shutterstock-662065279
Analytics Software

Personality predictions based on LinkedIn are already scarily accurate

At a recent tech startup reception I bumped into an old colleague. After catching up he showed me, as nerds love to do, something ‘new’ on his smartphone. The app analyzed my LinkedIn profile on the fly fairly accurately and matched my profile with others to provide insight on how we could collaborate together. The app, called Crystal Knows, is scary, not in what it does today, although impressive, but what it means for the near future.

Install Crystal Knows free as a Chrome extension and you can check any LinkedIn profile in seconds based on the DISC (Dominance-Influence-Conscientiousness-Steadiness) personality classifier. Additionally you can compare two profiles and Crystal will suggest how you can work with potential contacts. Upgrade to a paying subscription and Crystal, like an experienced PA, will suggest how to best approach people based on their profiles or how to write them effective emails.

Under the hood of Crystal are clever ‘text analysis’ algorithms that analyze the content of your communication, meaning what it finds on LinkedIn, and then with statistical modeling, judges your personality according to the DISC personality classification system invented by W. M. Marston, a physiological psychologist. As with all statistical models, the more data Crystal collects, the smarter and more accurately it will judge you.

This is compounded by other systems. Have a look at Facelytics, much more then scanning your face as a replacement for the security on your iPhone X, it also detects gender, age and emotions through your selfie camera. Next step would be to use the app in recruitment processes.

All combinations and suggestions need to be pre-programmed, but this technology is in its infancy. Anybody familiar with Artificial Intelligence, Machine Learning and Data Science should see where this is heading. Our smartphones and the stuff we post on social media are such rich data sources that Crystal and Facelytics are just the beginning of a wave of intelligence apps that will weave every bit of information together and based on underlying models – be it personality, marketing, or fraud detection models – determine who you are, how to treat you or what to sell you. And the outcomes will become more accurate over time.

To continue reading...


PREVIOUS ARTICLE

« Just how in-demand are big data skills?

NEXT ARTICLE

Low-code: what it can do for your enterprise - and what it can't »

Recommended for You

20 Red-Hot, Pre-IPO companies to watch in 2019 B2B tech - Part 1

Martin Veitch's inside track on today’s tech trends

Training and certification for a cloud native world

Keri Allan looks at the latest trends and technologies

Unicorns are running free in the UK but Brexit poses a tough challenge

Trevor Clawson on the outlook for UK Tech startups

Poll

Do you think your smartphone is making you a workaholic?