John Sing's latest April 2014 technology presentation overviewing the interaction of Cloud, Big Data Analytics, Mobile, and Social technologies upon today's business models. Competitive Advantage value in today's business models comes from the proper *blending* of these technologies, in the proper way unique to one's business model. We discuss the Journey from Data to Value, provide big picture review of these technology's impact on today's world. My goal here is to provide a holistic overview of technologies for multiple business audiences to understand. You may use this material to further your own business goals. All I ask is that you give full attribution to me or to the original authors (attributed on each slide), use proper business ethics, courtesy. If you are further interested in what I have to say / contribute, please contact me! http://www.johnsing.us
Welcome to 2015's Digital Enterprise IT Infrastructure John Sing
"Welcome to 2015's IT Infrastructure" - CIO presentation, June 3, 2015, Tampa, FL. Reviews state of modern 2015 Digital Enterprise, Digital Customer Journey impact on modern business model and IT infrastructure, resulting need for global shared data storage infrastructure. Presented by one of IBM Spectrum Scale's product managers, John Sing.
Downloadable if fully editable PowerPoint. Use for your benefit in business and career. All I ask is that you give me credit as the original author. Enjoy!
The document discusses e-commerce and how the internet has changed business models and transactions. It describes the unique features of e-commerce like ubiquity, global reach, and personalization. It also discusses different types of e-commerce like B2C, B2B, and C2C. Digital markets and goods are explained along with how the internet lowers costs. Various business models used in e-commerce are also summarized.
Slides of the lecture "Web-based business models" taught by Eduardo Larrain at HEC, a French business school (Strategic Management Master) during 4 classes in February 2013
2014 class with updated slides is here : http://fr.slideshare.net/EduardoLarrain/201402-web-based-business-models-lecture
1. What’s the web?
2. What’s a business model?
3. Why study Internet-based business models?
4. What are the key elements of a business model?
• Value proposition and revenue streams
• Drill-down of key Entertainment markets: music, video games, book publishing
• Customer channels, customer relationships, key partners, activities, resources, cost structure
5. What are the business models of Internet heavyweights: Facebook, Google, Zynga, Linkedin, Groupon
6. What are the most promising business models among the world’s most valuable companies: Digital 100, Twitter
7. Conclusion and farewell
8. Appendix: group project and individual test
Chapter 1-E-Commerce (the revolution is just beginning)Ismail Zackariya
This document is from a textbook on e-commerce that discusses the evolution and growth of e-commerce. It covers topics such as the development of the internet and web, the rise of social media and mobile commerce, privacy issues, and predictions for the future of e-commerce. The document is copyrighted and published by Pearson Education.
Fully integrated into the NX suite, AnalyzerNX
Digital WorkSpace NX includes the Mobile Edition: reflecting the trend of taking knowledge and expertise from the field of digital marketing and ecommerce and applying
it to the mobile world.
Citrix Mobile Analytics Report September 2014: Mobile subscriber data usage t...Citrix
The Citrix Mobile Analytics Report for September 2014 provides insight into the personal experience of the mobile network subscriber and the impact of subscriber data usage on the mobile network. Citrix collected data from a global cross-section of its customers and applied big data analysis techniques to develop the report, which is intended to provide mobile network operators with real-world examples that can inform their decisions as they consider ways to improve their subscribers’ experience and better monetize data traffic. The report further provides the general reader with a snapshot of the state of the mobile data ecosystem.
Citrix XenApp is back and simpler than ever to deploy, scale and manage. Built on the new FlexCast Management Architecture, XenApp 7.5 and Citrix XenDesktop 7.5 deliver five generations of Windows apps and desktops with built-in personalization, provisioning and user experience monitoring. The product team will explain how to migrate existing workloads or deploy new ones, and how to flex, grow or transform your virtual app and desktop environment with public cloud infrastructure.
Welcome to 2015's Digital Enterprise IT Infrastructure John Sing
"Welcome to 2015's IT Infrastructure" - CIO presentation, June 3, 2015, Tampa, FL. Reviews state of modern 2015 Digital Enterprise, Digital Customer Journey impact on modern business model and IT infrastructure, resulting need for global shared data storage infrastructure. Presented by one of IBM Spectrum Scale's product managers, John Sing.
Downloadable if fully editable PowerPoint. Use for your benefit in business and career. All I ask is that you give me credit as the original author. Enjoy!
The document discusses e-commerce and how the internet has changed business models and transactions. It describes the unique features of e-commerce like ubiquity, global reach, and personalization. It also discusses different types of e-commerce like B2C, B2B, and C2C. Digital markets and goods are explained along with how the internet lowers costs. Various business models used in e-commerce are also summarized.
Slides of the lecture "Web-based business models" taught by Eduardo Larrain at HEC, a French business school (Strategic Management Master) during 4 classes in February 2013
2014 class with updated slides is here : http://fr.slideshare.net/EduardoLarrain/201402-web-based-business-models-lecture
1. What’s the web?
2. What’s a business model?
3. Why study Internet-based business models?
4. What are the key elements of a business model?
• Value proposition and revenue streams
• Drill-down of key Entertainment markets: music, video games, book publishing
• Customer channels, customer relationships, key partners, activities, resources, cost structure
5. What are the business models of Internet heavyweights: Facebook, Google, Zynga, Linkedin, Groupon
6. What are the most promising business models among the world’s most valuable companies: Digital 100, Twitter
7. Conclusion and farewell
8. Appendix: group project and individual test
Chapter 1-E-Commerce (the revolution is just beginning)Ismail Zackariya
This document is from a textbook on e-commerce that discusses the evolution and growth of e-commerce. It covers topics such as the development of the internet and web, the rise of social media and mobile commerce, privacy issues, and predictions for the future of e-commerce. The document is copyrighted and published by Pearson Education.
Fully integrated into the NX suite, AnalyzerNX
Digital WorkSpace NX includes the Mobile Edition: reflecting the trend of taking knowledge and expertise from the field of digital marketing and ecommerce and applying
it to the mobile world.
Citrix Mobile Analytics Report September 2014: Mobile subscriber data usage t...Citrix
The Citrix Mobile Analytics Report for September 2014 provides insight into the personal experience of the mobile network subscriber and the impact of subscriber data usage on the mobile network. Citrix collected data from a global cross-section of its customers and applied big data analysis techniques to develop the report, which is intended to provide mobile network operators with real-world examples that can inform their decisions as they consider ways to improve their subscribers’ experience and better monetize data traffic. The report further provides the general reader with a snapshot of the state of the mobile data ecosystem.
Citrix XenApp is back and simpler than ever to deploy, scale and manage. Built on the new FlexCast Management Architecture, XenApp 7.5 and Citrix XenDesktop 7.5 deliver five generations of Windows apps and desktops with built-in personalization, provisioning and user experience monitoring. The product team will explain how to migrate existing workloads or deploy new ones, and how to flex, grow or transform your virtual app and desktop environment with public cloud infrastructure.
The document discusses how to build predictive models from noisy sensor data collected during oil and gas drilling operations. It notes that sensor data can be noisy, requiring data cleansing techniques to derive meaningful signals. It also discusses extracting relevant features from the cleansed sensor data and using those features to build predictive models, with the goal of predicting drilling failures and improving operations.
Big Data in the Cloud: Enabling the Fourth Paradigm by Matching SMEs with Dat...Alexandru Iosup
Data are pouring in, and defining and providing data-processing services at massive scale, in short, Big Data services, could significantly improve the revenue of Europe's Small and Medium Enterprises (SMEs). A paradigm shift is about occur, one in which data processing becomes a basic life utility, for both SMEs and the European people. Although the burgeoning datacenter industry, of which the Netherlands is a top player in Europe, is promising to enable Big Data services, the architectures and even infrastructure for these services are still lagging behind in performance, efficiency, and sophistication, and are built as monoliths reminding us of traditional data silos. Can we remove the performance and efficiency limitations of the current Big Data ecosystems, that is, of the complex stacks of middleware that are currently in use, for Big Data services? In this talk, I will present several use cases (workloads) of Big Data services for time-stamped [2,3] and graph data [4], evaluate or benchmark the performance of several Big Data stacks [3,4] for these use-cases, and present a path (and promising early results) to providing a generic, data-agnostic, non-monolithic Big Data architecture that can efficiently and elastically use datacenter resources via cloud computing interfaces [1,5].
[1] A. L. Varbanescu and A. Iosup, On Many-Task Big Data Processing: from GPUs to Clouds. Proc. of SC|12 (MTAGS).? http://www.pds.ewi.tudelft.nl/~iosup/many-tasks-big-data-vision13mtags_v100.pdf
[2] de Ruiter and Iosup. A workload model for MapReduce. MSc thesis at TU Delft. Jun 2012. Available online via TU Delft Library, http://library.tudelft.nl
[3] Hegeman, Ghit, Capotã, Hidders, Epema, Iosup. The BTWorld Use Case for Big Data Analytics: Description, MapReduce Logical Workflow, and Empirical Evaluation. IEEE Big Data 2013. http://www.pds.ewi.tudelft.nl/~iosup/btworld-mapreduce-workflow13ieeebigdata.pdf
[4] Y. Guo, M. Biczak, A. L. Varbanescu, A. Iosup, C. Martella, and T. L. Willke. How Well do Graph-Processing Platforms Perform? An Empirical Performance Evaluation and Analysis. IEEE IPDPS 2014. http://www.pds.ewi.tudelft.nl/~iosup/perf-eval-graph-proc14ipdps.pdf
[5] B. Ghit, N. Yigitbasi, A. Iosup, and D. Epema. Balanced Resource Allocations Across Multiple Dynamic MapReduce Clusters. ACM SIGMETRICS 2014. http://pds.twi.tudelft.nl/~iosup/dynamic-mapreduce14sigmetrics.pdf
This document provides an overview of open data and applications created using open data from various government sources. It introduces Mohd Izhar Firdaus Ismail and his background working with data. Examples of open data applications from Data.gov (US) and Data.gov.uk (UK) are described that address issues like locating alternative fuel stations, planning farming activities based on weather, and choosing a college based on affordability. Tips are provided for getting started with data work, including cleaning, analyzing and visualizing data using open source tools like Python libraries, Apache Zeppelin and Hortonworks.
IRJET- Youtube Data Sensitivity and Analysis using Hadoop FrameworkIRJET Journal
This document discusses analyzing YouTube data using the Hadoop framework. It proposes a system to filter and analyze YouTube comment content to remove sensitive data using natural language processing and store the data in Hadoop Distributed File System (HDFS). MapReduce is used to extract key-value pairs from the data and Hadoop provides a scalable platform for analyzing the large-scale YouTube data.
- The document summarizes key internet trends from a 2013 conference on internet trends.
- Mobile internet access and usage is growing rapidly, surpassing desktop internet access in some countries like China. Mobile transactions and searches now exceed desktop in places.
- Sharing of photos, videos, fitness data and other content on mobile and social platforms is exploding. Hundreds of millions of photos are now uploaded daily.
- Facebook has seen strong revenue growth driven by rising mobile users and usage, though desktop ARPU is declining. Mobile now accounts for over two-thirds of Facebook users and 30% of ad revenue.
Kleiner Perkins Internet Trends May 2013Dan Schiffman
- The document summarizes key internet trends from a 2013 conference on internet trends.
- Mobile internet access and usage is growing rapidly, surpassing desktop access in some countries like China. Mobile transactions and searches now exceed desktop in places.
- Social media and content sharing across photos, videos, fitness data is exploding due to smartphones and apps. Billions of photos and hours of video are now uploaded daily.
- Facebook has seen strong revenue growth driven by rising mobile users and usage, though desktop ARPU is declining. Mobile now accounts for over two-thirds of Facebook users and 30% of ad revenue.
This document summarizes key internet trends from a 2013 conference. It finds continued strong global growth in internet users and mobile momentum. Specifically, it notes that the number of photos, videos, and other digital content uploaded and shared daily has increased dramatically in recent years and is accelerating, driven especially by mobile. It also discusses how industries and behaviors are being reimagined and transformed by these digital trends.
This document summarizes key internet trends from a 2013 conference. It finds that global internet users grew 8% in 2012 to 2.4 billion users, driven largely by emerging markets like China and India. Mobile internet access is growing aggressively, surpassing 50% of total internet traffic. An increasing amount of content like photos, videos, and fitness data is being uploaded and shared through mobile apps and social networks. This real-time sharing of experiences online represents a major shift in how people interact and get information globally.
This document summarizes key trends from the Internet Trends D11 conference presented by Mary Meeker and Liang Wu. It discusses the continued growth of internet users globally, with mobile momentum and re-imagination of traditional industries through uploading and sharing of photos, videos, and other data online and through mobile devices. Mobile traffic as a percentage of global internet traffic is growing at a rate of 1.5x per year.
Spohrer smarter service systems transdisciplinarity 20141121 v7ISSIP
The document discusses the history and future of artificial intelligence. It provides an overview of key events in AI development from the 1956 Dartmouth Conference to modern applications of cognitive systems. The document also discusses upcoming conferences related to service innovation and transdisciplinary collaboration among researchers and practitioners.
From DARPA to Shakespeare: All the Data we Can Handle Kimberly Hoffman
This document discusses the opportunities and challenges of big data for libraries, researchers, and digital humanities. It notes that big data is growing exponentially from sensors, internet data, and scientific instruments. Libraries and librarians have new roles to play in data management, curation, and research data services. Researchers need help with data literacy, data management plans, and archiving research data. Digital humanities can use big data and visualization to gain new insights. Standards like TEI and services like data repositories are important to enable access and reuse of data.
"Big Data" is term heard more and more in industry – but what does it really mean? There is a vagueness to the term reminiscent of that experienced in the early days of cloud computing. This has led to a number of implications for various industries and enterprises. These range from identifying the actual skills needed to recruit talent to articulating the requirements of a "big data" project. Secondary implications include difficulties in finding solutions that are appropriate to the problems at hand – versus solutions looking for problems. This presentation will take a look at Big Data and offer the audience with some considerations they may use immediately to assess the use of analytics in solving their problems.
The talk begins with an idea of how big "Big Data" can be. This leads to an appreciation of how important "Management Questions" are to assessing analytic needs. The fields of data and analysis have become extremely important and impact nearly all facets of life and business. During the talk we will look at the two pillars of Big Data – Data Warehousing and Predictive Analytics. Then we will explore the open source tools and datasets available to NATO action officers to work in this domain. Use cases relevant to NATO will be explored with the purpose of show where analytics lies hidden within many of the day-to-day problems of enterprises. The presentation will close with a look at the future. Advances in the area of semantic technologies continue. The much acclaimed consultants at Gartner listed Big Data and Semantic Technologies as the first- and third-ranked top technology trends to modernize information management in the coming decade. They note there is an incredible value "locked inside all this ungoverned and underused information." HQ SACT can leverage this powerful analytic approach to capture requirement trends when establishing acquisition strategies, monitor Priority Shortfall Areas, prepare solicitations, and retrieve meaningful data from archives.
This document provides an overview of IBM and its university programs from a presentation given by Jim Spohrer, the director of IBM's Global University Programs and Cognitive Systems Institute Group. Some key points:
1. IBM operates globally with over 400,000 employees and has grown through acquisitions. It leads in patent generation and many employees work remotely.
2. IBM has had a presence in Silicon Valley since 1943 and helped establish the region's technology industry. It now does research in areas like new materials, cognitive systems, and cloud computing.
3. IBM works with universities to inspire students to build the future, and views them as where the future is emerging. Its university programs aim to accelerate regional development through
Mary Meeker & KPCB - Internet Trends 2013Alex Gorski
The document summarizes key internet trends from a 2013 conference on internet trends. Some of the main points covered include:
- Global internet users reached 2.4 billion in 2012 with 8% annual growth driven by emerging markets like China and India.
- Mobile internet access and usage is growing rapidly and surpassing desktop access in some countries like China. Mobile transactions and traffic are also rising significantly.
- Uploading and sharing of photos, videos, sound clips and other data from mobile devices is exploding and growing exponentially each year across many platforms.
- Social media usage continues shifting to mobile platforms with over half of Facebook users now accessing the platform via mobile.
This document summarizes key internet trends from a 2013 conference. It finds that global internet users grew 8% in 2012 to 2.4 billion users, driven largely by emerging markets like China and India. Mobile internet access is growing aggressively, surpassing 50% of total internet traffic. An increasing amount of content like photos, videos, and sound is being uploaded and shared online from mobile devices. Social media platforms are also seeing explosive growth in users and user-generated content being shared.
The latest edition of the annual Internet Trends report finds continued robust online growth. There are now 2.4 billion Internet users around the world, and the total continues to grow apace. Mobile usage is expanding rapidly, while the mobile advertising opportunity remains largely untapped. The report reviews the shifting online landscape, which has become more social and content rich, with expanded use of photos, video and audio. Looking ahead, the report finds early signs of growth for wearable computing devices, like glasses, connected wrist bands and watches - and the emergence of connected cars, drones and other new platforms.
The document summarizes key internet trends from a 2013 conference on internet trends. Some of the main points covered include:
- Global internet users reached 2.4 billion in 2012 with 8% annual growth driven by emerging markets like China and India.
- Mobile internet access and usage is growing rapidly and surpassing desktop access in some countries like China. Mobile transactions and traffic are also rising significantly.
- Uploading and sharing of photos, videos, sound clips and other data from mobile devices is exploding and growing exponentially each year across many platforms.
- Social media usage continues shifting to mobile platforms with over half of Facebook users now accessing the platform via mobile.
5 Disruptive Technologies Changing Healthcare - October 2014John Sing
In October 2014, I was fortunate to attend a major CIO breakfast in Tampa, Florida, discussing 5 major technology areas that are disrupting and changing Healthcare. This presentation documents that discussion, includes links to all the technologies discussed, and includes the commentary (in the chart notes) of the speakers. Although it is already April 2014 as of this upload, the trends and information are still relevant, as we all wrestle with keeping up with the hyper-dynamic, technology-driven changes in all of our industries. Thank you to Mark Swanson, Distinguished Engineer, Brighthouse Networks, (Tampa, FL) and Dr. Khalid Moidu, Chief Information Medical Officer of Family Physicians Group, (Orlando, FL) for providing us these insights.
Resume john sing_2015_01_29_executive_it_architect_pre-sales_engineerJohn Sing
Some who have enjoyed my presentations, have asked if my resume is available on Slideshare.net. In response to that, here is my most recent version. Thank you!
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The document discusses how to build predictive models from noisy sensor data collected during oil and gas drilling operations. It notes that sensor data can be noisy, requiring data cleansing techniques to derive meaningful signals. It also discusses extracting relevant features from the cleansed sensor data and using those features to build predictive models, with the goal of predicting drilling failures and improving operations.
Big Data in the Cloud: Enabling the Fourth Paradigm by Matching SMEs with Dat...Alexandru Iosup
Data are pouring in, and defining and providing data-processing services at massive scale, in short, Big Data services, could significantly improve the revenue of Europe's Small and Medium Enterprises (SMEs). A paradigm shift is about occur, one in which data processing becomes a basic life utility, for both SMEs and the European people. Although the burgeoning datacenter industry, of which the Netherlands is a top player in Europe, is promising to enable Big Data services, the architectures and even infrastructure for these services are still lagging behind in performance, efficiency, and sophistication, and are built as monoliths reminding us of traditional data silos. Can we remove the performance and efficiency limitations of the current Big Data ecosystems, that is, of the complex stacks of middleware that are currently in use, for Big Data services? In this talk, I will present several use cases (workloads) of Big Data services for time-stamped [2,3] and graph data [4], evaluate or benchmark the performance of several Big Data stacks [3,4] for these use-cases, and present a path (and promising early results) to providing a generic, data-agnostic, non-monolithic Big Data architecture that can efficiently and elastically use datacenter resources via cloud computing interfaces [1,5].
[1] A. L. Varbanescu and A. Iosup, On Many-Task Big Data Processing: from GPUs to Clouds. Proc. of SC|12 (MTAGS).? http://www.pds.ewi.tudelft.nl/~iosup/many-tasks-big-data-vision13mtags_v100.pdf
[2] de Ruiter and Iosup. A workload model for MapReduce. MSc thesis at TU Delft. Jun 2012. Available online via TU Delft Library, http://library.tudelft.nl
[3] Hegeman, Ghit, Capotã, Hidders, Epema, Iosup. The BTWorld Use Case for Big Data Analytics: Description, MapReduce Logical Workflow, and Empirical Evaluation. IEEE Big Data 2013. http://www.pds.ewi.tudelft.nl/~iosup/btworld-mapreduce-workflow13ieeebigdata.pdf
[4] Y. Guo, M. Biczak, A. L. Varbanescu, A. Iosup, C. Martella, and T. L. Willke. How Well do Graph-Processing Platforms Perform? An Empirical Performance Evaluation and Analysis. IEEE IPDPS 2014. http://www.pds.ewi.tudelft.nl/~iosup/perf-eval-graph-proc14ipdps.pdf
[5] B. Ghit, N. Yigitbasi, A. Iosup, and D. Epema. Balanced Resource Allocations Across Multiple Dynamic MapReduce Clusters. ACM SIGMETRICS 2014. http://pds.twi.tudelft.nl/~iosup/dynamic-mapreduce14sigmetrics.pdf
This document provides an overview of open data and applications created using open data from various government sources. It introduces Mohd Izhar Firdaus Ismail and his background working with data. Examples of open data applications from Data.gov (US) and Data.gov.uk (UK) are described that address issues like locating alternative fuel stations, planning farming activities based on weather, and choosing a college based on affordability. Tips are provided for getting started with data work, including cleaning, analyzing and visualizing data using open source tools like Python libraries, Apache Zeppelin and Hortonworks.
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This document discusses analyzing YouTube data using the Hadoop framework. It proposes a system to filter and analyze YouTube comment content to remove sensitive data using natural language processing and store the data in Hadoop Distributed File System (HDFS). MapReduce is used to extract key-value pairs from the data and Hadoop provides a scalable platform for analyzing the large-scale YouTube data.
- The document summarizes key internet trends from a 2013 conference on internet trends.
- Mobile internet access and usage is growing rapidly, surpassing desktop internet access in some countries like China. Mobile transactions and searches now exceed desktop in places.
- Sharing of photos, videos, fitness data and other content on mobile and social platforms is exploding. Hundreds of millions of photos are now uploaded daily.
- Facebook has seen strong revenue growth driven by rising mobile users and usage, though desktop ARPU is declining. Mobile now accounts for over two-thirds of Facebook users and 30% of ad revenue.
Kleiner Perkins Internet Trends May 2013Dan Schiffman
- The document summarizes key internet trends from a 2013 conference on internet trends.
- Mobile internet access and usage is growing rapidly, surpassing desktop access in some countries like China. Mobile transactions and searches now exceed desktop in places.
- Social media and content sharing across photos, videos, fitness data is exploding due to smartphones and apps. Billions of photos and hours of video are now uploaded daily.
- Facebook has seen strong revenue growth driven by rising mobile users and usage, though desktop ARPU is declining. Mobile now accounts for over two-thirds of Facebook users and 30% of ad revenue.
This document summarizes key internet trends from a 2013 conference. It finds continued strong global growth in internet users and mobile momentum. Specifically, it notes that the number of photos, videos, and other digital content uploaded and shared daily has increased dramatically in recent years and is accelerating, driven especially by mobile. It also discusses how industries and behaviors are being reimagined and transformed by these digital trends.
This document summarizes key internet trends from a 2013 conference. It finds that global internet users grew 8% in 2012 to 2.4 billion users, driven largely by emerging markets like China and India. Mobile internet access is growing aggressively, surpassing 50% of total internet traffic. An increasing amount of content like photos, videos, and fitness data is being uploaded and shared through mobile apps and social networks. This real-time sharing of experiences online represents a major shift in how people interact and get information globally.
This document summarizes key trends from the Internet Trends D11 conference presented by Mary Meeker and Liang Wu. It discusses the continued growth of internet users globally, with mobile momentum and re-imagination of traditional industries through uploading and sharing of photos, videos, and other data online and through mobile devices. Mobile traffic as a percentage of global internet traffic is growing at a rate of 1.5x per year.
Spohrer smarter service systems transdisciplinarity 20141121 v7ISSIP
The document discusses the history and future of artificial intelligence. It provides an overview of key events in AI development from the 1956 Dartmouth Conference to modern applications of cognitive systems. The document also discusses upcoming conferences related to service innovation and transdisciplinary collaboration among researchers and practitioners.
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This document discusses the opportunities and challenges of big data for libraries, researchers, and digital humanities. It notes that big data is growing exponentially from sensors, internet data, and scientific instruments. Libraries and librarians have new roles to play in data management, curation, and research data services. Researchers need help with data literacy, data management plans, and archiving research data. Digital humanities can use big data and visualization to gain new insights. Standards like TEI and services like data repositories are important to enable access and reuse of data.
"Big Data" is term heard more and more in industry – but what does it really mean? There is a vagueness to the term reminiscent of that experienced in the early days of cloud computing. This has led to a number of implications for various industries and enterprises. These range from identifying the actual skills needed to recruit talent to articulating the requirements of a "big data" project. Secondary implications include difficulties in finding solutions that are appropriate to the problems at hand – versus solutions looking for problems. This presentation will take a look at Big Data and offer the audience with some considerations they may use immediately to assess the use of analytics in solving their problems.
The talk begins with an idea of how big "Big Data" can be. This leads to an appreciation of how important "Management Questions" are to assessing analytic needs. The fields of data and analysis have become extremely important and impact nearly all facets of life and business. During the talk we will look at the two pillars of Big Data – Data Warehousing and Predictive Analytics. Then we will explore the open source tools and datasets available to NATO action officers to work in this domain. Use cases relevant to NATO will be explored with the purpose of show where analytics lies hidden within many of the day-to-day problems of enterprises. The presentation will close with a look at the future. Advances in the area of semantic technologies continue. The much acclaimed consultants at Gartner listed Big Data and Semantic Technologies as the first- and third-ranked top technology trends to modernize information management in the coming decade. They note there is an incredible value "locked inside all this ungoverned and underused information." HQ SACT can leverage this powerful analytic approach to capture requirement trends when establishing acquisition strategies, monitor Priority Shortfall Areas, prepare solicitations, and retrieve meaningful data from archives.
This document provides an overview of IBM and its university programs from a presentation given by Jim Spohrer, the director of IBM's Global University Programs and Cognitive Systems Institute Group. Some key points:
1. IBM operates globally with over 400,000 employees and has grown through acquisitions. It leads in patent generation and many employees work remotely.
2. IBM has had a presence in Silicon Valley since 1943 and helped establish the region's technology industry. It now does research in areas like new materials, cognitive systems, and cloud computing.
3. IBM works with universities to inspire students to build the future, and views them as where the future is emerging. Its university programs aim to accelerate regional development through
Mary Meeker & KPCB - Internet Trends 2013Alex Gorski
The document summarizes key internet trends from a 2013 conference on internet trends. Some of the main points covered include:
- Global internet users reached 2.4 billion in 2012 with 8% annual growth driven by emerging markets like China and India.
- Mobile internet access and usage is growing rapidly and surpassing desktop access in some countries like China. Mobile transactions and traffic are also rising significantly.
- Uploading and sharing of photos, videos, sound clips and other data from mobile devices is exploding and growing exponentially each year across many platforms.
- Social media usage continues shifting to mobile platforms with over half of Facebook users now accessing the platform via mobile.
This document summarizes key internet trends from a 2013 conference. It finds that global internet users grew 8% in 2012 to 2.4 billion users, driven largely by emerging markets like China and India. Mobile internet access is growing aggressively, surpassing 50% of total internet traffic. An increasing amount of content like photos, videos, and sound is being uploaded and shared online from mobile devices. Social media platforms are also seeing explosive growth in users and user-generated content being shared.
The latest edition of the annual Internet Trends report finds continued robust online growth. There are now 2.4 billion Internet users around the world, and the total continues to grow apace. Mobile usage is expanding rapidly, while the mobile advertising opportunity remains largely untapped. The report reviews the shifting online landscape, which has become more social and content rich, with expanded use of photos, video and audio. Looking ahead, the report finds early signs of growth for wearable computing devices, like glasses, connected wrist bands and watches - and the emergence of connected cars, drones and other new platforms.
The document summarizes key internet trends from a 2013 conference on internet trends. Some of the main points covered include:
- Global internet users reached 2.4 billion in 2012 with 8% annual growth driven by emerging markets like China and India.
- Mobile internet access and usage is growing rapidly and surpassing desktop access in some countries like China. Mobile transactions and traffic are also rising significantly.
- Uploading and sharing of photos, videos, sound clips and other data from mobile devices is exploding and growing exponentially each year across many platforms.
- Social media usage continues shifting to mobile platforms with over half of Facebook users now accessing the platform via mobile.
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5 Disruptive Technologies Changing Healthcare - October 2014John Sing
In October 2014, I was fortunate to attend a major CIO breakfast in Tampa, Florida, discussing 5 major technology areas that are disrupting and changing Healthcare. This presentation documents that discussion, includes links to all the technologies discussed, and includes the commentary (in the chart notes) of the speakers. Although it is already April 2014 as of this upload, the trends and information are still relevant, as we all wrestle with keeping up with the hyper-dynamic, technology-driven changes in all of our industries. Thank you to Mark Swanson, Distinguished Engineer, Brighthouse Networks, (Tampa, FL) and Dr. Khalid Moidu, Chief Information Medical Officer of Family Physicians Group, (Orlando, FL) for providing us these insights.
Resume john sing_2015_01_29_executive_it_architect_pre-sales_engineerJohn Sing
Some who have enjoyed my presentations, have asked if my resume is available on Slideshare.net. In response to that, here is my most recent version. Thank you!
2015 IT Roadmap_Driving_Business_Success_v31John Sing
Supplementing my other Slideshare post re: "2014 Customer Decision Journey", this October 2014 presentation for IT professionals, examines what lies beyond Cloud, Analytics, Mobile, and Social for 2015. Essentially, McKinsey, Harvard, Gartner, and others concur that in an Internet of Things hyper-connected world.... 2015 and beyond is all about using technology to bring unique value and competitive advantage on a humanly personal, customer-centric, demographic-of-one basis. This presentation examines the McKinsey / Harvard Customer Decision Journey / Digital Customer Journey model as it has evolved over the past 6 years, and delves into best practices as promoted by McKinsey, Harvard, Gartner and others, for how IT should and must respond. This is tutorial research summarizing a large quantity of McKinsey, Harvard, and Gartner papers and research presentations. I provide it in PowerPoint format so that all may benefit. In the same way as others have so generously shared their knowledge and material with me, now I am doing the same for all of you. My only request is that you always give me full accreditation as the author of this summary research and presentation. This material was first presented to the Suncoast Technology Forum, Sarasota, Florida, USA, on Tuesday October 21, 2014. John Sing, Sarasota, FL, USA October 21, 2014 www.linkedin.com/in/johnsing/
C cloud organizational_impacts_big_data_on-prem_vs_off-premise_john_singJohn Sing
Internet-scale cloud data centers and cloud technology has fundamentally changed the IT and Internet landscape. What is less apparent but absolutely essential, is the very different *IT organizational structure* that must exist in order to properly implement, manage, support, and scale a cloud IT infrastructure. This extensive chart deck, provided in full PowerPoint format, explains these significant and non-avoidable IT organizational changes required. Bottom line: it is (unfortunately) impossible for a traditional IT organization to provide a true modern autonomically managed, scalable, cost-effective cloud infrastructure
Tutorial on the McKinsey/Harvard "Customer Decision Journey" by John SingJohn Sing
Today, our customers engage whether to do business with us in fundamentally different ways, relying heavily on digital interactions, evaluating a constantly shifting array of options, and affecting our future business by their post-purchase continual engagement through social media, recommendations, and reviews. A new customer buying model is the new normal. First described in 2009, continually refined since, this is my tutorial on this proven McKinsey / Harvard paradigm. Essential info. I also have an IT-specific version of this presentation on Slideshare.net ( "Will your 2015 IT Roadmap Drive Business Success?" ) which supplements this presentation by describing the deep implications to the IT technology organization, and best practices for IT and the business to address these implications successfully. The URL for that presentation (you may cut/paste) is: http://www.slideshare.net/johnsing1/2015-it-roadmapdrivingbusinesssuccessv31
This document provides an overview of Hadoop storage perspectives from different stakeholders. The Hadoop application team prefers direct attached storage for performance reasons, as Hadoop was designed for affordable internet-scale analytics where data locality is important. However, IT operations has valid concerns about reliability, manageability, utilization, and integration with other systems when data is stored on direct attached storage instead of shared storage. There are tradeoffs to both approaches that depend on factors like the infrastructure, workload characteristics, and priorities of the organization.
To_Infinity_and_Beyond_2012_Big_Data_Internet_Scale_Update_November_2012_v2_J...John Sing
Presented at the IBM Australia / New Zealand Storage / x / SmartCloud Symposium on Tuesday Nov 13, 2012 in Auckland, New Zealand. Entertaining, fast-paced business and IT-oriented update tutorial on 2012 Internet Scale, Big Data - what it is, where it's going. You'll come away with answers to these questions: "What will happen with Big Data and Internet Scale in 2012 and beyond?" "What do I need to know about mobile technology, consumerization of IT, high performance analytics, and data center design?"
"What are innovative IT customers deploying today to provide competitive advantage?" "What does this mean for my IT infrastructure and my IT staff job skills?" Immediately useful, you'll come away with an up to date November 2012 Big Picture about modern IT technologies, workloads, innovation, and the job skills that will be demanded in 2013 and beyond. I provide this for all of our general benefit in the IT industry - we all need to and must be able to work together to successfully address the economic and sustainability challenges that all of our futures share. My only request is simply that you give me full credit as the authors of this research material.. The opinions expressed are those of myself - industry players and organizations mentioned are to illustrate the concepts described in this research. No express endorsement is intended or implied.
To_Infinity_and_Beyond_Internet_Scale_Workloads_Data_Center_Design_v6John Sing
To Infinity and Beyond - 2012 Internet Scale Workloads and Internet-scale Data Center Design: This Oct 2012 presentation given at the IBM Europe Symposium in Budapest, takes an advanced look at today's massive internet scale workloads and data centers, and dissects how/what lessons we can/should/must apply to our own IT shops. We'll examine how Internet Scale is very different than a collection of co-located servers - how these data centers respond to real-time, dynamic, fluid, competitive-advantage-leapfrog Internet business environments. These Internet-scale data center's servers, storage, software use new approaches to work as a end-to-end efficient, flexible, adaptable work flow. Using Google's definitive work on "The Data Center as A Computer - Intro to Warehouse-scale Machine" as a foundation (superb open license material by Google 2009), come discover the design, deployment, and lessons that we all must learn from these giants of the Internet. Why / How do they do what they do? Where are they being built? How are they powered and cooled? What are deployment form factors, design philosophies, power/cooling/packaging principles and trends, including modular portable container data center architecture? You'll come away knowing what you should apply to your own individual IT datacenter infrastructure in 2012 and beyond. My only request when using / referencing this material, is that you give full credit to me and IBM as the original authors of this research. That having been said, please spread the good word with good business judgement - we all benefit in today's modern global world.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A