Abstract: Data preparation and modelling are the activities that take most of the time in a typical data scientist workday. In this session we’ll see how AWS services for Analytics and data management can be effectively used and integrated in AI/ML pipelines. We’ll focus on AWS Glue, AWS Glue DataBrew and AWS Data Wrangler with a bit of theory and hands-on demos.
Bio:
Francesco Marelli is a senior solutions architect at Amazon Web Services. He has lived and worked in UK, italy, Switzerland and other countries in EMEA. He is specialized in the design and implementation of Analytics, Data Management and Big Data systems. Francesco also has a strong experience in systems integration and design and implementation of applications.
Topics: machine learning pipelines, AWS, cloud.
Data & Analytics ReInvent Recap [AWS Basel Meetup - Jan 2023].pdfChris Bingham
After recapping the key data & analytics announcements from AWS re:Invent 2022, we look a little deeper at three key new services:
• AWS DataZone
• AWS Omics
• AWS Clean Rooms
And follow up with a demo of using AWS IoT ExpressLink hardware in conjunction with AWS IoT Core, Lambda, and Amplify to build a Gatsby web app that interacts with the AWS IoT ExpressLink demo badge via a device shadow.
Build real-time streaming data pipelines to AWS with Confluentconfluent
Traditional data pipelines often face scalability issues and challenges related to cost, their monolithic design, and reliance on batch data processing. They also typically operate under the premise that all data needs to be stored in a single centralized data source before it's put to practical use. Confluent Cloud on Amazon Web Services (AWS) provides a fully managed cloud-native platform that helps you simplify the way you build real-time data flows using streaming data pipelines and Apache Kafka.
NEW LAUNCH! Introducing AWS IoT Analytics - IOT214 - re:Invent 2017Amazon Web Services
Introducing AWS IoT Analytics, the new managed service that lets customers structure, preprocess, store, analyze, and visualize connected device data. The service team will walk through the service’s features and introduce two customer use cases from the private beta.
Transforming Enterprise IT - Virtual Transformation Day Feb 2019Amazon Web Services
Speaker: Wesley Wilks, Dan Gallivan
As more and more enterprises start down the path of their digital transformation, the pressure on their IT organizations to support innovation across the business couldn’t be higher. In this session, we will outline a number of cutting-edge technologies as well as an operating model that will allow IT to position itself as a business enabler and not a blocker. We will be sharing some mechanisms that will enable the IT organization to meet the pace of innovation that is being set by the business while giving them the flexibility to leverage existing assets.
AWS Transformation Day is designed for enterprise organizations looking to make the move to the cloud in order to become more responsive, agile and innovative, while still staying secure and compliant. Join us for this virtual event and we'll share our experiences of helping enterprise customers accelerate the pace of migration and adoption of strategic services.
We recommend this event for IT and business leaders who are looking to create sustainable benefits and a competitive advantage by using the AWS Cloud.
How to Architect a Serverless Cloud Data Lake for Enhanced Data AnalyticsInformatica
This presentation is geared toward enterprise architects and senior IT leaders looking to drive more value from their data by learning about cloud data lake management.
As businesses focus on leveraging big data to drive digital transformation, technology leaders are struggling to keep pace with the high volume of data coming in at high speed and rapidly evolving technologies. What's needed is an approach that helps you turn petabytes into profit.
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Please leave any questions or comments below.
Abstract: Data preparation and modelling are the activities that take most of the time in a typical data scientist workday. In this session we’ll see how AWS services for Analytics and data management can be effectively used and integrated in AI/ML pipelines. We’ll focus on AWS Glue, AWS Glue DataBrew and AWS Data Wrangler with a bit of theory and hands-on demos.
Bio:
Francesco Marelli is a senior solutions architect at Amazon Web Services. He has lived and worked in UK, italy, Switzerland and other countries in EMEA. He is specialized in the design and implementation of Analytics, Data Management and Big Data systems. Francesco also has a strong experience in systems integration and design and implementation of applications.
Topics: machine learning pipelines, AWS, cloud.
Data & Analytics ReInvent Recap [AWS Basel Meetup - Jan 2023].pdfChris Bingham
After recapping the key data & analytics announcements from AWS re:Invent 2022, we look a little deeper at three key new services:
• AWS DataZone
• AWS Omics
• AWS Clean Rooms
And follow up with a demo of using AWS IoT ExpressLink hardware in conjunction with AWS IoT Core, Lambda, and Amplify to build a Gatsby web app that interacts with the AWS IoT ExpressLink demo badge via a device shadow.
Build real-time streaming data pipelines to AWS with Confluentconfluent
Traditional data pipelines often face scalability issues and challenges related to cost, their monolithic design, and reliance on batch data processing. They also typically operate under the premise that all data needs to be stored in a single centralized data source before it's put to practical use. Confluent Cloud on Amazon Web Services (AWS) provides a fully managed cloud-native platform that helps you simplify the way you build real-time data flows using streaming data pipelines and Apache Kafka.
NEW LAUNCH! Introducing AWS IoT Analytics - IOT214 - re:Invent 2017Amazon Web Services
Introducing AWS IoT Analytics, the new managed service that lets customers structure, preprocess, store, analyze, and visualize connected device data. The service team will walk through the service’s features and introduce two customer use cases from the private beta.
Transforming Enterprise IT - Virtual Transformation Day Feb 2019Amazon Web Services
Speaker: Wesley Wilks, Dan Gallivan
As more and more enterprises start down the path of their digital transformation, the pressure on their IT organizations to support innovation across the business couldn’t be higher. In this session, we will outline a number of cutting-edge technologies as well as an operating model that will allow IT to position itself as a business enabler and not a blocker. We will be sharing some mechanisms that will enable the IT organization to meet the pace of innovation that is being set by the business while giving them the flexibility to leverage existing assets.
AWS Transformation Day is designed for enterprise organizations looking to make the move to the cloud in order to become more responsive, agile and innovative, while still staying secure and compliant. Join us for this virtual event and we'll share our experiences of helping enterprise customers accelerate the pace of migration and adoption of strategic services.
We recommend this event for IT and business leaders who are looking to create sustainable benefits and a competitive advantage by using the AWS Cloud.
How to Architect a Serverless Cloud Data Lake for Enhanced Data AnalyticsInformatica
This presentation is geared toward enterprise architects and senior IT leaders looking to drive more value from their data by learning about cloud data lake management.
As businesses focus on leveraging big data to drive digital transformation, technology leaders are struggling to keep pace with the high volume of data coming in at high speed and rapidly evolving technologies. What's needed is an approach that helps you turn petabytes into profit.
Cloud data lakes and cloud data warehouses have emerged as a popular architectural pattern to support next-generation analytics. Informatica's comprehensive AI-driven cloud data lake management solution natively ingests, streams, integrates, cleanses, governs, protects and processes big data workloads in multi-cloud environments.
Please leave any questions or comments below.
EUT303_Modernizing the Energy and Utilities Industry with IoT Moving SCADA to...Amazon Web Services
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As energy and utility companies expand geographically, and the number and types of sensors in each location grow, disparate and growing data streams are becoming increasingly complex and challenging to manage. It is estimated that up to 95% of valuable device and sensor information is left stranded in the field, information that could prove valuable to machine learning, predictive analytics, and process optimization.
In this session, energy and utility customers will learn how easy it is to implement IIoT on AWS, so they can easily extract value from additional devices and sensors, and innovate faster. We will dive into a reference architecture for accessing current mission critical SCADA data as well as previously stranded data into AWS using Kinesis and DynamoDB, ultimately enabling customers to reduce downtime, increase efficiencies, improve reliability, and gain more business insights through connected data.
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Vent'anni fa Amazon ha attraversato una trasformazione radicale con l'obiettivo di aumentare il ritmo dell'innovazione. In questo periodo abbiamo imparato come cambiare il nostro approccio allo sviluppo delle applicazioni ci ha permesso di aumentare notevolmente l'agilità, la velocità di rilascio e, in definitiva, ci ha consentito di creare applicazioni più affidabili e scalabili. In questa sessione illustreremo come definiamo le applicazioni moderne e come la creazione di app moderne influisce non solo sull'architettura dell'applicazione, ma sulla struttura organizzativa, sulle pipeline di rilascio dello sviluppo e persino sul modello operativo. Descriveremo anche approcci comuni alla modernizzazione, compreso l'approccio utilizzato dalla stessa Amazon.com.
Transforming Enterprise IT - Transformation Day Montreal 2018Amazon Web Services
AWS Transformation Day is designed for enterprise organizations looking to make the move to the cloud in order to become more responsive, agile and innovative, while still staying secure and compliant.
Best Practices for Cloud Migrations with Zero Disruption with AWS MarketplaceDenodo
Watch full webinar here: https://bit.ly/3GBajEt
Moving enterprise data to the Cloud, whether entirely or partially, is a priority for almost all organizations. The journey to the Cloud can be smooth and indeed will be accelerated when conforming to a clear and well-considered set of best practices that we have laid out. The advantage of following migration best practices are that downtimes and disruptions are virtually eliminated or, in the worst case, significantly minimized. Downtimes and disruptions cause significant damage in the form of lower customer responsiveness as well as expensive resource outlays.
In this session by Vaishali Ghiya, Head of Marketplace, Networking, Security, Data & Analytics, AI & ML, Storage at AWS, we will discuss what these best practices exactly are. We will also focus on how cloud migrations can be made seamless by the presence of a logical data fabric to securely connect all systems across on-premises and the cloud while giving business users easy access to all underlying data. You will learn how AWS and Denodo come together to help enterprises migrate their diverse workloads to the cloud without disruption or downtime.
Realize Value of Your Microsoft Investments - Transformation Day Montreal 2018Amazon Web Services
AWS Transformation Day is designed for enterprise organizations looking to make the move to the cloud in order to become more responsive, agile and innovative, while still staying secure and compliant.
Operation Monitoring and Alerting at Scale in GE Transportation - ENT340 - re...Amazon Web Services
As GE Transportation moved their applications to the cloud, they faced operational challenges with monitoring their applications and platforms for availability, performance, and compliance. To address their exact requirements, GE developed a cost effective, scalable monitoring and alerting solution based on fully-managed AWS services. In this session, GE Transportation reviews this capability and discusses its process for implementing the solution. Attendees also learn reusable design patterns using AWS managed services that can be applied in a self-service model to scale efficiently across the enterprise.
AWS reInvent 2023 recaps from Chicago AWS user groupAWS Chicago
Chicago AWS Solutions Architect Scott Hewitt recaps the non-GenAI updates from AWS re:Invent 2023. Updates range from storage, networking, compute and developer tools.
Machine learning in the physical world by Kip Larson from AWS IoTBill Liu
Presented at AI NEXTCon Seattle 1/17-20, 2018
http://aisea18.xnextcon.com
join our free online AI group with 50,000+ tech engineers to learn and practice AI technology, including: latest AI news, tech articles/blogs, tech talks, tutorial videos, and hands-on workshop/codelabs, on machine learning, deep learning, data science, etc..
AWS IoT is a managed cloud platform that lets connected devices easily and securely interact with cloud applications and other devices and with AWS Greengrass you can extends AWS IoT Core onto your devices at the edge, so they can act locally on the data they generate. In this session we discuss the challenges of running IoT devices and how we solve them with AWS IoT that let you build powerful IoT and edge compute applications. In this tech talk, we will discuss how constrained devices can leverage AWS IoT and use AWS IoT Button to demonstrate building a real connected product, securely connect with AWS IoT.
Accelerate your journey to AI: IBM Cloud Pak for Data on AWS - DEM18-S - New ...Amazon Web Services
Join us as we discuss IBM’s data & AI platform, IBM Cloud Pak for Data, led by our recently announced Quick Start for AWS customers. IBM Cloud Pak for Data enables customers to collect, organize, and analyze all types of data inside a cloud-native data and AI architecture that natively supports AWS. Learn about IBM’s other solutions that run on AWS, such as Db2 Warehouse on Cloud. Leave this talk with an understanding of how IBM can help you get started on your journey to AI. This presentation is brought to you by AWS partner, IBM.
Data warehouses (DWs) are central repositories of integrated data from one or more disparate sources, used for reporting, data analysis, and business intelligence. In this session, dive deep into concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift, the petabyte-scale data warehouse in AWS.
Additionally, we will review patterns in hybrid environments for collecting, storing, and preparing data for DWs using Amazon DynamoDB, AWS Database Migration Service (AWS DMS), Amazon Kinesis Data Firehose, and Amazon Simple Storage Service (Amazon S3). Learn how our customers have successfully migrated from on-premises DW to Amazon Redshift to achieve their goals by implementing parallel query execution, key performance adjustments, and more.
Implementing a Data Warehouse on AWS in a Hybrid EnvironmentAmazon Web Services
Data warehouses (DWs) are central repositories of integrated data from one or more disparate sources, used for reporting, data analysis, and business intelligence. In this session, we dive deep into concepts, strategies, and best practices for designing a cloud-based data warehousing solution using Amazon Redshift - the petabyte-scale data warehouse in AWS. Additionally, we review patterns in hybrid environments for collecting, storing, and preparing data for DWs using Amazon DynamoDB, AWS Database Migration Service, Amazon Kinesis Data Firehose, and Amazon Simple Storage Service (Amazon S3). Learn how Fannie Mae successfully migrated from its on-premises DW to Amazon Redshift and achieved its goals by implementing parallel query execution, key performance adjustments, and more.
In this webinar, payment platform Cardknox will guide you through the steps they took to migrate their mission-critical applications to AWS. You’ll learn how they built a PCI compliant AWS environment with Logicworks, an AWS Premier Consulting Partner that specializes in secure, complaint AWS services.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
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