halen. En dat geeft ze een flinke voorsprong.
IBM CDO Fall Summit 2016 Keynote: Driving innovation in the cognitive eraIBM Analytics
What does it take to drive Innovation in the Cognitive Era? Bob Picciano, Senior Vice President IBM Analytics and Inderpal Bhandari, Global Chief Data Officer, IBM gave this presentation to the CDOs and data professionals in attendance at the IBM Chief Data Officer Strategy Summit in Fall of 2016.
Learn more about the role of CDO: http://ibm.co/2cXasXy
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
Nonprofits are undergoing a trend of increased transparency, accountability, and information-sharing. Institutional funders require data demonstrating need and impact, policy-makers rely on data to guide their course and decision-making processes, and media and donors demand more transparency. This workshop will show you how you can use this trend to your advantage.
In this training session you will learn to find data that can help promote your cause and turn it into meaningful communication. What you create can be used to guide internal efforts, inform policy-makers and media, and/or support fund seeking from institutional funders and donors.
The workshop will take you from data to story in 90 minutes including.
1. Where to find data that supports your cause
2. How to prepare your data using Excel (Including shortcuts and tips)
3. How to find meaningful insights in your data
4. Publishing engaging stories based on your data using LiveStories and Haiku Deck
About the presenter: Anders Maul has a background in marketing and international business. Anders worked for 5 years in business controlling for a large pharmaceutical company where he managed and analyzed $100M+ budgets and spent "a lot of time" looking at Excel spreadsheets. Anders Maul currently works for LiveStories, a technology startup that helps nonprofits, foundations, and governments to become more data-driven.
Met 80 procent van de klantdata wordt dit jaar niets gedaan. Hoeveel geld laat uw organisatie daardoor liggen? Data is geld waard. Bedrijven die vooruitdenken, managen hun data zo dat ze er winst uit halen. En dat geeft ze een flinke voorsprong.
IBM CDO Fall Summit 2016 Keynote: Driving innovation in the cognitive eraIBM Analytics
What does it take to drive Innovation in the Cognitive Era? Bob Picciano, Senior Vice President IBM Analytics and Inderpal Bhandari, Global Chief Data Officer, IBM gave this presentation to the CDOs and data professionals in attendance at the IBM Chief Data Officer Strategy Summit in Fall of 2016.
Learn more about the role of CDO: http://ibm.co/2cXasXy
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
Nonprofits are undergoing a trend of increased transparency, accountability, and information-sharing. Institutional funders require data demonstrating need and impact, policy-makers rely on data to guide their course and decision-making processes, and media and donors demand more transparency. This workshop will show you how you can use this trend to your advantage.
In this training session you will learn to find data that can help promote your cause and turn it into meaningful communication. What you create can be used to guide internal efforts, inform policy-makers and media, and/or support fund seeking from institutional funders and donors.
The workshop will take you from data to story in 90 minutes including.
1. Where to find data that supports your cause
2. How to prepare your data using Excel (Including shortcuts and tips)
3. How to find meaningful insights in your data
4. Publishing engaging stories based on your data using LiveStories and Haiku Deck
About the presenter: Anders Maul has a background in marketing and international business. Anders worked for 5 years in business controlling for a large pharmaceutical company where he managed and analyzed $100M+ budgets and spent "a lot of time" looking at Excel spreadsheets. Anders Maul currently works for LiveStories, a technology startup that helps nonprofits, foundations, and governments to become more data-driven.
By Mark Jensen at ProductCamp Twin Cities 2016
Come learn more about the Internet of Things and the impact it will have on products, services, society and customer interaction. How might this new opportunity impact what you do? We'll discuss that and many other IoT related topics.
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.
Agile Project Management for Nonprofits501 Commons
Are you looking for ways to remove dysfunctions, waste, and inefficiencies in your non-profit organization? Whether it is a technology or a non-technology project for non-profits, this quick introduction to “Agile” – a modern project management approach can help you get more done more efficiently with full engagement of your team and stakeholders.
In this workshop you will learn how Agile has caused tremendous disruption and innovation in today’s networked global economy and what are the future possibilities. You will specifically learn how to adopt Agile practices to do twice more in less than half the time at your non-profit organization. Agile practices are aimed at responding to changing organizational demands by reducing waste, incorporating program improvements more quickly, and working collaboratively.
Agile is a mindset and it requires a mind shift from individual performance to team progress. It emphasizes the ability to adapt to changes and provide organizations the framework to adapt in a predictable way with a minimal amount of waste, such as from over planning. In Agile, teams incorporate frequent feedback, from both internal and external stakeholders, and work in short iterations, with the goal always to get something viable in front of an individual for feedback. Everyone works as one team to get work done.
Specifically, participants will learn the benefits of Agile, how to become Agile, the role of a team in a scrum environment, and an overview of scrum roles.
Information Overload - Can Activity Streams Help?David Lavenda
Workers increasingly need to track important business activities while on the go and initiatives like ‘Bring Your Own Device’ (BYOD) are helping by making devices to the mobile workforce. But the smaller tablet and smartphone form factors dictate a new user experience. Providing a meaningful mobile experience means much more than rolling out a mobile app. New “twitter-like” application activity streams represent a breakthrough because these streams can keep workers aware of updates while on the go. However, activity streams represent the next major source of information overload, since unmitigated streams create a ‘stream of unconsciousness’ that is impossible to follow. Automated filtering and context-aware technology provide some hope, but these technologies are still in their infancy. This presentation looks at the promise, as well as the issues provided by activity streams, and it proposes practical strategies for providing ‘anytime, anywhere’ activity updates in a secure and scale-able environment.
Data cleansing presentation by Digital Bucket CompanyHumayun Qureshi
Digital Bucket Company junior consultant's presentation on Data Cleansing. A key service of Digital Bucket Company is helping organisations to have organised and clean data sets. Please watch and for further information please contact www.digitalbucketcompany.com
Dr. Martin Mocker, Scientist, MIT, über Erkenntnisse der Spitzenforschung in der Entwicklung von IT-Organisationen, die helfen werden, über mögliche Modelle der Zukunft nachzudenken.
Big data introduction - Big Data from a Consulting perspective - SogetiEdzo Botjes
Big data introduction - Sogeti - Consulting Services - Business Technology - 20130628 v5
This is a small introduction to the topic Big Data and a small vision on how to enable a (big) company in using big data and embed it into the organisation.
IBM Virtual Finance Forum 2016: Top 10 reasons to attendIBM Analytics
Explore the top 10 reasons to attend IBM's Virtual Finance Forum 2016 for insights and best practices on performance management in the cognitive era. Attend your choice of three broadcasts of IBM's Virtual Finance Forum 2016: http://bit.ly/oct5am, http://bit.ly/Oct512Noon or http://bit.ly/oct5eve.
The average workday has become disjointed. While workers enjoy the “freedom” that comes from being able to do their jobs without being chained to their desks, it is not without its obstacles. There is certainly no shortage of mobile apps for employees, yet each app only does one thing well, and it is becoming clear that work information is spread out between too many apps. As employees rely more on mobile access, the elusive single-screen, unified mobile experience could be the answer to enterprise information discovery woes. The presentation discusses ways to overcome the information overload challenge using contextual capabilities now provided by mobile devices, a consolidated user experience, and activity streams.
Data-Ed Online: Approaching Data QualityDATAVERSITY
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.
Learning Objectives:
Help you understand foundational Data Quality concepts based on the DAMA Guide to Data Management Book of Knowledge (DAMA DMBoK), as well as guiding principles, best practices, and steps for improving Data Quality at your organization
Demonstrate how chronic business challenges for organizations are often rooted in poor Data Quality
Share case studies illustrating the hallmarks and benefits of Data Quality success
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few.
Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO.
Agenda included:
- Pizza and Networking
- Joe Caserta, President, Caserta Concepts - Why are we here?
- Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration
- Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing
- James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service
- Q&A, Networking
For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/
By Mark Jensen at ProductCamp Twin Cities 2016
Come learn more about the Internet of Things and the impact it will have on products, services, society and customer interaction. How might this new opportunity impact what you do? We'll discuss that and many other IoT related topics.
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.
Agile Project Management for Nonprofits501 Commons
Are you looking for ways to remove dysfunctions, waste, and inefficiencies in your non-profit organization? Whether it is a technology or a non-technology project for non-profits, this quick introduction to “Agile” – a modern project management approach can help you get more done more efficiently with full engagement of your team and stakeholders.
In this workshop you will learn how Agile has caused tremendous disruption and innovation in today’s networked global economy and what are the future possibilities. You will specifically learn how to adopt Agile practices to do twice more in less than half the time at your non-profit organization. Agile practices are aimed at responding to changing organizational demands by reducing waste, incorporating program improvements more quickly, and working collaboratively.
Agile is a mindset and it requires a mind shift from individual performance to team progress. It emphasizes the ability to adapt to changes and provide organizations the framework to adapt in a predictable way with a minimal amount of waste, such as from over planning. In Agile, teams incorporate frequent feedback, from both internal and external stakeholders, and work in short iterations, with the goal always to get something viable in front of an individual for feedback. Everyone works as one team to get work done.
Specifically, participants will learn the benefits of Agile, how to become Agile, the role of a team in a scrum environment, and an overview of scrum roles.
Information Overload - Can Activity Streams Help?David Lavenda
Workers increasingly need to track important business activities while on the go and initiatives like ‘Bring Your Own Device’ (BYOD) are helping by making devices to the mobile workforce. But the smaller tablet and smartphone form factors dictate a new user experience. Providing a meaningful mobile experience means much more than rolling out a mobile app. New “twitter-like” application activity streams represent a breakthrough because these streams can keep workers aware of updates while on the go. However, activity streams represent the next major source of information overload, since unmitigated streams create a ‘stream of unconsciousness’ that is impossible to follow. Automated filtering and context-aware technology provide some hope, but these technologies are still in their infancy. This presentation looks at the promise, as well as the issues provided by activity streams, and it proposes practical strategies for providing ‘anytime, anywhere’ activity updates in a secure and scale-able environment.
Data cleansing presentation by Digital Bucket CompanyHumayun Qureshi
Digital Bucket Company junior consultant's presentation on Data Cleansing. A key service of Digital Bucket Company is helping organisations to have organised and clean data sets. Please watch and for further information please contact www.digitalbucketcompany.com
Dr. Martin Mocker, Scientist, MIT, über Erkenntnisse der Spitzenforschung in der Entwicklung von IT-Organisationen, die helfen werden, über mögliche Modelle der Zukunft nachzudenken.
Big data introduction - Big Data from a Consulting perspective - SogetiEdzo Botjes
Big data introduction - Sogeti - Consulting Services - Business Technology - 20130628 v5
This is a small introduction to the topic Big Data and a small vision on how to enable a (big) company in using big data and embed it into the organisation.
IBM Virtual Finance Forum 2016: Top 10 reasons to attendIBM Analytics
Explore the top 10 reasons to attend IBM's Virtual Finance Forum 2016 for insights and best practices on performance management in the cognitive era. Attend your choice of three broadcasts of IBM's Virtual Finance Forum 2016: http://bit.ly/oct5am, http://bit.ly/Oct512Noon or http://bit.ly/oct5eve.
The average workday has become disjointed. While workers enjoy the “freedom” that comes from being able to do their jobs without being chained to their desks, it is not without its obstacles. There is certainly no shortage of mobile apps for employees, yet each app only does one thing well, and it is becoming clear that work information is spread out between too many apps. As employees rely more on mobile access, the elusive single-screen, unified mobile experience could be the answer to enterprise information discovery woes. The presentation discusses ways to overcome the information overload challenge using contextual capabilities now provided by mobile devices, a consolidated user experience, and activity streams.
Data-Ed Online: Approaching Data QualityDATAVERSITY
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.
Learning Objectives:
Help you understand foundational Data Quality concepts based on the DAMA Guide to Data Management Book of Knowledge (DAMA DMBoK), as well as guiding principles, best practices, and steps for improving Data Quality at your organization
Demonstrate how chronic business challenges for organizations are often rooted in poor Data Quality
Share case studies illustrating the hallmarks and benefits of Data Quality success
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few.
Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO.
Agenda included:
- Pizza and Networking
- Joe Caserta, President, Caserta Concepts - Why are we here?
- Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration
- Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing
- James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service
- Q&A, Networking
For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/
Joe Caserta was a featured speaker, along with MIT Sloan School faculty and other industry thought-leaders. His session 'You're the New CDO, Now What?' discussed how new CDOs can accomplish their strategic objectives and overcome tactical challenges in this emerging executive leadership role.
In its tenth year, the MIT CDOIQ Symposium 2016 continues to explore the developing role of the Chief Data Officer.
For more information, visit http://casertaconcepts.com/
As a follow-on to the presentation "Building an Effective Data Warehouse Architecture", this presentation will explain exactly what Big Data is and its benefits, including use cases. We will discuss how Hadoop, the cloud and massively parallel processing (MPP) is changing the way data warehouses are being built. We will talk about hybrid architectures that combine on-premise data with data in the cloud as well as relational data and non-relational (unstructured) data. We will look at the benefits of MPP over SMP and how to integrate data from Internet of Things (IoT) devices. You will learn what a modern data warehouse should look like and how the role of a Data Lake and Hadoop fit in. In the end you will have guidance on the best solution for your data warehouse going forward.
Building New Data Ecosystem for Customer Analytics, Strata + Hadoop World, 2016Caserta
Caserta Concepts Founder and President, Joe Caserta, gave this presentation at Strata + Hadoop World 2016 in New York, NY. His session covers path-to-purchase analytics using a data lake and spark.
For more information, visit http://casertaconcepts.com/
The rising collection and analysis of data has shifted the way companies do business. Four key ingredients to develop a data strategy, how to leverage next-generation technologies, and three essential steps for rolling out implementation are included. The Data Ecosystem will show you how to develop and implement the strategies that will meet the needs of your business.
Big data architectures and the data lakeJames Serra
With so many new technologies it can get confusing on the best approach to building a big data architecture. The data lake is a great new concept, usually built in Hadoop, but what exactly is it and how does it fit in? In this presentation I'll discuss the four most common patterns in big data production implementations, the top-down vs bottoms-up approach to analytics, and how you can use a data lake and a RDBMS data warehouse together. We will go into detail on the characteristics of a data lake and its benefits, and how you still need to perform the same data governance tasks in a data lake as you do in a data warehouse. Come to this presentation to make sure your data lake does not turn into a data swamp!
There is an overwhelming list of expectations – and challenges – in this new, emerging and evolving role. In this presentation, given at the 2016 CDO Summit, Joe Caserta focuses on:
- Defining the CDO title
- Outlining the skills that enhance chances for success
- Listing all the many things the company thinks you are responsible for
- Providing an overview of the core technologies you need to be familiar with and will serve to ultimately support your success
- Presenting a concise list of the most pressing challenges
- Sharing insights and arguments for how best to meet the challenges and succeed in your new role
These slides from EMA VP of Research, Shawn Rogers, and Actian VP of Solutions & Product Marketing, John Santaferraro will help you:
Learn how your peers are using Big Data for success to create transformational value
Discover how diverse data and platform ecosystems create opportunity and complexity
Examine the key differences between early Big Data projects and Big Data 2.0 projects
Explore where Big Data is heading in the future and how innovative companies will enable execution
Identify the gaps and challenges to success as well as the drivers for change and opportunity.
Riding and Capitalizing the Next Wave of Information TechnologyGoutama Bachtiar
Delivered in guest lecture session for International Business Accounting Program, Faculty of Business and Management, Petra Christian University, Surabaya, East Java, Indonesia.
[Infographic] Cloud Integration Drivers and Requirements in 2015SnapLogic
SnapLogic and TechValidate queried more than 100 U.S. companies with revenues greater than $500 million about the business and technical drivers and barriers for enterprise cloud application adoption in 2015 and beyond.
You can also learn how the SnapLogic Elastic Integration Platform can help by going to www.SnapLogic.com/iPaaS.
Why Everything You Know About bigdata Is A LieSunil Ranka
As a big data technologist, you can bet that you have heard it all: every crazy claim, myth, and outright lie about what big data is and what it isn't that you can imagine, and probably a few that you can't.If your company has a big data initiative or is considering one, you should be aware of these false statements and the reasons why they are wrong.
Digital revolution is disrupting businesses like never before! Ability to extract actionable insight from a large amount of disparate data has become the determining factor of competitive advantage! Everyday new business models are created around data and forcing the incumbents to reinvent themselves to be relevant. Consumer facing businesses felt this pressure early on but eventually every business need to be data driven. But what is the best strategy to address this digital disruption? Our experience says the core data infrastructure modernization is the logical starting point! In this session, we will share trends, strategies and our experience on rejuvenating data integration landscape to address digital disruptions.
Como criar uma infraestrutura preparada para Covid e outros DesafiosDanilo Bordini
Palestrada apresentada no InteropSummit de 2020 sobre como a #Salesfoce e a #Mulesoft vem ajudando nossos clientes nesses tempos de #covid-19 a serem mais ágeis e invoadores
Building a Business Case for Innovation: Project Considerations for Cloud, Mo...Fred Isbell
Breakout Session from the 2015 TSIA Technology Service World event in Las Vegas attended by 1,500+ service & support professionals. Provided insight into:
1.) The next wave of innovative technology and business solutions
2.) Key insights from industry influencers and experts to assist in building a business case
3.) Case studies from SAP projects & customers showcasing the results, business impact, and best practices to managing next-generation projects and solutions
How Social and the Cloud Impact Your Governance StrategyChristian Buckley
As organizations look to expand their SharePoint on premises footprint using social, mobile, or cloud based platforms and services, some governance considerations. Presented originally at SharePoint Saturday Virginia Beach 2013 (#SPSVB)
Data Integration Trends Businesses Should Watch for in 2021Safe Software
2020 reminded us that the future is never certain. However, it also showed that the future could be quickly adapted to if we have up-to-date and readily available data to make decisions.
To offer the most business value and stay competitive in 2021, data leaders need to embrace digital transformation in the form of:
- Automation
- Augmented Reality (AR)
- Improving the customer experience (with machine learning)
- Evolution to the cloud
- Spatial data importance to the enterprise
- IoT data streams
- And more!
In this webinar, join co-founders Don Murray and Dale Lutz as they offer insight and predictions on these areas. Plus, they’ll do an extended Q&A session so you can get feedback on your own data strategy or solutions to your data challenges.
Founding a Data Democracy: How Ivy Tech is Leading a Revolution in Higher Edu...Brendan Aldrich
Is your data reliable, intuitive, interactive, and immediately available to everyone who needs it? This presentation explores how Ivy Tech, the nation's largest singly-accredited community college system, coupled cloud-based and open-source platforms with predictive analytics and sustainable data practices to create a cost-effective governed data democracy that's helping administrators, staff, and faculty access the data they need to drive student success.
Accelerate Self-service Analytics with Universal Semantic Model Denodo
This webinar is part of the Data Virtualization Packed Lunch series: https://goo.gl/W1BeCb
Self-service initiatives are successful when business users’ views of the data are holistic and consistent across distinct business functions as enabled by Universal Semantic Model across multiple analytical/BI tools.
Attend this session to learn how data virtualization:
• Is the best fit technology to enable the Universal Semantic Model
• Accelerates Self-service BI initiatives
• Provides a holistic view of the data
Agenda:
• Data Virtualization for Self-service Analytics
• Product Demonstration
• Summary & Next Steps
• Q&A
Watch this webinar on demand here: https://goo.gl/je1t56
IBM's Watson is a machine-learning platform that’s been built to mirror the same learning process that humans have: Observe, Interpret, Evaluate and Decide. Through the use of this cognitive framework, Watson can search through a database of information and pull out key insights to bridge gaps in human knowledge. It’s expertise scaling for enterprise.
Watson has already helped businesses across a variety of industries increase their customer engagement, data discovery and informed decision making abilities. Is your business next?
Similar to Webinar: The Hybrid Data Ecosystem: Are You Battling an Illogical Data Warehouse? (20)
The AI Mindset: Bridging Industry and Academic PerspectivesSnapLogic
In this presentation, find out how Dr. Greg Benson brought ML into the SnapLogic platform and how to combine the strengths of industry practices and academic methodologies to achieve success with ML.
Supercharging Self-Service API Integration with AI SnapLogic
Using an AI-Driven Model for Self-Service API Integration Developers must often build new applications that pull together multiple back-end services delivered via APIs. A new mobile app, for example, may need to connect to backend ERP or CRM systems using a variety of third-party APIs, which are then integrated and delivered as a new API that provides the mobile app interface. By applying machine learning to this process, developers can greatly increase the speed and reduce the complexity of API integration and management, empowering non-developers with the benefits of API integration.
This presentation outlines the challenges of API integration in a modern cloud context and explains how developers can leverage machine learning to speed application development, reduce errors and improve security and compliance.
Intelligent data summit: Self-Service Big Data and AI/ML: Reality or Myth?SnapLogic
Companies collect more data but struggle with how to glean the best insights. Use of Machine Learning also needs power data integration.
In this presentation, Janet Jaiswal, SnapLogic's VP of product marketing, reviews key strategies and technologies to deliver intelligent data via self-service ML models.
To learn more, visit https://www.snaplogic.com
Come see what life is like working for SnapLogic. To learn more, please visit https://www.snaplogic.com/careers #SnapCulture
If you liked this presentation and are interested in working for SnapLogic, then please visit www.snaplogic.com/careers. We're hiring in many locations!
Find out why data is the fuel by which organizations make decisions and how intelligent, self-service integration is the key to unlocking your data’s full potential. Also, learn more about Euromoney’s journey to selecting an integration platform, and why they chose SnapLogic.
Data Warehousing in the Cloud: Practical Migration Strategies SnapLogic
Dave Wells of Eckerson Group discusses why cloud data warehousing has become popular, the many benefits, and the corresponding challenges. Migrating an existing data warehouse to the cloud is a complex process of moving schema, data, and ETL. The complexity increases when architectural modernization, restructuring of database schema, or rebuilding of data pipelines is needed.
Self-Service Integration in the Age of Digital Transformation at BoxSnapLogic
Find out how Alan Leung, senior manager, data strategy and architecture at Box is utilizing SnapLogic to help make data integration seamless with self-service.
Live Demo: Accelerate the integration of workday applicationsSnapLogic
This slide deck focuses on a deep dive into cloud application integration – specifically how SnapLogic accelerates the integration of Workday applications into modern enterprise environments. Watch the live demo here: https://youtu.be/vFa06tvEkHM
Join featured speaker, Ohad Yehudai, senior solutions engineer at SnapLogic and learn why hundreds of customers across the Global 2000 – rely on SnapLogic to automate business processes, accelerate analytics, and drive digital transformation.
The new dominant companies are running on data SnapLogic
The cost of Digital Transformation is dropping rapidly. The technologies and methodologies are evolving to open up new opportunities for new and established corporations to drive business. We will examine specific examples of how and why a combination of robust infrastructure, cloud first and machine learning can take your company to the next level of value and efficiency.
Rich Dill, SnapLogic's enterprise solutions architect, at Big Data LDN 2017.
This 451 Impact Report reviews SnapLogic's recommendation engine, SnapLogic Integration Assistant, which is the first deliverable based on its new Iris artificial intelligence engine. Published by 451 Research as part of their syndicated Market Insight subscription service and subsequently licensed for commercial use by SnapLogic.
Webinar: Evolution of Data Management for the IoTSnapLogic
The Internet of Things is here - slowly, unevenly and in vertical markets, creating new data silos. Evolving data management will be required to realize the full potential of the IoT. There are specific needs for properly addressing IoT data, which legacy ETL tools and database management systems simply don't handle well.
This presentation is from a webinar with Joseph A. di Paolantonio, industry expert working at the convergence of IoT with data management and analytics, where he discusses five recommendations on gaining advantage through the latest IoT data management technologies and business processes.
Have you fallen for the API lie? The API economy implies everything easily connects and simply needs to be governed and managed. But do the data integration pains simply go away? Find out in this Intellyx whitepaper written by Jason Bloomberg.
Read more at https://intellyx.com/2016/08/29/the-api-lie/ and learn how SnapLogic can alleviate data integration pains at www.snaplogic.com.
Big Data Management: What's New, What's Different, and What You Need To KnowSnapLogic
This presentation is from a recorded webinar with 451 Research analyst and thought leader Matt Aslett for a discussion about the growing importance of the right data management best practices and techniques for delivering on the promise of big data in the enterprise. Matt reviews the big data landscape, how the data lake complements and competes with the data warehouse, and key takeaways as you move from big data test and development environments to production. You can watch the webinar here: http://bit.ly/25ShiQu
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.
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.
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.
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.
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
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.
Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...Ramesh Iyer
In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.
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.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
To Graph or Not to Graph Knowledge Graph Architectures and LLMs
Webinar: The Hybrid Data Ecosystem: Are You Battling an Illogical Data Warehouse?
1. The Hybrid Data Ecosystem:
AreYou Battling an Illogical
Data Warehouse?
Live Webinar
Wednesday
April 24, 2015
2. Today’s Featured Presenter
John L Myers
Managing Research Director
Enterprise Management Associates
JMyers@EMAusa.com
@johnlmyers44
John has over 10 years of experience working in areas
related to business analytics in professional services
consulting and product development roles.Additionally,
John helps organizations solve their business analytics
problems whether they relate to operational platforms,
such as customer care or billing, or applied analytical
applications, such as revenue assurance or fraud
management.
3. Topics
• What’s Driving Data Management Evolution?
• Internet ofThings
• Data Lakes
• Speed of Deployment
• Brief Introduction to SnapLogic
• Where to Go From Here
• Question and Answer
4. Poll Question #1
Where are you on your big data journey?
A. Live in Production………...13%
B. Test and Development…….7%
C. Still Evaluating…………….27%
D. Just Researching…………..53%
10. Poll Question #2
What are your primary big data use cases?
A. Customer analytics………………………….…14%
B. Operational analytics (machine, devices, etc.)…14%
C. Data-driven products and services (IoT)……….7%
D. Fraud and compliance…………………………...0%
E. Archiving data…………………………………...0%
F. Other…………………………………………....7%
G. Don’t know yet/researching…………………...57%
16. Poll Question #3
How are you thinking about big data management/ Hadoop
relative to your current enterprise data warehouse?
A. We want to replace current
approaches if possible…………14%
B. It must complement current
approaches…………………….57%
C. Too soon to say………………..29%
17. Where to Put This Information:
Data Lakes
Slide 17
26. Today’s Agenda
• What’s Driving Data Management Evolution?
• Internet ofThings
• Data Lakes
• Speed of Deployment
• Brief Introduction to SnapLogic
• Where to Go From Here
• Question and Answer
27. • Experienced Team: Leadership from Informatica,
Salesforce, Sybase, Cognos, CA
• Headquarters: San Mateo, California
• Investors: Andreessen Horowitz & Ignition
• Advisory Board: AstraZeneca, HP, Symantec,
Yahoo
• Customers: Adobe,Acxiom,AstraZeneca,
Blackberry, Bloomin’ Brands, CapitalOne, Cisco,
Cognizant, Danone, Fox Sports, GamesStop, GE,
HP, IDG, iRobot, RocketFuel,Target,Yelp, Uber, USF,
Xactly
SnapLogic: Unified Platform to Connect Faster
28. Why SnapLogic Elastic Integration?
Modern ConnectedProductiveUnified
We can do more in two hours with SnapLogic than we
could in two days with traditional solutions.
31. Big Data Integration in a Snap
@SnapLogic
Facebook.com/SnapLogic
Plus.google.com/+SnapLogic
Learn more at!
www.SnapLogic.com!
!
Editor's Notes
The buzz factor generated by the business press as well as the IT pundits has eclipsed most any coverage in the past 10 years. The challenge with this coverage is to cut through the buzz words and get down to whether big data can drive change and provide a greater level of insight. How many of you have an executive who wants you to run down to the store and pick up a couple of those Hadoop things? Big data is not about Hadoop—it is about analytics and business insights.
Internet of Things Adoption
It is currently adopted and an essential part of our business 17.0%
It is currently adopted and an important part of our business 29.3%
It is currently adopted and mostly supplemental 16.8%
It is planned for adoption in the near future (3-6 months) 10.5%
It is being researched in next year (6-12 months) 15.6%
It is not planned for research or adoption 10.5%
Connected Devices
Geo-location devices (e.g., information from smartphones) 14.712918660%
Corporate infrastructure devices (e.g., office building thermostats; HVAC control) 13.875598086%
Manufacturing and production devices (e.g., assembly line; restaurant food prep) 10.167464115%
Connected fleet vehicles (e.g., fleet trucks; planes) 9.449760766%
Consumer infrastructure devices (e.g., home thermostats; heating and cooling) 8.612440191%
Consumer durable goods (e.g., television; washing machine; refrigerator) 8.373205742%
Utilities infrastructure (e.g., electrical, water) 8.133971292%
Consumer connected vehicles (e.g., personal automobile) 7.177033493%
Government connected fleet vehicles (e.g., city buses; state road maintenance) 6.578947368%
Bio-medical devices (e.g., Fitbit; heart monitor) 6.459330144%
Government infrastructure (e.g., roadways and bridges) 5.861244019%
Challenges to Implementing a Data Lake
Lack of information management/data integration to link existing platforms to data lake 22.8%
Lack of executive backing for data lake concept 21.9%
Existing data management environment will not support scaling 21.1%
Freshness (or lack thereof) of data in the data lake (i.e., fear of data swamp) 17.2%
Unclear business case for data lake implementation 16.8%
Preferred Big Data Project Implementation Method
Customizable applications from external provider 20.3%
Hand-rolled development by internal resource(s) 18.0%
Custom development by external consultant(s) 17.3%
Productized development by external provider 15.6%
Stand-alone products from external provider(s) 14.2%
Bespoke development by internal staff contractor(s) 13.8%
Implementing Big Data Integration
Internal design patterns for data processing 22.6%
Software vendor schemes for multi-structured data parsing/processing 20.9%
Industry data models for target data source configuration 20.2%
Software vendor designed blueprints for data integration processing 18.2%
SnapLogic is the industry’s first unified data and application integration platform as a service (iPaaS). Our vision is to help enterprise IT organizations and lines of business to connect faster and we're working with enterprise IT organizations who are re-thinking their data, application and API integration layer. Customers like Adobe, Cisco, Target, GE are finding that they are able to do these things as much as 5x faster by using a modern integration platform that is built to handle both streaming and batch-oriented big data integration.
Founded by Gaurav Dhillon, who also founded and ran Informatica for 12 years, taking the company through a successful IPO. SnapLogic is backed by Ignition Partners and Andreeson Horowitz and our management team is world class. We’re based in San Mateo, California and we have offices in Colorado, Boston and New York with plans to expand to Europe later in 2015.
There are 4 primary reasons companies choose SnapLogic to connect faster.
We’re a unified platform for data and application integration
Our productive user experience is designed to enable so-called “citizen integrators” and advanced users to accelerate time to value.
Our modern architecture is built for web scale, with a hybrid architecture that respects data gravity.
We have 300+ connectors, called Snaps, to small and big data sources, cloud and on-prem business applications, virtually any data, app, API technology you can think of.
Before we discuss use cases and dive into a custom demonstration based on your requirements, I’ll review each of these in a little more detail.
Ovum quote – SnapLogic SWOT assessment March 2015: http://campaigns.snaplogic.com/rs/snaplogic/images/assessment-snaplogic-elastic-integration-platform.pdf