Across all industries, businesses are adapting and saving time with how they are using and managing data today.
Learn how your business can Integrate NetApp storage platforms with healthcare data solutions: http://www.netapp.com/us/solutions/industry/healthcare/
Client approaches to successfully navigate through the big data stormIBM Analytics
Hadoop is not a platform for data integration: As a result, some organizations turn to hand coding for integration – or end up deploying solutions that aren’t fully scalable. Review this Slideshare to learn about IBM client best practices for Big Data Integration success.
Digital Transformation: How to Run Best-in-Class IT Operations in a World of ...Precisely
IT leaders looking to move beyond reactive and ad hoc troubleshooting need to find the intersection of maintaining existing systems while still driving innovation - solving for the present while preparing for the future. Identifying ways to bring existing infrastructure and legacy systems into the modern world can create the business advantage you need.
View the conversation with Splunk’s Chief Technology Advocate, Andi Mann and Syncsort’s Chief Product Officer, David Hodgson where we discuss the digital transformation taking place in IT and how machine learning and AI are helping IT leaders create a more business-centric view of their world including:
• The importance of data sharing and collaboration between mainframe and distributed IT
• The value of integrating legacy data sources and existing infrastructure into the modern world
• Achieving an end to end view of IT operations and application performance with machine learning
Even as enterprise IT shops are deploying private clouds to increase agility and reduce costs, they are also increasing the number of workloads being run in public clouds in order to meet the dynamic needs of the business. This means that the role of “cloud broker” is now part of the CIO’s strategic posture as a partner with the business.
Top 10 ways BigInsights BigIntegrate and BigQuality will improve your lifeIBM Analytics
BigIntegrate and BigQuality offer 10 ways to improve an organization's ability to leverage Hadoop by providing cost-effective data integration and quality capabilities that eliminate hand coding, improve performance, ensure scalability and reliability, and increase productivity when working with Hadoop data.
AIOps: Anomalous Span Detection in Distributed Traces Using Deep LearningJorge Cardoso
The field of AIOps, also known as Artificial Intelligence for IT Operations, uses algorithms and machine learning to dramatically improve the monitoring, operation, and maintenance of distributed systems. Its main premise is that operations can be automated using monitoring data to reduce the workload of operators (e.g., SREs or production engineers). Our current research explores how AIOps – and many related fields such as deep learning, machine learning, distributed traces, graph analysis, time-series analysis, sequence analysis, and log analysis – can be explored to effectively detect, localize, and remediate failures in large-scale cloud infrastructures (>50 regions and AZs). In particular, this lecture will describe how a particular monitoring data structure, called distributed trace, can be analyzed using deep learning to identify anomalies in its spans. This capability empowers operators to quickly identify which components of a distributed system are faulty.
The document outlines an agenda for a Big Data & Analytics Day event with two main parts. Part 1 lasts 2.5 hours and provides an introduction to big data and analytics essentials, including infrastructure, use cases, and the future of big data analytics. Part 2 lasts 3-4 hours and goes into more technical details on connecting devices to the cloud and building an analytics layer using IBM Bluemix services, with a hands-on lab and SPSS demo.
IBM's InfoSphere software helps organizations successfully leverage big data by providing an understanding of their data. It addresses the challenges of big data's four V's (volume, variety, velocity, and veracity) by automating data integration and governance. This helps boost confidence in big data by establishing standard terminology, tracing data lineage, and separating useful "good" data from unnecessary "bad" data. As a result, organizations can more accurately analyze big data and act on the insights with confidence.
Stream Computing is an advanced analytic platform that allows user-developed applications to quickly ingest, analyze and correlate information as it arrives from thousands of real-time sources. The solution can handle very high data throughput rates, up to millions of events or messages per second.
Jump-Start the Enterprise Journey to the CloudLindaWatson19
In the pre-1880 era onsite power generation was the norm for factories. When the central power stations were built, these factories outsourced their power generation. Cloud infrastructure presents a similar opportunity for organizations wishing to outsource their IT infrastructure.
NetApp OnCommand Insight (OCI) provides infrastructure analytics that can help organizations reduce storage and compute costs by 20% or more in under 90 days. It enables rapid identification of service issues to reduce support ticket resolution times by 95%. OCI also allows organizations to define, measure, and control service levels across internal and external cloud services while monitoring costs.
iSeries applications are at the core of operations for many organizations, but it's time for the long-overdue modernization that has been delayed for decades.
Appplications – Driving Expansion In The CloudNetAppUK
This document discusses trends in cloud adoption and provides examples of companies using cloud services. It notes that most companies are using cloud to streamline existing IT functionality or expand IT services. Examples are then given of companies in various industries using infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) to deliver virtual desktops, backup and disaster recovery, telecommunications services, and analytics for internet of things devices.
DEJ's AIOps research study titled - Strategies of Top Performing Organizations in Deploying AIOps is based on insights from 1,100+ organizations (721 of them using AIOps capabilities).
Artificial Intelligence Application in Oil and GasSparkCognition
Visit http://sparkcognition.com for more information.
To access and listen to the on-demand version of the webinar, go here:
http://sparkcognition.com/ai-oil-and-gas-webinar-video/
Learn how Artificial Intelligence and Machine Learning are being effectively applied in Oil & Gas right now, how they will become even more prevalent, and how they can impact your bottom line and transform your business.
We'll cover:
• Fundamentals of Artificial Intelligence and Machine Learning
• Understanding of why Artificial Intelligence and Machine Learning are revolutionary in how they can help the Oil & Gas industry. This technology is already being used to prevent downhole tool failures or events like stuck pipes, pinpointing the ideal drilling locations during exploration and discovery, predicting pipeline pump failures, identify frack truck pump failures, etc.
• Real world examples of how other clients are using AI/ML today
The latest in advanced technology and digital capabilities are changing the way the life sciences industry develops new, life-changing treatments for patients.
Digital Transformation & Cloud ProfitabilityGui Carvalhal
A quick view about Digital Transformation and what's happening with Industries across the globe.
A guidance to IT Channel to accelerate Cloud Profitability with valuable resources for download.
The survey found that over half of respondents are using some form of hybrid cloud services. Hybrid cloud adoption was popular across all business sizes and regions surveyed. Security, flexibility, and cost savings were the most common motivations for cloud adoption, especially among CIOs. The majority of respondents use cloud services primarily for storage, backups, and file storage workloads rather than more advanced analytics or disaster recovery. German medium-sized businesses were most likely to use cloud for storage, while larger businesses generally used cloud more for SaaS applications.
The document summarizes the Medicare Access and CHIP Reauthorization Act (MACRA) which repeals the Sustainable Growth Rate formula and shifts Medicare payments to value-based and alternative payment models. MACRA establishes two payment tracks - the Merit-based Incentive Payment System (MIPS) and Alternative Payment Models (APMs). MIPS consolidates existing quality programs and provides payment incentives or penalties based on a performance score. APMs offer additional rewards for physicians meeting thresholds for payments or patients in eligible models.
In a health care system where consumers are empowered to actively choose among health plans, providers, and treatment options, delivering a satisfying customer experience is key to differentiation. The first step towards winning in a consumer-centric marketplace: understand how this new informed and engaged consumer views the health care system and how they define quality and value.
For more, check out the full report on the quest for value in health care: https://www.deloitte.com/view/en_US/us/Insights/centers/center-for-health-solutions/b57d260a4ac35410VgnVCM3000003456f70aRCRD.htm
Making data work for providers, patients, payers, and population health. In healthcare, using this data in meaningful ways has the potential for people to live longer healthier lives.
Be sure to check out NetApp's healthcare solutions page: http://www.netapp.com/us/solutions/industry/healthcare/
Understand what patient engagement truly means, its benefits for both patients and providers, and how to increase patient engagement through marketing.
Data-driven decisions for healthcare - Unleash Enterprise Innovation3Capgemini
With HP Converged System for Microsoft APS, Power BI and Sogeti, you can easily get started visualizing, modeling and reporting data insights for the healthcare industry through what we call the Unleash Enterprise Innovation3 solution. Learn how your organization can easily unite your relational inpatient and outpatient data with non-relational data from public sources and social media, allowing you to capture and analyze the data that will effectively impact your decision-making processes.
Transformational themes that will shake the world of healthcare improvementNHS Improving Quality
The document discusses leading change from the edges of organizations. It provides five ways to lead change from the edges and thrive: 1) embrace disruption, 2) curate knowledge, 3) build bridges to connect disconnected groups, 4) roll with resistance by taking a dialogic approach, and 5) recognize that leading change starts from within oneself. It also describes a case study of the School for Health and Care Radicals, a virtual school for training change agents that was set up with three weeks' notice and had over 1,500 enrollees from 27 countries.
Read the latest benefits information from Independent Medicare broker Erin Hart from American HealthCare Group. Learn about Medicare income limits, care plans, and topics to consider when planning for health benefits in retirement.
Smart Healthcare in Smart Cities
The document discusses how smart healthcare can be implemented in India's smart cities initiative. It notes that 98 cities have been selected for the smart cities project, with the goal of improving quality of life through technology-enabled infrastructure and services. For smart healthcare, the document advocates focusing on preventative care through integrated primary, secondary and tertiary healthcare services. It also emphasizes complete digitization and automation of health services, as well as public-private partnerships to foster innovation and shift the focus from doctors to population health. Challenges include affecting behavioral changes, major investments required, and ensuring financial sustainability of smart healthcare systems in cities.
Pharmaceutical Mergers Acquisitions in the U.SCapgemini
Since 2010, approximately 200 pharmaceutical and biotech deals have taken place per year in the United States. In 2014, only 182 major deals took place, lower than average (~190).
However, 2014 surpassed the combined value of deals from 2011-2013 ($178bn) and saw over $200bn in mergers and acquisitions, a 300% increase from the previous year.
Modernizing compliance: Moving from value protection to value creationDeloitte United States
More than 580 professionals in compliance (21.4 percent), internal audit (35.6 percent), risk management (17.7 percent), C-suite roles outside of compliance (22.6 percent) and corporate board members (2.7 percent) participated in a Deloitte Dbriefs webcast, titled “Modernizing compliance: Moving from value protection to value creation,” on March 30, 2017. Poll respondents largely work in the financial services (45.7 percent) and consumer and industrial products (23.2 percent) industries. https://www2.deloitte.com/us/en/pages/dbriefs-webcasts/events/march/2017/dbriefs-modernizing-compliance-moving-from-value-protection-to-value-creation.html
RxCX: Customer Experience as a prescription for improving government performanceDeloitte United States
What could happen if government viewed certain public sector challenges through the lens of customer experience? By changing the way people interact with a process rather than focusing solely on the process itself, agencies can broaden the range of available solutions. https://dupress.deloitte.com/dup-us-en/industry/public-sector/improving-customer-experience-government-performance.html
Transitional Care Management: Five Steps to Fewer Readmissions, Improved Qual...Health Catalyst
Reducing readmissions is an important metric for health systems, representing both quality of care across the continuum and cost management. Under the Affordable Care Act, organizations can be penalized for unreasonably high readmission rates, making initiatives to avoid re-hospitalization a quality and cost imperative. A transitional care management plan can help organizations avoid preventable readmissions by improving care through all levels in five steps:
Start discharge at the time of admission.
Ensure medication education, access, reconciliation, and adherence.
Arrange follow-up appointments.
Arrange home healthcare.
Have patients teach back the transitional care plan.
The document discusses trends in the healthcare industry in the United States. It notes that healthcare accounts for 18% of the US economy and demand for healthcare jobs is growing rapidly. Between 2010 and 2020, the number of healthcare jobs will increase from 10.1 million to 13.1 million. The document also highlights that most new healthcare jobs will require postsecondary education and there will be a need for workers to continuously update their skills and learning through their careers.
- HealthTech innovation is disrupting healthcare and its established players
- Technology is driving a new paradigm to create better health care
- Developing markets can leapfrog their healthcare infrastructure limitations
- New opportunities are opening to shape the new paradigm
In 2017, the World Economic Forum recognized the potential of advanced manufacturing technologies. In 2018, from among more than 1,000 examined production facilities, 16
companies were recognized as Fourth Industrial Revolution leaders in advanced manufacturing for demonstrating step-change results, both operational and financial, across individual sites. They had succeeded in scaling beyond the pilot phase and their sites were designated advanced manufacturing “Lighthouses”. In 2019, 28 additional facilities were identified and added to the network, which now provides an opportunity for cross-company learning and collaboration, and for setting new benchmarks for the global manufacturing community.
Lighthouses have succeeded by innovating new operating systems, including in how they manage and optimize business and processes, transforming the way people work and use technology. These new operating systems can become the blueprint for modernizing the entire company operating system; therefore, how they prepare for scaling up and engaging the workforce matters.
Word optimisa doc for linked in insights promotionPaul Morgan
Optimisa Research implemented Intellex software three years ago and it now forms the backbone of their nationwide tracking study report delivery. The Intellex DataDynamic Reporter software allows for powerful, flexible data processing and automated generation of reports in PowerPoint, reducing reporting time from days to hours. Since migrating to the Intellex platform, Optimisa has significantly increased the speed at which they can communicate tracking results to clients, now delivering over 60 PowerPoint reports within seven days and 370 reports per quarter for another study. The Intellex software has provided Optimisa with a highly efficient platform that fits their needs and has increased reporting speed and reduced errors.
Industry 4.0: Merging Internet and FactoriesFabernovel
Industrial IoT and connected objects for factories are part of our research at FABERNOVEL OBJET, our activity dedicated to IoT.
The future of industry is at the crossroads of internet and factories. Some call it INDUSTRY 4.0 or FACTORY 4.0 in reference to the upcoming fourth industrial revolution. Governments and private companies in Germany, UK and the USA have acknowledged the importance of industrial IoT and its central role in future industrial transformation.
The adoption of Industrial Internet has both near-term and long-term impacts and will be characterized by the emergence of new models such as the “Outcome Economy” and the “Autonomous, Pull Economy”.
We believe that INDUSTRY 4.0 is a growth opportunity for industrial companies, and have decrypted this very phenomenon in the following presentation.
The document discusses how the Industrial Internet will transform the way people work by empowering them with faster access to relevant information and better tools for collaboration. It will allow workers like field engineers, pilots, and medical professionals to make data-driven decisions that reduce downtime of equipment and optimize operations. The Industrial Internet connects machines, analytics, and people, making information intelligent and available to workers on mobile devices. This will make work more efficient and productive while enabling workers to spend more time on higher-value tasks and upgrade their skills. While technology is often seen as a threat, the Industrial Internet will augment workers' abilities rather than replace them.
Winshuttle-Institut-Pasteur-casestudy-ENSzuchi Mei
Institut Pasteur is a renowned biomedical research center founded in 1887. It adopted SAP, but the increased data volume led to long processing times for transactions. Winshuttle Studio was implemented and allowed large volumes of data to be integrated into SAP easily. Users could now complete 4,400 lines of analytical breakdown in 1 hour with no errors, instead of 15 days previously. Institut Pasteur plans to continue using Winshuttle to improve processes like master data management and mass data entry.
산업인터넷, 사물인터넷, 생산성, 클라우드컵퓨팅, 웨어러블, 데이터 과학, 유저인터페이스
GE코리아 뉴스레터를 구독하세요! http://goo.gl/IE8WS8
GE코리아 YouTube 채널을 구독하세요! http://goo.gl/M2gc8m
상상을 현실로 만듭니다. Imagination at work.
GE가 꿈꾸는 가치입니다. 아니, GE는 단지 꿈만 꾸고 있는 것이 아닙니다. 상상을 현실로 만들기 위해, 불가능했던 것을 가능하게 만들기 위해 쉬지 않고 움직이고 있습니다. GE는 에너지, 의료, 항공, 수송, 금융 등의 여러 분야에서 고객과 인류사회의 진보를 위해 더 편리하고 빠르며 친환경적인 솔루션을 찾아냅니다.
Connect with GE Online:
GE코리아 웹사이트: http://www.ge.com/kr/
GE리포트코리아: http://www.gereports.kr/
GE코리아 페이스북 페이지: hhttps://www.facebook.com/GEKorea
GE코리아 슬라이드쉐어: http://www.slideshare.net/GEKorea
INTEGRATED MONITORING SYSTEM REDUCES INTERNAL FUEL CONSUMPTION WITH 12% FOR O...Craciun Elisei
After three months of intensive work, IT Green Light team together with our client’s team managed to create, design and implement a high performance monitoring system.
Read the case study to learn how we integrated all existing systems and information available in one single system with the purpose to monitor and control fuel consumption for all our client’s consumers.
Facebook uses large data centers to store information shared on its platform. Each data center contains tens of thousands of servers to receive, store, and distribute user data. In 2015, Facebook spent $480 million on operational expenses for its data centers. The servers use a variety of tools and programming languages like Linux, Apache, MySQL, and PHP.
IRJET- Automated Health Care Management System using Big Data TechnologyIRJET Journal
This document discusses an automated healthcare management system using big data technology. It proposes using Apache HIVE and MapReduce on Hadoop to analyze patient data at large scale. The system would help analyze which patients are spending more money than others. It discusses challenges with existing systems and how distributed computing using Hadoop could help process large volumes of healthcare data.
The power of the industrial internet has trasformed the use of equipment and given a boost to technology. In the case of paralell flow regenerative technolgy used in lime production, it has enabled lime producers to improve efficiency, reduce power demand and yeld significant cost benefits.
The power of the industrial internet has trasformed the use of equipment and given a boost to technology. In the case of paralell flow regenerative technolgy used in lime production, it has enabled lime producers to improve efficiency, reduce power demand and yeld significant cost benefits.
Dennis Kehoe - ECO 15: Digital connectivity in healthcareInnovation Agency
AIMES has created a Trustworthy Research Environment (TRE) within its HealthCLOUD, which allows authorized data scientists and analysts to access sensitive healthcare data in an ISO27001-certified and IG Toolkit-compliant environment. The TRE includes mechanisms for provisioning data through interoperability and data pipelines, and an analytics zone where data can be analyzed using tools like R and Spark. AIMES is applying this infrastructure and data science capabilities to focus on care pathways for conditions like epilepsy, COPD, and alcohol abuse through its Connected Health Cities program. As more rich datasets become available through regional and national health information exchanges, data science has the potential to transform clinical areas such as stroke prevention and mental health crisis prevention.
Scada And Performance Traksys Case Study Eckes Graninimanunau
Major European juice producer Eckes-Granini implemented Parsec's real-time operations software TrakSYS to (1) maintain accurate electronic production records and track critical process values for food safety compliance, (2) improve productivity and performance, and (3) gain acceptance from operators and management. TrakSYS provided real-time visibility, waste reduction, improved quality control, and increased production capacity while reducing costs. The implementation helped Eckes-Granini achieve their goals of consistent visibility, improved asset utilization, and regulatory compliance.
This document is a thesis submitted by Gurminder Bharani to Symbiosis Institute of Geoinformatics in partial fulfillment of an M.Sc. degree. The thesis is titled "Automated Drought Analysis with Python and Machine Learning". It describes using Python and machine learning techniques to automate the analysis of drought conditions from satellite and other climate data sources. The thesis includes chapters on the literature review, study area, methodology, results, discussion, conclusion, and references.
IOT Based Anesthesia Parameters Monitoring with Doctor Decision Assistance us...IRJET Journal
The document proposes an IOT-based system using sensors and a Raspberry Pi to monitor anesthesia parameters during surgery, transmitting data to ThingSpeak cloud and providing a predictive risk analysis and alerts to medical staff. It aims to help anesthesia doctors by collecting data on temperature, heart rate, oxygen levels and other vital signs, applying machine learning to predict risks, and sending alerts if readings exceed thresholds. Key challenges addressed developing such a system for real-time use across multiple patients and devices while maintaining data privacy in the medical domain.
The Industrial Internet is bringing about a profound transformation to global industry, by connecting more intelligent machines, advanced analytics, and people at work. This deeper meshing of the digital world with the world of machines has the potential to bring enormous economic benefits. We have estimated that this new wave of innovation could boost global GDP by as much as $10-15 trillion over the next 20 years, through accelerated productivity growth.
The Industrial Internet is transforming how people work by connecting machines, analytics, and workers. This will increase productivity and efficiency in industries like power generation, transportation, and healthcare. The Industrial Internet allows remote access to information, collaboration between experts, and preventative maintenance based on real-time equipment data. This moves industries toward zero unplanned downtime. Workers will have new tools like mobile devices, data visualization, and remote expert access to optimize operations and maintenance. The Industrial Internet will change job roles and require new skills in areas like data analysis, blending technical and computing skills.
DevOps the NetApp Way: 10 Rules for Forming a DevOps TeamNetApp
Does your enterprise IT organization practice DevOps without a common team approach? To create a standardized way for development and operations teams to work together at NetApp, the IT team differentiates a DevOps team from a regular development team based on these 10 rules.
NetApp provides complete solutions for EUC/VDI workloads that can meet business needs. Their solutions allow for:
1) Centralizing unstructured data with NetApp Global File Cache to introduce governance, compliance, control, and cost savings.
2) Monitoring, troubleshooting, and optimizing infrastructure with NetApp Cloud Insights for proactive intelligence.
3) Simplifying public cloud processes with tools that automate infrastructure management in the cloud.
Spot Lets NetApp Get the Most Out of the CloudNetApp
Prior to NetApp acquiring Spot.io, two of its IT teams had adopted Spot in their operations: Product Engineering for Cloud Volumes ONTAP test automation and NetApp IT for corporate business applications. Check out the results in this infographic.
NetApp has fully embraced tools that allow for seamless, collaborative work from home, and as a result was fully prepared to minimize COVID-19's impact on how we conduct business. Check out this infographic for a look at results from the new remote work reality.
4 Ways FlexPod Forms the Foundation for Cisco and NetApp SuccessNetApp
At Cisco and NetApp, seeing our customers succeed in their digital transformations means that we’ve succeeded too. But that’s only one of the ways we measure our performance. What’s another way? Hearing how our wide-ranging IT support helps Cisco and NetApp thrive. Here’s what makes FlexPod an indispensable part of Cisco’s and NetApp’s IT departments.
With the widespread adoption of hybrid multicloud as the de-facto architecture for the enterprise, organizations everywhere are modernizing to deliver tangible business value around data-intensive applications and workloads such as AI-driven IoT and Hyperledgers. Shifting from on-premises to public cloud services, private clouds, and moving from disk to flash – sometimes concurrently – opens the door to enormous potential, but also the unintended consequence of IT complexity.
With the widespread adoption of hybrid multicloud as the de facto IT architecture for the enterprise, organizations everywhere are modernizing to deliver tangible business value around data-intensive applications and workloads such as AI-driven IoT and indelible ledgers.
With the widespread adoption of hybrid multicloud architectures, organizations are modernizing their data-intensive applications and workloads like AI and blockchain. Shifting infrastructure from on-premises to public cloud and between storage mediums increases potential but also complexity. In 2020, vendors must prioritize simplicity by offering flexible technologies like software-defined infrastructure and consumption options to help organizations keep up with growing data and transformation.
This document discusses NetApp's corporate IT strategy and use of cloud technologies. It notes that NetApp has over 10,500 employees worldwide and uses CloudOne, its internally developed DevOps platform, to build cloud-native applications with microservices architectures. CloudOne provides infrastructure as a service, platform as a service, and other cloud services on AWS, Azure, and GCP. It aims to simplify operations and enable a "SaaS First" strategy through application rationalization and a hybrid multicloud approach.
Achieving Target State Architecture in NetApp ITNetApp
NetApp IT is undergoing a transformation to align all of its applications to target state architectures using the Gartner TIME model and 5Rs framework. It analyzed its application portfolio and found that 75% are "Keep Business Running" applications that will be migrated to SaaS. The remaining 25% are for business transformation and differentiation and will leverage NetApp's CloudOne platform, which provides a unified experience across any cloud using containers, microservices, and DevOps practices. This will allow NetApp to innovate faster and deliver business value at the speed required.
10 Reasons Why Your SAP Applications Belong on NetAppNetApp
NetApp has been supporting SAP for 20 years, delivering advanced solutions for SAP applications. Here are 10 reasons why your SAP applications belong on NetApp!
Redefining HCI: How to Go from Hyper Converged to Hybrid Cloud InfrastructureNetApp
The hyper converged infrastructure (HCI) market is entering a new phase of maturity. A modern HCI solution requires a private cloud platform that integrates with public clouds to create a consistent hybrid multi-cloud experience.
During this webinar, NetApp and an IDC guest speaker covered what led to the next generation of hyper converged infrastructure and which five capabilities are required to go from hyper converged to hybrid cloud infrastructure.
As we enter 2019, what stands out is how trends in business and technology are connected by common themes. For example, AI is at the heart of trends in development, data management, and delivery of applications and services at the edge, core, and cloud. Also essential are containerization as a critical enabling technology and the increasing intelligence of IoT devices at the edge. Navigating the tempests of transformation are developers, whose requirements are driving the rapid creation of new paradigms and technologies that they must then master in pursuit of long-term competitive advantage. Here are some of our perspectives and predictions for 2019.
Künstliche Intelligenz ist in deutschen Unter- nehmen ChefsacheNetApp
Einer aktuellen Umfrage des führenden Datenma- nagementspezialisten in der Hybrid Cloud NetApp zufolge gewinnt künstliche Intelligenz (KI) in deut- schen Unternehmen zunehmend an Relevanz.
Iperconvergenza come migliora gli economics del tuo ITNetApp
The document describes instructions for connecting audio to an online webinar. It provides three options for connecting audio: calling using a computer, calling a phone number, or having the system call back a provided number. It also includes the webinar title and information about asking questions.
NetApp IT’s Tiered Archive Approach for Active IQNetApp
NetApp AutoSupport technology monitors customer storage environments and provides intelligence to optimize storage. The amount of data received doubles every 16 months, so NetApp IT sought a more flexible archiving solution. They expanded their one-tier system to a three-tier solution with hot, warm, and cold tiers to automatically migrate older data and keep recent data accessible. Data older than 12 months is cold archived for cost savings, 6-12 months is warm for performance and cost, and under 6 months is hot for performance.
Graph Machine Learning - Past, Present, and Future -kashipong
Graph machine learning, despite its many commonalities with graph signal processing, has developed as a relatively independent field.
This presentation will trace the historical progression from graph data mining in the 1990s, through graph kernel methods in the 2000s, to graph neural networks in the 2010s, highlighting the key ideas and advancements of each era. Additionally, recent significant developments, such as the integration with causal inference, will be discussed.
Docker has revolutionized the way we develop, deploy, and run applications. It's a powerful platform that allows you to package your software into standardized units called containers. These containers are self-contained environments that include everything an application needs to run: code, libraries, system tools, and settings.
Here's a breakdown of what Docker offers:
Faster Development and Deployment:
Spin up new environments quickly: Forget about compatibility issues and dependency management. With Docker, you can create consistent environments for development, testing, and production with ease.
Share and reuse code: Build reusable Docker images and share them with your team or the wider community on Docker Hub, a public registry for Docker images.
Reliable and Consistent Applications:
Cross-platform compatibility: Docker containers run the same way on any system with Docker installed, eliminating compatibility headaches. Your code runs consistently across Linux, Windows, and macOS.
Isolation and security: Each container runs in isolation, sharing only the resources it needs.
Introduction to Data Science
1.1 What is Data Science, importance of data science,
1.2 Big data and data Science, the current Scenario,
1.3 Industry Perspective Types of Data: Structured vs. Unstructured Data,
1.4 Quantitative vs. Categorical Data,
1.5 Big Data vs. Little Data, Data science process
1.6 Role of Data Scientist
NYCMeetup07-25-2024-Unstructured Data Processing From Cloud to EdgeTimothy Spann
NYCMeetup07-25-2024-Unstructured Data Processing From Cloud to Edge
https://www.meetup.com/unstructured-data-meetup-new-york/
https://www.meetup.com/unstructured-data-meetup-new-york/events/301720478/
Details
This is an in-person event! Registration is required to get in.
Topic: Connecting your unstructured data with Generative LLMs
What we’ll do:
Have some food and refreshments. Hear three exciting talks about unstructured data and generative AI.
5:30 - 6:00 - Welcome/Networking/Registration
6:05 - 6:30 - Tim Spann, Principal DevRel, Zilliz
6:35 - 7:00 - Chris Joynt, Senior PMM, Cloudera
7:05 - 7:30 - Lisa N Cao, Product Manager, Datastrato
7:30 - 8:30 - Networking
Tech talk 1: Unstructured Data Processing From Cloud to Edge
Speaker: Tim Spann, Principal Dev Advocate, Zilliz
In this talk I will do a presentation on why you should add a Cloud Native vector database to your Data and AI platform. He will also cover a quick introduction to Milvus, Vector Databases and unstructured data processing. By adding Milvus to your architecture you can scale out and improve your AI use cases through RAG, Real-Time Search, Multimodal Search, Recommendations Engines, fraud detection and many more emerging use cases.
As I will show, Edge devices even as small and inexpensive as a Raspberry Pi 5 can work in machine learning, deep learning and AI use cases and be enhanced with a vector database.
Tech talk 2: RAG Pipelines with Apache NiFi
Speaker: Chris Joynt, Senior PMM, Cloudera
Executing on RAG Architecture is not a set-it-and-forget-it endeavor. Unstructured or multimodal data must be cleansed, parsed, processed, chunked and vectorized before being loaded into knowledge stores and vector DB's. That needs to happen efficiently to keep our GenAI up to date always with fresh contextual data. But not only that, changes will have to be made on an ongoing basis. For example, new data sources must be added. Experimentation will be necessary to find the ideal chunking strategy. Apache NiFi is the perfect tool to build RAG pipelines to stream proprietary and external data into your RAG architectures. Come learn how to use this scalable and incredible versatile tool to quickly build pipelines to activate your GenAI use case.
Tech Talk 3: Metadata Lakes for Next-Gen AI/ML
Speaker: Lisa N Cao, Datastrato
Abstract: As data catalogs evolve to meet the growing and new demands of high-velocity, unstructured data, we see them taking a new shape as an emergent and flexible way to activate metadata for multiple uses. This talk discusses modern uses of metadata at the infrastructure level for AI-enablement in RAG pipelines in response to the new demands of the ecosystem. We will also discuss Apache (incubating) Gravitino and its open source-first approach to data cataloging across multi-cloud and geo-distributed architectures.
Who Should attend:
Anyone interested in talking and learning about Unstructured Data and Generative AI Apps.
When:
July 25, 2024
5:30PM
Hadoop Vs Snowflake Blog PDF Submission.pptxdewsharon760
Explore the key differences between Hadoop and Snowflake. Understand their unique features, use cases, and how to choose the right data platform for your needs.
1. HOW DATA
SAVES TIME
Across all industries, businesses are adapting and
saving time with how they are using and
managing data today.
Healthcare providers need to
approach infrastructure design strategically;
the right infrastructure may be the difference
between life and death.
DuPage Medical Group, a
network that includes
3,300 healthcare
professionals across 60
sites, leveraged the
NetApp clustered Data
ONTAP platform to reduce
interruptions in service and
cut log-in time from 60
seconds to 20 seconds.1
Inova Translational Medicine
Institute used the NetApp®
E-Series and EF-Series
storage systems to speed
up dataset analysis from
weeks to hours,
accelerating research
breakthroughs.2
weeks hours
Germany’s national
meteorological service,
Deutscher Wetterdienst,
reduced the time to
calculate weather
conditions from 15 seconds
to 1 second or less.3
Weather forecasts are critical for routing flights
and directing emergency first-responders.
40 45hours minutes
When Toei Animation Co. in Japan
implemented a NetApp EF550
all-flash array, web pages
displayed 3 to 4 times more
quickly and e-commerce product
searches became faster, too.5
The Electricity Authority
of Cyprus used NetApp’s
FlexPod® solution to cut
backup time from 40
hours to 45 minutes and
SAP® reporting time from 24
hours to significantly less.8
When Northumberland County
transitioned many of its services
to a hybrid cloud managed by
NetApp, more timely billing cycles
and faster revenue collection
added up to $1.1 million in
taxpayer savings.6
When Atasay Jewelry built a private cloud based on NetApp
and VMware products, it reduced administration time by 40%
and accelerated backups by 85%.9
Source Links:
1. http://www.netapp.com/us/media/cs-dupage-medical-group.pdf
2. http://www.netapp.com/us/media/cs-6794.pdf
3. http://www.netapp.com/us/media/cs-dwd.pdf
4. http://www.netapp.com/us/media/spot-trading-success-story.pdf
5. http://www.netapp.com/us/media/cs-6778-toei-animation-japan.pdf
6. http://www.netapp.com/us/media/cs-6817.pdf
7. http://www.netapp.com/us/media/cs-mansfield-oil.pdf
8. http://www.netapp.com/us/media/cs-6808.pdf
9. http://www.netapp.com/us/media/cs-6762.pdf
1.1m3-4x
Mansfield Oil used NetApp storage
systems and the clustered Data
ONTAP OS to reduce time to
market for new applications
and services by 50% while
improving quality.7
50%
2-3 days minutes
Trading firm Spot Trading used
NetApp AltaVault®
cloud-integrated
storage to save its
IT team the 40
hours per month
it used to dedicate
to archival storage.
Data restores now occur in
minutes instead of 2 to 3 days.4
hours
40
60 sec 20 sec
15 sec 1 sec