Wondering how to bring services to your clients in real time – and on their preferred device? Need to automate your financial supply chain, including risk and compliance functions, and move to a pay for performance model?
Learn about use cases from within the big data ecosystem, ranging from AML compliance, trade lifecycle, fraud detection and digital transformation, and introduce their risk data aggregation and compliance initiative. Find out how you can best leverage Open Enterprise Hadoop to achieve these goals.
Big Data in Financial Services: How to Improve Performance with Data-Driven D...Perficient, Inc.
Most banking and financial services organizations have only scratched the surface of leveraging customer data to transform their business, realize new revenue opportunities, manage risk and address customer loyalty. Yet a business’s digital footprint continues to evolve as automated payments, location-based purchases, and unstructured customer communications continue to influence the technology landscape for financial services.
In this presentation Juan M. Huerta talks about big data adoption process at Citi, realising the technical value of big data and global solutions. Huerta goes on to talk about following a hybrid approach, and the future of analytics, expensive algorithms applied to large datasets. With Citi using these approaches in hopes of getting even wider global recognition.
Protect Your Revenue Streams: Big Data & Analytics in TaxCapgemini
The game has changed since the onset of the financial crisis. Governments aiming to reduce budget deficits can only deliver so much through spending cuts. It is now even more vital that tax agencies ensure individuals and businesses pay the tax they owe, and that welfare fraud and error are minimised. Pretty will explain how he helps tax and welfare agencies tackle noncompliance, evasion and error. He will share client stories where billions of euros were saved, generating a return of at least 25 times the original investment.
By Ian Pretty,
Vice President, Global Tax & Welfare Leader
Big Data in Financial Services: How to Improve Performance with Data-Driven D...Perficient, Inc.
Most banking and financial services organizations have only scratched the surface of leveraging customer data to transform their business, realize new revenue opportunities, manage risk and address customer loyalty. Yet a business’s digital footprint continues to evolve as automated payments, location-based purchases, and unstructured customer communications continue to influence the technology landscape for financial services.
In this presentation Juan M. Huerta talks about big data adoption process at Citi, realising the technical value of big data and global solutions. Huerta goes on to talk about following a hybrid approach, and the future of analytics, expensive algorithms applied to large datasets. With Citi using these approaches in hopes of getting even wider global recognition.
Protect Your Revenue Streams: Big Data & Analytics in TaxCapgemini
The game has changed since the onset of the financial crisis. Governments aiming to reduce budget deficits can only deliver so much through spending cuts. It is now even more vital that tax agencies ensure individuals and businesses pay the tax they owe, and that welfare fraud and error are minimised. Pretty will explain how he helps tax and welfare agencies tackle noncompliance, evasion and error. He will share client stories where billions of euros were saved, generating a return of at least 25 times the original investment.
By Ian Pretty,
Vice President, Global Tax & Welfare Leader
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...Molly Alexander
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, & ML Are Transforming the Fight Against Fraud, AML & Cybersecurity -Nadeem Asghar
How optimize the usage of data to driving innovation and efficiency, focused on Brazilian banking market landscape, highlighting main trends, key challenges, leverage managed data lakes and samples of use cases.
Business Intelligence and Analytics in banking has advanced with time and has been invariably helping banks to leverage the banking data and utilize it for utmost business value. BI enables banks to manage data, gain actionable insights and make informed decisions for better profitability.
Improving the customer experience using big data customer-centric measurement...Business Over Broadway
This presentation provides an overview of some of the content of my new book, TCE: Total Customer Experience. In the presentation, I discuss customer experience management, customer loyalty, the optimal customer survey, the value of analytics and using a Big Data customer-centric approach to improve the value of all your business data
IBM Solutions Connect 2013 - Getting started with Big DataIBM Software India
You've heard of Big Data for sure. But what are the implications of this for your organisation? Can your organisation leverage Big Data too? If you decide to go ahead with your Big Data implementation where do you start? If these questions sound familiar to you then you've stumbled upon the right presentation. Go through the presentation to:
a. Learn more on Big data
b. How Big data can help you outperform in your marketplace.
c. How to proactively manage security and risk
d. How to create IT agility to underpin the business
Also, learn about IBM's superior Big Data technologies and how they are helping today's organisations take smarter decisions and actions.
Presented by Reto Cavegn at the 4th meeting: We would like to present IBM's view on BigData, what the market is requiring, and what products and strategies are evolved out of this requirements. Futher, we will present some reference projects to show, on what use cases customers are working today and what challanges our customers try to solve with BigData. Let me round up with some challenges and lessons we have learned.
BI & Big data use case for banking - by rully feranataRully Feranata
Big Data and all about its business case in banking industry - how it will change the landscape and how it can be harness in order organization to stay ahead of the game
A brief overview of the use of big data analytics in retail banking. This basic material is an introduction to the video training series: Retail Banking Analytics, available at briastrategy.com.
Big data is being implemented or on the mind of majority of the enterprises. Though getting into Big data is neither cheap nor a easy task. Having a step-by-step path for this journey based on experience from other implementation play a crucial role in the success of the initiative. This session provide a 7 Steps Big Data Journey for Enterprises based on past successful implementations.
FircoSoft is the recognized market leader of watch list
fi ltering solutions and is part of Accuity, the leading
provider of global payment routing data and antimoney
laundering solutions to banks and businesses
worldwide. Owned by Reed Business Information
(RBI), a division of RELX Group, Accuity’s quality
sanctions watch list data combined with FircoSoft’s
powerful transaction and customer screening
solutions will deliver exceptional risk and regulatory
protection to customers around the globe.
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...Molly Alexander
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, & ML Are Transforming the Fight Against Fraud, AML & Cybersecurity -Nadeem Asghar
How optimize the usage of data to driving innovation and efficiency, focused on Brazilian banking market landscape, highlighting main trends, key challenges, leverage managed data lakes and samples of use cases.
Business Intelligence and Analytics in banking has advanced with time and has been invariably helping banks to leverage the banking data and utilize it for utmost business value. BI enables banks to manage data, gain actionable insights and make informed decisions for better profitability.
Improving the customer experience using big data customer-centric measurement...Business Over Broadway
This presentation provides an overview of some of the content of my new book, TCE: Total Customer Experience. In the presentation, I discuss customer experience management, customer loyalty, the optimal customer survey, the value of analytics and using a Big Data customer-centric approach to improve the value of all your business data
IBM Solutions Connect 2013 - Getting started with Big DataIBM Software India
You've heard of Big Data for sure. But what are the implications of this for your organisation? Can your organisation leverage Big Data too? If you decide to go ahead with your Big Data implementation where do you start? If these questions sound familiar to you then you've stumbled upon the right presentation. Go through the presentation to:
a. Learn more on Big data
b. How Big data can help you outperform in your marketplace.
c. How to proactively manage security and risk
d. How to create IT agility to underpin the business
Also, learn about IBM's superior Big Data technologies and how they are helping today's organisations take smarter decisions and actions.
Presented by Reto Cavegn at the 4th meeting: We would like to present IBM's view on BigData, what the market is requiring, and what products and strategies are evolved out of this requirements. Futher, we will present some reference projects to show, on what use cases customers are working today and what challanges our customers try to solve with BigData. Let me round up with some challenges and lessons we have learned.
BI & Big data use case for banking - by rully feranataRully Feranata
Big Data and all about its business case in banking industry - how it will change the landscape and how it can be harness in order organization to stay ahead of the game
A brief overview of the use of big data analytics in retail banking. This basic material is an introduction to the video training series: Retail Banking Analytics, available at briastrategy.com.
Big data is being implemented or on the mind of majority of the enterprises. Though getting into Big data is neither cheap nor a easy task. Having a step-by-step path for this journey based on experience from other implementation play a crucial role in the success of the initiative. This session provide a 7 Steps Big Data Journey for Enterprises based on past successful implementations.
FircoSoft is the recognized market leader of watch list
fi ltering solutions and is part of Accuity, the leading
provider of global payment routing data and antimoney
laundering solutions to banks and businesses
worldwide. Owned by Reed Business Information
(RBI), a division of RELX Group, Accuity’s quality
sanctions watch list data combined with FircoSoft’s
powerful transaction and customer screening
solutions will deliver exceptional risk and regulatory
protection to customers around the globe.
Measuring and managing customer profitability in the big-data era. How to capitalize on the opportunity.
In today's era of Big Data and related technology, the benefits of "customer-centricity" are within our reach. Analysis of Big Data sources helps to better understand customer needs, preferences, attitudes, expectations, sentiments, and buying behavior. Yet to achieve this potential, organizations need to understand and apply the classic but essential concepts of customer profitability, customer lifetime value (CLV), and customer value management analytics. Join us for an event on how to approach this challenge.
When linked with customer profitability metrics, these insights enable more profitable decisions in product design, sales, marketing, customer care, loyalty management, and risk management. This session will help attendees capitalize on this opportunity. We will cover the classic high-impact basics of measuring and managing customer profitability, customer lifetime value (CLV), as well as how to use new Big Data insights to get more value from these efforts. This tutorial which cover the topic in 5 practical steps:
1. Introduction to Customer Profitability Analytics: What is customer profitability analysis, why is it so valuable, and what are the key concepts and methodologies used to measure customer profitability, customer lifetime value (CLV), and related metrics?
2. High-Impact Use-Cases of Customer Profitability Analytics: What are the key ways customer profitability analytics is used enhance results? We will describe the highest-value ways to use customer profitability metrics to improve business results, with concrete examples in each of the following categories:
o Customer Lifetime Value optimization ("CLV")
o Customer loyalty and retention
o Share of wallet maximization
o Marketing ROI
o Impact of Customer Service, Customer Experience, and Customer Satisfaction on Profit
o Product design, pricing, promotion, and positioning
o Allocation of resources (capital, budget, HR, etc)
o Risk management
3. How to Calculate Profitability at the Customer Level : We will walk through the algorithms you need to use to turn raw data into customer profitability metrics, and share tips on how to customize them depending on your business. Related applications will also be covered, such as how to use the same algorithms to measure profit per household, salesperson, distributor, or other entity relevant to how your business makes money.
4. Data & Tech Requirements
5. Using Big Data to Maximize ROI on Customer Analytics: What are the top 5 opportunities to use Big Data to increase the benefits achieved through customer profitability analytics and related initiatives?
Speakers: Jaime Fitzgerald, Founder and Managing Partner, Fitzgerald Analytics, and Konrad Kopczynscki, Director at Fitzgerald Analytics. Konrad and Jaime have applied customer profitability methodologies to dozens of clients.
The cognitive bank ibm launch deck 2016Charlie Chan
It's official, the traditions of the financial services business model are in stagnation…
Customer experience and engagement are not keeping pace with greater expectations of the rapidly evolving digital world
Sustainable profitability is a serious challenge for most of the global banking industry
Even more troubling is that operational efficiency is also in decline and attempts at tactical cost reduction are failing to achieve sustainable efficiencies
IBM's latest IBV study – the cognitive bank – categorises winners and losers by revenue growth and operating efficiency over the past three years. Data and managing it effectively is the primary source of sustainable competitive advantage
Winners have several traits in common:
firstly they are reorientating their business models, by establishing, expanding, and evolving their ecosystem of partners everywhere…transforming very deep and wide
Secondly, they are investing in fintechs, as partners in sustainable business models
Thirdly, becoming the cognitive bank, using the latest techniques in design thinking and agile
Outperforming banks are already on their journey towards becoming the cognitive bank. We are already partnering with them to plan the journey and charter the course
Logical Data Warehouse and Data Lakes can play a role in many different type of projects and, in this presentation, we will look at some of the most common patterns and use cases. Learn about analytical and big data patterns as well as performance considerations. Example implementations will be discussed for each pattern.
- Architectural patterns for logical data warehouse and data lakes.
- Performance considerations.
- Customer use cases and demo.
This presentation is part of the Denodo Educational Seminar, and you can watch the video here goo.gl/vycYmZ.
Core Banking Transformation: Solutions to Standardize Processes and Cut CostsIBM Banking
IBM Banking Industry Framework for Core Banking Transformation (CBTF) has many assets, tools, methods and accelerators to help banks standardize and link core processes seamlessly and reduce point-to-point interfaces to cut cost and complexity.
Capgemini Smart Analytics Solutions Platform for BankingCapgemini
Capgemini's Smart Analytics Platform for Banking is a powerful platform engine that leverages new technologies and techniques for the ingestion, collation and analysis of customer data.
For more information, please visit:
https://www.capgemini.com/banking-and-capital-markets/capgemini-smart-analytics-solutions
https://www.capgemini.com/insights-data-for-financial-services
An introduction to IBM Data Lake by Mandy Chessell CBE FREng CEng FBCS, Distinguished Engineer & Master Inventor.
Learn more about IBM Data Lake: https://ibm.biz/Bdswi9
With the proliferation of technology, banking customers are living in a connected world with their experience from other industries influencing their expectations from their financial services provider. This has led to an evolving customer-bank relationship necessitating banks to be more customer-centric by embedding themselves in customers’ lives to meet rising customer experience expectations. However, banks have been facing challenges in meeting customer expectations, as they are troubled with legacy challenges both in terms of technology and culture. This document aims to understand and analyze the trends in the banking industry that are expected to drive the dynamics of the banking ecosystem in the near future.
The path to a Modern Data Architecture in Financial ServicesHortonworks
Delivering Data-Driven Applications at the Speed of Business: Global Banking AML use case.
Chief Data Officers in financial services have unique challenges: they need to establish an effective data ecosystem under strict governance and regulatory requirements. They need to build the data-driven applications that enable risk and compliance initiatives to run efficiently. In this webinar, we will discuss the case of a global banking leader and the anti-money laundering solution they built on the data lake. With a single platform to aggregate structured and unstructured information essential to determine and document AML case disposition, they reduced mean time for case resolution by 75%. They have a roadmap for building over 150 data-driven applications on the same search-based data discovery platform so they can mitigate risks and seize opportunities, at the speed of business.
2015 02 12 talend hortonworks webinar challenges to hadoop adoptionHortonworks
Hadoop is no longer optional. Companies of all sizes are in various phases of their own Big Data journey. Whether you are just starting to explore the platform or have multiple clusters up and running, everyone is presented with a similar challenge - developing their internal skillset. Hadoop specialists are hard to find. Hand coding is too prone to error when it comes to storing, integrating or analyzing your data. However, it doesn’t need to be this difficult.
In this recorded webinar, Talend and Hortonworks help you learn how to unify all your data in Hadoop, with no specialized Big Data skills.
Find the recording here. www.talend.com/resources/webinars/challenges-to-hadoop-adoption-if-you-can-dream-it-you-can-build-it
This webinar covers: How Hadoop opens a new world of analytic applications, How to bridge the skills gap with our Big Data solutions, Experience a real-world, simple technical demo
Big Data vs. Big Risk: Real-Time Trade Surveillance in Financial MarketsArcadia Data
Who’s winning the deep forensic analysis ‘arms race’ for compliance?
Real-time trade surveillance in global financial markets has created a data tsunami.
With greater volumes of data comes greater compliance risk. CNBC reports U.S. Banks have been fined over $200B since the financial crisis. How are compliance teams fighting back to make more of the data and stay out of regulatory hot water?
Rapid response to suspect trades means compliance teams need to access and visualize trade patterns, real time and historic data, to navigate the data in depth and flag possible violations.
Join Hortonworks and Arcadia for this live webinar: we’ll cover the use case at a top 50 Global Bank who now has deep forensic analysis of trade activity. The result: interactive, ad hoc data visualization and access across multiple platforms – without limits on historic data – to detect irregularities as they happen.
Unleash the Potential of Big Data on SalesforceDreamforce
Salesforce hosts billions of customer records on Salesforce App Cloud. Making timely decisions on this invaluable data demands a new set of capabilities. From interacting with data real-time to leveraging a fluid integration with Salesforce Analytics, these capabilities are just around the corner. Join us in this roadmap session to see what the near-future of Big Data on Salesforce App Cloud looks like and how you can benefit from it. Watch the video now: https://www.youtube.com/watch?v=a-wFfdfGgvM
Salesforce and Heroku are a great combination, but most Salesforce Partners don't know how to take advantage of the combined strength of the two platforms. Join us as we share the advantages offered by the Heroku1 and Salesforce1 Platforms and how they can be combined using a variety of methods to deliver scalable solutions for a spectrum of customer needs.
How to Become an Analytics Ready Insurer - with Informatica and HortonworksHortonworks
Whether you are an insurer, reinsurer, broker or insurance service provider; everything you do is based on analytics. From underwriting to claims to agency and marketing, the smartest and most streamlined business operations at insurance companies are driven by advanced and intelligent analytics. But is your data ready? Are you an “Analytics Ready” insurer? Great analytics starts with great data management. Join us as industry experts from Informatica and Hortonworks share industry trends and best practices to show you how to become an “Analytics Ready” insurer.
Slides from joint webinar. Pivotal HAWQ, one of the world’s most advanced enterprise SQL on Hadoop technology, coupled with the Hortonworks Data Platform, the only 100% open source Apache Hadoop data platform, can turbocharge your Data Science efforts.
Together, Pivotal HAWQ and the Hortonworks Data Platform provide businesses with a Modern Data Architecture for IT transformation.
Slides from the joint webinar. Learn how Pivotal HAWQ, one of the world’s most advanced enterprise SQL on Hadoop technology, coupled with the Hortonworks Data Platform, the only 100% open source Apache Hadoop data platform, can turbocharge your Data Science efforts.
Together, Pivotal HAWQ and the Hortonworks Data Platform provide businesses with a Modern Data Architecture for IT transformation.
O2’s Financial Data Hub: going beyond IFRS compliance to support digital tran...DataWorks Summit
In order to support the new IRFS 15 global accounting standards, O2 UK needed a new reliable, robust solution that could also be used to trigger a new wave of transformational activities. The main idea was to ensure that the basics were met by building a centralized, highly reconciled financial data hub that in time could be used to support all financial and additional business reporting.
Requirements from business stakeholders were well defined where the data was to be refreshed daily with yesterday’s data being available by 9 a.m. the following day. Full data lineage must be known and reference data and business rules needed to be automated.
O2 working with its service integrator, Accenture, brought together a team to design and develop a new big data architecture. The overall solution was based on a hybrid architecture, where Big Data Open Source technologies were brought together with Ab Initio to meet the overall requirements.
The Financial Data Hub went live in August 2017 and has ensured that O2 meets its compliance obligations as well as having a hybrid big data architecture built for the future.
Speakers
Jonathan Ratcliff, Managing Enterprise Architect, Telefonica UK
Kieran Miller, Applied Intelligence - Digital Business Integration Senior Manager, Accenture
Analytics in the Cloud and the ROI for B2BVeronica Kirn
Veronica Kirn Global Market Manager presents the shift in Analytics with Jeannine Calandra providing in depth product specifics for B2B Services Reporting & Analytics. This was presented at the InterConnect event in Las Vegas, NV for Technology professionals interesting in addressing their Business to Business (B2B) need for turning data into insight.
As many industries, banking is undergoing a fundamental change because of the software revolution. No longer are banks competing only on interest rates and having the best traders, these days customer experience and having the best engineers are the focus. In this changing world, banks compete with new start-ups, the so-called Fintechs, and with large platform organisations such as Google, Facebook and Apple. At ING, we believe that staying ahead of the game means changing how we interact with our customers, no longer a traditional model of waiting for the customers to come to the bank through our website or apps, but to actively reach out to the customer with information that is relevant to him or her in order to make their financial life frictionless. Many of these changes are driven by reacting to all events that are relevant to the customer, and using streaming analytics to be able to reach out to the customer in milliseconds after the event occurs. Apache Flink is key for ING to achieve this. This presentation addresses how ING approaches the challenge, the role that Apache Flink plays, and the consequences regulations have on how we work with Open Source in general, and with Apache Flink (and data Artisans) in particular. This keynote takes place at Kino 3.
As customer data grows massively, you need the tools to process data with the goal to answer important questions related to the success of your business. Traditional data processing tools have been effective in the past, but don't scale to grapple with the massive volume, velocity, and variety of data that's available to drive these decisions today. In addition, these tools required Salesforce customers to move data off-platform for processing. Salesforce provides a new tool - Data Pipeline - to help you process trillions of customer interactions on our trusted platform. Join us as we deep-dive and demo the Data Pipeline solution and cover interesting customer use-cases around Big Data Processing.
Insights on Procurement Data with Analytics Solutions from SAPSAP Ariba
Spend data has traditionally been kept in the procurement tower, but it has significant value to other parts of the business as well. Hear how leading companies are accessing traditional procurement data with advanced tools from the analytics solutions from SAP to assist with process optimization, fraud detection, and market predictive analysis.
Considering an org merge in your company? We've implemented multiple complex org merges with one of Salesforce's largest customers, so join us to learn best practices for merging two Salesforce orgs into one. We'll cover both the business and technical challenges, including a demo of the Force.com Migration Tool.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
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
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
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.
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.
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.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
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
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.
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.
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/
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
After immersing yourself in the blue book and its red counterpart, attending DDD-focused conferences, and applying tactical patterns, you're left with a crucial question: How do I ensure my design is effective? Tactical patterns within Domain-Driven Design (DDD) serve as guiding principles for creating clear and manageable domain models. However, achieving success with these patterns requires additional guidance. Interestingly, we've observed that a set of constraints initially designed for training purposes remarkably aligns with effective pattern implementation, offering a more ‘mechanical’ approach. Let's explore together how Object Calisthenics can elevate the design of your tactical DDD patterns, offering concrete help for those venturing into DDD for the first time!
Provides a single consolidated group of generic processors, running and open source data ingestion, persistence and parallel computing stack
Eliminate computational grid licensing costs associated with Grid Computing technology
Eliminate the data caching grid licensing costs associated with IMDGs
Eliminate Relational Database and Data Appliance costs that are associated with Risk and Compliance applications.
Eliminate the costs associated with ETL tools such as Data Stage and Ab Initio.
Provides a unified development environment for analytics
Use open source languages for analytic development such as R as well as supporting SAS and MatLab interfaces.
Provide open source source code management and QA tools.
Create a partnership between quants and IT developers that will allow IT to package analytics for deployment rather than recoding them
Sharply decrease analytic development and test times by providing a calculator framework that provides data as a service
Provides a light weight way for ingesting and storing data
Store and record each risk and compliance groups transformations to the base data providing BCBS 239 compliance
Support multiple views on the same data with Schema on Read capability
Support multiple language access to the data via SQL, PIG, Scala and Java interfaces
We use Cache to keep frequently access reference data for Normalization and Validation Data
Green represents plugin’s to the flow, out of the box and also custom my business.
Orange lines represent Connectivity back to the previous steps (Data Lineage)
Is it possible that data loading and validation could be done in a MapReduce fashion ??
Need to be able to plug and play with the Source Systems, i.e. a new Source System can be added with no impact on existing feeds being consumed. Pluggable infrastructure
L0 is OSS Specific, L1 defines the mandatory / optional columns needed for each entity type (trade, position, security), could be extended dependant on OSS, L2 is the final form, including any additional attributes, in a key value pair structure
Entity, AttributeName, Value, DataType (+ Bi Temporal fields)
High Level architecture, highlighting the components that are needed
DLG: Diagram is too busy, there is a lot going on, so for me it just says busy
DLG: again Diagram is too busy, there is a lot going on, so for me it just says busy
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