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Helping you build tech skills & land a cloud job! ☁️ Hi there! I'm Lucy, an Ex-AWS Solutions Architect. 👩💻 I started my IT journey when I was 18, then joined Amazon Web Services (AWS) as a Solutions Architect when I was 21. This "Tech With Lucy" channel was born out of a desire to help others start a career in Cloud industry. After 2 years working as an AWS Solutions Architect, I quit my job to create videos full-time! 📸 I'm passionate about helping early-career professionals, career-changers, and aspiring techies get hired in the Cloud. If you have any video suggestions - please let me know. 📞 Need help navigating your career? Book a mentoring call: https://calendly.com/techwithlucy/ 📚 Want to dive deeper into AWS cloud? Check out my courses: https://learn.techwithlucy.com/ 📩 Business Inquiries: Disclaimer: Views expressed in these videos are my own.
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Digital entrepreneur, scientist, and developer of the methodology for creating digital copies of human consciousness, encompassing knowledge, philosophy, and logic, with subsequent representation in the form of artificial intelligence in the project https://binom.no.
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CEO Interviews from across the ASX along with markets & macroeconomics discussions 📊 Former management consultant, on a career break pursuing the entrepreneurial dream 📍 Appreciate you all being a part of the journey 👋 - Founder & CEO of We Are Mobilise, ACNC Nationally Registered Charity
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I conduct interdisciplinary research at the boundary between robotics, neuroscience and computer vision and am a multi-award winning educational entrepreneur. My research models the neural mechanisms in the brain underlying tasks like navigation and perception to develop new technologies in challenging application domains such as all-weather, anytime positioning for autonomous vehicles. I am also passionate about engaging and educating all sectors of society around new opportunities and impacts from technology including robotics, autonomous vehicles and artificial intelligence. I currently hold the positions of Australian Research Council Laureate Fellow, Joint Director of the QUT Centre for Robotics, QUT Professor, Microsoft Research Faculty Fellow and am a former Chief Investigator at the Australian Centre for Robotic Vision.
We use an advanced automated system to collect YouTube influencer profiles by regularly monitoring the YouTube database. Our system identifies the profiles of Australia-based YouTube influencers within the artificial intelligence niche by focusing on the following key metrics:
Relevance to artificial intelligence: Our system analyzes each influencer's username, bio, and posts to confirm that their content is related to the artificial intelligence niche.
Location Verification: Our system checks for the inclusion of city or country names in profiles, and where necessary, we analyze flags, localized posts and profile bio data to confirm the influencer's location in Australia.
Public Profiles Only: We exclude private profiles, even if they are Australia-based and publish artificial intelligence-related content. Our system only extracts the public profiles of influencers.
Sufficient Number of Posts: Our system picks the influencer accounts that have a consistent history of posts. It proves that the influencer is active and engaged in their content.
Minimum Follower Count: Our system prioritizes Australia-based artificial intelligence influencers with a minimum of 5,000 followers.
By analyzing these key statistics, our system automatically identifies the most relevant artificial intelligence influencers located in Australia, extracts the data, and adds it to our database. The information is then processed, verified, and classified to ensure accuracy and relevance.
Heepsy uses an Al-powered algorithm to identify the most relevant artificial intelligence YouTube influencers in Australia.
Identifying Influencer Location in Australia:
Profile Location Information: First, we check if the influencers profile explicitly mentions city or country. If the profile contains certain specific cities from Australia, or any other reference to Australia, we automatically mark the profile as Australia-based.
Bio and Content Analysis: If no explicit location is mentioned, our system scans the influencer's bio for any references to Australia, such as cultural symbols, language spoken within Australia, or location- specific hashtags that could indicate the influencer's connection to Australia.
Use of Flags and Emblems: In cases when the influencer doesn't mention a specific city or region, we look for flags in the bio that indicates Australia or any related symbols suggesting origin from Australia.
Localized Content: We analyze the influencer's content for any localized posts that show landmarks from Australia, events, or local cultural references. This can help us identify their location and target audience within Australia.
Identifying artificial intelligence relevance:
Identifying Key Terms: We begin by searching for specific artificial intelligence-related terms, such as 'artificial intelligence' or any other industry terms in an influencers profile (including their name, bio, and posts).
Expanding with Synonyms and Variations: Our algorithm recognizes related terms within the industry and other artificial intelligence specializations. We also account for variations, ensuring a comprehensive view of the influencer's expertise.
Multilingual Detection: To ensure a global reach, we use an Al-based multilingual sentence transformer to detect influencers in different languages, so we don't miss out on valuable artificial intelligence voices around the world.
Assigning Relevance Scores: Each influencer profile is assigned a score based on their relevance to the artificial intelligence category. The higher the score, the more aligned their profile with your campaign needs.
Prioritizing Top Influencers: In our recommendations we prioritize the influencers with the highest relevance scores. This helps us to ensure that the profiles suggested are the best fit for your marketing strategy.
During the location identification process, we assign a score to each YouTube influencer profile that reflects its relevance to artificial intelligence and Australia.
Then we use these scores to rank the profiles in our listings. Influencers with higher relevance scores in both categories - artificial intelligence and their connection to Australia - are ranked higher in the results.
As a result, when you search for artificial intelligence YouTube influencers in Australia in our database, the most relevant profiles appear first. This makes it easier for you to find the best match for your project.
We update our database monthly to ensure you have access to the most current and relevant artificial intelligence YouTube influencers in Australia. The profiles listed reflect the latest data as of April 2025.
Our automated system continuously monitors YouTube, tracking changes in follower count, engagement levels, and content activity from artificial intelligence influencers in Australia. This ensures that our database remains accurate and relevant and helps you find the best artificial intelligence YouTube influencers in Australia for your campaigns at any given time.