The document summarizes the progress of EnCloud, a company developing a cloud storage solution. It describes their initial focus on enterprise customers and the realization through customer interviews that privacy and availability were not strong pain points. It then details their pivots to target other segments including petabyte-scale enterprises, storage solution providers, and individuals. After developing and testing several MVPs, the document outlines their latest focus on providing a solution for individuals to access and organize private data across multiple cloud accounts and devices through a common interface.
A confluence of events is accelerating the growth of AI in the Enterprise - (i) The COVID pandemic is accelerating the digital transformation of enterprises, (ii) increased digital sales & digital interaction is fueling interest in operationalizing AI to drive revenue and cost efficiencies and (iii) Enterprise databases and enterprise apps are infusing AI to transparently augment predictive capabilities for clients. Enterprise Power Systems are pillars of the global economy hosting our trinity of operating systems
With shrinking production cycles, increasing demand for customized products, and a growing skills gap in the workforce, there are many pressures affecting the manufacturing industry. Technology offers many potential solutions, along with its own set of changes and challenges, including data overload.
Advanced analytics solutions can help address these issues. Some enterprises are already reaping the benefits, like automated supply chains and predictive maintenance, but often it’s unclear where to begin.
Learn how manufacturing analytics solutions can improve core production and supply chain operations like quality assurance and inventory optimization. With the right approach and tools, and using your existing technology investments, you can uncover potential insights and solutions in the information you already have.
Data Science: Good, Bad and Ugly by Irina KukuyevaData Con LA
Abstract:- As a data scientist, I get to see a broad spectrum of the 'good', 'bad', and 'ugly' implementations of engineering and data practices. I'd be happy to share my tips and experiences with the broader community: the do's and don'ts of working with data in production, for collaboration, and for getting actionable insights.
As the digital transformation of the retail market accelerates, advanced analytics and big data technologies can help retailers gather critical customer intelligence and optimize operations that lead to better customer experiences and increased sales.
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 201...Edgar Alejandro Villegas
Presentation slides of:
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 2013 - PDF
Scott Mackenzie - Sr. Director, Platform & Analytics CoE
Michael Golzc - CIO for SAP Americas
Ken Demma - VP, Insight Driven Marketing
20 Aug 2013 - Webcast - http://goo.gl/T74WAL
A confluence of events is accelerating the growth of AI in the Enterprise - (i) The COVID pandemic is accelerating the digital transformation of enterprises, (ii) increased digital sales & digital interaction is fueling interest in operationalizing AI to drive revenue and cost efficiencies and (iii) Enterprise databases and enterprise apps are infusing AI to transparently augment predictive capabilities for clients. Enterprise Power Systems are pillars of the global economy hosting our trinity of operating systems
With shrinking production cycles, increasing demand for customized products, and a growing skills gap in the workforce, there are many pressures affecting the manufacturing industry. Technology offers many potential solutions, along with its own set of changes and challenges, including data overload.
Advanced analytics solutions can help address these issues. Some enterprises are already reaping the benefits, like automated supply chains and predictive maintenance, but often it’s unclear where to begin.
Learn how manufacturing analytics solutions can improve core production and supply chain operations like quality assurance and inventory optimization. With the right approach and tools, and using your existing technology investments, you can uncover potential insights and solutions in the information you already have.
Data Science: Good, Bad and Ugly by Irina KukuyevaData Con LA
Abstract:- As a data scientist, I get to see a broad spectrum of the 'good', 'bad', and 'ugly' implementations of engineering and data practices. I'd be happy to share my tips and experiences with the broader community: the do's and don'ts of working with data in production, for collaboration, and for getting actionable insights.
As the digital transformation of the retail market accelerates, advanced analytics and big data technologies can help retailers gather critical customer intelligence and optimize operations that lead to better customer experiences and increased sales.
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 201...Edgar Alejandro Villegas
Presentation slides of:
It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 2013 - PDF
Scott Mackenzie - Sr. Director, Platform & Analytics CoE
Michael Golzc - CIO for SAP Americas
Ken Demma - VP, Insight Driven Marketing
20 Aug 2013 - Webcast - http://goo.gl/T74WAL
In IT we have too many data sources, not enough resources, and too many discourses about what to do about it. We love to talk about Unified IT at Ivanti, but what does that look like? Come see the future of IT with Ivanti Cloud.
In this webinar, we’ll have short discussions with the Ivanti Cloud Product Team around topics like: 1) The state of IT in the Cloud, 2) How Unified IT has to start with unified data, 3) Instant data vs. trending data vs. aggregated data, 4) Interesting customer use cases we’ve seen so far using Ivanti Cloud. Join us and discover what you can do for IT in the Cloud.
Masterdata - why it matters and how SmartMDM™ can help?Bilot
Could the whole organization be involved in the maintenance of the master data? Could de-centralizing be the key to agile & long lasting master data management? Customer cases & key info presented at the Breakfast Club seminar on the 18th May 2017.
Want to learn more? Download the 10 things to consider when choosing your master data governance tool -guide: http://go.bilot.fi/2017-05-SmartMDMDownload_LP-Download.html
Mobile, Wearables, Big Data and A Strategy to Move Forward (with NTT Data Ent...Barcoding, Inc.
Join NTT Data Enterprise Services, Inc.for a discussion on the Internet of Things (IoT), wearables, augmented reality, predictive analytics, and a strategy for using Big Data effectively in your enterprise. Presented at the Barcoding, Inc. Executive Forum 2014
Report: 2016 State of Manufacturing Technology Plex Systems
Manufacturers are leveraging technology to effectively manage their business operations. This report captures how 200 manufacturers, representing all aspects of the industry, connect machines, mobile devices, #wearables, and people to the cloud to access real-time data for real-time decision making.
Pivotal Digital Transformation Forum: Becoming a Data Driven EnterpriseVMware Tanzu
Next Steps in Your Digital Transformation
This session brings together all the lessons learnt throughout the day and shares with you practical advice on how to get started with, or accelerate, your journey to become a digital business.
Platforming the Major Analytic Use Cases for Modern EngineeringDATAVERSITY
We’ll describe some use cases as examples of a broad range of modern use cases that need a platform. We will describe some popular valid technology stacks that enterprises use in accomplishing these modern use cases of customer churn, predictive analytics, fraud detection, and supply chain management.
In many industries, to achieve top-line growth, it is imperative that companies get the most out of existing customer relationships. Customer churn use cases are about generating high levels of profitable customer satisfaction through the use of knowledge generated from corporate and external data to help drive a more positive customer experience (CX).
Many organizations are turning to predictive analytics to increase their bottom line and efficiency and, therefore, competitive advantage. It can make the difference between business success or failure.
Fraudulent activity detection is exponentially more effective when risk actions are taken immediately (i.e., stop the fraudulent transaction), instead of after the fact. Fast digestion of a wide network of risk exposures across the network is required in order to minimize adverse outcomes.
Supply chain leaders are under constant pressure to reduce overall supply chain management (SCM) costs while maintaining a flexible and diverse supplier ecosystem. They will leverage IoT, sensors, cameras, and blockchain. Major investments in advanced analytics, warehouse relocation, and automation, both in distribution centers and stores, will be essential for survival.
Digital Architecture – The Missing Link in Digital Transformation SuccessNUS-ISS
Today, every business is a Digital Business. And Digital Architecture is the critical enabler of successful Organisation’s Digital Strategy and Transformation. Without Digital Architecture, most organisation’s Digital Transformation efforts will fail or may not derive the full benefits of their Digital Strategy. In this session, we will distil the essence of Digital Architecture best practices of successful organisations into a set of principles, framework and toolkit that participants can apply to their organisations to drive successful Digital Transformation.
Capitaliser sur la valeur de l’IoT : comment démarrer sa transformation numér...Greg Eva
Intitulé “Capitaliser sur la valeur de l’IoT : comment démarrer sa transformation numérique”, le webinaire conduit le 28 novembre 2019 par Greg Eva, Technical Business Development Manager chez PTC, a fourni de nombreuses recommandations pragmatiques sur la façon de bien démarrer avec l’IoT et l’analyse des données.
This Workshop Teaches Business Leaders How To Implement AI Technologies To Serve Customers Better Than Anybody Else.
AGENDA
Introduction to Artificial Intelligence
Extracting Value & Delivering Value
Predictive & Preventive maintenance
Marine market, Jet engines
How to prepare & implement AI Playbook
AI and Automation in the most valuable business decisions. Leveraging REJ (Rapid Economic Justification) to identify the best use of AI. Presentation from the Infosys AI Summit in Miami.
Keine Angst vorm Dinosaurier: Mainframe-Integration und -Offloading mit Confl...Precisely
Mainframes sind immer noch weit verbreitet im Einsatz und verarbeiten täglich über 70 Prozent der wichtigsten Rechentransaktionen der Welt. Sehr hohe Kosten, monolithische Architekturen und fehlende Experten sind die größten Herausforderungen für Mainframe-Anwendungen. Es ist an der Zeit, innovativer zu werden, auch mit dem Mainframe! Stellen wir uns gemeinsam dem Dinosaurier!
Mainframe Offloading mit Confluent, Apache Kafka und dem zugehörigen Ökosystem kann genutzt werden, um moderne Dateninfrastrukturen in Echtzeit mit dem Mainframe synchron zu halten. Dabei ermöglich Kafka sowohl die Datenverarbeitung als auch die Integration mit Systemen wie Data Warehouses und Analytics-Plattformen. Dabei können via Change Data Capture (CDC) permanent Mainframe-Änderungen im hochvoluminösen Bereich nach Kafka gepusht werden.
In dieser on-demand-präsentation zeigen Confluent und Precisely, wie Unternehmen diesen Schritt zur Legacy-Migration machen, Kosten sparen, eine skalierbare und offene Architektur schaffen und so neue Dienste und Anwendungen ermöglichen.
Webinar - The Science Behind Effective Service CataloguesManageEngine
In this webinar, you will learn about the value of service catalogues to businesses. You will also learn about the different types of service catalogues and how to build them from the ground up. At the end of the webinar, there is an interesting demo of ServiceDesk Plus - you will see how an IT admin helps a new employee with her request for a new laptop.
A short presentation about, how to better design an AI Products using Product Thinking Principals meshed with AI Best Practice and learning from dealing with its Pitfalls.
Connect me at:
https://www.linkedin.com/in/saurabhkaushik
https://twitter.com/saurabhkaushik
The Shifting Landscape of Data IntegrationDATAVERSITY
Enterprises and organizations from every industry and scale are working to leverage data to achieve their strategic objectives — whether they are to be more profitable, effective, risk-tolerant, prepared, sustainable, and/or adaptable in an ever-changing world. Data has exploded in volume during the last decade as humans and machines alike produce data at an exponential pace. Also, exciting technologies have emerged around that data to improve our abilities and capabilities around what we can do with data.
Behind this data revolution, there are forces at work, causing enterprises to shift the way they leverage data and accelerate the demand for leverageable data. Organizations (and the climates in which they operate) are becoming more and more complex. They are also becoming increasingly digital and, thus, dependent on how data informs, transforms, and automates their operations and decisions. With increased digitization comes an increased need for both scale and agility at scale.
In this session, we have undertaken an ambitious goal of evaluating the current vendor landscape and assessing which platforms have made, or are in the process of making, the leap to this new generation of Data Management and integration capabilities.
Four Reasons Why Your Backup & Recovery Hardware will Break by 2020Storage Switzerland
While backup software vendors continue to innovate, hardware vendors have been resting on their deduplication laurels. In the meantime, the amount of data that organizations store continues to grow at an alarming pace and the backup and disaster recovery expectations of users are higher than ever. Most backup solutions today simply will not be able to keep pace with these realities. If organizations don't act now to address the weaknesses in their backup hardware, they will not be able to meet organizational demands by 2020. In this webinar, Cloudian and Storage Switzerland discuss three areas where IT professionals need to expect more from their backup hardware and where they should demand less.
In IT we have too many data sources, not enough resources, and too many discourses about what to do about it. We love to talk about Unified IT at Ivanti, but what does that look like? Come see the future of IT with Ivanti Cloud.
In this webinar, we’ll have short discussions with the Ivanti Cloud Product Team around topics like: 1) The state of IT in the Cloud, 2) How Unified IT has to start with unified data, 3) Instant data vs. trending data vs. aggregated data, 4) Interesting customer use cases we’ve seen so far using Ivanti Cloud. Join us and discover what you can do for IT in the Cloud.
Masterdata - why it matters and how SmartMDM™ can help?Bilot
Could the whole organization be involved in the maintenance of the master data? Could de-centralizing be the key to agile & long lasting master data management? Customer cases & key info presented at the Breakfast Club seminar on the 18th May 2017.
Want to learn more? Download the 10 things to consider when choosing your master data governance tool -guide: http://go.bilot.fi/2017-05-SmartMDMDownload_LP-Download.html
Mobile, Wearables, Big Data and A Strategy to Move Forward (with NTT Data Ent...Barcoding, Inc.
Join NTT Data Enterprise Services, Inc.for a discussion on the Internet of Things (IoT), wearables, augmented reality, predictive analytics, and a strategy for using Big Data effectively in your enterprise. Presented at the Barcoding, Inc. Executive Forum 2014
Report: 2016 State of Manufacturing Technology Plex Systems
Manufacturers are leveraging technology to effectively manage their business operations. This report captures how 200 manufacturers, representing all aspects of the industry, connect machines, mobile devices, #wearables, and people to the cloud to access real-time data for real-time decision making.
Pivotal Digital Transformation Forum: Becoming a Data Driven EnterpriseVMware Tanzu
Next Steps in Your Digital Transformation
This session brings together all the lessons learnt throughout the day and shares with you practical advice on how to get started with, or accelerate, your journey to become a digital business.
Platforming the Major Analytic Use Cases for Modern EngineeringDATAVERSITY
We’ll describe some use cases as examples of a broad range of modern use cases that need a platform. We will describe some popular valid technology stacks that enterprises use in accomplishing these modern use cases of customer churn, predictive analytics, fraud detection, and supply chain management.
In many industries, to achieve top-line growth, it is imperative that companies get the most out of existing customer relationships. Customer churn use cases are about generating high levels of profitable customer satisfaction through the use of knowledge generated from corporate and external data to help drive a more positive customer experience (CX).
Many organizations are turning to predictive analytics to increase their bottom line and efficiency and, therefore, competitive advantage. It can make the difference between business success or failure.
Fraudulent activity detection is exponentially more effective when risk actions are taken immediately (i.e., stop the fraudulent transaction), instead of after the fact. Fast digestion of a wide network of risk exposures across the network is required in order to minimize adverse outcomes.
Supply chain leaders are under constant pressure to reduce overall supply chain management (SCM) costs while maintaining a flexible and diverse supplier ecosystem. They will leverage IoT, sensors, cameras, and blockchain. Major investments in advanced analytics, warehouse relocation, and automation, both in distribution centers and stores, will be essential for survival.
Digital Architecture – The Missing Link in Digital Transformation SuccessNUS-ISS
Today, every business is a Digital Business. And Digital Architecture is the critical enabler of successful Organisation’s Digital Strategy and Transformation. Without Digital Architecture, most organisation’s Digital Transformation efforts will fail or may not derive the full benefits of their Digital Strategy. In this session, we will distil the essence of Digital Architecture best practices of successful organisations into a set of principles, framework and toolkit that participants can apply to their organisations to drive successful Digital Transformation.
Capitaliser sur la valeur de l’IoT : comment démarrer sa transformation numér...Greg Eva
Intitulé “Capitaliser sur la valeur de l’IoT : comment démarrer sa transformation numérique”, le webinaire conduit le 28 novembre 2019 par Greg Eva, Technical Business Development Manager chez PTC, a fourni de nombreuses recommandations pragmatiques sur la façon de bien démarrer avec l’IoT et l’analyse des données.
This Workshop Teaches Business Leaders How To Implement AI Technologies To Serve Customers Better Than Anybody Else.
AGENDA
Introduction to Artificial Intelligence
Extracting Value & Delivering Value
Predictive & Preventive maintenance
Marine market, Jet engines
How to prepare & implement AI Playbook
AI and Automation in the most valuable business decisions. Leveraging REJ (Rapid Economic Justification) to identify the best use of AI. Presentation from the Infosys AI Summit in Miami.
Keine Angst vorm Dinosaurier: Mainframe-Integration und -Offloading mit Confl...Precisely
Mainframes sind immer noch weit verbreitet im Einsatz und verarbeiten täglich über 70 Prozent der wichtigsten Rechentransaktionen der Welt. Sehr hohe Kosten, monolithische Architekturen und fehlende Experten sind die größten Herausforderungen für Mainframe-Anwendungen. Es ist an der Zeit, innovativer zu werden, auch mit dem Mainframe! Stellen wir uns gemeinsam dem Dinosaurier!
Mainframe Offloading mit Confluent, Apache Kafka und dem zugehörigen Ökosystem kann genutzt werden, um moderne Dateninfrastrukturen in Echtzeit mit dem Mainframe synchron zu halten. Dabei ermöglich Kafka sowohl die Datenverarbeitung als auch die Integration mit Systemen wie Data Warehouses und Analytics-Plattformen. Dabei können via Change Data Capture (CDC) permanent Mainframe-Änderungen im hochvoluminösen Bereich nach Kafka gepusht werden.
In dieser on-demand-präsentation zeigen Confluent und Precisely, wie Unternehmen diesen Schritt zur Legacy-Migration machen, Kosten sparen, eine skalierbare und offene Architektur schaffen und so neue Dienste und Anwendungen ermöglichen.
Webinar - The Science Behind Effective Service CataloguesManageEngine
In this webinar, you will learn about the value of service catalogues to businesses. You will also learn about the different types of service catalogues and how to build them from the ground up. At the end of the webinar, there is an interesting demo of ServiceDesk Plus - you will see how an IT admin helps a new employee with her request for a new laptop.
A short presentation about, how to better design an AI Products using Product Thinking Principals meshed with AI Best Practice and learning from dealing with its Pitfalls.
Connect me at:
https://www.linkedin.com/in/saurabhkaushik
https://twitter.com/saurabhkaushik
The Shifting Landscape of Data IntegrationDATAVERSITY
Enterprises and organizations from every industry and scale are working to leverage data to achieve their strategic objectives — whether they are to be more profitable, effective, risk-tolerant, prepared, sustainable, and/or adaptable in an ever-changing world. Data has exploded in volume during the last decade as humans and machines alike produce data at an exponential pace. Also, exciting technologies have emerged around that data to improve our abilities and capabilities around what we can do with data.
Behind this data revolution, there are forces at work, causing enterprises to shift the way they leverage data and accelerate the demand for leverageable data. Organizations (and the climates in which they operate) are becoming more and more complex. They are also becoming increasingly digital and, thus, dependent on how data informs, transforms, and automates their operations and decisions. With increased digitization comes an increased need for both scale and agility at scale.
In this session, we have undertaken an ambitious goal of evaluating the current vendor landscape and assessing which platforms have made, or are in the process of making, the leap to this new generation of Data Management and integration capabilities.
Four Reasons Why Your Backup & Recovery Hardware will Break by 2020Storage Switzerland
While backup software vendors continue to innovate, hardware vendors have been resting on their deduplication laurels. In the meantime, the amount of data that organizations store continues to grow at an alarming pace and the backup and disaster recovery expectations of users are higher than ever. Most backup solutions today simply will not be able to keep pace with these realities. If organizations don't act now to address the weaknesses in their backup hardware, they will not be able to meet organizational demands by 2020. In this webinar, Cloudian and Storage Switzerland discuss three areas where IT professionals need to expect more from their backup hardware and where they should demand less.
Next Level Learning IT Track - Journey to the Cloud with Azure in EducationMicrosoft Education AU
Review the presentation from the Next Level Learning IT Track - Journey to the Cloud with Azure in Education to gain a deeper understanding how Microsoft Azure and the IAAS, PAAS, SAAS in Azure, can drive efficiencies, security and savings in your school
Denodo’s Data Catalog: Bridging the Gap between Data and BusinessDenodo
Watch full webinar here: https://bit.ly/3rrE6rh
Self service is a major goal of modern data strategists. Denodo’s data catalog is a key piece in Denodo’s portfolio to bridge the gap between the technical data infrastructure and business users. It provides documentation, search, governance and collaboration capabilities, and data exploration wizards. It’s the perfect companion for a virtual layer to fully empower those self service initiatives with minimal IT intervention. It provides business users with the tool to generate their own insights with proper security, governance and guardrails.
In this session we will see:
- The role of a virtual semantic layer in self service initiatives
- What are the key capabilities of Denodo’s new Data Catalog
- Best practices and advanced tips for a successful deployment
- How customers are using the Denodo’s Data Catalog to enable self-service initiatives
Everyone understands disk has become the primary target for backups in the last several years. It’s also safe to say that the main type of disk storage used as a target for backups would be a purpose-built backup appliance that presents itself to the backup application as an NFS or SMB server and then deduplicates any backups stored on it.
But what about object storage? Object storage vendors tout that their systems are less expensive to buy and less expensive to operate than traditional disk arrays and NAS appliances. So, does it make sense to use them for backups? How much is deduplication a factor and is deduplication even available with object storage? What else can object storage bring to the table that traditional disk backup appliances can’t?
Webinar - Office Productivity in the Cloud - 2016-08-18TechSoup
Visit http://www.techsoup.org for donated technology for nonprofits and libraries!
Interested in using office productivity tools in the cloud, but not sure where to begin? You can replace or add to many desktop-installed tools to create documents, spreadsheets, presentations, and more by folding cloud productivity applications into your daily routine.
Access documents from anywhere, collaborate on that budget report with remote board members, share files with your development staff on the road so you can meet those grant deadlines!
In this free webinar with Tech Impact and Amazon Web Services, learn about the ins and outs of using cloud office productivity tools, the benefits and limitations, and get help deciding whether your organization should make the switch. We also highlight the office productivity toolset from Amazon Web Services, so you can get a peek at what one looks like in real-time.
Data Protection Modernization - Restore, Reuse, ReinventPaula Koziol
We all have to backup data – but it’s often expensive and difficult, and the data we protect generally sits there doing absolutely nothing (unless you really need it). As IT environments change IBM believes that there needs to be a way to unlock value from your backup data. VM Admins, developers, application owners would love to be able to easily access their own backup data for a number of re-use purposes such as testing, development, reporting or analytics.
IBM Spectrum Protect Plus can simplify the backup process whilst making data readily available for the people who really need it - addressing traditional backup needs such as compliance alongside modern data re-use and self service capabilities.
The more you use your data, the more valuable it is.
Webinar: NAS vs. Object Storage: 10 Reasons Why Object Storage Will WinStorage Switzerland
Join Storage Switzerland's Founder George Crump and Caringo's VP of Products Tony Barbagallo for this on demand webinar. They compare NAS and object storage and provide 10 reasons they think object storage will be the file server of the future for the enterprise.
Your Data is Waiting. What are the Top 5 Trends for Data in 2022? (ASEAN)Denodo
Watch full webinar here: https://bit.ly/3saONRK
COVID-19 has pushed every industry and organization to embrace digital transformation at scale, upending the way many businesses will operate for the foreseeable future. Organizations no longer tolerate monolithic and centralized data architecture; they are embracing flexibility, modularity, and distributed data architecture to help drive innovation and modernize processes.
The pandemic has compelled organizations to accelerate their digital transformation initiatives and look for smarter and more agile ways to manage and leverage their corporate data assets. Data governance has become challenging in the ever-increasing complexity and distributed nature of the data ecosystem. Interoperability, collaboration and trust in data are imperative for a business to succeed. Data needs to be easily accessible and fit for purpose.
In this session, Denodo experts will discuss 5 key trends that are expected to be top of mind for CIOs and CDOs;
- Distributed Data Environments
- Decision Intelligence
- Modern Data Architecture
- Composable Data & Analytics
- Hyper-personalized Experiences
Webinar: The Three New Requirements of Unstructured Data ProtectionStorage Switzerland
Can your backup deliver? Join Storage Switzerland and Aparavi for this on demand webinar where they discuss the unstructured data problem, why legacy solutions fall short and the three key capabilities that modern unstructured data protection solutions must deliver so that organizations can extract maximum value from their unstructured data investment.
Implementing a Data Mesh with Apache Kafka with Adam Bellemare | Kafka Summit...HostedbyConfluent
Have you heard about Data Mesh but never really understood how you actually build one? Data mesh is a relatively recent term that describes a set of principles that good modern data systems uphold. Although the data mesh is not a technology specific pattern, it requires that organizations make choices and investments into specific technologies and operational policies when implementing the mesh. Establishing ""paved roads"" for creating, publishing, evolving, deprecating, and discovering data products is essential for bringing the benefits of the mesh to those who would use it.
In this talk, Adam covers implementing a self-service data mesh with events streams in Apache Kafka®. Event streams as a data product are an essential part of a real-world data mesh, as they enable both operational and analytical workloads from a common source of truth. Event streams provide full historical data along with realtime updates, letting each individual data product consumer decide what to consume, how to remodel it, and where to store it to best suit their needs.
Adam structures this talk by seeking to answer a hypothetical SaaS business question of ""what is the relationship between feature usage and user retention?"" This example explores each team's role in the data mesh, including the data products they would (and wouldn't) publish, how other teams could use the products, and the organizational dynamics and principles underpinning it all.
File share and sync (bara) är så 2017!
Att dela filer bekvämt och säkert var bara början. Box har gått vidare till att integrera delade filer i applikationer och processflöden, och revolutionera både internt och externt arbete. Hur kan det revolutionera för dig?
Talare: Jan Hygstedt, Director Nordic, Box
Presentation från Watson Kista Summit 2018
Mithi Software, an award-winning company, distinguishes itself in providing Cloud Email, Collaboration, and Archiving Solutions, which help substantially lower costs & improve productivity. Its software has been adopted by organizations of all sizes and spread across many enterprise segments such as healthcare, R&D establishments, financial services, education, government, BPOs, software, defense, manufacturing, banks, NGOs, Agro-industries, logistics, media, Internet Service Providers, infrastructure, retail, energy & power, transportation etc. Learn more: https://www.mithi.com/
Team Networks - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, networks
Team LiOn Batteries - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, LiOn Batteries
Team Quantum - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Quantum
Team Disinformation - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Disinformation
Team Wargames - 2022 Technology, Innovation & Great Power CompetitionStanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Wargames
Team Acquistion - 2022 Technology, Innovation & Great Power Competition Stanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, Acquistion
Team Climate Change - 2022 Technology, Innovation & Great Power Competition Stanford University
Technology Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, climate
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, Army venture capital
Team Army venture capital - 2021 Technology, Innovation & Great Power Competi...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve Blank, Army Venture capital
Team Catena - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, economic coercion,
Team Apollo - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, space force
Team Drone - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, c3i, command and control
Team Short Circuit - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, semiconductors
Team Aurora - 2021 Technology, Innovation & Great Power CompetitionStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, Army venture capital
Team Conflicted Capital Team - 2021 Technology, Innovation & Great Power Comp...Stanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, venture capital
Lecture 8 - Technology, Innovation and Great Power Competition - CyberStanford University
Technology, Innovation and Great Power Competition,TIGPC, Gordian knot Center, DIME-FIL, department of defense, dod, hacking for defense, intlpol 340, joe felter, ms&e296, raj shah, stanford, Steve blank, AI, ML, AI/ML, china, unmanned, autonomy, Michael Sulmeyer, cybercom,USCYBERCOM
How to Split Bills in the Odoo 17 POS ModuleCeline George
Bills have a main role in point of sale procedure. It will help to track sales, handling payments and giving receipts to customers. Bill splitting also has an important role in POS. For example, If some friends come together for dinner and if they want to divide the bill then it is possible by POS bill splitting. This slide will show how to split bills in odoo 17 POS.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
This presentation provides an introduction to quantitative trait loci (QTL) analysis and marker-assisted selection (MAS) in plant breeding. The presentation begins by explaining the type of quantitative traits. The process of QTL analysis, including the use of molecular genetic markers and statistical methods, is discussed. Practical examples demonstrating the power of MAS are provided, such as its use in improving crop traits in plant breeding programs. Overall, this presentation offers a comprehensive overview of these important genomics-based approaches that are transforming modern agriculture.
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
1. EnCloud
Seamless & Secure Cloud Storage
# of interviews this week: 10
# of interviews to date: 121
Rashmi
EECS PhD 5th yr
Best paper awards,
Implemented her
invention for
Facebook
Kangwook
EECS PhD 6th yr
Hacker: awards
from startup
competitions &
hackathons
Mitya
MBA 2nd year
Pivoted his life
twice
Richard
BS, CS/Business
Ran a virtual
server business
for over two years
Mentors:
Ashmeet Sidana
Kanu Gulati
Advisors:
Andy Chou
Jeremy Fiance
2. Original idea (week 0)
Not able to run their
systems on public cloud
due to its
• Low privacy
• Low availability
• Perfect privacy
• Higher availability
• Cost efficient
Highly Available and Private Cloud Storage for Enterprises
Market type: existing / segmented
TAM: $91.2 Bn, SAM: $35.0 Bn
2
3. Enterprises which
do not store critical
data on public
cloud storage due
to availability issues
Original canvas (week 1)
Perfect privacy
Higher availability
Lower cost
Enterprises which
are still using private
storage due to
organizational
security/privacy
standards and
compliance
requirements
Enterprises which do
not store critical data
on public cloud
storage due to
availability issues
Made-to-order
software solution
Technical support
Deep customization
Prove efficiency
SW development
Tech. expertises
SW engineers
Customer
development and
sales experts
Cloud providers
Multi-cloud
management
providers
Backup and recovery
solution providers
SW development and
support
SW integration
Customer acquisition
Security auditing
Pay-per-use
Premium add-on to
public cloud services
SW licensing fee
EDM solution
providers
Direct Sales
Resellers / OEM
System Integration
Consulting fees
3
4. Enterprises which
do not store critical
data on public
cloud storage due
to availability issues
Product-market fit (week 1)
Perfect privacy
Higher availability
Lower cost
Enterprises which
are still using private
storage due to
organizational
security/privacy
standards and
compliance
requirements
Enterprises which do
not store critical data
on public cloud
storage due to
availability issues
Made-to-order
software solution
Technical support
Deep customization
Prove efficiency
SW development
Tech. expertises
SW engineers
Customer
development and
sales experts
Cloud providers
Multi-cloud
management
providers
Backup and recovery
solution providers
SW development and
support
SW integration
Customer acquisition
Security auditing
Pay-per-use
Premium add-on to
public cloud services
SW licensing fee
EDM solution
providers
Direct Sales
Resellers / OEM
System Integration
Consulting fees
Perfect
privacy
Higher
availability
Cost
effective
Enterprises which
are still using private
storage due to
privacy and
availability concerns
Value Proposition Customer Segments
4
5. Week 1-4: 40 interviews with diverse mix of companies
Storage
expertise
Low
High
HRHealth
Object storage
Media storage Finance
E-commerce
Storage appliance
SSD
Social and search
5
7. And by Week 4 we learned that nobody cares!
Existing clouds
good enough
Data Privacy Data Availability
Not a strong
pain point!
Storage cost
No one is
willing to pay!+ +
7
8. Lower cost
for private clouds
Refined product-market fit (week 4)
Enterprises which are still
using private storage due
to organizational
security/privacy standards
and compliance
requirements
Enterprises which do not
store critical data on public
cloud storage due to
availability issues
Faster data
recovery
for private clouds
Higher
availability
Enterprises with PB-
scale data in private
clouds
Data storage/
backup solution
providers that use
old technology
New focus:
Lower cost of data storage and
better performance for
(1) Petabyte-sized enterprises and
(2) Storage solution providers
8
9. MVP 2 (week 4)
Cost 3x 1.4x 1.4x
Privacy Zero Not much Perfect
Durability High Higher Highest
Repair Fastest Slow Fast
Replication Erasure Coding
9
10. Week 7: Market too small here as well!!!
Enterprises
Cost is not enough of a
pain to attract transition to
our product
Storage solution providers
Storage solution providers
are not ready to pay for
the closed-source solution
Build
their own
storage
solutions
10
11. Learnings by week 7
We got a famous, award-winning
paper!!! How hard can it be?
Initial thoughts Week 7 thoughts
Technological advancement ≠
Business Value for customers
45% efficiency improvement is
huge. Everyone will buy it!!!
To pay money, companies are
looking for 3x-5x improvement
We have a groundbreaking
technology, central to our product
We should forget the technology
and let evidence change our mind
11
13. Time to restart (week 8)
A-ha moments from the past interviews:
-”I would love to use that technology not for
my company’s data, but for my own data”
CIO, fintech comp
-”Pain points related to company data?
Nah. I do have some with my personal
data.”
Senior Product engineer, BigTech
13
14. Secure storage
for your privacy
sensitive data
Seamlessly
virtualize and
optimize all your
cloud storages
New product-market fit, week 8
Fear of breach
Fragmentation
14
15. New product-market fit, week 8
Access private data
from any of user's
devices
Not lose private data
Save time for
securing/backing-up
private data
Young
professionals and
graduate students,
who have sensitive
data and data they
don't want to lose,
use 2+ devices and
1+ cloud accounts
Young
professionals and
graduate students,
who use multiple
cloud services who
value their time
Organize data across
multiple clouds
through common
interface
Use cloud storage
space more efficiently
Share data across
different clouds with
one click
Secure storage
for your privacy
sensitive data
Seamlessly
virtualize and
optimize all your
cloud storages
15
16. Customer archetypes (Week 9, 30+ interviews)
“Prosumer” Amy
• Laptop, iPhone 6s, iPad, desktop,
and DSLR camera
• Private data backed up on external
HDD
• Other data baked up on desktop
• Photos on iPhone are synced to
Google Photo
• > 16MP photos, > 1080p videos are
manually backed up
“Data Governor” Alex
• Millennial, young professional
• Father in a family with 3-4 phones, 1
tablet, 1-2 laptops, and 1 family desktop
• Stores his family’s data in the family
desktop
• > 100GB of pictures
• ~ 10GB of work documents
• ~ 500MB of private data (financial
documents, private photos, …)
16
17. Organize data across
clouds through common
interface
Final MVP, week 10
Use cloud storage space
more efficiently
Share data across
different clouds with one
click
17
Simplicity and intuitiveness of the product
= key value for customers
18. GET:
Advertisements,
Education,
Blogging (and
other soft PR)
KEEP: User
friendly UI/UX
GROW: Referrals,
Added services
SW development
Tech. experts
SW engineers
Customer
development and
sales experts
Cloud providers
Influential
bloggers and
media
Kloudless
SW development
and support
Hosting/office
infrastructure
Customer
acquisition
Legal/accounting
Upfront SW price Subscription
Our website
App stores
Referrals
UI/UX
development
Education
Marketing
UI/UX designers
Access private data
from any of user's
devices
Not lose private data
Save time for
securing/backing-up
private data
Young
professionals and
graduate
students, who
have sensitive
data and data
they don't want to
lose, use 2+
devices and 1+
cloud accounts
Young
professionals and
graduate students,
who use multiple
cloud services
who value their
time
Organize data across
multiple clouds through
common interface
Use cloud storage
space more efficiently
Share data across
different clouds with
one click
Latest canvas (week 10)
18
19. GET:
Advertisements,
Education,
Blogging (and
other soft PR)
KEEP: User
friendly UI/UX
GROW: Referrals,
Added services
SW development
Tech. experts
SW engineers
Customer
development and
sales experts
Cloud providers
Influential
bloggers and
media
Kloudless
SW development
and support
Hosting/office
infrastructure
Customer
acquisition
Legal/accounting
Upfront SW price Subscription
Our website
App stores
Referrals
UI/UX
development
Education
Marketing
UI/UX designers
Access private data
from any of user's
devices
Not lose private data
Save time for
securing/backing-up
private data
Young
professionals and
graduate
students, who
have sensitive
data and data
they don't want to
lose, use 2+
devices and 1+
cloud accounts
Young
professionals and
graduate students,
who use multiple
cloud services
who value their
time
Organize data across
multiple clouds through
common interface
Use cloud storage
space more efficiently
Share data across
different clouds with
one click
Major changes (week 10)
Bloggers and
media
API provider
Key partners Customer Relations
Soft PR
Intuitive
UI/UX
19
20. Next Steps:
Consumer market:
1. Conduct more
interviews to get more data
/ narrow the segments
2. Create an “experience”
MVP to validate UI/UX
hypotheses
From the interviews:
CAC >> willingness
to pay
Explore consumer
space further:
From expert interviews:
“Our study showed that consumers don’t really
care so much about privacy of their data.”
“These are not strong enough pain points where
consumers will stick to a service.”
Are we the right team to tackle the consumer space?
20
21. Encloud
How teaching staffs see us
How my friends see us
How customers see
us
How academia sees us
How we see ourselves
saw
24. GET:
Advertisements
KEEP: Product
updates
GROW: Referrals,
Added services
SW development
Tech. experts
SW engineers
Customer
development and
sales experts
Cloud providers
SW development
and support
Customer acquisition Upfront SW price
Our website
App stores
Referrals
Marketing
Access private data
from any of user's
devices
Not lose private data
Save time for
securing/backing-up
private data
Young
professionals and
graduate students,
who have sensitive
data and data they
don't want to lose,
use 2+ devices
and 1+ cloud
accounts
Young
professionals and
graduate students,
who use multiple
cloud services who
value their time
Organize data across
multiple clouds through
common interface
Use cloud storage space
more efficiently
24
25. Here’s what we learned (UI/UX, Partner)
Lesson. Not technology, but UI/UX
are the most important factor when
people decide to choose a cloud
storage service.
Lesson. People love to sync/back-
up data ‘in-place’.
Lesson. Found a good partner
‘Kloudless’ that can save
development cost/time
25