Whether or not a business project is a success largely depends on how solid the technical team is. Today, AI development is faster than ever, pushing businesses to gain a competitive advantage.
Every project is unique and so are its requirements. A company must choose the most convenient and efficient model for AI software development, depending on the project’s scale, features, goals, and budgetary constraints. However, there is also a slew of factors that determine the success of a project.
Before you decide whether to outsource a project or handle it in-house, clearly assess the project goals. What are the features you are looking for in your project? What are the services you will require for the successful execution of the project? When are you planning to launch the project?
Next, you need to assess if an in-house team has all the necessary skills to fulfill your expectations from the project or if an external agency can provide you with the level of customization you require for the project.
Maintaining a budget is one of the most crucial aspects of a business. So you need to figure out how much capital you can invest into developing your project. Next, calculate the expenditure required for in-house handling and outsourcing and choose the option that best fits your budget.
It is one of the most crucial factors you need to consider to decide which of the two options is more viable for you. Compare the services that your in-house team will offer with an external agency. Understand the complete scope of work and the exact services you will be paying for.
Now, the next question that might come into your mind is, “How do you ensure that your project idea is executed in the best possible manner? Do you hire an in-house software development team? Do you partner with an AI outsourcing agency?” Let us deep dive into the pros and cons of both these options so you can decide what suits your company the best.
In-house AI development means hiring team members within your organization and training them with the crucial IT skills and abilities needed to handle the project. Although this method is more cost-effective in the long run, it can seriously load the company’s budget in a shorter span.
In-house AI developers demonstrate lesser expertise and the skill to develop AI-based ideas as compared to ones in an agency. They do not have an interdisciplinary perspective which is a prerequisite for creating meaningful models for making business decisions and getting faster results.
Hiring an entire team is even more difficult than it sounds. As an organization, you must equip yourself with all the resources such as infrastructure, overhead, additional employee benefits, training fees, etc. making an in-house team an expensive affair.
Hiring an in-house AI development team is an extensive process. From evaluating potential team members to recognizing the skill gap of every member, training every member is a long process. If you run out of time to execute a project, it is natural to not go with this option.
By developing your own AI solution, you can remove all the unnecessary features and complicated settings and bring down costs just by sticking to the product requirement.
If your company invests in developing advanced technology like AI by building an in-house team, you can gain patent rights for the value you add in this field. It can give you an edge over your competitors in the industry.
Outsourcing means your company partners with an external AI development agency and delegates the project execution job. Though outsourcing technical projects can be expensive, it is worth the investment. You get access to domain experts with a lot of experience working on similar projects. It is especially beneficial if you do not want to wait too long to launch your product in the market.
Tons of high-quality data are needed for developing machine learning and building deep learning models. Even if your business has access to big data, working with such massive data requires a lot of experience and is time-consuming. Only an external AI development agency can bring such expertise to the table.
Before starting any AI project development, proper data cleansing and preparation are prerequisites. An outsourcing agency can feed a Machine learning platform with high-quality data sets to leverage it to your advantage.
Outsourcing might be expensive, but you pay for the skills and expertise. But while building an in-house team, you pay in terms of both time and money for additional things apart from the skills and expertise. Everything is an additional cost to the company, from recruitment and software licenses to training and employee benefits to providing refreshments.
Also, hiring people in technical fields such as AI is tough. A lot of time is needed to search, interview, recruit, and onboard new employees. Your company can save all of this time and capital just by partnering with an outsourcing AI agency.
If you are a fast-growing startup in a highly competitive industry, you need to scale dynamically to meet market needs. In such a situation, the in-house team” approach might not be helpful, especially in challenging, specialized projects. Also, if you are a small company, you probably do not have the resources needed to implement all the in-house services and systems. So to ensure that the quality of the final product is not compromised and to compete with the big players in the market, outsourcing is a better option.
You can achieve high levels of scalability and flexibility by partnering with an external outsourcing agency at no additional cost on your end. An agency provides highly skilled and experienced, tech-savvy members so that you can scale up or cut down the team depending on your project requirements. If your ML project has diverse needs, you can even work simultaneously with multiple outsourcing agencies, depending on their domain of expertise.
If your company is undertaking a crucial project, you will require full-fledged support right from the beginning to the end of the software development cycle. Only an outsourcing agency can provide such all-rounded assistance. They will assist you with everything from consulting to business analysis to business idea evaluation. Most agencies have experts from fields like QA engineers, developers, business analysts, designers, etc.
The agency takes full responsibility for assigning a project manager, handling the project from the idea to the launch phase, and even communicating with the client. Different tasks are allocated to different professionals according to their areas of expertise, and a deadline is assigned per the customer’s requirements.
For your project to have a competitive advantage in the market, you must incorporate the latest technologies and implement the latest development methodologies and standards. Outsourcing agencies constantly evolve, following the latest trends and practices.
They continuously work on improving techniques and turn-around time and provide up-to-date solutions. These agencies are known for technology trends, new programming languages, current software, and more.
If you outsource your project to a software development company, they will not just deliver your project but also provide after-services. They will provide you with regular updates, product maintenance, and bug fixes. It will save you from spending any extra time on the project post-launch. Also, to secure you as their long-term client and create a lasting work relationship, they will provide you with the highest work standard and ensure the best quality.
With an in-house team, you can constantly get updates about your project without hassle. But to get updates from an outsourcing agency, you need to schedule meetings. Also, if the agency is in a different time zone, you need to adjust to the timing.
One of the issues of working with an outsourcing agency is the cultural differences between your company and the agency. These differences can reflect in the thinking pattern, values, etc.
Before you go ahead and outsource your project to an AI development agency, research everything about the agency like their specialization, past projects, previous clients, customer reviews, testimonials, etc. Book a consultation session with the agency, and discuss their offers and strategy to evaluate if it fits your needs.
Creating algorithms by leveraging machine learning is a highly complex task and requires specialized skills, a high degree of experience, and a sharp mind. So make sure that the agency you are planning to hire specializes in Big Data, Artificial Intelligence, Machine Learning, Business Intelligence, etc.
Run a background check on all the members of the agency. You can check out their LinkedIn profiles or GitHub profiles to cross-check if they possess the skills and relevant experience in the field they claim expertise in.
The core skills, expertise, and services an agency offers matter the most. But there are also other factors that you cannot ignore to ensure that the working process is smooth such as:
Now that we have broken down the pros and cons of building an in-house software development team and partnering with an outsourcing agency, you can easily decide the better option for your company along with the additional research data.
Data Engineering
AI & Machine Learning
By Use Cases
Business Intelligence & Tableau
