Mujin executed a management buyout and debt financing to raise capital for its growth while maintaining management control and lowering costs. The management buyout allowed Mujin's leadership team to gain majority ownership, securing long-term decision making power. Additionally, Mujin obtained a 7.5 billion yen loan through debt financing at a low interest rate, providing cheaper capital than traditional equity financing for startups. This dual strategy enabled Mujin to fund expansion plans while minimizing ownership dilution and keeping strategic autonomy.
Migrating your traditional Data Warehouse to a Modern Data LakeAmazon Web Services
In this session, we discuss the latest features of Amazon Redshift and Redshift Spectrum, and take a deep dive into its architecture and inner workings. We share many of the recent availability, performance, and management enhancements and how they improve your end user experience. You also hear from 21st Century Fox, who presents a case study of their fast migration from an on-premises data warehouse to Amazon Redshift. Learn how they are expanding their data warehouse to a data lake that encompasses multiple data sources and data formats. This architecture helps them tie together siloed business units and get actionable 360-degree insights across their consumer base.
Cloud adoption continues to gain momentum, but organizations are finding limited success in their cloud migrations to date. The reason? Poor organizational planning and inaccurate cost estimates during discovery and planning can stymie success before the migration even begins. Organizations must re-evaluate what they are doing before they begin their migration, or success may prove elusive during it.
This CloudHealth Technologies-commissioned profile of US IT decision makers at firms that are currently migrating or have migrated workloads to public cloud platforms investigates common strategies and challenges associated with public cloud migration in order to identify what organizations can do during discovery and planning to ensure a successful migration.
Read the full report here: http://go.cloudhealthtech.com/17q2_wp_due-diligence-cornerstone-public-cloud-migration-success.html
In this session, we show you how to understand what data you have, how to drive insights, and how to make predictions using purpose-built AWS services. Learn about the common pitfalls of building data lakes and discover how to successfully drive analytics and insights from your data. Also learn how services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon Machine Learning (Amazon ML) services work together to build a successful data lake for various roles, including data scientists and business users.
This session is for RPA Developers Business Analysts, and/or Data Analysts looking to learn how to call UiPath robots from within Alteryx Designer, or to extend your UiPath workflows into the Alteryx analytics platform. You'll learn key concepts and understand the specific steps needed to make UiPath and Alteryx work seamlessly together, and see real-world examples of combined solutions in action. The session will be conducted by experts from both Alteryx and UiPath, who will be glad to answer questions and discuss lessons learned while working with both platforms hands-on.
During the meetup we'll cover:
How UiPath and Alteryx integrate
How to interact with Alteryx data using UiPath robots
How to trigger a UiPath robot and take action from within Alteryx Designer
How to bring in data from websites, mainframes, and other data sources that have no APIs
Example use cases and demos
Migrating your traditional Data Warehouse to a Modern Data LakeAmazon Web Services
In this session, we discuss the latest features of Amazon Redshift and Redshift Spectrum, and take a deep dive into its architecture and inner workings. We share many of the recent availability, performance, and management enhancements and how they improve your end user experience. You also hear from 21st Century Fox, who presents a case study of their fast migration from an on-premises data warehouse to Amazon Redshift. Learn how they are expanding their data warehouse to a data lake that encompasses multiple data sources and data formats. This architecture helps them tie together siloed business units and get actionable 360-degree insights across their consumer base.
Cloud adoption continues to gain momentum, but organizations are finding limited success in their cloud migrations to date. The reason? Poor organizational planning and inaccurate cost estimates during discovery and planning can stymie success before the migration even begins. Organizations must re-evaluate what they are doing before they begin their migration, or success may prove elusive during it.
This CloudHealth Technologies-commissioned profile of US IT decision makers at firms that are currently migrating or have migrated workloads to public cloud platforms investigates common strategies and challenges associated with public cloud migration in order to identify what organizations can do during discovery and planning to ensure a successful migration.
Read the full report here: http://go.cloudhealthtech.com/17q2_wp_due-diligence-cornerstone-public-cloud-migration-success.html
In this session, we show you how to understand what data you have, how to drive insights, and how to make predictions using purpose-built AWS services. Learn about the common pitfalls of building data lakes and discover how to successfully drive analytics and insights from your data. Also learn how services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, Amazon EMR, Amazon Kinesis, and Amazon Machine Learning (Amazon ML) services work together to build a successful data lake for various roles, including data scientists and business users.
This session is for RPA Developers Business Analysts, and/or Data Analysts looking to learn how to call UiPath robots from within Alteryx Designer, or to extend your UiPath workflows into the Alteryx analytics platform. You'll learn key concepts and understand the specific steps needed to make UiPath and Alteryx work seamlessly together, and see real-world examples of combined solutions in action. The session will be conducted by experts from both Alteryx and UiPath, who will be glad to answer questions and discuss lessons learned while working with both platforms hands-on.
During the meetup we'll cover:
How UiPath and Alteryx integrate
How to interact with Alteryx data using UiPath robots
How to trigger a UiPath robot and take action from within Alteryx Designer
How to bring in data from websites, mainframes, and other data sources that have no APIs
Example use cases and demos
AWS provides a broad platform of managed services to help you build, secure, and seamlessly scale end-to-end Big Data applications quickly and with ease. Want to get ramped up on how to use Amazon's big data web services? Learn when to use which service? Want to write your first big data application on AWS? Join us in this session as we discuss reference architecture, design patterns, and best practices for pulling together various AWS services to meet your big data challenges.
Streaming ETL for Data Lakes using Amazon Kinesis Firehose - May 2017 AWS Onl...Amazon Web Services
Learning Objectives:
- Understand key requirements for collecting, preparing, and loading streaming data into data lakes
- Get an overview of transmitting data using Amazon Kinesis Firehose
- Learn how to perform data transformations with Amazon Kinesis Firehose
Data lakes enable your employees across the organization to access and analyze massive amounts of unstructured and structured data from disparate data sources, many of which generate data continuously and rapidly. Making this data available in a timely fashion for analysis requires a streaming solution that can durably and cost-effectively ingest this data into your data lake. Amazon Kinesis Firehose is a fully managed service that makes it easy to prepare and load streaming data into AWS. In this tech talk, we will provide an overview of Amazon Kinesis Firehose and dive deep into how you can use the service to collect, transform, batch, compress, and load real-time streaming data into your Amazon S3 data lakes.
The Alteryx Designer solves this by delivering an intuitive workflow for data blending and advanced analytics that leads to deeper insights in hours, not the weeks typical of traditional approaches! The Alteryx Designer empowers data analysts by combining data blending, predictive analytics, spatial analytics, and reporting, visualization and analytic apps into one workflow.
Data Migration Strategies Powerpoint Presentation SlidesSlideTeam
“You can download this product from SlideTeam.net”
Data migration is a key consideration of any system implementation. Discuss the data transfer plans with this content ready Data Migration Strategies PowerPoint Presentation Slides. Data transformation plan PowerPoint complete deck is a systematic presentation which includes PPT slides such as data migration approach, steps, a simplified illustration of data migration steps, lifecycle, process, data migration on the cloud, and many more. Besides this, data transfer plan PPT slides are apt to present related concepts like data conversion, data curation, data preservation, system migration to name a few. The content ready information transfer PPT visuals are fully editable. You can modify, color, text, and font size. It has relevant templates to cater to your business needs. Outline all the important concepts without any hassle. Showcase the process of selecting, preparing, extracting and transforming data using this professionally designed information migration plan presentation design. https://bit.ly/3DeYyQQ
거의 모든 산업에서 오늘날의 시장 리더와 혁신을 꿈꾸는 이들에게는 한 가지 공통점이 있습니다. 바로 데이터를 운영의 중심에 두는 것입니다. 클라우드에서 태어난 젊은 기업들은 데이터를 기반으로 비즈니스 를 구축하여 성장시키고, 기존 엔터프라이즈 기업은 데이터를 신속하게 수집, 분석 및 공유하는 과정에서 귀중한 통찰력을 얻기 위해 노력합니다. 본 세션에서는 데이터의 무한한 가치를 실현시킬 차세대 데이터 플랫폼 Snowflake를 소개하고, 이를 통해 눈부신 혁신을 이룬 기업들의 성공사례에 대해 알아봅니다.
Join our webinar to learn how VMware Cloud on AWS helps simplify and accelerate the migration process. Not only will you see demos of different cloud migration scenarios in action, but you will also hear about customers' cloud migration experience with VMware Cloud on AWS.
The benefits of running databases in the cloud are compelling but how do you get the data there? In this session we will explore how to use the AWS Database Migration Service and the AWS Schema Conversion Tool to help you to migrate, or continuously replicate, your on-premise databases to AWS.
Speaker: Jarrod Spiga, Solutions Architect, Amazon Web Services
발표영상 다시보기: https://youtu.be/eQjkwhyOOmI
대규모 데이터 레이크 구성 및 관리는 복잡하고 시간이 많이 걸리는 작업입니다. AWS Lake Formation은 수일만에 안전한 데이터 레이크를 구성할 수 있는 완전 관리 서비스입니다. 본 세션에서는 데이터 수집, 분류, 정리, 변환 및 보안을 위해 AWS Lake Formation을 통해 Amazon S3, EMR, Redshift 및 Athena와 같은 분석 도구를 쉽게 구성하는 방법을 알아봅니다. (2019년 11월 서울 리전 출시)
AWS delivers an integrated suite of services that provide everything needed to quickly and easily build and manage a data lake for analytics. AWS-powered data lakes can handle the scale, agility, and flexibility required to combine different types of data and analytics approaches to gain deeper insights, in ways that traditional data silos and data warehouses cannot. In this session, we will show you how you can quickly build a data lake on AWS that ingests, catalogs and processes incoming data and makes it ready for analysis. Using a live demo, we demonstrate the capabilities of AWS provided analytical services such as AWS Glue, Amazon Athena and Amazon EMR and how to build a Data Lake on AWS step-by-step.
Learn how AWS customers save money, time, and effort by using AWS's backup and archive services. Organizations of all sizes rely on AWS's services to durably safeguard their data off-premises at a surprisingly low cost. This session will illustrate backup and archive architectures that AWS customers are benefitting from today.
In this session from the London AWS Summit 2015 Tech Track Replay, AWS Technical Evangelist Ian Massingham introduces the new Amazon Machine Learning service.
Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning provides visualization tools and wizards that guide you through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology. Once your models are ready, Amazon Machine Learning makes it easy to obtain predictions for your application using simple APIs, without having to implement custom prediction generation code, or manage any infrastructure.
Big Data Analytics Architectural Patterns and Best Practices (ANT201-R1) - AW...Amazon Web Services
In this session, we discuss architectural principles that helps simplify big data analytics.
We'll apply principles to various stages of big data processing: collect, store, process, analyze, and visualize. We'll disucss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on.
Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
Data Centre Relocation PowerPoint Presentation SlidesSlideTeam
Enhance your audiences knowledge with this well researched complete deck. Showcase all the important features of the deck with perfect visuals. This deck comprises of total of twentysix slides with each slide explained in detail. Each template comprises of professional diagrams and layouts. Our professional PowerPoint experts have also included icons, graphs and charts for your convenience. All you have to do is DOWNLOAD the deck. Make changes as per the requirement. Yes, these PPT slides are completely customizable. Edit the colour, text and font size. Add or delete the content from the slide. And leave your audience awestruck with the professionally designed Data Centre Relocation Powerpoint Presentation Slides complete deck.
HL Mando는 차량 동력 및 안정성 확보에 필요한 샤시 부품을 개발하는 글로벌 차량 부품 전문 기업으로, 최근에는 Mobility 솔루션까지 개발하며 종합 Automotive 회사로 거듭나고 있습니다. HL Mando가 8주 만에 커넥티드 모빌리티 기술을 통해 차량에서 발생하는 대량의 실시간 데이터를 안정적으로 수집하고 활용할 수 있었는지에 대한 사례와 함께, AWS IoT Fleetwise를 활용한 차량 데이터 관리 플랫폼의 미래를 제시합니다.
Migrating Oracle to Aurora PostgreSQL Utilizing AWS Database Migration Servic...Amazon Web Services
Appriss creates actionable information and insights gained from their data and analytics solutions, their customers are able to more effectively save lives, mitigate fraud, and reduce risk. They call it “knowledge for good”. One of the many challenges facing Appriss was how to migrate a multi-terabyte Oracle database from one of their own data centers into AWS with minimal disruption to their applications and customers while reducing cost and not sacrificing security, availability, and reliability. This session provides an overview and demo of Aurora PostgreSQL and AWS Database Migration Service (DMS) as Appriss discusses their primary drivers for choosing the combination, preparation, challenges faced throughout the process, results, and future plans.
Основы создания витрин данных - создание схемы звезда и снежинкаSergey Sukharev
Краткий курс посвященный основам моделирования хранилищ данных, построенных по классической схеме - звезда или снежинка (Dimensional Modeling). Дает представление в целом об архитектурах хранилищ данных и их компонентах.
"Conceptually, a data lake is a flat data store to collect data in its original form, without the need to enforce a predefined schema. Instead, new schemas or views are created “on demand”, providing a far more agile and flexible architecture while enabling new types of analytical insights. AWS provides many of the building blocks required to help organizations implement a data lake. In this session, we will introduce key concepts for a data lake and present aspects related to its implementation. We will discuss critical success factors, pitfalls to avoid as well as operational aspects such as security, governance, search, indexing and metadata management. We will also provide insight on how AWS enables a data lake architecture.
A data lake is a flat data store to collect data in its original form, without the need to enforce a predefined schema. Instead, new schemas or views are created ""on demand"", providing a far more agile and flexible architecture while enabling new types of analytical insights. AWS provides many of the building blocks required to help organizations implement a data lake. In this session, we introduce key concepts for a data lake and present aspects related to its implementation. We discuss critical success factors and pitfalls to avoid, as well as operational aspects such as security, governance, search, indexing, and metadata management. We also provide insight on how AWS enables a data lake architecture. Attendees get practical tips and recommendations to get started with their data lake implementations on AWS."
Robotic Process Automation PowerPoint Presentation Slides SlideTeam
Use Robotic Process Automation PowerPoint Presentation Slides for your business to handle high volume tasks that earlier required manpower. Perform various tasks such as queries, calculations, maintenance of records and transactions and more with the help of robotic process automation PPT presentation slideshow. Use ready-made robotic process automation PowerPoint presentation templates for better customer service, business operations, improved digitization, cost savings, enabling employees to be more productive. This deck comprises of templates such as robotic process automation steps, robotic process automation spectrum, robotic process automation challenges & solutions, drivers for robotic process automation, etc. These templates are completely customizable. Edit color, text, icon, and font size as per your need. Add your own content and use this presentation for your benefit. Download easy-to-understand robotic process automation complete PowerPoint presentation deck and perform tasks that normally require human intervention and intelligence. Our Robotic Process Automation Powerpoint Presentation Slides are a haven for great ideas. They develop in a beautiful fashion.
AWS provides a broad platform of managed services to help you build, secure, and seamlessly scale end-to-end Big Data applications quickly and with ease. Want to get ramped up on how to use Amazon's big data web services? Learn when to use which service? Want to write your first big data application on AWS? Join us in this session as we discuss reference architecture, design patterns, and best practices for pulling together various AWS services to meet your big data challenges.
Streaming ETL for Data Lakes using Amazon Kinesis Firehose - May 2017 AWS Onl...Amazon Web Services
Learning Objectives:
- Understand key requirements for collecting, preparing, and loading streaming data into data lakes
- Get an overview of transmitting data using Amazon Kinesis Firehose
- Learn how to perform data transformations with Amazon Kinesis Firehose
Data lakes enable your employees across the organization to access and analyze massive amounts of unstructured and structured data from disparate data sources, many of which generate data continuously and rapidly. Making this data available in a timely fashion for analysis requires a streaming solution that can durably and cost-effectively ingest this data into your data lake. Amazon Kinesis Firehose is a fully managed service that makes it easy to prepare and load streaming data into AWS. In this tech talk, we will provide an overview of Amazon Kinesis Firehose and dive deep into how you can use the service to collect, transform, batch, compress, and load real-time streaming data into your Amazon S3 data lakes.
The Alteryx Designer solves this by delivering an intuitive workflow for data blending and advanced analytics that leads to deeper insights in hours, not the weeks typical of traditional approaches! The Alteryx Designer empowers data analysts by combining data blending, predictive analytics, spatial analytics, and reporting, visualization and analytic apps into one workflow.
Data Migration Strategies Powerpoint Presentation SlidesSlideTeam
“You can download this product from SlideTeam.net”
Data migration is a key consideration of any system implementation. Discuss the data transfer plans with this content ready Data Migration Strategies PowerPoint Presentation Slides. Data transformation plan PowerPoint complete deck is a systematic presentation which includes PPT slides such as data migration approach, steps, a simplified illustration of data migration steps, lifecycle, process, data migration on the cloud, and many more. Besides this, data transfer plan PPT slides are apt to present related concepts like data conversion, data curation, data preservation, system migration to name a few. The content ready information transfer PPT visuals are fully editable. You can modify, color, text, and font size. It has relevant templates to cater to your business needs. Outline all the important concepts without any hassle. Showcase the process of selecting, preparing, extracting and transforming data using this professionally designed information migration plan presentation design. https://bit.ly/3DeYyQQ
거의 모든 산업에서 오늘날의 시장 리더와 혁신을 꿈꾸는 이들에게는 한 가지 공통점이 있습니다. 바로 데이터를 운영의 중심에 두는 것입니다. 클라우드에서 태어난 젊은 기업들은 데이터를 기반으로 비즈니스 를 구축하여 성장시키고, 기존 엔터프라이즈 기업은 데이터를 신속하게 수집, 분석 및 공유하는 과정에서 귀중한 통찰력을 얻기 위해 노력합니다. 본 세션에서는 데이터의 무한한 가치를 실현시킬 차세대 데이터 플랫폼 Snowflake를 소개하고, 이를 통해 눈부신 혁신을 이룬 기업들의 성공사례에 대해 알아봅니다.
Join our webinar to learn how VMware Cloud on AWS helps simplify and accelerate the migration process. Not only will you see demos of different cloud migration scenarios in action, but you will also hear about customers' cloud migration experience with VMware Cloud on AWS.
The benefits of running databases in the cloud are compelling but how do you get the data there? In this session we will explore how to use the AWS Database Migration Service and the AWS Schema Conversion Tool to help you to migrate, or continuously replicate, your on-premise databases to AWS.
Speaker: Jarrod Spiga, Solutions Architect, Amazon Web Services
발표영상 다시보기: https://youtu.be/eQjkwhyOOmI
대규모 데이터 레이크 구성 및 관리는 복잡하고 시간이 많이 걸리는 작업입니다. AWS Lake Formation은 수일만에 안전한 데이터 레이크를 구성할 수 있는 완전 관리 서비스입니다. 본 세션에서는 데이터 수집, 분류, 정리, 변환 및 보안을 위해 AWS Lake Formation을 통해 Amazon S3, EMR, Redshift 및 Athena와 같은 분석 도구를 쉽게 구성하는 방법을 알아봅니다. (2019년 11월 서울 리전 출시)
AWS delivers an integrated suite of services that provide everything needed to quickly and easily build and manage a data lake for analytics. AWS-powered data lakes can handle the scale, agility, and flexibility required to combine different types of data and analytics approaches to gain deeper insights, in ways that traditional data silos and data warehouses cannot. In this session, we will show you how you can quickly build a data lake on AWS that ingests, catalogs and processes incoming data and makes it ready for analysis. Using a live demo, we demonstrate the capabilities of AWS provided analytical services such as AWS Glue, Amazon Athena and Amazon EMR and how to build a Data Lake on AWS step-by-step.
Learn how AWS customers save money, time, and effort by using AWS's backup and archive services. Organizations of all sizes rely on AWS's services to durably safeguard their data off-premises at a surprisingly low cost. This session will illustrate backup and archive architectures that AWS customers are benefitting from today.
In this session from the London AWS Summit 2015 Tech Track Replay, AWS Technical Evangelist Ian Massingham introduces the new Amazon Machine Learning service.
Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology. Amazon Machine Learning provides visualization tools and wizards that guide you through the process of creating machine learning (ML) models without having to learn complex ML algorithms and technology. Once your models are ready, Amazon Machine Learning makes it easy to obtain predictions for your application using simple APIs, without having to implement custom prediction generation code, or manage any infrastructure.
Big Data Analytics Architectural Patterns and Best Practices (ANT201-R1) - AW...Amazon Web Services
In this session, we discuss architectural principles that helps simplify big data analytics.
We'll apply principles to various stages of big data processing: collect, store, process, analyze, and visualize. We'll disucss how to choose the right technology in each stage based on criteria such as data structure, query latency, cost, request rate, item size, data volume, durability, and so on.
Finally, we provide reference architectures, design patterns, and best practices for assembling these technologies to solve your big data problems at the right cost.
Data Centre Relocation PowerPoint Presentation SlidesSlideTeam
Enhance your audiences knowledge with this well researched complete deck. Showcase all the important features of the deck with perfect visuals. This deck comprises of total of twentysix slides with each slide explained in detail. Each template comprises of professional diagrams and layouts. Our professional PowerPoint experts have also included icons, graphs and charts for your convenience. All you have to do is DOWNLOAD the deck. Make changes as per the requirement. Yes, these PPT slides are completely customizable. Edit the colour, text and font size. Add or delete the content from the slide. And leave your audience awestruck with the professionally designed Data Centre Relocation Powerpoint Presentation Slides complete deck.
HL Mando는 차량 동력 및 안정성 확보에 필요한 샤시 부품을 개발하는 글로벌 차량 부품 전문 기업으로, 최근에는 Mobility 솔루션까지 개발하며 종합 Automotive 회사로 거듭나고 있습니다. HL Mando가 8주 만에 커넥티드 모빌리티 기술을 통해 차량에서 발생하는 대량의 실시간 데이터를 안정적으로 수집하고 활용할 수 있었는지에 대한 사례와 함께, AWS IoT Fleetwise를 활용한 차량 데이터 관리 플랫폼의 미래를 제시합니다.
Migrating Oracle to Aurora PostgreSQL Utilizing AWS Database Migration Servic...Amazon Web Services
Appriss creates actionable information and insights gained from their data and analytics solutions, their customers are able to more effectively save lives, mitigate fraud, and reduce risk. They call it “knowledge for good”. One of the many challenges facing Appriss was how to migrate a multi-terabyte Oracle database from one of their own data centers into AWS with minimal disruption to their applications and customers while reducing cost and not sacrificing security, availability, and reliability. This session provides an overview and demo of Aurora PostgreSQL and AWS Database Migration Service (DMS) as Appriss discusses their primary drivers for choosing the combination, preparation, challenges faced throughout the process, results, and future plans.
Основы создания витрин данных - создание схемы звезда и снежинкаSergey Sukharev
Краткий курс посвященный основам моделирования хранилищ данных, построенных по классической схеме - звезда или снежинка (Dimensional Modeling). Дает представление в целом об архитектурах хранилищ данных и их компонентах.
"Conceptually, a data lake is a flat data store to collect data in its original form, without the need to enforce a predefined schema. Instead, new schemas or views are created “on demand”, providing a far more agile and flexible architecture while enabling new types of analytical insights. AWS provides many of the building blocks required to help organizations implement a data lake. In this session, we will introduce key concepts for a data lake and present aspects related to its implementation. We will discuss critical success factors, pitfalls to avoid as well as operational aspects such as security, governance, search, indexing and metadata management. We will also provide insight on how AWS enables a data lake architecture.
A data lake is a flat data store to collect data in its original form, without the need to enforce a predefined schema. Instead, new schemas or views are created ""on demand"", providing a far more agile and flexible architecture while enabling new types of analytical insights. AWS provides many of the building blocks required to help organizations implement a data lake. In this session, we introduce key concepts for a data lake and present aspects related to its implementation. We discuss critical success factors and pitfalls to avoid, as well as operational aspects such as security, governance, search, indexing, and metadata management. We also provide insight on how AWS enables a data lake architecture. Attendees get practical tips and recommendations to get started with their data lake implementations on AWS."
Robotic Process Automation PowerPoint Presentation Slides SlideTeam
Use Robotic Process Automation PowerPoint Presentation Slides for your business to handle high volume tasks that earlier required manpower. Perform various tasks such as queries, calculations, maintenance of records and transactions and more with the help of robotic process automation PPT presentation slideshow. Use ready-made robotic process automation PowerPoint presentation templates for better customer service, business operations, improved digitization, cost savings, enabling employees to be more productive. This deck comprises of templates such as robotic process automation steps, robotic process automation spectrum, robotic process automation challenges & solutions, drivers for robotic process automation, etc. These templates are completely customizable. Edit color, text, icon, and font size as per your need. Add your own content and use this presentation for your benefit. Download easy-to-understand robotic process automation complete PowerPoint presentation deck and perform tasks that normally require human intervention and intelligence. Our Robotic Process Automation Powerpoint Presentation Slides are a haven for great ideas. They develop in a beautiful fashion.
Campus Recruitment program for Engineering students ...Pompeii Connect
“Pompeiify” is an initiative taken by Pompeii™ connect. It’s a 3 months paid Special Module IT Training Program and a certification systems through which company trained students based on today’s technologies.On successfully completion of the Pompeiify Special Module Training Program, candidate are able to appear for Pompeii™ connect 2nd phase recruitment round, where eligible talented candidates absorb at Pompeii™ in the permanent cadre of the company
The 20 Best-Performing CEOs To Watch Out For In 2019Mirror Review
The technological breakthroughs have taken the business world a step ahead; shifting from older technologies, each aspect of the industries is changing the way it functions. Though innovations and technological changes allure to some, the majority of business entrepreneurs prefer the traditional machinery.
0601010 market research on advertising and brand image Supa Buoy
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2. Table of contents
Mujin’s financial strategy for early 2019
About our business1
About financial strategy2
About recruitment3
Mujin, Inc.
3. Mujin is an “intelligent” industrial robot controller maker
Corporate Mission
“Automate robots with software systems
to increase worldwide productivity”
Business FinanceAbout our business Recruitment
Mujin, Inc.
4. Company profile
CTO and co-founder
Dr. Rosen Diankov
Diankov is a robotics engineer from the USA. He studied
computer science and artificial intelligence in high school, and
acquired his PhD with the thesis “Automated Construction of
Robotic Manipulation Programs” from the Robotics Institute at
Carnegie Mellon University. After graduation, he co-founded Mujin
in Japan in 2011.
CEO and co-founder
Issei Takino
Issei was born in 1984 in Osaka, Japan. In 2011, he established
Mujin with the world-famous robot engineering expert Dr. Rosen.
Before establishing Mujin, he worked for ISCAR Co. Ltd, the
world’s most profitable manufacturing company; he has a shining
record of achievements, including many awards for his technical
solution sales activities proposing manufacturing processes.
Corporate Name
Founder
Business
Establishment
Number of Employees
Mujin, Inc.
CEO Issei Takino / CTO Rosen Diankov
Intelligent robot controller development and sales
Robot system integration
6th July 2011
90 (March 2019)
Mujin, Inc.
Founder profile
About our business Business Finance Recruitment
5. Why intelligent robot controllers
for industrial robots...?
Business Finance Recruitment
Mujin, Inc.
About our business
6. Japan’s logistics workforce continues to shrink by 1% a year
2010
100
200
300
400
2020 2030 2040 2050 (year)
(x10,000 people)
Gap is widening
Workforce demand
Workforce supply
Source: Estimate by Ports and Harbours Bureau, Ministry of Land Infrastructure, Transport and Tourism, Survey report on securing workforce to match the sophistication of logistics systems. Japan Transport and Tourism Research Institute.
Business Finance Recruitment
Mujin, Inc.
About our business
7. Hence, higher productivity must be achieved
with limited workforce.
Advanced industrial robots will become essential in the next era
Business Finance Recruitment
Mujin, Inc.
About our business
8. What are industrial robots?
Industrial robots can dramatically improve productivity!!
Robot armController
Teaching
HardwareSoftware
High speed
High precision
24-hour
non-stop operation
Business Finance Recruitment
Mujin, Inc.
Send Trajectory
About our business
9. But, the current industrial robot adoption rate is very low…
Why aren't robots more popular?
1 : 100
Average adoption rate:
robots/workers
Business Finance Recruitment
Mujin, Inc.Source: NIKKAN KOGYO SHIMBUN,LTD. Newswitch https://newswitch.jp/p/10359
About our business
10. Three major challenges of industrial robot adoption
Business Finance RecruitmentAbout our business
11. Business Finance Recruitment
Problem 1: Different interfaces at every robot manufacturers
Mujin, Inc.
A’s programming language
A’s applications
A’s software
B’s programming language
B’s applications
B’s software
C’s programming language
C’s applications
C’s software
Hardware is almost same though...
Manufacturer A Manufacturer B Manufacturer C
A user must learn a new operating method for every manufacturer.
About our business
12. Business Finance Recruitment
Problem 2: Robot manipulation is very difficult and complex
X Y Z
X Y Z
0001 001 MOVJ
0002 002 MOVL
X Y Z
X Y Z
X Y Z
X Y Z
X Y Z
X Y Z
0001 001 MOVJ
0002 002 MOVL
0003 ARCOF
0004 003 MOVJ
0005 004 ARCOF
0006 005 MOVJ
X Y Z
X Y Z
X Y Z
X Y Z
0003 ARCOF
0004 003 MOVJ
0005 004 ARCOF
0006 005 MOVJ
Robotic arm movements must be programmed (teaching), movement by movement,
by using a control board that is heavily text-oriented and very difficult to use…
Teaching only can be done by professionals
Mujin, Inc.
About our business
13. ・3D vison
・Torque sensor
・Barcode reader
・Conveyor etc.
Business Finance Recruitment
Mujin, Inc.
Problem 3: Even harder to achieve advanced sensing and motion
Robot professionals can achieve complex integration with advanced sensing and motion is even more limited...
Simple robot manipulation is already hard to achieve...
Robots must be associated with other devices,
like sensors, which is more difficult…
In order to use robots
in real environment
About our business
14. Business Finance Recruitment
Mujin, Inc.
2. Teaching is very difficult and complex Robot controller is difficult to operate
1. Different interfaces at each manufacturer Robot controller is not universal
3. Advanced sensing and motion is difficult Robot controller is difficult to develop intelligence
About our business
Therefore, the common points of the three major problems are as follows;
These problems lie in the robot controllers’ abilities
15. Business Finance Recruitment
Mujin, Inc.
Universal & Intelligent robot controller is necessary
All three problems are software problems
Robot arm
Hardware
Controller
Software
About our business
Unfortunately, there are no such products on the market
16. Easy sensor integrationTeachless(motion planning)Work with any robot
MUJIN Controller
Rise of the intelligent robot controller
Software
Business Finance Recruitment
Mujin, Inc.
About our business
17. Unify robot UI/UX
Make robots intelligent
Robot manufacturer s
controller
Motor driver
Robot manufacturer’s
software
MUJIN 3D Vision MUJIN Controller
Business Finance Recruitment
Mujin, Inc.
First in the industry!
Intelligent Intelligent Intelligent Intelligent Intelligent Intelligent Intelligent
About our business
Under one intelligent controller, no teaching required
18. Business Finance Recruitment
Mujin’s technologies make industrial robots intelligent
Motion planning
The Mujin Motion Planning Framework makes it
possible to execute optimal robot motions that
follow complex application-defined constraints like
collision avoidance, motor dynamics, kinematics,
tool orientation, and grasp selection without any
manual teaching.
The first in the world to commercialize motion planning in industrial robotics
Mujin, Inc.
About our business
19. Mujin's three major focus areas for intelligent controllers
Factory Automation Solutions Logistics Solutions Controller OEM Solutions
MUJIN Controller
Motion Planning
Advanced Intelligence
Business Finance Recruitment
Mujin, Inc.
About our business
20. - Delivered dozens of our robot solutions for JD.com, an e-commerce giant in China
- Helped JD.com’s large logistics center to be completely automated
- Realized cutting-edge automation technologies required by JD.com in short-terms
Case study 1
Mujin contributed to create the world's first completely
automated distribution center
Mujin, Inc.
Business Finance Recruitment
An e-commerce giant in China
About our business
21. Business Finance Recruitment
- Employed Mujin’s robot solutions for the next generation logistics center
to resolve lack of labor force
- Realized robot case picking at 600 case/h*, the world fastest figure
- Fully eliminated high workload operation for human by handling
several thousands of items
Mujin, Inc.
Mujin’s four intelligent robot solutions realized
completely automated case picking
Case study 2
One of the largest daily goods wholesale in Japan
About our business
*Source: PALTAC CORPORATION official website
22. Muijn’s robot solution automated a difficult process
and realized significant labor saving
Business Finance Recruitment
- Picked complex shaped products placed in a tall box
- Placed picked products on a jig in a designated orientation for the next process
- After introduction, required labor force became about one fourth
Mujin, Inc.
Case study 3
One of the top bulb manufacturers in Japan
About our business
23. We want to contribute to society
by accelerating this wave of automation by intelligent robots
To achieve our vision, we need major funding!
However, cost of equity is usually high for fast-growing companies
Business FinanceAbout financial strategy Recruitment
Mujin, Inc.
24. Funding usually comes in two forms
1. Bank loan
(debt)
2. New share offering
(equity)
OR
Business Finance Recruitment
Mujin, Inc.
About financial strategy
25. Maintain management rights and lower cost of capital
Low profitability and low equity ratios give start-ups low credit ratings
Start of business Series A Series B Series C IPO
Seed
Market analysis and
prototype development
Early
Prototype improvement
Middle
Product and sales launch
Later
Expanding deficits due to advance
investment in business expantion
Listed
Becoming profitable
and profit growth
*Profit
Venture financing stages and profitability
Deficit
1. Debt
Major debt financing is almost impossible for start-ups
Start-up
Business Finance Recruitment
Mujin, Inc.
About financial strategy
26. Start of business Series A Series B Series C IPO
Shareholding ratio
100%
75%
50%
25%
0%
IPO
Series C
Series B
Series A
Management/
Employee
Exchange stocks and money, no need to repay2. Equity
Even though the more investors increase,
the higher risk of equity dilution, decision making for short-term profit, and high cost of capital burden start-ups could
have, it is possible to raise money in exchange with promising stocks.
Equity financing is almost the only option of major funding for start-ups
Business Finance Recruitment
Mujin, Inc.
Management
Employee Management
Employee Management
Employee Management
Employee Management
Employee
About financial strategy
27. ⑤Business/organization
growth①Need funding
④Equity financing
⑤Business/organization
growth①Need funding
②Low credit rating
Funding system for start-ups
④Equity financing
②Low credit rating
③Debt financing is
not available
④Equity financing
⑤Business/organization
growth①Need funding
②Low credit rating
③Debt financing is
not available
Series A
Series B
Series C
Equity dilution, decision making based on short-term profitability,and high cost of capital
③Debt financing is
not available
RecruitmentBusiness Finance Recruitment
Mujin, Inc.
About financial strategy
28. What if we could perform a financial strategy which can satisfy following
Major Funding Lower cost of capitalMaintain management rights
RecruitmentBusiness Finance Recruitment
Mujin, Inc.
About financial strategy
29. Mujin executed two major actions
to achieve a capital structure meeting all of our goals
RecruitmentBusiness Finance Recruitment
Mujin, Inc.
About financial strategy
30. Management Buyout
Debt Financing of 7.5 billion yen
RecruitmentBusiness Finance Recruitment
Mujin, Inc.
About financial strategy
32. Before MBO After MBO
Management Buyout (MBO) is an M&A method used by the management to take unwavering management rights by buying some or all shares.
Management
team
Management
team
Management
team
Asset management
company
33% 33%
100%
2019年2月14日
MBO実施
MBO completed as of
February 14th, 2019
Thanks to UTEC’s cooperation,
Mujin completed a MBO in which the Mujin management team obtained all of UTEC’s shares
RecruitmentBusiness Finance Recruitment
Mujin, Inc.
About financial strategy
33. Enhance management rights by the management team
The high management team equity ratio achieved by the MBO provides mid-to-long-term decision making power.
- Created a mid-to-long-term management structure
- Secured stable post-IPO shareholders
- Enhance freedom in future funding strategies development
- Secured structure for faster decision making
Management
team
33%
Management
team
Majority
RecruitmentBusiness Finance Recruitment
Mujin, Inc.
About financial strategy
34. UTEC is proud of being a sincere supporter even since Mujin’s foundation.
Mujin has been truly a global company which is making a significant contribution on
social problem like labor shortage by promotion of robot automation. In order to
support Mujin to strengthen its management foundation for further expansion of their
business globally with even bigger and wider vision, UTEC has made a big decision to
agree with this MBO.
We believe this MBO is an unprecedented event that could cause a stir in the history of
venture finance not only in Japan but also abroad.
We are absolutely certain that Mujin will step up to the next stage that makes them
keep growing to be global robot plat former as a UTEC alumnus, and we will
continuously support Mujin in as many strategies as possible.
President
Mr. Tomotaka GOJI
Business Finance Recruitment
UTEC’s voice
Mujin, Inc.
About financial strategy
35. MBO successfully gives MUJIN enhancement of management rights.
But we also need another capital for corporate growth.
So...
Business Finance Recruitment
Mujin, Inc.
About financial strategy
37. Sumitomo Mitsui Banking Corporation (SMBC) highly evaluated Mujin’s business plans and sent up debt facility with extremely low intesterest.
Signed on February 13th, 2019
7.5 billion yen raised
[ Borrowing ]
Form of Lending: Special Overdraft
Credit Limit: 7.5 billion yen
Sumitomo Mitsui
Banking Corporation
What is Special Overdraft?
A form of lending in which a borrower may freely borrow and repay funds up to a pre-set credit limit.
What is the key merit of Special Overdraft?
What is the key demerit of Special Overdraft?
It can quickly meet the borrower’s unforeseen funding needs without undue restrictions on the way the funds are used.
The borrower must clear the lender’s strict loan review standards and receive high credit ratings.
Business Finance Recruitment
Mujin, Inc.
Realized large scale funding with very low cost via debt financing
About financial strategy
38. Capital gain Amount raised Interest expense
Mujin, Inc.
The cost of capital of debt financing amounts to only a few percent of the cost of equity
Example of equity financing Example of debt financing
Usually, if a tech start-up, whose business has a high risk, gets a debt financing, a bank offers a small amount of debt with a security, a guarantee, and a high interest rate.
Generally speaking, debt’s interest rates are only about a few percent, much lower than equity financing for start-ups, amounting up to 20-50%.
Single year
Cost of capital
1/30
t0 t1 t2 t3
1 1
Interest expense 3
Capital gain
120
1
t0 t1 t2 t3
100
100
100
130
100
169
69
100
220
120
30
3 years total
Cost of capital
1/40
×130%
×130%
×130%
Business Finance Recruitment
Assumption
Capital raised: 10 billion yen
Expected rate of return: 30% a year (Compound interest)
( Cost of capital )
Assumption
Borrowings: 10 billion yen
Borrowing rate: 1% a year (simple interest)
( Cost of capital )
About financial strategy
*For simplification, the above example does not take tax saving into account
39. Business Finance Recruitment
Mujin, Inc.
Purpose of this funding
Secure talented human resources
Overseas deployment(China, USA, Europe)
Establish new R&D facility
Improve after support quality
Build robot data center
7.5 billion yen raised
About financial strategy
41. Mujin, Inc.
How the new funding method differs from conventional funding strategy used by start-ups.
Difficult for the management team to secure the freedom in future funding strategies development
Business Finance Recruitment
- High equity dilution if financing is done when market capitalization is low.
- Less corporate management rights with third party funding and increased
number of outside shareholders.
- High (what amounts to 20%-50% interest), although no need to repay.
- High market capitalization funding to minimize equity dilution may present a
risk of facinga strong pressure to avoid down round in the future.
- Hold back on stock options in order to avoid further equity dilution.
General funding strategy for start-ups
Start of business Series A Series B Series C IPO
Management
Employee
Management
Employee
Management
Employee Management
Employee
Series A
Management
Employee
Series A
Series B Series C
Series A
Series B Series C
IPO
Series A
Series B
Stockholding ratio
About financial strategy
42. Mujin, Inc.
MUJIN
- Held off equity dilution till additional fund raising at the time of IPO,
or no dilution at all if loans are repaid by using future free cash flow.
- Secured high level of management rights by the management team’s
direct governance.
- Lower cost of capital through bank borrowing.
- The management team bears most of the down round risk.
- More stock options can be issued because the high management team
equity ratio makes dilution due to stock options less of an issue.
Business Finance Recruitment
How the new funding method differs from conventional funding strategy used by start-ups.
Series B Series B Series B
Management
Employee
Management
Employee
Management
Employee
Management
Employee
Management
Employee
Series A
Series A
Start of business Series A Series B Series C IPO
Stockholding ratio
The management team secure the freedom in future funding strategies development
About financial strategy
43. Business Finance Recruitment
Mujin, Inc.
Secured
management
rights
Further stock options
Business fund of
7.5 billion yen
Employee
Capital
Management
rights
Leveraging this strong foundation for growth,
Mujin can fully focus on accelerating its business.
Sumitomo Mitsui
Banking Corporation
About financial strategy
With this financial strategy,
Mujin has achieved three advantages in catalyzing faster growth
44. In order to achieve higher corporate value,
Mujin will shift gears into:
Securing more talented team members who share our vision of robot automation
Delivering intelligent robot solutions to increase automation for more industries
Business FinanceAbout recruitment Recruitment
Mujin, Inc.
45. Building a solid team and
culture to last for 100 years
Business Finance Recruitment
Mujin, Inc.
About recruitment
46. Business Finance Recruitment
Mujin, Inc.
Face the unknown, be a pioneer and challenger.
You only live once; devote your talent and passion to a worthy cause.
The people with a credo of “Only we can do it!” have been the innovators of this world.
Be on the side to change the world.
https://mujin.co.jp/en/recruit.html
link to the recruitment page
About recruitment