Not exact matches
BlackRock combines proprietary risk management technology, including extensive
analytics, with a
deep understanding of financial markets and investment processes, in order to examine and understand the risks involved when
making investment choices.
Enterprise shippers use
deep analytics from FourKites to
make immediate decisions that improve on - time delivery rates, strengthen end - customer relationships and optimize supply chain operations.
«The excellent reputation Martie has among researchers in this field and her
deep understanding of the intricacies of ovulation research
make her an ideal person to spearhead this ambitious meta -
analytic study,» said Jeffry Simpson, a psychology professor at the University of Minnesota.
The remainder of the article goes on to
make the case for Artificial Intelligence in eLearning via an interview with Jim Walker from Zoomi, an
analytics company that «uses proprietary Artificial Intelligence to analyze each learner's behavior, cognition, engagement, and performance to predict learning and future performance, optimize learning content and to create a
deep personalized individual and social learning experience».
Zoola
Analytics helps organizations
make sense of their learning data quickly and easily, by providing
deeper insight into the performance of learners, and learning programs — including how long learners are spending in courses, where learners are struggling or excelling, and how effectively they can apply what they've learned.
A way forward is the decision
analytic framework of robust decision
making under
deep uncertainty, which emphasizes scenario discovery and uncertainty analysis and identifying a broad range of robust decision strategies.
Hence a decision
analytic framework of «decision
making under
deep uncertainty» is a much better match to the climate problem, where understanding uncertainty and areas of ignorance is critical information for the decision
making process.
However, today's professionals can
make strategic decisions based on
deep data and predictive
analytics to improve conventional wisdom and correct cognitive errors in judgment.
Big data covering vastly more than just the IP itself, combined with predictive
analytics, enables companies to delve
deeper into information that powers business decision
making, using insight from data and trends from the past to forecast the future more accurately.