This document discusses big data and the challenges of integrating structured and unstructured data sources. It provides examples of big data use cases in various industries. It then introduces Greenplum as a platform for big data analytics that can handle high volumes, varieties and velocities of data using its massively parallel processing architecture. Greenplum allows for both SQL and MapReduce processing to enable real-time insights from large and diverse datasets.
The document discusses how the IBM zEnterprise system can provide benefits for healthcare organizations by helping them improve operational effectiveness, achieve better quality and outcomes, and enable collaborative care. It highlights key capabilities of the zEnterprise system like cost savings, security, availability, efficiency and scalability. The system allows consolidation of platforms and simplification of IT infrastructure to help healthcare providers reduce complexity and costs while improving services.
Oracle India Mop Delegation Visit to Colorado 051611chandyGhosh
The document discusses key trends transforming the utility industry and Oracle's smart utility platform. It outlines trends like smart grid investments, intermittent renewables, aging assets, and increased data. It then describes Oracle's platform for addressing these trends with solutions for core utility functions, integration, and foundational technologies. The platform aims to maximize data value through analytics, grid optimization, and improved asset and workforce management.
The document discusses big data and how Intel technologies can help address challenges with big data. It defines big data in terms of volume, velocity, and variety of data. It then discusses how Intel Xeon processors provide benefits like improved performance, reduced costs, and support for large-scale analytics. Customer case studies show how Intel and AWS enable big data use cases in areas like life sciences, log analytics, and social networking.
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.
Corporate Senior Vice President, Noriyuki Toyoki, shares Fujitsu’s vision of the increasingly prevalent role technology takes in our daily lives. Everything you ever wanted to know about big data, smart grids, supercomputing and how they can support society through disaster recovery, healthcare ICT and food production - to create a human centric intelligent society.
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.
IBM collaborates with government leaders to transform services, improve outcomes of social programs, facilitate global trade, protect borders and enhance public safety.
Managing Information Technology Servicesmichaelmadsen
1. The document discusses the increasing pressure faced by IT organizations to justify costs and demonstrate value to the business. It describes various external factors like commoditization of technology as well as internal factors driving this pressure.
2. Adopting a services approach provides a framework for IT organizations to address challenges by focusing on customer needs and satisfaction. A services model defines what the IT organization delivers and gets in return through services.
3. The benefits of a services approach include helping the IT organization communicate value, align with business needs, and identify required capabilities. It also provides a basis for comparing internal and external service providers.
The document discusses how the IBM zEnterprise system can provide benefits for healthcare organizations by helping them improve operational effectiveness, achieve better quality and outcomes, and enable collaborative care. It highlights key capabilities of the zEnterprise system like cost savings, security, availability, efficiency and scalability. The system allows consolidation of platforms and simplification of IT infrastructure to help healthcare providers reduce complexity and costs while improving services.
Oracle India Mop Delegation Visit to Colorado 051611chandyGhosh
The document discusses key trends transforming the utility industry and Oracle's smart utility platform. It outlines trends like smart grid investments, intermittent renewables, aging assets, and increased data. It then describes Oracle's platform for addressing these trends with solutions for core utility functions, integration, and foundational technologies. The platform aims to maximize data value through analytics, grid optimization, and improved asset and workforce management.
The document discusses big data and how Intel technologies can help address challenges with big data. It defines big data in terms of volume, velocity, and variety of data. It then discusses how Intel Xeon processors provide benefits like improved performance, reduced costs, and support for large-scale analytics. Customer case studies show how Intel and AWS enable big data use cases in areas like life sciences, log analytics, and social networking.
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.
Corporate Senior Vice President, Noriyuki Toyoki, shares Fujitsu’s vision of the increasingly prevalent role technology takes in our daily lives. Everything you ever wanted to know about big data, smart grids, supercomputing and how they can support society through disaster recovery, healthcare ICT and food production - to create a human centric intelligent society.
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.
IBM collaborates with government leaders to transform services, improve outcomes of social programs, facilitate global trade, protect borders and enhance public safety.
Managing Information Technology Servicesmichaelmadsen
1. The document discusses the increasing pressure faced by IT organizations to justify costs and demonstrate value to the business. It describes various external factors like commoditization of technology as well as internal factors driving this pressure.
2. Adopting a services approach provides a framework for IT organizations to address challenges by focusing on customer needs and satisfaction. A services model defines what the IT organization delivers and gets in return through services.
3. The benefits of a services approach include helping the IT organization communicate value, align with business needs, and identify required capabilities. It also provides a basis for comparing internal and external service providers.
The document discusses the disruption of big data and summarizes key points:
- Big data refers to the exponential growth and availability of structured and unstructured data from various sources, including social media, sensors, and business transactions.
- The growth of big data is placing new demands on hardware and challenging traditional economics for data management and analysis.
- Intel's Xeon processors are helping customers harness the power of big data by providing increased performance for technical computing and real-world applications.
IBM’s distribution sector industry value proposition: IBM collaborates with distributors to help improve customers’ experiences, optimize operations and supply chains, and drive organizational efficiencies.
IBM's zEnterprise system provides a smarter computing infrastructure for a smarter planet. It enables large-scale consolidation through a private cloud with efficiency, security, and analytics capabilities. The zEnterprise can run hundreds or thousands of workloads on a single system with high utilization rates. It also delivers unmatched security and reliability for critical applications and data through its built-in redundancy and certifications. Further, with technologies like the IBM DB2 Analytics Accelerator, the zEnterprise integrates operational and analytical workloads to deliver real-time insights for optimized decision making.
1. The stock broking firm Asit C Mehta Investment Intermediates Ltd deployed the MAIA 1Key business intelligence solution to help ease the load on their IT department from a large number of daily data and report requests from users.
2. The company evaluated MAIA 1Key and found that it could help generate reports and access data more efficiently for business users in a user-friendly manner.
3. After a successful proof of concept and pilot implementation, the company is now in the final stages of a full deployment of MAIA 1Key to standardize reporting and data access across the organization.
The document discusses 10 emerging technology trends that organizations cannot afford to ignore, including virtualization, big data and data management challenges, energy efficiency and green IT initiatives, and the rise of consumerization and social software both within and outside of enterprises. It provides an overview of each trend, how it will impact organizations, and what actions they should take over the next few years to prepare for and address these evolving technologies.
Intel Social Computing & Sustainability IssuesUmair Mohsin
Intel IT's social computing initiative aims to improve knowledge sharing and collaboration among employees. Key aspects include establishing a suite of social tools for finding experts, sharing ideas, and enriching communications. The goals are to break down information silos, engage younger employees, and mitigate the impact of a maturing workforce. Intel IT is also focusing on the highest impact sustainability opportunities like data center optimization and energy efficient PCs to reduce resource consumption and waste.
IBM Storage Strategy in the Era of Smarter ComputingTony Pearson
This document discusses IBM's storage strategy in the era of smarter computing. It explains how IBM's storage products are designed for data, tuned to specific workloads, and managed with cloud technologies. Storage is designed for data by enabling insights from big data through features like real-time compression and deduplication. Products are tuned to tasks by matching workloads with optimized platforms. Storage is managed with cloud technologies through integrated service management and flexible sourcing options like public clouds.
The document outlines 10 steps for dealers to transform into hybrid dealers that can offer managed print services (MPS). The steps include strengthening internal identity and infrastructure, developing a vendor and market strategy, and positioning MPS to current and potential clients through various promotional methods, with a focus on marketing to CFOs. The goal is for dealers to combine traditional copier dealer strengths with IT capabilities to address industry trends of print convergence with IT and develop recurring revenue through MPS.
Cloud Computing: da curiosidade para casos reaissoudW
This document discusses trends in cloud computing and its benefits. It defines cloud as a new consumption and delivery model for IT services that relies on industrialization of delivery. Cloud computing enables benefits like self-service, flexibility, cost savings, and increased visibility through combining virtualization, standardization, automation, and self-service. It can be deployed privately within an enterprise, as a public cloud model over the internet, or as a hybrid model. Cloud provides a range of service models from infrastructure to applications.
E Business Integration. Enabling the Real Time EnterpriseJohan Blomme
The document discusses the transition to the real-time enterprise and the importance of integration, collaboration, and personalization. It notes that businesses must replace industrial-age strategies with real-time processes based on information. To compete in the new economy, companies must focus on customer experiences and knowledge across the entire value chain. Real-time data integration and business intelligence are essential for enabling personalization, predictive analytics, and a proactive, customer-centric approach.
Green IT - a Marketing Term or Sustainable Business, part 1MatsBerglind
The ICT industry is accountable for 2% of the global CO2 emissions. But can IT be an enabler to reduce the remaining 98%? This theme session presents case studies showing that it is possible, with the help of modern IT tools, to improve efficiency, track origin of raw material and help reduce the environmental impact.
Big Data Whitepaper - Streams and Big Insights Integration PatternsMauricio Godoy
This document discusses designing integrated applications across IBM InfoSphere Streams and IBM InfoSphere BigInsights to address challenges posed by big data. It describes three main application scenarios for the integration: 1) scalable data ingest from Streams to BigInsights, 2) using historical context from BigInsights to bootstrap and enrich real-time analytics on Streams, and 3) generating adaptive analytics models on BigInsights to analyze incoming data on Streams and updating models based on real-time observations.
Accenture Communications Research Pts Digital Lifestyle To Digital Lifeblood[1]khogan25
Communications & High Tech
As technology becomes more integral to consumers' lives, they increasingly need technology to work well and reliably. Providing technology services that meet consumers' needs represents a major market opportunity. However, it also poses challenges due to the complex technology landscape and high expectations of users. Key considerations for providers include viewing this as supporting a changing ecosystem, specializing services for specific customer segments, ensuring convenience for users, and providing consistent, high-quality support through an industrial-strength solution.
The document discusses two key market trends that Juniper is focused on: cloud computing and mobile internet. It notes that virtualization is not the same as cloud computing. The cloud delivers services over the network and provides benefits like elasticity, agility, and efficiency through dynamically shared resource pools. The document also discusses how the rise of mobility is redefining business practices and creating demand for more advanced data center capabilities, with data centers beginning to build cloud environments.
Cloud Computing: da curiosidade para casos reaissoudW
The document discusses how cloud computing is becoming an increasingly important technology trend. It summarizes how standardization, automation, and self-service have changed other industries by making them more efficient. Cloud computing relies on these same principles of industrialization to deliver IT services in a standardized, automated, and self-service manner. This enables benefits like lower costs, improved efficiency, and increased flexibility for both IT organizations and business users. The trends driving greater adoption of cloud include factors like virtualization, infrastructure utilization, and cost reduction. Both IT and business users are attracted to cloud computing but for different reasons - IT sees benefits around efficiency and control while business users value the simplified, self-service experience and new capabilities cloud enables.
Cloud Computing: da curiosidade para casos reaissoudW
The document discusses key trends in cloud computing and IT. It notes that cloud relies on virtualization, standardization, automation, and self-service. Together these enable flexibility, increased efficiency, rapid deployment, repeatable configurations, and improved user control over costs and services. The document also discusses how various analysts rank cloud computing, virtualization, mobile, analytics, and security as top trends.
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.
Robert Guidotti, General Manager of IBM Software Sales, discussed IBM's software strategy and key initiatives for 2013. The presentation highlighted how IBM software helps clients address business needs such as turning information into insights, enabling agile business, accelerating innovation, optimizing IT infrastructure, and managing risk. It also overviewed IBM's focus on mobile, cloud, analytics, commerce, social business, and smarter cities technologies. Guidotti emphasized how IBM software leverages technologies like big data, analytics, mobile, social and cognitive computing to help organizations transform.
Sales And Marketing Strategies For Sm Es By Ashim Bose Of The Aktion GroupNasscom Chennai
The document provides an overview of small and medium enterprises (SMEs) in India and strategies for SMEs to market and sell to customers. It notes that SMEs constitute 60% of India's GDP and discusses trends in IT spending, internet connectivity, and priorities among SME customers. The document also discusses strategies for SMEs to position themselves, analyze deals and customers, and focus on building relationships. Key recommendations include aligning offerings to customer priorities, understanding who controls the buying process, and focusing on innovation, continuous improvement, and exceeding customer expectations.
This document discusses the transformation of IT backup and recovery due to trends in data growth and regulations. It presents EMC's backup solutions including Data Domain for disk-based backup with deduplication, Avamar for fast VMware backups, and NetWorker for centralized backup management. These solutions provide faster backups, recovery and scalability compared to traditional tape-based systems. Case studies show customers achieving up to 98% data reduction, replacing tapes completely and saving over $200k annually with EMC's backup products.
The document discusses desktop virtualization and cloud computing. It notes how workstyles have shifted from PC-based to mobile-based as cloud services have become more prevalent. It outlines different types of clouds including personal, private, and public clouds. It also discusses how mobile workstyles can access cloud services from any device and any cloud, with considerations for security, collaboration, integration and professional services.
This document discusses IT-as-a-Service (ITaaS) and how IT departments can leverage cloud technologies to accelerate business agility. The goal of ITaaS is to provide business users with flexible, on-demand access to IT services through a self-service catalog. This represents a shift from traditional IT support models to a more consumer-oriented service model. Achieving ITaaS requires new technology, consumption, and operations models centered around private and public cloud infrastructure, security, standardization, automation, and financial transparency.
The document discusses the disruption of big data and summarizes key points:
- Big data refers to the exponential growth and availability of structured and unstructured data from various sources, including social media, sensors, and business transactions.
- The growth of big data is placing new demands on hardware and challenging traditional economics for data management and analysis.
- Intel's Xeon processors are helping customers harness the power of big data by providing increased performance for technical computing and real-world applications.
IBM’s distribution sector industry value proposition: IBM collaborates with distributors to help improve customers’ experiences, optimize operations and supply chains, and drive organizational efficiencies.
IBM's zEnterprise system provides a smarter computing infrastructure for a smarter planet. It enables large-scale consolidation through a private cloud with efficiency, security, and analytics capabilities. The zEnterprise can run hundreds or thousands of workloads on a single system with high utilization rates. It also delivers unmatched security and reliability for critical applications and data through its built-in redundancy and certifications. Further, with technologies like the IBM DB2 Analytics Accelerator, the zEnterprise integrates operational and analytical workloads to deliver real-time insights for optimized decision making.
1. The stock broking firm Asit C Mehta Investment Intermediates Ltd deployed the MAIA 1Key business intelligence solution to help ease the load on their IT department from a large number of daily data and report requests from users.
2. The company evaluated MAIA 1Key and found that it could help generate reports and access data more efficiently for business users in a user-friendly manner.
3. After a successful proof of concept and pilot implementation, the company is now in the final stages of a full deployment of MAIA 1Key to standardize reporting and data access across the organization.
The document discusses 10 emerging technology trends that organizations cannot afford to ignore, including virtualization, big data and data management challenges, energy efficiency and green IT initiatives, and the rise of consumerization and social software both within and outside of enterprises. It provides an overview of each trend, how it will impact organizations, and what actions they should take over the next few years to prepare for and address these evolving technologies.
Intel Social Computing & Sustainability IssuesUmair Mohsin
Intel IT's social computing initiative aims to improve knowledge sharing and collaboration among employees. Key aspects include establishing a suite of social tools for finding experts, sharing ideas, and enriching communications. The goals are to break down information silos, engage younger employees, and mitigate the impact of a maturing workforce. Intel IT is also focusing on the highest impact sustainability opportunities like data center optimization and energy efficient PCs to reduce resource consumption and waste.
IBM Storage Strategy in the Era of Smarter ComputingTony Pearson
This document discusses IBM's storage strategy in the era of smarter computing. It explains how IBM's storage products are designed for data, tuned to specific workloads, and managed with cloud technologies. Storage is designed for data by enabling insights from big data through features like real-time compression and deduplication. Products are tuned to tasks by matching workloads with optimized platforms. Storage is managed with cloud technologies through integrated service management and flexible sourcing options like public clouds.
The document outlines 10 steps for dealers to transform into hybrid dealers that can offer managed print services (MPS). The steps include strengthening internal identity and infrastructure, developing a vendor and market strategy, and positioning MPS to current and potential clients through various promotional methods, with a focus on marketing to CFOs. The goal is for dealers to combine traditional copier dealer strengths with IT capabilities to address industry trends of print convergence with IT and develop recurring revenue through MPS.
Cloud Computing: da curiosidade para casos reaissoudW
This document discusses trends in cloud computing and its benefits. It defines cloud as a new consumption and delivery model for IT services that relies on industrialization of delivery. Cloud computing enables benefits like self-service, flexibility, cost savings, and increased visibility through combining virtualization, standardization, automation, and self-service. It can be deployed privately within an enterprise, as a public cloud model over the internet, or as a hybrid model. Cloud provides a range of service models from infrastructure to applications.
E Business Integration. Enabling the Real Time EnterpriseJohan Blomme
The document discusses the transition to the real-time enterprise and the importance of integration, collaboration, and personalization. It notes that businesses must replace industrial-age strategies with real-time processes based on information. To compete in the new economy, companies must focus on customer experiences and knowledge across the entire value chain. Real-time data integration and business intelligence are essential for enabling personalization, predictive analytics, and a proactive, customer-centric approach.
Green IT - a Marketing Term or Sustainable Business, part 1MatsBerglind
The ICT industry is accountable for 2% of the global CO2 emissions. But can IT be an enabler to reduce the remaining 98%? This theme session presents case studies showing that it is possible, with the help of modern IT tools, to improve efficiency, track origin of raw material and help reduce the environmental impact.
Big Data Whitepaper - Streams and Big Insights Integration PatternsMauricio Godoy
This document discusses designing integrated applications across IBM InfoSphere Streams and IBM InfoSphere BigInsights to address challenges posed by big data. It describes three main application scenarios for the integration: 1) scalable data ingest from Streams to BigInsights, 2) using historical context from BigInsights to bootstrap and enrich real-time analytics on Streams, and 3) generating adaptive analytics models on BigInsights to analyze incoming data on Streams and updating models based on real-time observations.
Accenture Communications Research Pts Digital Lifestyle To Digital Lifeblood[1]khogan25
Communications & High Tech
As technology becomes more integral to consumers' lives, they increasingly need technology to work well and reliably. Providing technology services that meet consumers' needs represents a major market opportunity. However, it also poses challenges due to the complex technology landscape and high expectations of users. Key considerations for providers include viewing this as supporting a changing ecosystem, specializing services for specific customer segments, ensuring convenience for users, and providing consistent, high-quality support through an industrial-strength solution.
The document discusses two key market trends that Juniper is focused on: cloud computing and mobile internet. It notes that virtualization is not the same as cloud computing. The cloud delivers services over the network and provides benefits like elasticity, agility, and efficiency through dynamically shared resource pools. The document also discusses how the rise of mobility is redefining business practices and creating demand for more advanced data center capabilities, with data centers beginning to build cloud environments.
Cloud Computing: da curiosidade para casos reaissoudW
The document discusses how cloud computing is becoming an increasingly important technology trend. It summarizes how standardization, automation, and self-service have changed other industries by making them more efficient. Cloud computing relies on these same principles of industrialization to deliver IT services in a standardized, automated, and self-service manner. This enables benefits like lower costs, improved efficiency, and increased flexibility for both IT organizations and business users. The trends driving greater adoption of cloud include factors like virtualization, infrastructure utilization, and cost reduction. Both IT and business users are attracted to cloud computing but for different reasons - IT sees benefits around efficiency and control while business users value the simplified, self-service experience and new capabilities cloud enables.
Cloud Computing: da curiosidade para casos reaissoudW
The document discusses key trends in cloud computing and IT. It notes that cloud relies on virtualization, standardization, automation, and self-service. Together these enable flexibility, increased efficiency, rapid deployment, repeatable configurations, and improved user control over costs and services. The document also discusses how various analysts rank cloud computing, virtualization, mobile, analytics, and security as top trends.
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.
Robert Guidotti, General Manager of IBM Software Sales, discussed IBM's software strategy and key initiatives for 2013. The presentation highlighted how IBM software helps clients address business needs such as turning information into insights, enabling agile business, accelerating innovation, optimizing IT infrastructure, and managing risk. It also overviewed IBM's focus on mobile, cloud, analytics, commerce, social business, and smarter cities technologies. Guidotti emphasized how IBM software leverages technologies like big data, analytics, mobile, social and cognitive computing to help organizations transform.
Sales And Marketing Strategies For Sm Es By Ashim Bose Of The Aktion GroupNasscom Chennai
The document provides an overview of small and medium enterprises (SMEs) in India and strategies for SMEs to market and sell to customers. It notes that SMEs constitute 60% of India's GDP and discusses trends in IT spending, internet connectivity, and priorities among SME customers. The document also discusses strategies for SMEs to position themselves, analyze deals and customers, and focus on building relationships. Key recommendations include aligning offerings to customer priorities, understanding who controls the buying process, and focusing on innovation, continuous improvement, and exceeding customer expectations.
This document discusses the transformation of IT backup and recovery due to trends in data growth and regulations. It presents EMC's backup solutions including Data Domain for disk-based backup with deduplication, Avamar for fast VMware backups, and NetWorker for centralized backup management. These solutions provide faster backups, recovery and scalability compared to traditional tape-based systems. Case studies show customers achieving up to 98% data reduction, replacing tapes completely and saving over $200k annually with EMC's backup products.
The document discusses desktop virtualization and cloud computing. It notes how workstyles have shifted from PC-based to mobile-based as cloud services have become more prevalent. It outlines different types of clouds including personal, private, and public clouds. It also discusses how mobile workstyles can access cloud services from any device and any cloud, with considerations for security, collaboration, integration and professional services.
This document discusses IT-as-a-Service (ITaaS) and how IT departments can leverage cloud technologies to accelerate business agility. The goal of ITaaS is to provide business users with flexible, on-demand access to IT services through a self-service catalog. This represents a shift from traditional IT support models to a more consumer-oriented service model. Achieving ITaaS requires new technology, consumption, and operations models centered around private and public cloud infrastructure, security, standardization, automation, and financial transparency.
This document discusses building big data analytics platforms and infrastructure using Supermicro, Greenplum, and SAS. It provides an agenda that covers big data analytics platforms and infrastructure as well as a 1,000 node Hadoop cluster built using EMC and Supermicro. The document then discusses Greenplum's data computing appliances and how Greenplum has become the foundation of EMC's data computing division. It also provides an overview of SAS and discusses building the big data analytics "stack" using analytic toolsets, Greenplum Chorus, Greenplum data computing appliances, Greenplum Database, Greenplum HD, and SAS.
1) The threat landscape has evolved from petty criminals and hackers to sophisticated nation states, organized crime groups, and terrorists targeting personal information, critical infrastructure, and intellectual property.
2) Attack vectors have advanced from viruses and malware to targeted attacks using techniques like advanced persistent threats, zero-day exploits, and coordinated multi-vector attacks.
3) To reduce risk, organizations must collapse the time attackers have from initial access to establishing a long-term foothold through improved monitoring, rapid detection and response, and containment of incidents.
The document discusses EMC's storage transformation solutions including their VMAX, VPLEX, and SRM products. It provides an overview of the VMAX family and its performance and capabilities. Specific models like the VMAX 40K are highlighted. The document also discusses new software features for VMAX including federated tiered storage and recoverpoint integration. Benefits of solutions like FAST VP and its cost savings are promoted. VPLEX and Recoverpoint technologies are described as enabling access from anywhere and data protection everywhere. Management tools like Unisphere and ProSphere are also summarized.
This document discusses SAP's cloud strategy and the SAP NetWeaver Cloud platform. It provides an overview of SAP's cloud offerings, including business and collaborative capabilities available as software as a service. It describes how SAP NetWeaver Cloud is based on the SAP HANA platform and provides an open development environment. It also discusses how the platform allows customers to develop and integrate applications across cloud and on-premise systems.
The document discusses EMC and Oracle's long-standing partnership in developing solutions to optimize Oracle applications. It outlines three common deployment models for Oracle (aggregation, verticalized, virtualization) and describes the benefits of virtualizing Oracle software, such as 3x higher performance with lower total cost of ownership. It also introduces EMC solutions like Vblock infrastructure platforms, FAST automated storage tiering, and VFCache server flash caching that help address challenges of Oracle I/O performance and optimize storage for virtualized Oracle environments.
Big data is growing exponentially and changing the world. The digital universe will grow over 40 times in size this decade, with 90% of the data being unstructured. New technologies are enabling companies to harness big data to improve healthcare outcomes, increase retail profits, and make more informed decisions. However, traditional systems are ill-equipped to manage and analyze big data at this massive scale.
Presented during the Open Source Conference 2012, organized by Accenture and Redhat on December 14th 2012. This presentation discusses an open source Big Data case study.
By Jonathan Bender, Consultant, Accenture Technology Labs
Crunching “Big Data” to Drive 2012 Revenue Growth: The 5 Myths of Sales & Mar...MarketBridge
The amount of data created last year could fill 75 billion fully loaded 16GB iPads which, if stacked on top of one another, would reach 339 miles into the air. The exponential growth of customer data means deep Sales and Marketing analytics are more than just an opportunity for improvement.
Increasingly, basic Sales and Marketing performance reporting has become a competitive necessity for companies just to maintain market position.
This presentation discusses the myths and "barriers" to creating powerful Sales
and Marketing analytics that can help you:
- Target your best customers
- Optimize marketing spend
- Increase sales conversions
- Improve retention and up-sell rates
Intel Cloud summit: Big Data by Nick KnupfferIntelAPAC
1. Big data is growing rapidly in terms of volume, velocity, and variety.
2. Intel is well positioned to help organizations address big data challenges through its software stack, platforms, and by investing in new technologies.
3. Intel is committed to fostering the growth of the big data ecosystem through broad collaboration with partners.
IBM's information management portfolio aims to provide better IT economics and higher business value through addressing challenges around IT architecture complexities, new big data approaches, and solving organizations' information supply chain needs. The portfolio includes capabilities to reduce data costs, trust and protect information, and gain new insights from big data through various products focused on databases, data warehousing, analytics, security, and information integration.
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.
The presentation discussed 10 emerging technology trends that organizations cannot afford to ignore, including virtualization, data growth, energy efficiency, mobility, and cloud computing. It provided an overview of each trend and how they will impact organizations, and recommended actions organizations should take to evaluate and prepare for the trends. The presentation also promoted upcoming Gartner events and research reports related to these trends.
IBM Smarter Business 2012 - PureSystems - PureDataIBM Sverige
1) IBM's PureSystems are expert integrated systems that simplify IT challenges around big data by capturing built-in expertise and deeply integrating hardware and software.
2) PureSystems deliver greater simplicity, speed, and lower cost across the entire IT lifecycle from design to deployment to management through pre-integration and automation.
3) The PureData System delivers optimized data platforms and services for transactions, analytics, and operational analytics workloads through scale-out clusters of DB2, Netezza, and other technologies.
Karya Technologies provides enterprise services including IT strategy and software applications to improve operational efficiency. They offer solutions for data management, integration platforms, cloud services, and consulting. Their expertise is bolstered by strategic alliances with technology companies. Karya engages clients through comprehensive and cost-effective solutions tailored to their needs. Their enterprise solutions portfolio focuses on data management, ERP/CRM platforms, and cloud services for small and medium enterprises.
Big Data World Forum (BDWF http://www.bigdatawf.com/) is specially designed for data-driven decision makers, managers, and data practitioners, who are shaping the future of the big data.
Information Management: Answering Today’s Enterprise ChallengeBob Rhubart
As presented by George Lumpkin at OTN Architect Day, Redwood Shores, CA, 7/22/09.
Find an OTN Architect Day event near you: http://www.oracle.com/technology/architect/archday.html
Interact with Architect Day presenters and participants on Oracle Mix: https://mix.oracle.com/groups/15511
Tackling big data with hadoop and open source integrationDataWorks Summit
The document discusses Talend's goal of democratizing integration and big data. It describes how big data involves transactions, interactions and observations from diverse sources, requiring a different approach than traditional data integration. Talend aims to make big data accessible to everyone with its open source Talend Open Studio for Big Data, which improves the efficiency of designing big data jobs with intuitive interfaces and generates code to run transforms within Hadoop. Poor data quality in big data projects can magnify problems, so Talend recommends incorporating data quality checks into loading processes or via separate map reduce jobs.
(ATS4-GS03) Partner Session - Intel Balanced Cloud Solutions for the Healthca...BIOVIA
Healthcare/Pharmaceutical -IT departments, under constant pressure to do more with less, face an ever increasing volume of regulatory requirements, infrastructure challenges, and demands from clinical end-users to support applications anytime, anywhere, on any device. Healthcare/Pharma CIOs have a hard enough time “keeping the lights on” and find it difficult to drive strategic initiatives that improve patient care or support growth.
Cloud computing can improve the efficiency of IT, increase organizational agility, and control costs, but how do organizations adopt interoperable, scalable solutions while minimizing industry concerns such as vendor lock-in and data breach?
In this session, attendees will learn about the key trends that are driving healthcare organizations toward cloud solutions that “balance” compute, network and storage concerns based on open, scalable infrastructure. We will look at real-world examples of how healthcare organizations are using the cloud today. Finally, we will discuss how healthcare cloud solutions can be improved with Intel platform capabilities.
Team BigData has pivoted from privacy advocacy to providing analytics through restricted interfaces to mine large datasets. They interviewed consumers and LBS providers about privacy concerns but found consumers did not care about location privacy. They then focused on intelligence communities and hedge funds who value quick analytics and decisions over privacy. Testing with early adopters in these fields was overwhelmingly positive. Mainstream customers could include competitive intelligence and investment banking, while government regulators may provide inertia.
The document provides a business canvas for a company called BigDataTeam Privacy. The canvas outlines the company's technology, customers, revenue model, and market opportunity. Key points include:
- The technology allows real-time analytics of unstructured data across websites, file systems, databases, and web datasets.
- Potential customers include intelligence agencies, hedge funds, investment banks, and financial auditing firms.
- Revenue would come from subscription, service, or training fees from these customers.
- The addressable market is large, including the $16 billion global financial data market and $10 billion global analytics/BI software market. Intelligence agencies also represent a substantial opportunity.
The document provides a business canvas for a company called BigDataTeam Privacy. The canvas outlines their goals of creating privacy advocacy groups and building trust with consumers through educational awareness. It also discusses developing costs for marketing and a system, as well as potential revenue streams from app sales or subscriptions/services/training fees. Interviews with intelligence agencies, hedge funds, auditing firms and others provided learning around customer relationships, value propositions, and purchase workflows. The overall market for financial and analytics data is in the billions, with opportunities identified in intelligence, investment banking, and auditing. Initial pricing was proposed between $50,000-100,000 per customer.
Advancements in any industry refer to the process of developing systems, tools, products, or techniques that improve conditions,
solve problems, or achieve goals. All industries value innovative minds and solution-oriented breakthroughs. This workshop will
feature top corporate and federal executive leaders form or from? diverse industries share the latest and greatest breakthroughs.
You may be behind the next big thing.
At the end of this workshop, participants will be able to:
a. E xplore pioneering advancements from diverse industries including:
Aerospace & Defense, Automotive, Media & Entertainment, IT, Intelligence Agencies
b. Explore ideas and visions for the future
c. Examine challenges and threats that these industries must overcome to survive
Big data refers to the massive amounts of information created every day from various sources. Some key facts about big data include:
- Every two days now we create as much data as we did from the beginning of civilization until 2003.
- Technologies to handle big data must be able to process petabytes and exabytes of data from a variety of structured and unstructured sources in real-time.
- Analyzing big data can provide valuable insights into areas like smart cities, healthcare, retail and manufacturing by improving operations and decision making.
However, big data also presents challenges around its massive scale, rapid growth, heterogeneity and real-time processing requirements that differ from traditional data warehousing.
The document discusses Shared Services Canada (SSC), which was created in 2011 to consolidate and standardize IT infrastructure across the Canadian government. SSC took over responsibility for email, data centers, networks, and telecommunications for 43 government institutions, with the goals of reducing costs, improving security, and maximizing efficiencies. The document outlines the complex and costly state of previous fragmented IT systems, and describes SSC's plans to transform infrastructure delivery through consolidation of services, procurement of new shared systems, and migration of departments over multiple years.
What is big data - Architectures and Practical Use CasesTony Pearson
1. Big data is the analysis of large volumes of diverse data to identify trends, patterns and insights to make better business decisions. It allows companies to cost efficiently process growing data volumes and collectively analyze the broadening variety of data.
2. The document discusses architectures and practical use cases of big data. It provides examples of how companies are using big data to optimize operations, innovate new products, and gain instant awareness of fraud and risk.
3. Realizing the opportunities of big data requires thinking beyond traditional data sources to include machine, transactional, social, and enterprise content data. It also requires multiple platform capabilities like Hadoop, data warehousing, and stream computing.
This document discusses moving NEON optimizations to 64-bit ARM architectures. Some key points:
- NEON is an ARM instruction set extension that allows single-instruction multiple data (SIMD) processing. It has more registers and capabilities in AArch64, including double precision floating point.
- Migrating NEON code to AArch64 usually only requires minor changes to assembly code due to compatibility in C/intrinsics code and clearer register mappings. Existing NEON documentation still applies.
- Open source libraries and compilers support NEON optimizations, providing performance boosts such as 3-4x faster video codecs. The Android NDK fully supports 64-bit development.
- Examples show optimized
The document discusses the advantages of 64-bit ARMv8-A architecture for Android. It describes how Android Lollipop provides support for both 32-bit and 64-bit applications. Native and ART applications can see performance gains by taking advantage of the ARMv8-A architecture's modern instruction set and use of more registers. The document encourages developers to explore 64-bit development and provides additional resources.
The document discusses ARM's Intelligent Power Allocation (IPA) technology, which aims to maximize performance within thermal limits. It describes three types of power consumption scenarios and the limitations of the current Linux thermal framework. IPA uses a closed-loop control system to dynamically allocate power between components like the CPU and GPU based on temperature, power estimates, and performance requests. Test results show IPA achieving up to 31% higher FPS in games compared to static thermal policies, with more consistent temperature control.
This document discusses how Serengeti can be used to automate the deployment and management of Hadoop clusters on VMware vSphere. Some key points:
- Serengeti is a virtual appliance that can be deployed on vSphere and automates the provisioning of Hadoop clusters within 10 minutes from templates.
- It allows separating storage and compute by deploying Hadoop data nodes on shared storage and compute nodes as VMs for better elasticity and utilization.
- Serengeti supports elastic scaling of Hadoop clusters, multi-tenancy by isolating tenant workloads, and live configuration changes with rolling upgrades and no downtime.
This document discusses recommended architectures and best practices for deploying Hadoop on VMware vSphere. It recommends deploying Hadoop nodes across multiple virtualization hosts with 10Gb networking for high performance. The standard deployment places data nodes on shared storage and task trackers on local disks. It also discusses planning the cluster size, hardware requirements including CPU, memory, storage and networking considerations. Configuration recommendations include using NTP, proper virtual disk settings, enabling NUMA and avoiding overcommitting resources.
1. beyond mission critical virtualizing big data and hadoopChiou-Nan Chen
Virtualizing big data platforms like Hadoop provides organizations with agility, elasticity, and operational simplicity. It allows clusters to be quickly provisioned on demand, workloads to be independently scaled, and mixed workloads to be consolidated on shared infrastructure. This reduces costs while improving resource utilization for emerging big data use cases across many industries.
Pivotal HD is a Hadoop distribution that includes additional components to configure, deploy, monitor and manage Hadoop clusters. It provides tools like the Command Center for visual cluster monitoring and job management, Hadoop Virtualization Extensions to improve resource utilization, and HAWQ for high performance SQL queries and analytics across Hadoop data.
The document discusses EMC's transformation to an IT-as-a-Service model. It summarizes how EMC has virtualized 90% of its server workloads, consolidated data centers, and transformed its IT infrastructure to deliver services through a cloud foundation. This allows EMC to enhance agility, optimize costs, and deliver business value through offerings like infrastructure-as-a-service, platform-as-a-service, and software-as-a-service.
This document discusses how IT is transforming through trends like cloud computing and big data. It summarizes that EMC can help customers navigate these changes by providing solutions like hybrid cloud infrastructure and big data analytics to help businesses transform their applications and IT infrastructure. The document also emphasizes that EMC is committed to innovation through R&D investment and acquisitions to ensure it continues to lead customers on their journey to the cloud and with big data.
The document discusses disaster recovery for mission critical applications. It notes challenges in ensuring application availability with data growth and budget pressures, while meeting regulatory requirements. It discusses using replication, snapshots, and continuous data protection to reduce recovery point objectives (RPO) from hours to minutes or less. EMC provides integrated solutions using technologies like Data Domain, Avamar, RecoverPoint, and VPlex to automate backup, replication, and recovery for applications.
The document discusses desktop virtualization and cloud computing. It compares the PC era to the current cloud era and how workstyles have shifted from PCs to mobile devices that can access cloud services from any location using various devices. It discusses how users can access their desktops, applications, files, and services from any cloud through mobile workstyles. It also mentions some benefits of desktop virtualization like security, collaboration, application migration, integration and managing services from various devices and clouds.
The document discusses virtualizing mission critical applications. It notes that the primary drivers for virtualizing applications are cost savings and service improvement. It provides statistics showing an increasing percentage of workload instances running on VMware for applications like Microsoft Exchange, SharePoint, SQL, Oracle, and SAP. It then discusses EMC IT's journey towards a private cloud, moving from an infrastructure focus to an applications focus to an IT-as-a-service model. The document also discusses challenges around data protection and backup/recovery for virtualized applications and provides solutions using technologies like Avamar, Data Domain, and VFCache. It provides an example case study of EMC IT successfully virtualizing their Oracle 11i CRM system.
This document describes virtualization solutions using Microsoft Hyper-V and System Center with EMC storage components. It provides configuration details for solutions supporting 50 and 100 virtual machines, including servers, hypervisors, networking, storage and backup components. It also discusses features for virtualizing Microsoft applications and the benefits of using System Center for management.
The document discusses EMC's strategy called "FLASH 1st" for data storage over the next decade. It argues that traditional hard disk drives will not be able to keep up with rapidly growing data and increasing IO demands. FLASH/solid state technology on the other hand is improving much faster than HDDs and will provide dramatically better performance and cost efficiency. EMC's FLASH 1st strategy leverages automated tiering software to place active "hot" data on high-performance FLASH storage and less active "cold" data on lower-cost capacity HDDs to maximize benefits.
This document discusses Cisco's desktop virtualization solution. It begins with an overview of the desktop virtualization market trends, including rising management costs and the need for access from any device anywhere. It then covers desktop virtualization models and user types. The rest of the document discusses Cisco's vision for desktop virtualization, the challenges it addresses, and how Cisco UCS provides advantages for desktop virtualization deployments, including an end-to-end virtualized solution.
The document discusses VPLEX, EMC's multi-site active-active storage solution. VPLEX allows synchronous data access across data centers for high availability and disaster recovery. It uses clustered controllers and virtualization to provide redundancy. VPLEX can also integrate with RecoverPoint for continuous data protection and replication across three sites.
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.
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.
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.
Generating privacy-protected synthetic data using Secludy and MilvusZilliz
During this demo, the founders of Secludy will demonstrate how their system utilizes Milvus to store and manipulate embeddings for generating privacy-protected synthetic data. Their approach not only maintains the confidentiality of the original data but also enhances the utility and scalability of LLMs under privacy constraints. Attendees, including machine learning engineers, data scientists, and data managers, will witness first-hand how Secludy's integration with Milvus empowers organizations to harness the power of LLMs securely and efficiently.
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.
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.
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.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
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.
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
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
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.
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.