The COVID-19 pandemic is a very difficult moment. It is impacting our health, economy, and livelihood; and it is spurring the creation of digital data. Business and government should seize the one great opportunity we have: Scale the data economy now.
Let me show you how — so that you too can support the #datalift. The AI Guild is looking for partners and collaborators in rolling out a supervised hands-on program for scaling use cases in data analytics and machine learning.
The AI Guild brings together expert, senior, and junior practitioners in Europe and worldwide in pursuit of accelerated AI adoption by focusing on productionizing AI in relevant use and business cases. We value diversity and also the gender balance we achieve in our community activities. If this sounds interesting to you, then please read on about the members, the value the AI Guild creates, and how to become a community or founding member.
Productionizing relevant use and business cases has the following implications:
Data, Data Science, and Deep Learning increasingly are at the center of existing and upcoming businesses. The AI Guild accelerates AI adoption by bringing together practitioners in driving forward the use of data science and machine learning in industry and startups. We focus on product over projects because we believe it is essential that the
The AI Guild is the go-to community for data scientists, data engineers, machine learners, and deep learners — and also for the entrepreneurs and professionals building AI use and business…
Personal notes from building a mobility innovation community at The Drivery
Some six months ago, on the 1st of March 2019, The Drivery opened its doors. The paint was dry, the stage floor just uncovered, but the screen still wrapped in foil. We got going with kickscooter test rides. On stage with me were Julian Blessin (Co-founder of TIER Mobility) and Julia Boss (MD of WIND), discussing the coming urban micromobility revolution and the joys and challenges of building startups capitalizing on this trend while also pushing for change.
In just six months, from March to August 2019, The Drivery…
The open letter by AI Guild members for current and future AI Guild members
We met on 25 May 2019 for the launch of the AI Guild. We are 100+ AI professionals from more than 30 countries collaborating and supporting each other. Intentionally, half of the initial members are men; and half are women.
We ran the AI Guild purpose workshops for members to establish a joint starting point. We launched the AI Guild to foster the accelerated adoption of AI.
This first letter outlines the mission and values of the AI Guild. We summarized the purpose workshop results and…
…in a company or industry.
The quest to empower talent turning Data Scientist has led to a follow-on observation: Many companies are struggling to establish the business case for Machine Learning.
The struggle to establish the business case leads to unwanted consequences such as
From what I know and the examples I have the following insight has been distilled:
Holger Hoos, co-initiator of CLAIRE and Professor of Machine Learning at Universiteit Leiden (07 September 2018, CLAIRE Symposium, Brussels)
The CLAIRE symposium is a rare moment of bottom-up self organization: Agile, urgent, and with a sense of mission. On 07 September, 100 key community members from academia and industry came together to discuss and agree an action plan for all of AI, all of Europe, and with a human-centered focus.
It was my pleasure to participate. This is the summary of my most important insights and results from the symposium. I have identified the following key areas:
The story so far…
In June 2017, the Women & Data Science scholarship was created for Data Science Retreat. It was designed to address gender imbalance at Data Science Retreat. The overall mission is to contribute to equality and empowerment in the tech industry by making the statement that industry is missing out by not searching for talent wide and well enough.
Künstliche Intelligenz ist in aller Munde, und das zu Recht: Autonome Autos, autonome LKW und autonome Drohnen sind bereits erfolgreich unterwegs. Doch das ist erst der Anfang, denn der weltweite industrielle Einsatz in vielen Bereichen steht bevor, von der Gesundheit bis zu den Finanzen. Oft wird angenommen, dass Automatisierung Angestellte bedroht. Jedoch ist die absolute Zahl der Beschäftigten weltweit in den letzten hundert Jahren immer gestiegen, auch wegen der durch Automatisierung erzielten Produktivitätsgewinne. Mehr noch, für die Künstliche Intelligenz fehlt es an Talenten wie Spezialisten und damit auch an Verständnis für diese Technologie.
1. Der Mangel an Spezialisten
At some point, most PhDs wonder whether to continue in academia or leave for a job in the industry. More money, time or impact: Motives will vary, and will be equally valid. Data Analytics, Data Science & Artificial Intelligence constitute the fastest growing job market for the very highly qualified.
This free event will give you the following: