Xyon Global’s Post

In a recent discussion with Tanner Ducharme, a Machine Learning Engineer and Data Scientist, key insights into the realities of working in AI were shared. The conversation emphasized the critical role of domain expertise in successfully applying AI technologies. Ducharme highlighted that understanding the specific industry context can significantly enhance the effectiveness of AI solutions. Various pathways into the AI field were also explored, illustrating that there is no single route to entering this dynamic sector. Ducharme pointed out essential tools that machine learning engineers rely on, which can serve as a foundation for those looking to enhance their skill set. Moreover, the discussion touched on the accessible aspects of data science, making it clear that aspiring professionals can find entry points regardless of their background. Ducharme offered practical tips for those considering a career in AI, reinforcing the importance of continuous learning and adaptation in this fast-evolving field. This dialogue serves as a valuable resource for anyone interested in pursuing a career in AI, providing both insights and guidance for a successful journey. #ArtificialIntelligence #MachineLearning #DataScience #CareerDevelopment #DomainExpertise ---------------------- Learn more here: https://lnkd.in/eEznXg2i

interested in AI

This AI scientist's frustration is exactly what I discussed three years ago in the T-shaped Teams report (https://lnkd.in/gMCh2sWX): AI adoption isn't just about hiring machine learning PhDs or data scientists. You need someone who have a firm grasp on both your business and AI to integrate these techniques effectively into your workflow and achieve tangible results. Without this, not only are you wasting time and money, but you're also setting back AI adoption by years. Failure in this initial phase will erode credibility, making future attempts significantly harder. #AI #AIinfinance #TshapedTeams https://lnkd.in/gXMYQ2Sx

The market for AI technologies is vast, amounting to around 200 billion U.S. dollars in 2023 and is expected to grow well beyond that to over 1.8 trillion U.S. dollars by 2030. 💼💡💰 Didn't get on the Nvidia train… Fail.😩🚂 It’s amazing how far AI has come since I first had interaction recruiting ML engineers & Data Scientists to build NLP chatbots in 2015. To think where it will be in the next decade is mind-bending. 🤯🤖🌐 #recruitwithbillie #holdonandenjoytheride #ai 🎢👀

The Sad Reality of AI Job Market w/ ML Engineer This is a Part 1 of a conversation with Tanner Ducharme, Machine Learning Engineer & Data Scientist. As AI Industry is dominating the headlines we take a deeper look what doesn't get covered: the reality of AI Job market, challenge with integrating AI into a business, and controversy surrounding prompt engineering. https://lnkd.in/ePkra6ec

💮 To become an AI company, focus on building a skilled team, developing industry-specific AI solutions, and forming strategic partnerships to stay innovative and competitive in the rapidly evolving field of artificial intelligence. Cultivate a team of skilled professionals with expertise in artificial intelligence, including data scientists, machine learning engineers, and software developers. Request a demo today! 🔗 https://logicplum.com/ #LogicPlum #AI #DataScience #MachineLearning #BusinessIntelligence #DataScientists #ITLeaders #BIAnalysts

Considering the interesting differences between machine learning engineers and data scientists in AI. Which way attracts your attention the most? . . Need Help With Writing Service? Visit our website: https://lnkd.in/gWthnCV4 Contact us at [+44 7401099509] . . #assignment #assignmenthelp #assignmentdesk #DataScience #MachineLearning #AI #TechCareers #DataScientist #MLEngineer #artificialintelligence #techroles #bigdata #techcommunity #DataVsML #stem #futureofwork #techlife #indatawetrust #airevolution #techinnovation #smarttech #datadriven #algorithmdesign

How to become an AI Engineer? Here's my 1 hour take on how to upskill to become an AI Engineer - https://lnkd.in/gmwR8zHQ

✨ Ever wonder about the different stages of a Computer Vision Engineer? Check out the most common requirements and responsibilities for each role! #ai #computervision #deeplearning #airoles #jobs #jobroles

I came across an incredibly helpful roadmap for becoming an AI engineer created by Code Basics. This detailed guide provides a comprehensive set of instructions for mastering the various skills needed to excel in the field of artificial intelligence. It's an invaluable resource for anyone looking to pursue a career in AI.