Alldus International covers your business consulting, staffing and networking needs across the United States and Europe. Alldus can help you discover how Data Science and AI can transform your company with an unrivalled network of C-Suite executives and Senior AI Professionals.
Become a member of the Alldus community and enjoy and enjoy our AI Meetups. Once a month our community gathers to hear from some of the leading experts in the world of Data Science and AI. Our speakers come from all over the world including Dublin, Boston, New York and Berlin.
We also have the AI Mentors podcast where our experts will provide mentoring to Alldus members and of course, the AI in Action podcast where each week we have guests from all over the world talking us through their education, career and more.
Become an Alldus member and get the Alldus advantage by signing up to our newsletter.
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As Artificial Intelligence permeates every aspect of our lives more and more, it is vital that governments across the world develop their own guidelines in order to ensure that AI and other emerging technologies are geared towards greater societal benefits.
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Stephane Gamard, Principal Architect at Quandoo joins Anthony Kelly on the AI in Action podcast to discuss how they add value to the dining experience, using Data Science to help restaurants understand their customers better, their mission to connect guests and restaurateurs and more
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AI and machine learning are at the forefront of all cutting edge technology and because of this the worlds top technological minds have all had their say about how these technologies will shape our future. Here are our favourite quotes from the world's top minds.
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A recent Indeed report published really highlighted the talent gap within AI and machine learning with job postings are soaring butbthe number of searches is dropping. The report indicates that the drop is attributed to the lack of qualified professionals that are able to fill these roles.
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On episode 36 of the AI in Action podcast, host Anthony Kelly chats with omni:us VP of Engineering Nischal Harohalli Padmanabha on how omni:us are digitalizing the insurance sector, the importance of labelling your data, how they use AI to solve business problems and more
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The eighth AI in Action Berlin meetup took over Blacklane as we were introduced to the myth behind the Superman Data Scientist, Deep Learning for Computer Vision and developing a production-ready system from another top line up of Germany's finest AI and Data Science minds.
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Oliver Christie, Co-Founder at Moven AI joins host JP Valentine on AI in Action to discuss projects he works on helping companies embrace AI, battling Bias in Data-Driven decision-making, the role of governments introducing AI strategies, how to maximise your Data Science career and more
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Deep Learning, has not yet earned the title of 'science fiction come to life.' However, It's had some influence on our world, particularly to those who are hearing or visually impaired. Here are 4 applications of Deep Learning which are already affecting our everyday lives.
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As the Data Science industry expands and evolves, there is also a growing need for more cross-functional data science teams with a wide range of disciplines in order for companies to realise the full impact of their data-driven initiatives.
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Jose Garcia Moreno-Torres, Chief Data Officer at Heyjobs joins Anthony Kelly on the AI in Action Podcast to discuss how they use their data at Heyjobs, building an automated pipeline, how their platform determines a good candidate, how to scale a data science team and more.
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Host JP Valentine meets JT Kostman, Data Scientist and Applied AI Expert on episode 23 of AI Mentors. In the show, they will discuss JT's unique journey to the data science world, top tips on how to be a successful Data Scientist, the importance of storytelling & being passionate about what you do
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Data is a valuable resource but so are people and in the age of bigger and bigger data, the two must work in tandem. For executives, one of the biggest challenges they are facing right now is how to effectively transition to a more data-driven culture.
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