This document discusses Alliander's use of big data analytics to support its smart grid. It outlines some of the challenges Alliander faces with an aging grid and energy transition. Alliander is using big data analytics to gain better insight into grid behavior at lower voltage levels and make more information-based and customer-focused investments. Examples shown include asset health analytics to identify risky joints and a sensor system to detect potential cable defects in real-time. The document also discusses Alliander's analytics ecosystem and portfolio approach to innovating, validating, and implementing analytics, as well as the new skills that will be required for continued development.
Electrical distributors have been collecting data on product sales and customer orders for years now. But, technology now allows for the collection, synthesis and analysis of information like never before. Under the guise of Big Data, many industries are planning and even projecting outcomes. Most distributors are only utilizing ERP data, but at what cost? This white paper walks through how members of the electrical distribution channel can plan and execute big data projects to maximize not only sales, but also stock, logistics and customer satisfaction.
This presentation given by Think Big's senior data scientist Eliano Marques at Digital Natives conference in Berlin, Germany (November 2015), details how to go from experimentation to productionization for a predictive maintenance use case.
Presentation: Big Data – From Strategy to Production - Mario Meir-Huber, Big Data Leader Eastern Europe, Teradata GmbH (AT), at the European Data Economy Workshop taking place back to back to SEMANTiCS2015 on 15 September 2015 in Vienna
Industrializing data science: a view from the trenchesAlexander Backus
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.
5 Key Areas in the Construction Industry, where Big Data Solutions Play a Piv...SPEC INDIA
The construction industry is one of the most complex, wide spread and happening industry today. With Big Data solutions paving their way into each and every domain, why would this fraternity not make the most of it? Yes, there is an increasing usage of Big Data Analytics being observed in this industry and there are visible benefits being observed. Have a sneak peek at how this robust technology would facilitate the best of profitability and productivity in the construction industry?
Read more At: http://blog.spec-india.com/big-data-solutions-providing-powerful-thrust-construction-industry/
A Seminar Presentation on Big Data for Students.
Big data refers to a process that is used when traditional data mining and handling techniques cannot uncover the insights and meaning of the underlying data. Data that is unstructured or time sensitive or simply very large cannot be processed by relational database engines. This type of data requires a different processing approach called big data, which uses massive parallelism on readily-available hardware.
BIG Data & Hadoop Applications in FinanceSkillspeed
Explore the applications of BIG Data & Hadoop in Finance via Skillspeed.
BIG Data & Hadoop in Finance is a key differentiator, especially in terms of generating greater investment insights. They are used by companies & professionals for risk assessment, fraud detection & forecasting trends in financial markets.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
MIT Enterprise Forum of Cambridge Connected Things 2017 panel discussion on "IoT Analytics: Using Analytics to Generate High Value from IoT in the Real World"
The following is a smart grid security presentation I developed for my fellow task force members on NERC's 2010 Smart Grid Task Force. The charts included are very helpful in understanding at a glance, where the risks and threats to smart grid reliability and security lie. In the end though it is the 'human factor' that is most important to keep in mind in risk mitigation.
Electrical distributors have been collecting data on product sales and customer orders for years now. But, technology now allows for the collection, synthesis and analysis of information like never before. Under the guise of Big Data, many industries are planning and even projecting outcomes. Most distributors are only utilizing ERP data, but at what cost? This white paper walks through how members of the electrical distribution channel can plan and execute big data projects to maximize not only sales, but also stock, logistics and customer satisfaction.
This presentation given by Think Big's senior data scientist Eliano Marques at Digital Natives conference in Berlin, Germany (November 2015), details how to go from experimentation to productionization for a predictive maintenance use case.
Presentation: Big Data – From Strategy to Production - Mario Meir-Huber, Big Data Leader Eastern Europe, Teradata GmbH (AT), at the European Data Economy Workshop taking place back to back to SEMANTiCS2015 on 15 September 2015 in Vienna
Industrializing data science: a view from the trenchesAlexander Backus
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.
5 Key Areas in the Construction Industry, where Big Data Solutions Play a Piv...SPEC INDIA
The construction industry is one of the most complex, wide spread and happening industry today. With Big Data solutions paving their way into each and every domain, why would this fraternity not make the most of it? Yes, there is an increasing usage of Big Data Analytics being observed in this industry and there are visible benefits being observed. Have a sneak peek at how this robust technology would facilitate the best of profitability and productivity in the construction industry?
Read more At: http://blog.spec-india.com/big-data-solutions-providing-powerful-thrust-construction-industry/
A Seminar Presentation on Big Data for Students.
Big data refers to a process that is used when traditional data mining and handling techniques cannot uncover the insights and meaning of the underlying data. Data that is unstructured or time sensitive or simply very large cannot be processed by relational database engines. This type of data requires a different processing approach called big data, which uses massive parallelism on readily-available hardware.
BIG Data & Hadoop Applications in FinanceSkillspeed
Explore the applications of BIG Data & Hadoop in Finance via Skillspeed.
BIG Data & Hadoop in Finance is a key differentiator, especially in terms of generating greater investment insights. They are used by companies & professionals for risk assessment, fraud detection & forecasting trends in financial markets.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
MIT Enterprise Forum of Cambridge Connected Things 2017 panel discussion on "IoT Analytics: Using Analytics to Generate High Value from IoT in the Real World"
The following is a smart grid security presentation I developed for my fellow task force members on NERC's 2010 Smart Grid Task Force. The charts included are very helpful in understanding at a glance, where the risks and threats to smart grid reliability and security lie. In the end though it is the 'human factor' that is most important to keep in mind in risk mitigation.
Big Data Expo 2015 - R20 Six Big Myths of Big DataBigDataExpo
Altijd als een onderwerp trendy wordt en als iedereen zich er mee gaat bemoeien, wordt het onderwerp onduidelijk. En dit is absoluut gebeurd met een van de grootste trends in de IT, namelijk big data. Vele boeken, artikelen en blogs zijn er vol over geschreven en ontelbare presentaties zijn er over gegeven. Maar niet altijd wordt een correct beeld gegeven. In deze keynote worden tien hardnekkige big data mythes kritische besproken. Onder andere komen aan bod: meer data is beter, het is big data als het niet in een relationele database past, voor big data is Hadoop of NoSQL noodzakelijk, big data is ongestructureerde data, en analytics vereist big data.
Presentation of the project OpenFridge in the Workshop on Big Data and Society Data Economy, Real-Time Mining and Analytics, Mining Techniques for Online and Customer Service in Big data Era Part of the 2013 IEEE International Conference on Big Data (IEEE Big Data 2013) 6-9 October 2013, Silicon Valley, CA, USA
Transformation Tools for Utilities | Indigo Advisory GroupDavid Groarke
This pivotal moment of transformation in the utility industry is providing large scale and unprecedented opportunity for traditional power providers and those operating at the edge of the grid. In this capability primer, we highlight some of the broader industry technology trends and the resulting tools, approaches and insights that Indigo Advisory Group employs to help utilities navigate uncertainty and create the right strategies.
This pivotal moment of transformation in the utility industry is providing large scale and unprecedented opportunity for traditional power providers and those operating at the edge of the grid. In this capability primer, we highlight some of the broader industry technology trends and the resulting tools, approaches and insights that Indigo Advisory Group employs to help utilities navigate uncertainty and create the right strategies.
Big Data in Oil and Gas: How to Tap Its Full PotentialHitachi Vantara
Tap the full potential of big data to find oil more quickly, enhance oil production, and reduce the health, safety, and environmental risks of equipment failure or operator error. Join this informative 60 minute webcast featuring IDC Energy Insights’ analyst Jill Feblowitz and leading energy experts from Hitachi Data Systems. Explore key findings from IDC Energy Insights' recent examination of big data and analytics in upstream oil and gas. Learn how to: Benefit from the newest technology innovations in upstream oil and gas. Improve the geoscience workflows for more accurate and reliable results. Create big data solutions that scale and perform as you need. Build true big data solutions that are easier to procure, service and support globally. For more information on HDS Solutions for Oil & Gas please visit: http://www.hds.com/solutions/industries/energy.html?WT.ac=us_inside_rm_nrgy
Aws keynote oil and gas calgary industry day - jon guidrozAmazon Web Services
Jon is the head of worldwide Business Development for Energy and Utilities Industries at Amazon Web Services. He presents the State of the Oil and Gas Industry, and how business, engineering, and operations support applications, are solved using the AWS Cloud.
Babson College CIM Software-as-a-Service PresentationJeffrey Kaplan
Presentation given to a CIO group at Babson College November 21, 2008, examining the rapid growth of the SaaS market and the IT/business implications of the on-demand services market.
Industry Insights & Cloud Skeptics - How Enterprises Use The Cloud And What S...Alexander Miller
This presentation offers a look into the current state of cloud infrastructure usage among enterprise organizations. Additionally, we explore current obstacles facing cloud adoption and ways in which these obstacles can be overcome.
This presentation was originally presented at the CloudDevelop Conference in Columbus, OH on August 26th, 2016.
As the pace of overall business accelerates, remaining nimble and responsive to demand fluctuations while keeping inventory costs under control requires new thinking and new tools.
Simon Ellis, Practice Director for IDC Manufacturing Insights, and Dudley Lance, Sales Director for TAKE Solutions, discuss:
Automating forecast collaboration
Achieving alignment without sacrificing quality
Avoiding negative impact on service
Impact on the value chain
Enterprises are faced by information overload. Big data appears as an opportunity, but has no relevance until enterprises can put it in context of their activities, processes, and organizations, Applying MDM principles to Big Data is therefore an opportunity that enterprises should target.
This presentation covers the following topics :
- what is MDM and Information Management
- what is Big Data and what are the use cases
- why and how Big Data can take advantage of MDM ? why and how MDM can take advantage of Big Data ?
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.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
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).
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
4. Increasing Dynamics in the Distribution Grid
Trend: more Information based Investments & Customer Approach
Optimal
to
…delivery of Grid Services to Customers
Cost effective
Reliable
Facilitating Sustainable
Challenge
A Grid Operator needs better Insight in Behaviour on Lower Voltage Levels of the Grid
6. Datum
Titel van de presentatie
6
ModelDriven
> Innovation
> Validation
> Implementation
Better in coding than many statistians
Better in statistics than most coders
Flexible
Open Source Statistical Platform
Dedicated workspace for data & tools
Business priorities first
Analytics Capability
Fundament is eco-system
Analytics Capability
8. Top 3000 Nekaldiet joints vs Top 3000 Riskiest joints
Failure rates per joint
# customers per joint
26
Nekaldiet
18,0
+44%
Risk based
# Failures
# minutes
Change Internal Policy:
Risk-based instead of
Category based
EXAMPLE
9. Decision Support… Business
Goal
Harvesting
Data
Datalake
ModellingAct on insight
Learning
Feedback
Merging
BI data
….is a Continious process
An ultimate way of developing
our organizational knowledge
into an interactive model
Owned by the users in the business
Supported in a platform by IT
NewPhilosophy
10. Research on Realtime Data
Sense
Distribute
Analyze
Implement
GridMeasurement
Robin
11. Connect the Base Model with Realtime Data
Asset Health Cable Quality SensorRecommender System
Match!
Outlier
Outlier
EXAMPLE
12. PD
Data PD
Potential defect, causing potential outage!
Sensor
A
Sensor
B
Sensor System: Smart Cable Guard
‘Heartbeat’
monitoring of
MV cable
connections
EXAMPLE
