Artificial intelligence has taken the world by storm, and like responsible decision-makers, you must be thinking of leveraging the technology for improved business processes and elevated user experience.
However, the results don't come from intent, rather from the development and implementation. It brings us to our first discussion of the day: Identifying factors of implementing AI technology.
10 Key Factors to Consider While Implementing AI/ ML technology
AI and ML technology is transforming various industries. This includes insurance finance, retail, healthcare, manufacturing, and other leading industries. Optimization of business processes and improved efficiency, AI & ML is one of the technologies that is going to define the future. It drives profitability and automation of repetitive tasks. It also helps you improve the user experience.
However, the implementation of the technology is a bit tricky. You need readily available resources and a strong strategy. In short, you must not just use the technology for the sake of using the technology, but you need it to drive results and give your faster ROI.
To prevent your efforts from going in vain, you need a business plan ahead and prepare for the execution of artificial intelligence solutions. This will help you to prepare for business transformation and improve the process and product development. It will also help you identify potential roadblocks that may arise during the implementation of the technology.
- Identify if AI is beneficial for your project requirement
Before you start finding the right dot net development company that can help you in the implementation of the technology, there are times when everyone in the industry is going gaga over AI technology, and you are under the pressure of using it too. But many times, a solution does not require AI technology. This requires you to investigate so as you don't allocate your resources in the wrong direction.
Once you have reached the point that AI is the cost-effective solution to meet the needs of your business. You can start finding a dot net development company that can serve as the right technology partner.
- Consider Proof-of-Concept or MVP Development
Just to be sure, you can use a PoC or MVP development to confirm the AI solution is delivering you the value that you are expecting. Minimum viable product and proof of concept are going to give you a basic product that allows you to test the product of its functionalities in less cost and time. With these solutions, you would not have to wait for months to complete the product, implement it, and realize later that your investment was a waste.
- Know how AI can change your current operations
AI and ML used in combination have huge scope. You can use it in various combinations, improve your business operations and automate most of the repetitive tasks. Talk to various departments in your organization and learn about their challenges.
See if you can use the technology to improve your business operations. Identify the challenges that would come with technology and process transformation. You can use other services such as cloud computing services, Chatbots, omnichannel customer support, etc., to change your existing business operations.
- Integration of AI solution with the current system
Assess your current system and know if the new AI system would help you in improving your business operations. The new AI solution should not interfere with the current processes. It is essential that the solution provides you a cost-effective and user-friendly experience.
Integrating one new tool can affect your teamwork and overall employee productivity. It is critical to identify the ROI and evaluate valuable adjustments to your organization. IT infrastructure and business application system.
- Installation Process
Some AI solutions are easy to implement and use, while others are not. It all depends on the complexity of the process. However, each solution varies, and some might need the service provider or the IT department to be actively involved in the assistive services. Installation and getting the system up and running should be discussed end-to-end. It is also important to identify the party or the members that would be required to set it up and maintain the system.
- Ensure adoption by end-users
Every AI development company is working out new ways to incorporate modern technology solutions to improve business processes. AI solutions can help you in transforming your business journey and simplifying the processes. Making a system user-friendly and providing training and support is important to reduce the learning curve to make a system easy to use for end-users.
- Data Requirements
AI Project requires data in big amounts before you start working out on the product itself; identify the things that would be required to make the project successful.
Communicate your concerns with the AI development company to know about the specific project requirements. You must learn, capture and analyze the complexities found in data storage, management and security since data is a driving force and works on various levels of optimization. Learn about data warehousing needs, such as the right storage format, using best practices to secure the data, and normalization.
- Security Requirements
AI is being used in various industries and sectors. But since the technology is new, it is important to discuss factors such as security. Other software solutions, such as security,are an important concern. You must learn about modifying and upgrading your system to serve new business functions and users.
Businesses must understand the impact of the potential security threats. Consult the technology provider about the appropriate measures to secure your data and system from being attacked.
Industries such as healthcare and fintech are highly prone to data vulnerabilities and cyber attacks. Many industries have their own regulations and standards; updating the system is necessary.
- Infrastructure requirements
Each AI solution varies from the other. Different usability and implementation processes demand a different IT infrastructure. It is necessary for you to run it with the technology experts to understand the resources you would have to allocate towards improving infrastructure. Adopt and put the new solution to use at scale to ensure business efficiency.
- Customized Solution
It is especially important to ask the technology partner to provide you a solution that meets your organization-specific needs. Learn about 3rd party providers, specialized workflow models, integrated working between other existing applications, etc., is necessary to discuss before undergoing development.
Once you have identified these factors, it is time to find the right android app development company or software development company that can help you with AI integrated solutions.
Hiring the AI development Service Providers
The need for AI professionals is growing at a fast pace. You can choose to hire experts, but since the technology is fairly new, the resources are scarce, and it might just increase the development cost. Most of all, it would require effort, time, and perspective to hire the right AI development company. So, here is a small guide that would help you in identifying what skills you are looking for and what should be a roadmap for you to reach your development goals.
Read the blog- 5 Powerful Cases That Prove AI Is Transforming Health-care Industry
The market needs more AI experts, and hiring a person in-house is going to be quite expensive, as you would have to invest in the infrastructure. Hiring an AI developer in the UK may cost you around £45.00 per hour. The cost of hiring an AI developer in the US may go up to $70- $110 per hour.
The best option that we suggest is to go with offshore development. Developers in India are highly experienced. You can hire an expert AI developer for less than $45 dollars, reducing your development cost significantly. Similarly, you can hire developers from other South Asian companies.
To help you define the right roadmap for hiring an AI software development company. If this is the first time you are undergoing software development, it is essential to keep in mind a few things for hiring an AI software development company. Let's look at those factors before diving into the skillsets.
Skillsets you must look for in an AI Software Developer
Before you start the hiring process, you must make yourself familiar with the technology itself. The scope of the technology in the implementation of your software products is defined by your creativity and understanding of the solutions.
Start your research with a quick introduction to AI terminology. The jargon and some quite unclear technical terms would be a bit confusing. The core skills of an AI developer are absolutely necessary for the development of AI software.
- Data Science Skills
AI technology is driven by data, and the first skill set you must look for in an AI software developer is that of handling data and preparing the data for analysis. A strong background in statistics is also recommended.
- Machine Learning and deep learning
AI learns from the data and continuously improves its operation by deepening its understanding through various data points. Machine learning algorithm allows you to perform certain tasks by generalizing from examples. The algorithm helps you find the right way to solve a problem without any clear instructions; it makes prediction easy with the availability of data. Deep learning is a subfield of machine learning that uses a specific model, a neural network based on the structure of the human brain. This makes Artificial Intelligence more complex.
- Python, R, and Java
Programming language proficiency is essential. Being fluent in at least one of the popular AI and data science technologies is a must. Managing a large amount of data and dealing with complex scenarios is necessary.
These are some basic AI skillsets you will find it easier to evaluate the AI development company. And you would not require in-depth knowledge to guide the company on the technical aspects of the project.
How to check the compatibility of the AI Software Development Company with you?
- Consultation
When you are very new in the technology world and have no idea how to resolve your problems with modern technology solutions, you must rely on the technology experts to guide you in the process.
Talking of AI technology, the development company must have a simple road for you to sail smoothly during and after development. Their knowledge and expertise would allow you to broaden your perspective about technology and how specific problems can be solved with cost-effective solutions. Consultation thus is a very important part of the development process, and you must not ignore this factor while hiring a company.
- Services and Solutions
In case you already know about the problem and have a suggested solution, you can straight away start by finding similar services provided by software development companies. Once you share your project with them, they would give you the profiles of available resources, interview them and choose the right service provider.
These are the two major scenarios you must run with yourself while finding the right solution provider. Next, you have to identify some other factors, such as personalization of the solution, enterprise product development, analytical dashboard, 3rd party integrations, cloud integration services, development methodologies, and more.
- Futuristic Approach
AI has grown 270% in the last four years. By the end of 2021, it is expected that 80% of new technologies would be based on artificial intelligence.
At the same time, the companies will work with artificial intelligence products and implement solutions based on machine learning. This is only going to increase more, and thus you must not leave out the opportunity to have a first-mover advantage in the market.
Identify what you want to do with the technology, what are data points you want to collect, how you would collect them, and how you want to implement them based on machine learning. Communicate these all factors to your AI development company. Do you have a plan for quarters and years so you would have the scope to partially launch the product and keep working on the development of the product.
- Ask for a clear value proposition
As we discussed earlier, the implementation of any technology should not be done just for the sake of it. You must discuss ROI. It is good to always have a clear understanding of how you would be benefitted from your investment.
Use Artificial intelligence, machine learning, big data, and other technologies that can help you to improve the efficiency of your solution. Also, what difference these technologies would bring in.
Some products are primarily AI-based,and they cannot exist without the use of technology. Data solutions are a great example of this type of technology solution. Artificial intelligence can provide you better search results, suggest improvements and improve user experience. The AI development company would provide you the solutions that help you meet your goals at best and at the right speed.
It is always good to keep the development company informed of what your expectations are from the investment. Suggesting a solution that meets your goals at best is important. Be transparent in your interaction with your AI development company.
- Address Cyber Security in the cloud
Cloud integration services provide you the scalability to help you manage a large sum of data. Even though 90% of companies use cloud services and the interest in this technology is constantly growing. Some decision-makers are still thinking about the role of cloud-based solutions. Most concerns are related to data security.
Essential Skills To Look for in an AI / ML Developer
When interviewing developers, you must look for certain technical skillsets that would ensure the success of your projects. These advanced technologies have the power to transform the fate of your product.
ML/ AI can help you in building modern solutions for IT, Fintech, healthcare, education, and transportation. And it is only getting started. Companies are becoming more and more laser-focused on deriving more value from AI technology. Getting out of the experimentation phase, it is soon going to go into acceleration mode. This means the software engineers would be ready to take on important roles in the development process.
Here are seven skills to look for in an AI / ML solution provider.
- Programming language
A machine learning expert must have experience in the following programming languages. According to GitHub, here are the ten best machine learning languages that are absolutely necessary.
- Python
- C++
- JavaScript
- Java
- TypeScript
- Shell
- C#
- Julia
- R
- Scala
While python is a common language among the machine learning repositories, there are some emerging technologies that are equally rewarding, such as Scala. When it comes to interacting with big data frameworks, Apache Spark is widely trusted.
- Data engineering
One of the most important steps in Machine learning development is processing and storing raw data generated by your system. It is necessary for a company to have the capabilities to extract, transform and load pipelines that process, clean up and store data. The data should be available to the important departments for the right decision-making. It must also include important analytical tools, predictive tools. Knowledge of data service providers such as AWS, Microsoft, etc., is also important.
- Mathematical and algorithm knowledge
Look for developers with some level of expertise in a broad set of algorithms and applied math. A candidate should have problem-solving and analytical skills. The principle understanding of statistics and probability allows you to understand the problem better and solve it. The foundation of it lies in it.
Software professionals with knowledge of probability and statistics allow you to understand different AI models. These theories help them in learning complex algorithms. The pre-requisite of programmers would make the programmers more efficient. This should allow them to navigate through basic statistical methods and use its model evaluation metric.
- Efficiency in distributed computing
The ability to manage large data sets helps you in processing data through a single machine. And therefore, the data distributed across the entire cluster makes it more essential for engineers to be efficient in distributed computing,the sharpens their skills as AI professionals.
- Good Command over Unix Tools
Since most of the processing in AI will happen on Linux-based machines, programmers would be required to master Unix tools such as awk, Grep, Sort, find, cut, tr, etc. They should be well-versed with the functions and how these tools can be utilized.
- Expanding the knowledge of Advanced Signal Processing Techniques
Feature extraction characteristic of ML is one of the most designing parts of the technology. It requires a developer to solve different problems through advanced signal processing algorithms such as wavelets, curvelets, shearlets, contourlets, bandlets, etc. In addition to this, an AI / ML developer is required to have an understanding of time-frequency analysis for the implementation of logic. Other important concepts include convolution, Fourier analysis, etc.
- Creativity
Meanwhile, you may feel like ML and AI is all about technology and numbers it is also a very creative field. Find professionals that are focused on cracking difficult problems through creative solutions.
- Ability to stay abreast with futuristic solutions
AI is in a growing stage, and new developments are happening almost every day. An AI professional you hire must be passionate about learning new things. It is essential they keep themselves abreast with the latest technology and developments in the industry. They should puteffort into updating their skills and be familiar with advanced development tools, theories, algorithms, etc.
Wrapping Up
Choosing the right AI development company requires you to have a comprehensive approach. It would give you the necessary perspective to utilize the technology at its best. There are several factors that you are required to consider. You are needed to focus on how easy it is to communicate with the company and how open they are to help you in your course.
Also, the development and implementation of solutions is only the beginning. There is going to be a long road and you are required to replicate the same attitude you have currently. There are lots and lots of factors that you have to consider and how you can use one of the most promising technologies to your benefit. With a clear game plan and the right technology partner, you would be able to sail smoothly.