Good technology delivers good results. Ethical technologies that are backed as great technologies have the potential to transform mankind. Artificial Intelligence applications are referred to as ‘great technologies” and why not! AI applications have completely dominated the commercial industrial solutions for the last 2-3 years, and in the coming years, these would totally overtake all other major industry domains or symbolically assimilate into them. If you are early in your AI career, you should know this very well before experience takes over – Good AI is good data at play. Your AI models should solve more problems than it creates, and this could be only understood well if you stay abreast of what’s happening across industries, especially the ones that require regulations such as Healthcare, Legal and Compliance, and blockchain based cryptocurrencies.
Let’s understand how AI Machine Learning applications can actually solve real life problems for us.
Understanding Kid’s Emotional Journey during Puberty and Adolescence
A human’s growth can be fully understood and almost forecasted accurately using behavioral data. There is nothing in this world that data can’t explain, and a kid’s emotional growth is just among many wonderful things that analysts can accurately predict based on ability to learn new things, communication skills, age, gender, and ethnicity. We are witnessing a rise in the way AI and machine learning capabilities are now used to take care of and support kids with special emotional needs. Experiments show that kids that grow with machine learning tools are better at grasping the principles of how science and art collaborate in real life. AR VR, assistive technologies, and voice AI are important examples that solve many real life problems among kids.
Overcoming International Language Barriers
According to a verifiable data source, there are around 7000 languages spoken in the world. Of these, people know at least 2 languages that another person in the tribe can understand or comprehend. However, there are still close to 3 billion people who can’t speak the language of the world. This has led AI practitioners to work with language experts to build language translation platforms that everyone can use to communicate. These work offline as in online mode. From airlines to education courses offering online services, everyone can use this NLP based language translation to deliver the most contextual experience to customers.
Food Scarcity Management
The world is still reeling under severe global food storage problems. While an average human requires less than 1 kilo of food to sustain, the average consumption is highly varying. In the depleted regions of the world, malnourishment has triggered many health problems. An average person in these regions doesn’t have access to even 200 grams of balanced food diet! In contrast, richer countries waste tons of food material that is either cooked or canned and could have been easily saved or transported to starving regions with better food planning. AI could come to the rescue with an inventory management planner that accurately tells how much raw food material and canned food items are in stock that can be transported to starving nations.
Oil spillage
Oil spills are an age old problem brought upon by the use of internal combustion engines. In the last 100 years, enough oil has been spilled into the ocean which otherwise could have kept our factories running for centuries. Alas! We have lost the opportunity. The real problem with oil spills is not the economy centric, rather it’s the environmental crisis that affects marine biology. Oil spill kills marine mammals and fishes, resulting in a depleted oceanic environment that can’t support any life form for decades. AI applications generate mapping systems based on satellite imagery to identify oil spill zones and warn the managers to quickly respond to the crisis.
Women Safety / Human Trafficking
Another real world problem arises from human trafficking involving minors and adult women. Geotags, CCTV surveillance, and other AI based computer vision technologies can be used to track the movement of women and kids in sensitive areas.
Otherworld problems such as financial fraud detection in the financial services industry, lack of personalized healthcare/ telemedicine, and adult illiteracy can be successfully defeated using Data Science and Artificial Intelligence applications.
