Did you miss a session from the Future of Work Summit? Let the OSS Enterprise newsletter guide your open source journey! The Linux Foundation, the nonprofit consortium that provides a vendor-neutral hub for open source projects. The Linux Foundation will maintain Kedro under Linux Foundation AI & Data (LF AI & Data), an umbrella organization founded in 2018 to bolster innovation in AI by supporting technical projects, developer communities, and companies. "We're excited to welcome the Kedro project into LF AI & Data. It addresses the many challenges that exist in creating machine learning products today and it is a fantastic complement to our portfolio of hosted technical projects," Ibrahim Haddad, executive director of LF AI & Data, said.

When it comes to an AI (Artificial Intelligence) project, there is usually lots of excitement. The focus is often on using new-fangled algorithms – such as deep learning neural networks – to unlock insights that will transform the business. But in this process, something often gets lost: The importance of establishing the right plan for the data. Keep in mind that 80% of the time of an AI project can be spent on identifying, storing, processing and cleansing data. "The big gotcha is having bad data fed into your AI systems," said David Linthicum, who is the Chief Cloud Strategy Officer at Deloitte Consulting LLP.

When it comes to an AI (Artificial Intelligence) project, there is usually lots of excitement.

Because we know how to have fun, we were (litteraly) excited about spending days and nights on crunching data of European startups funded in 2016 to eventually get a real sense of what is AI and Data's real trend in Europe. Here are 4 facts that will make you change your views and you can discover the full report at the end. Numbers stagger: $774 million -- Yes 7–7 and 4, nearly 10% of the total 10 billion invested in European startups in 2016, has been fully dedicated to AI & data. Even more striking is the number of AI start-ups financed: 271, three times 2015 figures. This trend has been led by early stage investments which played a signifiant role: $215 million have been invested in 171 early stage startups (0 to $5m in funding).

Data on what drives your customers are fueling every element of today's marketing strategies. From understanding their motivation to buying products to mapping the thought process driving brand selection, it's easier to understand more about what your customers do and what drives those actions than ever before. However, at the end of the day, what good marketers know is that buying is ultimately an emotional process. Psychological and behavioral insights can help to improve campaigns. But emotional insights can lead to groundbreaking marketing efforts that foster real relationships with consumers and trigger them to take immediate action.