The document discusses the rise of big data and how everything is now connected to the internet and generates large amounts of data. It provides examples of how much digital content and transactions happen every day. It then discusses how companies can harness big data by using technology platforms to analyze and classify data to gain insights and make better decisions. The document uses Mindshare as an example of how they use different tools like CRM, RTB, RTC and RTE to leverage big data for applications like advertising, recommendations, and content personalization. It concludes by noting that while big data is not as developed in Asia yet, it will continue growing due to improving data ecosystems, technology and market understanding.
Direct and indirect beneficiaries of innovations relating to the Big Data phenomenon, the media must develop new standards and processes to capture the full potential of data. Hugues Rey will explain to us how the media agencies can play a role in this process and what developments are in progress. Didier Joos will show us how media-related data can be processed to enable advertisers and producers of content to derive maximum value from it.
Index:
1) The Importance of Data
2) What is Big Data Concept
3) Big Data vs. Cloud Computing
4) The basic idea behind Big Data
5) Why do we use Big Data
6) Top 10 companies using Big Data
7) What kind of data is Big Data
8) Is Privacy a value
9) Future of Big Data by 2020
The mountain of Big Data is growing, presenting immense opportunities for businesses ready to summit its peak, but the journey requires careful preparation. Integra helps businesses equip their network infrastructure to handle big requirements for Big Data—with fully-symmetrical Ethernet solutions designed to deliver low-latency, high-bandwidth connectivity between organizational peers, the cloud, and the servers where your data is stored. Our infographic, "Summiting the Mountain of Big Data" will help you understand how big "Big Data" really is; who's producing, consuming, managing and storing all that data; the business advantages you can capture by tapping into its power; and how you can prepare your organization to meet its demands—resulting in Big Gains from Big Data.
Direct and indirect beneficiaries of innovations relating to the Big Data phenomenon, the media must develop new standards and processes to capture the full potential of data. Hugues Rey will explain to us how the media agencies can play a role in this process and what developments are in progress. Didier Joos will show us how media-related data can be processed to enable advertisers and producers of content to derive maximum value from it.
Index:
1) The Importance of Data
2) What is Big Data Concept
3) Big Data vs. Cloud Computing
4) The basic idea behind Big Data
5) Why do we use Big Data
6) Top 10 companies using Big Data
7) What kind of data is Big Data
8) Is Privacy a value
9) Future of Big Data by 2020
The mountain of Big Data is growing, presenting immense opportunities for businesses ready to summit its peak, but the journey requires careful preparation. Integra helps businesses equip their network infrastructure to handle big requirements for Big Data—with fully-symmetrical Ethernet solutions designed to deliver low-latency, high-bandwidth connectivity between organizational peers, the cloud, and the servers where your data is stored. Our infographic, "Summiting the Mountain of Big Data" will help you understand how big "Big Data" really is; who's producing, consuming, managing and storing all that data; the business advantages you can capture by tapping into its power; and how you can prepare your organization to meet its demands—resulting in Big Gains from Big Data.
SB106 -- Social Business in the Context of IBM's Overall StrategyArthur Fontaine
Connect 2014 presentation on Social Business in IBM strategy. Presented by Andrew Warzecha, VP Strategy for IBM Software Group, and Arthur Fontaine, Program Director in Business & Technical Strategy group at IBM Collaboration Solutions.
Big Data for beginners, the main points you need to know. Simple answers to: What is Big Data? What are the benefits of Big Data? What is the future of Big Data?
Back in 2006 we couldn’t have imagined the tools, campaigns, platforms and memes that would rise (and fall) in the next 10 years. Mike will take a sideways look at the trends and insights we expect from the next 10 years and beyond.
Whitepaper: Thriving in the Big Data era Manage Data before Data Manages you Intellectyx Inc
Paper Overview -
Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone.
Data comes from everywhere and we are generating data more than ever before.
This white paper will explain what Big Data is and provide practical examples, concluding with a message how to put data your data to work.
A Review of Big data for Social Policy Decision Making Ridi Fe
This presentation is presented on ICSC 2018 at University Club - Universitas Gadjah Mada. it discusses how big data and cloud computing enhance social policy decision making. this research is supported by Microsoft Innovation Center UGM
BIG Data & Hadoop Applications in Social MediaSkillspeed
Explore the applications of BIG Data & Hadoop in Social Media via Skillspeed.
BIG Data & Hadoop in Social Media is a key differentiator, especially in terms of generating memorable customer experiences.
Herein, we discuss how leading social networks such as Facebook, Twitter, Pinterest, LinkedIN, Instagram & Stumble Upon utilize Hadoop.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
Small data vs. Big data : back to the basicsAhmed Banafa
Small data is data in a volume and format that makes it accessible, informative and actionable.
The Small Data Group offers the following explanation:
Small data connects people with timely, meaningful insights (derived from big data and/or “local” sources), organized and packaged – often visually – to be accessible, understandable, and actionable for everyday tasks.
3 Mitos de Big Data revelados
Uno. Sobre el tamaño de datos: el verdadero valor está en cómo utilizamos los datos, no la cantidad de datos que tenemos.
Dos. Todas las personas necesitan acceder a la información de manera fácil y rápida. Para resolver esta necesidad requerimos alguien especializado en datos (un Data Scientist)
Tres. Existen lo que se denomina "framework de software" especiales como Hadoop. Es un sistema bueno, pero generalmente necesitamos unir información de fuentes dispares que se encuentra dispersa.
Fundamentals of Big Data in 2 minutes!!Simplify360
In today’s world where information is increasing every second, BIG DATA takes up a major role in transforming any business.
Learn the fundamentals of big data in just 2 minutes!
Is big data just a buzzword -Big data simply explainedVivek Srivastava
Big data helps us to uncover and discover those facets of data which we are not aware of . Using predictive science it helps us to provide insights on which actions can be taken and suggests those actions which will impact the business significantly boosting the revenue or market reach.For example, using large amount of data and appropriate tools, we can categorize different strata of population and build customize products. So whether companies deploy it or not, all depends on what factor constitute the value of company and where the center of value creation lies. It may be money or it may be geographic reach. - Watch this video at https://www.youtube.com/watch?v=ELyOl0fkqNM
SB106 -- Social Business in the Context of IBM's Overall StrategyArthur Fontaine
Connect 2014 presentation on Social Business in IBM strategy. Presented by Andrew Warzecha, VP Strategy for IBM Software Group, and Arthur Fontaine, Program Director in Business & Technical Strategy group at IBM Collaboration Solutions.
Big Data for beginners, the main points you need to know. Simple answers to: What is Big Data? What are the benefits of Big Data? What is the future of Big Data?
Back in 2006 we couldn’t have imagined the tools, campaigns, platforms and memes that would rise (and fall) in the next 10 years. Mike will take a sideways look at the trends and insights we expect from the next 10 years and beyond.
Whitepaper: Thriving in the Big Data era Manage Data before Data Manages you Intellectyx Inc
Paper Overview -
Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone.
Data comes from everywhere and we are generating data more than ever before.
This white paper will explain what Big Data is and provide practical examples, concluding with a message how to put data your data to work.
A Review of Big data for Social Policy Decision Making Ridi Fe
This presentation is presented on ICSC 2018 at University Club - Universitas Gadjah Mada. it discusses how big data and cloud computing enhance social policy decision making. this research is supported by Microsoft Innovation Center UGM
BIG Data & Hadoop Applications in Social MediaSkillspeed
Explore the applications of BIG Data & Hadoop in Social Media via Skillspeed.
BIG Data & Hadoop in Social Media is a key differentiator, especially in terms of generating memorable customer experiences.
Herein, we discuss how leading social networks such as Facebook, Twitter, Pinterest, LinkedIN, Instagram & Stumble Upon utilize Hadoop.
To get more details regarding BIG Data & Hadoop, please visit - www.SkillSpeed.com
Small data vs. Big data : back to the basicsAhmed Banafa
Small data is data in a volume and format that makes it accessible, informative and actionable.
The Small Data Group offers the following explanation:
Small data connects people with timely, meaningful insights (derived from big data and/or “local” sources), organized and packaged – often visually – to be accessible, understandable, and actionable for everyday tasks.
3 Mitos de Big Data revelados
Uno. Sobre el tamaño de datos: el verdadero valor está en cómo utilizamos los datos, no la cantidad de datos que tenemos.
Dos. Todas las personas necesitan acceder a la información de manera fácil y rápida. Para resolver esta necesidad requerimos alguien especializado en datos (un Data Scientist)
Tres. Existen lo que se denomina "framework de software" especiales como Hadoop. Es un sistema bueno, pero generalmente necesitamos unir información de fuentes dispares que se encuentra dispersa.
Fundamentals of Big Data in 2 minutes!!Simplify360
In today’s world where information is increasing every second, BIG DATA takes up a major role in transforming any business.
Learn the fundamentals of big data in just 2 minutes!
Is big data just a buzzword -Big data simply explainedVivek Srivastava
Big data helps us to uncover and discover those facets of data which we are not aware of . Using predictive science it helps us to provide insights on which actions can be taken and suggests those actions which will impact the business significantly boosting the revenue or market reach.For example, using large amount of data and appropriate tools, we can categorize different strata of population and build customize products. So whether companies deploy it or not, all depends on what factor constitute the value of company and where the center of value creation lies. It may be money or it may be geographic reach. - Watch this video at https://www.youtube.com/watch?v=ELyOl0fkqNM
Notes from the Observation Deck // A Data Revolution gngeorge
Notes from the Observation Deck will provide you with an examined look at the interesting phenomena and trends taking place around us today. We present them to you with the hope of sparking broader conversations, debates and ideas. Please use this as a resource for knowledge, inspiration and enjoyment.
This Presentation is completely on Big Data Analytics and Explaining in detail with its 3 Key Characteristics including Why and Where this can be used and how it's evaluated and what kind of tools that we use to store data and how it's impacted on IT Industry with some Applications and Risk Factors
Identify and analyze the greatest insights from big dataTheInnovantes
Identify and analyze the greatest insights from big data by leveraging technologies that can effectively handle the growing volume, velocity, and variety of data.
According to Gartner, Big Data will be the next “disruptive technology” and will transform customer relationship management industry.The possibilities that Big Data offers are endless but companies first need to invest in CRM software
EDF2013 - Richard Benjamins: Big Data – Big opportunities – Big risks? And ...European Data Forum
Keynote talk of Richard Benjamins, Director of Business Intelligence at Telefonica Digital, at the European Data Forum 2013, 9 April 2013 in Dublin, Ireland: Big Data - Big Opportunities - Big Risks? And what about Europe?
-Enrichment - Unlocking the value of data for digital transformation - Big Da...webwinkelvakdag
As pressure for digital transformation increases, companies must harness big data more effectively. But the well-known V’s of data—volume, variety, velocity—represent both opportunities and challenges. Data enrichment enables organizations to take full advantage of the benefits while addressing these typical problems. In this session, we look at what an enrichment workflow might look like and how it enhances data’s value across different use cases.
Abstract:
Big Data concern large-volume, complex, growing data sets with multiple, autonomous sources. With the fast development of networking, data storage, and the data collection capacity, Big Data are now rapidly expanding in all science and engineering domains, including physical, biological and biomedical sciences. This paper presents a HACE theorem that characterizes the features of the Big Data revolution, and proposes a Big Data processing model, from the data mining perspective. This data-driven model involves demand-driven aggregation of information sources, mining and analysis, user interest modeling, and security and privacy considerations. We analyze the challenging issues in the data-driven model and also in the Big Data revolution.
From Paris Hilton to Walmart: welcome to the Big Data RevolutionWilliam Visterin
Presentatie op het CPBB Convention van BNP. De presentatie bleek een van de drukst bijgewoonde van de hele conventie. Big data op een erg toegankelijke manier.
The term ‘data’ here may refer to facts or figures from both traditional and digital sources – it could be online interactions on social media platforms, or even product transaction information at a retail store.
What is big data ? | Big Data ApplicationsShilpaKrishna6
Big data is similar to ‘small data’ but bigger in size. It is a term that describes the large volume of data both structured and unstructured. Big data generates value from the storage and processing of very large quantities of digital information that cannot be analyzed with traditional computing techniques
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Accelerate your Kubernetes clusters with Varnish CachingThijs Feryn
A presentation about the usage and availability of Varnish on Kubernetes. This talk explores the capabilities of Varnish caching and shows how to use the Varnish Helm chart to deploy it to Kubernetes.
This presentation was delivered at K8SUG Singapore. See https://feryn.eu/presentations/accelerate-your-kubernetes-clusters-with-varnish-caching-k8sug-singapore-28-2024 for more details.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
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Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Encryption in Microsoft 365 - ExpertsLive Netherlands 2024Albert Hoitingh
In this session I delve into the encryption technology used in Microsoft 365 and Microsoft Purview. Including the concepts of Customer Key and Double Key Encryption.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
10. Because of this change more data than ever before is now being
generated, collected and warehoused.
Ecommerce
Offline
Website
Purchase
Social
Location
Network
Mobile Search
11. #bigdata is a popular term used to describe this exponential
growth in availability and use of information.
12. Simply put: Everything is now on the Internet. The Internet has a
lot of data. Therefore, everything is Big Data.
20. Three Big Data realizations.
Harnessing and
The issue is not
using relevant
that you are It's what you do
data to make
acquiring large with your Big
better decisions
amounts of data. Data that
is key. This is the
You definitely matters.
vision for Big
have Big Data.
Data.
30. Technology platforms allow you to make Big Data useful.
Classification
•Organize data
so you can use
it
Data mining
•Create
actionable
insight
31. How we use Big Data at Mindshare.
CRM (Customer RTB (Real Time
Relationship Bidding)
Management) • Programmatic ad buying
• Mine CRM programs for with our DSP to ensure
insights that increase right person, right price,
audience understanding right time - ultimately
and drive new products, most buying in $700bn
strategies or campaigns media industry moves to
this model
RTC (Real Time RTE (Real Time
Commerce) Experience)
• Send tailored • Creative optimization of
recommendations to digital platforms to
mobile devices at just the ensure the right ad, or
right time, while the right content, for the
customers are in the right person at the right
right location to take time
advantage of offers
32. Why is Big Data not bigger in Asia?
Undeveloped
data
ecosystem
Low market
understanding
Lack of DMP
technology