UK G-Cloud: The First Instantiation of True Cloud?

•

0 likes•423 views

The UK G-Cloud aims to be the first true instance of cloud computing by creating a central market (App Store) for standardized IT services from multiple providers. It allows public sector organizations to access resources and workloads from various providers and pay based on usage. While not a true cloud by NIST's definition requiring interoperability of utilities, the G-Cloud defines a "Private Cloud" as infrastructure dedicated to the government using amalgamated computing utilities.

Technology Business

UK G-Cloud: The first instantiation of true Cloud? A review of NIST's definition of Cloud, an attempt to differentiate Cloud from Utility, and a brief look at the UK gov G-Cloud & App Store. MD, Memset Dedicated Hosting Main Board Member, Intellect UK Officer, BCS Data Centre Specialist Group Technical Architecture Co-lead, G-Cloud Project

Cloud != Utility Cloud = Grid + (Utility * N) ,[object Object],[object Object],[object Object],[object Object]

UK G-Cloud: The first true instance of Cloud Computing? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

NIST’s Private Cloud is an oxymoron ,[object Object],[object Object],[object Object],[object Object]

Thanks! ,[object Object],[object Object],[object Object]

The past few months saw some of the most important outputs of the project both for the supplier and user community of OCRE. In this general update webinar, the project will provide an update on some of the key developments in the project including the conclusion of the OCRE IaaS+ Tender and the signing of more than 400 framework agreements, the presentation of the OCRE Cloud Catalogue of commercial cloud services for the European research community, the validation test suite for suppliers, research projects selected to receive adoption funding support. as well as some of the work in progress for Earth Observation digital services procurement.

Creating a value chain with IoT

Alexander Alten

Ict01 g113 cloud-computing_castillo

Carlo Castillo

Cloud computingPattaradanai Chitprasopnet

Elastic stack and cloud native architecture

Hisham El-breky

Introduction to Cloud Computing

United International University

International Journal on Cloud Computing: Services and Architecture (IJCCSA)

ijccsa

Cloud computing helps enterprises transform business and technology. Companies have begun to look for solutions that would help reduce their infrastructures costs and improve profitability. Cloud computing is becoming a foundation for benefits well beyond IT cost savings. Yet, many business leaders are concerned about cloud security, privacy, availability, and data protection. To discuss and address these issues, we invite researches who focus on cloud computing to shed more light on this emerging field.

FIWARE Global Summit - IoT Virtualization for Platform Interoperability

FIWARE

Big & Open Data: Challenges for Smartcity

Victoria López

This work is about how both private enterprise and government wish to improve their data value and how they deal with this issue. The talk summarizes the way of thinking about Big Data, Open Data and their use by organizations or individuals. Big Data is explained from collecting, storing, analyzing and put in value. This data is collected from numerous sources including sensor networks, government data holdings, company market databases, and public profiles on social networking sites. Organizations use many data analytical techniques to study both structured and unstructured data. Due to the volume, velocity and variety of data, some specific techniques have been developed. MapReduce, Hadoop and other related as RHadoop are trending topic nowadays. Data which come from government must be open. Every day more and more cities and countries are opening their data. Open Data is then presented as a specific case of public data with a special role in Smartcity. The main goal of Big and Open Data in Smartcity is to develop systems which can be useful for citizens. In this sense RMap (Mapa de Recursos) is shown as an Open Data application, an open system for Madrid City Council, avalaible for smarthphones and totally developed by the researching group G-TeC (www.tecnologiaUCM.es).

Cloud Computing

Ajay Paratmandali

LLamasoft, Cassidy Turley Partner on Supply Chain Modeling · Environmental Ma...

accidentaltorpo90

Zurich FLOSS and IT geeks — Open Cloud Initiative and demo

Sam Johnston

Linked Data and URIs

Alex Coley

Buycamp london 12th april - PPTXG-Cloud

Buycamp london 12th april - PDFG-Cloud

What's hot

Jisc11 Cloud Solutions Phil RichardsJisc

RMC_finalAndrea Manara

MongoDB Evenings Chicago - WindyGrid: Utilizing MongoDB for a Smarter & Safer...

MongoDB

NextGEOSS Cloud Computing needs managed by Terradue: key benefits of the new ...

terradue

Introduction Presentation for Webinar: Cloud and Earth Observation Procuremen...

OCRE | Open Clouds for Research Environments

Creating a value chain with IoT

Alexander Alten

Ict01 g113 cloud-computing_castillo

Carlo Castillo

Cloud computingPattaradanai Chitprasopnet

Elastic stack and cloud native architecture

Hisham El-breky

Introduction to Cloud Computing

United International University

International Journal on Cloud Computing: Services and Architecture (IJCCSA)

ijccsa

FIWARE Global Summit - IoT Virtualization for Platform Interoperability

FIWARE

Big & Open Data: Challenges for Smartcity

Victoria López

Cloud Computing

Ajay Paratmandali

LLamasoft, Cassidy Turley Partner on Supply Chain Modeling · Environmental Ma...

accidentaltorpo90

Zurich FLOSS and IT geeks — Open Cloud Initiative and demo

Sam Johnston

Linked Data and URIs

Alex Coley

What's hot (20)

Jisc11 Cloud Solutions Phil Richards

RMC_final

MongoDB Evenings Chicago - WindyGrid: Utilizing MongoDB for a Smarter & Safer...

NextGEOSS Cloud Computing needs managed by Terradue: key benefits of the new ...

Introduction Presentation for Webinar: Cloud and Earth Observation Procuremen...

Creating a value chain with IoT

Ict01 g113 cloud-computing_castillo

Cloud computing

Elastic stack and cloud native architecture

Introduction to Cloud Computing

International Journal on Cloud Computing: Services and Architecture (IJCCSA)

FIWARE Global Summit - IoT Virtualization for Platform Interoperability

Big & Open Data: Challenges for Smartcity

Cloud Computing

LLamasoft, Cassidy Turley Partner on Supply Chain Modeling · Environmental Ma...

Zurich FLOSS and IT geeks — Open Cloud Initiative and demo

Linked Data and URIs

Viewers also liked

Buycamp london 12th april - PPTXG-Cloud

Buycamp london 12th april - PDFG-Cloud

G-Cloud #AccreditCamp - Farnborough 17Apr2013

G-Cloud

G-Cloud #AccreditCamp

G-Cloud

Apply camp june 2012

G-Cloud

G-Cloud | ABC'sMark CRADDOCK

G-Cloud #AccreditCamp - London 16Jul2013

G-Cloud

Accredcamp

G-Cloud

G cloud presentation accreditcamp ii v2

G-Cloud

G-Cloud: where we are, where we're going

Eduserv

G cloud - what is it?

Andy Powell

Next generation e-government: G-Cloud and beyond

oleg2030

Viewers also liked (12)

Buycamp london 12th april - PPTX

Buycamp london 12th april - PDF

G-Cloud #AccreditCamp - Farnborough 17Apr2013

G-Cloud #AccreditCamp

Apply camp june 2012

G-Cloud | ABC's

G-Cloud #AccreditCamp - London 16Jul2013

Accredcamp

G cloud presentation accreditcamp ii v2

G-Cloud: where we are, where we're going

G cloud - what is it?

Next generation e-government: G-Cloud and beyond

Similar to UK G-Cloud: The First Instantiation of True Cloud?

Cloud Compting History.

Allwyn24

In 1999, Salesforce.com started delivering of applications to users using a simple website. The applications were delivered to enterprises over the Internet, and this way the dream of computing sold as utility were true. In 2002, Amazon started Amazon Web Services, providing services like storage, computation and even human intelligence. However, only starting with the launch of the Elastic Compute Cloud in 2006 a truly commercial service open to everybody existed. In 2009, Google Apps also started to provide cloud computing enterprise applications.

Cloud Computing And Virtualization

Sonali Parab

In computer networking, cloud computing is a phrase used to describe a variety of computing concepts that involve a large number of computers connected through a communication network such as the Internet. It is very similar to the concept of utility computing. In science, cloud computing is a synonym for distributed computing over a network, and means the ability to run a program or application on many connected computers at the same time. The phrase is often used in reference to network-based services, which appear to be provided by real server hardware, and are in fact served up by virtual hardware, simulated by software running on one or more real machines. Such virtual servers do not physically exist and can therefore be moved around and scaled up or down on the fly without affecting the end user, somewhat like a cloud becoming larger or smaller without being a physical object.

Cloud computing white paper

Vaneesh Bahl

cloude computing report

Krishnalal Kj

Welcome to cloud computing

Allwyn24

Cloud computing applicatio

Chetan Sontakke

J Internet Serv Appl (2010) 1 7–18DOI 10.1007s13174-010-00.docx

priestmanmable

J Internet Serv Appl (2010) 1: 7–18 DOI 10.1007/s13174-010-0007-6 O R I G I NA L PA P E R S Cloud computing: state-of-the-art and research challenges Qi Zhang · Lu Cheng · Raouf Boutaba Received: 8 January 2010 / Accepted: 25 February 2010 / Published online: 20 April 2010 © The Brazilian Computer Society 2010 Abstract Cloud computing has recently emerged as a new paradigm for hosting and delivering services over the Inter- net. Cloud computing is attractive to business owners as it eliminates the requirement for users to plan ahead for pro- visioning, and allows enterprises to start from the small and increase resources only when there is a rise in service demand. However, despite the fact that cloud computing offers huge opportunities to the IT industry, the development of cloud computing technology is currently at its infancy, with many issues still to be addressed. In this paper, we present a survey of cloud computing, highlighting its key concepts, architectural principles, state-of-the-art implementation as well as research challenges. The aim of this paper is to provide a better understanding of the design challenges of cloud computing and identify important research directions in this increasingly important area. Keywords Cloud computing · Data centers · Virtualization 1 Introduction With the rapid development of processing and storage technologies and the success of the Internet, computing resources have become cheaper, more powerful and more ubiquitously available than ever before. This technological trend has enabled the realization of a new computing model Q. Zhang · L. Cheng · R. Boutaba (�) University of Waterloo, Waterloo, Ontario, Canada, N2L 3G1 e-mail: [email protected] Q. Zhang e-mail: [email protected] L. Cheng e-mail: [email protected] called cloud computing, in which resources (e.g., CPU and storage) are provided as general utilities that can be leased and released by users through the Internet in an on-demand fashion. In a cloud computing environment, the traditional role of service provider is divided into two: the infrastructure providers who manage cloud platforms and lease resources according to a usage-based pricing model, and service providers, who rent resources from one or many infrastructure providers to serve the end users. The emer- gence of cloud computing has made a tremendous impact on the Information Technology (IT) industry over the past few years, where large companies such as Google, Ama- zon and Microsoft strive to provide more powerful, reliable and cost-efficient cloud platforms, and business enterprises seek to reshape their business models to gain benefit from this new paradigm. Indeed, cloud computing provides several compelling features that make it attractive to business owners, as shown below. No up-front investment: Cloud computing uses a pay-as- you-go pricing model. A service provider does not need to invest in the infrastructure to start gaining benefit from clo ...

Impactofcloudcomputing 141103103626-conversion-gate01

Rabia Naushad

Introduction to Cloud Computing and Cloud Infrastructure

SANTHOSHKUMARKL1

COMPARISON_BETWEEN_CLOUD_AND_GRID_COMPUT.pdf

Sbonelo Biyela

Cloud computing

Jawhar Ali

Cloud computing

pgayatrinaidu

An Efficient MDC based Set Partitioned Embedded Block Image Coding

Dr. Amarjeet Singh

In this paper, fast, efficient, simple and widely used Set Partitioned Embedded bloCK based coding is done on Multiple Descriptions of transformed image. The maximum potential of this type of coding can be exploited with discrete wavelet transform (DWT) of images. Two correlated descriptions are generated from a wavelet transformed image to ensure meaningful transmission of the image over noise prone wireless channels. These correlated descriptions are encoded by set partitioning technique through SPECK coders and transmitted over wireless channels. Quality of reconstructed image at the decoder side depends upon the number of descriptions received. More the number of descriptions received at output side, more enhance the quality of reconstructed image. However, if any of the multiple description is lost, the receive can estimate it exploiting the correlation between the descriptions. The simulations performed on an image on MATLAB gives decent performance and results even after half of the descriptions is lost in transmission.

Cloud Computing in Resource Management

Dr. Amarjeet Singh

Swiftly increasing demand of computational calculations in the process of business, transferring of files under certain protocols and data centers force to develop an emerging technology cater to the services for computational need, highly manageable and secure storage. To fulfill these technological desires cloud computing is the best answer by introducing various sorts of service platforms in high computational environment. Cloud computing is the most recent paradigm promising to turn around the vision of “computing utilities” into reality. The term “cloud computing” is relatively new, there is no universal agreement on this definition. In this paper, we go through with different area of expertise of research and novelty in cloud computing domain and its usefulness in the genre of management. Even though the cloud computing provides many distinguished features, it still has certain sorts of short comings amidst with comparatively high cost for both private and public clouds. It is the way of congregating amasses of information and resources stored in personal computers and other gadgets and further putting them on the public cloud for serving users. Resource management in a cloud environment is a hard problem, due to the scale of modern data centers, their interdependencies along with the range of objectives of the different actors in a cloud ecosystem. Cloud computing is turning to be one of the most explosively expanding technologies in the computing industry in this era. It authorizes the users to transfer their data and computation to remote location with minimal impact on system performance. With the evolution of virtualization technology, cloud computing has been emerged to be distributed systematically or strategically on full basis. The idea of cloud computing has not only restored the field of distributed systems but also fundamentally changed how business utilizes computing today. Resource management in cloud computing is in fact a typical problem which is due to the scale of modern data centers, the variety of resource types and their inter dependencies, unpredictability of load along with the range of objectives of the different actors in a cloud ecosystem.

Cloud computing

kalpzr

Cloud computing.pptx

ProfRajivKumarShobhi

Cloud intrusion detection System

sadegh salehi

CUTTING THROUGH THE FOG: UNDERSTANDING THE COMPETITIVE DYNAMICS IN CLOUD COMP...

HarshitParkar6677

Cloud Computing is growing rapidly, and it is likely to become part of the dominant computing infrastructure for individuals, start-up firms, small-medium businesses, and large enterprises. However, as it is still an emerging set of technologies and business models, discussions of Cloud Computing have not reached the level of clarity or shared conceptions of more mature areas of computing. The purpose of this document is threefold. Part I can be used as a standalone introduction to Cloud Computing for general audiences. It provides an operating definition of Cloud Computing, with an overview of the logic behind competing definitions. Part II introduces a set of conceptual tools that helps map US competitors and understand their strategies. The National Institute of Standards and Technology (NIST) definition of Cloud Computing distinguishes between service and delivery models. To the discussion of service models, we contribute a conception of ―stacks‖ that enhances the NIST definitions to better understand the realities of the market as it unfolds. Part II also presents Cisco‘s conceptions of delivery models, which are enhancements of the NIST definitions. Part III examines the market and regulatory issues facing different sets of users and providers. It concludes with a brief overview of emerging regulatory issues.

Cloud Computing: On the Air or Down to Earth - Beneficios para la Empresa

Software Guru

The Myths And Magic Of Cloud Computing

jayroy

Similar to UK G-Cloud: The First Instantiation of True Cloud? (20)

Cloud Compting History.

Cloud Computing And Virtualization

Cloud computing white paper

cloude computing report

Welcome to cloud computing

Cloud computing applicatio

J Internet Serv Appl (2010) 1 7–18DOI 10.1007s13174-010-00.docx

Impactofcloudcomputing 141103103626-conversion-gate01

Introduction to Cloud Computing and Cloud Infrastructure

COMPARISON_BETWEEN_CLOUD_AND_GRID_COMPUT.pdf

Cloud computing

An Efficient MDC based Set Partitioned Embedded Block Image Coding

Cloud Computing in Resource Management

Cloud computing

Cloud computing.pptx

Cloud intrusion detection System

CUTTING THROUGH THE FOG: UNDERSTANDING THE COMPETITIVE DYNAMICS IN CLOUD COMP...

Cloud Computing: On the Air or Down to Earth - Beneficios para la Empresa

The Myths And Magic Of Cloud Computing

More from Skills Matter

5 things cucumber is bad at by Richard Lawrence

Skills Matter

This talk will look at 5 things Cucumber’s bad at, why that’s a good thing, and what it tells us about Cucumber’s sweet spot in a team’s toolkit. Many times, when people complain about something Cucumber’s not good at, they’re unwittingly describing something Cucumber shouldn't be good at. They’re revealing that they don’t quite understand BDD and Cucumber’s role in it. Cucumber is the world's most misunderstood collaboration tool and people need to hear this over and over again.

Patterns for slick database applications

Skills Matter

Slick is Typesafe's open source database access library for Scala. It features a collection-style API, compact syntax, type-safe, compositional queries and explicit execution control. Community feedback helped us to identify common problems developers are facing when writing Slick applications. This talk suggests particular solutions to these problems. We will be looking at reducing boiler-plate, re-using code between queries, efficiently modeling object references and more.

Scala e xchange 2013 haoyi li on metascala a tiny diy jvm

Skills Matter

Metascala is a tiny metacircular Java Virtual Machine (JVM) written in the Scala programming language. Metascala is barely 3000 lines of Scala, and is complete enough that it is able to interpret itself metacircularly. Being written in Scala and compiled to Java bytecode, the Metascala JVM requires a host JVM in order to run. The goal of Metascala is to create a platform to experiment with the JVM: a 3000 line JVM written in Scala is probably much more approachable than the 1,000,000 lines of C/C++ which make up HotSpot, the standard implementation, and more amenable to implementing fun features like continuations, isolates or value classes. The 3000 lines of code gives you: The bytecode interpreter, together with all the run-time data structures A stack-machine to SSA register-machine bytecode translator A custom heap, complete with a stop-the-world, copying garbage collector Implementations of parts of the JVM's native interface Although it is far from a complete implementation, Metascala already provides the ability to run untrusted bytecode securely (albeit slowly), since every operation which could potentially cause harm (including memory allocations and CPU usage) is virtualized and can be controlled. Ongoing work includes tightening of the security guarantees, improving compatibility and increasing performance. ENJOYIN

Oscar reiken jr on our success at manheimSkills Matter

Progressive f# tutorials nyc dmitry mozorov & jack pappas on code quotations ...

Skills Matter

Cukeup nyc ian dees on elixir, erlang, and cucumberl

Skills Matter

Elixir, Erlang, and Cucumberl Elixir is a new Ruby-inspired programming language that uses the powerful concurrent machinery of Erlang behind the scenes. Cucumberl is a port of Cucumber to Erlang. Let's see what happens when we put them together. In this talk, we'll discuss: How Erlang's concurrency makes it easier to write robust programs Elixir's approachable syntax How to test Erlang and Elixir programs using Cucumberl Attendees will walk away with a solid introduction to the principles of Erlang, and an appreciation of the way Elixir brings the joy of Ruby to the solidity of the Erlang runtime.

Cukeup nyc peter bell on getting started with cucumber.js

Skills Matter

Agile testing & bdd e xchange nyc 2013 jeffrey davidson & lav pathak & sam ho...

Skills Matter

In this engaging experience report, we will present 3 different views – Developer, Tester, Business Analyst – of implementing Acceptance Test Driven Development in a complex, data-driven domain. Hear how we used ATDD for building a ubiquitous language across the entire team, promoting faster feedback, and cultivating a culture where product owners were deeply invested in the quality of both every deliverable and the system as a whole.

Progressive f# tutorials nyc rachel reese & phil trelford on try f# from zero...

Skills Matter

Progressive f# tutorials nyc don syme on keynote f# in the open source world

Skills Matter

F# is a powerful open-source language which Microsoft, other companies and the F# community all contribute to. In this talk, Don will discuss how the “F# space” has recently opened up significantly in interesting ways. F# now includes contributions that range from Cloud IDE platforms, Cloud Compute frameworks, Data interoperability components, Cross-platform execution, Try F#, MonoDevelop, and even Emacs editor integration with surprising tooling support, as well as the Visual F# tools from Microsoft and the broader NuGet package ecosystem. Don will also talk about some of the latest contributions from Microsoft Research, including new type provider components for F#, and describe how his team work with the Visual F# team and other teams around Microsoft. There will also be demos of some fun new stuff that’s been going on with F# at MSR and the community.

Agile testing & bdd e xchange nyc 2013 gojko adzic on bond villain guide to s...

Skills Matter

Dmitry mozorov on code quotations code as-data for f#

Skills Matter

A poet's guide_to_acceptance_testing

Skills Matter

Russ miles-cloudfoundry-deep-diveSkills Matter

Serendipity-neo4jSkills Matter

Simon Peyton Jones: Managing parallelism

Skills Matter

If you want to program a parallel computer, it obviously makes sense to start with a computational paradigm in which parallelism is the default (ie functional programming), rather than one in which computation is based on sequential flow of control (the imperative paradigm). And yet, and yet ... functional programmers have been singing this tune since the 1980s, but do not yet rule the world. In this talk I’ll say why I think parallelism is too complex a beast to be slain at one blow, and how we are going to be driven, willy-nilly, towards a world in which side effects are much more tightly controlled than now. I’ll sketch a whole range of ways of writing parallel program in a functional paradigm (implicit parallelism, transactional memory, data parallelism, DSLs for GPUs, distributed processes, etc, etc), illustrating with examples from the rapidly moving Haskell community, and identifying some of the challenges we need to tackle.

Plug 20110217Skills Matter

Lug presentationSkills Matter

I went to_a_communications_workshop_and_they_tSkills Matter

Plug saikuSkills Matter

More from Skills Matter (20)

5 things cucumber is bad at by Richard Lawrence

Patterns for slick database applications

Scala e xchange 2013 haoyi li on metascala a tiny diy jvm

Oscar reiken jr on our success at manheim

Progressive f# tutorials nyc dmitry mozorov & jack pappas on code quotations ...

Cukeup nyc ian dees on elixir, erlang, and cucumberl

Cukeup nyc peter bell on getting started with cucumber.js

Agile testing & bdd e xchange nyc 2013 jeffrey davidson & lav pathak & sam ho...

Progressive f# tutorials nyc rachel reese & phil trelford on try f# from zero...

Progressive f# tutorials nyc don syme on keynote f# in the open source world

Agile testing & bdd e xchange nyc 2013 gojko adzic on bond villain guide to s...

Dmitry mozorov on code quotations code as-data for f#

A poet's guide_to_acceptance_testing

Russ miles-cloudfoundry-deep-dive

Serendipity-neo4j

Simon Peyton Jones: Managing parallelism

Plug 20110217

Lug presentation

I went to_a_communications_workshop_and_they_t

Plug saiku

Recently uploaded

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.

When stars align: studies in data quality, knowledge graphs, and machine lear...

Elena Simperl

FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf

FIDO Alliance

AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...

Product School

Epistemic Interaction - tuning interfaces to provide information for AI support

Alan 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.

Knowledge engineering: from people to machines and back

Elena Simperl

How world-class product teams are winning in the AI era by CEO and Founder, P...

Product School

Connector Corner: Automate dynamic content and events by pushing a button

DianaGray10

Here is something new! In our next Connector Corner webinar, we will demonstrate how you can use a single workflow to: Create a campaign using Mailchimp with merge tags/fields Send an interactive Slack channel message (using buttons) Have the message received by managers and peers along with a test email for review But there’s more: In a second workflow supporting the same use case, you’ll see: Your campaign sent to target colleagues for approval If the “Approve” button is clicked, a Jira/Zendesk ticket is created for the marketing design team But—if the “Reject” button is pushed, colleagues will be alerted via Slack message Join us to learn more about this new, human-in-the-loop capability, brought to you by Integration Service connectors. And... Speakers: Akshay Agnihotri, Product Manager Charlie Greenberg, Host

Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...

Ramesh Iyer

In today's fast-changing business world, Companies that adapt and embrace new ideas often need help to keep up with the competition. However, fostering a culture of innovation takes much work. It takes vision, leadership and willingness to take risks in the right proportion. Sachin Dev Duggal, co-founder of Builder.ai, has perfected the art of this balance, creating a company culture where creativity and growth are nurtured at each stage.

Key Trends Shaping the Future of Infrastructure.pdf

Cheryl Hung

Monitoring Java Application Security with JDK Tools and JFR Events

Ana-Maria Mihalceanu

The Art of the Pitch: WordPress Relationships and Sales

Laura Byrne

Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes? All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.

Encryption in Microsoft 365 - ExpertsLive Netherlands 2024

Albert Hoitingh

Mission to Decommission: Importance of Decommissioning Products to Increase E...

Product School

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

FIDO Alliance

Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024

Tobias Schneck

As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other? Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.

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.

The Future of Platform Engineering

Jemma Hussein Allen

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...

Product School

Securing your Kubernetes cluster_ a step-by-step guide to success !

KatiaHIMEUR1

Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster. However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks. In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.

Recently uploaded (20)

Neuro-symbolic is not enough, we need neuro-*semantic*

When stars align: studies in data quality, knowledge graphs, and machine lear...

FIDO Alliance Osaka Seminar: Passkeys at Amazon.pdf

AI for Every Business: Unlocking Your Product's Universal Potential by VP of ...

Epistemic Interaction - tuning interfaces to provide information for AI support

Knowledge engineering: from people to machines and back

How world-class product teams are winning in the AI era by CEO and Founder, P...

Connector Corner: Automate dynamic content and events by pushing a button

Builder.ai Founder Sachin Dev Duggal's Strategic Approach to Create an Innova...

Key Trends Shaping the Future of Infrastructure.pdf

Monitoring Java Application Security with JDK Tools and JFR Events

The Art of the Pitch: WordPress Relationships and Sales

Encryption in Microsoft 365 - ExpertsLive Netherlands 2024

Mission to Decommission: Importance of Decommissioning Products to Increase E...

FIDO Alliance Osaka Seminar: The WebAuthn API and Discoverable Credentials.pdf

Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024

Slack (or Teams) Automation for Bonterra Impact Management (fka Social Soluti...

The Future of Platform Engineering

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...

Securing your Kubernetes cluster_ a step-by-step guide to success !