Leveraging the power of IoT with MATLAB. Amine El Helou PhD Application Engineer MathWorks 1
|
|
|
- Julian McDaniel
- 6 years ago
- Views:
Transcription
1 Leveraging the power of IoT with MATLAB Amine El Helou PhD Application Engineer MathWorks 1
2 It s not an Internet of Things, It s an internet of People Neil Lawrence inverseprobability.com intel.com 2
3 Internet of (every)things (IoT), what it s really about 3
4 Anatomy of an IoT ecosystem Business/External Systems (ERP, CRM, EHR, Weather, Market, Social data ) Things sending DATA (embedded systems &/or sensors) 1 (Cloud) Infrastructure hosting both DATA & Application Servers 2 4 PRODUCTION Environment Real-Time &/or On-Demand Analytics DATA Lake Engineering, Scientific & Field Business, Transactional, Social, Clinical Business Application Enable end-users to visualize & take decisions 3 Development Platform(s) Enable Domain Experts to Access, Develop, Scale & Deploy analytics on both Things & Infrastructure 4
5 Anatomy of an IoT ecosystem & main challenges associated Business/External Systems (ERP, CRM, EHR, Weather, Market, Social data ) 2 (Cloud) Infrastructure hosting both DATA & Application Servers 4 Business Application Enable end-users to visualize & take decisions Things sending DATA (embedded systems &/or sensors) 1 PRODUCTION Environment Real-Time &/or On-Demand Analytics DATA Lake Engineering, Scientific & Field Business, Transactional, Social, Clinical 3 Development Platform(s) Enable Domain Experts to Access, Develop, Scale & Deploy analytics on both Things & Infrastructure 5
6 How can you leverage & address the challenges of IoT? Accessing Aggregators/Data Aggregators RDBMS/SQL SQLite/No-SQL Databases Google Cloud/Big Query AWS Homegrown ThingSpeak Web services webread/websave RESTful,SOAP Protocols (e.g., Xively, SDMX) Thingspeak Toolbox API for social interaction data Indico/Twitter 6
7 How can you leverage & address the challenges of IoT? Accessing & Deploying at the Edge nodes Hardware Connectivity & Support Packages DAQ/Instruments Control/Low-Cost HW/iOS/Android Communication M2M (e.g., DDS) Device to aggregator (e.g., ThingSpeak) Device to analyst (e.g., XBee ) 2-4G/RF/WLAN Automatic Code Generation Embedded processors and FPGAs Popular IoT devices (RaspberryPi, Arduino, ARM,STM ) Verification/Validation & Process Support* Model & Code proving IEC Certification /DO Qualification kits 10
8 How can you leverage & address the challenges of IoT? Deploying Analytics into Production environments Desktop/Mobile Application Dashboards & Webpages Hadoop servers Databases MATLAB Custom environments (e.g., Google Earth, TIBCO Spotfire, Qlik ) Standalone Application Excel Add-in Hadoop C/C ++ Java.NET.py Web/ Application Server 12
9 Anatomy of an IoT ecosystem & main challenges associated Things sending DATA (embedded systems &/or sensors) 1 2 (Cloud) Infrastructure hosting both DATA & Application Servers PRODUCTION Environment Real-Time &/or On-Demand Analytics DATA Lake Engineering, Scientific & Field Business, Transactional, Social, Clinical 4 Business Application Enable end-users to visualize & take decisions 3 Development Platform(s) Enable Domain Experts to Access, Develop, Scale & Deploy analytics on both Things & Infrastructure 13
10 Anatomy of an IoT ecosystem & main strengths of MATLAB Things sending DATA (embedded systems &/or sensors) 1 2 (Cloud) Infrastructure hosting both DATA & Application Servers PRODUCTION Environment Real-Time &/or On-Demand Analytics DATA Lake Engineering, Scientific & Field Business, Transactional, Social, Clinical 4 Business Application Enable end-users to visualize & take decisions 3 Development Platform(s) Enable Domain Experts to Access, Develop, Scale & Deploy analytics on both Things & Infrastructure 14
11 Thanking You with examples of MATLAB saving lives (& money) (running as we speak) Opportunity Crash detection Link to Story 15
12 Thanking You with examples of MATLAB saving lives (& money) (running as we speak) Opportunity Asthma crisis detection Analytics in cloud & embedded Captures windpipe sound & clean/processes the data locally Spectral processing & Pattern-detection (NN & KNN) on the cloud Benefit (Provides feedback to patient & alert doctors) Eliminates error-prone self-reporting & visits to the doctor Quick hospitalization in case of emergency alarm Results with Mathworks Manual coding effort reduced Algorithm development iterations faster Code maintenance overhead reduced Link to Story 16
Data Analysis in the Internet of Things: IoT capabilities with MATLAB/Simulink
Data Analysis in the Internet of Things: IoT capabilities with MATLAB/Simulink Dr.-Ing. Rainer Mümmler Application Engineering Team The MathWorks GmbH 2015 The MathWorks, Inc. 1 Overview Publish data to
MATLAB and the Internet of Things (IoT): Collecting and Analysing IoT Data Gabriele Bunkheila Technical Marketing, MathWorks
MATLAB and the Internet of Things (IoT): Collecting and Analysing IoT Data Gabriele Bunkheila Technical Marketing, MathWorks 2015 The MathWorks, Inc. 1 What is the Internet of Things? Thing Thing Thing
ThingSpeak - IoT Platform with MATLAB Analytics
ThingSpeak - IoT Platform with MATLAB Analytics Martin Foltin foltin@humusoft.sk Michal Blaho blaho@humusoft.sk www.humusoft.cz info@humusoft.cz www.mathworks.com Internet of Things Devices Analytics Insight
Developing Analytics and Deploying IoT Systems
Developing Analytics and Deploying IoT Systems Amit Doshi Senior Application Engineer, MathWorks India amit.doshi@mathworks.in 2015 The MathWorks, Inc. 1 What is Internet of things (IoT)? Internet of Things
MATLAB for Data Analytics The MathWorks, Inc. 1
MATLAB for Analytics 2016 The MathWorks, Inc. 1 Railway Automotive Aeronautics Retail Finance Off-highway vehicles Prognostics Fleet Analytics Condition Monitoring Retail Analytics Operational Analytics
Sharing and Deploying MATLAB Programs
Sharing and Deploying Programs Dr. Harald Brunnhofer 2015 The MathWorks, Inc. 1 Data Analytics Workflow Business Systems Smart Connected Systems Data Acquisition Data Analytics Analytics Integration :
Scaling up MATLAB Analytics with Kafka and Cloud Services
Scaling up Analytics with Kafka and Cloud Services Olof Larsson 2015 The MathWorks, Inc. 1 Agenda 1 Access and Explore Data 2 Preprocess Data 3 Develop Predictive Models Integrate with Production 5 Visualize
2015 The MathWorks, Inc. 1
2015 The MathWorks, Inc. 1 엔터프라이즈, 빅데이터및 애널리틱솔루션활용을위한 적용기술소개 성호현부장 2015 The MathWorks, Inc. 2 Agenda 1 Access and Explore Data 2 Preprocess Data 3 Develop Predictive Models 4 Integrate with Production
Scaling up MATLAB Analytics with Kafka and Cloud Services
Scaling up Analytics with Kafka and Cloud Services Christoph Stockhammer 2015 The MathWorks, Inc. 1 Agenda 1 Access and Explore Data 2 Preprocess Data 3 Develop Predictive Models Integrate with Production
Ampliando MATLAB Analytics con Kafka y Servicios en la Nube
Ampliando Analytics con Kafka y Servicios en la Nube Lucas García 2015 The MathWorks, Inc. 1 Agenda 1 Access and Explore Data 2 Preprocess Data 3 Develop Predictive Models 4 Integrate with Production 5
Developing and Deploying Analytics for IoT Systems
Developing and Deploying Analytics for IoT Systems Daryl Ning Applications Engineer MathWorks Australia 2015 The MathWorks, Inc. 1 Key Takeaways MATLAB helps you develop IoT algorithms MATLAB and ThingSpeak
Introduction to Data Analytics with MATLAB
Introduction to Data Analytics with MATLAB David Willingham 2016 The MathWorks, Inc. 1 WITH SOFTWARE (and smart people) ANYTHING IS POSSIBLE 2 Business and Transactional Data Repositories Databases (SQL)
Lesson 3 Cloud Platform as a Service usages for accelerated Design and Deployment of IoTs
Lesson 3 Cloud Platform as a Service usages for accelerated Design and Deployment of IoTs 1 Large and Big Data platform Oracle IOT PaaS For delivering, integrating, securing and retrieving For analysing
Mango Solution Easy Affordable Open Source. Modern Building Automation Data Acquisition SCADA System IIoT
Mango Solution Easy Affordable Open Source Modern Building Automation Data Acquisition SCADA System IIoT HTTP SQL is a 100% browser-based, cross platform software application that enables users to access
DATA ACQUISITION PROCESSING AND VISUALIZATION ALL-IN-ONE END-TO-END SOLUTION EASY AFFORDABLE OPEN SOURCE
DATA ACQUISITION PROCESSING AND VISUALIZATION ALL-IN-ONE END-TO-END SOLUTION EASY AFFORDABLE OPEN SOURCE FROM INFINITE AUTOMATION SYSTEMS INC WWW.INFINITEAUTOMATION.COM (303) 558-7112 www.infiniteautomation.com
Enterprise-Scale MATLAB Applications
Enterprise-Scale Applications Sylvain Lacaze Rory Adams 2018 The MathWorks, Inc. 1 Enterprise Integration Access and Explore Data Preprocess Data Develop Predictive Models Integrate Analytics with Systems
Integrating MATLAB Analytics into Enterprise Applications
Integrating MATLAB Analytics into Enterprise Applications David Willingham 2015 The MathWorks, Inc. 1 Run this link. http://bit.ly/matlabapp 2 Key Takeaways 1. What is Enterprise Integration 2. What is
AXON PREDICT ANALYTICS FOR VXWORKS
AN INTEL COMPANY AXON PREDICT ANALYTICS FOR VXWORKS Real-Time Advanced Visual Edge Analytics Integrated with the VxWorks Real-Time Operating System Data. It is doubling in size every two years, and by
5th Annual. Cloudera, Inc. All rights reserved.
5th Annual 1 The Essentials of Apache Hadoop The What, Why and How to Meet Agency Objectives Sarah Sproehnle, Vice President, Customer Success 2 Introduction 3 What is Apache Hadoop? Hadoop is a software
Get More From Your Data with Data Analytics
Get More From Your Data with Data Analytics Francesca Perino 2015 The MathWorks, Inc. 1 2 3 4 Buildings have thermodynamic properties u t α 2 u x 2 + 2 u y 2 + 2 u z 2 = 0 5 Temperatures change 6 Electricity
2015 The MathWorks, Inc. 1
2015 The MathWorks, Inc. 1 고장진단및건전성관리기술 알고리즘개발에서사물인터넷환경구성까지 Senior Application Engineer 엄준상과장 2015 The MathWorks, Inc. 2 What is Predictive Maintenance? 3 Pump - detected I need help. 4 Pump - detected
ThingsExpo New York June 2016
Edge Computing: The Next Frontier for the IoT Business Landscape Edge/Persisted Storage, Governance, and Market Drivers Considerations and Limitations of Centralized Data Lakes ThingsExpo New York June
The Importance of good data management and Power BI
The Importance of good data management and Power BI The BI Iceberg Visualising Data is only the tip of the iceberg Data Preparation and provisioning is a complex process Streamlining this process is key
ACHIEVE INNOVATION WITH CONNECTED CAPABILITIES Connected Product Maturity Model. white paper
ACHIEVE INNOVATION WITH CONNECTED CAPABILITIES Connected Product Maturity Model white paper EXECUTIVE SUMMARY The world is moving to connected products Companies will leverage the data and intelligence
Get More From Your Data with Data Analytics. Valerie Leung Application Engineering 1
Get More From Your Data with Data Analytics Valerie Leung Application Engineering valerie.leung@mathworks.fr 1 2 3 4 Buildings have thermodynamic properties u t α 2 u x 2 + 2 u y 2 + 2 u z 2 = 0 5 Temperatures
Big Data and Machine Learning for Predictive Maintenance
Big Data and Machine Learning for Predictive Maintenance Paul Peeling 2015 The MathWorks, Inc. 1 Agenda The Predictive Maintenance Opportunity Exploring Big Data Machine Learning Approaches Deep Learning
The Rise of Engineering-Driven Analytics. Richard Rovner VP Marketing
The Rise of Engineering-Driven Analytics Richard Rovner VP Marketing MathWorks @RichardRovner The Rise of Engineering-Driven Analytics The Rise of Engineering-Driven Analytics Limited users, scope & technology
The Rise of Engineering-Driven Analytics
The Rise of Engineering-Driven Analytics Roy Lurie, Ph.D. Vice President Engineering, MATLAB Products 2015 The MathWorks, Inc. 1 The Rise of Engineering-Driven Analytics 2 The Rise of Engineering-Driven
WHITE PAPER. The Manager s Guide to Solving the Big Data Conundrum
WHITE PAPER The Manager s Guide to Solving the Big Data Conundrum As business and engineering data proliferates, more businesses are turning away from using spreadsheets to analyze their big data. This
Analytics in Action transforming the way we use and consume information
Analytics in Action transforming the way we use and consume information Big Data Ecosystem The Data Traditional Data BIG DATA Repositories MPP Appliances Internet Hadoop Data Streaming Big Data Ecosystem
Embracing the Hybrid Cloud using Power BI in CSP. Name Role Group
Embracing the Hybrid Cloud using Power BI in CSP Name Role Group Agenda Cloud Vision & Opportunity What is Power BI Power BI in CSP Power BI in Action Summary Microsoft vision for new era Unified platform
EXAMPLE SOLUTIONS Hadoop in Azure HBase as a columnar NoSQL transactional database running on Azure Blobs Storm as a streaming service for near real time processing Hadoop 2.4 support for 100x query gains
Mastering the operational complexity of IoT Applications
Mastering the operational complexity of IoT Applications The benefits of AI-powered, full stack monitoring 2017 Dynatrace Executive Summary Internet-of-things (IoT) is increasing in excitement across all
Big Data Introduction
Big Data Introduction Who we are Experts At Your Service Over 50 specialists in IT infrastructure Certified, experienced, passionate Based In Switzerland 100% self-financed Swiss company Over CHF8 mio.
MapR: Converged Data Pla3orm and Quick Start Solu;ons. Robin Fong Regional Director South East Asia
MapR: Converged Data Pla3orm and Quick Start Solu;ons Robin Fong Regional Director South East Asia Who is MapR? MapR is the creator of the top ranked Hadoop NoSQL SQL-on-Hadoop Real Database time streaming
Integrating MATLAB Analytics into Enterprise Applications The MathWorks, Inc. 1
Integrating Analytics into Enterprise Applications 2015 The MathWorks, Inc. 1 Agenda Example Problem Access and Preprocess Data Develop a Predictive Model Integrate Analytics with Production Systems Build
Novedades de las últimas versiones de MATLAB y Simulink
Novedades de las últimas versiones de MATLAB y Simulink R2016b R2017a Paz Tárrega David Pérez 2015 The MathWorks, Inc. 1 Application Breadth Workflow Depth Platform Productivity Products for the work you
Acquiring and Processing Data at the Edge of the Energy Grid
Solution Brief Energy Industry Acquiring and Processing Data at the Edge of the Energy Grid Utility-grade platform helps utilities improve business operations and asset health Solving the connect the unconnected
Powering the Edge to the Enterprise
Powering the Edge to the Enterprise Intelligent Equipment. Smart Devices. Smart Systems for OEMs. Intelligent Equipment. Smart Devices. Smart Systems. Our connected world is increasingly populated with
The Analytics of Things
The Analytics of Things Creating new value from industrial IoT data Christoph Hartmann SAS 8th of February 2016 Picture: by chensiyuan (CC BY-SA 4.0) At least, we have data Survey Findings & Thoughts
What s new in MATLAB and Simulink
What s new in MATLAB and Simulink Mandar Gujrathi Mandar.Gujrathi@mathworks.com.au 2015 The MathWorks, Inc. 1 Platform Productivity Workflow Depth Application Breadth Getting your work done faster Support
CASE STUDY Delivering Real Time Financial Transaction Monitoring
CASE STUDY Delivering Real Time Financial Transaction Monitoring Steve Wilkes Striim Co-Founder and CTO Background Customer is a US based Payment Systems Provider Large Network of ATM and Cashier Operated
TIBCO Data & Analytics Overview
TIBCO Data & Overview Fuel your digital business with better decisions and faster, smarter actions using TIBCO Connected Intelligence. DV Data Virtualization DCa Data Catalog EAn Embedded ERe Enterprise
Digital Transformation and the IIoT
Digital Transformation and the IIoT Presented by: Cindy Crow Global Industry Principal Oil & Gas What the Industrial Internet of Things Looks Like Today 2 Today, your cell phone has more computer power
What s New in MATLAB and Simulink
What s New in MATLAB and Simulink Dr. Marc Segelken 2015 The MathWorks, Inc. 1 Platform Productivity Workflow Depth Application Breadth Getting your work done faster Support for your entire workflow Products
A NEW PLATFORM FOR A NEW ERA
A NEW PLATFORM FOR A NEW ERA Copyright 2013 2014 Pivotal. All rights reserved. 2 Pivotal : Innovation & Digital Marc Filmon Pivotal At-a-Glance New Independent Venture: Spun out & jointly owned by EMC
Push IIoT Data from Sensor to Cloud Without Getting Lost Along the Way
Push IIoT Data from Sensor to Cloud Without Getting Lost Along the Way Daymon Thompson Local Product Manager N.A. beckhoff.usa@beckhoff.com Beckhoff Automation Global Headquarters: North America Headquarters
Make Business Intelligence Work on Big Data
Make Business Intelligence Work on Big Data Speed. Scale. Simplicity. Put the Power of Big Data in the Hands of Business Users Connect your BI tools directly to your big data without compromising scale,
What s New in MATLAB and Simulink
What s New in MATLAB and Simulink Daryl Ning Applications Engineer MathWorks Australia 2015 The MathWorks, Inc. 1 Platform Productivity Workflow Depth Application Breadth Getting your work done faster
How to sell Azure to SMB customers. Paul Bowkett Microsoft NZ
How to sell Azure to SMB customers Paul Bowkett Microsoft NZ CLOUD INFRASTRUCTURE DEVELOPER + APP PLATFORM Visual Studio Family + Azure App Service DATA + ANALYTICS Cortana Analytics Suite INTERNET OF
Data Analytics for Semiconductor Manufacturing The MathWorks, Inc. 1
Data Analytics for Semiconductor Manufacturing 2016 The MathWorks, Inc. 1 Competitive Advantage What do we mean by Data Analytics? Analytics uses data to drive decision making, rather than gut feel or
PI System. & the Greater Technology Landscape. Penny Gunterman, PhD Product Marketing Manager. #OSIsoftUC #PIWorld 2018 OSIsoft, LLC
PI System & the Greater Technology Landscape Penny Gunterman, PhD Product Marketing Manager Intro to PI System Track: New to PI System? We ll get you up to speed! 01 02 03 04 Landscape Crash Course Asset
Azure Data Analytics & Machine Learning Seminar. Daire Cunningham: BI Practice Area Manager
Azure Data Analytics & Machine Learning Seminar Daire Cunningham: BI Practice Area Manager AGENDA 09:00 AM 09:30 AM Registration & Refreshments 09.30AM 10:00 AM 10:00 AM 10:30 AM Welcome & Keynote, Ger
Stream Processing: Streaming Data in Real Time, In Memory
Stream Processing: Streaming Data in Real Time, In Memory Fern Halper TDWI Director of Research for Advanced Analytics @fhalper August 12, 2015 Sponsors 2 Speakers Fern Halper Research Director, Advanced
Predictive Maintenance with MATLAB and Simulink
Predictive Maintenance with MATLAB and Simulink Daryl Ning Applications Engineer MathWorks Australia 2015 The MathWorks, Inc. 1 Predictive Maintenance Identify and prevent failures before they occur: Reduces
What s New in MATLAB and Simulink
What s New in MATLAB and Simulink François Guérin and Daniel Martins, MathWorks 2015 The MathWorks, Inc. 1 Application Breadth Workflow Depth Platform Productivity Products for the work you do 2 Machine
Think Connected. Modern IoT Solutions with Microsoft Azure. Mihail Mateev, Solutions Architect, Technical PM and Senior Technical Strypes
Think Connected Modern IoT Solutions with Microsoft Azure Mihail Mateev, Solutions Architect, Technical PM and Senior Technical Evangelist @ Strypes SQLSat Kyiv Team Olena Smoliak Vitaliy Popovych Oksana
Copyright - Diyotta, Inc. - All Rights Reserved. Page 2
Page 2 Page 3 Page 4 Page 5 Humanizing Analytics Analytic Solutions that Provide Powerful Insights about Today s Healthcare Consumer to Manage Risk and Enable Engagement and Activation Industry Alignment
GUIDE TO DATA WAREHOUSING
GUIDE TO DATA WAREHOUSING OVERVIEW Implementing a data warehouse is a strong step toward managing data on an enterprise level, either for management purposes or business intelligence efforts. Some believe
Advancing your Big Data Strategy
Welcome # T C 1 8 Advancing your Big Data Strategy Robbin Cottiss Strategic Customer Consultant Tableau Vindy Krishnan Senior Product Manager Tableau You Know Me And Me DATA TABLEAU AND Audience Poll How
The digital revolution in manufacturing gets real with SAP Manufacturing Day. 17 maggio 2018 Vimercate
The digital revolution in manufacturing gets real with SAP Manufacturing Day 17 maggio 2018 Vimercate is the the new epicenter of transformation help Customers to make their transition new revenue streams
Big Data Platform Implementation
Big Data Platform Implementation Consolidate Automate Predict Innovation Intelligence Cloud Big Data Platform Implementation - Objective InnoTx helps organizations create an Analytics Ready Data environment.
SAP Leonardo. Artur Gornik Cloud and Platform Technology SAP Middle & Eastern Europe
SAP Leonardo Artur Gornik Cloud and Platform Technology SAP Middle & Eastern Europe Digitization Every company strives to become a connected business Connected Data Integration Collaboration Mobile Big
SAP Business One 9.3, version for SAP HANA Overview of the Exclusive Features. Global Roll-out, SAP July, 2018
SAP Business One 9.3, version for SAP HANA Overview of the Exclusive Features Global Roll-out, SAP July, 2018 SAP Business One SAP s best selling ERP solution by number of customers Used by 60,000+ customers
The Open IoT Stack: Architecture and Use Cases
The Open IoT Stack: Architecture and Use Cases James Kirkland Chief IoT Architect, Red Hat Marco Carrer CTO, Eurotech 1 TODAY S IoT CHALLENGES Lack of Open Standards Diverse set of technologies, features,
Luxoft and the Internet of Things
Luxoft and the Internet of Things Bridging the gap between Imagination and Technology www.luxoft.com/iot Luxoft and The Internet of Things Table of Contents Introduction... 3 Driving Business Value with
NOUS INFOSYSTEMS LEVERAGING INTELLECT BI TRENDS. More Power to Users, Better Insights. Karthik Valluri BI lead
NOUS INFOSYSTEMS LEVERAGING INTELLECT TM R BI TRENDS More Power to Users, Better Insights Karthik Valluri BI lead BI EVOLUTION The BI Ecosystem has been dramatically changed over the past few years. At
Delivering Business Results for Connected Industrial Systems
Delivering Business Results for Connected Industrial Systems Start Faster. Go Further. A Our Customers A Solution Outcomes Industrial Thing Makers ü Healthcare ü Heavy Equipment ü Oil & Energy ü Fleet
IoT Monitoring Solution MONITORING SOLUTION. Delivering on the promise of IoT Faster. April 2018
MONITORING SOLUTION Delivering on the promise of IoT Faster April 2018 1 It s not about Connect & Collect it s about Insight & Action 2 Business Value IoT Monitoring Solution The Goal: Deploying high value
Streaming Calculation with the PI System and MATLAB
Streaming Calculation with the PI System and MATLAB Nitin Agarwal, Software Team Lead, OSIsoft Sachin Nikumbh, Engineering Manager, MathWorks Heather Gorr, PhD, Product Manager, MathWorks Stephen Kwan,
30 min. Close. Facilitating innovation with IoT. Digital Transformation. Microsoft portfolio for product development
Close Facilitating innovation with IoT Microsoft portfolio for product development 30 min Digital Transformation IoT & analytics in the product lifecycle Data Analytics Cloud Digital Transformation Engage
By 2020, more than half of major new business processes and systems will incorporate some element of the IoT.
Trends in Analytics By 2020, more than half of major new business processes and systems will incorporate some element of the IoT. Gartner Unexpected Implications Arising From the Internet of Things report
Comprehensive Enterprise Solution for Compliance and Risk Monitoring
Comprehensive Enterprise Solution for Compliance and Risk Monitoring 30 Wall Street, 8th Floor New York, NY 10005 E inquiries@surveil-lens.com T (212) 804-5734 F (212) 943-2300 UNIQUE FEATURES OF SURVEILLENS
IoT ANALYTICS IN THE ENTERPRISE WITH FUNL
INNOVATION PLATFORM WHITE PAPER 1 The plethora of IoT devices is already adding to the exponentially increasing volumes, variety, and velocity of Big Data. This paper examines IoT analytics and provides
Real-time Streaming Insight & Time Series Data Analytic For Smart Retail
Real-time Streaming Insight & Time Series Data Analytic For Smart Retail Sudip Majumder Senior Director Development Industry IoT & Big Data 10/5/2016 Economic Characteristics of Data Data is the New Oil..then
Content. 1. Corporate goals: machine builders / end customers 2. Solution strategies 3. Requirements 4. Solutions 5. Solution validation
TwinCAT IoT Content 1. Corporate goals: machine builders / end customers 2. Solution strategies 3. Requirements 4. Solutions 5. Solution validation 2 Corporate goals of end customers Reduce production
Analytics for All Your Data: Cloud Essentials. Pervasive Insight in the World of Cloud
Analytics for All Your Data: Cloud Essentials Pervasive Insight in the World of Cloud The Opportunity We re living in a world where just about everything we see, do, hear, feel, and experience is captured
Redefine Big Data: EMC Data Lake in Action. Andrea Prosperi Systems Engineer
Redefine Big Data: EMC Data Lake in Action Andrea Prosperi Systems Engineer 1 Agenda Data Analytics Today Big data Hadoop & HDFS Different types of analytics Data lakes EMC Solutions for Data Lakes 2 The
Four Elastic ipaas Requirements That Must Not Be Ignored A SNAPLOGIC WHITEPAPER
Four Elastic ipaas Requirements That Must Not Be Ignored A SNAPLOGIC WHITEPAPER 2 Introduction 3 Table of Contents Elastic ipaas Requirement #1: Resiliency 4 Elastic ipaas Requirement #2: Fluidity in 5
Business is being transformed by three trends
Business is being transformed by three trends Big Cloud Intelligence Stay ahead of the curve with Cortana Intelligence Suite Business apps People Custom apps Apps Sensors and devices Cortana Intelligence
The Future of IoT. Don DeLoach Co-Chair, Midwest IoT Council
The Future of IoT Don DeLoach Co-Chair, Midwest IoT Council Agenda What Will You Learn? The likely progression of IoT and why the market will shift to a focus from the enterprise view, and what that means
IoT in Action with Microsoft. March Fairmont Hotel, San Jose ANATOMY OF IOT. Carl Coken GM, IoT Microsoft Corp.
IoT in Action with Microsoft March 21-22 Fairmont Hotel, San Jose ANATOMY OF IOT Carl Coken GM, IoT Microsoft Corp. Agenda Anatomy of IoT Overview Device Connectivity Building an IoT Solution Anatomy of
Mass-Scale, Automated Machine Learning and Model Deployment Using SAS Factory Miner and SAS Decision Manager
Mass-Scale, Automated Machine Learning and Model Deployment Using SAS Factory Miner and SAS Decision Manager Jonathan Wexler Principal Product Manager Data Mining and Machine Learning SAS Steve Sparano
Analytics in the Cloud, Cross Functional Teams, and Apache Hadoop is not a Thing Ryan Packer, Bank of New Zealand
Paper 2698-2018 Analytics in the Cloud, Cross Functional Teams, and Apache Hadoop is not a Thing Ryan Packer, Bank of New Zealand ABSTRACT Digital analytics is no longer just about tracking the number
Engineering Transformation
Engineering Transformation 1 1 1 1 1 1 1 1 1 1 1 1 11 1 SOLUTIONS SERVICES JAVELIN - IIoT/INDUSTRIE 4. PLATFORM Engineering Transformation WE OFFER A RANGE OF SOLUTIONS & SERVICES LEVERAGING OUR ACCELERATORS
enteliweb Software: Enterprise Facility and Energy Management
Software: Enterprise Facility and Energy Management Description enteliweb is a web-based application that connects all your facilities and centralizes building management operations, site engineering and
The Internet of Things Platform
The Internet of Things Platform 2018 Platform Overview kaleidoscopeiot.com 1 WHO WE ARE Today, IoT devices have out-numbered the world s population - by 2030 over 125 billion IoT devices will have invaded
Healthcare Integration. Lab data solutions with one simple connection
Healthcare Integration Lab data solutions with one simple connection About Lifepoint Lifepoint Informatics, founded in 1999, is the trusted leader in healthcare information technology. Our solutions advance
5 STEPS TO AUTOMATE YOUR PRODUCT LIFE CYCLE A guide produced by Sweet Systems
5 STEPS TO AUTOMATE YOUR PRODUCT LIFE CYCLE A guide produced by Sweet Systems The foundation of the Internet of Things The foundation of the Internet of Things - IoT - is about device-to-device communication.
The Store of Today. Sponsored by
The Store of Today Sponsored by Introduction In recent years, the world of retail technology has been fixated on the idea of the Store of Tomorrow. This concept builds upon the now universally recognized
Page 1 of 5 Copyright 2017 Platformatics, Inc. CA-MRCS-DS MSML
Cloud Analytics System & Monitored Remote Care Services As an operator of world class facilities, you know that it takes a lot of effort to make your buildings operate seamlessly. With Platformatics Cloud
IoT Based Automated Wate Billing System (AWBS)
IoT Based Automated Wate Billing System (AWBS) [1] Bhavya P, [2] ArunKumar S N, [3] Abhinav Karan [1] [2] PG Student, [3] Assistant Professor, [1] [2] [3] Department of Electronics and Communication, Dayananda
Business Intelligence, 4e (Sharda/Delen/Turban) Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science
Business Intelligence, 4e (Sharda/Delen/Turban) Chapter 1 An Overview of Business Intelligence, Analytics, and Data Science 1) Computerized support is only used for organizational decisions that are responses
Becoming an Intelligent Enterprise to Make Money Out of Data
Becoming an Intelligent Enterprise to Make Money Out of Data Shailendra Kumar, Chief Evangelist, SAP October 10, 2018 Changing Times 2 The Digital Era is evolving into The Intelligence Era Mainframe &
can boost global IoT success
How OpenLabs can boost global IoT success With 22 OpenLabs around the globe, including 8 jointly developed with telcos, Huawei is committed to open partnerships and success for all in the IoT domain. So,
Advances in PI System Streaming Analytics
Advances in PI System Streaming Analytics Stephen Kwan, OSIsoft Product Manager Jim Stewart, Ph.D., MathWorks Senior Engineering Manager Goals and Objectives Use PI System as the data infrastructure Enable
SQL Server Analysis Services Tabular Models and Power BI
SQL Server Analysis Services Tabular Models and Power BI Course ISI-1487 4 Days Instructor-led, Hands-on Introduction This four-day instructor-led course is aimed at database professionals who fulfill
of Cold Chain using Wireless Sensor Network and Sensor Cloud Infrastructure
OPEN ACCESS Conference Proceedings Paper Sensors and Applications www.mdpi.com/journal/sensors Advanced Monitoring of Cold Chain using Wireless Sensor Network and Sensor Cloud Infrastructure Abel Avitesh
Stream Processing. Kai Wähner. as Game Changer for the Internet of
Stream Processing as Game Changer for the Internet of Things Kai Wähner kwaehner@tibco.com @KaiWaehner www.kai-waehner.de LinkedIn / Xing Please connect! Key Messages Streaming Analytics processes Data
Special thanks to Chad Diaz II, Jason Montgomery & Micah Torres
Special thanks to Chad Diaz II, Jason Montgomery & Micah Torres Outline: What cloud computing is The history of cloud computing Cloud Services (Iaas, Paas, Saas) Cloud Computing Service Providers Technical