Artificial Intelligence

Consumer Choice Award Case Study: How a Custom AI Data Platform Brought Research In-House

Consumer Choice Award (CCA) relied on an external research provider to help determine its award winners. The results arrived as a finished report, leaving CCA with limited visibility into the underlying analysis and little control over how its research process evolved.

ISU Corp built Consumer Choice Research, Data & Insights (CCRDI), a custom AI data platform that brings data collection, sentiment analysis, and business rankings into one system. The platform was delivered in four months. It is now in active use, with ongoing support and further AI capabilities being planned.

Project Snapshot

Industry: Market Research and Consumer Intelligence
Engagement: Custom AI Platform Development, Ongoing Support and Planned AI Expansion
Solution: Consumer Choice Research, Data & Insights (CCRDI)
Technologies: Python, FastAPI, GPT-4o, NumPy, Pandas, NestJS, React, Tailwind CSS, AWS ECS Fargate, RDS PostgreSQL, Google Places API

The Challenge

CCA’s awards depend on identifying businesses that have earned consumer trust. Yet its previous research process depended on purchasing a report from an outside provider. CCA received the outcome without the visibility or control it needed over the data, methodology, and ranking process behind it.

As the award program grew, CCA needed a way to research larger markets, assess consumer feedback consistently, identify suspicious review activity, and explain why a business ranked highly. It also wanted to build that capability into a platform it could develop and use internally, rather than continue relying on an external report.

The Solution: A Custom AI Data Platform

ISU Corp designed and built CCRDI to manage the research workflow from data collection through analysis, rankings, and reporting. The platform gives CCA’s team a central place to examine markets, evaluate businesses, and produce reports supported by the underlying data.

Automated Data Collection

CCRDI gathers business reputation and market data from sources that include Google Places, other online sources, and CCA’s own data. Geographic searches help the team identify businesses within each market. Automated daily, weekly, and monthly data collection reduces manual research effort.

The data pipeline also incorporates signals such as online reputation, digital presence, and business longevity. ISU built it to support analysis across large geographic areas, including provincial markets.

AI Sentiment Analysis and Rankings

The platform uses AI to analyze consumer reviews and identify the factors that matter within a business category, such as service or price. A Python-based ranking engine then combines the relevant inputs to assess businesses within a market.

CCRDI also flags potential review fraud and review-gating anomalies, helping CCA account for activity that could distort a ranking. Instead of receiving only a final result, analysts can examine the factors behind it and use a documented process to explain why a business was recognized.

Dashboards and Reports

CCA’s market analysts and report specialists use a web application to explore rankings, compare businesses, and monitor research activity. The platform includes market views, competitive visualizations, and branded PDF reports.

Those reports give award winners a clearer account of their results and a growth roadmap. They can also show competing businesses where gaps exist and where they may have room to improve.

Business Impact

In four months, ISU Corp delivered an operational platform that brought CCA’s research and ranking workflow in-house. CCA can now examine the data behind its decisions, produce supporting reports, and continue developing the platform as its research needs change.

CCRDI has enabled CCA to:

  • Bring research in-house: Replace a previously outsourced research process with an internal platform.

  • Scale market analysis: Process data for entire provincial markets in a weekend.

  • Explain rankings: Examine the factors behind results and produce supporting reports.

  • Strengthen review analysis: Identify suspicious review patterns that could affect award integrity.

  • Improve analyst visibility: Give the team direct access to market and competitive insights.

ISU Corp continues to provide ongoing software maintenance and support, while planning a new development phase to expand the platform’s AI-powered analysis capabilities.

Looking to Bring a Critical Process In-House?

When an external provider controls the data or process behind a core business decision, it can be difficult to adapt the methodology, explain the results, or build on the work over time.

ISU Corp builds custom software and AI platforms for organizations with complex data and operational workflows. If you are considering how to replace an outsourced process, connect fragmented data sources, or give your team better tools to make and explain decisions, we would be happy to discuss your project.

Talk to ISU Corp about your custom software project.

Sam Altman on The Accidental Success of Artificial Intelligence

Sam Altman recently came on the Joe Rogan podcast and they had a very casual conversation about the trajectory of AI. This conversation looked at what AI means for the future, the yin and yang of the technology, Sam’s original expectations for his creation (OpenAI), and ultimately what this revolution means in a broad sense.

Sam reflects on some of the biggest innovations in history and outlines similarities to what’s going on with AI. He claims that every evolution in technology throughout history is connected and AI is sort of the end of the rope.

To be honest, this kind of dialogue is very common as the general public’s ideas surrounding AI are still forming. But without a firm grasp on what’s already available - how can we as leaders in tech hold ourselves accountable to help drive the right kind of change?

What Altman outlines in this interview is very interesting, especially when he says that the chain of reactions he expected (10 years ago) for AI taking on jobs followed a ladder like this:

  1. Blue collar labor

  2. Cognitive labour

  3. Creative jobs

He then said that this original prediction ended up being exactly the opposite and that at the moment AI can’t take on entire jobs - but it can help with tasks in people’s jobs to boost productivity.

The Unexpected

Altman’s key insight was that the development and evolution of AI and artificial general intelligence (AGI) may not follow a predetermined or straightforward path. He suggests that the future of AI and AGI may be more gradual and continuous than previously thought, with ongoing refinements, improvements, and challenges along the way.

The biggest takeaway here is how dramatically artificial intelligence has surpassed our expectations. It continues to do so, which raises questions about AGI and how the potential of these systems' self-improving is both exciting and somewhat unpredictable.

As we continue down this path of unexpectedness, one thing that’s critical for businesses and consumers to do is leverage. Leverage every AI tool at your disposal, experiment with them, and spend time with them. The more familiar you become - the better equipped you'll be.

What’s Next? 

Artificial Intelligence is very unpredictable as we know, but as a business owner, you have the ability to call the shots necessary to succeed. It starts with understanding opportunities for growth, and being proactive in how you approach them. 

That’s why we created the AI Tool - to show businesses where their deficiencies are, and then help them make the right changes. At ISU Corp, our team of AI experts is here to help you succeed long-term!

P.S.

This blog was 99% AI-generated.

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ISU Corp is an award-winning software development company, with over 17 years of experience in multiple industries, providing cost-effective custom software development, technology management, and IT outsourcing.

Our unique owners’ mindset reduces development costs and fast-tracks timelines. We help craft the specifications of your project based on your company's needs, to produce the best ROI. Find out why startups, all the way to Fortune 500 companies like General Electric, Heinz, and many others have trusted us with their projects. Contact us here.

 
 

Top Programming Languages in High Demand

No matter how advanced Artificial Intelligence or Machine Learning gets, programming languages remain the foundation of a well-rounded software system, interface, automation tool, you name it. We’ve been in this game for over 18 years, and we’ve seen changes and downturns of all sizes, yet still, we’re able to overcome adversity because of the immense level of value that comes from customized IT solutions.

It’s truly been amazing to see the innovation and evolution of software development, tools, and of course programming languages and how we leverage them. Today there are a handful of languages in-demand that developers should think about for their careers in addition to personal projects. To give you an example, for data science - Python, for web development - JavaScript, and for systems programming - Rust.

When you're a company delivering custom IT solutions, your programming languages need to be categorized to meet the needs of each industry you serve. For example, the languages we use to approach a LIMS system implementation in a laboratory are going to be a lot different than how we approach web development. It’s the small details that matter in software development; by 2024, it’s expected that there will be 28.7 million software developers globally. 

How can these upcoming developers prepare themselves for such a competitive landscape? By mastering the basics and those small details.

The Basics of Code

The most basic it can get when it comes to software development is understanding that every line of code, every variable declaration, and every algorithmic choice plays a crucial role in crafting your solution. When we look at programming languages in a broad sense we can categorize them into three distinctions: 

Interpreted languages: Translates code into machine code on the fly which is great for rapid development and prototyping. Some languages include JavaScript, PHP, and Python.

Compiled languages: These tend to be faster and more efficient than interpreted languages, as the code is translated directly into machine code which is great when developing performance-critical applications like a video game or operating system. Some languages include C, C++, and Java.

Scripting languages: Task automation and web development are the bread and butter of these languages. They’re often paired with other programming languages to create more complex applications. Some of these languages include JavaScript, Python, and Perl.

What’s in Demand?

We’re witnessing a massive shift in the way we interact with technology; everything is becoming automated and simplified which has a massive influence over which programming languages are used most. With that said, here is what we’ve organized as some of the most in-demand programming languages right now:

TypeScript/JavaScript

TypeScript and JavaScript stand out as highly sought-after languages in the landscape for many reasons but the key ones to note are:

  • Their prevalence in web development.

  • Their versatility in everything from front-end and back-end development to the creation of mobile applications.

  • It’s ability to help developers identify and rectify errors at an early stage of the development cycle.

C#

Developed by Microsoft, C# is a great language for Windows desktop applications, web development, and video game development. It's in high demand because of its power, ease of learning, and broad industry applications.

PHP

PHP is a server-side scripting language that’s also great for web development due to its simplicity and compatibility with different web servers and databases. It's particularly popular in industries like e-commerce, social media, and any content management systems.

Python 

Python is inevitable in terms of popularity. It’s a versatile, widely used high-level programming language known for its simplicity and readability. It finds applications in scientific computing, data analysis, AI, web development, and more. Its popularity has surged recently, making it especially highly in demand right now among beginners due to its user-friendly syntax and library support. Key benefits today for developers using Python to note:

  • Hundreds of libraries and frameworks.

  • Widely used in big data, machine learning, and cloud computing.

  • A first-choice language for many developers, due to its simplicity.

  • High demand for the language = bigger salary

Ruby

Ruby is primarily used in web development. It’s best known for its simplicity and readability and is in high demand across industries that also include e-commerce, social media, and content management systems. Ruby on Rails, a popular web framework, further bolsters its use in web development.

Java

Java is a general-purpose, object-oriented programming language valued for its portability, security, and scalability. It’s extensively used in mobile app development, web applications, and enterprise software across a ton of different industries.

GO

GO is a newer age language that Google created 15 years ago to address some of the problems they were facing while developing their software infrastructure. GO was created to be a programming language that was easier to use but still had the useful characteristics of Java and C++. Knowing GO today is great for system and network planning as well as large-scale distributed systems. It’s also good to use for cloud-native apps.

C/C++

This is great for building a foundation for many other programming languages, which when you’re trying to learn to program can be invaluable. C/C++ is still heavily used in many industries, including gaming, finance, and aerospace which would present some great job opportunities for developers looking for work today. It’s often used for system programming, embedded systems, and high-performance applications.

Building Your Programming Arsenal

When you’re looking at prioritizing which programming language to learn, several key factors should be taken into account:

Type of Application: The kind of application you’re looking to develop is the most critical factor. Your choice of language has to align with the requirements and characteristics of your project.

Complexity of the Application: The complexity of your project plays a big role in influencing what you use. Make sure that what you select is well-suited to handle the intricacy of your application.

Efficiency: Language efficiency is essential, especially for performance-critical applications (Video games, medical imaging systems, transaction processing systems, etc.). Consider whether the language can meet your requirements for speed and resource optimization.

Ease of Learning: The ease of learning the language is obviously super important for beginners. Opt for a language with a beginner-friendly syntax if you're just starting.

Availability of Resources: While valuable, the availability of resources like documentation and community support is a secondary consideration. It should support your choice of language rather than dictate it.

The Takeaway

There’s a lot that goes into even the most basic principles of programming. That’s why when your company is looking for someone to take on an important project - you need a team of experienced professionals who can guide you to success.

ISU Corp specializes in project takeovers and software outsourcing - we’d love to match your problems with our solutions. But for developers on the come up in the market, the best thing you can do is be as versatile as possible, because that’s what companies need to thrive.

Written By Ben Brown

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ISU Corp is an award-winning software development company, with over 17 years of experience in multiple industries, providing cost-effective custom software development, technology management, and IT outsourcing.

Our unique owners’ mindset reduces development costs and fast-tracks timelines. We help craft the specifications of your project based on your company's needs, to produce the best ROI. Find out why startups, all the way to Fortune 500 companies like General Electric, Heinz, and many others have trusted us with their projects. Contact us here.