Top artificial intelligence news daily from 9th to 15th March 2020 curated by the VisibleBanking.com team with the help of our global fintech community.
In this series, we are aiming to create the most relevant and insightful weekly AI news with some of the best, most recent content worth sharing on social media.
The Challenge of AI News Curation
Unarguably, the biggest challenge on the likes of twitter is to cut through the noise. Indeed, too many people, even some of my good friends recognised as top fintech influencers tend to share:
- the same articles several times (a good technique to maximise the visibility of your content)
- older articles (sometime outdated, usually still relevant)
- striking (highly shareable) infographics without sources
Consequently, it makes it rather challenging to flag the best, recent news and stories.
Top AI News: Methodology
We essentially spend most of our days scanning though the top articles on Google and monitoring the most relevant articles shared by the global fintech community on twitter and linkedin.
Last but not least, we proactively ask our fellow fintech influencers to recommend their top picks.
AI News Daily: Contribute!
We invite you to help us by mentioning/tagging @Visible_banking on your top tweets and voting for your favourite article(s). Additionally, please share your comments on any of those articles via the straight forward comment section available on every entry.
We moderate your submission, so please no self-promotion or vendor success stories here. Alternatively, feel free to enquire for our sponsoring opportunities.
Top AI News: Week #10
You will find our shortlist of the top artificial intelligence news between 9-15 March 2020 below.
Artificial intelligence has reached the inflection point where it’s less of a trend than a core ingredient across virtually every aspect of computing. These companies are applying the technology to everything from treating strokes to detecting water leaks to understanding fast-food orders. And some of them are designing the AI-ready chips that will unleash even more algorithmic innovations in the years to come.
Recent surveys, studies, forecasts and other quantitative assessments of the progress and impact of AI highlight the growing respect for data and its uses by businesses everywhere and the increasingly positive—but still mixed—attitudes towards AI by US consumers.
It’s almost impossible to pick up a trade journal, hear a start-up pitch or listen to a quarterly earnings call without hearing the two magic letters: AI. Over the past few years, interest in artificial intelligence has rocketed with no sign of abating. But in the stampede to build an AI strategy, executives fall into the following four main traps.
BBVA’s Turkish unit broke new ground in the country, issuing Turkey’s first integrated annual report based on artificial intelligence. A leader in harnessing the power of technology in its products and services, the bank issued its 2019 Integrated Annual Report entitled ‘The Next Decade’.
“AI’s real-world usage may appear limited compared to the fanfare surrounding it today, but our research aims to accurately depict its adoption, so we precisely define AI,” the report states. “Systems fitting our definition must have current business applications and be able to work with and learn from dynamic data sets in real time, and these capabilities must be able to associate with specific entities within a system.”
From insurance payments to courtroom sentencing, AI makes increasingly complex decisions about our lives. And our belief that data is neutral allows algorithms to get away with murder. The fight back is being led by those most likely to find themselves on the wrong side of a computer’s decision.
The financial sector generates a lot of valuable data, from individual purchases to large transactions. Given the enormous treasure that all this information holds, expectations of the impact of artificial intelligence (AI) in the banking sector could not be higher.
According to a report, it is estimated that there will be 3.5 million unfilled cybersecurity jobs globally by the year 2021. And therefore, companies are struggling to find adequate qualified people to assist in creating an intelligent cybersecurity framework.