Data warehouses and data lakes are both data repositories common in the enterprise, but what are the main differences between the two and which is best for your data?
The demand for data scientists continues to grow, but the job requires a combination of technical and soft skills. Here are 14 key skills for effective data scientists.
Amazon Monitron and Lookout for Equipment use sensor data to help industrial customers predict when their machines will break. Amazon's GM of machine learning and AI explains.
Firebolt, a new challenger to established cloud data storage vendors including Microsoft and Google, launched recently after securing $37 million in financing.
The data scientist position remains important for enterprises reliant on data and 2021 looks to be a rebound from a decline in postings due to the pandemic.
While ROI can be difficult to show with AI projects, it is crucial for AI teams to anticipate costs and prove each investment is worth the enterprise's time.
Conversational AI has steadily grown more advanced over the past several years. Nuance CTO Joe Petro explains why the vendor is refocusing on the technology.
Process automation and continuous intelligence are among the BI trends to watch in 2021 as organizations employ analytics to become more efficient and agile than ever before.
Data can drive everything from investment to redevelopment in the commercial real estate spaces, and analytics will continue to lead change in the industry.
Centralized cloud resources allow AI to continuously improve while edge AI allows for real-time decision-making and larger models. The best approach combines them.
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