Top AI Influencers to Follow in 2024
Data Science Central
Book and Periodical Publishing
Issaquah, WA 274,403 followers
Industry's leading online resource and community for data practitioners, covering Machine Learning, AI, Data Science.
About us
Data Science Central LLC (www.datasciencecentral.com) is a niche digital publishing and media company operating the leading and fast growing Internet community for data science, machine learning, deep learning, big data, predictive and business analytics practitioners.
- Website
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http://www.datasciencecentral.com
External link for Data Science Central
- Industry
- Book and Periodical Publishing
- Company size
- 2-10 employees
- Headquarters
- Issaquah, WA
- Type
- Privately Held
- Founded
- 2012
- Specialties
- Data Science, Business Analytics, Machine Learning, and Predictive Analytics
Locations
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Primary
Get directions
2428 35th Avenue NE
Issaquah, WA 98029, US
Employees at Data Science Central
Updates
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How to Launch an AI Startup in 2025 https://lnkd.in/gva4E-3A You have plenty of experience. Maybe you are over 40, or fresh out of college, and you realize that there is no tech job out there. More precisely, 1000 applicants for any job opening. And even if you land a job, the risk of layoff within a year is high. It is to the point that launching a startup may seem safer and less stressful. But how to start? What are the challenges? How to maximize the chance of success? In this article, I share my experience launching an AI startup, including fundraising. My perspective is that of a founder in US, with co-founder outside US. Also, not my first startup: I sold the previous one in 2020 and was VC-funded in 2008. I also succeeded on the real estate market. Content: ➡️ Before you start ➡️ Build trust and credibility ➡️ Hire a CEO, sales executive, and team members ➡️ Minimizing costs, unusual revenue streams ➡️ Connections, connections, connections ➡️ Raising money ➡️ Conclusions Read the full article at https://lnkd.in/gva4E-3A
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AI is starting to take action instead of just analyzing. Across industries, decisions are shifting from humans to autonomous systems. But even with clean data and accurate models, outcomes still fall short. This week, we look at why strong data can still lead to weak decisions, how SMBs are adopting AI-driven forecasting and what ethical oversight means in high-stakes environments.