Analytics 3.0 Measurable business impact from analytics & big dataMicrosoft
Presentación del evento de Harvard Business Review sobre Analítica y Big Data
(15 de Octubre 2013)
"Featuring analytics expert Tom Davenport, author of Competing on Analytics, Analytics at Work, and the just-released Keeping Up with the Quants" 
Analytics 3.0 Measurable business impact from analytics & big dataMicrosoft
Presentación del evento de Harvard Business Review sobre Analítica y Big Data
(15 de Octubre 2013)
"Featuring analytics expert Tom Davenport, author of Competing on Analytics, Analytics at Work, and the just-released Keeping Up with the Quants" 
8.17.11 big data and hadoop with informatica slideshareJulianna DeLua
This presentation provides a briefing on Big Data and Hadoop and how Informatica's Big Data Integration plays a role to empower the data-centric enterprise.
Joe Caserta's 2016 Data Summit Workshop "Introduction to Data Science with Hadoop" on May 9, expanded on his Intro to Data Science Workshop held at last year's Summit. Again, Joe presented to a standing-room only audience with a focus on the data lake, governance and the role of the data scientist.
For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/
Role of Data in Digital TransformationVMware Tanzu
Data plays a big role in building the kinds of experiences demanded by the market today. In this session, we’ll unpack what goes into building a data-driven app, case studies of how organizations have successfully overcome siloed data and analytics to bring new predictive features into their applications, and what your next steps for data should be on your digital transformation journey.
Speaker: Les Klein, EMEA CTO Data, Pivotal
Understanding Big Data Analytics - solutions for growing businesses - Rafał M...GetInData
Did you like it? Check out our blog to stay up to date: https://getindata.com/blog
Data Analytics became a central point in many Digital Transformation programs. Building a data-driven organisation requires a common understanding the foundations of data analytics on every level. This presentation will help you and your colleagues understand Big Data, Data Science, Machine Learning and Artificial Intelligence.
Watch our webinar about Big Data Analytics: https://youtu.be/jdfKHVWov6A
Speaker: Rafał Małanij
---
Getindata is a company founded in 2014 by ex-Spotify data engineers. From day one our focus has been on Big Data projects. We bring together a group of best and most experienced experts in Poland, working with cloud and open-source Big Data technologies to help companies build scalable data architectures and implement advanced analytics over large data sets.
Our experts have vast production experience in implementing Big Data projects for Polish as well as foreign companies including i.a. Spotify, Play, Truecaller, Kcell, Acast, Allegro, ING, Agora, Synerise, StepStone, iZettle and many others from the pharmaceutical, media, finance and FMCG industries.
https://getindata.com
Maximize the Value of Your Data: Neo4j Graph Data PlatformNeo4j
In this 60-minute conversation with IDC, we will highlight the momentum and reasons why a graph data platform is a breakthrough solution for businesses in need of a flexible data model.
Please join Mohit Sagar, Group Managing Director of CIO Network, as he hosts the conversation with Dr. Christopher Lee Marshall, Associate VP at IDC, and Nik Vora, Vice President of APAC at Neo4. During this very exciting discussion, you'll discover the insights and knowledge unlocked with the graph data platform.
An Agile & Adaptive Approach to Addressing Financial Services Regulations and...Neo4j
Watch this webinar and learn how Neo4j and ICC Technology can help you remove risk from your data governance by improving the way you approach data lineage. We’ll cover some of the common approaches, driving regulations and biggest risks for banks and finances services.
-Find out how Data Lineage is becoming more complex for Banks and Financial Services companies
-Learn how a native-graph model can improve tracing data sources to targets as well as store transformations.
-Watch a demonstration on how you might approach regulations such as BCBS 239
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few.
Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO.
Agenda included:
- Pizza and Networking
- Joe Caserta, President, Caserta Concepts - Why are we here?
- Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration
- Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing
- James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service
- Q&A, Networking
For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/
Global Business Intelligence (BI) software vendor, Yellowfin, and Actian Corporation, pioneers of the record-breaking analytical database Vectorwise, will host a series of Big Data and BI Best Practices Webinars.
These are the slides from that presentation.
The Big Data & BI Best Practices Webinars and associated slides examine the phenomenal growth in business data and outline strategies for effectively, efficiently and quickly harnessing and exploring ‘Big Data’ for competitive advantage.
This presentation is prepared by one of our renowned tutor "Suraj"
If you are interested to learn more about Big Data, Hadoop, data Science then join our free Introduction class on 14 Jan at 11 AM GMT. To register your interest email us at info@uplatz.com
BDAS-2017 | Deep Neural Networks Para la Detección de PhishingBig-Data-Summit
Los ataques de "phishing" dirigidos contra instituciones financieras constituyen una creciente y peligrosa amenaza. Cada año, las instituciones deben dedicar grandes sumas de dinero a la detección, prevención y mitigación de estos ataques. En esta presentación explicaremos cómo usando la URLs de una página web es posible estimar si el sitio está siendo usado para phishing. En particular, compararemos el modelo tradicional de ingeniería de variables y random forest, versus un método moderno de redes neuronales recurrentes (LSTM). Los resultados mostraran como el método de redes neuronales tiene un poder predictivo mayor al 98% sin la necesidad de crear manualmente variables, ganandole por 5% al random forest.
You can view the full presentation of this webinar here: http://info.datameer.com/Slideshare-Fighting-Fraud-this-Holiday-Season.html
In 2012, retailers lost $3.5 billion in revenue to online fraud. These losses spike by a substantial estimated 20% during the holiday season.
Join Datameer and Hortonworks in this webinar to learn how Big Data Analytics can be used to identify new fraud schemes during peak fraud season.
In this webinar, you will learn about:
current challenges in identifying fraud
what to look for in a big data solution addressing fraud
how big data analytics can identify credit card fraud
best practices
Building New Data Ecosystem for Customer Analytics, Strata + Hadoop World, 2016Caserta
Caserta Concepts Founder and President, Joe Caserta, gave this presentation at Strata + Hadoop World 2016 in New York, NY. His session covers path-to-purchase analytics using a data lake and spark.
For more information, visit http://casertaconcepts.com/
Analyzing Unstructured Data in Hadoop WebinarDatameer
Unstructured data is growing 62% per year faster than structured data. According to Gartner, data volumes are set to grow 800% in aggregate over the next 5 years, and 80% of it will be unstructured data.
This on-demand webinar will highlight and discuss:
How applying big data analytics to unstructured data can help you gain richer, deeper and more accurate insights to gain competitive advantages
The sources of unstructured data which include email, social media platforms, CRM systems, call center platforms (including notes and speech-to-text transcripts), and web scrapes
How monitoring the communications of your customers and prospects enables you to make time-sensitive decisions and jump on new business opportunities
Understanding Big Data: Strategies to Re-envision Decision-Making
Amy Mayer, Vice President, Capgemini
Oracle Analytics Leader, North America
Presented at Oracle OpenWorld 2012
8.17.11 big data and hadoop with informatica slideshareJulianna DeLua
This presentation provides a briefing on Big Data and Hadoop and how Informatica's Big Data Integration plays a role to empower the data-centric enterprise.
Joe Caserta's 2016 Data Summit Workshop "Introduction to Data Science with Hadoop" on May 9, expanded on his Intro to Data Science Workshop held at last year's Summit. Again, Joe presented to a standing-room only audience with a focus on the data lake, governance and the role of the data scientist.
For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/
Role of Data in Digital TransformationVMware Tanzu
Data plays a big role in building the kinds of experiences demanded by the market today. In this session, we’ll unpack what goes into building a data-driven app, case studies of how organizations have successfully overcome siloed data and analytics to bring new predictive features into their applications, and what your next steps for data should be on your digital transformation journey.
Speaker: Les Klein, EMEA CTO Data, Pivotal
Understanding Big Data Analytics - solutions for growing businesses - Rafał M...GetInData
Did you like it? Check out our blog to stay up to date: https://getindata.com/blog
Data Analytics became a central point in many Digital Transformation programs. Building a data-driven organisation requires a common understanding the foundations of data analytics on every level. This presentation will help you and your colleagues understand Big Data, Data Science, Machine Learning and Artificial Intelligence.
Watch our webinar about Big Data Analytics: https://youtu.be/jdfKHVWov6A
Speaker: Rafał Małanij
---
Getindata is a company founded in 2014 by ex-Spotify data engineers. From day one our focus has been on Big Data projects. We bring together a group of best and most experienced experts in Poland, working with cloud and open-source Big Data technologies to help companies build scalable data architectures and implement advanced analytics over large data sets.
Our experts have vast production experience in implementing Big Data projects for Polish as well as foreign companies including i.a. Spotify, Play, Truecaller, Kcell, Acast, Allegro, ING, Agora, Synerise, StepStone, iZettle and many others from the pharmaceutical, media, finance and FMCG industries.
https://getindata.com
Maximize the Value of Your Data: Neo4j Graph Data PlatformNeo4j
In this 60-minute conversation with IDC, we will highlight the momentum and reasons why a graph data platform is a breakthrough solution for businesses in need of a flexible data model.
Please join Mohit Sagar, Group Managing Director of CIO Network, as he hosts the conversation with Dr. Christopher Lee Marshall, Associate VP at IDC, and Nik Vora, Vice President of APAC at Neo4. During this very exciting discussion, you'll discover the insights and knowledge unlocked with the graph data platform.
An Agile & Adaptive Approach to Addressing Financial Services Regulations and...Neo4j
Watch this webinar and learn how Neo4j and ICC Technology can help you remove risk from your data governance by improving the way you approach data lineage. We’ll cover some of the common approaches, driving regulations and biggest risks for banks and finances services.
-Find out how Data Lineage is becoming more complex for Banks and Financial Services companies
-Learn how a native-graph model can improve tracing data sources to targets as well as store transformations.
-Watch a demonstration on how you might approach regulations such as BCBS 239
Caserta Concepts, Datameer and Microsoft shared their combined knowledge and a use case on big data, the cloud and deep analytics. Attendes learned how a global leader in the test, measurement and control systems market reduced their big data implementations from 18 months to just a few.
Speakers shared how to provide a business user-friendly, self-service environment for data discovery and analytics, and focus on how to extend and optimize Hadoop based analytics, highlighting the advantages and practical applications of deploying on the cloud for enhanced performance, scalability and lower TCO.
Agenda included:
- Pizza and Networking
- Joe Caserta, President, Caserta Concepts - Why are we here?
- Nikhil Kumar, Sr. Solutions Engineer, Datameer - Solution use cases and technical demonstration
- Stefan Groschupf, CEO & Chairman, Datameer - The evolving Hadoop-based analytics trends and the role of cloud computing
- James Serra, Data Platform Solution Architect, Microsoft, Benefits of the Azure Cloud Service
- Q&A, Networking
For more information on Caserta Concepts, visit our website: http://casertaconcepts.com/
Global Business Intelligence (BI) software vendor, Yellowfin, and Actian Corporation, pioneers of the record-breaking analytical database Vectorwise, will host a series of Big Data and BI Best Practices Webinars.
These are the slides from that presentation.
The Big Data & BI Best Practices Webinars and associated slides examine the phenomenal growth in business data and outline strategies for effectively, efficiently and quickly harnessing and exploring ‘Big Data’ for competitive advantage.
This presentation is prepared by one of our renowned tutor "Suraj"
If you are interested to learn more about Big Data, Hadoop, data Science then join our free Introduction class on 14 Jan at 11 AM GMT. To register your interest email us at info@uplatz.com
BDAS-2017 | Deep Neural Networks Para la Detección de PhishingBig-Data-Summit
Los ataques de "phishing" dirigidos contra instituciones financieras constituyen una creciente y peligrosa amenaza. Cada año, las instituciones deben dedicar grandes sumas de dinero a la detección, prevención y mitigación de estos ataques. En esta presentación explicaremos cómo usando la URLs de una página web es posible estimar si el sitio está siendo usado para phishing. En particular, compararemos el modelo tradicional de ingeniería de variables y random forest, versus un método moderno de redes neuronales recurrentes (LSTM). Los resultados mostraran como el método de redes neuronales tiene un poder predictivo mayor al 98% sin la necesidad de crear manualmente variables, ganandole por 5% al random forest.
You can view the full presentation of this webinar here: http://info.datameer.com/Slideshare-Fighting-Fraud-this-Holiday-Season.html
In 2012, retailers lost $3.5 billion in revenue to online fraud. These losses spike by a substantial estimated 20% during the holiday season.
Join Datameer and Hortonworks in this webinar to learn how Big Data Analytics can be used to identify new fraud schemes during peak fraud season.
In this webinar, you will learn about:
current challenges in identifying fraud
what to look for in a big data solution addressing fraud
how big data analytics can identify credit card fraud
best practices
Building New Data Ecosystem for Customer Analytics, Strata + Hadoop World, 2016Caserta
Caserta Concepts Founder and President, Joe Caserta, gave this presentation at Strata + Hadoop World 2016 in New York, NY. His session covers path-to-purchase analytics using a data lake and spark.
For more information, visit http://casertaconcepts.com/
Analyzing Unstructured Data in Hadoop WebinarDatameer
Unstructured data is growing 62% per year faster than structured data. According to Gartner, data volumes are set to grow 800% in aggregate over the next 5 years, and 80% of it will be unstructured data.
This on-demand webinar will highlight and discuss:
How applying big data analytics to unstructured data can help you gain richer, deeper and more accurate insights to gain competitive advantages
The sources of unstructured data which include email, social media platforms, CRM systems, call center platforms (including notes and speech-to-text transcripts), and web scrapes
How monitoring the communications of your customers and prospects enables you to make time-sensitive decisions and jump on new business opportunities
Understanding Big Data: Strategies to Re-envision Decision-Making
Amy Mayer, Vice President, Capgemini
Oracle Analytics Leader, North America
Presented at Oracle OpenWorld 2012
Sponsored by Data Transformed, the KNIME Meetup was a big success. Please find the slides for Dan's, Tom's, Anand's and Chhitesh's presentations.
Agenda:
Registration & Networking
Keynote – Dan Cox, CEO of Data Transformed
KNIME & Harvest Analytics – Tom Park
Office of State Revenue Case Study – Anand Antony
Using Spark with KNIME – Chhitesh Shrestha
Networking & Drinks
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...Matt Stubbs
Date: 14th November 2018
Location: Governance and MDM Theatre
Time: 10:30 - 11:00
Speaker: Mike Ferguson
Organisation: IBS
About: For most organisations today, data complexity has increased rapidly. In the area of operations, we now have cloud and on-premises OLTP systems with customers, partners and suppliers accessing these applications via APIs and mobile apps. In the area of analytics, we now have data warehouse, data marts, big data Hadoop systems, NoSQL databases, streaming data platforms, cloud storage, cloud data warehouses, and IoT-generated data being created at the edge. Also, the number of data sources is exploding as companies ingest more and more external data such as weather and open government data. Silos have also appeared everywhere as business users are buying in self-service data preparation tools without consideration for how these tools integrate with what IT is using to integrate data. Yet new regulations are demanding that we do a better job of governing data, and business executives are demanding more agility to remain competitive in a digital economy. So how can companies remain agile, reduce cost and reduce the time-to-value when data complexity is on the up?
In this session, Mike will discuss how companies can create an information supply chain to manufacture business-ready data and analytics to reduce time to value and improve agility while also getting data under control.
Big Data kennen sehr viele IT-Experten, wenigstens haben Sie eine Vorstellung davon. In der Praxis arbeiten damit in Deutschland derzeit nur wenige. Dabei bringt Big Data ein ganz neues Momentum in moderne Softwarelösungen und ist im Kontext der Mobil-, Cloud- und Social-Veränderungen nicht wegzudenken. Big Data macht Software intelligent und damit auf eine ganz neue Art für die Benutzer erlebbar. Mit Big Data entstehen neue Softwarearchitekturen, weil Informationen völlig anders verarbeitet werden - nämlich schneller, differenzierter und oft mit dem Ziel, Schlüsse zu ziehen und Vorhersagen zu treffen.
In diesem Vortrag wird erläutert, wie moderne Softwarearchitekturen gestaltet werden, sodass Sie Big Data Paradigmen erfolgreich umsetzen und welche Vorteile sich für die zunehmend mobilen Softwarelösungen ergeben. Wir werfen zudem einen Blick auf die Potentiale und Optionen in Branchen wie Banken, Versicherung oder Handel.
Accelerate Self-Service Analytics with Data Virtualization and VisualizationDenodo
Watch full webinar here: https://bit.ly/3fpitC3
Enterprise organizations are shifting to self-service analytics as business users need real-time access to holistic and consistent views of data regardless of its location, source or type for arriving at critical decisions.
Data Virtualization and Data Visualization work together through a universal semantic layer. Learn how they enable self-service data discovery and improve performance of your reports and dashboards.
In this session, you will learn:
- Challenges faced by business users
- How data virtualization enables self-service analytics
- Use case and lessons from customer success
- Overview of the highlight features in Tableau
CTO Radshow Hamburg17 - Keynote - The CxO responsibilities in Big Data and AI...Santiago Cabrera-Naranjo
When talking about how the future of Big Data will look like, this conversation often turns straight to Artificial Intelligence and Deep Learning. However, today data science is all too often a process where new insights and models get developed as a one-time effort or deployed to production on an ad-hoc basis i.e. they commonly require regular babysitting for monitoring and updating.
According to Gartner, the number of useless Data Lakes will be of 90% in 2018. Furthermore, only 15% of Big Data Products are mature enough to be deployed into Production - Who is responsible to make Big Data successful and Business relevant within an enterprise?
IBM's Watson is a machine-learning platform that’s been built to mirror the same learning process that humans have: Observe, Interpret, Evaluate and Decide. Through the use of this cognitive framework, Watson can search through a database of information and pull out key insights to bridge gaps in human knowledge. It’s expertise scaling for enterprise.
Watson has already helped businesses across a variety of industries increase their customer engagement, data discovery and informed decision making abilities. Is your business next?
BDW Chicago 2016 - Ramu Kalvakuntla, Sr. Principal - Technical - Big Data Pra...Big Data Week
We all are aware of the challenges enterprises are having with growing data and silo’d data stores. Business is not able to make reliable decisions with un-trusted data and on top of that, they don’t have access to all data within and outside their enterprise to stay ahead of the competition and make key decisions in their business
This session will take a deep dive into current challenges business are having today and how to build a Modern Data Architecture using emerging technologies such as Hadoop, Spark, NoSQL data stores, MPP Data stores and scalable and cost effective cloud solutions such as AWS, Azure and Bigstep.
The new dominant companies are running on data SnapLogic
The cost of Digital Transformation is dropping rapidly. The technologies and methodologies are evolving to open up new opportunities for new and established corporations to drive business. We will examine specific examples of how and why a combination of robust infrastructure, cloud first and machine learning can take your company to the next level of value and efficiency.
Rich Dill, SnapLogic's enterprise solutions architect, at Big Data LDN 2017.
Why Everything You Know About bigdata Is A LieSunil Ranka
As a big data technologist, you can bet that you have heard it all: every crazy claim, myth, and outright lie about what big data is and what it isn't that you can imagine, and probably a few that you can't.If your company has a big data initiative or is considering one, you should be aware of these false statements and the reasons why they are wrong.
A Winning Strategy for the Digital EconomyEric Kavanagh
The speed of innovation today creates tremendous opportunities for some, existential threats for others. Companies that win create their own success by leveraging modern data platforms. While architectures vary, the foundation is often in-memory, and the latency is real-time. Register for this Special Edition of The Briefing Room to hear veteran Analyst Dr. Robin Bloor explain how today's data platforms enable the modern enterprise in groundbreaking ways. He'll be briefed by Chris Hallenbeck of SAP who will demonstrate how forward-looking companies are leveraging real-time data platforms to achieve operational excellence, make decisions faster, and find new ways to innovate.
IBM Solutions Connect 2013 - Getting started with Big DataIBM Software India
You've heard of Big Data for sure. But what are the implications of this for your organisation? Can your organisation leverage Big Data too? If you decide to go ahead with your Big Data implementation where do you start? If these questions sound familiar to you then you've stumbled upon the right presentation. Go through the presentation to:
a. Learn more on Big data
b. How Big data can help you outperform in your marketplace.
c. How to proactively manage security and risk
d. How to create IT agility to underpin the business
Also, learn about IBM's superior Big Data technologies and how they are helping today's organisations take smarter decisions and actions.
Capitalize on Big Data Through Hitachi InnovationHitachi Vantara
We are creating more digitized data than ever before. Big data is about gaining new business insight from expanded and previously untapped sources of information, including unstructured content, machine data logs and social media. This webcast will explain how Hitachi Data Systems delivers the infrastructure, services, content and partner solutions like SAP HANA to help you capitalize on this opportunity today. The webcast will also show how the combined companies of Hitachi, Ltd. are at the forefront of innovation for the world of big data of tomorrow. By viewing this webcast, you’ll learn how to: Use HDS infrastructure to better manage data centers for big data. Analyze content for enterprise dark data. Work with HDS partners and services to develop a comprehensive big data solution. For more information on our big data solutions please visit: http://www.hds.com/solutions/it-strategies/big-data/?WT.ac=us_mg_sol_bigdat
A Hitchhiker’s Guide to the Digital Economy for Banks by Ilker TasdemirMDS ap
MDSap Presentation at MEBIS 2018 on how the banking industry is being disrupted in the digital economy where technology changes everything from how customers find, select and engage with banks to how third-party financial services, P2P platforms, and the broader FSI eco-systems will be replacing many of the traditional services banks provide. This session offers advisory for banks to start their digital transformation and the best way to quickly gain ROI.
SAP Forum Ankara 2018 - IETT RITIM Başarı HikayesiMDS ap
Metrobüs toplu taşıma sistemini, farklı kaynaklardan gelen verileri birleştirerek analiz etmek, sistemi canlı izlemeye olanak sağlamak ve idari birime önceden karar almada yardımcı olabilmek amacıyla tasarlanmış projeye ait başarı sunumu IETT sunumuyla SAP Forum Ankara 2018 katılımcılarıyla buluştu.
A presentation on why it is important to innovation in the age of digital and more importantly what organizations can do to effectively manage innovation and ideas.
Presented by Ilker Tasdemir, Director of Business Development and Analytics at MDS ap
BI Journey of Rotana Hotel Management Corporation MDS ap
A presentation by the Corporate Vice President of Rotana Hotel Management Corporation about the company's Business Intelligence journey and how they shaped the future roadmap
(Turkish) SAP Forum 2017: ING Bank Başarı Hikayesi Sunumu - Kurumsal Bilgi Yö...MDS ap
ING Bank's presentation of the joint project with MDS ap - "Data Modeling in SDLC". The presentation was delivered at SAP Forum Istanbul 2017.
***
ING Bank ile gerçekleştireceğimiz sunumda
“Yazılım Geliştirme Hayat Döngüsü” içinde modellemenin yeri ve kuruma getirdiği avantajlar dile getirilecektir. ING Bank, MDS ap ve SAP PowerDesigner seçimlerini, veri modelleme
projelerini ve deneyimlerini aktaracaktır.
MEBIS 2017: Next Generation Banking AnalyticsMDS ap
Today's digital empowered customers are challenging the business world. They become increasing savvy in their search for the best offers; their expectations continue to rise; their choices are growing too. Effectively customers engagement based on Real-Time Insight is the new imperative for all banks today.
In this presentation, MDS ap demonstrates how the next generation marketing technology leverages real-time customer context to deliver the optimum customer experience.
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Globus
Large Language Models (LLMs) are currently the center of attention in the tech world, particularly for their potential to advance research. In this presentation, we'll explore a straightforward and effective method for quickly initiating inference runs on supercomputers using the vLLM tool with Globus Compute, specifically on the Polaris system at ALCF. We'll begin by briefly discussing the popularity and applications of LLMs in various fields. Following this, we will introduce the vLLM tool, and explain how it integrates with Globus Compute to efficiently manage LLM operations on Polaris. Attendees will learn the practical aspects of setting up and remotely triggering LLMs from local machines, focusing on ease of use and efficiency. This talk is ideal for researchers and practitioners looking to leverage the power of LLMs in their work, offering a clear guide to harnessing supercomputing resources for quick and effective LLM inference.
Code reviews are vital for ensuring good code quality. They serve as one of our last lines of defense against bugs and subpar code reaching production.
Yet, they often turn into annoying tasks riddled with frustration, hostility, unclear feedback and lack of standards. How can we improve this crucial process?
In this session we will cover:
- The Art of Effective Code Reviews
- Streamlining the Review Process
- Elevating Reviews with Automated Tools
By the end of this presentation, you'll have the knowledge on how to organize and improve your code review proces
A Comprehensive Look at Generative AI in Retail App Testing.pdfkalichargn70th171
Traditional software testing methods are being challenged in retail, where customer expectations and technological advancements continually shape the landscape. Enter generative AI—a transformative subset of artificial intelligence technologies poised to revolutionize software testing.
top nidhi software solution freedownloadvrstrong314
This presentation emphasizes the importance of data security and legal compliance for Nidhi companies in India. It highlights how online Nidhi software solutions, like Vector Nidhi Software, offer advanced features tailored to these needs. Key aspects include encryption, access controls, and audit trails to ensure data security. The software complies with regulatory guidelines from the MCA and RBI and adheres to Nidhi Rules, 2014. With customizable, user-friendly interfaces and real-time features, these Nidhi software solutions enhance efficiency, support growth, and provide exceptional member services. The presentation concludes with contact information for further inquiries.
Listen to the keynote address and hear about the latest developments from Rachana Ananthakrishnan and Ian Foster who review the updates to the Globus Platform and Service, and the relevance of Globus to the scientific community as an automation platform to accelerate scientific discovery.
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Globus
The Earth System Grid Federation (ESGF) is a global network of data servers that archives and distributes the planet’s largest collection of Earth system model output for thousands of climate and environmental scientists worldwide. Many of these petabyte-scale data archives are located in proximity to large high-performance computing (HPC) or cloud computing resources, but the primary workflow for data users consists of transferring data, and applying computations on a different system. As a part of the ESGF 2.0 US project (funded by the United States Department of Energy Office of Science), we developed pre-defined data workflows, which can be run on-demand, capable of applying many data reduction and data analysis to the large ESGF data archives, transferring only the resultant analysis (ex. visualizations, smaller data files). In this talk, we will showcase a few of these workflows, highlighting how Globus Flows can be used for petabyte-scale climate analysis.
We describe the deployment and use of Globus Compute for remote computation. This content is aimed at researchers who wish to compute on remote resources using a unified programming interface, as well as system administrators who will deploy and operate Globus Compute services on their research computing infrastructure.
Experience our free, in-depth three-part Tendenci Platform Corporate Membership Management workshop series! In Session 1 on May 14th, 2024, we began with an Introduction and Setup, mastering the configuration of your Corporate Membership Module settings to establish membership types, applications, and more. Then, on May 16th, 2024, in Session 2, we focused on binding individual members to a Corporate Membership and Corporate Reps, teaching you how to add individual members and assign Corporate Representatives to manage dues, renewals, and associated members. Finally, on May 28th, 2024, in Session 3, we covered questions and concerns, addressing any queries or issues you may have.
For more Tendenci AMS events, check out www.tendenci.com/events
Accelerate Enterprise Software Engineering with PlatformlessWSO2
Key takeaways:
Challenges of building platforms and the benefits of platformless.
Key principles of platformless, including API-first, cloud-native middleware, platform engineering, and developer experience.
How Choreo enables the platformless experience.
How key concepts like application architecture, domain-driven design, zero trust, and cell-based architecture are inherently a part of Choreo.
Demo of an end-to-end app built and deployed on Choreo.
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Navigating the Metaverse: A Journey into Virtual Evolution"Donna Lenk
Join us for an exploration of the Metaverse's evolution, where innovation meets imagination. Discover new dimensions of virtual events, engage with thought-provoking discussions, and witness the transformative power of digital realms."
Unleash Unlimited Potential with One-Time Purchase
BoxLang is more than just a language; it's a community. By choosing a Visionary License, you're not just investing in your success, you're actively contributing to the ongoing development and support of BoxLang.
Into the Box Keynote Day 2: Unveiling amazing updates and announcements for modern CFML developers! Get ready for exciting releases and updates on Ortus tools and products. Stay tuned for cutting-edge innovations designed to boost your productivity.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Prosigns: Transforming Business with Tailored Technology SolutionsProsigns
Unlocking Business Potential: Tailored Technology Solutions by Prosigns
Discover how Prosigns, a leading technology solutions provider, partners with businesses to drive innovation and success. Our presentation showcases our comprehensive range of services, including custom software development, web and mobile app development, AI & ML solutions, blockchain integration, DevOps services, and Microsoft Dynamics 365 support.
Custom Software Development: Prosigns specializes in creating bespoke software solutions that cater to your unique business needs. Our team of experts works closely with you to understand your requirements and deliver tailor-made software that enhances efficiency and drives growth.
Web and Mobile App Development: From responsive websites to intuitive mobile applications, Prosigns develops cutting-edge solutions that engage users and deliver seamless experiences across devices.
AI & ML Solutions: Harnessing the power of Artificial Intelligence and Machine Learning, Prosigns provides smart solutions that automate processes, provide valuable insights, and drive informed decision-making.
Blockchain Integration: Prosigns offers comprehensive blockchain solutions, including development, integration, and consulting services, enabling businesses to leverage blockchain technology for enhanced security, transparency, and efficiency.
DevOps Services: Prosigns' DevOps services streamline development and operations processes, ensuring faster and more reliable software delivery through automation and continuous integration.
Microsoft Dynamics 365 Support: Prosigns provides comprehensive support and maintenance services for Microsoft Dynamics 365, ensuring your system is always up-to-date, secure, and running smoothly.
Learn how our collaborative approach and dedication to excellence help businesses achieve their goals and stay ahead in today's digital landscape. From concept to deployment, Prosigns is your trusted partner for transforming ideas into reality and unlocking the full potential of your business.
Join us on a journey of innovation and growth. Let's partner for success with Prosigns.
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Anthony Dahanne
Les Buildpacks existent depuis plus de 10 ans ! D’abord, ils étaient utilisés pour détecter et construire une application avant de la déployer sur certains PaaS. Ensuite, nous avons pu créer des images Docker (OCI) avec leur dernière génération, les Cloud Native Buildpacks (CNCF en incubation). Sont-ils une bonne alternative au Dockerfile ? Que sont les buildpacks Paketo ? Quelles communautés les soutiennent et comment ?
Venez le découvrir lors de cette session ignite
2. 2
Eastern
Europe
Middle East
Africa
49+ years of Experience in IT (Since 1967)
4500+ Employees in 30 countries across 3 continents
150+ companies unified under the group
100+ top resellers awards from global IT Leaders
A 4 billion USD Leader offering stability & high Integrity
in Technology & Solutions
SAP Partner Centre of Excellence
MDS AP Tech Overview
a MIDIS Group Company
➢ Over 24 Years of in depth experiences helping customers Manage, Integrate,
Analyze and Mobilize Business Mission critical Data across the enterprise;
Exceptional track record providing Turnkey IT Solutions across Turkey, Middle
East & Europe.
➢ A Unique Partnership with SAP; Implementing Excellence; Optimizing
Application Management
➢ Strategic long term partnerships with our customers; Focusing on Customer
Satisfaction and Technology Innovation
➢ Help customers better use their data assets to improve business performance
and make smarter decisions
3. 3
Data Management Enterprise
Performance
Management
Business Analytics Enterprise
Architecture
Omnichannel and
Cloud Solutions
• OLTP & Real Time Database
• High Performance Analytic
database
• Data Archiving
• Data Replication
• Data Connectivity
• Security & Auditing
• Disaster Recovery
• Big Data
• Strategy Management
• Budgeting and Planning
• Financial Consolidation
• Profitability and Cost
Management
• Disclosure management
• IFRS9 Reporting
• Operational & Analytical
Reporting
• Executive Dashboards
• Predictive Analysis
• Data Discovery &
Visualization
• Enterprise Data
Warehousing
• Data Modelling
• Complex Event Processing
• Data Quality Management
• Master Data Management
• Meta Data Management
• Enterprise Integration
• Analytical LOB Apps
• Data Modelling
• Business Process Modelling
• Zachman framework
• TOGAF methodology
• e-Commerce
• e-Marketing
• CRM
• HRMS
• e-Banking
• Mobile Banking
• Omnichannel Solutions
MDS AP Tech
Practices Overview
4. 4
4
MDS AP with the best of breed SAP Business Analytics Platform
provides complete Agile Visualization & Advanced Analytics
Solutions that optimize Any Data Variety, regardless of its
structure, at Real-Time Velocity, to deliver next generation analytics
Our Mission is to provide high quality service to our strategic
customers by delivering world class solution offerings with high
integrity, commitment and professionalism.
Our Vision is to become the leading partner that brings value
to our customer base.
Our Differentiators
8. 8
Verinin Tarihçesi
40,000 BCE
Cave drawings and tally(bone) sticks. These are used to track trading activity and record inventory
2400 BCE
The abacus is developed, and the first libraries are built in Babylonia
300 BCE – 48 AD
The Library of Alexandria is the world’s largest data storage center
100 AD – 200 AD
The Antikythera Mechanism – the first mechanical computer – is developed in Greece
1928
Fritz Pfleumer creates a method of storing data magnetically, which forms basis of modern digital data storage technology.
1970
Relational Database model developed by IBM mathematician Edgar F Codd. The Hierarchal file system allows records to be accessed using a simple index system. This means
anyone can use databases, not just computer scientists.
1991
The birth of the internet. Anyone can now go online and upload their own data, or analyze data uploaded by other people.
2005
Hadoop – an open source Big Data framework now developed by Apache – is developed. The birth of “Web 2.0 – the user-generated web”.
2008
Globally 9.57 zettabytes (9.57 trillion gigabytes) of information is processed by the world’s CPUs.
An estimated 14.7 exabytes of new information is produced this year.
2010
Eric Schmidt, executive chairman of Google, tells a conference that as much data is now being created every two days, as was created from the beginning of human
civilization to the year 2003.
2016
1.3B people on business and social networks today. 1 Yottabyte has been reached and it’s predicted
that by 2020 we’ll reach 6 Yottabytes (6,000 exabytes).
9. 9
Verinin Değişimi
Data Type Range Max Precision
CHAR(n)
CHARACTER(n)
1<=n<=32K-1
1<=n<=32K-1
n/a
n/a
VARCHAR(n)
CHARACTER
VARYING(n)
1<=n<=32K-1
1<=n<=32K-1
n/a
n/a
INTEGER/INT
UNSIGNED INT
-2(^31)<=n<=2(^31)-1
Or –2,147,483,648 and 2147483647
0 TO 4294967294
10
TINYINT 0<=n<=255 3
SMALLINT -2(^15)<=n<=2(^15)-1
Or
-32,768 to 32,767
5
BIGINT(n)
UNSIGNED
BIGINT(n)
-9.2(^18)<=N<=9.2(^18)-1
Or
0 and 1.8(^19)-1
20
FLOAT(precision) Platform-dependant 16
REAL(precision) Platform-dependant 7
DATE Jan 1, 0001 to Dec 31, 9999 n/a
DATETIME
SMALLDATETIME
TIMESTAMP
0001-01-01 00:00:00.000000 to
9999-12-31 23:59:59.999999
n/a
TIME 00:00:00.000000 to
23:59:59.999999
n/a
DECIMAL(p,s)
NUMERIC(p,s)
-1038 to 1038-1 126
DOUBLE 2.22(^-308) to 1.79(^308) 15
BIT 0, 1 n/a
MONEY 19
SMALLMONEY 10
BINARY (length) n/a
UNIQUEIDENTIFIERSTR 36 n/a
VARBINARY (length) n/a
13. 13
Semi/Unstructured sources
Consider:
Web pages, E-mail, news & blog articles, forum postings, and other social media.
Contact-centre notes and transcripts.
Surveys, feedback forms, warranty claims.
And every kind of corporate documents imaginable.
Date: Sun, 13 Mar 2005 19:58:39 -0500
From: Adam L. Buchsbaum <alb@research.att.com>
To: Seth Grimes <grimes@altaplana.com>
Subject: Re: Papers on analysis on streaming data
seth, you should contact divesh srivastava,
divesh@research.att.com
regarding at&t labs data streaming technology.
adam
SURVEY
EMAIL
14. 14
Semi/Unstructured Data
Date Time Location Type Officer Report
02/02/2007 15:30 Phoenix Robbery John Smith Officer Smith arrested Pat Fitzgerald near Safeway on Tuesday. He was driving a green
Acura TL. Pat Fitzgerald stole Nintendo wiis on 01/02/2007 from Walmart. He was
transporting the Nintendo wiis to Mike Lewis in Phoenix.
15. 15
Understanding the data is key to success
Sense & Respond Predict & Act
Raw
Data
Cleaned
Data
Standard
Reports
Ad Hoc
Reports &
OLAP
Generic
Predictive
Analytics
Predictive
Modeling
Optimization
What happened?
Why did it happen?
What will happen?
What is the best that
could happen?
CompetitiveAdvantage
Analytics Maturity
16. 16
Your mobile device knows more and more about you each day
Where you are
Where you’ve been
Where you are likely to be going to
Who you’ve met
Who you are going to meet
Who you call
Who calls you
Who you TXT-IM-link
All your contacts and their details
All your URLs
All your passwords
What you are doing now
What you’ve done in the past
What music you listen to
What movie you watch
What news/books you read
What apps you use
How much you’ve slept
How much you’ve exercised
17. 17
Complex Data and Lightning Action
Traditional BI: “How many negative comments/fraudulent
transactions occurred last week in Istanbul?”
Complex Event Processing: “When 3 negative comments or
suspicious transactions occur in any 5 seconds in Istanbul,
check the comment/transaction and execute the workflow”
18. 18
The New ROI: Return on Data
Source: IDC Study: Realizing the Data Dividend, 2014.
The formula
[data + analytics + people ]
@
speed
Key Opportunity
Areas
Organizations can realize
Return on Data in several
key areas…
Productivity
Includes strategic
planning, human
capital management,
IT optimization
Operations
Includes demand
and supply chain
management,
logistics
Return
on Data
$674
billion
Return
on Data
$486
billion
Return
on Data
$158
billion
$235
billion
$1.6 trillion
Return on Data
18
Return
on Data
Customer
Facing
Includes customer
acquisition, retention,
support and pricing
Innovations
Includes service,
research and
development
innovation
20. 20
Imagine If You Could…
Reduce recall times
from 8 months to 8
minutes
Identify new fraud
patterns in seconds
vs. days
Access and
manage petabytes
of data
Avoid criminal
liability for
improper data use
in regulated
industry scenarios
And save up to
$20M in risk
exposure
And cut potential
fraud costs by
$71M
And reduce
costs by $2M
Ensure data
lineage, access
rights, and security
in Hadoop
23. 23
Why SAP HANA Vora?
Bridging the Digital Divide for Analysts, Developers, DBAs, and Data Scientists
Simplify Big Data
Ownership
Democratize Data Access
For data science discovery
Precision Decision Making
In enterprise apps + analytics
Business coherence
On-demand correlation
New insights from
aggregated data
Interactive data
Enrich the candidate
data sets
Simplified landscape
Improved correlation with
historical data
24. 24
SAP HANA Vora
What’s Inside and What Does It Do?
Democratize
Data
Access
Make
Precision
Decisions
Simplify
Big Data
Ownership
SAP HANA Vora is an in-memory query engine which leverages
and extends the Apache Spark execution framework to provide
enriched interactive analytics on Hadoop.
Drill Downs on HDFS
Mashup API Enhancements
Compiled Queries
HANA-Spark Controller
Unified Landscape
Open Programming
Any Hadoop Clusters
25. 25
YARN
HDFS
Enable Precision Decisions
With Contextual Insights In Enterprise Systems
Other Apps
Files Files Files
HANA-Spark Controller for improved
performance between distributed systems
Gain business coherence with business data and big data
Compiled queries enable applications &
data analysis to work more efficiently
across nodes
Familiar OLAP experience on Hadoop
to derive business insights from big data
such as drill-down into HDFS data
Compiled
Queries
Spark
Controller
Drill Downs
SAP HANA in-memory platform
Vora
Spark
Vora
Spark
In-Memory
Store
Application Services
Database Services
Integration Services
Processing Services
SAP HANA Platform
Vora
Spark
HANA Smart Data
Access Spark
Controller
26. 26
Democratize Data Access for Data Science Discovery
Extensive programming support for
Scala, python, C, C++, R, and Java allow
data scientists to use their tool of choice,
Pursue new inquiries without compromise on data and
easily integrate these insights with all data
Enable data scientists and developers
who prefer Spark R, Spark ML to mash
up corporate data with Hadoop/Spark
data easily
Optionally, leverage HANA’s multiple
data processing engines for developing
new insights from business and
contextual data.
Mashup
Enhancements
Open
Programming
Optional Use of SAP HANA for
Delegated, multi-engine pre-processing
Spark Data-source
API enhancement
In-Memory
Store
SAP HANA Platform
YARN
HDFSFiles Files Files
Vora
Spark
Vora
Spark
Vora
Spark
Application Services
Database Services
Integration Services
Processing Services
27. 27
Imagine How SAP HANA Vora Can Change Your Business…
Adjust your sales force
and business
resources on the fly
based on real-time info
Understand what
customers are saying
about your marketing
messages
Find fresh opportunities
for product distribution
from detailed and
archived data
And simplify your
big data
management
And work in real
time with access to
all the data
And react quickly
with fresh insights
from the data lake
And beat your
competition to new
markets with
precision targeting
Manage data as a
single system, not a
collection of fragments
28. 28
SAP HANA Vora: Financial Services Use Case
Fraud
Detection
Get access to all your data
including historical and
contextual trends and
current business data
to analyze anomalies
Risk
Mitigation
Be assured of more
precise data to perform
Monte Carlo simulations to
produce distributions of
possible outcome values
with more precise context
Targeted Marketing
Campaigns
React rapidly to customer
sentiment and pinpoint
targeting for sales and
marketing campaigns with a
more complete view of
customer needs and wants
360° Customer
Service
Ensure a more complete
picture of the customer with
analysis of unstructured
customer data, such as social
media profiles, emails, calls,
complaint logs, discussion
forums, and website history
29. 29
SAP HANA Vora: Utilities Use Case
Predictive
Maintenance
Access complete historical
information and optimize
maintenance of critical
components and low tension
devices
Grid Planning
Generate more precise
simulations with access to
more data and forecast
consumption and production
based on weather, load
profiles, and other criteria
Smart Meters
Capture and analyze real-
time data from smart meters
to quickly respond to
emergency situations with
drill-down analysis.
Pipeline Monitoring
Protect pipelines through
continuous monitoring
across the regions.
Perform root-cause
analysis in case failure.
30. 30
SAP HANA Vora: Telecommunications Use Case
Network Capacity
Planning
Access unified data from
multiple sources for a
unified OLAP view and
analyze call detail records
(CDRs) and network load
and plan infrastructure
expansions with greater
precision
Real-time Bandwidth
Allocation
Unify big data with business
data in-memory for real-time
response, and steer traffic
and optimize network quality
of service (QoS) to ensure
high service levels
Cellphone Service
Improvement
Combine ERP, CRM,
billing, and quality data in
one place for real-time
analysis to better manage
equipment placements,
leases, and services,
reduce costs, and increase
customer satisfaction
Targeted Network
Maintenance/Upgrades
Analyze machine data for
precise decisions about system
placement and reveal
opportunities for greater
incremental revenue
31. 31
SAP HANA Vora: Healthcare Use Case
360 Patient
View
Gain a more complete
picture of the patient by
bringing together test,
genomic, archive, patient
care, and patient history
data into one unified view
Insurance/Medicare
Fraud Analysis
Search claims data from
many raw sources and
uncover previously hidden
fraud patterns
Managing Recalls &
Adverse Events
Quickly track affected
persons, reduce exposure,
and limit risk by leveraging
combined contextual and
business data to proactively
deliver information in
minutes, not weeks
Diagnosis and
Research
Synthesize data from many
raw sources, in real time,
such as combining patient
data with up-to-date
journal/medical data, and
speed diagnoses and
research efforts
32. 32
Why SAP?
Technology designed from the
ground up to work with
distributed data at scale
The leading worldwide provider of
business applications with more than 40
years experience in delivering enterprise-
class applications
Leading-edge platform,
applications and business
network on premise and in the
cloud
SAP Enables
The Digital Enterprise
SAP Knows
Big Data
SAP Delivers
Worldwide Support
33. 33
Try It Today
Access the Cloud Trial >
bit.ly/1K1qLyo
Read More About it >
http://go.sap.com/product/data-
mgmt/hana-vora-hadoop.html
Talk to Your SAP/MDSAP Rep >