Over the past decade, cloud computing has acted as a disrupter in several areas of IT business. Soon, it will overhaul one area of technology that has been in rapid growth itself: Data Analytics. Nicky will focus on the recent study of IBM Institute of Business Value which shows that capabilities that enable an organization to consume data faster – to move from raw data to insight-driven actions – are now the key differentiator to creating value using data and analytics. He will also talk about the requirements for the underlying infrastructure as critical component allowing real-time crunching and analysis of high volume of data. Based on real cases like retailers and energy companies, we will look at five predictions in five years, based on:
Analytics, Big data, and Cloud coming together will energize the Speed Advantage.
Big Data Expo 2015 - Cisco Connected AnalyticsBigDataExpo
The presentation will describe the Internet of Everything technology transition, where people, process, data and things are coming together to unleash 14,4 Trillion dollars global economic value.
The question is how do we capture this value by connecting the unconnected, while carving out actionable, replicable insights from Big Data ? The speech will include practical cases on how enterprises – including Cisco – and public sector agencies are able today to unleash economic, social and environmental value through data-intensive, new IT consumption models
Big Data Expo 2015 - Microsoft Transform you data into intelligent actionBigDataExpo
Succesvolle big data klanten rapporteren een +47% hogere retailomzet per connected gebruiker, verhogen het slagingspercentage van leerlingen van 55 naar 78%, voorspellen met 92% nauwkeurigheid de uitslag van steekproefkeuringen en besparen 300 k$ per dag als gevolg van geoptimaliseerd onderhoud. Wat kenmerkt deze successen? Hoe kunt u uw data in intelligente aktie omzetten?
Big Data Expo 2015 - IBM Outside the comfort zoneBigDataExpo
When it comes to high tech, we tend to wear blinders. We only want to see what's right in front of us. At times, we look forward but we rarely look around us to see how other industries are succeeding. This is especially true with organizations who want to look beyond business intelligence and reveal answers you never thought to ask. For example, what would demand forecasting for a Chief Marketing Officer in Media & Entertainment mean to a Chief Data Officer in banking? Or what would Customer Operations Transformation in Energy & Utilities mean to a Chief Customer Officer at a major retail operation? In this interactive and energetic session, we'll explore valuable cross-industry use cases to help get you "outside your comfort zone" and take a completely different look at how applications of advanced and predictive analytics on big data - or any data - can help you to act on real-time insights to fundamentally transform your business.
This presentation, by big data guru Bernard Marr, outlines in simple terms what Big Data is and how it is used today. It covers the 5 V's of Big Data as well as a number of high value use cases.
Big Data: Industry trends and key playersCM Research
Big data is data that cannot be analysed on a traditional database. Companies that develop the database platforms to analyse big data will make a fortune. This report looks at industry trends and the key players in this emerging industry.
Big Data Expo 2015 - Cisco Connected AnalyticsBigDataExpo
The presentation will describe the Internet of Everything technology transition, where people, process, data and things are coming together to unleash 14,4 Trillion dollars global economic value.
The question is how do we capture this value by connecting the unconnected, while carving out actionable, replicable insights from Big Data ? The speech will include practical cases on how enterprises – including Cisco – and public sector agencies are able today to unleash economic, social and environmental value through data-intensive, new IT consumption models
Big Data Expo 2015 - Microsoft Transform you data into intelligent actionBigDataExpo
Succesvolle big data klanten rapporteren een +47% hogere retailomzet per connected gebruiker, verhogen het slagingspercentage van leerlingen van 55 naar 78%, voorspellen met 92% nauwkeurigheid de uitslag van steekproefkeuringen en besparen 300 k$ per dag als gevolg van geoptimaliseerd onderhoud. Wat kenmerkt deze successen? Hoe kunt u uw data in intelligente aktie omzetten?
Big Data Expo 2015 - IBM Outside the comfort zoneBigDataExpo
When it comes to high tech, we tend to wear blinders. We only want to see what's right in front of us. At times, we look forward but we rarely look around us to see how other industries are succeeding. This is especially true with organizations who want to look beyond business intelligence and reveal answers you never thought to ask. For example, what would demand forecasting for a Chief Marketing Officer in Media & Entertainment mean to a Chief Data Officer in banking? Or what would Customer Operations Transformation in Energy & Utilities mean to a Chief Customer Officer at a major retail operation? In this interactive and energetic session, we'll explore valuable cross-industry use cases to help get you "outside your comfort zone" and take a completely different look at how applications of advanced and predictive analytics on big data - or any data - can help you to act on real-time insights to fundamentally transform your business.
This presentation, by big data guru Bernard Marr, outlines in simple terms what Big Data is and how it is used today. It covers the 5 V's of Big Data as well as a number of high value use cases.
Big Data: Industry trends and key playersCM Research
Big data is data that cannot be analysed on a traditional database. Companies that develop the database platforms to analyse big data will make a fortune. This report looks at industry trends and the key players in this emerging industry.
This report is based on a series of interviews across the breadth of the MoD to probe the ability of the British military to cope with a growing data deluge, and identify potential applications and hurdles to their implementation.
Short introduction to Big Data Analytics, the Internet of Things, and their s...Andrei Khurshudov
Invited talk at the 26th ASME annual conference on information and storage and processing systems (ISPS 2017) held at Hilton San Francisco District, San Francisco, California, USA from August 29–30, 2017.
From a session at OMEP's Manufacturing the Future Summit, January 14, 2014. By: Katie Moore Global Industry Manager – Food & Beverage GE Intelligent Platforms
IoT Meets Big Data: The Opportunities and Challenges by Syed Hoda of ParStreamgogo6
Download our special report, IoT Tech for the Manager: http://bit.ly/report1-slideshare
IoT Meets Big Data: The Opportunities and Challenges as presented at the IoT Inc Business' Eighth Meetup. See: http://www.iot-inc.com/iot-meets-big-data-the-opportunities-and-challenges/
In our eighth Meetup we have Syed Hoda, Chief Marketing Officer of ParStream presenting “IoT Meets Big Data: The Opportunities and Challenges”. Come meet other business leaders in the IoT ecosystem and discuss the business issues you face in the Internet of Things.
Presentation Abstract
The Internet of Things (IoT) and Big Data have each made press headlines and continue to be board-level priorities. The intersection of IoT and Big Data is a fascinating area of innovation with tremendous scope for business impact. From industrial sensors to vehicles to health monitors, a huge variety of devices connects to the Internet and share information. At the same time, the cost to store data has dropped dramatically while capabilities for analysis have made huge leaps forward. How can analytics drive business benefits from IoT projects? What are the challenges in storing and analyzing huge amounts of real-world information? How can companies generate more value from their data? We will address these questions and also share our perspectives on innovative technologies enabling new IoT use cases.
4 Applications of Digital Twin in HealthcareTyrone Systems
In this space, we’ve been discussing the possibilities of using IoT applications to solve costs and revenue leakage for healthcare providers, and to streamline clerical tasks that can often reduce facetime healthcare practitioners have with their patients.
The power of IoT is truly realized when data from the real-world is securely transformed to the digital realm—this is commonly referred to as creating “digital twins.” By “instrumenting” the real-world to provide near real-time data, and by applying the powerful tools and methods of the analytical and artificial intelligence fields, digital twins can speed the creation of new and revolutionary healthcare IoT applications.
From a session at OMEP's Manufacturing the Future Summit, January 14, 2014. By: Douglas K. Woods, President of AMT (The Association for Manufacturing Technology)
Gartner Top 10 Strategy Technology Trends 2018Den Reymer
Gartner Top 10 Strategy Technology Trends 2018
1. AI Foundation
2. Intelligent Apps and Analytics
3. Intelligent Things
4. Digital Twin
5. Cloud to the Edge
6. Conversational Platforms
7. Immersive Experience
8. Blockchain
9. Event Driven Model
10. Continuous Adaptive Risk and Trust
Digital Twin Market by Type, Application, Technology and Region: Global Indus...ReportCruxMarketRese
Digital Twin Market is estimated to grow from USD 3.67 Billion in 2019 to reach USD 75.42 Billion by 2027, at a CAGR of 45.9% from 2020-2027.
Read More Our Analysis: https://bit.ly/3sVWnyk
What is data-driven government for public safety?IBM Analytics
How can governments become data-driven and capitalize on the ton of valuable insight hidden in the flood of data we generate every day? Where has this already been implemented, and what are the effects? Get the big picture on public safety and incident and emergency management at http://ibm.co/saferplanet
IoT - Data Management Trends, Best Practices, & Use CasesCloudera, Inc.
With billions of new devices, IoT is transforming how businesses capitalize on data. Data driven organizations are using IoT as as a means to improve their customer experience, drive operational efficiencies, and enable new business models. However, without the right data management strategy and tools, investments in IoT can yield limited results.
Join Cloudera and 451 Research for a joint webinar to learn more about some of the data management best practices and how organizations are using advanced analytics and machine learning to enable IoT use cases.
Learning Objective: Discuss the upcoming trends of information technology
This seminar looks at the forefront of technology trends in the community for technology leaders. As a technology professional, staying on top of trends is crucial. Below is a list of technology topics that this seminar will cover.
1. Emergence of the Mobile Cloud
Mobile distributed computing paradigm will lead to explosion of new services.
2. From Internet of Things to Web of Things
Need connectivity, internetworking to link physical and digital.
3. From Big Data to Extreme Data
Simpler analytics tools needed to leverage the data deluge.
4. The Revolution Will Be 3D
New tools; techniques bring 3D printing power to masses.
5. Supporting New Learning Styles
Online courses demand seamless, ubiquitous approach.
6. Next-generation mobile networks
Mobile infrastructure must catch up with user needs.
7. Balancing Identity and Privacy
Growing risks and concerns about social networks.
8. Smart and Connected Healthcare
Intelligent systems, assistive devices will improve health.
9. E-Government
Interoperability a big challenge to delivering information.
10. Scientific Cloud Computing
Key to solving grand challenges, pursuing breakthroughs.
At the end of this seminar, participants will be able to:
a. Explore the multiple uses of the internet.
b. Identify ways that technology can make our society more productive.
c. Examine what we give up when we advance technologically.
This report is based on a series of interviews across the breadth of the MoD to probe the ability of the British military to cope with a growing data deluge, and identify potential applications and hurdles to their implementation.
Short introduction to Big Data Analytics, the Internet of Things, and their s...Andrei Khurshudov
Invited talk at the 26th ASME annual conference on information and storage and processing systems (ISPS 2017) held at Hilton San Francisco District, San Francisco, California, USA from August 29–30, 2017.
From a session at OMEP's Manufacturing the Future Summit, January 14, 2014. By: Katie Moore Global Industry Manager – Food & Beverage GE Intelligent Platforms
IoT Meets Big Data: The Opportunities and Challenges by Syed Hoda of ParStreamgogo6
Download our special report, IoT Tech for the Manager: http://bit.ly/report1-slideshare
IoT Meets Big Data: The Opportunities and Challenges as presented at the IoT Inc Business' Eighth Meetup. See: http://www.iot-inc.com/iot-meets-big-data-the-opportunities-and-challenges/
In our eighth Meetup we have Syed Hoda, Chief Marketing Officer of ParStream presenting “IoT Meets Big Data: The Opportunities and Challenges”. Come meet other business leaders in the IoT ecosystem and discuss the business issues you face in the Internet of Things.
Presentation Abstract
The Internet of Things (IoT) and Big Data have each made press headlines and continue to be board-level priorities. The intersection of IoT and Big Data is a fascinating area of innovation with tremendous scope for business impact. From industrial sensors to vehicles to health monitors, a huge variety of devices connects to the Internet and share information. At the same time, the cost to store data has dropped dramatically while capabilities for analysis have made huge leaps forward. How can analytics drive business benefits from IoT projects? What are the challenges in storing and analyzing huge amounts of real-world information? How can companies generate more value from their data? We will address these questions and also share our perspectives on innovative technologies enabling new IoT use cases.
4 Applications of Digital Twin in HealthcareTyrone Systems
In this space, we’ve been discussing the possibilities of using IoT applications to solve costs and revenue leakage for healthcare providers, and to streamline clerical tasks that can often reduce facetime healthcare practitioners have with their patients.
The power of IoT is truly realized when data from the real-world is securely transformed to the digital realm—this is commonly referred to as creating “digital twins.” By “instrumenting” the real-world to provide near real-time data, and by applying the powerful tools and methods of the analytical and artificial intelligence fields, digital twins can speed the creation of new and revolutionary healthcare IoT applications.
From a session at OMEP's Manufacturing the Future Summit, January 14, 2014. By: Douglas K. Woods, President of AMT (The Association for Manufacturing Technology)
Gartner Top 10 Strategy Technology Trends 2018Den Reymer
Gartner Top 10 Strategy Technology Trends 2018
1. AI Foundation
2. Intelligent Apps and Analytics
3. Intelligent Things
4. Digital Twin
5. Cloud to the Edge
6. Conversational Platforms
7. Immersive Experience
8. Blockchain
9. Event Driven Model
10. Continuous Adaptive Risk and Trust
Digital Twin Market by Type, Application, Technology and Region: Global Indus...ReportCruxMarketRese
Digital Twin Market is estimated to grow from USD 3.67 Billion in 2019 to reach USD 75.42 Billion by 2027, at a CAGR of 45.9% from 2020-2027.
Read More Our Analysis: https://bit.ly/3sVWnyk
What is data-driven government for public safety?IBM Analytics
How can governments become data-driven and capitalize on the ton of valuable insight hidden in the flood of data we generate every day? Where has this already been implemented, and what are the effects? Get the big picture on public safety and incident and emergency management at http://ibm.co/saferplanet
IoT - Data Management Trends, Best Practices, & Use CasesCloudera, Inc.
With billions of new devices, IoT is transforming how businesses capitalize on data. Data driven organizations are using IoT as as a means to improve their customer experience, drive operational efficiencies, and enable new business models. However, without the right data management strategy and tools, investments in IoT can yield limited results.
Join Cloudera and 451 Research for a joint webinar to learn more about some of the data management best practices and how organizations are using advanced analytics and machine learning to enable IoT use cases.
Learning Objective: Discuss the upcoming trends of information technology
This seminar looks at the forefront of technology trends in the community for technology leaders. As a technology professional, staying on top of trends is crucial. Below is a list of technology topics that this seminar will cover.
1. Emergence of the Mobile Cloud
Mobile distributed computing paradigm will lead to explosion of new services.
2. From Internet of Things to Web of Things
Need connectivity, internetworking to link physical and digital.
3. From Big Data to Extreme Data
Simpler analytics tools needed to leverage the data deluge.
4. The Revolution Will Be 3D
New tools; techniques bring 3D printing power to masses.
5. Supporting New Learning Styles
Online courses demand seamless, ubiquitous approach.
6. Next-generation mobile networks
Mobile infrastructure must catch up with user needs.
7. Balancing Identity and Privacy
Growing risks and concerns about social networks.
8. Smart and Connected Healthcare
Intelligent systems, assistive devices will improve health.
9. E-Government
Interoperability a big challenge to delivering information.
10. Scientific Cloud Computing
Key to solving grand challenges, pursuing breakthroughs.
At the end of this seminar, participants will be able to:
a. Explore the multiple uses of the internet.
b. Identify ways that technology can make our society more productive.
c. Examine what we give up when we advance technologically.
Forecast to contribute £216 billion to the UK economy via business creation, efficiency and innovation, and generate 360,000 new jobs by 2020, big data is a key area for recruiters.
In this QuickView:
- Big data in numbers
- Top 10 industries hiring big data professionals
- Top 10 qualifications sought by hirers
- Top 10 database and BI skills sought by hirers
- Getting started in big data: popular big data techniques and vendors
Big data is a phenomenon brought about by rapid data growth, complex, new, and changing data types, and parallel technology advancements; it brings huge possibilities. By optimizing these enormous amounts of structured and unstructured data, CSPs are in a unique position to capture these opportunities and create new revenue streams.
Implementation of application for huge data file transferijwmn
Nowadays big data transfers make people’s life difficult. During the big data transfer, people waste so
much time. Big data pool grows everyday by sharing data. People prefer to keep their backups at the cloud
systems rather than their computers. Furthermore considering the safety of cloud systems, people prefer to
keep their data at the cloud systems instead of their computers. When backups getting too much size, their
data transfer becomes nearly impossible. It is obligated to transfer data with various algorithms for moving
data from one place to another. These algorithms constituted for transferring data faster and safer. In this
Project, an application has been developed to transfer of the huge files. Test results show its efficiency and
success.
The objective of this module is to provide an overview of the basic information on big data.
Upon completion of this module you will:
-Comprehend the emerging role of big data
-Understand the key terms regarding big and smart data
- Know how big data can be turned into smart data
- Be able to apply the key terms regarding big data
Duration of the module: approximately 1 – 2 hours
Process oriented architecture for digital transformation 2015Vinay Mummigatti
How the digitally savvy enterprises need to transform their business processes - A paper on architecture and patterns for business and technology audience.
Centric - Jaap huisprijzen, GTST, The Bold, IKEA en IENS. Zomaar wat toepassi...BigDataExpo
Tijdens deze presentatie wordt duidelijk hoe je machine learning kunt toepassen in het dagelijks leven. Denk aan het kopen van een huis, het kijken van Goede Tijden Slechte Tijden, shoppen bij IKEA en het bezoeken van restaurants.
In this session we'll dive into the journey that Google chooses to take in order focus on AI: what was the mindset, what were the challenges and what is the direction for the future.
Pacmed - Machine Learning in health care: opportunities and challanges in pra...BigDataExpo
The potential of personalized medicine based on machine learning is huge, but big challenges must be overcome to implement this technology in practice. Hidde will discuss both sides of the story, including a case study on the intensive care.
De Toekomst Verkenner is een ‘award winning’ innovatie van PGGM, die in een rap temp doorontwikkeling naar een platform maakt.
In zijn presentatie zal Mladen Sančanin vertellen hoe PGGM real time data en algoritmes heeft ingezet om dit platform te bouwen en hoe PGGM innovaties vanuit haar ‘Big Data Lab’ ondersteunt?
In een half uur worden veel ervaringen gedeeld over het opzetten van innovatieprojecten gebruik makend van data en het inrichten van data lab in een corporate omgeving.
Universiteit Utrecht & gghdc - Wat zijn de gezondheidseffecten van omgeving e...BigDataExpo
Het GGHDC onderzoekt wat de gezondheidseffecten zijn van omgeving en leefstijl in relatie tot het dagelijks leven van mensen. Het onderzoekscentrum is opgebouwd rond een gedeelde data- infrastructuur van de Universiteit Utrecht en het Universitair Medisch Centrum Utrecht (UMCU).
Rob van Kranenburg - Kunnen we ons een sociaal krediet systeem zoals in het o...BigDataExpo
IoT, Big Data, AI creëren een nieuwe situatie met betrekking tot het nemen van beslissingen door beleidsmakers. Toch verschuift er weinig in ons democratisch bestel, terwijl onze data in handen zijn van GAFA, China en andere nieuwe vormen van bestuur die nog ontstaan in de digitale transitie. Wij, in Europa, staan stil.
OrangeNXT - High accuracy mapping from videos for efficient fiber optic cable...BigDataExpo
Construction companies such as BAM Infra Telecom rely on accurate, up-to-date maps. Google Maps isn’t enough, but doing on-site surveys is expensive and time-consuming. However, driving through and recording 360° video from a car is cheap and easy. Using machine learning, we turn videos into highly accurate maps.
Dynniq & GoDataDriven - Shaping the future of traffic with IoT and AIBigDataExpo
Dynniq is a high-tech, innovative company offering smart mobility solutions and services internationally. We will present advanced IoT use cases Dynniq is working on, and share how GoDataDriven helps set up an AI capability. We will share our learnings, and show what makes data science in the mobility domain unique.
Teleperformance - Smart personalized service door het gebruik van Data Science BigDataExpo
Bij Teleperformance helpen we klanten waarde toe te voegen aan het klanttraject. We gebruiken Data Science voor onze Omnichannel-klantinteracties om de behoeften van de klant te voorspellen, zodat we het beste antwoord kunnen geven.
FunXtion - Interactive Digital Fitness with Data AnalyticsBigDataExpo
Digital is the new Personal. FunXtion Interactive is een interactieve trainingservaring voor zowel binnen als buiten de sportschool. FunXtion is revolutionair in de fitness branche en volledig data driven, by design. FunXtion laat zien hoe zij real-time data gebruiken voor ondersteuning van beslissingen, proces automatisering, personalisatie en product innovatie.
fashionTrade - Vroeger noemde we dat Big DataBigDataExpo
Big Data was de verzamelnaam voor alles wat je nog niet deed, maar al wel door Google of Amazon was uitgevonden. Inmiddels doen we al die dingen wel dus heet productaanbevelingen weer gewoon productaanbevelingen, fraudebestrijding weer fraudebestrijding, en spraakherkenning nog steeds spraakherkenning; geen Big Data. Geeft niet, want nu is er AI. Deze keynote legt uit of dat anders is, en waarom.
BigData Republic - Industrializing data science: a view from the trenchesBigDataExpo
What does it take to bring machine learning algorithms to production and start delivering business value? How can teams of data scientists and engineers effectively collaborate on a single product, integrate with existing IT systems and keep business stakeholders involved? Using real-life examples, we discuss the challenges and best practices.
Bicos - Hear how a top sportswear company produced cutting-edge data infrastr...BigDataExpo
Industry expert Dave Vanhoudt will set out his vision for the future of data infrastructure. Dave will highlight the key role automation must play in any data infrastructure strategy today, drawing on his current role with Medtronic, and past experiences at AB Inbev, Baxter, BMW and Nike.
Endrse - Next level online samenwerkingen tussen personalities en merken met ...BigDataExpo
Digitaal is vrijwel alles meetbaar. Maar het is vaak een uitdaging om de impact van samenwerkingen tussen influencers (topsporters) en bedrijven te analyseren. Start-up Endrse gebruikt AI om socialmediacontent te analyseren om content van influencers en bedrijven beter op elkaar te laten aansluiten. Zo maak je impact bij het publiek!
Bovag - Refine-IT - Proces optimalisatie in de automotive sectorBigDataExpo
De ontwikkelingen in de automotive sector gaan snel: elektrisch rijdende auto’s, de snelle groei van private lease, over the air connectiviteit, services on the demand en advanced driver assistance is zo maar een greep uit deze ontwikkelingen. Voorbeelden van (big) data ontwikkelingen die van grote invloed zijn op de automotive retail. De transitie naar een nieuw verdienmodel daagt uit tot samenwerken en datagedreven procesoptimalisatie.
Wilco Schellevis, directeur van Refine-IT en Renate Weggemans, manager strategie en beleid, bij BOVAG Autodealers, nemen u mee in de case Dely-App. Een mooi staaltje samenwerken en datagedreven procesoptimalisatie in de automotive retail; gevangen in één app.
Schiphol - Optimale doorstroom van passagiers op Schiphol dankzij slimme data...BigDataExpo
Schiphol is Europa’s best connected airport en verwerkt op piekdagen tot 235.000 passagiers. Om deze soepel door de processen te leiden is een betrouwbare prognose van de drukte noodzakelijk. Schiphol laat zien hoe zij datatoepassingen ontwikkelt om het aantal reizigers zo accuraat mogelijk te voorspellen en hiermee processen in te richten.
Veco - Big Data in de Supply Chain: Hoe Process Mining kan helpen kosten te r...BigDataExpo
Veco is marktleider op het gebied van het ontwerpen en vervaardigen van precisie delen middels electroformeren. In deze presentatie zal uitgeleverd worden hoe Veco succesvol Process Mining heeft ingezet in de productie om doorlooptijd te reduceren en new business te creëren. Tevens wordt uitgelegd wat Process Mining is.
Rabobank - There is something about DataBigDataExpo
Technologische mogelijkheden en GDPR, een continue clash? En hoe staat het met de het ethisch (her)gebruik van data? Leer in deze sessie van Rabobank’s Big Data journey en krijg inzicht in: organisatorische keuzes, data Lab technologie visie & data strategie, als enabler en accelerator van digitale innovatie en transformatie.
VU Amsterdam - Big data en datagedreven waardecreatie: valt er nog iets te ki...BigDataExpo
In zijn presentatie gaat Frans Feldberg in op het ‘Waarom, Wat, en Hoe’ van big data en datagedreven business model innovation. Hoe is de wereld, als het om data gaat, de laatste jaren veranderd? Waarom zijn big data, business analytics en kunstmatige intelligentie belangrijke digitale innovaties die hoog op menig managementagenda staat en waarom investeren organisaties aanzienlijk in big data en data science? Hoe kunnen organisaties waarde met data creëren door zowel het verbeteren van het bestaande business model als door nieuwe data-gedreven business modellen te ontwikkelen. Dit zijn vragen die in zijn presentatie beantwoord zullen worden.
Booking.com - Data science and experimentation at Booking.com: a data-driven ...BigDataExpo
At Booking.com we have experienced what a data driven organisation means for creating business impact. And what looks it like, when experimentation is part of your company culture.
During this session we will share our experiences and learnings on how data science and experimentation go hand in go.
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
1. 5 predictions in 5 years:
what the big data environment
will look like…
Nicky Hekster
Technical Leader Healthcare & Lifesciences
IBM
n.s.hekster@nl.ibm.com
2. IBM Research Global Technology Outlook (GTO)
Every year, IBM’s top researchers identify
significant technology trends and disruptive
technologies that hold the greatest potential
to transform industries, businesses and
society over the next 3-to-10 years.
3. The IBM GTO has continuously foreseen major IT developments
e-business
Cloud
Workload Optimized
Systems
Mobility in Enterprise
Computing
Big Data
… and many others
High Performance
Computing
4. The recent evolution of the GTO: It’s all about Data
2012 2013 2014
Volume
Velocity
Variety
Veracity
Confluence of
Social, Mobile, Cloud,
Big Data, and Analytics
Systems of Insight
Data Transforming
Industries
Mobile Social
Cloud
Internet of Things
5. The recent evolution of the GTO: it’s all about Data
2012 2013 2014 2015
Volume
Velocity
Variety
Veracity
Confluence of
Social, Mobile, Cloud,
Big Data, and Analytics
Systems of Insight
Data Transforming
Industries
Data will disrupt
entire industries
Mobile Social
Cloud
Internet of Things
Data
6. Doing Predictions….
“I think there is a world market
for maybe five computers.”
Thomas Watson, chairman of IBM, 1943
“Computers in the future may weigh no more
than 1.5 tons. ” Popular Mechanics, 1949
“There is no reason anyone would want a
computer in their home. ”Ken Olsen, founder of DEC, 1977
“640K ought to be enough for
anybody. ” Bill Gates, 1981
“Prediction is difficult, especially about the
future” Yogi Berra
7. Approach: Data is growing exponentially and demands
new approaches (technology and strategy)
We are here
44 zettabytes
unstructured data
2010 2020
structured data
9. Un-curated
Diverse sources, resolutions, gaps, data types,
update frequencies and uncertainty levels
Curated
Creates an integrated up-to-date view of layered
spatio-temporal data with industry-specific
analytics
Roads Soil
Weather Land
Analyzing open spatio-temporal data at scale illustrates
the power of curation
11. Source: "The Relative Contribution of Multiple Determinants to Health Outcomes", Lauren McGover et al., Health Affairs, 33, no.2 (2014)
60%
30%
10%
Clinical data
Genomics data
Exogenous data
1100 TB
Generated per lifetime
6 TB
Per lifetime
0.4 TB
Per lifetime
Rapid growth of exogenous data is transforming healthcare
Influence on outcomes
13. 2.5 T
Transactions
Consumer volume
0.3 T
Transactions
Government &
Business volume
85% cash
15% non-cash
10% cash
90% non-cash
Cash is the most used retail payment
instrument*
* Source: http://www.frbsf.org/cash/publications/fed-notes/2014/april/cash-consumer-spending-payment-diarySource: Master Card Advisors, 2013 report
New payment insights through digitization of cash
IBM’s annual Global Technology Outlook (GTO) is an authoritative analysis of the future of information technology and its implications for business and society.
Over the past 25 years, the GTO has been carried out annually for the benefit of IBM clients to help inform their IT investments and long-term strategic planning.
It draws insights and contributions from IBM Research’s nearly 3,000 leading scientists, engineers, mathematicians and subject matter experts who sit in 12 labs on six continents.
Forecasting is always risky business, but over the past 25 years the GTO has proven to be remarkably accurate in anticipating cycles of technological progress and change. It continues to inform and influence the roughly $6B investment in research and development that IBM makes annually, as well as our acquisition strategy.
The breadth of IBM’s expertise across systems, software, services, semiconductors and a wide swath of industries gives the company a perspective on trends unmatched by other companies.
For example, in the early days of the Internet, when businesses were debating whether Netscape or Internet Explorer would win the browser wars, IBM foresaw that the Internet was about business – not browsers.
In 2004, IBM accurately predicted the emergence of petaflop-scale computers. (A petaflop is 1 quadrillion floating point operations per second.) IBM achieved that milestone four years later. Today, there are more than 50 computers operating at that speed.
More recently, the GTO foresaw the advent of hybrid clouds – combining the accessibility of public clouds with the data security of private clouds.
The focus on one topic over a four year period is unprecedented in GTO history. But the implications and impact of the changing nature of data – and how we extract value from it – is so important that it has been a key GTO topic since 2012.
In 2012, we looked at the four Vs of data. Everyone was talking about volume (big data). But IBM also did a deep dive into the implications of the speed at which data could move (velocity), and the different types (or variety) of data, both structured (databases) and unstructured (video, tweets, sensor data, etc.). We also looked at the implications that not all data is accurate or reliable (veracity) and explored how to analyze and gain value from data whose veracity is in doubt.
The next year, IBM examined the confluence of five trends, which individually were well known, but whose interactions had not been previously examined. This confluence is now widely recognized as the key driver of Systems of Engagement.
In 2014, the GTO took on Systems of Insight as we recognized the greatest value for enterprises occur at the intersection of systems of record (back office applications) and systems of engagement (front office applications). To more rapidly extract this value, and build Systems of Insight, three components are needed:
Engine to compute the insight
Cloud to deliver the insight, and most importantly
Data
The current 2015 GTO is dedicated entirely to this last element: data.
We brought a lot of earlier themes together to look at how data is driving new business models and transforming not just IT but entire industries with digitization of new data.
We will also look at a growing class of data – data at the edge – that is likely to define an entirely new IT paradigm.
10/2/2015
Of course, data gets even more interesting – and insights more powerful – when it gets curated and analyzed in context of other data.
Data curation means integrating data, enriching the data, aligning, reclassifying, projecting etc.
Right now, to be totally transparent, curation is a huge gating factor. A study of many analytics engagements shows that 70% of the time and cost invested is spent simply finding, organizing, aligning and classifying data. And often the data sets could drive value across multiple teams, enterprises and industries. But today, the exercise of curation is repeated by each team, enterprise, industry and must be done before the analysis which creates competitive differentiation can even begin.
Open spatio-temporal data has the broadest cross-industry value and is currently the least curated. But it holds tremendous potential to connect and extract insights that offer great context and deeper understanding of what’s happening.
IBM is building the expertise to organize the world’s open spatio-temporal data and developing a unified, cloud-based, searchable, big data store of pre-processed physical data with industry-specific analytics.
This will enable complex query capabilities across layers and data sets. For example, “Find all areas with a specific soil type, surface temperatures between 35 and 65, and access to major transportation hubs…”
That’s actually a very simplistic way of applying this concept, but hopefully it suggests ideas for your business.
Let me give you two further examples of how the emergence of new forms of data are beginning to transform industries – and suggest that we later discuss the implications for your industry.
In a lifetime, an average human (in the developed world) will generate 0.4 terabytes of clinical data (the type of stuff in our electronic health records), 6 terabytes of genomic data (the stuff we’re born with)… and 1,100 terabytes of exogenous data!
You may be asking “What is exogenous data?” That’s the data created by our behavior, or related to our socio-economic strata, or the environment that we live in, etc.
So little of this information was available to us before, but now is being generated by the rapid adoption of smartphones, fitness monitors and wearables, and patient-controlled medical devices. This development provides a significant opportunity to capture and use relevant, factual patient-generated information to yield improved self-managed outcomes.
Why is that so important? Believe it or not, that exogenous data holds the key to delivering healthy outcomes. Studies show that exogenous factors determine 60% of a person’s health outcome – not genetics, not clinical data. That’s big!
We’re seeing the emergence of a new era of “personalized medicine” as a result. Personalized medicine is broadly about customization of healthcare.
To date, the use of genetic information has showed incredible promise in realizing personalized medicine. Using exogenous data, we can move away from generic population-based analytics to cohorts of one. This is a huge untapped opportunity for healthcare providers.
OV chip kan alleen maar digitaal, zo niet dan betaal je meer voor OV.
Impulsaankopen of giften zijn hoger als het digitaal kan gebeuren (collectes).
Or consider financial transactions.
Despite all of the advances in credit cards and electronic payments, the vast majority of the world’s retail transactions – 85% – are still done in cash. Currently there’s no easy way to develop insights from these transactions.
But imagine what happens when we accelerate the digitization of those payments!
In emerging markets especially, governments are increasingly looking to transition from physical cash to digital cash. In these markets, government deregulation allows banks to acquire mobile operator licenses and offer mobile money services.
In other instances mobile operators and retailers are being allowed to provide payment services.
In Kenya, we worked with the country’s largest bank on three months of microloan data that included over four million loan requests. We found that if the bank would take the system into production, they could increase revenue by 26%, reduce defaults by 40%, and double the profit on every microloan.
Not surprisingly, they are very excited with these results and are planning to move the solution into production this year.
http://www.research
Next goal: integrating 4,096 chips in a single rack with 4 billion neurons and 1 trillion synapses while consuming ~4kW of power
What is a cognitive chip? The latest SyNAPSE chip, introduced on August 7, 2014, has the potential to transform mobility by spurring innovation around an entirely new class of applications with sensory capabilities at incredibly low power levels. This is enabled by an revolutionary new technology design inspired by the human brain. IBM built a new chip with a brain-inspired computer architecture powered by an unprecedented 1 million neurons and 256 million synapses. It is the largest chip IBM has ever built at 5.4 billion transistors, and has an on-chip network of 4,096 neurosynaptic cores. Yet, it only consumes 70mW during real-time operation — orders of magnitude less energy than traditional chips. As part of a complete cognitive hardware and software ecosystem, this technology opens new computing frontiers for distributed sensor and supercomputing applications..ibm.com/cognitive-computing/neurosynaptic-chips.shtml#fbid=8zqqrQQPQzL
http://www.scientificamerican.com/article/neuroelectronics-make-smarter-computer-chips/
Menselijke hersenen bevatten vele tientallen miljarden neuronen (86 miljard).
http://www.digitaltrends.com/computing/ibms-unveils-the-brain-inspired-truenorth-cognitive-computer/#ixzz3jcefOdIc