Global Pulse App Connection Manager design 2010

•Descargar como PPTX, PDF•

0 recomendaciones•290 vistas

Sara-Jayne Terp

December 2010 slides on Global Pulse app connection manager. File copied from an old Slideshare account.

Tecnología

Global Pulse App Connection
Manager
@bodaceacat

The idea
Real-
time
feed
Data
store
Data
adapter
Application
Data
store
graphics
Real-
time
feed
Data
adapter

Más contenido relacionado

La actualidad más candente

The presentation has many use cases covering the following Image classification: "The process of identifying and detecting an object or a feature in a digital image or video," the report states. In retail, deep learning models "quickly scan and analyze in-store imagery to intuitively determine inventory movement." Voice recognition: "The ability to receive and interpret dictation or to understand and carry out spoken commands. Models are able to convert captured voice commands to text and then use natural language processing to understand what is being said and in what context." In transportation, deep learning "uses voice commands to enable drivers to make phone calls and adjust internal controls - all without taking their hands off the steering wheel." Anomaly detection: "Deep learning technique strives to recognize abnormal patterns which don't match the behaviors expected for a particular system, out of millions of different transactions. These applications can lead to the discovery of an attack on financial networks, fraud detection in insurance filings or credit card purchases, even isolating sensor data in industrial facilities signifying a safety issue." Recommendation engines: "Analyze user actions in order to provide recommendations based on user behavior." Sentiment analysis: "Leverages deep learning-heavy techniques such as natural language processing, text analysis, and computational linguistics to gain clear insight into customer opinion, understanding of consumer sentiment, and measuring the impact of marketing strategies." Video analysis: "Process and evaluate vast streams of video footage for a range of tasks including threat detection, which can be used in airport security, banks, and sporting events."

Deep Learning Image Processing Applications in the Enterprise

Ganesan Narayanasamy

Airbyte - Series-A deck

Airbyte

Modern Data Platform Part 1: Data Ingestion

Nilesh Shah

Commercializing Alternative Data

Databricks

See how containers and Google Cloud Platform make it easier to build, run and maintain distributed systems, by building on the same core container technologies that power all of Google. Get a tour of Kubernetes, the new open source container cluster management implementation that turns these concepts into reality. Come learn how containers and Google Cloud Platform make the technology and application architectures that power Google available to all developers across the world.

Containerizing the Cloud with Kubernetes and Docker

James Chittenden

IoT Analytics at Google Scale with James Chittenden: Using PubSub Dataflow, and BigQuery to Capture Millions of Connected Devices There is the potential for 50 billion connected devices by 2020. Google Cloud Platform gives you the tools to scale connections, gather and make sense of data, and provide the reliable customer experiences that hardware devices require. Google’s Cloud Platform provides the infrastructure to handle streams of data fed from millions of intelligent devices. In this meetup, we'll explore one of the world's largest appliance manufacturer's IoT architecture along with Google's partner Archipelago, and will drill into how they are leveraging Google's massive infrastructure in their solution. We'll explore what Google provides for IoT, including Pub/Sub for messaging, Dataflow for data processing, BigQuery for large scale analytics as well as best practices for real time stream processing accounting for ingest, processing, storage and analysis of hundreds of millions of events per hour.

IoT at Google Scale

James Chittenden

Tapjoy: Building a Real-Time Data Science Service for Mobile Advertising

SingleStore

Vulnerabilities such as Spectre and Meltdown continue to plague many production servers, based on Intel CPUs. Our solution involves software-based monitoring of hardware counters and sending that data to Apache Spark clusters for threat detection. We leverage Spark's support for support vector machine (SVM) inference. Our machine learning models are trained off-line by a data scientist within a Jupyter notebook environment. As new models are validated, they can be easily deployed to the Spark cluster from the notebook. We have standardized model export and import using the ONNX machine learning open file format. In our presentation, we will demo the full pipeline, from model training to deployment. We will discuss the various challenges when deploying ML-based cyber-threat detection at scale using Apache Spark. For example, we found that gaps in detection can occur when Spark models are updated. We will describe a novel data ingestion architecture, based on Apache Kafka, that we developed to deal with this issue.

Scaling ML-Based Threat Detection For Production Cyber Attacks

Databricks

Google cloud summit experience in jakarta

Akbar Sahata Sakapertana

RamakantMoka_Resume

Ramakant Moka

Keynote: Harnessing the power of Elasticsearch for simplified search

Elasticsearch

Keynote

Elasticsearch

SnapLogic Live: AWS Integration

SnapLogic

Snaplogic Live: Big Data in Motion

SnapLogic

SnapLogic Live: Powering Cloud Analytics

SnapLogic

Certified Software Developer with a pro-active approach and crucial ability t...

DeepaliTyagi4

Modern IoT operations can drive digital transformation by analyzing the unprecedented amounts of data generated from devices and sensors in real-time. Apache Spark is a widely used stream processing engine for real-time IoT applications. Spark streaming offers a rich set of APIs in the areas of ingestion, cloud integration, multi-source joins, blending streams with static data, time-window aggregations, transformations, data cleansing, and strong support for machine learning and predictive analytics. Join Anand Venugopal, AVP & Business Head, StreamAnalytix and Sameer Bhide, Senior Solutions Architect, StreamAnalytix to learn about the rapid development and operationalization of real-time IoT applications covering an end-to-end flow of ingest, insight, action, and feedback. The webinar will cover the following: Generic IoT application blueprint Case studies on IoT applications built on Apache Spark – connected car and industrial IoT Demonstration of an easy, visual approach to building IoT Spark apps

Streaming Analytics for IoT with Apache Spark

Impetus Technologies

Data Science deals with the extraction of valuable insights from an incredible number of sources in an endless number of formats. This session will go through a typical workflow using practical tools and tricks. This will give you a basic understanding of Data Science in the Cloud. The examples will show the steps that are needed to build and deploy a model to predict traffic collisions with weather data.

IP EXPO Nordic: Data Science in the Cloud

Margriet Groenendijk

Data science powers Netflix. It informs our decisions and challenges our assumptions. It fuels experimentation and innovation at an unprecedented scale. It helps us discover fantastic content and deliver personalized experiences for millions of people around the world. In short, data science has become critical to Netflix, touching nearly every aspect of the business today. In this talk, Michelle Ufford will discuss the philosophies and innovations that have helped Netflix scale its data science practice. She’ll walk through what the process looks like today and how Netflix is tackling some of the biggest challenges facing data scientists. Through it all, she’ll share core principles that have contributed to their success, which you can put to immediate use at your own company.

Data Science at Netflix - Principles for Speed & Scale [Rev 2019 keynote]

Michelle Ufford

Satwik Mishra resume

Satwik Mishra

La actualidad más candente (20)

Deep Learning Image Processing Applications in the Enterprise

Airbyte - Series-A deck

Modern Data Platform Part 1: Data Ingestion

Commercializing Alternative Data

Containerizing the Cloud with Kubernetes and Docker

IoT at Google Scale

Tapjoy: Building a Real-Time Data Science Service for Mobile Advertising

Scaling ML-Based Threat Detection For Production Cyber Attacks

Google cloud summit experience in jakarta

RamakantMoka_Resume

Keynote: Harnessing the power of Elasticsearch for simplified search

Keynote

SnapLogic Live: AWS Integration

Snaplogic Live: Big Data in Motion

SnapLogic Live: Powering Cloud Analytics

Certified Software Developer with a pro-active approach and crucial ability t...

Streaming Analytics for IoT with Apache Spark

IP EXPO Nordic: Data Science in the Cloud

Data Science at Netflix - Principles for Speed & Scale [Rev 2019 keynote]

Satwik Mishra resume

Destacado

Session 07 text data.pptx

Sara-Jayne Terp

Session 09 learning relationships.pptx

Sara-Jayne Terp

Session 10 handling bigger data

Sara-Jayne Terp

UK crisis crowdsourcing

Sara-Jayne Terp

Introduction to Rhok and OpenData Birmingham 2010

Sara-Jayne Terp

Drones can haz dance

Sara-Jayne Terp

Session 04 communicating results

Sara-Jayne Terp

Session 02 python basics

Sara-Jayne Terp

Session 08 geospatial data

Sara-Jayne Terp

Evolution of the Humanitarian Data Ecosystem

Sara-Jayne Terp

risks and mitigations of releasing data

Sara-Jayne Terp

Session 07 text data.pptx

Sara-Jayne Terp

Session 01 designing and scoping a data science project

Sara-Jayne Terp

People Processes Technology talk at UN Pulse Camp 2010

Sara-Jayne Terp

Global Pulse Technology Builds talk at Relief, Camp Roberts, 2011

Sara-Jayne Terp

Session 03 acquiring data

Sara-Jayne Terp

Network analysis lecture

Sara-Jayne Terp

Destacado (17)

Session 07 text data.pptx

Session 09 learning relationships.pptx

Session 10 handling bigger data

UK crisis crowdsourcing

Introduction to Rhok and OpenData Birmingham 2010

Drones can haz dance

Session 04 communicating results

Session 02 python basics

Session 08 geospatial data

Evolution of the Humanitarian Data Ecosystem

risks and mitigations of releasing data

Session 07 text data.pptx

Session 01 designing and scoping a data science project

People Processes Technology talk at UN Pulse Camp 2010

Global Pulse Technology Builds talk at Relief, Camp Roberts, 2011

Session 03 acquiring data

Network analysis lecture

Más de Sara-Jayne Terp

Distributed defense against disinformation: disinformation risk management an...

Sara-Jayne Terp

Risk, SOCs, and mitigations: cognitive security is coming of age

Sara-Jayne Terp

disinformation risk management: leveraging cyber security best practices to s...

Sara-Jayne Terp

Cognitive security: all the other things

Sara-Jayne Terp

The Business(es) of Disinformation

Sara-Jayne Terp

2021-05-SJTerp-AMITT_disinfoSoc-umaryland

Sara-Jayne Terp

2021 IWC presentation: Risk, SOCs and Mitigations: Cognitive Security is Comi...

Sara-Jayne Terp

2021-02-10_CogSecCollab_UBerkeley

Sara-Jayne Terp

Using AMITT and ATT&CK frameworks

Sara-Jayne Terp

2020 12 nyu-workshop_cog_sec

Sara-Jayne Terp

2020 09-01 disclosure

Sara-Jayne Terp

2019 11 terp_mansonbulletproof_master copy

Sara-Jayne Terp

BSidesLV 2018 talk: social engineering at scale, a community guide

Sara-Jayne Terp

Social engineering at scale

Sara-Jayne Terp

engineering misinformation

Sara-Jayne Terp

Online misinformation: they're coming for our brainz now

Sara-Jayne Terp

Sj terp ciwg_nyc2017_credibility_belief

Sara-Jayne Terp

Belief: learning about new problems from old things

Sara-Jayne Terp

Session 06 machine learning.pptx

Sara-Jayne Terp

Session 05 cleaning and exploring

Sara-Jayne Terp

Más de Sara-Jayne Terp (20)

Distributed defense against disinformation: disinformation risk management an...

Risk, SOCs, and mitigations: cognitive security is coming of age

disinformation risk management: leveraging cyber security best practices to s...

Cognitive security: all the other things

The Business(es) of Disinformation

2021-05-SJTerp-AMITT_disinfoSoc-umaryland

2021 IWC presentation: Risk, SOCs and Mitigations: Cognitive Security is Comi...

2021-02-10_CogSecCollab_UBerkeley

Using AMITT and ATT&CK frameworks

2020 12 nyu-workshop_cog_sec

2020 09-01 disclosure

2019 11 terp_mansonbulletproof_master copy

BSidesLV 2018 talk: social engineering at scale, a community guide

Social engineering at scale

engineering misinformation

Online misinformation: they're coming for our brainz now

Sj terp ciwg_nyc2017_credibility_belief

Belief: learning about new problems from old things

Session 06 machine learning.pptx

Session 05 cleaning and exploring

Último

Passkeys: Developing APIs to enable passwordless authentication Cody Salas, Sr Developer Advocate | Solutions Architect - Yubico Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - Passkeys: Developing APIs to enable passwordless auth...

apidays

Whatsapp Number Escorts Call girls 8617370543 Available 24x7 Mcleodganj Call Girls Service Offer Genuine VIP Model Escorts Call Girls in Your Budget. Mcleodganj Call Girls Service Provide Real Call Girls Number. Make Your Sexual Pleasure Memorable with Our Mcleodganj Call Girls at Affordable Price. Top VIP Escorts Call Girls, High Profile Independent Escorts Call Girls, Housewife Women Escorts Call Girl, College Girls Escorts Call Girls, Russian Escorts Call girls Service in Your Budget.

Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model

Deepika Singh

Understanding the FAA Part 107 License ..

Christopher Logan Kennedy

MS Copilot expands with MS Graph connectors

Nanddeep Nachan

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

sammart93

presentation ICT roal in 21st century education

jfdjdjcjdnsjd

Following the popularity of “Cloud Revolution: Exploring the New Wave of Serverless Spatial Data,” we’re thrilled to announce this much-anticipated encore webinar. In this sequel, we’ll dive deeper into the Cloud-Native realm by uncovering practical applications and FME support for these new formats, including COGs, COPC, FlatGeoBuf, GeoParquet, STAC, and ZARR. Building on the foundation laid by industry leaders Michelle Roby of Radiant Earth and Chris Holmes of Planet in the first webinar, this second part offers an in-depth look at the real-world application and behind-the-scenes dynamics of these cutting-edge formats. We will spotlight specific use-cases and workflows, showcasing their efficiency and relevance in practical scenarios. Discover the vast possibilities each format holds, highlighted through detailed discussions and demonstrations. Our expert speakers will dissect the key aspects and provide critical takeaways for effective use, ensuring attendees leave with a thorough understanding of how to apply these formats in their own projects. Elevate your understanding of how FME supports these cutting-edge technologies, enhancing your ability to manage, share, and analyze spatial data. Whether you’re building on knowledge from our initial session or are new to the serverless spatial data landscape, this webinar is your gateway to mastering cloud-native formats in your workflows.

Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME

Safe Software

Effective data discovery is crucial for maintaining compliance and mitigating risks in today's rapidly evolving privacy landscape. However, traditional manual approaches often struggle to keep pace with the growing volume and complexity of data. Join us for an insightful webinar where industry leaders from TrustArc and Privya will share their expertise on leveraging AI-powered solutions to revolutionize data discovery. You'll learn how to: - Effortlessly maintain a comprehensive, up-to-date data inventory - Harness code scanning insights to gain complete visibility into data flows leveraging the advantages of code scanning over DB scanning - Simplify compliance by leveraging Privya's integration with TrustArc - Implement proven strategies to mitigate third-party risks Our panel of experts will discuss real-world case studies and share practical strategies for overcoming common data discovery challenges. They'll also explore the latest trends and innovations in AI-driven data management, and how these technologies can help organizations stay ahead of the curve in an ever-changing privacy landscape.

TrustArc Webinar - Unlock the Power of AI-Driven Data Discovery

TrustArc

EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER

MadyBayot

Retrieval augmented generation (RAG) is the most popular style of large language model application to emerge from 2023. The most basic style of RAG works by vectorizing your data and injecting it into a vector database like Milvus for retrieval to augment the text output generated by an LLM. This is just the beginning. One of the ways that we can extend RAG, and extend AI, is through multilingual use cases. Typical RAG is done in English using embedding models that are trained in English. In this talk, we’ll explore how RAG could work in languages other than English. We’ll explore French, Chinese, and Polish.

Introduction to Multilingual Retrieval Augmented Generation (RAG)

Zilliz

MINDCTI Revenue Release Quarter One 2024

MIND CTI

Boost Fertility New Invention Ups Success Rates.pdf

sudhanshuwaghmare1

Angeliki Cooney has spent over twenty years at the forefront of the life sciences industry, working out of Wynantskill, NY. She is highly regarded for her dedication to advancing the development and accessibility of innovative treatments for chronic diseases, rare disorders, and cancer. Her professional journey has centered on strategic consulting for biopharmaceutical companies, facilitating digital transformation, enhancing omnichannel engagement, and refining strategic commercial practices. Angeliki's innovative contributions include pioneering several software-as-a-service (SaaS) products for the life sciences sector, earning her three patents. As the Senior Vice President of Life Sciences at Avenga, Angeliki orchestrated the firm's strategic entry into the U.S. market. Avenga, a renowned digital engineering and consulting firm, partners with significant entities in the pharmaceutical and biotechnology fields. Her leadership was instrumental in expanding Avenga's client base and establishing its presence in the competitive U.S. market.

Biography Of Angeliki Cooney | Senior Vice President Life Sciences | Albany, ...

Angeliki Cooney

The value of a flexible API Management solution for Open Banking Steve Melan, Manager for IT Innovation and Architecture - State's and Saving's Bank of Luxembourg Apidays New York 2024: The API Economy in the AI Era (April 30 & May 1, 2024) ------ Check out our conferences at https://www.apidays.global/ Do you want to sponsor or talk at one of our conferences? https://apidays.typeform.com/to/ILJeAaV8 Learn more on APIscene, the global media made by the community for the community: https://www.apiscene.io Explore the API ecosystem with the API Landscape: https://apilandscape.apiscene.io/

Apidays New York 2024 - The value of a flexible API Management solution for O...

apidays

[BuildWithAI] Introduction to Gemini.pdf

Sandro Moreira

The microservices honeymoon is over. When starting a new project or revamping a legacy monolith, teams started looking for alternatives to microservices. The Modular Monolith, or 'Modulith', is an architecture that reaps the benefits of (vertical) functional decoupling without the high costs associated with separate deployments. This talk will delve into the advantages and challenges of this progressive architecture, beginning with exploring the concept of a 'module', its internal structure, public API, and inter-module communication patterns. Supported by spring-modulith, the talk provides practical guidance on addressing the main challenges of a Modultith Architecture: finding and guarding module boundaries, data decoupling, and integration module-testing. You should not miss this talk if you are a software architect or tech lead seeking practical, scalable solutions. About the author With two decades of experience, Victor is a Java Champion working as a trainer for top companies in Europe. Five thousands developers in 120 companies attended his workshops, so he gets to debate every week the challenges that various projects struggle with. In return, Victor summarizes key points from these workshops in conference talks and online meetups for the European Software Crafters, the world’s largest developer community around architecture, refactoring, and testing. Discover how Victor can help you on victorrentea.ro : company training catalog, consultancy and YouTube playlists.

Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024

Victor Rentea

FWD Group - Insurer Innovation Award 2024

The Digital Insurer

"I see eyes in my soup": How Delivery Hero implemented the safety system for ...

Zilliz

ICT role in 21st century education and its challenges

rafiqahmad00786416

Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood

Juan lago vázquez