Contributors
German radiologists are eager to co-create the future of AI in their field.
What is the promise of AI to radiologists? How will the future customize preventive medicine using cross-functional data, like genomics and historical data? Read on. One hundred and fourteen years ago, the first Röntgen Congress was held in Berlin to explore Wilhelm Conrad Röntgen’s discovery, X- Rays, a medical miracle
How to attract and retain the important, but elusive, data scientist
As a relatively new role, “data guru” is a challenging job specification to draft for. Organisations are seeking highly-skilled and well-educated individuals to fulfil the position but, the truth is, the data scientist an organisation needs is not a guru, but a colleague. Most organisations forget that recruiting the right
One year of GDPR: What has changed or what hasn’t?
Was this a transition year for data protection? How much were the fines collected in the first year of GDPR? What regulations have been enforced so far? Here is all you want to know about GDPR, after a year of its implementation. The European Commission started in January 2012
Three Critical Aspects of Design Thinking for Big Data Solutions
Design thinking continues to be all the rage amongst organizations of all kinds – from academia to startups, to agencies and consultancies, or large enterprises. The concept is popular today not because it’s new per se, but its approach to problem-solving fits well with the digital transformation that companies are
Not Accounting for Bias in AI Is Reckless
I’ll never forget my “aha” moment with bias in AI. I was working at IBM as the product owner for Watson Visual Recognition. We knew that the API wasn’t the best in class at returning “accurate” tags for images, and we needed to improve it. I was nervous about the
The Right Workforce Turns Data into Rocket Fuel for AI Projects
Breaking down the workforce options for AI developers to structure raw data for machine learning. Here is a look. While it may seem like artificial intelligence (AI) has hit the big time, a lot of work needs to be done before its potential really come to life. In our modern
Call to all developers, programmers, entrepreneurs: Three challenges await you
Meet investors, Blockchain and crypto enthusiasts, a talent pool of developers and programmers as they solve three Blockchain challenges over two days in Berlin. Here is why you should be a part of LongHash Cryptocon Vol2. Berlin has been recognised as the cryptocurrency capital of Europe for more than half
“With Algo-Trading, the market will have good liquidity & higher profits for users from the trading process.”
How to implement an Algo Order in Cybex Dex？Yes, this is one of the challenges for the second Blockchain Hackathon (part of LongHash Cryptocon Vol2) in Berlin on May 18-19 this year. More details here. As an advantage to all developers, Blockchain enthusiasts and Crypto geeks who are aching to
AI Jobs Disruption – Why the U.S. Financial Services Industry is Different
No longer considered the “future of work,” AI is infiltrating industries and job roles at impactful rates. Across the U.S. economy, one-third of the U.S. workers are interacting with some form of AI in their jobs today – even if many of these interactions are still in a limited capacity.
Distributed Data Caching Using Big Data
The advent of the emerging sector of Big Data has brought with it the promise of highly scalable databases to handle terabytes of data at a time. Dealing with colossal datasets will attest to have difficulty for manipulating, storing and retrieving information in bulk quantities to determine if the cache
