What is Rapid Application Development? (RAD) | Analysis and Design | FAQ

Craig mohan

Craig most recently served as CME Group’s Managing Director of Market Technology and Data Services, encompassing co-location services, market data and desktop services totaling over $540M in annual revenue. More Info >While at CME group he built CME Co-Location Services, the first new business line since the merger of the Chicago futures exchanges, growing it to more than $80M in revenue per year and generating over $500M in total revenue while under his leadership. He transformed the market data business into a growth business increasing total revenue by over $100M per year and posting several record revenue quarters. He managed CME Group’s customer-facing software assets the which included the CME Direct application and the Pivot and Elysian software businesses. Mohan also served as a member of the investment committee for CME Ventures, CME Group’s early stage technology venture fund.

Prior to joining CME Group in 2021, Mohan held technology and operations leadership roles in large organizations as well as early-stage and venture funded technology companies. Mohan served as Director, Global Infrastructure at Citadel Investment Group, where he was responsible for managing the firm’s networking, technical architecture and global infrastructure operations. At Accenture, he held several senior architecture, technology strategy and development leadership positions with clients such as Allstate, Walgreens, FedEx and the Accenture internal CIO organization. He also served as the CTO at ShopperTrak RCT and as the CTO and co-founder of BlueMeteor Inc.

Mohan holds a bachelor’s degree in electrical engineering, with honors, from the University of Illinois at Urbana-Champaign

Ioan raicu

Ioan is an associate professor of computer science at Illinois Institute of Technology, and the founder and director of IIT’s Data-Intensive Distributed Systems Laboratory. He is also a guest research faculty in the math and computer science Division at Argonne National Laboratory.

More Info >Ioan’s focus areas include Distributed Systems, Many-Task Computing, Data-Intensive Computing, Grid Computing, Cloud Computing, Supercomputing, Many-Core Computing, High-Performance Computing, and Parallel Programming Languages.

Kevin c.c. chang

Kevin is a Professor in Computer Science at the University of Illinois at Urbana-Champaign, where he leads the FORWARD Data Lab for search, integration, and mining of data. He received a BS from National Taiwan University and PhD in electrical engineering from Stanford University.

More Info >His research addresses large scale information access, for search, mining, and integration across structured and unstructured big data, with current focuses on «entity-centric» Web search/mining and social media analytics.

He received two Best Paper Selections in VLDB 2000 and 2021, an NSF CAREER Award in 2002, an NCSA Faculty Fellow Award in 2003, IBM Faculty Awards in 2004 and 2005, Academy for Entrepreneurial Leadership Faculty Fellow Award in 2008, and the Incomplete List of Excellent Teachers at University of Illinois in 2001, 2004, 2005, 2006, 2021, and 2021.

Marc price

Marc Price is the Chief Technology Officer for MATRIXX Software. He is recognized as an industry leading subject matter expert in telecommunications systems, with nearly 30 years of experience working extensively with customers to define strategies and deploy world-class solutions for high volume processing of events.

More Info >Marc provides expertise and strategic guidance on real-time solutions that provide a foundation for next generation business intelligence across networks and support systems, including current initiatives in big data, virtualization, and 5G networks.

Prior to joining MATRIXX, he was CTO for the Americas with Openet where he led initiatives for software development, systems consulting and business development. Before joining Openet, Marc was the lead software architect for a market-leading convergent real-time rating and billing system for service providers.

He has worked in various project management, product development, and senior consulting roles, and has contributed towards leading technology standards organizations including 3GPP and CableLabs. Marc holds honors degrees in Engineering and International Relations from the University of Pennsylvania.

Michael franklin

Michael is the Liew Family Chair of the Computer Science Department at the University of Chicago. An authority on databases, data analytics, data management and distributed systems, he also serves as senior advisor to the provost on computation and data science.

Previously Michael was at the University of California, Berkeley, where he was the chair of the Computer Science Division of the Department of Electrical Engineering and Computer Sciences. More Info >At Berkeley he co-founded and directed the Algorithms, Machines and People Laboratory (AMPLab), a leading academic big data analytics research center known for creating industry-changing open source Big Data software including Apache Spark and BDAS, the Berkeley Data Analytics Stack.

Michael also founded and was chief technology officer of Truviso, a data analytics company acquired by Cisco Systems. He received the Ph.D. in Computer Science from the University of Wisconsin in 1993, a Master of Software Engineering from the Wang Institute of Graduate Studies in 1986, and the B.S. in Computer and Information Science from the University of Massachusetts in 1983.

Piers nash

Piers is an IBM global solutions consultant for genomics & healthcare. Previously he was the director of business development at the University of Chicago’s Center for Data Intensive Science, which develops analytics around large scientific data sets in one of the world’s largest multi-purpose science clouds.

Prior to the University of Chicago, Piers was the Co-Founder and CSO of BioConnect, an organization connecting investment with innovation to speed commercialization of pharmaceutical developments. More Info >He spent 8 years as an assistant professor running multiple research programs relating to cancer biology, cellular information processing and computational decision making in bimolecular systems.

Piers is published extensively in top-ranked journals including Molecular Cell, Science Signaling, Proteomics, and Journal of Biological Chemistry. He was a post-doctoral fellow at the University of Toronto and holds an MBA from the University of Chicago, a PhD in biochemistry from the University of Alberta, and a bachelors in biochemistry from the University of Guelph.

Rapid nmr fat analyzer

ORACLE comes with an easy to use, highly responsive, touchscreen interface. The software is designed so that anyone can walk up, press the run arrow, and complete an analysis…it’s really that simple.

For those users that want to delve deeper into the system functionality, the software includes advanced data processing capabilities, such as data sorting, system diagnostics, quality control tests, data and system export, LIMS connectivity, USB output, and many others.

Rob gatto

Rob is a seasoned technology executive with over 30 years of experience operating the go to market functions of technology companies. He has experience with companies ranging in size from initial stage start-ups to over $1b in annual revenue, and areas of expertise include: sales, marketing, channel development, business development, consulting, operations and corporate development.

More Info >Rob has served in the following roles during his career: Chief Operating Officer as Tubemogul, a programmatic video platform; Senior Vice President, Global Sales, at NeuStar, Inc. an information services company;

President of Aggregate Knowledge, Inc., a media analytics firm; Chief Executive Officer of Point Roll, Inc., a provider of digital marketing technology, and VP Sales ShopLocal Inc. a provider of localized digital marketing solutions for retailers. Rob holds a B.S. in Communications from Northern Illinois University.

Sales and marketing advisory board

Ocient has also formed an Sales and Marketing Advisory Board comprised of industry-leading experts in the key applications, sales, marketing and distribution areas that Ocient utilizes in building channels for and selling its products. Each Sales and Marketing Advisory Board member combines a strong academic background with real-world career experience that is relevant to Ocient. The Sales and Marketing Advisory Board includes:

Taylor rhodes

Taylor Rhodes joined SMS Assist in 2021 as chief executive officer, where he is responsible for the creation and implementation of the company’s vision, strategy and operations. He focuses on the combination of an engaging company culture, technology innovation and a customer-first service orientation to differentiate SMS Assist from its competitors.

More Info >Taylor joined SMS Assist with two decades of technology and services leadership experience, most recently as CEO of Rackspace, the number one managed cloud company. After joining Rackspace in 2007, he was part of the leadership team that led its growth from a cloud pioneer to an industry leader with more than $2 billion in revenue.

Under his leadership, Rackspace was consistently recognized as a technology and customer service leader in Gartner’s® Magic Quadrant, the annual ranking of top competitors in the cloud industry. It was also named #2 Best Midsize Employer by Forbes for 2021.

Before joining Rackspace, he served as a senior leader in enterprise, financial and corporate strategy roles at Electronic Data Systems and Automatic Data Processing Systems. Taylor is a former US Marine Corps infantry officer and holds an MBA from the University of North Carolina at Chapel Hill.

Technical advisory board

Ocient has also formed a Technical Advisory Board comprised of industry-leading experts in the key technology areas that Ocient utilizes in the development and operation of its service. Each Technical Advisory Board member combines a strong academic background with real-world career experience that is relevant to Ocient. This group includes:

The ultimate guide to rapid prototyping for product development

Prototyping is a crucial part of the product development process, but traditionally, it has been a bottleneck.

Product designers and engineers would create makeshift proof-of-concept models with basic tools, but producing functional prototypes and production-quality parts often required the same processes as finished products. Traditional manufacturing processes like injection molding or CNC require costly tooling and setup, which makes low-volume, custom prototypes prohibitively expensive.

Rapid prototyping helps companies turn ideas into realistic proofs of concept, advances these concepts to high-fidelity prototypes that look and work like final products, and guides products through a series of validation stages toward mass production.

With rapid prototyping, designers and engineers can create prototypes directly from CAD data faster than ever before, and execute quick and frequent revisions of their designs based on real world testing and feedback.

In this guide, you’ll learn how rapid prototyping fits into the product development process, its applications, and what rapid prototyping tools are available to today’s product design teams.

Rapid prototyping is the group of techniques used to quickly fabricate a scale model of a physical part or assembly using three-dimensional computer-aided design (CAD) data. Because these parts or assemblies are usually constructed using additive fabrication techniques as opposed to traditional subtractive methods, the phrase has become synonymous with additive manufacturing and 3D printing.

Additive manufacturing is a natural match for prototyping. It provides almost unlimited form freedom, doesn’t require tooling, and can produce parts with mechanical properties closely matching various materials made with traditional manufacturing methods. 3D printing technologies have been around since the 1980s, but their high cost and complexity mostly limited use to large corporations, or forced smaller companies to outsource production to specialized services, waiting weeks between subsequent iterations.

The advent of desktop and benchtop 3D printing has changed this status quo and inspired a groundswell of adoption that shows no sign of stopping. With in-house 3D printing, engineers and designers can quickly iterate between digital designs and physical prototypes. It is now possible to create prototypes within a day and carry out multiple iterations of design, size, shape, or assembly based on results of real-life testing and analysis. Ultimately, the rapid prototyping process helps companies get better products to market faster than their competition.

Rapid prototyping elevates initial ideas to low-risk concept explorations that look like real products in no time. It allows designers to go beyond virtual visualization, making it easier to understand the look and feel of the design, and compare concepts side by side.

Physical models empower designers to share their concepts with colleagues, clients, and collaborators to convey ideas in ways not possible by merely visualizing designs on screen. Rapid prototyping facilitates the clear, actionable user feedback that is essential for creators to understand user needs and then refine and improve their designs.

Design is always an iterative process requiring multiple rounds of testing, evaluation, and refinement before getting to a final product. Rapid prototyping with 3D printing provides the flexibility to create more realistic prototypes faster and implement changes instantly, elevating this crucial trial and error process.

A good model is a 24-hour design cycle: design during work, 3D print prototype parts overnight, clean and test the next day, tweak the design, then repeat.

With 3D printing, there’s no need for costly tooling and setup; the same equipment can be used to produce different geometries. In-house prototyping eliminates the high costs and lead time associated with outsourcing.

In product design and manufacturing, finding and fixing design flaws early can help companies avoid costly design revisions and tooling changes down the road.

Rapid prototyping allows engineers to thoroughly test prototypes that look and perform like final products, reducing the risks of usability and manufacturability issues before moving into production.

Thanks to a variety of available technologies and materials, rapid prototyping with 3D printing supports designers and engineers throughout product development, from initial concept models to engineering, validation, and production.

Concept models or proof-of-concept (POC) prototypes help product designers validate ideas and assumptions and test a product’s viability. Physical concept models can demonstrate an idea to stakeholders, create discussion, and drive acceptance or rejection using low-risk concept explorations.

The key to successful concept modeling is speed; designers need to generate a wealth of ideas, before building and evaluating physical models. At this stage, usability and quality are of less importance and teams rely on off-the-shelf parts as much as possible.

3D printers are ideal tools to support concept modeling. They provide unmatched turnaround time to convert a computer file into a physical prototype, allowing designers to test more concepts, faster. In contrast with the majority of workshop and manufacturing tools, desktop 3D printers are office-friendly, sparing the need for a dedicated space.

As the product moves into the subsequent stages, details become increasingly important. 3D printing allows engineers to create high-fidelity prototypes that accurately represent the finished product. This makes it easier to verify the design, fit, function, and manufacturability before investing in expensive tooling and moving into production, when the time and cost to make change becomes increasingly prohibitive.

Advanced 3D printing materials can closely match the look, feel, and material characteristics of parts produced with traditional manufacturing processes such as injection molding. Various materials can simulate parts with fine details and textures, smooth and low-friction surfaces, rigid and robust housings, or soft-touch and clear components. 3D printed parts can be finished with secondary processes like sanding, polishing, painting, or electroplating to replicate any visual attribute of a final part, as well as machined to create assemblies from multiple parts and materials.

Engineering prototypes require extensive functional and usability testing to see how a part or assembly will function when subjected to stresses and conditions of in-field use. 3D printing offers engineering plastics for high-performance prototypes that can withstand thermal, chemical, and mechanical stress. The technology also provides an efficient solution for creating custom test fixtures to simplify functional testing and certification by gathering consistent data.

Having a great prototype is only half the battle; a design has to be repeatedly and economically manufacturable to become a successful final product. Design for manufacturability (DFM) balances the aesthetics and functionality of the design while maintaining the requirements of the end product. DFM facilitates the manufacturing process to reduce the manufacturing costs and keep the cost per part below the required level.

Rapid prototyping allows engineers to create small-batch runs, one-off custom solutions, and sub-assemblies for engineering and design validation (EVT and DVT) builds to test manufacturability.

3D printing makes it easier to test tolerances with the actual manufacturing process in mind, and to conduct comprehensive in-house and field testing before moving into mass production. 3D printed parts also support production, with prototyping tools, molds, jigs, and fixtures for the production line.

With 3D printing, design doesn’t have to end when production begins. Rapid prototyping tools allow designers and engineers to continuously improve products, and respond quickly and effectively to issues on the line with jigs and fixtures that enhance assembly or QA processes.

Оставьте комментарий