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Business artificial intelligence refers to the use of technologies based on algorithms that mimic processes that we infer to intelligence in the business environment. These algorithms are increasingly complex and are programmed to carry out tasks that require human skills such as reasoning, decision-making based on data analysis, learning from experience, etc. All these processes are constant in the daily life of a business and have a direct impact on the development and growth of any company.
The possibility of improving and automating these processes, minimizing the margin of error and in one thousandth of the time, significantly benefits operations and, ultimately, results. Some examples include better interaction with customers, analysis of large volumes of data at high speed, process automation, predictions or decision-making. This translates into more efficient teams, which delegate this type of task to AI and that spend their time and effort on actions that require creativity, critical thinking, strategy and the improvement and cohesion of teams made up of people.
Any business you can think of can be improved in some area through AI. Artificial intelligence can be applied in any sector of the company. For example: accounting and finance, customer service, recruiting, cybersecurity, sales and marketing, supply chain and logistics, information technology (IT) operations, legal, industrial processes and many others.
In this post we are going to give some keys to how to start benefiting from AI in your company.
Implementing AI in business isn't without its challenges. They can include problems to be solved about privacy, data quality, budget and investment capacity, skill gaps, or integration problems with pre-existing technologies. We will talk about this later. In addition, it means establishing a strategic vision for their employment, empowering teams and collaborators to work effectively with AI tools and continuously evaluating their impact on business processes. For this reason, to ensure a successful implementation of AI, we believe in relying on expert advice and starting with pilot projects that involve key stakeholders from the start to ensure continued support and collaboration.
It starts by identifying points of inefficiency and areas where teams face challenges. It encourages employees to discuss openly which tasks are the most laborious, error-prone, and even which are the most tedious. This could be anything from data entry, programming, or even customer service workflows. Ask your employees to write down the areas of their work that they are least satisfied with. Not only does this exercise help identify where AI can have a significant impact, but it also involves your team in the process of finding solutions, ensuring that AI integrations address their real problems. Being clear about the business areas to focus on and the challenges of the teams will be the starting point to start looking for solutions based on Artificial Intelligence.
To eat an elephant you have to eat it in pieces so you don't end up being packed up. Do you know this metaphor? When implementing a plan that is too ambitious, it is better to start small. Start by writing a list of the challenges you want to face and the corresponding AI tools that can help or that can be developed as needed. It prioritizes these problems based on their impact on short, medium and long-term business objectives, as well as the resources needed to address them. This strategic projection and prioritization ensures that you are not only solving immediate problems, but also investing resources in those areas that will generate true value and therefore return. So, what will be the most important issue your company will need to address? That depends on you. AI can help you overcome business challenges, however, a human decision will always be necessary to determine where to apply AI first and with how much intensity.
Once you've decided to start an AI-related project, you'll also need to assign new responsibilities to the teams. That will be the real starting point for change.
Going back a bit: before integrating AI tools into your company's technology stack, work with your team or with expert external collaborators to discuss security issues and take into account all the legal considerations of the country where you operate. Every company is different and that is why it is very important to anticipate any risks. First, consider the accuracy of the information that AI produces. So-called 'hallucinations' (erroneous and/or misleading results generated by AI models) could lead to the involuntary dissemination of false information.
Data privacy is also critical. Make sure that the tools you choose don't reuse your company's sensitive data for model training without clear consent. If the artificial intelligence tool is going to be created especially for your company, lay the foundations for it correctly or consider relying on an expert AI consultant.
You should also consider the cost implications. The benefits of an AI integration project must outweigh the investment in a given time.
In short, AI can be treated in the same way as any new technological process that we want to embark on. It's always important to ensure that all actors are aligned and participate together, especially legal and IT teams.
Once the project is finished, it is not enough to just hand over the tool to the team. We believe that every company needs a designated person as an AI contact point. This person must provide practical training to allow employees to ask questions, have assistance and feel comfortable using the tools. We learn by doing and by making mistakes.
In conclusion, these points would be the basic points to consider on your way to start an enterprise AI project. Maintaining consistency, allowing experimentation and also fun will lead you to business objectives in an innovative way.
At Unow Solutions, we have an expert team in the ideation, analysis and implementation of AI-based solutions. Contact for a first consultation free of charge.
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