The document discusses key topics in big data and analytics. It outlines (1) the importance of predictive and accessible analytics, (2) issues with current "Type 0" and "A" analytics models, and (3) critical success factors around talent, tangible outcomes, and trust ("T3") . It also examines the future of payments and how mobile is driving convergence. The use of big data and analytics can provide competitive advantages by institutionalizing these capabilities.
1) The document discusses predictive analytics and business intelligence in payments and commerce. It outlines models like Type 0 and Type A analytics engagement and critical success factors.
2) Mobile technology is converging and will be a key driver of growth, with payments initiated by mobile expected to outnumber plastic card transactions within 10 years.
3) The future of payments and business is focused on predictive, accessible analytics solutions and managing mobile and technology convergence.
The document discusses insurance business analytics and how it can provide actionable insights from internal insurance company data. It proposes a solution using a dimensional data model, ETL processes, and parameterized reporting to analyze key areas like premiums, channels, policies, and claims. Implementing such a system using pre-defined models and best-of-breed tools could provide benefits like faster implementation and eliminating the need to build custom solutions. The solution aims to help insurance companies better leverage and understand their data.
The document discusses how Forrester Research can help Omnicom agencies in three key areas: 1) Winning new business by validating proposals and demonstrating thought leadership; 2) Enhancing client engagement and retention through strategy sessions and custom data; 3) Guiding agency strategy and development with boardroom discussions and emerging trends analysis. Forrester offers global research reports, consulting services, and proprietary consumer data to support agencies.
Gartner is the world's leading IT research and advisory company. It provides independent and actionable advice to help clients reduce costs, deploy IT to add value, drive innovation, and manage risk. Gartner serves over 60,000 clients in 11,500 organizations across industries through research reports, consulting services, conferences, and peer networking opportunities. The company employs 775 analysts who engage in 280,000 client interactions annually to ensure clients' key initiatives are successful.
Gartner is the world's leading IT research and advisory company. It delivers technology-related insights to help clients make the right decisions through independent and actionable advice. Gartner serves CIOs, CTOs, and senior IT executives through research reports, consulting services, conferences, and peer networking. It provides guidance on initiatives like reducing costs, driving innovation, and managing risk to ensure clients' IT success.
This document outlines key services that Gartner provides to clients including: 1) Synchronizing marketing, IT, and business efforts; 2) Acting as an objective advisor on marketing technology investments; 3) Providing a cost-effective way to explore new marketing ideas through feedback and validation on agency proposals.
The following article describes a new technology based on a distributed system such as Blockchain and powered by machine learning algorithms. The NeuroChain technology is a fusion between Blockchain and machine Learning, and based on three pillars:
- A decision maker : A Chain of Bots
- A set of rules : the Decision Protocol (Proof of Involvement and Integrity & Proof of Workflow)
- A network and media : the Pragmatic Communication Channels (adaptive communication protocol) and Learning ecosystem.
Gartner is the world's leading IT research and advisory company. It delivers technology-related insights to help clients make the right decisions through independent and actionable advice. Gartner serves CIOs, CTOs, and senior IT executives through research reports, consulting services, conferences, and peer networking. It provides guidance on topics like IT strategy, operations, sourcing, and technology selection to help clients run successful IT organizations and initiatives.
1) The document discusses predictive analytics and business intelligence in payments and commerce. It outlines models like Type 0 and Type A analytics engagement and critical success factors.
2) Mobile technology is converging and will be a key driver of growth, with payments initiated by mobile expected to outnumber plastic card transactions within 10 years.
3) The future of payments and business is focused on predictive, accessible analytics solutions and managing mobile and technology convergence.
The document discusses insurance business analytics and how it can provide actionable insights from internal insurance company data. It proposes a solution using a dimensional data model, ETL processes, and parameterized reporting to analyze key areas like premiums, channels, policies, and claims. Implementing such a system using pre-defined models and best-of-breed tools could provide benefits like faster implementation and eliminating the need to build custom solutions. The solution aims to help insurance companies better leverage and understand their data.
The document discusses how Forrester Research can help Omnicom agencies in three key areas: 1) Winning new business by validating proposals and demonstrating thought leadership; 2) Enhancing client engagement and retention through strategy sessions and custom data; 3) Guiding agency strategy and development with boardroom discussions and emerging trends analysis. Forrester offers global research reports, consulting services, and proprietary consumer data to support agencies.
Gartner is the world's leading IT research and advisory company. It provides independent and actionable advice to help clients reduce costs, deploy IT to add value, drive innovation, and manage risk. Gartner serves over 60,000 clients in 11,500 organizations across industries through research reports, consulting services, conferences, and peer networking opportunities. The company employs 775 analysts who engage in 280,000 client interactions annually to ensure clients' key initiatives are successful.
Gartner is the world's leading IT research and advisory company. It delivers technology-related insights to help clients make the right decisions through independent and actionable advice. Gartner serves CIOs, CTOs, and senior IT executives through research reports, consulting services, conferences, and peer networking. It provides guidance on initiatives like reducing costs, driving innovation, and managing risk to ensure clients' IT success.
This document outlines key services that Gartner provides to clients including: 1) Synchronizing marketing, IT, and business efforts; 2) Acting as an objective advisor on marketing technology investments; 3) Providing a cost-effective way to explore new marketing ideas through feedback and validation on agency proposals.
The following article describes a new technology based on a distributed system such as Blockchain and powered by machine learning algorithms. The NeuroChain technology is a fusion between Blockchain and machine Learning, and based on three pillars:
- A decision maker : A Chain of Bots
- A set of rules : the Decision Protocol (Proof of Involvement and Integrity & Proof of Workflow)
- A network and media : the Pragmatic Communication Channels (adaptive communication protocol) and Learning ecosystem.
Gartner is the world's leading IT research and advisory company. It delivers technology-related insights to help clients make the right decisions through independent and actionable advice. Gartner serves CIOs, CTOs, and senior IT executives through research reports, consulting services, conferences, and peer networking. It provides guidance on topics like IT strategy, operations, sourcing, and technology selection to help clients run successful IT organizations and initiatives.
Gartner provides technology-related research and advice to help clients make informed decisions. It has over 4,000 CIO clients and influences many IT purchases through its research. Gartner aims to support emerging and midsize technology providers through objective research aligned with key initiatives around growth, go-to-market strategies, and operations.
Nuix has participated in the Gartner Magic Quadrant for eDiscovery Software for the past four years.
Over that time, the eDiscovery market has changed considerably. Unfortunately, Nuix does not believe
Gartner’s analysis of software providers has kept pace.
Gartner Value to End User Professionalsashley_copley
Gartner is a global research and advisory firm that provides insights to business and technology leaders to help them achieve success. The document outlines five universal needs that Gartner helps clients fulfill: building success roadmaps, utilizing resources efficiently, selecting the right products, benchmarking performance, and empowering teams through professional development. Fulfilling these needs enables leaders to make better decisions, improve business performance, and drive growth.
The Briefing Room with John Myers and Alteryx
Live Webcast on Nov. 27, 2012
What's the biggest challenge with Big Data so far? By and large, it's the big pain in delivering the right data in a timely fashion, and in a way that decision-makers can easily use. That's quickly changing because of the tremendous demand for tools that even non-technical business users can effectively employ. Capabilities are being designed by software vendors large and small, to provide easier access and more intuitive ways for working with Big Data. Even still, the effort to make Big Data useful is very much a work in progress.
Check out this episode of The Briefing Room to hear veteran Analyst John Myers of EMA explain why Big Data poses challenges and opportunities for professionals looking to better understand their markets, prospects and customers. Myers will be briefed by Paul Ross of Alteryx, who will tout his company's efforts to "humanize" Big Data using their strategic analytics platform, designed to: 1) facilitate access to Big Data, especially in combination with other data sets; 2) give analysts an intuitive, workflow-based approach for build the targeted analytics their business needs; and, 3) make the consumption of these analytics by decision-makers as simple as using the apps they use at home.
Visit: http://www.insideanalysis.com
Introduction to healthcare and life sciencesFernando Mesa
This document provides an overview and examples of how MarkLogic can be used in the healthcare and life sciences industries. It discusses several healthcare customers that use MarkLogic, including Informatics Corporation of America (ICA) who uses MarkLogic to power its CareAlign clinical records sharing platform, M*Modal who uses it for patient analytics, Zynx Health for clinical decision support systems, Health Forum for medical coding research, and CMS for healthcare fraud detection. Use cases and capabilities for each customer are described in 1-3 sentences.
This document provides an overview of the digital health landscape and considerations for startups. It outlines the healthcare information and technology spectrum, including areas like clinical collaboration, data analytics, and telehealth. It discusses elements that make companies sustainable, such as having a clear purpose, addressing large markets, and focusing spending. The document also covers topics like raising capital, valuation methods, and potential investors in the digital health space.
RetailTactics provides cost-effective software-as-a-service solutions to enable collaboration and compliance between retailers and suppliers at the store level. Their RightSpace tool analyzes store space and sales data to answer key questions about category sizes, space allocation, and shelf productivity in order to improve the customer experience and sales performance. It features easy-to-use dashboards and reports with dynamic drill-down capabilities. For more information or a demonstration, contact the provided representative.
For more content from the same event, including a discussion of Customer Profitability Analysis and Big Data tools, please see:
meetup.com/Analytics-and-Data-in-Financial-Services/pages/Big_Data_meet_Customer_Profitability_Analytics/
Big Data Meets Customer Profitability AnalyticsDATAVERSITY
The document discusses how big data can be used for customer profitability analytics. It describes customer profitability analysis as measuring the contribution each customer makes to overall profits and key profit drivers, providing a customer-level version of a company's income statement. While the concepts of customer profitability metrics seem simple, accurately calculating them can be complex for organizations with multiple business units. The document explores how big data and advanced analytics could help improve customer profitability analysis.
Information is the principle driver of competitive advantage. How it is collected, analysed and communicated determines our success. No single resource is more critical to organisational survival.
The amount of data in the world is exponentially increasing, to a point where companies capture significant amounts of information about their customers, suppliers, and operations. Millions of networked sensors are being embedded in everything from mobile phones to cars. Social networks and location data from mobile devices will continue to fuel this exponential data growth. These huge data pools are commonly being referred to as "big data".
This talk examines how analytics and big data are exploiting information to drive competitive advantage.
SAP provides analytics solutions to help customers run their businesses better by accessing all relevant information, defining plans to align performance goals, and responding instantly to changing conditions. Their solutions provide capabilities for data analysis, business intelligence applications, and collaboration. Customers in various industries and regions have been able to increase financial and operational performance through SAP's analytics offerings.
The document discusses the growing importance of mobility for business intelligence (BI). It notes that mobile devices like smartphones and tablets are increasingly popular both for personal and business use. This brings opportunities for BI tools to be accessed and used on mobile devices. The document outlines some of the key considerations for mobile BI platforms, such as user experience, integration with existing systems, and security. It also analyzes the capabilities and differences between various mobile BI vendors and solutions. Overall, the document argues that mobility and BI are naturally complementary and that mobile access to BI information will continue growing in importance.
Innovate Analytics with Oracle Data Mining & Oracle RCapgemini
This document summarizes a presentation about innovating analytics with Oracle Data Mining and R. The presentation introduces data mining and R, how they can be used with Oracle BI 11g, and Oracle's predictive analytics stack. It provides examples of data mining use cases and encourages organizations to start predictive analytics projects by leveraging existing BI investments. The presentation aims to provide an understanding of data mining and R, how predictive analytics can benefit organizations, and how to get started with a predictive analytics project.
This document discusses different analytics tools for marketing and advertising requirements. It compares paid vs free tools and outlines key factors to consider such as business type, legal risks, integration capabilities, service and support offerings. The panel then provides examples from Budget Direct's experience using Omniture tools for cross-channel campaign measurement and leveraging customer data insights. Integration of tools and a focus on innovation is highlighted as important for maximizing ROI and marketing effectiveness.
The document discusses data discovery and its role in helping organizations gain insights from data. It notes three key trends - agile analytics, big data, and data visualization. Data discovery fits within these trends by providing flexible tools for rapid analysis of diverse data sources and delivering insights visually. The document outlines the journey from data to results, noting that data discovery supports data acquisition, governance, quality, and analysis. It presents a cycle of analysis and provides an example for customer analytics. Key success factors for data discovery include goal-centricity, agility, fast iteration, and cross-functional collaboration.
Scenari evolutivi nello snellimento dei sistemi informativiFondazione CUOA
The document summarizes an event about Lean IT hosted by CUOA on November 20th, 2012 in Altavilla Vicentina. It features a presentation by Fabrizio Renzi, IBM Italy's Technical Director, about Lean IT and IBM studies confirming the need for continuous improvement (Lean). The presentation discusses how clients are asking IT for cost savings through standardization and innovation. It also outlines IBM's vision for ICT in 2012, including investments in analytics, big data, smarter planet, social/mobile computing, and cloud computing.
Evaluating Big Data Predictive Analytics PlatformsTeradata Aster
Mike Gualtieri, Principal Analyst, Forrester Research, presents at the Big Analytics Roadshow, 2012 in New York City on December 12, 2012
Presentation title: Evaluating Big Data Predictive Analytics Platforms
Abstract: Great. You have Big Data. Now what? You have to analyze it to find game-changing predictive models that you can use to make smart decisions, reduce risk, or deliver breakthrough customer experiences. Big Data Predictive Analytics solutions are software and/or hardware solutions that allow firms to discover, evaluate, optimize, and deploy predictive models by analyzing big data sources. In this session, Forrester Principal Analyst Mike Gualtieri will discuss the key criteria you should use to evaluate Big Data Predictive Analytics platforms to meet your specific needs.
2012 year Siebel CRM Strategy and Roadmap (outdated)Ilya Milshtein
This document provides an overview of Oracle's Siebel CRM strategy and roadmap. It discusses Oracle's strategy of providing complete solutions and deployment choices for customers. It then summarizes Oracle's Siebel CRM investment strategy, which focuses on continued innovations, lower total cost of ownership, and industry-specific innovations. The roadmap highlights recent and planned innovations in areas like user experience, mobility, social capabilities, upgrades/deployment, and industry solutions.
This document discusses Clear2Pay's financing and reporting. It provides background on Jürgen Ingels and an overview of Clear2Pay and NGDATA, including their histories, products/services, clients, and growth. It also covers fundraising best practices and challenges in communicating financials to non-financial stakeholders. Key points include Clear2Pay's expansion globally and into new payments products and services over time, and NGDATA's focus on using big data to drive customer loyalty and intelligence. Fundraising tips emphasize preparation, choosing investors wisely, and negotiating terms favorably.
Gartner provides technology-related research and advice to help clients make informed decisions. It has over 4,000 CIO clients and influences many IT purchases through its research. Gartner aims to support emerging and midsize technology providers through objective research aligned with key initiatives around growth, go-to-market strategies, and operations.
Nuix has participated in the Gartner Magic Quadrant for eDiscovery Software for the past four years.
Over that time, the eDiscovery market has changed considerably. Unfortunately, Nuix does not believe
Gartner’s analysis of software providers has kept pace.
Gartner Value to End User Professionalsashley_copley
Gartner is a global research and advisory firm that provides insights to business and technology leaders to help them achieve success. The document outlines five universal needs that Gartner helps clients fulfill: building success roadmaps, utilizing resources efficiently, selecting the right products, benchmarking performance, and empowering teams through professional development. Fulfilling these needs enables leaders to make better decisions, improve business performance, and drive growth.
The Briefing Room with John Myers and Alteryx
Live Webcast on Nov. 27, 2012
What's the biggest challenge with Big Data so far? By and large, it's the big pain in delivering the right data in a timely fashion, and in a way that decision-makers can easily use. That's quickly changing because of the tremendous demand for tools that even non-technical business users can effectively employ. Capabilities are being designed by software vendors large and small, to provide easier access and more intuitive ways for working with Big Data. Even still, the effort to make Big Data useful is very much a work in progress.
Check out this episode of The Briefing Room to hear veteran Analyst John Myers of EMA explain why Big Data poses challenges and opportunities for professionals looking to better understand their markets, prospects and customers. Myers will be briefed by Paul Ross of Alteryx, who will tout his company's efforts to "humanize" Big Data using their strategic analytics platform, designed to: 1) facilitate access to Big Data, especially in combination with other data sets; 2) give analysts an intuitive, workflow-based approach for build the targeted analytics their business needs; and, 3) make the consumption of these analytics by decision-makers as simple as using the apps they use at home.
Visit: http://www.insideanalysis.com
Introduction to healthcare and life sciencesFernando Mesa
This document provides an overview and examples of how MarkLogic can be used in the healthcare and life sciences industries. It discusses several healthcare customers that use MarkLogic, including Informatics Corporation of America (ICA) who uses MarkLogic to power its CareAlign clinical records sharing platform, M*Modal who uses it for patient analytics, Zynx Health for clinical decision support systems, Health Forum for medical coding research, and CMS for healthcare fraud detection. Use cases and capabilities for each customer are described in 1-3 sentences.
This document provides an overview of the digital health landscape and considerations for startups. It outlines the healthcare information and technology spectrum, including areas like clinical collaboration, data analytics, and telehealth. It discusses elements that make companies sustainable, such as having a clear purpose, addressing large markets, and focusing spending. The document also covers topics like raising capital, valuation methods, and potential investors in the digital health space.
RetailTactics provides cost-effective software-as-a-service solutions to enable collaboration and compliance between retailers and suppliers at the store level. Their RightSpace tool analyzes store space and sales data to answer key questions about category sizes, space allocation, and shelf productivity in order to improve the customer experience and sales performance. It features easy-to-use dashboards and reports with dynamic drill-down capabilities. For more information or a demonstration, contact the provided representative.
For more content from the same event, including a discussion of Customer Profitability Analysis and Big Data tools, please see:
meetup.com/Analytics-and-Data-in-Financial-Services/pages/Big_Data_meet_Customer_Profitability_Analytics/
Big Data Meets Customer Profitability AnalyticsDATAVERSITY
The document discusses how big data can be used for customer profitability analytics. It describes customer profitability analysis as measuring the contribution each customer makes to overall profits and key profit drivers, providing a customer-level version of a company's income statement. While the concepts of customer profitability metrics seem simple, accurately calculating them can be complex for organizations with multiple business units. The document explores how big data and advanced analytics could help improve customer profitability analysis.
Information is the principle driver of competitive advantage. How it is collected, analysed and communicated determines our success. No single resource is more critical to organisational survival.
The amount of data in the world is exponentially increasing, to a point where companies capture significant amounts of information about their customers, suppliers, and operations. Millions of networked sensors are being embedded in everything from mobile phones to cars. Social networks and location data from mobile devices will continue to fuel this exponential data growth. These huge data pools are commonly being referred to as "big data".
This talk examines how analytics and big data are exploiting information to drive competitive advantage.
SAP provides analytics solutions to help customers run their businesses better by accessing all relevant information, defining plans to align performance goals, and responding instantly to changing conditions. Their solutions provide capabilities for data analysis, business intelligence applications, and collaboration. Customers in various industries and regions have been able to increase financial and operational performance through SAP's analytics offerings.
The document discusses the growing importance of mobility for business intelligence (BI). It notes that mobile devices like smartphones and tablets are increasingly popular both for personal and business use. This brings opportunities for BI tools to be accessed and used on mobile devices. The document outlines some of the key considerations for mobile BI platforms, such as user experience, integration with existing systems, and security. It also analyzes the capabilities and differences between various mobile BI vendors and solutions. Overall, the document argues that mobility and BI are naturally complementary and that mobile access to BI information will continue growing in importance.
Innovate Analytics with Oracle Data Mining & Oracle RCapgemini
This document summarizes a presentation about innovating analytics with Oracle Data Mining and R. The presentation introduces data mining and R, how they can be used with Oracle BI 11g, and Oracle's predictive analytics stack. It provides examples of data mining use cases and encourages organizations to start predictive analytics projects by leveraging existing BI investments. The presentation aims to provide an understanding of data mining and R, how predictive analytics can benefit organizations, and how to get started with a predictive analytics project.
This document discusses different analytics tools for marketing and advertising requirements. It compares paid vs free tools and outlines key factors to consider such as business type, legal risks, integration capabilities, service and support offerings. The panel then provides examples from Budget Direct's experience using Omniture tools for cross-channel campaign measurement and leveraging customer data insights. Integration of tools and a focus on innovation is highlighted as important for maximizing ROI and marketing effectiveness.
The document discusses data discovery and its role in helping organizations gain insights from data. It notes three key trends - agile analytics, big data, and data visualization. Data discovery fits within these trends by providing flexible tools for rapid analysis of diverse data sources and delivering insights visually. The document outlines the journey from data to results, noting that data discovery supports data acquisition, governance, quality, and analysis. It presents a cycle of analysis and provides an example for customer analytics. Key success factors for data discovery include goal-centricity, agility, fast iteration, and cross-functional collaboration.
Scenari evolutivi nello snellimento dei sistemi informativiFondazione CUOA
The document summarizes an event about Lean IT hosted by CUOA on November 20th, 2012 in Altavilla Vicentina. It features a presentation by Fabrizio Renzi, IBM Italy's Technical Director, about Lean IT and IBM studies confirming the need for continuous improvement (Lean). The presentation discusses how clients are asking IT for cost savings through standardization and innovation. It also outlines IBM's vision for ICT in 2012, including investments in analytics, big data, smarter planet, social/mobile computing, and cloud computing.
Evaluating Big Data Predictive Analytics PlatformsTeradata Aster
Mike Gualtieri, Principal Analyst, Forrester Research, presents at the Big Analytics Roadshow, 2012 in New York City on December 12, 2012
Presentation title: Evaluating Big Data Predictive Analytics Platforms
Abstract: Great. You have Big Data. Now what? You have to analyze it to find game-changing predictive models that you can use to make smart decisions, reduce risk, or deliver breakthrough customer experiences. Big Data Predictive Analytics solutions are software and/or hardware solutions that allow firms to discover, evaluate, optimize, and deploy predictive models by analyzing big data sources. In this session, Forrester Principal Analyst Mike Gualtieri will discuss the key criteria you should use to evaluate Big Data Predictive Analytics platforms to meet your specific needs.
2012 year Siebel CRM Strategy and Roadmap (outdated)Ilya Milshtein
This document provides an overview of Oracle's Siebel CRM strategy and roadmap. It discusses Oracle's strategy of providing complete solutions and deployment choices for customers. It then summarizes Oracle's Siebel CRM investment strategy, which focuses on continued innovations, lower total cost of ownership, and industry-specific innovations. The roadmap highlights recent and planned innovations in areas like user experience, mobility, social capabilities, upgrades/deployment, and industry solutions.
This document discusses Clear2Pay's financing and reporting. It provides background on Jürgen Ingels and an overview of Clear2Pay and NGDATA, including their histories, products/services, clients, and growth. It also covers fundraising best practices and challenges in communicating financials to non-financial stakeholders. Key points include Clear2Pay's expansion globally and into new payments products and services over time, and NGDATA's focus on using big data to drive customer loyalty and intelligence. Fundraising tips emphasize preparation, choosing investors wisely, and negotiating terms favorably.
Governing the Data to Dollars Value Chain™ - Sept 2012 NYC Data Governance Co...Fitzgerald Analytics, Inc.
Data is the ultimate intangible asset: worthless is raw form, yet priceless when used well. Financial services companies depend on analytics to transform troves of data into business advantage, insight, and profits. Yet the ugly secret is that most analytics project fail to achieve their full potential, leaving millions of dollars in potential profits on the table.
Agile BI : meeting the best of both worlds from departmental and enterprise BIJean-Michel Franco
The document discusses the need for business intelligence (BI) to evolve from a process-centric IT function to an information-centric service that empowers all users within an organization. It argues that BI must adopt agile methodologies to quickly deliver intelligence to both occasional and advanced users. The document presents a case study of Sanofi Pasteur, which implemented a new hybrid BI architecture and agile development approach to accelerate time-to-value, gain higher user acceptance, and increase the number of prototype projects launched each year.
This document discusses how organizations can optimize their business through the use of information and analytics. It describes how the world is becoming more instrumented, interconnected and intelligent, creating both opportunities and challenges for organizations regarding data volume, variety and velocity. The document advocates that organizations can gain insights, make better decisions and outperform competitors by leveraging analytics at the point of impact across their business. It also outlines IBM's capabilities and solutions for business optimization, including industry-specific approaches, predictive analytics, information governance and workload-optimized systems and services.
Big data cloud cloud circle keynote_final laura colvine 8th november 2012IBM
This document discusses how organizations are using big data and cloud computing to gain insights and optimize operations. It provides examples of how forward-thinking organizations are (1) creating scalable and trusted systems to manage large amounts of data, (2) using data to optimize complex decisions and identify trends, and (3) acting on insights by improving outcomes and customer satisfaction. Specific cases highlight collaborating across healthcare systems in the cloud, using weather data to improve wind farm forecasts, reducing surgery hospitalizations through genetic data analysis, and improving transaction processing. The document argues convergence of data sources and cloud-based tools will further increase business optimization.
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
How to Interpret Trends in the Kalyan Rajdhani Mix Chart.pdfChart Kalyan
A Mix Chart displays historical data of numbers in a graphical or tabular form. The Kalyan Rajdhani Mix Chart specifically shows the results of a sequence of numbers over different periods.
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Salesforce Integration for Bonterra Impact Management (fka Social Solutions A...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 integration of Salesforce with Bonterra Impact Management.
Interested in deploying an integration with Salesforce for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Introduction of Cybersecurity with OSS at Code Europe 2024Hiroshi SHIBATA
I develop the Ruby programming language, RubyGems, and Bundler, which are package managers for Ruby. Today, I will introduce how to enhance the security of your application using open-source software (OSS) examples from Ruby and RubyGems.
The first topic is CVE (Common Vulnerabilities and Exposures). I have published CVEs many times. But what exactly is a CVE? I'll provide a basic understanding of CVEs and explain how to detect and handle vulnerabilities in OSS.
Next, let's discuss package managers. Package managers play a critical role in the OSS ecosystem. I'll explain how to manage library dependencies in your application.
I'll share insights into how the Ruby and RubyGems core team works to keep our ecosystem safe. By the end of this talk, you'll have a better understanding of how to safeguard your code.
Webinar: Designing a schema for a Data WarehouseFederico Razzoli
Are you new to data warehouses (DWH)? Do you need to check whether your data warehouse follows the best practices for a good design? In both cases, this webinar is for you.
A data warehouse is a central relational database that contains all measurements about a business or an organisation. This data comes from a variety of heterogeneous data sources, which includes databases of any type that back the applications used by the company, data files exported by some applications, or APIs provided by internal or external services.
But designing a data warehouse correctly is a hard task, which requires gathering information about the business processes that need to be analysed in the first place. These processes must be translated into so-called star schemas, which means, denormalised databases where each table represents a dimension or facts.
We will discuss these topics:
- How to gather information about a business;
- Understanding dictionaries and how to identify business entities;
- Dimensions and facts;
- Setting a table granularity;
- Types of facts;
- Types of dimensions;
- Snowflakes and how to avoid them;
- Expanding existing dimensions and facts.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.