The Client developed a specialized niche platform designed to streamline logistics for the cell and gene therapy (CGT) sector. Its innovative, expert solution offers a centralized, seamless interface that allows users to book, manage, and track shipments with multiple specialty couriers, including World Courier, Marken, and QuickStat.
Tag: Build Your Software Team
The Client has a start-up business in the United States. This Client is focused on the recruitment technology market. Its business focuses on improving efficiency and quality of the complex process of sourcing in the recruitment industry. The Client business mission is to leverage artificial intelligence (AI) to improve the efficiency and speed of sourcing the best candidates.
AI and LLMs Support Developer and DevOps Productivity
A recent Copilot study revealed an interesting fact about the use of AI and Large Language Models (LLM) in the software development process. The study included developers from Microsoft, Accenture, and a Fortune 100 electronics firm and reported a 26% boost in productivity, increasing output from the usual eight hour workday to what amounts to ten hours of traditional output. This improved output increased even more for less experienced developers.
By leveraging Artificial Intelligence (AI) and Large Language Models (LLM), the DevOPS organization can greatly improve output, code quality, developer productivity and consistency. As businesses embrace the collaborative and team-oriented concepts of DevOps, the use of AI and LLMs can be utilized across the organization, and forward-thinking organizations are looking at the set of practices in DevOps (software development IT operations) to automate processes and accelerate the software development lifecycle.
Where software vendors employ these techniques, clients, customers and end-users can benefit from this approach. The development team can work more quickly and efficiently to satisfy requirements, design, develop and test and deploy, so business projects can be completed more rapidly and dependably.
If a business is considering a vendor or a software product for implementation within the walls of the enterprise, it is worth asking the prospective vendor and service provider how they are currently using cutting-edge technology to improve their development process and lifecycle.
Elements and Aspects of AI in Software Development
Prompt Engineering uses natural language interfaces to study interactions with and the programing of LLM computation systems to enable complex problem solving, looking for patterns and focusing on reusable solutions. Infrastructure-as-Code (IaC), Code-as-Data and CodeQL LLMs support developers by exploring the code, studying requirements and documentation and analyzing infrastructure to find issues and inconsistencies.
Automated Code Generation allows the development team to optimize testing and deployment. Developers can use AI code review tools like Codiga and testing tools like DiffBlue Cover to review and analyze code and find issues, and AI-based code generators like GitHub and Copilot.
Generative AI (GenAI) leverages LLMs to streamline the steps in the development process, including analysis of requirements, coding and testing.
Natural Language Processing (NLP) enables code generation with machine learning and produces suggestions to develop or complete code, thereby reducing the occurrence of human error and allowing developers to focus on other, more complex aspects of code and development.
Testing and Debugging can be automated to detect and address bugs, inefficiencies and vulnerabilities in the code. These tools can be used to generate unit tests, create test cases and increase the effectiveness of the testing phase to improve overall quality.
Translation Tools enable translation of other programming languages for projects where the team must migrate code to other programming languages. The process uses large language models to complete the translation, leaving developers free to focus on architecture.
Documentation Support includes development of documents for code comments, regulatory requirements etc. Prompt Engineering generates summaries and answers questions and provides examples so developers who review the code for later upgrades have appropriate documentation to support the software evolution.
Project Management for all of DevOps is supported by automated routines and integration of information and documentation throughout the process, monitoring system performance, analyzing test results and optimizing implementation. The ongoing analysis of test planning, data migration, compliance documentation and architecture supports the entire DevOps team.
If your business wishes to improve productivity, timelines, budgets and dependability of in-house applications, you will want to find a vendor and service provider who appropriately employs AI and LLMs to support its development model. If you are planning to engage an IT expert to augment your own software product or solution, it is wise to look for this capability when you interview prospective partners. Contact Us to find out how to integrate AI and LLM capabilities into your software project, website, analytics initiative or other project. Explore our free White Papers: ‘What Is AI And How Can It Help My Business,’ and ‘The Practical Use Of GenAI In BI And Analytics Tools.’
The Client is a full-service financial firm specializing in mortgage solutions, investment opportunities, and loan servicing. The company provides a robust platform for investors, borrowers, and loan applicants, offering tailored financial products and streamlined processes to enhance accessibility and efficiency. With a strong focus on compliance, risk management, and customer-centric services, it provides solutions for its clients to easily navigate the complexities of mortgage financing while ensuring a seamless experience.
The Client is a renowned refinery and industries business in India with a global business. It produces soy bean, refined rice bran, coconut and other related edible oils, as well as personal care oils, bio-diesel and speciality fats. The Client provides cost-effective solutions through augmented productivity, innovation and economies of scale and is committed to cutting-edge technology and processing to achieve its vision and a competitive advantage.
The Client is a start-up healthcare technology company, based in the United States. It takes a holistic approach to overall health by focusing on nutrition and lifestyle, with the goal of decelerating the aging process and providing better quality of life.
The Client is a global discount grocery and supermarket chain headquartered in Germany, with locations in over thirty (30) countries spanning Europe, the U.S., and Asia. The Client is known for its cost-efficient model, private-label products, and no-frills shopping experience, and offers high-quality goods at lower prices.
The MVP Approach Improves Start-Up Apps and Software Products
If your business is a start-up, with a concept for an application, a software product or a website to sell to the public or provide business to business (B2B) or business to consumer (B2C) solutions, you know how challenging it can be to get your product off the ground. It takes a lot of investment, resources and time and, if you miss the mark, if there are gaps in your solution, or if you produce a solution with security or compliance issues you will ruin your reputation and your prospective customer base will go elsewhere.
‘By working with an IT partner whose team is expert in Minimum Viable Products (MVP), the business can quickly and easily define requirements and develop a product to gain insight and perspective into the market, business assumptions and customers.’
Studies reveal that 44% of startups fail because of a shortage of cash flow. That means that your start-up business must jealously guard its investments and spend money wisely. Rapid scale and injudicious expenditure and development results in a 74% failure for those start-ups that expand too rapidly and without the required knowledge of what their customers want and need.
The Author of The Lean startup, Eric Ries, coined the term ‘Minimum Viable Product’ to define product development that incorporates a learning period in which the business can develop a simple, illustrative product with minimal features to test its theories about customer requirements, marketing, user interface, and he market using a short development cycle and minimum investment.
Minimum Viable Products (MVP) provide numerous benefits without expensive, time-consuming product development and allow the business to learn from the initiative and invest that learning into the final product, with plans for upgrades, etc.
- Reduce Risk – The business can avoid the risk of producing a product that suffers from overkill and provides expensive features that customers don’t want or need. It is tempting to add all the bells and whistles but the features your customers want may be very different than what your marketing team and IT team see as the vision.
- Mitigate Expenses – The business can limit its investment and avoid having to engage and attract investors and funding.
- Rapid Development – MVPs can be developed very quickly, because they entail only the minimum features and are designed to get customer feedback and to prove technology and functionality theories.
- Customer Feedback – Customers can see and use the features and provide valuable feedback which helps the business define a final product roadmap and makes customers feel more invested in the process thereby ensuring a better user adoption rate.
- Marketing and Advertising – The business can hear and incorporate valuable information from customers to define and hone its marketing messages.
By working with an IT partner whose team is expert in Minimum Viable Products (MVP), the business can quickly and easily define requirements and develop a product to gain insight and perspective into the market, business assumptions and customers.
- Create a basic product with the crucial feature set
- Design and employ a customer feedback loop to incorporate and integrate customer comments and experiences into the final product or iterate future versions
- Create a product launch without all the fanfare of a final launch and the expense of marketing and advertising to build buzz and customer excitement.
- Limit initial investment to ensure that the idea works before investing a lot of capital and resources.
- Better understand pricing strategies and product upgrade schedules.
‘Minimum Viable Products (MVP) provide numerous benefits without expensive, time-consuming product development and allow the business to learn from the initiative and invest that learning into the final product, with plans for upgrades, etc.’
Explore our expert Minimum Viable Product (MVP) services. Discover our Software Application And Maintenance Services, Software Application Development Services and ongoing technology support. Build Your Software Team using our resources, skills and experience. Our flexible services can provide welcome relief to your busy IT staff, and our core value and benefit to the organization is undeniable. Contact Us to find out more about our Partnerships.
Original Post: Minimum Viable Products Enable Swift Start-Up and Product Insight!
The Client organization is comprised of a team of Cell and Gene Therapy (CGT) experts who provide support for biotech and biopharma industries to help these organizations through the development process and achieve commercial success. The Client provides secure, compliant IT ecosystems, a platform and services to support positive outcomes and make a meaningful impact, contributing to innovations that have the potential to transform the lives of patients and their families.
Artificial Intelligence (AI) Can Take Apps to the Next Level!
The renowned technology research firm, Gartner, predicts that by 2027, ‘more than 50% of GenAI models in use by enterprises will be specific to either an industry or a business function.’
