Showing posts from October, 2019

Choose Your Investment Portfolio Wisely; It’s Your Prized Asset!

It’s very crucial as an investor to have experience and skill set in investing as market status is unreliable and economy is uncertain in the prevailing scenario. The most shared investment trick that one can fall for is believing into that you can predict market jump in for the bull market and exit the bear market. One must have appropriate set of goals, save regularly, and monitor your progress periodically. Following are the steps that you can look while choosing your portfolios and you are likely to feel good about your portfolio in the long term. Keep a set appropriate set of goals Set some ground rules and be ready with a planner for your investment plans. Goals could be short or long term. Jot down your goals and review them once in a while to see your performance. To achieve your long-term goals, use long-term investments such as shares and bonds. Use safe and interest-bearing instruments for short-term goals. The Compounding Theory Early you start investin

How to Shape your Career in AI?

Artificial Intelligence (AI) has been a booming new technology that has revolutionized the technical interface globally. AI majorly made it to the local headlines when people started to report about Alexa reports, which led to the rise of jokes surrounding computer, AI taking all over the world and converted it into a household thing almost overnight. The Three Key Stages of AI  AI has been fast growing ever since and evolving with each passing day, which is one of the main reasons as to why a career in AI offers so much potential today for professionals. As technology grows manifold, knowledge improves simultaneously and chances a flourishing career prospective are evident. Here are the three stages of AI as described by Van Loon, given as follows:  •  Machine learning comprises of smart systems using algorithms to study from skill. •  Machine intelligence is where our current AI technology resides now, where our machines learn from experience based on false algor