Let's Talk

Let's Talk


IBM Life Predictions by 2022

IBM 5 in 5 predictions are known to be quite grounded as they are usually based on IBM’s own R&D work-in-progress. If they are predicting it, it is very likely that they are going to invent it. Famous inventions and developments by IBM include: the Automated teller machine (ATM), Dynamic random access memory (DRAM), the electronic keypunch, the financial swap, the floppy disk, the hard disk drive, the magnetic stripe card, the relational database, RISC, the SABRE airline reservation system, SQL, the Universal Product Code (UPC) bar code, and the virtual machine. According to this IBM “5 in 5”, visualization technologies will stand-out in real life applications by 2022 on both macro and micro levels to maintain the safety and well-being of the human race.

 First:  With AI, our words will be a window into our mental health

IBM envisions a possible future where speech detection systems in smartphones can provide early warning of developmental disorders, mental illness and degenerative neurological diseases or provide clinicians with a tool for monitoring the progress of ongoing treatment plans. This will be possible using cognitive computers that will analyze a patient’s speech or written words to look for tell-tale indicators found in language, including meaning, syntax and intonation.

Second: Hyperimaging and AI will give us superhero vision

IBM anticipates that new imaging devices using hyperimaging technology and AI will help us see broadly beyond the domain of visible light by combining multiple bands of the electromagnetic spectrum to reveal valuable insights or potential dangers that would otherwise be unknown or hidden from view. Most importantly, these devices will be portable, affordable and accessible, so superhero vision can be part of our everyday experiences.

Third: Macroscopes will help us understand Earth’s complexity in infinite detail

IBM predicted that macroscope technology will transform many industries while revealing new insights about some of the most fundamental problems we face, such as the availability of food, water and energy. By aggregating, organizing and analyzing data on climate, soil conditions, water resources and their relationship to irrigation practices, for example, a new generation of farmers will have insights that help them determine the right crop choices, where to plant them and how to produce optimal yields while conserving precious water supplies.

Fourth:  Medical “labs on a chip” will serve as health detectives for tracing disease at the nanoscale 

IBM foretells us that new medical labs on a chip will serve as nanotechnology health detectives – tracing invisible clues in our bodily fluids and letting us know immediately if we have reason to see a doctor. The goal is to shrink down to a single silicon chip all of the processes necessary to analyze a disease that would normally be carried out in a full-scale biochemistry lab. Lab-on-a-chip technology could be combined with real-time health data from other IoT-enabled devices, like sleep monitors and smart watches, and analyzed by AI systems for insights.

Fifth: Smart sensors will detect environmental pollution at the speed of light

IBM expects that new affordable sensing technologies will be deployed near natural gas extraction wells, around storage facilities, and along distribution pipelines to enable the industry to pinpoint invisible leaks in real-time by means of networks of IoT sensors that are wirelessly connected to the cloud. This will provide continuous monitoring of the vast natural gas infrastructure, allowing leaks to be found in a matter of minutes instead of weeks, reducing pollution and waste and the likelihood of catastrophic events.

It seems that some industries will soon undergo major business transformations to keep up with the new technologies arising in the second wave of digital disruption to bring the world better healthcare equipment and zettabytes of data about our endangered planet earth. 

So Sources: 
-          The Power of Thinking Big: IBM Research’s “5 in 5"
-          Wikipedia