Artificial intelligence – better known How can I use AI to gain a competitive advantage?” It has simply as AI – has taken the technology world by storm. Countless business leaders find themselves wondering, “definitely become a high-tech version of keeping up with the Jones’ and therein lies the problem. Many are deploying AI technology that falls within the realm of novelty, with little to no real ROI.
But there is a solution: focus on ROI from day one and plan to develop technology that brings a clear benefit in terms of productivity, efficiency and profitability. AI case studies are an extremely beneficial tool for developing machine learning-driven artificial intelligence platforms. But what is an AI case study? And how do you use these case studies to your benefit as you plan your next Digital Transformation project?
What’s in an AI Case Study?
Well-developed AI case studies provide valuable information and insights, especially during the process of selecting an artificial intelligence development partner and planning your Digital Transformation project with a software requirements document (SRD) and business requirements document (BRD). These documents are critical for effectively integrating AI into your Digital Transformation strategy.
An AI case study will contain a wealth of information, including the following.
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- The Problem – The case study will examine the problem or challenge that served as the impetus for the AI project. Ideally, the “problem” ought to be comparable to your own, although you can still find value in a case study with a completely different challenge; you simply need to keep this differential in mind as you review the case study.
- The Solution and Project Scope – The case study should discuss the “solution” that was developed with machine learning-powered AI as a primary component of the equation. The scope of the project is typically discussed in depth, providing readers with a clear idea of precisely what the AI development project entailed.
- Development Challenges – The case study ought to mention any roadblocks or issues that had to be overcome during the course of the AI development project.
- The Outcome – A case study usually explores the efficacy of the project, with reflections on AI ROI and how well the project met the established KPIs. There may also be mention of what they may have done differently or any subsequent rounds of development and what those additions and/or modifications entailed.
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AI case studies may also offer insights into what it’s like to work with a prospective artificial intelligence development partner.
How to Use an AI Case Study to Your Advantage
Case studies are an extremely valuable tool for finding the perfect AI development partner and establishing the ideal project specs and scope. Consider these common take-aways for artificial intelligence projects.
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- The Type of AI and Machine Learning Models – AI is a rapidly emerging and fast-evolving technology. The case study ought to discuss the type of AI and machine learning models that were utilized. For instance, there will likely be mention of whether the AI solution used single modal or multimodal machine learning and why that technology was selected.
- Development Challenges and Lessons Learned – Every project will encounter a roadblock or challenge. You’ll maximize your chances of success when you’re aware of potential pitfalls and lessons learned. With these issues in mind, you can take measures to avoid potential snares as you pursue your own AI development project.
- What It’s like to Work With a Development Partner – AI case studies will offer insights on what it’s like to work with a particular development company. A review of multiple case studies will provide a good sense of a developer’s strengths and work portfolio. This information is invaluable when you’re choosing a development partner.
- The Development Company’s Area of AI Specialty – AI is rapidly-emerging technology with countless applications. Each company will have an area of specialty, such as an industry-specific application or a particularly advanced machine learning model. This area of specialty ought to align with your own needs for AI technology.
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Choosing the Best AI Development Company as a Partner for Your Next Project
At 7T, we specialize in multimodal machine learning-powered AI applications across several industries such as shipping and logistics, finance, retail and beyond. By working with a top Dallas Digital Transformation development company that has experience working with the newest emerging technologies such as machine learning-powered AI, you’ll maximize your chances of success with quantifiable KPI metrics and ROI.
At 7T, we’ve developed an eBook that outlines the most common causes of Digital Transformation failure and how these issues can be avoided. What’s more, we’ve earned a reputation as one of the top Dallas Digital Transformation companies, with a Digital Transformation development process that maximizes your chances of success with a problem → solution approach. We’ve found that this works whether it’s a machine learning-powered artificial intelligence development project, business process automations, mobile app development or another form of Digital Transformation. It all begins with a well-thought-out Digital Transformation strategy and a business requirements document that outlines the specs for your project, the user needs and the problems that you’re trying to solve through the implementation and deployment of new technologies.
The Digital Transformation development team here at 7T is guided by the approach of “Digital Transformation Driven by Business Strategy.” As such, the 7T development team works with company leaders who are seeking to solve problems and drive ROI through Digital Transformation and innovative business solutions such as multimodal machine learning-powered AI implementations.
7T has offices in Dallas, Houston and Austin, but our clientele spans the globe. If you’re ready to learn more about AI development solutions and other Digital Transformation technologies, contact 7T today.
