When will they ever learn!
The public was given two weeks (October 3) to respond to a call for representations on a new Elderly Health Policy in a September 17 newspaper notice by the Ministry of Health, Nutrition and Indigenous Policy but most of the information listed was incorrect. For example the website given is www.health. gov.lk/en/Pub- Opi/Elderly%20
1. Healthcare 2. Insurance 3. Architects 4. Journalists
Policy%revition%20E4.pdf but it’s impossible to access this since the actual link is http:// www. health. gov. lk/ en/ Pub_ Opi/ Elderly% 20Policy% 20new% 20 revision% 20E4. pdf. Note the differences in the two: It should be ‘ Pub_ Opi’ instead of ‘ Pub- Opi’ while the second error was ‘revition’ instead of ‘revision’. The notice also says ‘ alternatively Some aspects of a doctor’s job can now be done by computers. For example, surgeons already use automated robotic systems to aid with less invasive procedures. IBM’s Watson proved it can diagnose lung cancer from analysing MRI scans much more reliably than real people. In addition, the UCSF Medical Center recently launched an automated, robotics-controlled pharmacy at two UCSF hospitals that automatically dispense prescriptions based on barcodes scanned by nurses. In fact, Johnson & Johnson has an FDA-approved device that can deliver low levels of anesthesia automatically— no anesthesiologist required. Much of what insurance brokers and insurance underwriters do today can be done by computers using big data and machine learning. Formulas have been used for decades to determine how much insurance a person is qualified for and at what rate, but new tools will automate the decision-making process even more. Programmes already exist to help individuals design their own homes, making architectural skill and even design and color choices more automated. For now, most people are using the software mostly as a visualisation tool, or to replace architects for very small projects. But as the sophistication of the programmes improves, so will the need for human architects and designers diminish. Much of what journalists do can now be automated using machine learning tools such as narrative science that creates natural language news stories from analyzing data. In fact, if you’ve read a financial earnings report in the past year or two, you’ve probably read an article or press release generated by a machine. The first places these programs will be used are in financial and sports reporting, which rely heavily on data and numbers, but other fields are not far behind. Services are already appearing that “scrape” content
6. Teachers
click on “National Elderly Health Policy of Sri Lanka ( draft) under the category “Policy for public opinion” which it says is on the left side of the ministry home page. But this icon is on the right side of the home page. The Ministry official responsible for the ad doesn’t seem to know the right from the left. When will they ever learn! from news sites and “rewrite” it to avoid outright plagiarism but include the same content for websites.
5. Financial industry
Algorithms can now analyze financial data and prepare accounts (as well as do tax returns) — without the need for accountants. Bank tellers have already been partially replaced by ATMs, but soon even higher level bankers, including loan officers, could be easily replaced by automated systems. Even governments are now using big data and machine learning to check tax returns and identify potential fraud in tax matters. We know that computers are already being used to make stock trades faster than humans ever could and they’re even used to predict how the market will react and make recommendations whether you should buy or sell. The job of teachers will definitely change with the digitisation. Studies have already shown that algorithms used to customize leaning to individual pupils based on their progress and understanding can be more effective than a human teacher. While this may be a boon to school districts desperate to find qualified individuals to teach, it may (Chance of being automated: 0.3 per cent) Occupational therapists (OTs) help people improve their ability to perform tasks in their daily living and working environments. They work with individuals who have conditions that are mentally, physically, developmentally, or emotionally disabling, a profession that requires human interaction. (Chance of being automated: 0.4 per cent) Some of the reasons it'll be hard to replace dentists include the need to be clever in various aspects of their job and communicating with patients. (Chance of being automated: 0.4 per cent) also eventually reduce the role of classroom teacher to that of proctor or babysitter — or eliminate it altogether.
7. Human Resources
Human resources, headhunting and hiring is already being affected by data mining as algorithms take on the job of sorting through resumes to find the perfect candidates. Other jobs of human resources, including collecting and filing paperwork, advising employees about benefits, etc., can easily be automated.
8. Marketing and Advertising
Marketing is all about that most human of skills, persuasion and manipulation. But even that is being successfully outsourced to computers. Persado, a natural language software firm, has put its computers to the task of writing compelling email subject lines for large retail organisations that can as much as double open rates. Companies are also experimenting with automated ad buying: instead of having people choose which magazines to place ads in and on which pages, the computers take care of it, using billions of data points for reference.
9. Lawyers and Paralegals
In the discovery phase of a lawsuit, lawyers and paralegals can be required to sift through thousands, even tens of thousands of documents depending on the case. Now,