As artificial intelligence takes leaps at an increasing pace, there’s fear that robots will conquer the future and put humans out of jobs. While technological unemployment is a worry that has its own merits, there are some fields where there is already a shortage of human experts.
One of those fields is healthcare. It takes years of education and hands-on experience to train a decent doctor. And as the figures show, there’s a shortage of physicians everywhere.
Fortunately, Artificial Intelligence and Machine Learning can help alleviate this problem. AI-powered tools can help healthcare workers and doctors improve precision and efficiency while lowering skill and energy requirements. This can effectively put more people into healthcare jobs while also bringing services to a larger number of people, especially in underserved areas. Continue reading
Data analytics is something that you read and hear about a lot these days. It’s been touted as the science and technology that can help organizations reduce costs, increase efficiency, identify new opportunities and increase their competitive advantage.
Data analysts uses mathematics, statistics, and sometimes machine learning, to find meaningful patterns across registered data and turn them into meaningful results and actionable insights. While the concept of analytics isn’t new, recent advances in storage and computation technologies are enabling us to store and process data in huge volumes, and are taking data analytics to the next step, opening up possibilities that weren’t conceivable before. Continue reading
businesses need to turn real-time data into real-time decision making if they are to succeed in an ever-changing business environment.
Guest post by Julie Lockner of InterSystems
“The biggest problem we face is re-shaping ourselves so that we’re better placed to change as rapidly as the world around us.”
Wise words from Stephen Foreshew-Cain, executive director of the UK’s Government Digital Service, as he looked forward to the government of the future. The same holds true for business across all sectors.
Change is rapid and constant, and the traditional model of basing decisions on meticulously gathered and refined historical data is no longer fit for purpose. Looking over one’s shoulder is no way to make positive decisions; basing choices on information that is hours, days and event months old is the equivalent of driving through the rear view mirror. Continue reading
I love Google—can’t get enough of it in fact. It allows me to search the entire internet at the speed of lightning, takes care of my emails, calendar, documents and whatnot. And it has also provided me with the main web browser I use on non-Mac computers.
And it’s giving me all this for free. Or is it?
In fact, it’s not. Google is a for-profit business and is not in the habit of making generous pro bono giveaways. In exchange for the services it offers, the firm collects tons of data from each of its users, and we all know that data is the currency of the future. Continue reading
The complexity of the cybersecurity landscape is simultaneously increasing in different directions. On the one hand, the volume and sensitivity of data being stored and used by firms is growing, which means IT security experts have their hands full of information that needs to be secured. Meanwhile, hackers are constantly attacking organizations in new, inconceivable ways, making traditional security tools less and less effective. Continue reading
It goes without saying that cybersecurity is a serious concern, especially as internet and online services become more ingrained in our lives. Since the advent of Internet of Things (IoT), the number of connected devices in our homes, office and on our person is growing at a fast pace. Connected devices already outnumber human beings, and continue to propagate at a chaotic pace across many fields, including healthcare, home appliances, industrial control systems (ICS) and vehicles. Continue reading
A lot is being said about the benefits big data and analytics. Everywhere companies are using big data and analytics to better understand customer behavior and improve products and offer better customer service (and display ads that are more likely to influence the viewer and produce better click through rates). Analytics are being used to make better market predictions, improve efficiency and utility, decrease costs and consumption levels…
Big data is also riddled with privacy issues, which is being talked about as well. Things such as habits, personal information and sensitive health information being collected by service providers without the consent of consumers have become common controversial issues. Just recently, Oculus Rift was brought to highlight because of its murky data collection policy. And don’t get me started on the privacy issues about privacy issues introduced by the Internet of Things. Continue reading