There is very little doubt about how expansive the applications of artificial intelligence (AI) could be within the business world. Indeed, the corporate use of machine learning and AI technologies are already revolutionising the way in which businesses operate, such as how firms gather, collate and use information (think big data).
Because these AI instruments could well become the social norm for many corporate entities (both large and small), it is crucial that AI competencies are developed and monitored within various echelons of society. This is where the IAIDL come in.
What is the IAIDL?
The IAIDL AI Certification also known as the International AI Driving License, is an international firm committed to improving AI competency standards across the board. They offer certificate programs that are delivered via an active network, which enable managers, workers and entire businesses to grow and refine their AI skills in a modern workplace. The program benefits from expert support in the form of national computer societies, which help develop vendor-independent standards for worldwide use. The program is suitable for all different business types, including local, regional and national governments, international organisations, along with public and private sector entities.
What makes the IAIDL so important?
There are many reasons why the IAIDL certificate system is very important for modern businesses. Firstly, the system is founded on almost a decades’ worth of industry experience – delivering these programs to a plethora of different business entities and SMEs (subject matter experts). The scheme has also been very successful because of its ongoing development and refinement, in which administrators are committed to high quality assurance standards and frequent, rigorous test design methods.
Another reason why the IAIDL is significant is the fact that the IAIDL system is helping the United Nations achieve their Millennium Goals, which were established in 2015. Designed to be achieved by 2030, the Millennium Goals address a series of economic, social and environmental concerns that are deemed to need concrete, integrated action across the world.
By sponsoring data science and AI, many of the world’s problems could be cured by AI-based solutions. Indeed, AI can be used to absolve educational inefficiencies and overall inequality (Goal 10), which could provide a pipeline of skilled workers to propel economic growth and job creation (Goal 8).
What are some of its real-world applications?
AI has already revolutionised several core functions of modern businesses. Because of AI, businesses can now transfer and cross-reference data, collating and deriving valuable insights from a wealth of large-scale information. The amount of data that comes through global firms is simply mind-boggling, but because of AI, business analysts can derive key insights, trends and patterns from that data and transform it into profitable strategies. These profitable strategies could come in the form of new advertising and marketing campaigns, which can be personalised to different customers based on information you have about specific types of customers.
Likewise, upskilling your workforce with the latest AI knowledge can be great for security purposes, particularly fraud detection. If your business monitors and retains secure, private information, then it is crucial that your business has controls in place to protect that data should your business’ network be compromised. AI tools are also very useful for predicting or forecasting consumer behaviour. This could be in the form of how they react to specific economic/political events (like a new elected official or an economic recession) or on a more micro level, like how they might react to a specific product.
At the end of the day, the current literature suggests that business uses of AI will continue to evolve and grow in terms of complexity and sophistication. Because of this, the IAIDL framework provides business owners, managers and workers with the necessary skills and expertise to augment their capacity to use AI products and processes within their business environment. This development could have many positive applications for a variety of social and economic challenges we face now and into the future.