Tag: AI

Big Data and Business

by on July 27, 2018 9:24 am
The presentation form Srijan Kumar (Stanford)  gave insights on the components of Big Data and data mining. Describing Big Data as the combination of: Machine Learning Statistics Artificial Intelligence Databases is a great way to look at it. I would like to add the notion that we can think of Artificial Intelligence as the combination… Read more Big Data and Business

The War on Cybercrime

by on July 26, 2018 4:18 pm
Costs associated with cybercrime damages are predicted to rise to six trillion annually by 2021. Cybersecurity spending is estimated to exceed one trillion from 2017 to 2021. 3.5 million new cybersecurity jobs expected to be filled by 2021. Six billion internet users anticipated by 2022, all of which are potential targets for cybercrime [1]. Global… Read more The War on Cybercrime

Blockchain + AI

by on July 25, 2018 7:03 pm
I totally agree with this statement: AI is new productive forces and Blockchain is new productive relations. “AI, Blockchain and the Internet of Things” is the new “Social, Mobile and Cloud”. AI + Blockchain is a very exciting and challenging hot topic. Interestingly, AI and Blockchain have many opposite aspects [1]. For instance, AI is centralized… Read more Blockchain + AI

Online Dating Will Teach You What You Need in Digital Era

by on July 25, 2018 4:50 pm
Tinder? eHarmony? Match.com? Nowadays there are many matching sites and apps. Some of my friends are addicted to Tinder, while some of them complain that they don’t get good matches even though the matching quality is said to be increasing. To be honest, I know how they feel. Personally, I started to use dating apps… Read more Online Dating Will Teach You What You Need in Digital Era

AI: misconceptions and myths

by on July 24, 2018 6:03 pm
  Artificial intelligence has been the biggest trend in startups in the last years, it has gotten into a point that AI is no longer a differentiator between competitors.  Carl Eschenbach from Sequoia Capital even joked in his talk at our class that whenever they listen to a pitch that does not mention AI or… Read more AI: misconceptions and myths

Cyber Security

by on July 24, 2018 11:48 am
Cyber threat refers to a person who attempts to gain access into a computer system or information without proper authorisation by the use of a data communication pathway. Cyber threats are no unknown devil in the 21st century, private information being shared and leaked around the world is now normal, armies of countries and companies… Read more Cyber Security

What AI is Not

by on July 22, 2018 12:53 pm
According to a recent survey, 43 percent of respondents in the U.S. and 46 percent of respondents in the UK answered that they have no idea what AI is about1.  Of those who answered that they did have some idea of the definition of AI, according to Craig Martell’s lecture, they are likely incorrect.  There… Read more What AI is Not

Using Big Data to Fight Credit Card Fraud

by on July 21, 2018 4:56 pm
According to research payments group Javelin, 15.4 million consumers experienced identity theft or fraud in 2016, amounting to more than $16 billion worth of theft.[1] As fraudulent credit card purchases grow, the onus is on credit card and payments companies to take action: the Fair Credit Billing Act states that credit card owners are liable… Read more Using Big Data to Fight Credit Card Fraud

AI and AR/VR

by on July 20, 2018 9:22 pm
I would to blog this week on combining AI and VR (Virtual reality)/AR (Augmented Reality). I would like to ask myself 2 questions and attempt to answer them with available articles out there that discuss about the questions. How AI relates to VR/AR? How AI helps create more powerful VR/AR enabled devices and businesses? On… Read more AI and AR/VR

The danger of biased algorithmic systems and how to solve it

by on July 20, 2018 3:14 pm
What you give is what you get. This saying seems to be perfectly applicable to the realm of AI systems as well. Or as IBM puts it (3), artificial intelligence is only “as effective as the data it was trained on” and, therefore, machine intelligence is “accurately reflecting the prejudices of the people it drew… Read more The danger of biased algorithmic systems and how to solve it