The document provides an overview of the key steps needed to start a new technology company:
1) Establish a vision, mission, and business goals for the company.
2) Generate product/service ideas and develop initial designs.
3) Determine the necessary resources and timing.
4) Develop marketing, business, and financial strategies.
5) Perform all five steps concurrently rather than sequentially.
This document discusses the three levels of a product: the core product, actual product, and augmented product. The core product is the intangible benefits a customer receives, such as convenience. The actual product is the tangible goods produced to deliver the core benefits. Augmented products are additional goods and services that accompany the actual product. Understanding these three levels helps with product definition, development, marketing, and pricing. The document then provides an overview of the new product development process, outlining common steps such as idea generation, concept development and testing, business analysis, commercialization, and pricing.
This document provides a framework for understanding design that includes five key elements: 1) design phases, 2) design tools, 3) technical knowledge, 4) design business strategy, and 5) technical communications. It describes the typical design phases including needs assessment, requirements analysis, concept generation, system design, and testing. It also outlines important design tools such as marketing tools, project management tools, simulation tools, and CAD tools. Finally, it discusses necessary technical knowledge for design including knowledge of electronic components, circuits, EMC, feedback and control, and signal processing.
Business modelling in the fuzzy front end of innovation camera ready 29june11Sander Limonard
?
How to inform technological decision making in long term, networked innovation? This presentation proposes a methodology that enables decision makers in networked R&D projects to select, align and enrich strategy formation, business model identification and technology design.
This document discusses best practices for managing innovation projects. It notes that innovation projects have specific characteristics that require adapting typical project management approaches. It recommends establishing clear decision points throughout the project life cycle to determine whether to continue or adjust the project based on learnings. For the solution definition phase, an iterative approach is often best to explore, test, and validate solutions before committing significant resources. The document provides guidance on tailoring project management practices for each phase of innovation projects based on their unique uncertainties and risks.
Embodiment design or preliminary design is the phase where the design concept is given physical form. It involves three main activities: product architecture, configuration design, and parametric design. Product architecture determines the arrangement of physical elements into modules. Configuration design focuses on special-purpose parts and standard components. Parametric design sets exact dimensions and tolerances. System modeling and functional modeling help structure the design problem and identify inputs and outputs. Tools like FAST and subtract-and-operate are used to develop the functional decomposition of the design. Simulation allows testing designs virtually before validation.
The document describes the engineering design cycle, which involves identifying a problem, researching the need, designing solutions, selecting the best solution, constructing a prototype, testing and evaluating the prototype, and presenting the solution. It notes that while there are many versions of the design cycle, they all follow the same basic iterative process of moving between steps as needed to refine a solution and ensure it adequately addresses the original problem.
20121023 effect the right kind of change in contextElizabeth Clark
?
The document outlines an agenda to discuss concepts related to innovation and motivation. It will explore the Innovator's Dilemma, fractal mindsets, using The Godfather as a model for driving change, lessons from the front lines about culture and awareness. It will also discuss different types of companies (project, product, solution) and how to bring ideas together through joined-up thinking. Finally, it may discuss fractals and artificial life as models for organizations.
Information Storage and Management notes ssmeena ssmeena7
?
This document provides an introduction to information storage and management. It discusses why information storage has become important in the digital age, with data being created at an ever-increasing rate. It defines what data and information are, and describes how individuals and businesses collect and analyze data. It also outlines the key elements of data centers, including applications, databases, servers, networks, and storage arrays. Finally, it discusses challenges in managing information and the concept of information lifecycles over time.
INTELLIGENT DISK SUBSYSTEMS ¨C 2, I/O TECHNIQUES ¨C 1
Caching: Acceleration of Hard Disk Access; Intelligent disk subsystems; Availability of disk subsystems. The Physical I/O path from the CPU to the Storage System; SCSI.
I/O TECHNIQUES ¨C 2, NETWORK ATTACHED STORAGE
Fibre Channel Protocol Stack; Fibre Channel SAN; IP Storage. The NAS Architecture, The NAS hardware Architecture, The NAS Software Architecture, Network connectivity, NAS as a storage system.
This document discusses the components and architecture of a storage area network (SAN). It describes that a SAN operates on its own dedicated fibre channel network for storage I/O, separate from traditional TCP/IP networks. The key components of a SAN include fibre channel switches at its heart to connect devices, host bus adapters to connect servers to the switch, and storage devices. SAN hardware operates using the fibre channel standard which breaks communication down into frames, sequences, and exchanges to transport data and protocols like SCSI for storage flexibility.
FILE SYSTEM AND NAS: Local File Systems; Network file Systems and file servers; Shared Disk file systems; Comparison of fiber Channel and NAS.
STORAGE VIRTUALIZATION: Definition of Storage virtualization; Implementation Considerations; Storage virtualization on Block or file level; Storage virtualization on various levels of the storage Network; Symmetric and Asymmetric storage virtualization in the Network
INTRODUCTION : Server Centric IT Architecture and its Limitations; Storage ¨C Centric IT Architecture and its advantages; Case study: Replacing a server with Storage Networks; The Data Storage and Data Access problem; The Battle for size and access.
INTELLIGENT DISK SUBSYSTEMS ¨C 1
Architecture of Intelligent Disk Subsystems; Hard disks and Internal I/O Channels, JBOD, Storage virtualization using RAID and different RAID levels;
Computer models and simulations are used to predict how systems will behave without having to create physical systems. They use mathematical formulas and past data to mimic real-life situations. While not perfectly accurate, models allow testing of systems like cars, weather patterns, bridges and businesses in a safe, cost-effective manner. Examples given include using models to design safer cars, forecast weather, test bridge designs, predict business profits, and train pilots via realistic flight simulators.
System simulation & modeling notes[sjbit]qwerty626
?
The document discusses simulation modeling and provides an introduction to the topic. It defines simulation as imitating the operation of a real-world process over time. Simulation models take the form of assumptions expressed mathematically or logically about the relationships between system entities. Simulation is appropriate when a system is too complex to understand through other means or to experiment with system changes safely. The document outlines the components of a system and types of models. It also describes the basic steps involved in a simulation study from problem formulation to implementation.
(Last change, July 2: Removed as beyond most teams' scope Eyetracking Study, Clickstream Analysis, Usability Benchmarking; Added Live-Data Prototypes, Demand Validation Test, Wizard of Oz Tests)
For our teams tasked with building products and features for The New York Times, we face a common challenge with many: how do we figure out what¡¯s worth spending our time on?
The answer seems straightforward: test your ideas with real customers, leveraging the expertise of your product, UX, and engineering talent. Figure out the smallest test that you can come up with to test a specific hypothesis, gather data and insights, and keep iterating on it until you know whether the problem is real and your solution will prove valuable, usable, and feasible.
As part of our efforts to adopt such a data-driven, experimental approach to product development, we recently kicked off a product discovery pilot program. Small, cross-functional teams were paired with coaches and facilitators over a six week period to demonstrate how product discovery and Lean Startup techniques could work for real-world customer opportunities at The New York Times.
One of the first things that we learned about the process from our participants was that they wanted a "toolkit" - something to help them figure out what they should be doing, asking or making to get as quickly as possible towards the validated learning, prototypes and user tests that would have the most impact.
To help the facilitate the learning process for our dual-track Agile teams, the Product Architecture team here at The Times (Christine Yom, Jim Lamiell, Josh Turk, Priya Ollapally, and Al Ming) built a "Product Discovery Activity Guide" that rolled up activities, exercises, and testing techniques from all our favorite thought leaders.
This included brainstorming exercises from Gamestorming and Innovation Games, testing techniques from traditional user research, and rapid test-and-learn tactics from Google Ventures, Eric Ries (The Lean Startup), Jeff Gothelf (Lean UX), Steve Blank (Customer Development) and our spirit guide, Marty Cagan (Inspired), among others.
Our goal was to make it a tool not just for learning how to get started, but to be a living document for teams to share knowledge about the process itself. What techniques worked and didn't work? What tactics did they learn elsewhere that might be worth sharing with the rest of the company?
We hope you find it useful, and whether you¡¯d like to share with us what you¡¯re doing with it, or you have suggestions (big or small) to improve it for future product generations, please let us know! (nyt.tech.productarchitecture@nytimes.com)
Al Ming
July 2015
The document provides an overview of design thinking methodology and how it can be combined with LEAN principles for product development. It discusses the key stages of design thinking - empathizing to understand user needs, defining insights, ideating potential solutions, prototyping ideas, and testing prototypes with users. It also explains how minimum viable products and build-measure-learn cycles from LEAN can help accelerate the design process. The presentation aims to illustrate how design thinking and LEAN can be applied together to more efficiently develop products that meet user needs.
The document describes the product design process, which includes key steps like product planning, concept development, embodiment design, and detail design. It discusses product planning in depth, including why it is important to determine the right mix of projects and provide each project with a focused mission statement. The document also covers gathering customer needs, generating concepts, and evaluating concepts to arrive at the best design.
Unit no 06 discusses product lifecycle management (PLM) and product data management. It describes the typical phases of a product's lifecycle from conception through development, production, launch, and decline. Key phases include idea generation, concept development, prototype development, testing, and product launch. PLM integrates people, processes, business systems and information across the extended enterprise from concept to end of life. It consists of three main subsystems: product data management (PDM), manufacturing process management (MPM), and customer relationship management (CRM). PDM provides control over design databases and manages engineering changes. MPM bridges product design and production. CRM supports marketing, sales, and customer service functions. The document provides examples
CH 10 Part 2.docxFigure 10-2 The layout of a data inpu.docxcravennichole326
?
This document discusses how understanding "jobs to be done" can help companies at each stage of the innovation lifecycle. It describes 5 stages: 1) Identifying demand by finding important unsatisfied jobs, 2) Optimizing solutions to balance features and price, 3) Capturing value by addressing jobs that create more value, 4) Defending share by differentiating based on jobs, and 5) Revitalizing growth by finding new jobs. Understanding jobs shifts focus from demographics to problems customers need to solve. Case studies show how companies used jobs thinking to drive innovation and growth.
This document discusses new product development. It begins by outlining different new product options like acquisition or internal development. It then describes types of new products from incremental improvements to radical innovations. Several challenges in new product development are explored like the need for continuous innovation, high failure rates of new products, and difficulties in budgeting and organizing development efforts. The document concludes by examining various stages of managing the development process from generating and screening ideas to concept development, testing, and analyzing consumer adoption.
The document discusses the history and development of Quality Function Deployment (QFD). Some key milestones include QFD being introduced in the US in 1984 and the first full-length book on QFD being published in the US in 1987. QFD is a method for product development that involves specifying customer needs and systematically evaluating how design characteristics meet those needs. The basic QFD process involves constructing matrices, especially the House of Quality matrix, to guide decisions throughout development.
The concept generation process begins with a set of customer needs and target specifications and results in a set of product concepts from which the team will make a final selection.
Unit 2 product development-technicalconcernsAtul Joshi
?
1) The document discusses the importance of developing a clear mission statement and asking technical questions to focus product design efforts. It provides examples of a mission statement and technical questions for designing a fingernail clipper.
2) It also covers topics like developing a business case analysis, using technology forecasting to understand product life cycles, identifying customer needs, using quality function deployment (QFD) to prioritize engineering characteristics, creating a product design specification (PDS), and understanding market segmentation.
3) The document provides information to guide a new product development process, from initially defining goals and requirements through technical development and understanding markets.
The document outlines a 5-phase project schedule to develop and launch a new product. Phase 1 involves market research including surveys, analysis, and determining competitors. Phase 2 is product design with researching design options, evaluation, and selection. Phase 3 is product development including costing and prototype testing. Phase 4 is marketing with production, testing, and choosing a production plan. Phase 5 is project management including choosing a marketing strategy, creating a marketing plan, data collection, choosing a target market, and advertising. Each phase has defined activities and deliverables.
The document describes the design process from conceptualization through detail design. It involves identifying customer needs, defining the problem, gathering information, conceptualizing solutions, and selecting a preferred concept through review. The embodiment phase determines product architecture, configurations, and parameters. Detail design completes drawings and specifications, builds prototypes, and calculates costs. The process aims to develop a design that satisfies customer needs through systematic decomposition, concept generation, evaluation, and refinement of the design.
From Product Vision to Story Map - Lean / Agile Product shapingJ¨¦r?me Kehrli
?
A lot of Software Engineering projects fail for a lack of shared vision due to poor communication among?people involved in the project.
A sound maintenance of the product backlog can only be achieved if all the people have a good understanding of what they have to do (common vision).
Roman Pichler, in a post originally written in Jul 16 2012, has proposed a really interesting approach: use various canvas to create and share product vision and product backlog creation and re?nement.
This presentation is a drive through these various boards and canvas that should be designed in prior to any product development: the Product Vision, the Lean Canvas, The Product Definition and the Story Map.
Information Storage and Management notes ssmeena ssmeena7
?
This document provides an introduction to information storage and management. It discusses why information storage has become important in the digital age, with data being created at an ever-increasing rate. It defines what data and information are, and describes how individuals and businesses collect and analyze data. It also outlines the key elements of data centers, including applications, databases, servers, networks, and storage arrays. Finally, it discusses challenges in managing information and the concept of information lifecycles over time.
INTELLIGENT DISK SUBSYSTEMS ¨C 2, I/O TECHNIQUES ¨C 1
Caching: Acceleration of Hard Disk Access; Intelligent disk subsystems; Availability of disk subsystems. The Physical I/O path from the CPU to the Storage System; SCSI.
I/O TECHNIQUES ¨C 2, NETWORK ATTACHED STORAGE
Fibre Channel Protocol Stack; Fibre Channel SAN; IP Storage. The NAS Architecture, The NAS hardware Architecture, The NAS Software Architecture, Network connectivity, NAS as a storage system.
This document discusses the components and architecture of a storage area network (SAN). It describes that a SAN operates on its own dedicated fibre channel network for storage I/O, separate from traditional TCP/IP networks. The key components of a SAN include fibre channel switches at its heart to connect devices, host bus adapters to connect servers to the switch, and storage devices. SAN hardware operates using the fibre channel standard which breaks communication down into frames, sequences, and exchanges to transport data and protocols like SCSI for storage flexibility.
FILE SYSTEM AND NAS: Local File Systems; Network file Systems and file servers; Shared Disk file systems; Comparison of fiber Channel and NAS.
STORAGE VIRTUALIZATION: Definition of Storage virtualization; Implementation Considerations; Storage virtualization on Block or file level; Storage virtualization on various levels of the storage Network; Symmetric and Asymmetric storage virtualization in the Network
INTRODUCTION : Server Centric IT Architecture and its Limitations; Storage ¨C Centric IT Architecture and its advantages; Case study: Replacing a server with Storage Networks; The Data Storage and Data Access problem; The Battle for size and access.
INTELLIGENT DISK SUBSYSTEMS ¨C 1
Architecture of Intelligent Disk Subsystems; Hard disks and Internal I/O Channels, JBOD, Storage virtualization using RAID and different RAID levels;
Computer models and simulations are used to predict how systems will behave without having to create physical systems. They use mathematical formulas and past data to mimic real-life situations. While not perfectly accurate, models allow testing of systems like cars, weather patterns, bridges and businesses in a safe, cost-effective manner. Examples given include using models to design safer cars, forecast weather, test bridge designs, predict business profits, and train pilots via realistic flight simulators.
System simulation & modeling notes[sjbit]qwerty626
?
The document discusses simulation modeling and provides an introduction to the topic. It defines simulation as imitating the operation of a real-world process over time. Simulation models take the form of assumptions expressed mathematically or logically about the relationships between system entities. Simulation is appropriate when a system is too complex to understand through other means or to experiment with system changes safely. The document outlines the components of a system and types of models. It also describes the basic steps involved in a simulation study from problem formulation to implementation.
(Last change, July 2: Removed as beyond most teams' scope Eyetracking Study, Clickstream Analysis, Usability Benchmarking; Added Live-Data Prototypes, Demand Validation Test, Wizard of Oz Tests)
For our teams tasked with building products and features for The New York Times, we face a common challenge with many: how do we figure out what¡¯s worth spending our time on?
The answer seems straightforward: test your ideas with real customers, leveraging the expertise of your product, UX, and engineering talent. Figure out the smallest test that you can come up with to test a specific hypothesis, gather data and insights, and keep iterating on it until you know whether the problem is real and your solution will prove valuable, usable, and feasible.
As part of our efforts to adopt such a data-driven, experimental approach to product development, we recently kicked off a product discovery pilot program. Small, cross-functional teams were paired with coaches and facilitators over a six week period to demonstrate how product discovery and Lean Startup techniques could work for real-world customer opportunities at The New York Times.
One of the first things that we learned about the process from our participants was that they wanted a "toolkit" - something to help them figure out what they should be doing, asking or making to get as quickly as possible towards the validated learning, prototypes and user tests that would have the most impact.
To help the facilitate the learning process for our dual-track Agile teams, the Product Architecture team here at The Times (Christine Yom, Jim Lamiell, Josh Turk, Priya Ollapally, and Al Ming) built a "Product Discovery Activity Guide" that rolled up activities, exercises, and testing techniques from all our favorite thought leaders.
This included brainstorming exercises from Gamestorming and Innovation Games, testing techniques from traditional user research, and rapid test-and-learn tactics from Google Ventures, Eric Ries (The Lean Startup), Jeff Gothelf (Lean UX), Steve Blank (Customer Development) and our spirit guide, Marty Cagan (Inspired), among others.
Our goal was to make it a tool not just for learning how to get started, but to be a living document for teams to share knowledge about the process itself. What techniques worked and didn't work? What tactics did they learn elsewhere that might be worth sharing with the rest of the company?
We hope you find it useful, and whether you¡¯d like to share with us what you¡¯re doing with it, or you have suggestions (big or small) to improve it for future product generations, please let us know! (nyt.tech.productarchitecture@nytimes.com)
Al Ming
July 2015
The document provides an overview of design thinking methodology and how it can be combined with LEAN principles for product development. It discusses the key stages of design thinking - empathizing to understand user needs, defining insights, ideating potential solutions, prototyping ideas, and testing prototypes with users. It also explains how minimum viable products and build-measure-learn cycles from LEAN can help accelerate the design process. The presentation aims to illustrate how design thinking and LEAN can be applied together to more efficiently develop products that meet user needs.
The document describes the product design process, which includes key steps like product planning, concept development, embodiment design, and detail design. It discusses product planning in depth, including why it is important to determine the right mix of projects and provide each project with a focused mission statement. The document also covers gathering customer needs, generating concepts, and evaluating concepts to arrive at the best design.
Unit no 06 discusses product lifecycle management (PLM) and product data management. It describes the typical phases of a product's lifecycle from conception through development, production, launch, and decline. Key phases include idea generation, concept development, prototype development, testing, and product launch. PLM integrates people, processes, business systems and information across the extended enterprise from concept to end of life. It consists of three main subsystems: product data management (PDM), manufacturing process management (MPM), and customer relationship management (CRM). PDM provides control over design databases and manages engineering changes. MPM bridges product design and production. CRM supports marketing, sales, and customer service functions. The document provides examples
CH 10 Part 2.docxFigure 10-2 The layout of a data inpu.docxcravennichole326
?
This document discusses how understanding "jobs to be done" can help companies at each stage of the innovation lifecycle. It describes 5 stages: 1) Identifying demand by finding important unsatisfied jobs, 2) Optimizing solutions to balance features and price, 3) Capturing value by addressing jobs that create more value, 4) Defending share by differentiating based on jobs, and 5) Revitalizing growth by finding new jobs. Understanding jobs shifts focus from demographics to problems customers need to solve. Case studies show how companies used jobs thinking to drive innovation and growth.
This document discusses new product development. It begins by outlining different new product options like acquisition or internal development. It then describes types of new products from incremental improvements to radical innovations. Several challenges in new product development are explored like the need for continuous innovation, high failure rates of new products, and difficulties in budgeting and organizing development efforts. The document concludes by examining various stages of managing the development process from generating and screening ideas to concept development, testing, and analyzing consumer adoption.
The document discusses the history and development of Quality Function Deployment (QFD). Some key milestones include QFD being introduced in the US in 1984 and the first full-length book on QFD being published in the US in 1987. QFD is a method for product development that involves specifying customer needs and systematically evaluating how design characteristics meet those needs. The basic QFD process involves constructing matrices, especially the House of Quality matrix, to guide decisions throughout development.
The concept generation process begins with a set of customer needs and target specifications and results in a set of product concepts from which the team will make a final selection.
Unit 2 product development-technicalconcernsAtul Joshi
?
1) The document discusses the importance of developing a clear mission statement and asking technical questions to focus product design efforts. It provides examples of a mission statement and technical questions for designing a fingernail clipper.
2) It also covers topics like developing a business case analysis, using technology forecasting to understand product life cycles, identifying customer needs, using quality function deployment (QFD) to prioritize engineering characteristics, creating a product design specification (PDS), and understanding market segmentation.
3) The document provides information to guide a new product development process, from initially defining goals and requirements through technical development and understanding markets.
The document outlines a 5-phase project schedule to develop and launch a new product. Phase 1 involves market research including surveys, analysis, and determining competitors. Phase 2 is product design with researching design options, evaluation, and selection. Phase 3 is product development including costing and prototype testing. Phase 4 is marketing with production, testing, and choosing a production plan. Phase 5 is project management including choosing a marketing strategy, creating a marketing plan, data collection, choosing a target market, and advertising. Each phase has defined activities and deliverables.
The document describes the design process from conceptualization through detail design. It involves identifying customer needs, defining the problem, gathering information, conceptualizing solutions, and selecting a preferred concept through review. The embodiment phase determines product architecture, configurations, and parameters. Detail design completes drawings and specifications, builds prototypes, and calculates costs. The process aims to develop a design that satisfies customer needs through systematic decomposition, concept generation, evaluation, and refinement of the design.
From Product Vision to Story Map - Lean / Agile Product shapingJ¨¦r?me Kehrli
?
A lot of Software Engineering projects fail for a lack of shared vision due to poor communication among?people involved in the project.
A sound maintenance of the product backlog can only be achieved if all the people have a good understanding of what they have to do (common vision).
Roman Pichler, in a post originally written in Jul 16 2012, has proposed a really interesting approach: use various canvas to create and share product vision and product backlog creation and re?nement.
This presentation is a drive through these various boards and canvas that should be designed in prior to any product development: the Product Vision, the Lean Canvas, The Product Definition and the Story Map.
Prioritizing for Profit from AgilePaloozaEnthiosys Inc
?
The document discusses prioritizing a product backlog for profit. It recommends considering three core groups when prioritizing: stakeholder alignment, strategic alignment, and driving profit. For stakeholder alignment, the backlog should include at least one item for each stakeholder group. For strategic alignment, it should include at least one item that aligns with the company's strategy. And to drive profit, it should include at least one item that generates revenue or reduces costs. The document provides various techniques for involving stakeholders, determining strategic priorities, and identifying profit drivers to create a holistically prioritized backlog.
Job-to-be-done theory to practice : Ch4 ProcessPRADA Hsiung
?
This document discusses applying Jobs-to-be-Done (JTBD) theory to practice. It outlines the key steps in a JTBD process including conducting competitive analysis, formulating an innovation strategy, targeting hidden growth opportunities, and formulating market and product strategies. It provides examples of how Motorola segmented users based on the specific jobs they needed to get done. The document emphasizes that JTBD helps align product offerings with customer needs and communicate value propositions based on outcomes important to customers.
This document outlines the agenda and activities for a three-day workshop on startup entrepreneurship. The workshop aims to teach participants about self-discovery, teamwork, creativity, and implementing ideas effectively. Participants will engage in icebreakers, team formation exercises, lectures on entrepreneurship topics, brainstorming sessions, and assignments to develop a business idea and value proposition over the course of the workshop.
Future proof event on 13 sept 18 - Innovation & IP - by Bagaar & GeversDavid Gillain
?
This document outlines the process for developing a new smart meter product from concept to production. It involves 7 phases: 1) Framing the project scope, 2) Defining the concept, 3) Validating technical feasibility, 4) Defining functional requirements, 5) Designing the product and interfaces, 6) Developing prototypes, and 7) Testing through a proof of concept, pilot, and production. Each phase involves workshops, prototyping, requirements documents, and other activities to refine the concept and ensure technical and commercial viability before moving to the next stage of development.
This document outlines the key stages of design thinking and product life cycles. It discusses:
1) The 5 stages of design thinking: empathize, define, ideate, prototype, and test. This is a human-centered process to generate innovative solutions.
2) The 4 stages of a product's life cycle: introduction, growth, maturity, and decline. This describes the typical lifespan of a product in the market.
3) Design ethics and how designers should consider moral behavior and responsible choices when developing products and solutions.
Inside Freshworks' Migration from Cassandra to ScyllaDB by Premkumar PatturajScyllaDB
?
Freshworks migrated from Cassandra to ScyllaDB to handle growing audit log data efficiently. Cassandra required frequent scaling, complex repairs, and had non-linear scaling. ScyllaDB reduced costs with fewer machines and improved operations. Using Zero Downtime Migration (ZDM), they bulk-migrated data, performed dual writes, and validated consistency.
Field Device Management Market Report 2030 - TechSci ResearchVipin Mishra
?
The Global Field Device Management (FDM) Market is expected to experience significant growth in the forecast period from 2026 to 2030, driven by the integration of advanced technologies aimed at improving industrial operations.
? According to TechSci Research, the Global Field Device Management Market was valued at USD 1,506.34 million in 2023 and is anticipated to grow at a CAGR of 6.72% through 2030. FDM plays a vital role in the centralized oversight and optimization of industrial field devices, including sensors, actuators, and controllers.
Key tasks managed under FDM include:
Configuration
Monitoring
Diagnostics
Maintenance
Performance optimization
FDM solutions offer a comprehensive platform for real-time data collection, analysis, and decision-making, enabling:
Proactive maintenance
Predictive analytics
Remote monitoring
By streamlining operations and ensuring compliance, FDM enhances operational efficiency, reduces downtime, and improves asset reliability, ultimately leading to greater performance in industrial processes. FDM¡¯s emphasis on predictive maintenance is particularly important in ensuring the long-term sustainability and success of industrial operations.
For more information, explore the full report: https://shorturl.at/EJnzR
Major companies operating in Global?Field Device Management Market are:
General Electric Co
Siemens AG
ABB Ltd
Emerson Electric Co
Aveva Group Ltd
Schneider Electric SE
STMicroelectronics Inc
Techno Systems Inc
Semiconductor Components Industries LLC
International Business Machines Corporation (IBM)
#FieldDeviceManagement #IndustrialAutomation #PredictiveMaintenance #TechInnovation #IndustrialEfficiency #RemoteMonitoring #TechAdvancements #MarketGrowth #OperationalExcellence #SensorsAndActuators
The Future of Repair: Transparent and Incremental by Botond De?nesScyllaDB
?
Regularly run repairs are essential to keep clusters healthy, yet having a good repair schedule is more challenging than it should be. Repairs often take a long time, preventing running them often. This has an impact on data consistency and also limits the usefulness of the new repair based tombstone garbage collection. We want to address these challenges by making repairs incremental and allowing for automatic repair scheduling, without relying on external tools.
THE BIG TEN BIOPHARMACEUTICAL MNCs: GLOBAL CAPABILITY CENTERS IN INDIASrivaanchi Nathan
?
This business intelligence report, "The Big Ten Biopharmaceutical MNCs: Global Capability Centers in India", provides an in-depth analysis of the operations and contributions of the Global Capability Centers (GCCs) of ten leading biopharmaceutical multinational corporations in India. The report covers AstraZeneca, Bayer, Bristol Myers Squibb, GlaxoSmithKline (GSK), Novartis, Sanofi, Roche, Pfizer, Novo Nordisk, and Eli Lilly. In this report each company's GCC is profiled with details on location, workforce size, investment, and the strategic roles these centers play in global business operations, research and development, and information technology and digital innovation.
DevNexus - Building 10x Development Organizations.pdfJustin Reock
?
Developer Experience is Dead! Long Live Developer Experience!
In this keynote-style session, we¡¯ll take a detailed, granular look at the barriers to productivity developers face today and modern approaches for removing them. 10x developers may be a myth, but 10x organizations are very real, as proven by the influential study performed in the 1980s, ¡®The Coding War Games.¡¯
Right now, here in early 2025, we seem to be experiencing YAPP (Yet Another Productivity Philosophy), and that philosophy is converging on developer experience. It seems that with every new method, we invent to deliver products, whether physical or virtual, we reinvent productivity philosophies to go alongside them.
But which of these approaches works? DORA? SPACE? DevEx? What should we invest in and create urgency behind today so we don¡¯t have the same discussion again in a decade?
Technology use over time and its impact on consumers and businesses.pptxkaylagaze
?
In this presentation, I will discuss how technology has changed consumer behaviour and its impact on consumers and businesses. I will focus on internet access, digital devices, how customers search for information and what they buy online, video consumption, and lastly consumer trends.
Just like life, our code must evolve to meet the demands of an ever-changing world. Adaptability is key in developing for the web, tablets, APIs, or serverless applications. Multi-runtime development is the future, and that future is dynamic. Enter BoxLang: Dynamic. Modular. Productive. (www.boxlang.io)
BoxLang transforms development with its dynamic design, enabling developers to write expressive, functional code effortlessly. Its modular architecture ensures flexibility, allowing easy integration into your existing ecosystems.
Interoperability at Its Core
BoxLang boasts 100% interoperability with Java, seamlessly blending traditional and modern development practices. This opens up new possibilities for innovation and collaboration.
Multi-Runtime Versatility
From a compact 6MB OS binary to running on our pure Java web server, CommandBox, Jakarta EE, AWS Lambda, Microsoft Functions, WebAssembly, Android, and more, BoxLang is designed to adapt to any runtime environment. BoxLang combines modern features from CFML, Node, Ruby, Kotlin, Java, and Clojure with the familiarity of Java bytecode compilation. This makes it the go-to language for developers looking to the future while building a solid foundation.
Empowering Creativity with IDE Tools
Unlock your creative potential with powerful IDE tools designed for BoxLang, offering an intuitive development experience that streamlines your workflow. Join us as we redefine JVM development and step into the era of BoxLang. Welcome to the future.
UiPath Agentic Automation Capabilities and OpportunitiesDianaGray10
?
Learn what UiPath Agentic Automation capabilities are and how you can empower your agents with dynamic decision making. In this session we will cover these topics:
What do we mean by Agents
Components of Agents
Agentic Automation capabilities
What Agentic automation delivers and AI Tools
Identifying Agent opportunities
? If you have any questions or feedback, please refer to the "Women in Automation 2025" dedicated Forum thread. You can find there extra details and updates.
UiPath Automation Developer Associate Training Series 2025 - Session 1DianaGray10
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Welcome to UiPath Automation Developer Associate Training Series 2025 - Session 1.
In this session, we will cover the following topics:
Introduction to RPA & UiPath Studio
Overview of RPA and its applications
Introduction to UiPath Studio
Variables & Data Types
Control Flows
You are requested to finish the following self-paced training for this session:
Variables, Constants and Arguments in Studio 2 modules - 1h 30m - https://academy.uipath.com/courses/variables-constants-and-arguments-in-studio
Control Flow in Studio 2 modules - 2h 15m - https:/academy.uipath.com/courses/control-flow-in-studio
?? For any questions you may have, please use the dedicated Forum thread. You can tag the hosts and mentors directly and they will reply as soon as possible.
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Ism 80 lecture notes
1. Strting a New Technology Company = Innovation & Entrepreneurship<br />Overview<br />Problem: How does one create a new technology company?<br />Approach/Process: 5 key steps<br />Setup a VISION, a MISSION and Business Goals for the company<br />Like: how much Revenue you hope to make<br />Growth (%)<br />Product Strategy<br />Generate Ideas for products and services<br />Design and develop the product/service<br />Resources needed (people, equipment, space, ¡)<br />Timing (when?)<br />Market Strategy<br />Market segmentation of the products and potential customers<br />Market sizing ($)<br />Market Mix (the 4 p¡¯s)<br />Product (features,¡)<br />Price<br />Promotion (advertising,¡)<br />Placement (distribution channels,¡)<br />Business Strategy<br />What industry/market combination is your company operating in? (consumer electronics industry, healthcare industry¡)<br />Who are tehe major players (or companies) in that industry? <br />What is the competitive strategy of each player?<br />How is your company going to operate in that space?<br />Financial Strategy<br />Cash flows (revenues, costs, profit) for 3-5 years<br />Funding<br />Who will finance the new company? (friends and family, government, venture capital,¡)<br />Financial structure (ownership, shares and stock,¡)<br />How do you obtain the necessary funding?<br />These Five steps (^^) have to be performed concurrently as opposed to sequentially. <br />Skills To be learned in this course<br />Problem Solving <br />Da Vinci circa 1450s<br />Edison around 1850s<br />How to start a new technology company<br />Tools, Methods within each of the five steps<br />Applications<br />Covered in lectures and homework<br />Mastery of the tools<br />Through the comprehensive midterm and final<br />By creating a startup as part of a team project<br />HW ¨C every other Thursday<br />Team Project Report ¨C every other other thursday<br />Idea Generation: One Popular method for idea Generation is: <br />STRUCTURED BRAINSTROMING<br />Idea Generation<br />Quantity of ideas (not quality) is emphasized<br />No criticism<br />Quantity is more important that quality<br />¡°wilder the better¡±<br />one person should act as a facilitator and another person records ideas as they are being generated.<br />Todays Problem: Highway 17 is extremely dangerous, especially when it rains.<br />Generate: 30 ¨C 50 ideas to make highway 17 safer<br />Structure the ideas into 3 groups<br />A: ideas of immediate usefulness (¡°low-hanging¡± fruit)<br />B: ideas for further exploration<br />C: radically new approaches<br />Agenda:<br />Review<br />Project teams<br />Project kick-off & hw number 1<br />Problem solving<br />Product/service dissection ¨C (reverse engineering)<br />Project Kick-off<br />2 levels of brainstorming<br />Level 1:<br />Brainstorm on societal/customer/market needs (25-50 needs):<br />i.e. clean drinking water for everyone<br />better transportation<br />alternate fuels¡.etc.<br />Level 2:<br />reduce to 3-5 for close examination<br />get specific within the ideas/needs<br />specify ideas to solve or satisfy these needs<br />Create a project proposal<br />main body - A prioritized list of 5-7 ideas, with a brief description of each idea (2-3 pages).<br />Include an appendix (larger set of needs and ideas generated with all details of brainstorming activities)<br />Structured problem solving<br />High-level process: <br />Define the real problem<br />Plan the approach (a set of steps)<br />Execute the plan<br />Check your work<br />Learn/Generalize (drawing conclusions)<br />Product/service dissection ¨C (reverse engineering)<br />Comment: The word ¡°product¡± refers to a spectrum of offereing.<br />Before we can create new products and services, we need to understand how to analyze (or dissect) existing products<br />Step 1: Problem definition<br />What does the product do? (functions)<br />What is the form of the product? (how are the functions realized)<br />Step 2: Plan the approach<br />How does the product work?<br />Define function and form in a more formal fashion<br />Create a structured (organized) diagram that relates the functions to the form<br />Draw conclusions at the end about the product that was dissected.<br />Step 3: Execute the approach<br />Understand how the product works<br />Find a real product and play with it<br />Define function and form<br />Function is a noun-verb combination that indicates the purpose, i.e., what a product does, or what a sub-system does, or what a component does.<br />Agenda:<br />Review<br />Product Dissection<br />HW #1<br />Function Structure<br />Review<br />The importance of having and using a structured problem solving approach<br />There are 5 key steps outlined in the last lecture<br />We applied this method to ¡°product dissection¡±<br />See handout for details<br />Product dissection<br />The FAST (function analysis system technique)<br />Is a systematic (structured) way of organizing the functions (whys) and the forms (hows) of a product service<br />Key idea: organize the product in a FAST diagram with the whys to the right and the hows to the left<br />Product Dissection<br />Useful hints (for complex products like our hw)<br />Draw a little sketch of the system you are trying to dissect and make a list of the key subsystems and components <br />Work from both ends of the FAST diagram; the process is an ITERATIVE TRIAL and ERROR process<br />The FAST diagram stops when you reach the level of subsystems and components in your list<br />HW PROBLEM NUMBER 1<br />Step 1: define the real problem<br />Assess existing home computers and then develop guidelines or recommendations for improving home computers with respect to each one of these needs<br />What are user (customer) needs?<br />How well do existing computers satisfy these needs?<br />How can we improve?<br />Step 2: Create a plan<br />What are the different types of home computers, and which type am I going to focus on?<br />Assumption: Focus on laptop? (<br />Identify key user needs for the home-computer (key functions, WHYs)<br />Identify the key subsystems of the home computer<br />Create a FAST diagram that relates <br />Assess how well existing home computers satisfy user needs (starting with your own experience, other users, internet research¡)<br />Create a table summarizing your assessment and providing guidelines + recommendations for improvement using structured brainstorming<br />Column 1: customer need, performance, UI/experience, reliability, price, etc¡<br />Column 2: assessment (use a scale)<br />Column 3: guidelines for improvement<br />Product Design<br />A useful tool in product design is the function structure (FS)<br />Question: Is there a solution-neutral representation (mental model) of existing products or new products that will enable us to create several different realizations of the product.<br />¡°solution neutral¡± does not suggest or imply a single solution<br />FS is useful for enetarting several alternative design concepts<br />Came in late¡.<br />Step 3: Create a morphological matrix, showing alternatives, called solution principles for each sub-function (refer to notebook)<br />Important note: the morphological matrix is constructed, one row (i.e. one sub-function) at a time. NOT one column at a time.<br />Step 4: combine the solution principles (in the morphological matrix) to create alternative design concepts<br />Use experience, logic, discussion, to determine appropriate combinations<br />Design concept 1: existing breathe-right nasal strip<br />It is the combination of a plastic spring strip to open the nasal passages, which attaches to the nose (how stuff works)<br />Step 5<br />Step 6: Select 1-2 feasible alternatives based on the slection criteria for further development<br />Criteria:<br />Performance (effectiveness, etc¡)<br />Price attractiveness<br />Safety<br />Project Phase 1: Need high-level criteria to narrow down the list of 5-7 potential ides (from the prelim proposal) to 1 or 2 ideas as a basis for a the startup<br />Criteria:<br />Technical feasibility of the idea. <br />Can it be physically realized in a reasonable amount of time and at a reasonable cost?<br />Commercialization potential of the idea<br />Is there a market for the idea?<br />Construct a 2x2 matrix<br />Agenda<br />Remarks on the morphological matrix<br />Product strategy<br />The resources need to develop the product<br />Expertise: skill sets, tools<br />Infrastructure: space, computing<br />Source: From where? Are we outsourcing?<br />Timing: when?<br />Business (competitive) strategy<br />Problem:<br />How do you characterize the industry/market in which the company (startup) wants to operate<br />What competitive strategy should a company adjust to successfully operate (ie make profit, grow) in that industry / market landscape?<br />Market => customer or buyer for the product<br />Industry => types of market<br />Consumer electronics industry, entertainment industry, health care¡<br />Players: competitors, new entrants, substitutes<br />Barriers to entry (of market)<br />Capital<br />Brand<br />Economies of scale<br />Etc¡<br />Near term/Long term strategy:<br />Near term for start-up is ¡°focus¡±<br />Long term: splits into cost effective or differentiated.<br />Step 3: development a business model how to deal with the different sets of players in the the undustry market landscape<br />For each force, F1¡, determine the strength (high, medium, low) of the key factors (called determinants) that influence the force see table 1 of the five forces handout <br />START OF LECTURE:<br />Agenda:<br />Complete the five forces business/competitive strategy discussion<br />HW #2<br />HW 2: Problem 2<br />Market and competitive analysis for the digital camera industry<br />Apple the structured problem solving approach<br />Step 1: define the problem<br />Understand and characterize the market (buyers & industry (competitors, suppliers, new entrants¡) for digital cameras.<br />Market analysis: 5-step process (lecture #5)<br />Industry analysis: 3-step process (lecture six + handout)<br />In particular, determine:<br />Types of digital camera products ¨C product segmentation<br />Types of digital camera customers (or buyers) ¨C customer segmentation<br />Manufacturers or makers of digital cameras ¨C competitors<br />Market size of the digital camera<br />Step 2: Plan<br />Do some internet-based research to collect the information needed<br />Create a document to collect and organize the information as you go along. (note that you may not obtain exactly the information you are looking for)<br />Chapter 1: Idea<br />It is a substitute for pen and paper<br />How to acquire/contact with a good set of collaborators<br />Be careful about sharing ideas (intellectual capital)<br />Chapter 2: The deal<br />Interaction with the venture capitalists<br />Competition between VC¡¯s benefits the entrepreneur<br />Chapter 3: Creation<br />Resources (people and physical)<br />Planning<br /> <br />