The year 2021 has been a crazy year in many aspects. Of course, we were shaped and influenced by the pandemic and its effect on us as a company, as individuals and on our clients. In particular the high amount of uncertainty was something that both, our clients and we as a young startup – that faces high level of uncertainty anyways – had to deal with. Still, we can look back on 2021 with some pride, having won 50 new clients in less than a year. You might ask: How is that possible, what’s the secret? We’d love to share with you some of our findings.
How to make social data answer questions that matter to your business? A story of how our AI Factory allowed us to fetch and analyze the social graph in less than a week.
Implementing Artificial Intelligence (AI) in an organization can come with numerous challenges. Often, companies tend to focus on technological obstacles and a strategy of how to deal with data and finding a way to solve the technological problems.
What is a data lake? Is it the same as a data warehouse? And why should you even care?
The last 5 years have seen the machine learning industry explode into a variety of tools and services, both managed and open source. This article tells our story of navigating this space. If you’re an engineering manager looking to build up teams, infrastructure and invest in AI enabled products, it is for you.
When thinking about Artificial Intelligence (AI) we have several pictures coming up into our minds. These are strongly influenced by the touch points we already had with AI. There is an ambiguity on how AI is perceived in society. One of the pictures creating fears of AI and spooking around for several years is one that numerous books and sci-fi movies to illustrate.
80% of the German industry start their AI Journey with typical regression / classification use cases
In 2020 we talked to more than 100 enterprise companies about AI in their business. Here are 5 interesting trends we discovered.
What 42,968 participants working on 1989 challenges can create in 48 hours.
Offering Kineo.ai’s infrastructure powered by AWS and machine learning expertise this 20–22 March, 2020.