ASSIST Insider: Five secrets about working with AI

May 15, 2023
1 min read
Title working with AI

Artificial intelligence (AI) has become a game-changer across diverse sectors, propelling organizations toward growth, innovation, and success in the dynamic and data-driven era we find ourselves in.  

From global corporations to small businesses, AI has emerged as a transformative force that is redefining how we operate. If you are not already using artificial intelligence in your day-to-day, be sure that your competitor is at least trying to discover how to use it if they haven’t mastered it already.  

AI has stopped being a fairy tale and seeped into our reality. If your business has not integrated AI yet, you might want to talk to a professional about the dos and don'ts, hows, and whys.  

Artificial Intelligence secrets you need to know
  1. AI needs a strategy.  

One AI secret that is particularly relevant to business is that successful AI implementation requires a strategic approach. Simply throwing AI algorithms at a problem without a clear plan in place is unlikely to yield good results.  
A key aspect of a strategic AI implementation plan is to involve stakeholders across the organization, including business leaders, data scientists, and IT professionals. Collaboration and communication among these groups can help ensure that everyone is aligned on the goals of the AI project, and that the technology is being used in the most effective and efficient way possible. 

Artificial Intelligence
  1. AI requires more data than you think.  
     

You have a machine-learning idea? That’s fantastic! However, many people underestimate one of the biggest challenges. How much data does your project have? How are you going to obtain that data and train the algorithms?  

In most cases, you need specialists to get this data for you and organize and care for it in your stead. Discussing the ways in which machine learning specialists can help a business is a vast subject that we might probably cover at some point. Yet data is what makes AI work, and the more data an AI model has, the better your overall results. 

Text Application of AI ML. Use machine learning in your business.
  1. AI can be biased.  

We like to think that all AI is honest and incorruptible, but AI algorithms are only as good as the data they are trained on. If the data is biased, then the algorithm will be biased too. This can have serious implications for things like hiring decisions, loan approvals, and criminal justice. You want to make sure the developers working on integrating AI into your project fully understand this issue. 

It's crucial to ensure that AI algorithms are designed and trained using diverse and representative data sets. AI developers should be aware of potential biases and work to mitigate them in the algorithm design and development process.  

CounteR Case study
  1. AI can be of help in more ways than one.   

Besides being a tool enhancing your project or product, artificial intelligence can go beyond. 

With the massive amount of data generated by customers every day, it can be challenging for businesses to analyze and make sense of it all. However, AI-powered analytics tools can help businesses extract valuable insights from this data, providing a better understanding of customer behavior, preferences, and needs. These insights can be used to optimize marketing strategies, improve customer experience, and ultimately drive business growth. 

Do your best to use AI creatively because you might find unparallel success when working with AI in an area you never thought of implementing it.  

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  1. AI is not magic and probably less intelligent than you think.  

While AI can do amazing things, artificial intelligence is not magic. AI algorithms are based on mathematical models, and the results they produce are based on the data they are trained on. There is always a human element involved in creating and training an AI model.  

Then how intelligent can we say AI is? To discuss this point we plan on coming together for a coffee on the 20th of May with specialists who are already busy working on all sorts of AI/ML projects for ASSIST Software customers

Artificial Intelligence: Is it intelligent or just if-else-if-elses? By Claudiu Filip is the first Tech Café talk of the year where an ASSIST Software machine learning engineer invites people who are passionate about technology to give their opinions.  

How do you feel about the matter? Want to participate?  

Tech Cafe Caludiu Filip Machine Learning Engineer

ASSIST Software and ASSIST Academy invite you to a coffee and a discussion about technology. 

Tech Cafe meetings are back in Suceava after a long absence. It's time to meet again and talk about trends, innovation, and the hottest topics in technology. 

So, on Saturday morning, May 20th, 2023, at 10:00 AM, we are waiting for you at Tech Cafe. The theme of the meeting is artificial intelligence, and the "tech barista" will be Claudiu Filip, a machine learning engineer at ASSIST Software. 

Artificial Intelligence: Is it intelligent or just if-else-if-elses? What is your opinion on the subject? 

Come spend some time with other technology enthusiasts and enjoy a perfect cup of coffee on the house. 

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Invite your colleagues or friends. See you soon! 

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Frequently Asked Questions

1. What is ASSIST Software's development process?  

The Software Development Life Cycle (SDLC) we employ defines the following stages for a software project. Our SDLC phases include planning, requirement gathering, product design, development, testing, deployment, and maintenance.

2. What software development methodology does ASSIST Software use?  

ASSIST Software primarily leverages Agile principles for flexibility and adaptability. This means we break down projects into smaller, manageable sprints, allowing continuous feedback and iteration throughout the development cycle. We also incorporate elements from other methodologies to increase efficiency as needed. For example, we use Scrum for project roles and collaboration, and Kanban boards to see workflow and manage tasks. As per the Waterfall approach, we emphasize precise planning and documentation during the initial stages.

3. I'm considering a custom application. Should I focus on a desktop, mobile or web app?  

We can offer software consultancy services to determine the type of software you need based on your specific requirements. Please explore what type of app development would suit your custom build product.   

  • A web application runs on a web browser and is accessible from any device with an internet connection. (e.g., online store, social media platform)   
  • Mobile app developers design applications mainly for smartphones and tablets, such as games and productivity tools. However, they can be extended to other devices, such as smartwatches.    
  • Desktop applications are installed directly on a computer (e.g., photo editing software, word processors).   
  • Enterprise software manages complex business functions within an organization (e.g., Customer Relationship Management (CRM), Enterprise Resource Planning (ERP)).

4. My software product is complex. Are you familiar with the Scaled Agile methodology?

We have been in the software engineering industry for 30 years. During this time, we have worked on bespoke software that needed creative thinking, innovation, and customized solutions. 

Scaled Agile refers to frameworks and practices that help large organizations adopt Agile methodologies. Traditional Agile is designed for small, self-organizing teams. Scaled Agile addresses the challenges of implementing Agile across multiple teams working on complex projects.  

SAFe provides a structured approach for aligning teams, coordinating work, and delivering value at scale. It focuses on collaboration, communication, and continuous delivery for optimal custom software development services. 

5. How do I choose the best collaboration model with ASSIST Software?  

We offer flexible models. Think about your project and see which models would be right for you.   

  • Dedicated Team: Ideal for complex, long-term projects requiring high continuity and collaboration.   
  • Team Augmentation: Perfect for short-term projects or existing teams needing additional expertise.   
  • Project-Based Model: Best for well-defined projects with clear deliverables and a fixed budget.   

Contact us to discuss the advantages and disadvantages of each model. 

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