Databricks, a data processing and analytics platform with a strong focus on artificial intelligence (AI) and machine learning (ML), is investing 100 million euros (US$111 million) in its European Development Center to take advantage of the European pool of talent and cutting-edge research.
The money comes from the recent round of series F funding led by venture capital firm Andreessen Horowitz, which included Microsoft and BlackRock, among other investors.
Founded just six years ago by the original creators of Apache Spark, Databricks quickly grew from a project at the University of California Berkeley to a cloud-based “unified data analytics platform.”
Why invest in an engineering center in Europe? A recent post on the company’s blog explains:
Increasingly, AI is about talent, and not just at the company level. Governments around the world are getting more active in providing incentives for local talent to stay at home and for employers to bring global talent in. So it is not surprising that Databricks is investing in the European Development Center, which it intends to grow into an engineering hub. It is also not surprising that the Netherlands government is actively supporting it. Will Amsterdam at some point compete with Silicon Valley, Toronto, Seattle, Boston, and New York? Time will tell.
Transparency, explainability, and trust are pressing topics in AI/ML today. While much has been written about why these are important and what organizations should do, no tools to help implement these principles have existed – until now.
IBM is changing the terms of its ubiquitous Passport Advantage agreement to remove entitled discounts on over 5,000 on-premises software products, resulting in an immediate price increase for IBM Software & Support (S&S) across its vast customer landscape.
The beauty of good story telling is its applicability to the most unexpected situations. In 1871, Lewis Carroll wrote about the evil Queen trying to convince Alice to work for her, with a promise of “jam to-morrow and jam yesterday – but never jam to-day.” Little did he know that this one statement would be used by economists, politicians, playwrights, and musicians long after he wrote it – it's time to add data analysts to the list.
PHEMI is a data privacy solution focused on keeping data-processing activities secure by redacting information based on the role of the accessor. Thus, allowing such data to be used for multiple use cases without compromising privacy.
Recently I attended the inaugural Emotion AI conference, organized by Seth Grimes, a leading analyst and business consultant in the areas of natural language processing, text analytics, sentiment analysis, and their business applications. So, what is emotion AI, why is it relevant, and what do you need to know about it?
Board International follows the trend of delivering solutions by opening a solution marketplace while strengthening customer trust by getting SOC-2 and SOC-3 certifications.
SortSpoke’s novel approach to machine learning answers a longstanding problem in financial services – how to efficiently extract critical data from inbound, unstructured documents at 100% data quality.
Amazon is offering its cashierless store technology to other retailers. The technology known as “Just Walk Out” eliminates checkout lines, offering an “effortless” shopping experience and shifting store associates to “more valuable activities”.
As the COVID-19 pandemic is shutting down whole countries, a few of you may be wondering whether AI can help create a vaccine for the virus responsible. After all, AI is magic, right?