The Power of Holistic ML for Business Growth
With the recent advancements in machine learning (ML), organizations can use algorithms to positively influence every stage of the business growth cycle - from customer acquisition, to activation, retention and referral.
Driving Innovation in Ecommerce with AI: Best Practices and Trends
Retail and eCommerce companies are embracing AI and machine learning (ML) technologies in order to gain valuable insights, automate marketing, forecast demand and much more.
How Stitch Fix uses AI to predict what style a customer will love
The days of walking miles up and down shopping streets to find an appropriate dress are long gone. Online services like Stitch Fix leverage data and algorithms to help customers find the clothes they love. Combining AI with the experience of expert stylists they can predict the style of shoppers.
How to Use Data and AI to Measure ESG Performance
ESG (Environmental, Social and Governance) investing is a great umbrella term to describe responsible investing (RI), a way to evaluate companies beyond financial factors. In other words, ESG is a way of measuring the impact of companies on the environment and society, thereby facilitating ethical.
Five things you might not be considering about your MLOps needs
MLOps—short for “machine learning operations”—has become a buzzword in recent years, and for good reason. Algorithmia’s 2021 enterprise trends in machine learning report found that while organizations have dramatically increased their investments in machine learning (ML), the time required to.
Making Sure People Count with Big Data and Machine Learning
The US Constitution bases representation in Congress on an "actual enumeration" carried out at least once every ten years.
Highlights and Takeaways from DSSVirtual at VBTransform 2021
DSSVirtual at Venture Beat’s Transform 2021 took place virtually on July 12th and featured nine data science experts who shared their strategies to improve the current state-of-the-art and the future of machine learning and data science in the enterprise.
Time Series Forecasting in Retail
Businesses frequently face the challenge of anticipating the future as accurately as possible when making operational, tactical, and strategic decisions. They want to know if their sales and expenses will increase or decrease in the future, if their stocks will last for several months, and so on..
Being Agile While Developing AI Products
Agile methodologies are widely deployed into application development for a number of reasons. Establishing this methodology can increase the overall “throughput” of model lifecycle management by streamlining end-to-end tasks, facilitating the use of talent pools, reducing time spent on mundane data.
Adopting Machine Learning to Drive Revenue and Market Share
The adoption of machine learning to business processes has led to higher acceleration, growth, and adaptability than ever before. Building a successful machine learning capability, however, is dependent on a business's digital foundation from an organizational and technical perspective. Further,.
