Murthy Mathiprakasam, Principal Product Marketing Manager at Informatica, shares how to power your analytics with great data from the 2015 Informatica Government Summit.
Big Data kennen sehr viele IT-Experten, wenigstens haben Sie eine Vorstellung davon. In der Praxis arbeiten damit in Deutschland derzeit nur wenige. Dabei bringt Big Data ein ganz neues Momentum in moderne Softwarelösungen und ist im Kontext der Mobil-, Cloud- und Social-Veränderungen nicht wegzudenken. Big Data macht Software intelligent und damit auf eine ganz neue Art für die Benutzer erlebbar. Mit Big Data entstehen neue Softwarearchitekturen, weil Informationen völlig anders verarbeitet werden - nämlich schneller, differenzierter und oft mit dem Ziel, Schlüsse zu ziehen und Vorhersagen zu treffen.
In diesem Vortrag wird erläutert, wie moderne Softwarearchitekturen gestaltet werden, sodass Sie Big Data Paradigmen erfolgreich umsetzen und welche Vorteile sich für die zunehmend mobilen Softwarelösungen ergeben. Wir werfen zudem einen Blick auf die Potentiale und Optionen in Branchen wie Banken, Versicherung oder Handel.
The Data Lake and Getting Buisnesses the Big Data Insights They NeedDunn Solutions Group
Do terms like "Data Lake" confuse you? You’re not alone. With all of the technology buzzwords flying around today, it can become a task to keep up with and clearly understand each of them. However a data lake is definitely something to dedicate the time to understand. Leveraging data lake technology, companies are finally able to keep all of their disparate information and streams of data in one secure location ready for consumption at any time – this includes structured, unstructured, and semi-structured data. For more information on our Big Data Consulting Services, don’t hesitate to visit us online at: http://bit.ly/2fvV5rR
Top Big data Analytics tools: Emerging trends and Best practicesSpringPeople
For many IT experts, big data analytics tools and technologies are now a top priority. Let's find out the top big data analytics tools in this slide to initialize and advance the process of big data analysis.
Protecting data privacy in analytics and machine learning ISACA London UKUlf Mattsson
ISACA London Chapter webinar, Feb 16th 2021
Topic: “Protecting Data Privacy in Analytics and Machine Learning”
Abstract:
In this session, we will discuss a range of new emerging technologies for privacy and confidentiality in machine learning and data analytics. We will discuss how to put these technologies to work for databases and other data sources.
When we think about developing AI responsibly, there’s many different activities that we need to think about.
This session also discusses international standards and emerging privacy-enhanced computation techniques, secure multiparty computation, zero trust, cloud and trusted execution environments. We will discuss the “why, what, and how” of techniques for privacy preserving computing.
We will review how different industries are taking opportunity of these privacy preserving techniques. A retail company used secure multi-party computation to be able to respect user privacy and specific regulations and allow the retailer to gain insights while protecting the organization’s IP. Secure data-sharing is used by a healthcare organization to protect the privacy of individuals and they also store and search on encrypted medical data in cloud.
We will also review the benefits of secure data-sharing for financial institutions including a large bank that wanted to broaden access to its data lake without compromising data privacy but preserving the data’s analytical quality for machine learning purposes.
Big Data kennen sehr viele IT-Experten, wenigstens haben Sie eine Vorstellung davon. In der Praxis arbeiten damit in Deutschland derzeit nur wenige. Dabei bringt Big Data ein ganz neues Momentum in moderne Softwarelösungen und ist im Kontext der Mobil-, Cloud- und Social-Veränderungen nicht wegzudenken. Big Data macht Software intelligent und damit auf eine ganz neue Art für die Benutzer erlebbar. Mit Big Data entstehen neue Softwarearchitekturen, weil Informationen völlig anders verarbeitet werden - nämlich schneller, differenzierter und oft mit dem Ziel, Schlüsse zu ziehen und Vorhersagen zu treffen.
In diesem Vortrag wird erläutert, wie moderne Softwarearchitekturen gestaltet werden, sodass Sie Big Data Paradigmen erfolgreich umsetzen und welche Vorteile sich für die zunehmend mobilen Softwarelösungen ergeben. Wir werfen zudem einen Blick auf die Potentiale und Optionen in Branchen wie Banken, Versicherung oder Handel.
The Data Lake and Getting Buisnesses the Big Data Insights They NeedDunn Solutions Group
Do terms like "Data Lake" confuse you? You’re not alone. With all of the technology buzzwords flying around today, it can become a task to keep up with and clearly understand each of them. However a data lake is definitely something to dedicate the time to understand. Leveraging data lake technology, companies are finally able to keep all of their disparate information and streams of data in one secure location ready for consumption at any time – this includes structured, unstructured, and semi-structured data. For more information on our Big Data Consulting Services, don’t hesitate to visit us online at: http://bit.ly/2fvV5rR
Top Big data Analytics tools: Emerging trends and Best practicesSpringPeople
For many IT experts, big data analytics tools and technologies are now a top priority. Let's find out the top big data analytics tools in this slide to initialize and advance the process of big data analysis.
Protecting data privacy in analytics and machine learning ISACA London UKUlf Mattsson
ISACA London Chapter webinar, Feb 16th 2021
Topic: “Protecting Data Privacy in Analytics and Machine Learning”
Abstract:
In this session, we will discuss a range of new emerging technologies for privacy and confidentiality in machine learning and data analytics. We will discuss how to put these technologies to work for databases and other data sources.
When we think about developing AI responsibly, there’s many different activities that we need to think about.
This session also discusses international standards and emerging privacy-enhanced computation techniques, secure multiparty computation, zero trust, cloud and trusted execution environments. We will discuss the “why, what, and how” of techniques for privacy preserving computing.
We will review how different industries are taking opportunity of these privacy preserving techniques. A retail company used secure multi-party computation to be able to respect user privacy and specific regulations and allow the retailer to gain insights while protecting the organization’s IP. Secure data-sharing is used by a healthcare organization to protect the privacy of individuals and they also store and search on encrypted medical data in cloud.
We will also review the benefits of secure data-sharing for financial institutions including a large bank that wanted to broaden access to its data lake without compromising data privacy but preserving the data’s analytical quality for machine learning purposes.
Class lecture by Prof. Raj Jain on Big Data. The talk covers Why Big Data Now?, Big Data Applications, ACID Requirements, Terminology, Google File System, BigTable, MapReduce, MapReduce Optimization, Story of Hadoop, Hadoop, Apache Hadoop Tools, Apache Other Big Data Tools, Other Big Data Tools, Analytics, Types of Databases, Relational Databases and SQL, Non-relational Databases, NewSQL Databases, Columnar Databases. Video recording available in YouTube.
This article useful for anyone who want to introduce with Big Data and how oracle architecture Big Data solution using Oracle Big Data Cloud solutions .
A high level overview of common Cassandra use cases, adoption reasons, BigData trends, DataStax Enterprise and the future of BigData given at the 7th Advanced Computing Conference in Seoul, South Korea
Mastering MapReduce: MapReduce for Big Data Management and AnalysisTeradata Aster
Whether you’ve heard of Google’s MapReduce or not, its impact on Big Data applications, data warehousing, ETL,
business intelligence, and data mining is re-shaping the market for business analytics and data processing.
Attend this session to hear from Curt Monash on the basics of the MapReduce framework, how it is used, and what implementations like SQL-MapReduce enable.
In this session you will learn:
* The basics of MapReduce, key use cases, and what SQL-MapReduce adds
* Which industries and applications are heavily using MapReduce
* Recommendations for integrating MapReduce in your own BI, Data Warehousing environment
Big data is one of the most popular terms in the IT industry during the past decade. The word is vague and broad enough that essentially every one of us is living in a big-data world. Every time you do a google search, like a post in Facebook, write something in WeChat or view some item on Amazon, you both use and contribute to someone's big data system. Managing so much data across many computers introduce unique challenges. In this talk, we review the landscape of big data platforms and discuss some lessons we learned from building them.
Guest Speaker in the 2nd National level webinar titled "Big Data Driven Solutions to Combat Covid 19" on 4th July 2020, Ethiraj College for Women(Auto), Chennai.
8.17.11 big data and hadoop with informatica slideshareJulianna DeLua
This presentation provides a briefing on Big Data and Hadoop and how Informatica's Big Data Integration plays a role to empower the data-centric enterprise.
Thwart Fraud Using Graph-Enhanced Machine Learning and AINeo4j
Fraudsters are becoming increasingly sophisticated, organized and adaptive; traditional, rule-based solutions are not broad or nimble enough to deal with this reality. This session will cover several demonstrations and real-world technical examples including preventing credit card fraud, identifying money laundering and reducing false positives.
LEARN ABOUT:
- Reference Architecture – See a framework for building intelligent applications that can sense and respond to increasingly complex fraud attempts.
- Boosting machine learning – Find out how you can combine machine learning with graph technology to improve predictive lift
- Graph algorithms – Hear an overview of algorithms to get started with and uses for fraud analysis
Suresh Menon, Vice President, Product Management - Information Quality Solutions at Informatica, shares how to master your data and your business from the 2015 Informatica Government Summit.
Class lecture by Prof. Raj Jain on Big Data. The talk covers Why Big Data Now?, Big Data Applications, ACID Requirements, Terminology, Google File System, BigTable, MapReduce, MapReduce Optimization, Story of Hadoop, Hadoop, Apache Hadoop Tools, Apache Other Big Data Tools, Other Big Data Tools, Analytics, Types of Databases, Relational Databases and SQL, Non-relational Databases, NewSQL Databases, Columnar Databases. Video recording available in YouTube.
This article useful for anyone who want to introduce with Big Data and how oracle architecture Big Data solution using Oracle Big Data Cloud solutions .
A high level overview of common Cassandra use cases, adoption reasons, BigData trends, DataStax Enterprise and the future of BigData given at the 7th Advanced Computing Conference in Seoul, South Korea
Mastering MapReduce: MapReduce for Big Data Management and AnalysisTeradata Aster
Whether you’ve heard of Google’s MapReduce or not, its impact on Big Data applications, data warehousing, ETL,
business intelligence, and data mining is re-shaping the market for business analytics and data processing.
Attend this session to hear from Curt Monash on the basics of the MapReduce framework, how it is used, and what implementations like SQL-MapReduce enable.
In this session you will learn:
* The basics of MapReduce, key use cases, and what SQL-MapReduce adds
* Which industries and applications are heavily using MapReduce
* Recommendations for integrating MapReduce in your own BI, Data Warehousing environment
Big data is one of the most popular terms in the IT industry during the past decade. The word is vague and broad enough that essentially every one of us is living in a big-data world. Every time you do a google search, like a post in Facebook, write something in WeChat or view some item on Amazon, you both use and contribute to someone's big data system. Managing so much data across many computers introduce unique challenges. In this talk, we review the landscape of big data platforms and discuss some lessons we learned from building them.
Guest Speaker in the 2nd National level webinar titled "Big Data Driven Solutions to Combat Covid 19" on 4th July 2020, Ethiraj College for Women(Auto), Chennai.
8.17.11 big data and hadoop with informatica slideshareJulianna DeLua
This presentation provides a briefing on Big Data and Hadoop and how Informatica's Big Data Integration plays a role to empower the data-centric enterprise.
Thwart Fraud Using Graph-Enhanced Machine Learning and AINeo4j
Fraudsters are becoming increasingly sophisticated, organized and adaptive; traditional, rule-based solutions are not broad or nimble enough to deal with this reality. This session will cover several demonstrations and real-world technical examples including preventing credit card fraud, identifying money laundering and reducing false positives.
LEARN ABOUT:
- Reference Architecture – See a framework for building intelligent applications that can sense and respond to increasingly complex fraud attempts.
- Boosting machine learning – Find out how you can combine machine learning with graph technology to improve predictive lift
- Graph algorithms – Hear an overview of algorithms to get started with and uses for fraud analysis
Suresh Menon, Vice President, Product Management - Information Quality Solutions at Informatica, shares how to master your data and your business from the 2015 Informatica Government Summit.
Global space congress 2017 - German Orbital Systems Presentation.
Decription of German Orbital Systems approach to innovative cost-efficient space missions.
Thi presentation is about -
SSL Concepts,
Configure SSL between IHS and WAS,
The ikeyman tool,
For more details visit -
http://vibranttechnologies.co.in/websphere-classes-in-mumbai.html
GTRI Splunk Case Studies - Splunk Tech DayZivaro Inc
Use cases of GTRI clients who use Splunk Enterprise. Presented at GTRI's Splunk Tech Day, December 8, 2015.
Visit http://www.gtri.com/ for more information.
The power of infographics
In the digital age, content spreads like wildfire. But the smartest content lends itself to easy comprehension and increased sharing. With 60 percent of the population classified as visual learners, incorporating graphic elements into your web content will boost your readership and traffic.
Studies show that our brains process images 60,000 times faster than text. It’s no surprise then that social media posts with an album or photo generate up to 180 percent more engagement than those without.
Infographics, in particular, are on the rise as an effective way to share data-heavy information. Google Trends research shows skyrocketing search interest for infographic-related topics in the past few years.
Take advantage of worldwide infographic interest by incorporating them into your brand’s marketing! Why use infographics? I’ll show you.
Writing for Impact is a three-day science communications course organised by Ninad Bondre and Owen Gaffney. The first course took place in Nepal, February 2015.
25 environmental economists in the SANDEE (South Asia Network for Development and Environmental Economics) network participated.
Transcript of World Wide Technology (WWT) TEC37 webinar focused on customer experience for retail, including guest panelist, Willis Hill, VP Retail Information Technology for Caleres, Inc. (Famous Footwear). In this TEC37 session, Hill discussed how his company is transforming their IT operations to align to the business and empower an omni-channel customer experience driven by technology. WWT panelists Matt Sebek, business development director of WWT Asynchrony Labs; Tim Brooks, a principal consultant with WWT’s Big Data Practice focused on retail; and Neil Anderson, WWT’s mobility and access lead also covered the role mobility, analytics and mobile application development can play to help stay in front of the competition.
The Kentico Online Marketing solution simplifies sophisticated digital marketing. The system provides an amazing out of the box feature set. But what if you need to integrate or customize the Kentico feature set? Attend this webinar, hosted by Kentico MVP Brian McKeiver, to find out how.
During the Kentico EMS API deep dive session, Brian will illustrate code samples for how to customize and extend the system in an upgrade safe way utilizing the Kentico API. Attend this session to learn how to best use the Kentico EMS API.
What's covered during webinar is listed below:
The basics – What does Kentico 8.2 offer?
First steps to customize - Registering Custom Classes
Create Campaigns and Conversions Programmatically
Activity Tracking - Creating Custom Activity types
Marketing Automation - Creating Custom Steps and Actions
Important Kentico K# Macros for Scoring, Automation, and Personalization
A few quick Kentico Marketing Solution Optimizations
For more information see my blog post at http://www.mcbeev.com/Blog/August-2015/I-m-Presenting-at-the-Next-Kentico-User-Group-Webinar
By Brian McKeiver
Co-Owner @ BizStream
Kentico MVP
http://www.mcbeev.com
How Data Virtualization Puts Enterprise Machine Learning Programs into Produc...Denodo
Watch full webinar here: https://bit.ly/3offv7G
Presented at AI Live APAC
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spend most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Watch this on-demand session to learn how companies can use data virtualization to:
- Create a logical architecture to make all enterprise data available for advanced analytics exercise
- Accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- Integrate popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc.
Why Your Data Science Architecture Should Include a Data Virtualization Tool ...Denodo
Watch full webinar here: https://bit.ly/35FUn32
Presented at CDAO New Zealand
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python, and Scala put advanced techniques at the fingertips of the data scientists.
However, most architecture laid out to enable data scientists miss two key challenges:
- Data scientists spend most of their time looking for the right data and massaging it into a usable format
- Results and algorithms created by data scientists often stay out of the reach of regular data analysts and business users
Watch this session on-demand to understand how data virtualization offers an alternative to address these issues and can accelerate data acquisition and massaging. And a customer story on the use of Machine Learning with data virtualization.
Advanced Analytics and Machine Learning with Data VirtualizationDenodo
Watch: https://bit.ly/2DYsUhD
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this webinar and learn:
- How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
- How you can use the Denodo Platform with large data volumes in an efficient way
- How Prologis accelerated their use of Machine Learning with data virtualization
Advanced Analytics and Machine Learning with Data VirtualizationDenodo
Watch full webinar here: https://bit.ly/32c6TnG
Advanced data science techniques, like machine learning, have proven an extremely useful tool to derive valuable insights from existing data. Platforms like Spark, and complex libraries for R, Python and Scala put advanced techniques at the fingertips of the data scientists. However, these data scientists spent most of their time looking for the right data and massaging it into a usable format. Data virtualization offers a new alternative to address these issues in a more efficient and agile way.
Attend this webinar and learn:
- How data virtualization can accelerate data acquisition and massaging, providing the data scientist with a powerful tool to complement their practice
- How popular tools from the data science ecosystem: Spark, Python, Zeppelin, Jupyter, etc. integrate with Denodo
- How you can use the Denodo Platform with large data volumes in an efficient way
- About the success McCormick has had as a result of seasoning the Machine Learning and Blockchain Landscape with data virtualization
Hadoop 2.0: YARN to Further Optimize Data ProcessingHortonworks
Data is exponentially increasing in both types and volumes, creating opportunities for businesses. Watch this video and learn from three Big Data experts: John Kreisa, VP Strategic Marketing at Hortonworks, Imad Birouty, Director of Technical Product Marketing at Teradata and John Haddad, Senior Director of Product Marketing at Informatica.
Multiple systems are needed to exploit the variety and volume of data sources, including a flexible data repository. Learn more about:
- Apache Hadoop 2 and YARN
- Data Lakes
- Intelligent data management layers needed to manage metadata and usage patterns as well as track consumption across these data platforms.
Hot Technologies of 2013: Investigative AnalyticsInside Analysis
Dr. Robin Bloor and Philip Howard with Infobright
Live Webcast on May 29, 2013
Getting to the bottom of serious situations quickly can separate success from failure in the information economy. Whether you're dealing with customer attrition or dropped phone calls, lost sales or failed machinery, the ability to perform effective root cause analysis can offer tremendous value, especially within critical time windows. This is the domain of investigative analytics – using insights gleaned from complex data sets to identify behavioral patterns, then building predictive models that send the business on a better course.
Register for this episode of Hot Technologies to hear veteran Analysts Dr. Robin Bloor of The Bloor Group and Philip Howard of Bloor Research, as they articulate their vision of what you need to utilize investigative analytics. They'll be briefed by Don DeLoach, who will discuss the Infobright solution's ability to analyze large amounts of data quickly and flexibly, thus enabling the kind of root cause analysis that can solve business issues as they arise. Infobright will focus on how their technology is designed to help businesses harness and gain insight from their machine-generated data, which is increasingly generated by instrumentation, aka the Internet of Things.
Accelerating Data Lakes and Streams with Real-time AnalyticsArcadia Data
As organizations modernize their data and analytics platforms, the data lake concept has gained momentum as a shared enterprise resource for supporting insights across multiple lines of business. The perception is that data lakes are vast, slow-moving bodies of data, but innovations like Apache Kafka for streaming-first architectures put real-time data flows at the forefront. Combining real-time alerts and fast-moving data with rich historical analysis lets you respond quickly to changing business conditions with powerful data lake analytics to make smarter decisions.
Join this complimentary webinar with industry experts from 451 Research and Arcadia Data who will discuss:
- Business requirements for combining real-time streaming and ad hoc visual analytics.
- Innovations in real-time analytics using tools like Confluent’s KSQL.
- Machine-assisted visualization to guide business analysts to faster insights.
- Elevating user concurrency and analytic performance on data lakes.
- Applications in cybersecurity, regulatory compliance, and predictive maintenance on manufacturing equipment all benefit from streaming visualizations.
Building Confidence in Big Data - IBM Smarter Business 2013 IBM Sverige
Success with big data comes down to confidence. Without confidence in the underlying data, decision makers may not trust and act on analytic insight. You need confidence in your data – that it’s correct, trusted, and protected through automated integration, visual context, and agile governance. You need confidence in your ability to accelerate time to value, with fast deployments of big data appliances. Learn how clients have succeeded with big data by building confidence in their data, ability to deploy, and skills. Presenter: David Corrigan, Big Data specialist, IBM. Mer från dagen på http://bit.ly/sb13se
Data Lakes are early in the Gartner hype cycle, but companies are getting value from their cloud-based data lake deployments. Break through the confusion between data lakes and data warehouses and seek out the most appropriate use cases for your big data lakes.
Innovation med big data – chr. hansens erfaringerMicrosoft
Mange steder er Big Data stadig det nye og ukendte, der ikke har topprioritet hos IT, da ”vi ikke har store datamængder”. Men Big Data er meget mere end store datamængder. I Chr. Hansen A/S har Forskning og Udvikling (Innovation) afdelingen arbejdet med værdien af data og som resultat etableret et tværfagligt BioInformatik-program på Big Data teknologier fra Microsoft.
Similar to Decision Ready Data: Power Your Analytics with Great Data (20)
Cross Domain Solutions for SolarWinds from Sterling ComputersDLT Solutions
Ed Bender, Senior Federal SE Manager, SolarWinds, and Ben Chernicoff, Software Architect, Sterling Computers, present how Sterling’s technology partnership with SolarWinds addresses issues through specialized cross domain products and solutions that enable users to access information across multiple domains, while still ensuring fidelity of information within the appropriate classification level.
Don Maclean, Chief Cybersecurity Technologist, DLT Solutions, and Mav Turner, IT Security Business Unit, SolarWinds, share the most important things you can do to keep your networks and data safe, and what tools are available to help.
Symantec and ForeScout Delivering a Unified Cyber Security SolutionDLT Solutions
Tom Blauvelt from Symantec and Sean Telles and Chris Dullea from ForeScout share how both companies together can deliver a unified cyber security solution.
Deploying and Managing Red Hat Enterprise Linux in Amazon Web ServicesDLT Solutions
The Federal Cloud First policy mandates that agencies take full advantage of cloud computing benefits to maximize capacity utilization, improve IT flexibility and responsiveness, and minimize cost. But how can you safely and reliably begin to deploy and manage your Red Hat instances at cloud scale? With IT automation, you can more easily deploy and manage your Red Hat instances in the Amazon Web Services (AWS) public cloud.
In this webinar, we’ll demonstrate how to:
Automate the creation of Red Hat Enterprise Linux-based AWS instances
Apply a security baseline to the instances
Deploy and manage an application
Regardless of where you are in the cloud adoption process, leveraging IT automation can help smooth the transition to the cloud. Join the webinar to learn how.
T.J. Meehan, AIA, LEED AP / Vice President of Professional Services, shares how to implement BIM for owners from the Government Solutions Breakfast hosted by DLT Solutions and CADD Microsystems.
Autodesk Infrastructure Solutions for Government AgenciesDLT Solutions
Donnie Gladfelter, Technical Product and Online Manager, shares Autodesk infrastructure solutions for government agencies from the Government Solutions Breakfast hosted by DLT Solutions and CADD Microsystems.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
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/
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
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
Connector Corner: Automate dynamic content and events by pushing a buttonDianaGray10
Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to:
Create a campaign using Mailchimp with merge tags/fields
Send an interactive Slack channel message (using buttons)
Have the message received by managers and peers along with a test email for review
But there’s more:
In a second workflow supporting the same use case, you’ll see:
Your campaign sent to target colleagues for approval
If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team
But—if the “Reject” button is pushed, colleagues will be alerted via Slack message
Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors.
And...
Speakers:
Akshay Agnihotri, Product Manager
Charlie Greenberg, Host
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
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.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
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.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
5. CIOs See Competitive Advantage in Analytics
BUT More than half
of analytics projects
fail
Gartner
Analytics is the top
priority for CIOs
again in 2015
Gartner
CIO Investment Priority
6. New Data Sources Enable New Insights
6
In the era of Big Interaction Data, unprecedented
insights are available from analyzing new data sources
SENSORS METERS LOGS
BADGES WEARABLES MOBILE
7. Cloud
New Data Platforms
Big DataTraditional /
Real Time
New Visualization Tools
New Platforms Enable New Analytical Capabilities
8. But Data Is Fragmented As Data Sources Proliferate
8
Data
Warehouse
Transactional
Applications
CRM ERP HR FIN
Big
Data
Unstructured
Semi-Structured
Real-time
Events
Mainframe
Systems
Cloud, Social,
Partner Data
Enterprise
Applications
9. It’s Difficult to Trust All Of The Available Data
9
John Smith
11710 Plaza Drive
Reston, VA ______
(___)-___-____
Incomplete
DATASETS THAT
ARE NOT ACCURATE
Jonathan Smith
John Smith
John H Smith
Inconsistent
DATASETS THAT
ARE NOT STANDARDIZED
Insecure
DATASETS THAT
ARE NOT MASKED
jsmith@yahoo.com
703-844-1212
TAYwRG@zcqee.Qew
194-366-5858
vs
10. Data Has Not Kept Up With The Pace of Business
10
Up to 80%
ANALYST TIME SPENT ON
DATA PREPARATION
Untimely Delivery
OF DATA INHIBITS
AGILE, REAL-TIME DECISIONS
11. Analytics Is Costly & Complex To Deliver Today
11
Can’t Re-Use
EXISTING SKILLS
WHEN PLATFORMS
CHANGE
Can’t Re-Use
EXISTING PROCESSES
TO DRIVE SCALABILITY
AND REPEATABILITY
12. As A Result, Decisions Suffer and People Suffer Impact
12
Can’t make comprehensive decisions
based on all of the available data
Can’t make accurate decisions based on
high quality and secure data
Can’t make timely decisions based on
fresh and up-to-date data
Can’t operationalize data delivery to
fuel decisions repeatably and scalably
13. What Is Needed: Faster, Better, Less Costly Analytics
Insights That
Are Timely
Data That
Can Be
Trusted
Simple,
Standardized,
Scalable
Delivery
15. Imagine If You Could Put More Data To Use
15
Word, Excel
PDF
StarOffice
Email, LDAP
Oracle
DB2
SQL Server
Sybase
Informix
Teradata
Netezza
ODBC/JDBC
Flat files
HTTP/HTML
RPG
ANSI
AST
FIX
SWIFT
MVR
SAP NetWeaver
SAP NetWeaver BI
SAS
Siebel
JD Edwards
Lotus Notes
Oracle E-Business
PeopleSoft
EDI–X12
EDI-Fact
RosettaNet
HL7/HIPAA
XML
LegalXML
IFX
cXML
Salesforce
RightNow
NetSuite
Oracle OnDemand
Facebook
Twitter
LinkedIn
Datasift
ebXML
HL7 v3.0
ACORD
100+
PRE-BUILT PARSERS
200+
PRE-BUILT CONNECTORS
Out of the Box
BUSINESS RULES AND
DATA STANDARDIZATION
Sample of Compatible Data Types and Sources
16. Imagine If You Could Stream Data At High Speeds
REFINE
INGEST
Profile, Parse, Cleanse, Match
Stream
STORE
ACT
Complex Event Processing
NoSQL Databases
LAN/WAN SCALE
STREAMING COLLECTION
CENTRALIZED MANAGEMENT
OF DISTRIBUTED COLLECTION
REAL-TIME INGESTION OF
REAL-TIME DATA FOR
REAL-TIME RESPONSE
SOURCE
Transactional
Data
Interaction
Data
Sensor/Device
Data
Documents/
Files
Industry
Formats
17. Imagine If You Could Easily Adopt New Platforms
17
400%
FASTER MIGRATION TO
NEW PLATFORMS
500%
FASTER PERFORMANCE ON
DATA PREPARATION
0%
REWRITING OF DATA
PREPARATION JOBS
18. 18
Imagine If You Could Easily Adopt Hadoop
REFINE WAREHOUSE
Profile, Parse, Cleanse, Match
Offload infrequently
used data for
active archiving
Offload ETL/ELT for
efficient processing
Reuse existing skills
and processes
19. Imagine If You Could Develop And Staff More Quickly
19
Hadoop
Developers
Informatica
Developers
100,000+
TRAINED DEVELOPERS
WORLDWIDE
500%
MORE PRODUCTIVE
THAN HAND-CODING
0%
RISK OF REWRITING
OUTDATED CODE
20. 20
Imagine If You Could Understand Your Data
“Contact
Bill.Harison@gmail.com
for more information
about #AAPL and
#GOOG”
Person: William Harrison
Company: Apple, Inc
Company: Google
EXTRACT ENTITIES
WITH NATURAL
LANGUAGE PROCESSING
ENRICH DATASETS
WITH ADDRESS VALIDATION
AND GEOCODING
MATCH AND STANDARDIZE
FOR DATA QUALITY
AND DATA MASTERING
21. 21
Imagine If You Could Protect Your Data
PHI: Protected Health Information
PII: Personally Identifiable Information
Scalable to look for/discover ANY Domain type
ANALYZE STRUCTURE
OF DATA WITH BUILT-IN
DATA PROFILING
ISOLATE BAD DATA QUICKLY
WITH PROFILING STATISTICS
UNDERSTAND MEANING
AND CONTEXT OF DATA
IDENTITY SENSITIVE DATA
WITH DATA DOMAIN REPORTS
22. Imagine If You Could Provide Virtual Access…
CANONICAL DATA MODEL
PRODUCT …CUSTOMER ORDER
SOURCE
VIRTUALIZE
ANALYZE ACCESS & MERGE
DATASETS USING
VIRTUAL TABLES
PREPARE IN REAL-TIME
WITH COMMON METADATA
REPOSITORY
Transactional
Data
Interaction
Data
Sensor/Device
Data
Documents/
Files
Industry
Formats
Business
Intelligence
Agile
Visualization
23. …Or Broker Physical Provisioning Automatically
SOURCE
Transactional
Data
Interaction
Data
Sensor/Device
Data
Documents/
Files
Industry
Formats
BROKER
ANALYZE
Business
Intelligence
Agile
Visualization
LOOSER COUPLING
BETWEEN SOURCE SYSTEMS
AND DESTINATION SYSTEMS
FASTER PROVISIONING
OF DATA TO DISTRIBUTED
CONSUMERSIntegration
Hub
24. Informatica Delivers Great Data For Any Initiative
Access Any
Data / Any
Volume
Faster Data
Onboarding
• Integrate
• Load
• Transform
• Cleanse
• Master
Offload Data
and
Processing
Batch
Deliver More
Trusted Data
Data
Warehouse
• Prepare
• Analyze
• Profile
• Cleanse
Offload to High
Performance
Storage
Realtime
Storage
X
26. #1) Define The Mission Of Your Journey
26
Identify
The
Data
Select
The
Consumers
Establish
The
Goal
27. #2) Deploy Leverage At Every Step
27
Leverage
Existing
Centers Of
Excellence
Leverage
Lightweight
Standards &
Processes
Leverage
Technology
for Scale and
Repeatability
28. #3) Deliver With Partners For Maximum Success
28
…
Strong Partner Ecosystem
• FREE 2 Hour Workshop
• DW Optimization
Assessment
• Readiness Assessment
Proven Methodology
Data Integration Data Quality
Cloud Data Integration Data Archiving
Market Leading Platform
29. 29
Great
Transportation
Aspiration: Florida
Turnpike sought to
improve emergency
preparedness and improve
the prepaid toll program
Challenge: Data
collection took over one
month leading to faulty
analytics
Outcome: “Timely and
accurate traffic, revenue,
and participation reports
help management make
good choices that will
eventually result in saving
money.”
— Bob Hartmann, IT
Director, Florida Turnpike
Enterprise
30. 30
Great
Environment
Aspiration: US Geological
Service sought to improve
the quality of water in the
United States
Challenge: Collect
distributed data and build
a centralized water quality
dataset
Outcome: “We chose
Informatica as our data
integration solution
because of its maturity,
wide range of features,
ease of use and industrial
strength, integrated
architecture.”
— Harry House, Data
Warehouse Practice
Leader, USGS
31. 31
Great
Education
Aspiration: Rochester
Institute of Technology
sought to understand how it
could improve student
enrollment, student housing,
and student retention
Challenge: Data was in
disparate systems
Outcome: “We're becoming
myth busters. Informatica
provides timely, accurate
information we need to spot
trends, improve the quality of
our academic learning, and
reduce attrition.”
— Kim Sowers, Director of
Application Development,
Rochester Institute of
Technology
32. 32
Great
Healthcare
Aspiration: Utah Dept of
Health sought to process
healthcare claims faster
and improve public health
Challenge: Manual effort
to track and link claims
data over time
Outcome: “We see the
Informatica as absolutely
essential to everything that
we want to do, not only to
meet our mandate for the
All Payer Database,”
— Dr. Keely Cofrin Allen,
Director, Office of Health
Care Statistics, State of
Utah Department of Health
34. Across nearly any data, any data platform, any data visualization
Informatica Delivers Great Data for Great Social Impact
Cloud Big DataTraditional /
Modern
Data Sources
Data Visualization
Data Platforms