Search results for "regulated investment company"

7 documents found out of 7092 total.

• Navigating AI Entrepreneurship: Insights From The Application Layer

  Through the lens of a serial entrepreneur, this article explores how the AI revolution is shifting from infrastructure to the application layer, where the greatest opportunities lie in solving specialized, data-heavy industry problems rather than perfecting raw technology.

  https://www.kdnuggets.com/navigating-ai-entrepreneurship-insights-from-the-application-layer

• A Comprehensive Guide to MLOps

  Machine Learning Operations (MLOps) is a relatively new discipline that provides the structure and support necessary for machine learning (ML) models to thrive in production environments.

  https://www.kdnuggets.com/2023/08/comprehensive-guide-mlops.html

• 10 Hurdles of Building a Deep Tech Startup in the Age of ChatGPT

  This article provides an overview of the unique challenges faced by deep tech startups, including technical complexity, regulatory hurdles, and financial risks.

  https://www.kdnuggets.com/2023/04/10-hurdles-building-deep-tech-startup-age-chatgpt.html

• Want to Join a Bank? Everything Data Scientists Need to Know About Working in Fintech

  There is ample opportunity for data scientists in the financial services sector. The career experience can be very different, however, from similar roles at pure technology organizations. So, it's best to first consider if this industry is right for your interests, preferences for how you work, and long-term goals.

  https://www.kdnuggets.com/2021/10/bank-data-scientists-working-fintech.html

• AI in Healthcare: A review of innovative startups

  The AI innovation in healthcare has been overwhelming with the Global Healthcare AI Market accounting for $0.95 billion in 2017, and is expected to reach $19.25 billion by 2026. What drives this vibrant growth?

  https://www.kdnuggets.com/2020/09/ai-healthcare-review-innovative-startups.html

• Data Science, Predictive Analytics Main Developments in 2016 and Key Trends for 2017">Data Science, Predictive Analytics Main Developments in 2016 and Key Trends for 2017

  Key themes included the polling failures in 2016 US Elections, Deep Learning, IoT, greater focus on value and ROI, and increasing adoption of predictive analytics by the "masses" of industry.
   
  

  https://www.kdnuggets.com/2016/12/data-science-predictive-analytics-main-developments-trends.html

• Thinking About Analytics Readiness

  This article touches upon an important but under-discussed topic of analytics readiness, including whether and when organizations should engage in analytics.

  https://www.kdnuggets.com/2016/06/thinking-domain-readiness.html