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Avkash Chauhan
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What it takes to create a Big Data Analytics scenario to go beyond realm of traditional BI
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Step by step discussion on creating Big Data or Hadoop strategy for any enterprise
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In the age of Big Data and large volume analytics there is a lot to cover and a lot to learn. While at Microsoft developing Windows HDInsight and now developing a one of kind Big Data product at my own company Big Data Perspective, San Francisco I have lived last several years covering Big Data at various level. This talk is customized for database and business intelligence (BI) professionals, programmers, Hadoop administrators, researchers, technical architects, operations engineers, data analysts, and data scientists understand the core concepts of Big Data Analytics on Hadoop. This webinar will be useful for those, who wants to know what is Hadoop, and how they can take advantage just by spending few dollars to run the cluster. The webinar is great for those who are looking to deploy their first data cluster and run MapReduce jobs to discover insights.
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L'offre Mobile SRM permet de publier sur l’App Store d’Apple une application dédiée à communiquer la stratégie de l’entreprise et ses résultats financiers aux investisseurs, actionnaires, et plus généralement l’ensemble de ses partenaires d’affaires. Les bénéfices de cette offres sont les suivants : • l’entreprise se positionne aux avant postes des nouveaux canaux numériques , prend une place sur l’appstore avec une communication « institutionnelle » maitrisée et valorise ses actionnaires, investisseurs et partenaire aux travers d’outils innovants • la direction financière dispose d’un puissant canal de communication avec ses actionnaires et démontre sa capacité à innover tant en interne de l’entreprise que vis-à-vis de ses partenaires externes • La direction informatique concrétise une stratégie mobile d’entreprise dans un contexte très favorable : application très visible, à l’intérieur et à l’extérieur de l’entreprise ; investissements limités (pas d’équipements mobiles à acquérir, modèle SaaS) ; peu de challenges liés à la sécurité car les données sont « publiques »…
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Business & Decision
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Chanwit Julrod
Note: Get all workshop content at - https://github.com/h2oai/h2o-meetups/tree/master/2017_02_22_Seattle_STC_Meetup Basic knowledge of R/python and general ML concepts Note: This is bring-your-own-laptop workshop. Make sure you bring your laptop in order to be able to participate in the workshop Level: 200 Time: 2 Hours Agenda: - Introduction to ML, H2O and Sparkling Water - Refresher of data manipulation in R & Python - Supervised learning ---- Understanding liner regression model with an example ---- Understanding binomial classification with an example ---- Understanding multinomial classification with an example - Unsupervised learning ---- Understanding k-means clustering with an example - Using machine learning models in production - Sparkling Water Introduction & Demo
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Planning phase of project
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Dip Narayan Thakur
Extracting value from Big Data is not easy. The field of technologies and vendors is fragmented and rapidly evolving. End-to-end, general purpose solutions that work out of the box don’t exist yet, and Hadoop is no exception. And most companies lack Big Data specialists. The key to unlocking real value lies with thinking smart and hard about the business requirements for a Big Data solution. There is a long list of crucial questions to think about. Is Hadoop really the best solution for all Big Data needs? Should companies run a Hadoop cluster on expensive enterprise-grade storage, or use cheap commodity servers? Should the chosen infrastructure be bare metal or virtualized? The picture becomes even more confusing at the analysis and visualization layer. The answer to Big Data ROI lies somewhere between the herd and nerd mentality. Thinking hard and being smart about each use case as early as possible avoids costly mistakes in choosing hardware and software. This talk will illustrate how Deutsche Telekom follows this segmentation approach to make sure every individual use case drives architecture design and the selection of technologies and vendors.
Deutsche Telekom on Big Data
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Concrétiser les promesses du Big Data avec Hadoop, le Self-Service, les data lakes et le machine learning. Quels cas d'usage, quels retours d'expérience, quelle plate-forme?
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Jean-Michel Franco
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Introduction to Apache Sqoop
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Avkash Chauhan
4th International Convention on Project ManagementOnTarget 2010 PMI Pune Chapter “Collaboration and Communication” Critical Success Factors for Projects in the Flat World Challenges of Project Management “Communication & Collaboration
Challenges of Project Management “Communication & Collaboration-VSR
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VSR *
This Big Data case study outlines the Hadoop infrastructure deployment for a Fortune 100 media and telecommunications company. Hadoop adoption in this company had grown organically across multiple different teams, starting with “science projects” and lab initiatives that quickly grew and expanded. Going forward, some of the options they considered for their Big Data deployment included expanding their on-premises infrastructure and using a Hadoop-as-a-Service cloud offering. Fortunately, they realized that there is a third option: providing the benefits of Hadoop-as-a-Service with on-premises infrastructure. They selected the BlueData EPIC software platform to virtualize their Hadoop infrastructure and provide on-demand access to virtual Hadoop clusters in a secure, multi-tenant model. Learn more about this case study in the blog post at: http://www.bluedata.com/blog/2015/05/big-data-case-study-hadoop-infrastructure
Big Data Case Study: Fortune 100 Telco
Big Data Case Study: Fortune 100 Telco
BlueData, Inc.
PMP Chap 2- Org. Influence and Project Life Cycle
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PMP Chap 2- Org. Influence and Project Life Cycle
Anand Bobade
PMP Training - 12 project procurement management
PMP Training - 12 project procurement management
ejlp12
PMP Chap 3 - Project Management Processes
PMP Chap 3 - Project Management Processes
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In this introduction to Apache Hive the following topics are covered: 1. Hive Origin 2. Hive philosophy and architecture 3. Hive vs. RDBMS 4. HiveQL and Hive Shell 5. Managing tables 6. Data types and schemas 7. Querying data 8. HiveODBC 9. Resources
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8.project cost management
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Deutsche Telekom on Big Data
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Challenges of Project Management “Communication & Collaboration-VSR
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PMP Chap 2- Org. Influence and Project Life Cycle
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PMP Training - 12 project procurement management
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Introduction to Apache Hive
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Plus de Avkash Chauhan
In this presentation we talked about how macnica.ai is preparing to provide AI as solutions to Japanese enterprises and business.
AI Solutions with Macnica.ai - AI Expo 2018 Tokyo Japan
AI Solutions with Macnica.ai - AI Expo 2018 Tokyo Japan
Avkash Chauhan
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AI Expo - AI Revolution in Silicon Valley
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Avkash Chauhan
Nikkei xTech coverage on macnica.ai announcement
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Avkash Chauhan
Presentation slides at Tokyo AI Team Meet-up
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Avkash Chauhan
With the recent advances into neural networks capabilities to process text and audio data we are very close creating a natural human assistant. TensorFlow from Google is one of the most popular neural network library, and using Keras you can simplify TensorFlow usage. TensorFlow brings amazing capabilities into natural language processing (NLP) and using deep learning, we are expecting bots to become even more smarter, closer to human experience. In this technical discussion, we will explore NLP methods in TensorFlow with Keras to create answer bot, ready to answers specific technical questions. You will learn how to use TensorFlow to train an answer bot, with specific technical questions and use various AWS services to deploy answer bot in cloud.
Creating AnswerBot with Keras and TensorFlow (TensorBeat)
Creating AnswerBot with Keras and TensorFlow (TensorBeat)
Avkash Chauhan
Big Data Perspective (Now part of NinjaMSP) is unified Operational Analytics Appliance for Big Data. Perspective360, unified operational analytics appliance for big data supports i.e. Hadoop, HDFS, Cassandra, Kafka, Hive, Pig, HBase, MongoDB, H2O, Docker, MapReduce, Spark, YARN & Flink. It is designed to have non-invasive micro service architecture to collect application & system data from Hadoop. It has anomaly detection for systems (CPU, memory, disk) data with auto encoder deep learning using H2O library and UI is equipped with floating widget & dynamic dashboard engine with interactive graphs using D3/DC & slicing-dicing data management.
Big Data Perspective UI V2
Big Data Perspective UI V2
Avkash Chauhan
Big Data Perspective (Now part of NinjaMSP) is unified Operational Analytics Appliance for Big Data. Perspective360, unified operational analytics appliance for big data supports i.e. Hadoop, HDFS, Cassandra, Kafka, Hive, Pig, HBase, MongoDB, H2O, Docker, MapReduce, Spark, YARN & Flink. It is designed to have non-invasive micro service architecture to collect application & system data from Hadoop. It has anomaly detection for systems (CPU, memory, disk) data with auto encoder deep learning using H2O library and UI is equipped with floating widget & dynamic dashboard engine with interactive graphs using D3/DC & slicing-dicing data management.
Big Data Perspective (UI)
Big Data Perspective (UI)
Avkash Chauhan
Big Data Perspective (Now part of NinjaMSP) is unified Operational Analytics Appliance for Big Data. Perspective360, unified operational analytics appliance for big data supports i.e. Hadoop, HDFS, Cassandra, Kafka, Hive, Pig, HBase, MongoDB, H2O, Docker, MapReduce, Spark, YARN & Flink. It is designed to have non-invasive micro service architecture to collect application & system data from Hadoop. It has anomaly detection for systems (CPU, memory, disk) data with auto encoder deep learning using H2O library and UI is equipped with floating widget & dynamic dashboard engine with interactive graphs using D3/DC & slicing-dicing data management.
Big Data Perspective (Company Information)
Big Data Perspective (Company Information)
Avkash Chauhan
Data 360 Conference: Introduction to Big Data, Hadoop and Big Data Analytics
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What are drone anti-jamming systems? The drone anti-jamming systems and anti-spoof technology protect against interference, jamming, and spoofing of the UAVs. To protect their security, countries are beginning to research drone anti-jamming systems, also known as drone strike weapons. The anti-jam and anti-spoof technology protects against interference, jamming and spoofing. A drone strike weapon is a drone attack weapon that can attack and destroy enemy drones. So what is so unique about this amazing system?
What Are The Drone Anti-jamming Systems Technology?
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This project focuses on implementing real-time object detection using Raspberry Pi and OpenCV. Real-time object detection is a critical aspect of computer vision applications, allowing systems to identify and locate objects within a live video stream instantly.
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With real-time traffic, hazard alerts, and voice instructions, among others, launching an intuitive taxi app in Brazil is your golden ticket to entrepreneurial success. For more info visit our website : https://www.v3cube.com/uber-clone-portuguese-brazil/
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Slides from the presentation on Machine Learning for the Arts & Humanities seminar at the University of Bologna (Digital Humanities and Digital Knowledge program)
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Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
The Digital Insurer
The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
Joaquim Jorge
I've been in the field of "Cyber Security" in its many incarnations for about 25 years. In that time I've learned some lessons, some the hard way. Here are my slides presented at BSides New Orleans in April 2024.
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Rafal Los
Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
Enterprise Knowledge
Presented by Sergio Licea and John Hendershot
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
ThousandEyes
Tech Trends Report 2024 Future Today Institute
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
hans926745
These are the slides delivered in a workshop at Data Innovation Summit Stockholm April 2024, by Kristof Neys and Jonas El Reweny.
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Neo4j
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
The Digital Insurer
Details
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
vu2urc
Read about the journey the Adobe Experience Manager team has gone through in order to become and scale API-first throughout the organisation.
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
Radu Cotescu
My presentation at the Lehigh Carbon Community College (LCCC) NSA GenCyber Cyber Security Day event that is intended to foster an interest in the cyber security field amongst college students.
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
Michael W. Hawkins
In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Drew Madelung
What is a good lead in your organisation? Which leads are priority? What happens to leads? When sales and marketing give different answers to these questions, or perhaps aren't sure of the answers at all, frustrations build and opportunities are left on the table. Join us for an illuminating session with Cian McLoughlin, HubSpot Principal Customer Success Manager, as we look at that crucial piece of the customer journey in which leads are transferred from marketing to sales.
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
HampshireHUG
Digital Global Overview Report 2024 Slides presentation for Event presented in 2024 after compilation of data around last year.
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
hans926745
writing some innovation for development and search
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
sudhanshuwaghmare1
Dernier
(20)
What Are The Drone Anti-jamming Systems Technology?
What Are The Drone Anti-jamming Systems Technology?
Real Time Object Detection Using Open CV
Real Time Object Detection Using Open CV
Developing An App To Navigate The Roads of Brazil
Developing An App To Navigate The Roads of Brazil
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Tata AIG General Insurance Company - Insurer Innovation Award 2024
Artificial Intelligence: Facts and Myths
Artificial Intelligence: Facts and Myths
The 7 Things I Know About Cyber Security After 25 Years | April 2024
The 7 Things I Know About Cyber Security After 25 Years | April 2024
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
How to Troubleshoot Apps for the Modern Connected Worker
How to Troubleshoot Apps for the Modern Connected Worker
Tech Trends Report 2024 Future Today Institute.pdf
Tech Trends Report 2024 Future Today Institute.pdf
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
Scaling API-first – The story of a global engineering organization
Scaling API-first – The story of a global engineering organization
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
Introduction to Business Intelligence in Big Data World
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avkash@bigdataperspective.com
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EDW OLAP ODS
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