software

How Does AI Consulting Work?

AI consulting services are the next step for software development companies during the next decade. Why do I say this? It’s simple; the job of a software developer is becoming less hands-on and more focused on orchestrating complex systems. Companies know that the shift demands a strategy, how that strategy is executed however is up to the business. In this article, we’ll be going over the AI consulting route, a strategy that helps software development companies continue to add value in an evolving tech landscape. 

The introduction of AI has presented an opportunity, not a threat, to companies working in custom software development. The decades of expertise leading up to this point have given us the knowledge required to push companies forward using new technologies. However, the most challenging aspect, which has been difficult for years, is finding that perfect match and getting companies and clients to embrace the change. However, this is what’s going to make AI consultancy so inextricably valuable during this time of change. 

How Years of Software Development Have Prepared Us For AI

Artificial Intelligence seemed to form a rain cloud over businesses that are now scrambling for a cover, that is, a new strategy. However, these companies working in Marketing, Retail, Finance, Healthcare, you name it, might lack the required expertise to effectively execute a digital transformation with AI. But like any change, a little guidance can make a world of difference. 

Software development before modern tools has forged a toolkit for providers that directly carries over to success with analyzing businesses and integrating AI. Here are 3 key carryovers:

Agile Development: We’ve recently talked about the benefits of agile development with AI but it’s certainly worth a reiteration. Agile methodology aligns significantly with the iterative nature of AI development, a context where models are trained, evaluated, and refined over and over. The experience gained from agile development methodologies will be great when identifying opportunities and eventually integrating AI since it facilitates efficient development and adaptation to evolving requirements.

Data Management and Processing Ability: Software development has always been about working with mass amounts of data since applications need to analyze and manage large volumes of it. This experience has provided a solid foundation for AI, where again, data plays a crucial role. Software developers have expertise in data modelling, database management, and manipulating data, which are all going to be essential for AI algorithms to learn and perform up to standard.

Algorithmic Thinking: Breaking down a complex problem into micro steps like you would when writing code is going to serve well when approaching Machine Learning algorithms. What algorithmic thinking does here is slow you down and allow you to identify the specific objectives, data requirements, and preprocessing steps necessary for the system.

So first of all, what does a company look for in an AI consultancy? Well, it isn’t just one thing, it’s going to be unique in every case, but the following questions are typically the best to have answers to before seeking help:

  1. How critical is it for you to implement an AI solution?

    • What does your company stand to gain from implementing AI? Before you can expect consultants to deliver you a high-quality product, you must first understand and believe in the vision. 

  2. Does your consultant know what they’re doing?

    • It might seem like an oxymoron but depending on the consultant's background, their experience levels with AI and your industry can vary. Look for the ones who have been around for a while and who have a deep understanding of AI technologies in addition to relevant industry experience.

  3. How will an AI system align with your business objectives?

    • Is your staff prepared to handle a new system? Companies that have succeeded for decades know that any changes made to workflows need to align with the company's values and goals. 

It’s the small details that make a big difference when it comes to selecting an AI consultant. But just like any software project, companies have to understand the purpose of integration.

Working With Your Chosen Consultant

Okay, so you’ve found someone you’re comfortable with - you’re confident in the vision behind your AI digital transformation, you work out the details with your consultant and now it’s time to get to work… What does the process look like?

When collaborating with an experienced team, the initial step involves conducting an assessment of your current software development resources and initiatives. What this assessment will do is identify any gaps or shortcomings in your current approach. These gaps are going to be the focus of your work together as it’s where you’re going to implement the solutions. 

Next, you’re going to go over it together. By doing so, you can align on the specific challenges and areas that require attention.

During these discussions, the team will want your input and gather additional context about your priorities. This approach with an emphasis on collaboration ensures that the proposed solutions are not only appropriate but align with your strategy and vision so that they can be sustained long-term. Then, you’ll take a look at the recommendation outline which is where you’ll see the solution proposals. You can then give your input and begin to think about logistics.

Beyond this, the process becomes focused on refining and implementing the solutions. It will prioritize user training, as your team will need to understand the unique aspects and functionalities of the AI solutions that they wouldn’t be able to get answers to anywhere else. 

What is it Going to do For You?

We could list the benefits of AI and make it look pretty but the fact is even the benefits change depending on the context. What AI brings to the table for a finance company won’t be the same as what it brings to a healthcare organization. The true value of AI consultancy is its ability to customize and tailor solutions to your specific industry and business needs.

You’ll walk away with actionable insights and, if you execute them effectively, an infrastructure that will give you a competitive advantage and allow you to scale.

The Takeaway

Trying new things as a business is an ongoing process and it can be very difficult initially but remarkably rewarding down the line. This is a digital world now, and it’s moving towards automation and efficiency. This time is unique in that businesses get to try different things to find what works. The right AI consultant can work wonders for you - but in order to do so, you must be willing to embrace and adapt.

Written By Ben Brown

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.

 
 

How to Use AI-Powered Coding

Programmers are going to have some fun with this one. Picture the start of a typical day as a developer, all the priorities you need to set, preparation for any briefs you’ll get, and then the contingency planning on top of it all. Of course, nowadays with tools like Chat GPT, Visual Studio IntelliCode, and CodeSpace among other resources, the programming process has improved lightyears from what we had 10 years ago. 

With that in mind, let me ask you this (if you are a programmer); how much easier is it to approach a day on the job now compared to when you started programming? Better yet, how much easier would it have been for you to learn to code with the tools available today?

Answers to these questions will vary. A lot of software developers will argue that you need to learn the principles of programming without the “shortcuts” first and then introduce them as you get better. Others will argue that modern programming tools have made it much easier when learning to code and made the process more enjoyable. There really is no right or wrong answer to these questions because it comes down to one thing; these tools are the future. 

The Basics of AI-Powered Coding

AI advancements in the software development space will only get better and make the process more streamlined. Among the many tools programmers are leveraging in 2023, AI-powered code is a top choice to enhance the efficiency and effectiveness of their coding process. 

For the first example, we’re going to be looking at OpenAI’s Codex. Codex is an AI code assembler that uses machine learning to translate natural language into code. Here are 3 examples of using it: 

1. You’re creating a feature that tracks sample inventory in a LIMS system:

You could say to Codex: “Develop a functionality that can record and track the inventory of samples in the laboratory”

Codex will then: 

  • Design a plan for a database that will store the following information: sample ID, sample type, quantity, and location.

  • Implement CRUD (Create, Read, Update, Delete) operations for managing the sample inventory.

  • Develop a user interface that allows users to see and update sample inventory records as they go.

2. You’re creating a feature for insurance software that calculates premiums based on risk factors: 

You could say: “Build a component that calculates insurance premiums for different insurance policies based on factors such as age, location, and coverage type.”

Codex will then:

  • Design a data model that can store policy details, consisting of customer information and risk factors.

  • Develop algorithms that calculate insurance premiums based on the risk factors provided and the parameters of the given policy.

  • Lastly, implement validation checks to ensure the premium calculations are appropriate.

3. Now you want a feature that automatically tracks budgeting and expenses for a FinTech platform:

You could say: “Create an interface that users can use to set budgets, track expenses, and generate reports on overall spending”

Codex will then: 

  • Create the design for the interface where users can input budget categories, set spending limits, and track expenses.

  • Develop algorithms that will categorize expenses based on predefined rules and transaction data automatically.

  • Generate visual reports that users can use to understand their spending habits, see how well they adhered to their budget, and recognize trends in their expenses.

Codex is a great platform, but it’s not the only one. Platforms like Tabnine, Snyk, and IntelliCode all perform unique roles that help software developers perform at the next level— but the key is knowing how and when to utilize them.

What Tools to Use and When

As a software developer, your time down to the second is highly valuable, so anything that can streamline repetitive processes or reduce manual effort is a go. Software depends on context which means that the tools a developer uses will depend on the specific requirements of the project and the developer's preferences.

With that in mind, here are some ways the AI-powered coding tools we’ve mentioned can be used in different situations:

1. Project: You’re building a mobile app for a transportation company

Tabnine will be a great resource in this case to handle the following: 

  • The coding process for the mobile app will be shortened thanks to Tabnine’s code completion ability.

  • The system can give suggestions for implementing features such as map integration, user location tracking, and in-app notifications. 

  • It will get the right APIs involved so that third-party transportation services can be integrated.

    2. Project: You need to design and build a Web App for an E-Commerce store

The Web App development process can become a lot more satisfying using IntelliCode because of the following: 

  • Whether it’s HTML, JavaScript, CSS, Angular, React, Vue.js, or you name the web app development language or framework - IntelliCode can suggest relevant code completions based on the context using Deep Learning algorithms.

  • Because IntelliCode is so great at detecting what is necessary to complete a code, its error-prevention ability is significant

    3. Project: Develop a Node.js-based REST API

Snyk will be great for the security aspect of your REST API. 

  • It identifies any known vulnerabilities in the open-source libraries you're using with your API and then provides insights and actionable recommendations to mitigate these vulnerabilities.

  • The good news is that this is not a one-and-done tool. Snyk can continue to monitor the system over time and keep identifying gaps to fill.

Why AI-Powered Code?

The advantages that come with properly utilizing AI coding tools are immeasurable. Software developers are performing at a new level in today’s world thanks to these advancements. This means that now is the time for a business to get on before you start getting dramatically outperformed. 

AI-Powered code relies on 5 key components which include; the data source, Natural Language Processing (NLP), code parsing, Machine Learning, and most importantly feedback and iteration from the software developer. The interaction aspect is what allows the AI models to refine their predictions and generate accurate, or more contextually appropriate coding suggestions. 

Written By Ben Brown

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.

 
 
 

Why Some Businesses Are Not Ready For Digital Transformation

Digital transformation, as the world knows it, is an exciting concept, especially when companies that succeeded without it make the transition into utilizing digital platforms. However, when it comes to integrating new processes in any business, there is going to be a lot of gray area that needs attention and support. 

Any change that’s worth undergoing demands businesses to step out of their comfort zone and embrace it fully.

A great example of this is IKEA which traditionally required customers to visit physical stores to embark on the customer journey. Flash forward to now, with all the IT innovation the company has implemented, it is said that about 80% of customers start their buying experience with IKEA online.

Change in an organization is never an overnight effort and some studies even suggest it takes upwards of 5 years to a decade for significant change to unfold in a business. Obviously, in 2023, this isn’t an amount of time that any company could survive without implementing some form of digital solutions which means that the demand for guidance with IT solutions is beyond significant. 

With that said, the first thing we need to cover is some of the common struggles businesses generally face when beginning their digital transformation journey:

  1. The leadership team may not fully understand or support the implications of digital transformation, making it difficult to get the necessary funding or resources for the project.

  2. Some businesses may have an outdated IT infrastructure that cannot support their digital transformation goals.

  3. Employees may be hesitant to adopt new technologies or processes, or they simply may not have the necessary skills or training.

  4. Companies that lack proper data management processes and tools will struggle to handle the vast amount of data that digital transformation requires.

  5. Some companies may be hesitant to invest in new technology or processes because they simply don’t have the budget or don’t know how much ROI they will see. 

  6. Companies that are not prepared to handle cybersecurity risks may be hesitant to undergo digital transformation.

  7. Businesses that lack a clear vision for either what they want to gain from digital transformation or how they will implement it are simply not ready to take it on. 

The common thread in all of these scenarios is the need for proper planning. Companies in any industry can mitigate these risks by simply delving deep into analyzing three things:

  • Infrastructure

  • Current processes

  • Resources

With these aspects clearly identified, the organization can start to develop that vision for its digital transformation. When we talk about the “vision” for digital transformation, we’re talking about the big picture. This change is something that everyone in the organization must be aligned with for it to work. 

When we think about the companies who’ve completely remodelled the idea of how they deliver their service (like that of IKEA), we’re looking at companies who’ve done significant analysis and research of their market and resources at their disposal. With that in mind, now it’s time to go over what needs to be considered during analysis and how the findings will lead to execution.

Plan, Then Do

Analysis: The key inspiration for digital transformation is usually a belief that certain processes aren’t as simplified as they should be. Analyzing everything from the back-end infrastructure to the end of the customer buying journey will help identify the pain points. This analysis should ideally involve collecting and analyzing data on:

  • Market trends

  • Customer behaviour 

  • The organization's operations

Execution: Once the analysis is complete, the next step is to create a roadmap for digital transformation that outlines the specific steps and timelines needed to achieve the vision. This roadmap should include:

  • A prioritized list of initiatives and projects

  • Required resources

  • Potential risks

  • Clear metrics and goals to track progress and ensure that the digital transformation is on track (KPIs and benchmarks for each initiative)

This breakdown gives a general sense of the ideal way a company would set itself up during their transformation but it is certainly not set in stone. Every organization has a unique vision and there are going to be points where they need to pivot and re-evaluate their purpose.

The Takeaway

Ultimately the most ROI from digital transformation stems from this aspect of the process, returning to the vision and understanding all the facets of the organization that need to work together. A solid IT infrastructure can only succeed if it’s aligned with the organization's overall business strategy and goals. 

No matter if we’re talking about a start-up, or a fortune 500 business, guidance when integrating IT services is something everyone will benefit from.

Written By Ben Brown

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.