Big data analytics can provide businesses with new insights from large volumes of structured and unstructured data. It allows analyzing customer sentiment, detecting medical conditions, predicting weather patterns, assessing risk, and identifying threats. To leverage big data, businesses need to capture data from various sources, analyze it in real-time, and turn it into insights to predict customer, competitive, and market behavior. Deploying big data analytics competencies consistently across an enterprise correlates with higher financial performance and competitive advantage long-term.
Australian CIO Summit 2012: A Strategic Approach To BIG DATA Analytics. Separ...IT Network marcus evans
Australian CIO Summit 2012: A Strategic Approach To BIG DATA Analytics. Separating Hype from Reality by Ian Forrester, Managing Consultant, Inside Info
Competitive advantage through data management terry jabali v.01tjabali
The document summarizes a keynote presentation on data management and analytics by Terry Jabali. The presentation will take place at the Data Management Planning & Analysis Summit in San Francisco on August 15-16, 2011. The keynote will provide an overview of key trends and practices in data management, and use case discussions. Jabali will discuss topics such as the costs of bad data, benchmarks for common data issues, investments that provide competitive advantages, and the need for data governance and analytics frameworks to ensure high quality data and actionable insights.
When Worlds Collide: Intelligence, Analytics and OperationsInside Analysis
The Briefing Room with Shawn Rogers and Composite Software
Slides from the Live Webcast on May 15, 2012
Everyone wants more data these days, though often for different reasons. Business analysts, data scientists and front-line workers all know the value of having that extra piece of information. The big question remains -- how can all these needs be supported without taxing IT and without breaking the bank? And how can the worlds of traditional Business Intelligence, Big Data Analytics and Transaction Systems combine to improve business outcomes?
In this episode of The Briefing Room, veteran Analyst Shawn Rogers of Enterprise Management Associates explains what is needed to take advantage from today's hybrid data ecosystem. He'll be briefed by Bob Eve of Composite Software who will explain how innovative enterprises are using data virtualization to gain insight across these worlds and doing so with greater agility and lower costs.
For more information visit: http://www.insideanalysis.com
Watch us on YouTube: http://www.youtube.com/playlist?list=PL5EE76E2EEEC8CF9E
ZY Vision specializes in business intelligence solutions like data warehousing, management, and analytics to help companies make better, faster decisions. Their team of experts assists companies across industries to analyze patterns in corporate data. They advise on comprehensive data strategies, design data warehouses, and implement the MicroStrategy business intelligence platform. ZY Vision helps customers gain insights from their enterprise data through reports, dashboards, and mobile business intelligence applications.
This document discusses how organizations can harness big data as a game changing asset. It begins by setting the context on the impact of big data and how the volume of digital information is growing exponentially. It then covers analytical layers for deriving value from big data, including the data layer, emerging trends in real analytics, and shifting the focus from hindsight to foresight. Two case studies from India are presented on applying analytics in retail and HR. Finally, it discusses how big data is changing the paradigm for analytics by enabling closer monitoring, simulation and optimization. Harnessing big data requires asking focused questions to solve specific business problems.
CeBIT Keynote: Rethinking Work. The Next Chapter in Social CollaborationSameer Patel
1) Enterprise social software has seen significant growth but adoption by employees has been low, with most employees never using their company's social platform.
2) Social collaboration in businesses currently happens in isolation from actual business processes and applications.
3) The transformational opportunity for social collaboration comes from closing this gap by surfacing social features and collaboration at the point where business decisions are made, actions are taken, and processes are executed. This would allow social collaboration to directly drive key business metrics like revenue, costs, risks, and more.
http://www.actian.com/
Actian’s strategy is to enable companies to develop Action Apps. Action Apps are lightweight
consumer-style applications that automate business actions triggered by real-time changes in data.
Action Apps will unleash the next level of business innovation and competitive advantage currently locked in the endless streams of data flowing through organizations and the industry. Action Apps are easy to build, require no training and provide value far beyond traditional business intelligence applications. Action Apps will be developed, managed
and shared on the world’s first Cloud Action PlatformTM from Actian.
It is Time For Action Apps
Over the past decade, most innovation in software has been in the consumer market.
Think about the way you use technology in your personal life today. We all enjoy small, light-weight, big-value apps on the smartphones and tablets we love. These consumer
apps help us do practical things like pay bills, book flights and taxis, and do fun things
like connect and share with friends. It’s never been more effective and fun.
Compare this to the experiences we have at work, where we are forced to use monolithic, hard-to-use, and harder-to-manage enterprise software. Actian’s mission is to enable users, developers, and Enterprise IT organizations to embrace and build consumer style apps to unleash a new level of enterprise productivity.
Whether it’s monitoring a particular company’s stock prices, keeping tabs on your competition’s
sales data, or watching your prospects’ credit ratings rise and fall, every Action App
is customized to meet the information needs of your particular job or workflow.
Action Apps are designed to constantly scan and probe a wide variety of disparate data sources, from highly structured corporate CRM and ERP systems to software-as-a-service offerings like salesforce.com, and even unpredicted unstructured twitter feeds, LinkedIn updates and Facebook posts. When the Action Apps data probes uncover important
information, they fire triggers which signal the appropriate business user and either
communicate, or cause an action to be taken as a result.
Australian CIO Summit 2012: A Strategic Approach To BIG DATA Analytics. Separ...IT Network marcus evans
Australian CIO Summit 2012: A Strategic Approach To BIG DATA Analytics. Separating Hype from Reality by Ian Forrester, Managing Consultant, Inside Info
Competitive advantage through data management terry jabali v.01tjabali
The document summarizes a keynote presentation on data management and analytics by Terry Jabali. The presentation will take place at the Data Management Planning & Analysis Summit in San Francisco on August 15-16, 2011. The keynote will provide an overview of key trends and practices in data management, and use case discussions. Jabali will discuss topics such as the costs of bad data, benchmarks for common data issues, investments that provide competitive advantages, and the need for data governance and analytics frameworks to ensure high quality data and actionable insights.
When Worlds Collide: Intelligence, Analytics and OperationsInside Analysis
The Briefing Room with Shawn Rogers and Composite Software
Slides from the Live Webcast on May 15, 2012
Everyone wants more data these days, though often for different reasons. Business analysts, data scientists and front-line workers all know the value of having that extra piece of information. The big question remains -- how can all these needs be supported without taxing IT and without breaking the bank? And how can the worlds of traditional Business Intelligence, Big Data Analytics and Transaction Systems combine to improve business outcomes?
In this episode of The Briefing Room, veteran Analyst Shawn Rogers of Enterprise Management Associates explains what is needed to take advantage from today's hybrid data ecosystem. He'll be briefed by Bob Eve of Composite Software who will explain how innovative enterprises are using data virtualization to gain insight across these worlds and doing so with greater agility and lower costs.
For more information visit: http://www.insideanalysis.com
Watch us on YouTube: http://www.youtube.com/playlist?list=PL5EE76E2EEEC8CF9E
ZY Vision specializes in business intelligence solutions like data warehousing, management, and analytics to help companies make better, faster decisions. Their team of experts assists companies across industries to analyze patterns in corporate data. They advise on comprehensive data strategies, design data warehouses, and implement the MicroStrategy business intelligence platform. ZY Vision helps customers gain insights from their enterprise data through reports, dashboards, and mobile business intelligence applications.
This document discusses how organizations can harness big data as a game changing asset. It begins by setting the context on the impact of big data and how the volume of digital information is growing exponentially. It then covers analytical layers for deriving value from big data, including the data layer, emerging trends in real analytics, and shifting the focus from hindsight to foresight. Two case studies from India are presented on applying analytics in retail and HR. Finally, it discusses how big data is changing the paradigm for analytics by enabling closer monitoring, simulation and optimization. Harnessing big data requires asking focused questions to solve specific business problems.
CeBIT Keynote: Rethinking Work. The Next Chapter in Social CollaborationSameer Patel
1) Enterprise social software has seen significant growth but adoption by employees has been low, with most employees never using their company's social platform.
2) Social collaboration in businesses currently happens in isolation from actual business processes and applications.
3) The transformational opportunity for social collaboration comes from closing this gap by surfacing social features and collaboration at the point where business decisions are made, actions are taken, and processes are executed. This would allow social collaboration to directly drive key business metrics like revenue, costs, risks, and more.
http://www.actian.com/
Actian’s strategy is to enable companies to develop Action Apps. Action Apps are lightweight
consumer-style applications that automate business actions triggered by real-time changes in data.
Action Apps will unleash the next level of business innovation and competitive advantage currently locked in the endless streams of data flowing through organizations and the industry. Action Apps are easy to build, require no training and provide value far beyond traditional business intelligence applications. Action Apps will be developed, managed
and shared on the world’s first Cloud Action PlatformTM from Actian.
It is Time For Action Apps
Over the past decade, most innovation in software has been in the consumer market.
Think about the way you use technology in your personal life today. We all enjoy small, light-weight, big-value apps on the smartphones and tablets we love. These consumer
apps help us do practical things like pay bills, book flights and taxis, and do fun things
like connect and share with friends. It’s never been more effective and fun.
Compare this to the experiences we have at work, where we are forced to use monolithic, hard-to-use, and harder-to-manage enterprise software. Actian’s mission is to enable users, developers, and Enterprise IT organizations to embrace and build consumer style apps to unleash a new level of enterprise productivity.
Whether it’s monitoring a particular company’s stock prices, keeping tabs on your competition’s
sales data, or watching your prospects’ credit ratings rise and fall, every Action App
is customized to meet the information needs of your particular job or workflow.
Action Apps are designed to constantly scan and probe a wide variety of disparate data sources, from highly structured corporate CRM and ERP systems to software-as-a-service offerings like salesforce.com, and even unpredicted unstructured twitter feeds, LinkedIn updates and Facebook posts. When the Action Apps data probes uncover important
information, they fire triggers which signal the appropriate business user and either
communicate, or cause an action to be taken as a result.
Presented at eMetrics Boston 2012. Defines the organizational challenges and key performance indicators for those considering the applications of Big Data in their organization.
The Zen and Art of IT Management (VM World Keynote 2012)CA Technologies
This document discusses strategies for IT management to drive business innovation. It suggests allocating resources between maintaining current systems versus delivering new business services, with 63% of spending going towards the latter. Maintaining systems is seen as a "chore" while investing in new services enables innovation. It also discusses using tools like CA Service Assurance to improve efficiency, streamline processes, and increase capacity for innovation. Case studies show how these tools helped companies like Jack Henry & Associates and Wikimedia Foundation improve service quality and the user experience.
Research in the performance of business intelligence tools finds that most deployments serve less than 15% of the enterprise population requiring insights to make better decisions. Surprising then that corporations on average employ more than 15 different BI tools. The high cost and complexity to change means that many Enterprise BI software suites focus on answering questions that are already well understood. Learning lessons from previous deployments suggest the future of business intelligence lies in nimble tools that extend collaborative workspaces with ‘instant insight’.
Cisco Connect 2018 Malaysia - It transformation-an imperative for driving bus...NetworkCollaborators
The document discusses how technology is transforming industries and how business outcomes now rely on digital strategies. It outlines five key tenets of IT transformation: hybrid cloud, virtualized network, future-ready storage, analytics and big data, and multi-layered security. The Intel Xeon Scalable Platform is presented as providing performance, security, agility and lower total cost of ownership. Cisco and Intel are positioned as trusted partners for organizations undergoing IT transformation.
IGNITION: Winning data strategies for publishers by Todd Teresi/Quantcast Babbel
The document discusses the future of data use in media. It notes that first-party data that comes directly from publishers will become more important, and data usage will shift from being based on human hypotheses to automated modeling using machine learning. High-dimensional, comprehensive data sets that consider multiple attributes will be leveraged to develop sophisticated algorithms for targeted advertising. Performance and scale will be key attributes for effective data-driven targeting approaches.
IBM Information Management - Efter stormen: Uppnå konkurrenskraft och sänkta ...IBM Sverige
En lärdom som kan dras av den finansiella krisen är att vi måste bli bättre på att förutse framtiden och planera nästa steg. IBM Cognos lösningar för beslutsstöd hjälper dig att använda och analysera affärsinformation för att få insikt i verksamheten och framtiden. Vi berättar hur du kan använda information tillsammans med avancerade analyser för att simulera olika strategier för framgång. Presentationen hålls på engelska av
Juha Teljo, Information Agenda Expert, IBM
Denna presentation hölls på ett seminariepass för Information Management under IBM Software Day 2010.
BI at your fingertips - views also from Hariram Kalidas (GBM)Shwetank Jayaswal
Business intelligence solutions have become more integrated and easier for organizations to implement. They are no longer limited to just large tech companies, and more industries are using BI to improve decision making. As BI tools have advanced, trends like predictive analytics, big data, cloud-based services, and analytics focused on specific industries have emerged. Successful companies will be those that can organize themselves around analytics to drive differentiation from data.
Evaluating the opportunity for embedded ai in data productivity toolsNeil Raden
The document discusses embedding AI in data productivity tools. It notes that while AI applications get attention, opportunities to embed AI in tools to manage and interpret data may be overlooked. This could help address challenges in preparing large amounts of clean, AI-ready data at scale. The document summarizes experts' views, many of which support embedding AI in data pipelines and tools to improve data quality, integration and analytics. It provides examples of companies like Informatica, UnifiSoftware, Trifacta and Tamr that are infusing AI into their data integration and catalog offerings. The document argues that opportunities for AI to improve data management could boost overall AI success rates.
The document discusses big data and the need for a new data stack, Data Stack 3.0, to handle the variety, volume, and velocity of data. It notes that internet companies have already built their own data platforms to address similar problems at massive scale using open source software like Hadoop. Persistent Systems is presented as having expertise in big data through contributions to open source projects, pre-built solutions, and professional services to help enterprises implement big data solutions.
Decoding Organizational DNA: Trust, Data and Unlocking Value in the Digital W...Accenture Insurance
Accenture’s research into collecting employee data can help organizations get the most out of their employees and decode their organizational DNA. Learn more: https://www.accenture.com/us-en/insights/future-workforce/workforce-data-organizational-dna
1) While data has become more abundant, organizations must ensure they extract useful information from data to drive better decisions.
2) The rise of instrumented, interconnected and intelligent systems allows organizations to gain real-time insights from vast amounts of structured and unstructured data.
3) Leveraging predictive analytics and content analytics can help organizations move from reactive to predictive decision-making to optimize performance.
If you are a senior IT leader, you need to make the same kinds of disciplined choices for your department that the CEO and top leadership team are making about the strategic direction of the enterprise. Here's how to develop a sophisticated, more strategically oriented information technology approach--based on six ways to create value for the enterprise, and five archetypes that resolve the tension among those six value drivers.
Delivering ITaaS With a Software-Defined Data CenterEMC
This document discusses delivering IT as a service (ITaaS) using a software-defined data center (SDDC). Key points include:
1) ITaaS allows IT to quickly respond to changing business needs through standardized, virtualized solutions deployed on demand.
2) An SDDC enables automated, elastic provisioning of compute, storage, networking and security resources according to policies.
3) ITaaS positions IT as a strategic partner rather than just a support function, improving its ability to enable the business.
The Business Data Catalogue provides a method of integrating business data from back-end server applications, such as SAP or Siebel or other line of business applications, into Microsoft Office SharePoint Server 2007, without writing any code. Business Intelligence with Office SharePoint Server 2007 provides a framework for accessing that data, and for providing a toolset for business decision makers to turn the raw data into critical business information.
This presentation is designed to provide the audience with an overview of how BI can be used to create visual dashboards that assemble and display business information from multiple sources (e.g. Excel Services, SQL Reporting) using built-in web parts.
This is a business session and does not cover the technical implementation of BDC.
As the way we do business becomes more complex and changes more quickly, the gap between the top and bottom performers widens considerably (Source: Competitive Advantage from Better Interactions, by Scott C. Beardsley, Bradford C. Johnson and James M. Manyika). Across sectors, leaders such as Tesco, Procter & Gamble, Goldman Sachs, Apple and Google have one thing in common – they all have an unquenchable thirst for collecting vast amounts of data from everywhere, which is converted to actionable insights for smarter innovation, interactions, transactions.
IP&A109 Next-Generation Analytics Architecture for the Year 2020Anjan Roy, PMP
The document discusses next generation information architecture. It describes how traditional architectures are no longer sufficient to handle big data and varied sources. A next generation architecture features a data lake that stores all data in its native format without schema. It also includes an analytics fabric and cloud fabric to enable flexible, scalable analysis and lower costs. This architecture supports self-service analytics, predictive modeling, and real-time insights across diverse data.
The End of the Wild-West of Data – Relevance and Regulation: the Cornerstones...auexpo Conference
1) Big data is getting exponentially larger each year due to growth in social media, e-commerce, mobile devices, and the internet of things. However, the quality and relevance of data is more important than just the quantity.
2) When data is enriched by linking it to other contextual data sources and then visualized effectively, it can provide meaningful insights. However, regulations and privacy concerns must also be adequately addressed.
3) While big data can improve efficiency and business strategies, its primary benefit should be better customer service, experiences, and identification of new products/services. End user trust and perception of privacy is paramount.
Powering Next Generation Data Architecture With Apache HadoopHortonworks
This document discusses how Apache Hadoop can be used to power next-generation data architectures. It provides examples of how Hadoop can be used by organizations like UC Irvine Medical Center to optimize patient outcomes while lowering costs by migrating legacy data to Hadoop and integrating it with new electronic medical records. It also describes how Hadoop can serve as an operational data refinery to modernize ETL processes and as a platform for big data exploration and visualization.
The topic of Big Data continues to gain momentum. This take, by Scot Wheeler, Sr. Director of Marketing Science at Critical Mass, was presented at the eMetrics conference in Boston, 10/1/2012.
Slides: Using Analytics and Fraud Management To Increase Revenues and Differe...DATAVERSITY
Fraud has many costs to a business, not only in terms of real dollars lost, but also in draining company resources investigating and prosecuting fraud and in reputational damage. For these reasons alone, companies should put systems and processes in place to combat fraud.
However, there are other extremely compelling strategic reasons why companies should implement fraud solutions which can help them gain competitive advantage, grow market share, increase profits, develop differentiated products, and implement more targeted and advantageous customer pricing.
This webinar will review the multiple business benefits for analyzing and combating fraud and the different approaches and best practices to analyzing data for fraud prevention. We will also review several real-life case studies where companies have used fraud analytics to win in the marketplace. Lastly, we will review different technology architectures to enable optimal fraud analytics and prevention.
Praktiline pilvekonverents - IT haldust hõlbustavad uuendusedPrimend
IT halduse lihtsustamiseks on lisandunud mitmeid mõnusaid uuendusi. Andres Nurk rääkis põhilisematest nagu: Windows Server 2016, Windows 10 E3, ATP, OMS. Uuenduste tuules on muutunud ka WinServeri litsentsimine. Aleksei Räim andis kiire ülevaate, mida peab silmas pidama.
Presented at eMetrics Boston 2012. Defines the organizational challenges and key performance indicators for those considering the applications of Big Data in their organization.
The Zen and Art of IT Management (VM World Keynote 2012)CA Technologies
This document discusses strategies for IT management to drive business innovation. It suggests allocating resources between maintaining current systems versus delivering new business services, with 63% of spending going towards the latter. Maintaining systems is seen as a "chore" while investing in new services enables innovation. It also discusses using tools like CA Service Assurance to improve efficiency, streamline processes, and increase capacity for innovation. Case studies show how these tools helped companies like Jack Henry & Associates and Wikimedia Foundation improve service quality and the user experience.
Research in the performance of business intelligence tools finds that most deployments serve less than 15% of the enterprise population requiring insights to make better decisions. Surprising then that corporations on average employ more than 15 different BI tools. The high cost and complexity to change means that many Enterprise BI software suites focus on answering questions that are already well understood. Learning lessons from previous deployments suggest the future of business intelligence lies in nimble tools that extend collaborative workspaces with ‘instant insight’.
Cisco Connect 2018 Malaysia - It transformation-an imperative for driving bus...NetworkCollaborators
The document discusses how technology is transforming industries and how business outcomes now rely on digital strategies. It outlines five key tenets of IT transformation: hybrid cloud, virtualized network, future-ready storage, analytics and big data, and multi-layered security. The Intel Xeon Scalable Platform is presented as providing performance, security, agility and lower total cost of ownership. Cisco and Intel are positioned as trusted partners for organizations undergoing IT transformation.
IGNITION: Winning data strategies for publishers by Todd Teresi/Quantcast Babbel
The document discusses the future of data use in media. It notes that first-party data that comes directly from publishers will become more important, and data usage will shift from being based on human hypotheses to automated modeling using machine learning. High-dimensional, comprehensive data sets that consider multiple attributes will be leveraged to develop sophisticated algorithms for targeted advertising. Performance and scale will be key attributes for effective data-driven targeting approaches.
IBM Information Management - Efter stormen: Uppnå konkurrenskraft och sänkta ...IBM Sverige
En lärdom som kan dras av den finansiella krisen är att vi måste bli bättre på att förutse framtiden och planera nästa steg. IBM Cognos lösningar för beslutsstöd hjälper dig att använda och analysera affärsinformation för att få insikt i verksamheten och framtiden. Vi berättar hur du kan använda information tillsammans med avancerade analyser för att simulera olika strategier för framgång. Presentationen hålls på engelska av
Juha Teljo, Information Agenda Expert, IBM
Denna presentation hölls på ett seminariepass för Information Management under IBM Software Day 2010.
BI at your fingertips - views also from Hariram Kalidas (GBM)Shwetank Jayaswal
Business intelligence solutions have become more integrated and easier for organizations to implement. They are no longer limited to just large tech companies, and more industries are using BI to improve decision making. As BI tools have advanced, trends like predictive analytics, big data, cloud-based services, and analytics focused on specific industries have emerged. Successful companies will be those that can organize themselves around analytics to drive differentiation from data.
Evaluating the opportunity for embedded ai in data productivity toolsNeil Raden
The document discusses embedding AI in data productivity tools. It notes that while AI applications get attention, opportunities to embed AI in tools to manage and interpret data may be overlooked. This could help address challenges in preparing large amounts of clean, AI-ready data at scale. The document summarizes experts' views, many of which support embedding AI in data pipelines and tools to improve data quality, integration and analytics. It provides examples of companies like Informatica, UnifiSoftware, Trifacta and Tamr that are infusing AI into their data integration and catalog offerings. The document argues that opportunities for AI to improve data management could boost overall AI success rates.
The document discusses big data and the need for a new data stack, Data Stack 3.0, to handle the variety, volume, and velocity of data. It notes that internet companies have already built their own data platforms to address similar problems at massive scale using open source software like Hadoop. Persistent Systems is presented as having expertise in big data through contributions to open source projects, pre-built solutions, and professional services to help enterprises implement big data solutions.
Decoding Organizational DNA: Trust, Data and Unlocking Value in the Digital W...Accenture Insurance
Accenture’s research into collecting employee data can help organizations get the most out of their employees and decode their organizational DNA. Learn more: https://www.accenture.com/us-en/insights/future-workforce/workforce-data-organizational-dna
1) While data has become more abundant, organizations must ensure they extract useful information from data to drive better decisions.
2) The rise of instrumented, interconnected and intelligent systems allows organizations to gain real-time insights from vast amounts of structured and unstructured data.
3) Leveraging predictive analytics and content analytics can help organizations move from reactive to predictive decision-making to optimize performance.
If you are a senior IT leader, you need to make the same kinds of disciplined choices for your department that the CEO and top leadership team are making about the strategic direction of the enterprise. Here's how to develop a sophisticated, more strategically oriented information technology approach--based on six ways to create value for the enterprise, and five archetypes that resolve the tension among those six value drivers.
Delivering ITaaS With a Software-Defined Data CenterEMC
This document discusses delivering IT as a service (ITaaS) using a software-defined data center (SDDC). Key points include:
1) ITaaS allows IT to quickly respond to changing business needs through standardized, virtualized solutions deployed on demand.
2) An SDDC enables automated, elastic provisioning of compute, storage, networking and security resources according to policies.
3) ITaaS positions IT as a strategic partner rather than just a support function, improving its ability to enable the business.
The Business Data Catalogue provides a method of integrating business data from back-end server applications, such as SAP or Siebel or other line of business applications, into Microsoft Office SharePoint Server 2007, without writing any code. Business Intelligence with Office SharePoint Server 2007 provides a framework for accessing that data, and for providing a toolset for business decision makers to turn the raw data into critical business information.
This presentation is designed to provide the audience with an overview of how BI can be used to create visual dashboards that assemble and display business information from multiple sources (e.g. Excel Services, SQL Reporting) using built-in web parts.
This is a business session and does not cover the technical implementation of BDC.
As the way we do business becomes more complex and changes more quickly, the gap between the top and bottom performers widens considerably (Source: Competitive Advantage from Better Interactions, by Scott C. Beardsley, Bradford C. Johnson and James M. Manyika). Across sectors, leaders such as Tesco, Procter & Gamble, Goldman Sachs, Apple and Google have one thing in common – they all have an unquenchable thirst for collecting vast amounts of data from everywhere, which is converted to actionable insights for smarter innovation, interactions, transactions.
IP&A109 Next-Generation Analytics Architecture for the Year 2020Anjan Roy, PMP
The document discusses next generation information architecture. It describes how traditional architectures are no longer sufficient to handle big data and varied sources. A next generation architecture features a data lake that stores all data in its native format without schema. It also includes an analytics fabric and cloud fabric to enable flexible, scalable analysis and lower costs. This architecture supports self-service analytics, predictive modeling, and real-time insights across diverse data.
The End of the Wild-West of Data – Relevance and Regulation: the Cornerstones...auexpo Conference
1) Big data is getting exponentially larger each year due to growth in social media, e-commerce, mobile devices, and the internet of things. However, the quality and relevance of data is more important than just the quantity.
2) When data is enriched by linking it to other contextual data sources and then visualized effectively, it can provide meaningful insights. However, regulations and privacy concerns must also be adequately addressed.
3) While big data can improve efficiency and business strategies, its primary benefit should be better customer service, experiences, and identification of new products/services. End user trust and perception of privacy is paramount.
Powering Next Generation Data Architecture With Apache HadoopHortonworks
This document discusses how Apache Hadoop can be used to power next-generation data architectures. It provides examples of how Hadoop can be used by organizations like UC Irvine Medical Center to optimize patient outcomes while lowering costs by migrating legacy data to Hadoop and integrating it with new electronic medical records. It also describes how Hadoop can serve as an operational data refinery to modernize ETL processes and as a platform for big data exploration and visualization.
The topic of Big Data continues to gain momentum. This take, by Scot Wheeler, Sr. Director of Marketing Science at Critical Mass, was presented at the eMetrics conference in Boston, 10/1/2012.
Slides: Using Analytics and Fraud Management To Increase Revenues and Differe...DATAVERSITY
Fraud has many costs to a business, not only in terms of real dollars lost, but also in draining company resources investigating and prosecuting fraud and in reputational damage. For these reasons alone, companies should put systems and processes in place to combat fraud.
However, there are other extremely compelling strategic reasons why companies should implement fraud solutions which can help them gain competitive advantage, grow market share, increase profits, develop differentiated products, and implement more targeted and advantageous customer pricing.
This webinar will review the multiple business benefits for analyzing and combating fraud and the different approaches and best practices to analyzing data for fraud prevention. We will also review several real-life case studies where companies have used fraud analytics to win in the marketplace. Lastly, we will review different technology architectures to enable optimal fraud analytics and prevention.
Praktiline pilvekonverents - IT haldust hõlbustavad uuendusedPrimend
IT halduse lihtsustamiseks on lisandunud mitmeid mõnusaid uuendusi. Andres Nurk rääkis põhilisematest nagu: Windows Server 2016, Windows 10 E3, ATP, OMS. Uuenduste tuules on muutunud ka WinServeri litsentsimine. Aleksei Räim andis kiire ülevaate, mida peab silmas pidama.
Disruptive Data Science - How Data Science and Big Data are Transforming Busi...EMC
The document discusses how CareCore National evolved to utilize data-driven transformations, highlighting EMC's analytics platforms, tools, and services that can assist organizations in building their data science capabilities and teams to leverage big data and drive business value through predictive analytics and data mining. It also outlines the key components needed for a successful analytics transformation, including establishing a clear vision, understanding platform dependencies, embracing unified analytics platforms, building data science skills, and delivering initial wins to socialize analytics.
Keynote #Enterprise - L'ouverture du Cloud Microsoft, transformation open sou...Paris Open Source Summit
#OSSPARIS15 - Keynote ENTERPRISE
L'ouverture du Cloud Microsoft, transformation open source et enjeux client
Intervenant :
Mark HILL, Microsoft
Frédéric AATZ, Microsoft
Introducing the Big Data Ecosystem with Caserta Concepts & TalendCaserta
This document summarizes a webinar presented by Talend and Caserta Concepts on the big data ecosystem. The webinar discussed how Talend provides an open source integration platform that scales to handle large data volumes and complex processes. It also overviewed Caserta Concepts' expertise in data management, big data analytics, and industries like financial services. The webinar covered topics like traditional vs big data, Hadoop and NoSQL technologies, and common integration patterns between traditional data warehouses and big data platforms.
The document discusses the tradeoffs involved in the decision to build a real-time streaming analytics (RTSA) platform in-house versus buying a pre-built solution from a vendor. Building internally provides more customization and control but risks delays and lack of expertise, while buying from a vendor is faster to implement but risks vendor lock-in. The document proposes a third alternative of using a platform like StreamAnalytix that is based on open source technologies but also provides enterprise-level support.
This document discusses applied data science and machine learning. It begins by introducing the author and then discusses machine learning concepts like learning from data and choosing the best predictive model. It explains that data science is about creating value from data using machine learning, analytics, and visualization. However, many companies struggle to operationalize data science projects and end up with only prototypes instead of production systems. The document outlines three common hurdles - oversimplifying requirements, focusing only on model accuracy instead of practicality, and having insufficient data engineering skills. It advocates for taking a more holistic, business-focused approach to applied data science.
WSO2 BAM is a big data analytics and monitoring tool that provides scalable data collection, storage, and processing. It allows users to analyze large and varied data sources, create visualizations and reports, and gain insights. The document discusses how BAM addresses big data problems through its scalable architecture based on Hadoop, Cassandra, and other open source technologies. It also outlines the tool's data flow process and provides examples of out-of-the-box monitoring and analytics solutions it enables for various applications and platforms.
Cloud Computing System models for Distributed and cloud computing & Performan...hrmalik20
Advantage of Clouds over Traditional
Distributed Systems,Clouds,Service-Oriented Architecture (SOA) Layered Architecture,Performance Metrics and Scalability Analysis,System Efficiency,Performance Challenges in Cloud Computing,What is cloud computing and why is it distinctive?,CLOUD SERVICE DELIVERY MODELS AND THEIR
PERFORMANCE CHALLENGES,Cloud computing security,What does Cloud Computing Security mean,Cloud Security Landscape,Distinctions between Security and Privacy,Energy Efficiency of Cloud Computing,How energy-efficient is cloud computing?
A1 keynote oracle_infrastructure_as_a_service_move_any_workload_to_the_cloudDr. Wilfred Lin (Ph.D.)
This document discusses Oracle IaaS and its strategy to run any type of enterprise workload in the cloud. It highlights Oracle's breadth of compute, storage, and networking offerings including bare metal servers, virtual machines, containers, and dedicated compute. It emphasizes Oracle's performance leadership and the ability to run demanding workloads due to its global infrastructure of regions, availability domains, and ultra low latency/high bandwidth. The document also discusses Oracle's engineered systems, Cloud at Customer offering, and tools for migration and workload portability including Ravello.
Joe Caserta was a featured speaker, along with MIT Sloan School faculty and other industry thought-leaders. His session 'You're the New CDO, Now What?' discussed how new CDOs can accomplish their strategic objectives and overcome tactical challenges in this emerging executive leadership role.
In its tenth year, the MIT CDOIQ Symposium 2016 continues to explore the developing role of the Chief Data Officer.
For more information, visit http://casertaconcepts.com/
Lambda Architecture and open source technology stack for real time big dataTrieu Nguyen
The document discusses the Lambda Architecture, which is an approach for building data systems to handle large volumes of real-time streaming data. It proposes using three main design principles: handling human errors by making the system fault-tolerant, storing raw immutable data, and enabling recomputation of results from the raw data. The document then provides two case studies of applying Lambda Architecture principles to analyze mobile app usage data and process high-volume web logs in real-time. It concludes with lessons learned, such as studying Lambda concepts, collecting any available data, and turning data into useful insights.
Pilveteenuste kasutamine võimaldab minutitega käivitada projekti, millele varem kulus nädalaid. Vajate müügikampaania toetamiseks lehte, mis suudab teenindada 100 tuhat kasutajat – käivita teenus kohe! Vajate terabaitide analüüsiks kiiret platvormi – käivita teenus kohe! Azure on töökindel ja kiire!
Smarter Analytics and Big Data
Building The Next Generation Analytical insights
Joel Waterman, Regional Director of Business Analytics for the Middle East and Africa, discusses how IBM is making significant investments in smarter analytics and big data through acquisitions, technical expertise, and research. IBM's big data platform moves analytics closer to data through technologies like Hadoop, stream computing, and data warehousing. The platform is designed for analytic application development and integration using accelerators, user interfaces, and IBM's ecosystem of business partners.
This document provides information about IBM's Business Analytics software. It discusses how the volume, variety and velocity of data is growing exponentially creating opportunities and challenges for organizations. It highlights IBM's investments in analytics, big data, and acquisitions to help clients gain insights from both structured and unstructured data. Examples are given of how IBM is helping clients in industries like healthcare, retail, telecommunications, and government to solve complex problems and make smarter data-driven decisions.
Day 2 aziz apj aziz_big_datakeynote_pressIntelAPAC
This document summarizes Aziz Safa's presentation on Intel's adoption of big data, cloud, and IoT technologies. It discusses how innovative companies are leveraging big data to create disruptive business models and enhance customer experience. Lower costs of computing and storage as well as the growth of unstructured data are driving big data adoption. However, only a small percentage of available data is currently being analyzed due to legacy techniques being insufficient. Intel proposes a unified big data approach to capture, store, manage, and analyze all data types. Advanced analytics applied to big data can provide a competitive advantage if companies build the right skills and move quickly.
The document discusses the rise of big data and why it is important for organizations now. It notes that the volume of data is growing exponentially and will soon reach zettabytes in size. However, most of this data is unstructured and many business leaders do not have access to all the information they need or do not fully trust the information they have. The traditional approach of having IT design structured solutions based on business requirements is no longer sufficient. Instead, the document advocates a big data approach where organizations explore and analyze all available data sources using a platform to discover new insights in an iterative manner and determine new questions to ask. IBM's big data platform is presented as a solution to address these needs by handling large volumes,
Kim Escherich - How Big Data Transforms Our WorldBigDataViz
This document discusses how big data is transforming our world. It notes that the volume and velocity of data is exploding, with more connected devices, sensors, and digital interactions creating petabytes and zettabytes of data. It also discusses how this data can provide insights if analyzed for patterns and trends using advanced analytics. Examples are given of how big data insights can help businesses innovate new products, optimize operations in real-time, better understand customer behavior, and more effectively measure risk and fraud.
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.
To watch the recorded on-demand web seminar go to http://alturl.com/ts8ws
Discover the true value of deploying mobile business intelligence in your organization, including next generation mobile analytics solutions from IBM and DataClarity for the iPad, iPhone, and Android-based tablets and phones.
Mobile Business Intelligence is becoming one of the most important battlegrounds for transforming decision-making and achieving competitive advantage. According to Gartner, by 2013, 33% of Business Intelligence functionality will be consumed via handheld devices. Unleashing mobile has tremendous potential for any organization, but business leaders still need to gain a better understanding of the value of mobile analytics and how the effective use of mobile analytics can enable their businesses to improve efficiency and run better.
Learn more: www.CognosDashboards.com
Inspiring Analytics: Tips and Examples for Achieving Better Business, Not Jus...SAP Analytics
http://spr.ly/SBOUC_VP - The last few years have seen massive changes in analytics technology, but organizations often struggle to take full advantage of these changes because they are focused on existing ways of working rather than future possibilities. This presentation aims to educate, entertain, and inspire, with a wide range of examples of how people have used brand-new technology (big data, social analytics, mobile analytics, etc.) not only to remove existing analytics bottlenecks, but also rethink business processes and flip industry business models.
Presenter: Timo Elliott, SAP
The objective of this module is to provide an overview of what the future impacts of big data are likely to be.
Upon completion of this module you will:
Gain valuable insight into the predictions for the future of Big Data
Be better placed to recognise some of the trends that are emerging
Acquire an overview of the possible opportunities your business can have with Big Data
Understand some of the start up challenges you might have with Big Data
1) The document discusses findings from research on how organizations are using big data.
2) It finds that nearly two-thirds of respondents realize a competitive advantage from analytics and information, including big data. Customer analytics are driving most big data initiatives.
3) Big data requires a scalable infrastructure and integrated data foundations. Initial efforts focus on analyzing existing internal data sources like transactions and emails. Strong analytics capabilities and skills are also needed to generate insights from big data.
The objective of this module is to take a look into what big data can bring you in the future.
Upon completion of this module you will:
- See what are the predictions for the future of Big Data
- Take a look at some trends that are emerging
- Get an overview of possible opportunities your company can have with Big Data
- Face some of the start up challenges you might have with Big Data
Duration of the module: approximately 1 – 2 hours
The document discusses various topics related to data, analytics, and AI. It mentions that data governance is important but difficult for companies to implement. It also discusses the importance of external data sources and data engineering. One section describes a project that used various Google Cloud APIs to automate video and text translations. Another section reports that companies on average spend $1.06 million on AI and machine learning initiatives and use it most commonly for data analytics. The document promotes following its weekly vlog for similar content.
Business in the Moment: From Reactive to ProactiveSAP Analytics
Keynote presentation from ANZ SAP Innovation Forums and BI Briefings Tour: An overview of SAP’s five market categories. Learn more at: http://bit.ly/Lj18rw
Every now and then something comes along that has the potential to change the face of business as we know it. Currently big data is being touted as that thing, and CIOs everywhere need to get a grip on what it is and how it can benefit their company.
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.
Big data is growing rapidly due to new sources of customer data from online platforms, mobile devices, and machine-to-machine communication. This creates challenges for companies around managing increasing data volumes, varieties, and velocities. The document discusses how some companies are using big data to better understand customers, increase profits, and gain a competitive advantage. It also notes that big data initiatives require business leadership and clear use cases to be successful.
Top 10 Disruptive Big Data Trends for 2022Kavika Roy
https://www.datatobiz.com/blog/big-data-trends/
The global big data market revenue is projected to hit the 103 billion US dollar mark by 2027. With more than 2.5 quintillion bytes of data being generated daily it is more than safe to assume that Big Data is gearing up for changing the way we think.
Here are Top 10 Big Data Trends for 2022: Revolutionizing the Core of Modern Business Landscape
Analytics: The Real-world Use of Big DataDavid Pittman
UPDATE: Register now to participate in the 2013 survey: http://ibm.com/2013bigdatasurvey IBM’s Institute for Business Value (IBV) and the University of Oxford released their information-rich and insightful report “Analytics: The real-world use of big data.” Based on a survey of over 1000 professionals from 100 countries across 25+ industries, the report provides insights into organizations’ top business objectives, where they are in their big data journey, and how they are advancing their big data efforts. It also provides a pragmatic set of recommendations to organizations as they proceed down the path of big data. For additional information, including links to a podcast with one of the lead researchers and a link to download the full report, visit http://ibm.co/RB14V0
The document discusses delivering data governance with data intelligence software. It begins with introductions of the authors and an agenda for the discussion. It then outlines how data in the digital transformation era is dynamic, diverse and distributed across hybrid cloud environments. This complexity leads to inefficiencies like 81% of time being spent searching for and preparing data with only 20% left for analysis. Data intelligence software can help by providing data discovery, cataloging and profiling to answer the "5 W's of data" and build trust. The document prescribes a three step plan for organizations to deliver trusted data using data intelligence software: 1) discover and clean data, 2) organize and empower data stewards, 3) automate and enable self service access
What's New in WebSphere Application ServerCOMMON Europe
This document discusses features of IBM Power Systems and WebSphere Application Server. It provides an agenda that covers WebSphere Application Server V8.0, V8.5 and new installation features. It also summarizes the WebSphere Application Server family and capabilities for developing, deploying and managing applications.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
1) Power systems are increasingly virtualized, but IBM i currently lacks a way to control workloads on a system and cap specific workloads to prevent overrunning system capacity.
2) Workload groups would allow users to set the amount of processing capacity for a workload, capping it to a specified number of processors. This provides workload control and ensures unstable jobs do not impact performance.
3) Workload groups also help control licensing costs by allowing products to be licensed for less cores than the partition contains and enforcing that product is limited to the licensed number of cores.
The document discusses the benefits of IBM's Power Systems and IBM i operating system. It highlights how IBM i is designed for business needs by being totally integrated, providing legendary reliability, being virtualized by design, and enabling growth without disruption. It provides examples of customers like G.A.F. Seelig and Pantheon Automation that have benefited from lower costs, improved productivity and performance, and better support using IBM Power Systems and IBM i.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
IBM Systems Director Navigator for i is a new web-based console for managing IBM Power Systems running IBM i 6.1 or 7.1. It contains over 300 tasks from the web-enabled functions of System i Navigator, organized into 13 categories. Additional functions from purchased LPPs like iHASM and BRMS will also be available when installed. While it includes most System i Navigator capabilities, it is initially missing some database and disk management functions, though disk management was improved in 7.1. IBM Systems Director Navigator for i is included with the operating system at no extra charge.
IBM i Trends & Directions Common Europe 2012COMMON Europe
IBM is working to enable a Smarter Planet through technologies like Big Data and optimized systems tuned for specific workloads. IBM i continues to enhance the platform through strategies that lower costs and improve flexibility. Recent developments include the Power Systems architecture and PureSystems platforms, which integrate expertise across infrastructure to improve efficiency, flexibility and simplified management.
IBM i Technology Refreshes Overview 2012 06-04COMMON Europe
IBM Power Systems introduces Technology Refreshes which provide a means to deliver operating system enhancements through PTF groups to installed releases of IBM i. A Technology Refresh includes PTFs that enable new hardware, firmware, and virtualization capabilities. It consists of a Technology Refresh PTF group and Cumulative PTF package that are tested and delivered together to provide new functionality in a manner less disruptive than a full release upgrade.
IBM Power Systems is designed for business. Major releases in the Power Systems era include IBM i 6.1, which introduced foundations for the future like solid state drive support, a Java virtual machine, and Systems Director Navigator. IBM i 6.1 also improved Java and WebSphere performance by up to 78% compared to prior releases. Customers saw benefits from migrating to newer Power Systems servers running IBM i, like reduced costs, improved reliability, and being positioned for growth.
DB2 Web Query for i is a web-based query and reporting tool that provides a modernized interface for accessing data in DB2 for i. Version 2.1 introduces simplified packaging and new features like improved mobility support, integrated report scheduling, and a consolidated development tool called InfoAssist. The application integration extension allows integrating DB2 Web Query reports and analytics into other applications through a simple URL interface to improve business intelligence capabilities.
This document provides an overview of IBM Power Systems and the next generation of IBM i Access. It discusses IBM's systems management strategy including the Hardware Management Console (HMC) and IBM Systems Director. It also outlines the IBM i Access family of products, including IBM i Access for Windows, IBM i Access for Web, and the new IBM i Access Client Solutions. The document reviews the product's configuration, console, data transfer, 5250 emulation, and deployment options. It notes that a closed beta of the new client is currently underway with a technology preview planned for July 2012.
The document provides an overview of Zend Server 5 for IBM i. It discusses Zend's relationship with IBM, the technical overview of Zend Server, the installation process, features of the community edition including the toolkit and optimizer, and features of the commercial edition such as application monitoring, code tracing, and job queue capabilities. The document is intended for an audience that uses PHP somewhere else, is new to Zend PHP, or wants to understand Zend's strategic direction with IBM i.
IBM has made major investments in RPG over many years to continually enhance and modernize it. Key updates include adding free-form syntax and object-oriented capabilities, expanding the supported data types and built-in functions, improving readability and interoperability with technologies like Java and XML, and maintaining performance and compatibility on IBM Power Systems. RPG remains a strategic language for IBM and its users.
This document summarizes a presentation on using arrays in PHP for RPG programmers. The presentation introduces different types of PHP arrays, such as enumerated, associative, and multidimensional arrays. It compares PHP arrays to RPG arrays and shows how PHP arrays are more dynamic, with no size limits and the ability to dynamically add and remove elements. The presentation also demonstrates various PHP array functions, such as sorting, searching, and manipulating elements, and provides examples of how RPG functions map to similar PHP functions. It suggests ways to debug arrays and formats sample code.
Open source report writing tools for IBM i Vienna 2012COMMON Europe
The document is a presentation on open source report writing tools for IBM i systems. It discusses traditional RPG reporting approaches, designing reports using reporting tools like Jasper Reports, integrating open source tools with RPG, and deployment strategies. The presentation includes code examples of generating reports with traditional RPG and with Jasper Reports via the iText library.
IBM Power Systems provides an overview of moving from IBM i V5R4 to 7.1. Key points include:
- IBM i 7.1 is the latest release and provides significant enhancements over prior versions.
- Moving directly from V5R4 to 7.1 is supported, though multiple upgrades may be required from earlier versions.
- A technology refresh is simpler than a major release and provides new functions without disruption.
- Planning is required to understand version dependencies and ensure a smooth upgrade path.
The document discusses MySQL and how it can be used on IBM i systems. It provides an overview of MySQL, how to install Zend DBi which provides MySQL for IBM i, and how to use various interfaces like the MySQL command line and phpMyAdmin to interact with and manage MySQL databases. It also describes how the IBM DB2 Storage Engine allows MySQL data to be stored directly in DB2 tables.
This document discusses IBM's vision for smarter computing through the integration of big data, optimized systems, and cloud computing. It highlights how companies are leveraging large volumes of data and analytics to gain business insights. IBM focuses on improving storage efficiency and management to help clients meet service levels while reducing costs in the face of rapidly growing data. Solid state disks are presented as a way to address the performance and capacity challenges of magnetic disks for storing large amounts of data.
This document provides an overview of getting started with PHP on IBM i. It discusses understanding the PHP universe and stack, installing Zend Server and Zend Studio, and getting productive with PHP on IBM i through sample scripts. The key steps are installing Zend Server, configuring it, installing Zend Studio, connecting to databases and files on IBM i, and writing simple PHP scripts to output "Hello World" and retrieve data from a database.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Ocean lotus Threat actors project by John Sitima 2024 (1).pptxSitimaJohn
Ocean Lotus cyber threat actors represent a sophisticated, persistent, and politically motivated group that poses a significant risk to organizations and individuals in the Southeast Asian region. Their continuous evolution and adaptability underscore the need for robust cybersecurity measures and international cooperation to identify and mitigate the threats posed by such advanced persistent threat groups.
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
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.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
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.
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
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.
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.
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.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.