The Information Age (also known as the Computer Age, Digital Age, or New Media Age) is a historic period beginning in the 20th century and characterized by the rapid shift from traditional industry that the Industrial Revolution brought through industrialization to an economy primarily based upon information technology. The impact was felt greatest in social media space which brought about the words Big Data and Data Science.
Source : Mckinsey Global Institute
Are “dark” warehouses, humming along without humans, just around the corner? Predictions of dramatic job loss due to technology adoption and automation often highlight warehousing as an industry on the brink of transformation. The potential elimination of many blue-collar jobs is a pressing issue for policy makers and raises important questions about how workers will fare in the economy of the future. Berkeley Labour Centre.
Here are the top 3 hard skills companies need most in 2019
source : https://ieeexplore.ieee.org
Blockchain is a transparent and verifiable system which will change the way people think about exchanging value and assets, enforcing contracts, and sharing data. The technology is a shared, secure ledger of transactions distributed among a network of computers, rather than resting with a single provider.
IoT devices generate intense amount of data, putting immense pressure on the internet infrastructure. This is where the role of Cloud Computing comes into play. Cloud Computing assists in storing, processing, and transferring data in the cloud instead of connected devices
Artificial Intelligence is the broader concept of machines being able to carry out tasks in a way that we would consider “smart”. And, Machine Learning is a current application of AI based around the idea that we should really just be able to give machines access to data and let them learn for themselves.
Business Analytical skills refer to the ability to collect and analyse information, problem-solve, and make decisions. These strengths can help solve a company’s problems and improve upon its overall productivity and success.
Data Analytical skills when detecting patterns, brainstorming, observing, interpreting data, integrating new information, theorizing, and making decisions based on multiple factors and options available.
In conclusion, the Gartner Hype Cycle should be used as a guide to remaining relevant to industry driven technologies to pursue both personal and professional advancements.