This document discusses various topics related to cloud technologies. It begins with innovations enabled by cloud computing, such as artificial intelligence, smart cities, driverless cars, and the internet of things. It then defines cloud computing and describes its key characteristics, service models (infrastructure as a service, platform as a service, software as a service), and deployment models (public, private, hybrid). The document outlines advantages and disadvantages of cloud computing, as well as trends like edge computing and opportunities for careers as cloud architects. It also touches on cloud forensics, statistics, and some interesting facts about cloud data storage and usage.
Emerging Trends in Hybrid-Cloud & Multi-Cloud StrategiesChaitanya Atreya
As Cloud Computing rapidly evolves, newer deployment strategies such as Hybrid-Cloud, Multi-Cloud and On-Prem Cloud are emerging. More and more enterprise solution providers are offering support for a combination of these deployment targets. It is imperative that the larger organizations have a clear Hybrid-Cloud and Multi-Cloud strategy to avoid cloud lock-in and to de-risk business decisions.
What do each of these terminologies mean? What is the scope of each and overlap if any? We will discuss the emerging best-practices across these interdisciplinary trends, especially in the context of Modern Data and Analytics Platforms and Enterprise Self-Service.
The presentation describes reasons for selecting multi-cloud operation approach and provides an overview of implementation challenges and how they can be addressed
IBM Cloud Pak for Data is a single unified platform which helps to unify and simplify the collection, organization and analysis of data. Enterprises can turn data into insights through an integrated cloud-native architecture. IBM Cloud Pak for Data is extensible, easily customized to unique client data and AI landscapes through an integrated catalog of IBM, open source and third-party microservices add-ons
Emerging Trends in Hybrid-Cloud & Multi-Cloud StrategiesChaitanya Atreya
As Cloud Computing rapidly evolves, newer deployment strategies such as Hybrid-Cloud, Multi-Cloud and On-Prem Cloud are emerging. More and more enterprise solution providers are offering support for a combination of these deployment targets. It is imperative that the larger organizations have a clear Hybrid-Cloud and Multi-Cloud strategy to avoid cloud lock-in and to de-risk business decisions.
What do each of these terminologies mean? What is the scope of each and overlap if any? We will discuss the emerging best-practices across these interdisciplinary trends, especially in the context of Modern Data and Analytics Platforms and Enterprise Self-Service.
The presentation describes reasons for selecting multi-cloud operation approach and provides an overview of implementation challenges and how they can be addressed
IBM Cloud Pak for Data is a single unified platform which helps to unify and simplify the collection, organization and analysis of data. Enterprises can turn data into insights through an integrated cloud-native architecture. IBM Cloud Pak for Data is extensible, easily customized to unique client data and AI landscapes through an integrated catalog of IBM, open source and third-party microservices add-ons
101 topic, providing basic overview of types of clouds(public, private or hybrid ), Cloud service models, SaaS, PaaS and IaaS etc.
I also introduce cloud bursting, balancing and the Cloud management platforms
The idea is to help people raise with more questions and start digging deeper into relevant subjects.
This presentation talks through cloud computing, including the advantages and disadvantages for small businesses. It's a little annimation heavy, so view it in presentation mode only.
Hybrid cloud is a cloud computing environment that uses a mix of on-premises, private cloud and third-party, public cloud services with orchestration between the two platforms. By allowing workloads to move between private and public clouds as computing needs and costs change, hybrid cloud gives businesses greater flexibility and more data deployment options.
Overview of Cloud Computing, Infrastructure as a Service, Platform as a Service, Software as a Service.
Cloud computing means transferring ICT resources (servers, hosts, applications, databases, platforms etc.) to a cloud service provider (CSP) with the goal of reducing capital expenditures (CapEx).
Cloud computing differs from legacy hosting services in that CSPs offer standardized services on a massive scale which results in economy-of-scale effects thus further reducing operating expenses (OpEx).
Different cloud models such as public, private and hybrid clouds address different customer needs.
The 3 categories for the functional level of cloud services are IaaS (Infrastructure as a Service),
PaaS (Platform as a Service) and SaaS (Software as a Service). Countless models emerge almost daily such as MaaS (Management as a Service), BaaS (Backend as a Service) and NaaS (Network as a Service).
To accommodate increases in processing power, cloud services offer the possibility to scale-up or scale-out.
Introduction of Cloud Computing & Historical Background
Cloud Service Models & Cloud Deployment Models
Benefits of Cloud Computing
Risks and Challenges
Future Trends in Cloud Computing
Edge Computing, Serverless Computing, AI & Machine Learning in Cloud, Security and
Compliance
Needs and Obstacles for Cloud Deployment
Conclusion
101 topic, providing basic overview of types of clouds(public, private or hybrid ), Cloud service models, SaaS, PaaS and IaaS etc.
I also introduce cloud bursting, balancing and the Cloud management platforms
The idea is to help people raise with more questions and start digging deeper into relevant subjects.
This presentation talks through cloud computing, including the advantages and disadvantages for small businesses. It's a little annimation heavy, so view it in presentation mode only.
Hybrid cloud is a cloud computing environment that uses a mix of on-premises, private cloud and third-party, public cloud services with orchestration between the two platforms. By allowing workloads to move between private and public clouds as computing needs and costs change, hybrid cloud gives businesses greater flexibility and more data deployment options.
Overview of Cloud Computing, Infrastructure as a Service, Platform as a Service, Software as a Service.
Cloud computing means transferring ICT resources (servers, hosts, applications, databases, platforms etc.) to a cloud service provider (CSP) with the goal of reducing capital expenditures (CapEx).
Cloud computing differs from legacy hosting services in that CSPs offer standardized services on a massive scale which results in economy-of-scale effects thus further reducing operating expenses (OpEx).
Different cloud models such as public, private and hybrid clouds address different customer needs.
The 3 categories for the functional level of cloud services are IaaS (Infrastructure as a Service),
PaaS (Platform as a Service) and SaaS (Software as a Service). Countless models emerge almost daily such as MaaS (Management as a Service), BaaS (Backend as a Service) and NaaS (Network as a Service).
To accommodate increases in processing power, cloud services offer the possibility to scale-up or scale-out.
Introduction of Cloud Computing & Historical Background
Cloud Service Models & Cloud Deployment Models
Benefits of Cloud Computing
Risks and Challenges
Future Trends in Cloud Computing
Edge Computing, Serverless Computing, AI & Machine Learning in Cloud, Security and
Compliance
Needs and Obstacles for Cloud Deployment
Conclusion
Maturing IoT solutions with Microsoft Azure (Sam Vanhoutte & Glenn Colpaert a...Codit
“Internet of Things” is changing our world and today the Internet of Things knows almost as many applications as there are types of devices connected. In this session, Sam and Glenn will give an overview of the latest IoT solutions, the different learnings from the field and explain which key components are instrumental to integrating your solutions to the Azure IoT platform to ensure they are robust, future-proof and secure.
Insurtech, Cloud and Cybersecurity - Chartered Insurance InstituteHenrique Centieiro
Nov. 2020 presentation on Insurtech, how cloud is enabling insurtech and cybersecurity for cloud and insurtech.
Prepared by Henrique Centieiro for CII - Chartered Insurance Institute Hong Kong
An Integrated Cloud Computing Architectural Stack Zara Tariq
Cloud computing is the classification of those computing which are built on personal devices to handle applications.
The cloud computing architectural stack aims at facilitating communication about different cloud technologies and services.
Presentation I gave in March 2014 on cloud computing with cloud definition & characteristics, cloud ROI, benefits and costs, lessons learned, examples, and 7 enablers.
On the Cloud? Data Integrity for Insurers in Cloud-Based PlatformsPrecisely
In our undeniably digital world, data is one of the most precious assets in business. This is especially true for the insurance industry, which is why many are leveraging modern cloud-based platforms to improve performance, reduce costs, and capitalize on new opportunities to innovate. While all industries feel the pressure to preserve or enhance the integrity of their data through their cloud migration initiatives, insurers are especially impacted given how crucial data is to their operation. With their high volumes of claims, policies, and premiums, an ineffective approach to data quality and validation, not only slows down cloud migration but leaves organizations open to threats and risk. Although there is no one-size-fits-all solution for implementing and maintaining data integrity for insurance companies, ensuring the potential to extract value from their data is maximized is universal.
If you are thinking of moving into a cloud platform or wondering what is next, join us to learn about:
Integrating data silos and ensuring better securityLeveraging data observability to proactively identify data issues before they impact the businessDelivering quality data attributes that are trusted and fit for purposeEnhancing business data through data enrichment and location intelligence solutions to unlock valuable, hidden context, and reveal critical relationships transforming raw data into actionable insights
The most trusted, proven enterprise-class Cloud:Closer than you think Uni Systems S.M.S.A.
The Big Decision – What, when, and why?
Enterprises are aware that the Cloud is changing IT, but security and performance remain a concern. Each cloud model has potential risks: reliability, adaptability, application compatibility, efficiency, scaling, lock- in, security and compliance. Companies must select an enterprise cloud solution to suit a complex mix of applications; these decisions require great care. Uni Systems’ Uni|Cloud was built to be enterprise class. The essential reason that many businesses today are using Uni Systems Cloud for their enterprise IT, is because it offers the only enterprise-class cloud solution in the Greek market, designed for mission-critical applications, coupled with application performance SLAs and security built for the enterprise, combined with cloud efficiency and consumption-based pricing/chargeback.
EXIN Cloud Computing Foundation is a demanding certification required by many IT organizations all over the world. The Cloud Computing Elementary Professional Certification provides clearly and concisely the basis of cloud computing. It is a technology of providing computational power on tap for IT service and allows IT service providers to concentrate on their chief competence by managing customers without worrying about the difficulties of infrastructure. This certification helps IT professionals who are looking forward to improve their knowledge on cloud computing and willing to attain globally recognized cloud certification.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Essentials of Automations: Optimizing FME Workflows with ParametersSafe Software
Are you looking to streamline your workflows and boost your projects’ efficiency? Do you find yourself searching for ways to add flexibility and control over your FME workflows? If so, you’re in the right place.
Join us for an insightful dive into the world of FME parameters, a critical element in optimizing workflow efficiency. This webinar marks the beginning of our three-part “Essentials of Automation” series. This first webinar is designed to equip you with the knowledge and skills to utilize parameters effectively: enhancing the flexibility, maintainability, and user control of your FME projects.
Here’s what you’ll gain:
- Essentials of FME Parameters: Understand the pivotal role of parameters, including Reader/Writer, Transformer, User, and FME Flow categories. Discover how they are the key to unlocking automation and optimization within your workflows.
- Practical Applications in FME Form: Delve into key user parameter types including choice, connections, and file URLs. Allow users to control how a workflow runs, making your workflows more reusable. Learn to import values and deliver the best user experience for your workflows while enhancing accuracy.
- Optimization Strategies in FME Flow: Explore the creation and strategic deployment of parameters in FME Flow, including the use of deployment and geometry parameters, to maximize workflow efficiency.
- Pro Tips for Success: Gain insights on parameterizing connections and leveraging new features like Conditional Visibility for clarity and simplicity.
We’ll wrap up with a glimpse into future webinars, followed by a Q&A session to address your specific questions surrounding this topic.
Don’t miss this opportunity to elevate your FME expertise and drive your projects to new heights of efficiency.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
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/
Let's dive deeper into the world of ODC! Ricardo Alves (OutSystems) will join us to tell all about the new Data Fabric. After that, Sezen de Bruijn (OutSystems) will get into the details on how to best design a sturdy architecture within ODC.
Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...Jeffrey Haguewood
Sidekick Solutions uses Bonterra Impact Management (fka Social Solutions Apricot) and automation solutions to integrate data for business workflows.
We believe integration and automation are essential to user experience and the promise of efficient work through technology. Automation is the critical ingredient to realizing that full vision. We develop integration products and services for Bonterra Case Management software to support the deployment of automations for a variety of use cases.
This video focuses on the notifications, alerts, and approval requests using Slack for Bonterra Impact Management. The solutions covered in this webinar can also be deployed for Microsoft Teams.
Interested in deploying notification automations for Bonterra Impact Management? Contact us at sales@sidekicksolutionsllc.com to discuss next steps.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
2. Agenda
1. Innovations in Cloud Computing
2. Cloud Computing
3. Future in the Cloud
4. Trending Cloud Technologies
5. Project clues in Cloud
6. Cloud Forensics
7. Cloud statistics
8. Some interesting facts in Cloud
Dr.K.Umamaheswari, Assistant Professor, Dept. of Computer Science, Bharathi Women’s College, Chennai –108.
3. 1. Innovations in Cloud
Computing
• Is it Cloud Computing a boring old norm?
• Emerging technologies would not be
possible without cloud
• Loads of data
• super-fast processing times
• as-needed basis
9. 2. Cloud Computing
According to NIST,
• Cloud computing is a model for enabling
ubiquitous, convenient, on-demand
network access to a shared pool of
configurable computing resources that can
be rapidly provisioned and released with
minimal management effort or service
provider interaction.
11. Cloud service models
Infrastructure as a Service
– Amazon Web Services (AWS)
– Microsoft Azure
– Google Compute Engine (GCE), the IaaS
component of Google Cloud Platform (GCP)
Google Data center street view
Google Data Center
12. Cloud service models
Platform as a Service
– Google App Engine (GAE)
– Red Hat OpenShift
– Microsoft Azure
– AWS Elastic Beanstalk
19. 3. Is your future in the cloud?
• The shortage of qualified professionals in this
domain presents a golden opportunity.
• it is important to stand out with your cloud
experience.
• A way in which to do so would be to gain a
Cloud Engineer or Cloud Architect
accreditation from Microsoft, Amazon or
Google.
20. Cloud Architect
• An IT specialist who has a combined
knowledge of cloud computing and its
roles and utilization in the market.
• According to the Bureau of Labor
Statistics, the demand for cloud architects
is rising exponentially and expected to
open more than twelve thousand positions
each year through 2024.
21. Job Description of
Cloud Architect
• Planning and designing a cloud environment
• Guidance for project development or deployment
• Maintain ownership of the systems
• Delivery of expertise in complete infrastructure
• Acknowledging the relevant systems
• Understanding the functionalities needed by a business
and its competitive advantages
• Selection of right vendors for the business
• Adoption of APIs and standards
• Integration of the components acquired from various
suppliers
22. Key Skills to become
Cloud Architect
• Knowledge of programming languages such as Python,
Ruby and Elixir
• Background in IT engineering
• Strong people skills
• Excellent leadership skills
• Excellent written and verbal communication
• Ability to design and implement cloud infrastructure
23. How to become a cloud
architect?
1. Get your degree
2. Get on-the-job experience
3. Get certified
24. 4. Trending Cloud Technologies
• Edge
• Serverless
• SASE (Secure Access Service Edge)
• Cloud Migration and Data Privacy
• Automated Cloud Orchestration
• Multicloud
25. 5. Project clues in Cloud
1. Smart Traffic Management (STM)
2. Chatbots
3. Bug Tracker
4. Detecting Data Leaks Using SQL
5. Android Offloading
6. Text CAT. (Categorization)
7. Encrypted Cloud Storage
26. 6. Cloud Forensics
• A cross-discipline between cloud
computing and digital forensics.
• Digital forensics is the application of
science to the identification, collection,
examination, and analysis of data while
preserving the integrity of the information
and maintaining a strict chain of custody
for the data. (Kent et al.,2006)
33. 8. Some interesting facts in
Cloud
• By 2025, there will be over 100 zettabytes
of data stored in the cloud
• Cloud data centers will process 94 percent
of all workloads in 2021.
• AWS currently holds 31 percent of the
market, followed by Microsoft Azure at 20
percent and Google Cloud at seven
percent.
34. Some interesting facts in Cloud
• The appropriately named Citadel is the
largest data center ever constructed, and
is located in Tahoe Reno, Nevada.
• With an overwhelming 94.44
percent, Google Drive is by far the most
used cloud storage service in the world.
• The Video Streaming and Cloud Gaming
Market Continues to Grow
