Conversations

Chris Latimer tells how to use real-time data to scale and perform better
Real-time data is more critical than ever. We need it for quick decisions and pivot timely. Yet, most businesses can’t do this because they must upgrade their software and hardware to cope with real-time data processing’s demanding performance and scale standards. And when they can’t, we are left with stale

Ken Jee explains how to build a career as a data scientist
There’s no doubt that data scientists are in high demand right now. Companies are looking for people who can help them make sense of all the data they’re collecting and use it to make better decisions. Being a data scientist is a great way to start or further your career.

In conversation: the Chaos Computer Club, transparency, and data income plans
Towards the end of 2021, I spoke with Julio Santos, the technical cofounder of Fractal – creators of the Fractal Protocol – on some of the essential topics in data sovereignty, privacy, and security. As with my organization, polypoly, we have concerns over the free access significant companies have over

DataRobot CEO calls for ‘a new era of democratization of AI’
This article was originally published at VentureBeat and has been reproduced with permission. Dan Wright just became CEO of DataRobot, a company valued at more than $2.7 billion that is promising to automate the building, deployment, and management of AI models in a way that makes AI accessible to every

Where Data Scientist Salaries are Headed in 2021
For many years now, becoming a data scientist has been the goal for many. Billed as the hottest role of the 21st century, data scientists are among the highest paid in the IT industry and one of the most scarce right now. In fact, according to Glassdoor, the average salary

Food Delivery Via Drones: A Reality in Iceland
Goldman Sachs predicts that a $100+ billion market opportunity for drones will exist until 2020 – and that’s not just for military usage. The aviation sector is clearly an attractive market capable of drawing in young entrepreneurial teams from across the world, such as the German startup AIRTEAM – an

Getting Your Feet Muddy with Data Science: A Conversation with Ross Taylor
As companies digitize and data occupies a more central place in our lives, corporations are struggling to find enough talented people to meet the business challenges they face. This has created exceptional opportunities for individuals who are up for tackling those challenges. Ross Taylor of ALPIMA started his career as an economist

Women in Data Science: “We built a conference to become a movement”
2018 has brought a new focus to the careers, excellence and issues of working women, and this extends into the fields of tech and data science. As we approach the Women in Data Science (WiDS) conference on March 5, 2018, it is important to take a moment and reflect on

Machine Learning for Connecting Organizations: A Conversation with Roger Gorman
In the 1990s, anthropologist Robin Dunbar hypothesized that the maximum number of people an individual can personally know and remember is 150 — Dunbar’s number. The specific figure is debated, but it is common sense that the human cognitive capacity to understand relationships at scale has a limit. The larger

Taking a look at “Hyper-personalization”
The sudden evolution of the phone from a single-function device for making calls to a multifunctional pocket computer is one that’s already changed how we conduct business and live our lives a great deal. Now more than ever before, however, our behavior is also influencing this evolution to create products