Remove 2020 Remove Big Data Remove Optimization Remove Predictive Analytics
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Big Data: The Technology Behind Retailers Success

Smart Data Collective

Technologies became a crucial part of achieving success in the increasingly competitive market, including big data and analytics. Big data in retail help companies understand their customers better and provide them with more personalized offers. Big data is a not new concept, and it has been around for a while.

Big Data 124
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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade. New Avenues of Data Discovery.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

Research conducted by the Tufts Center for Study of Drug Development and presented in 2020 found that 23% of trials fail to achieve planned recruitment timelines 1 ; four years later, many of IBM’s clients still share the same struggle. AI models can be designed to detect anomalies in real-time site performance data.

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Minimizing Supply Chain Disruptions with Advanced Analytics

Cloudera

January 2020 is a distant memory, but for most, the early days of the pandemic was a time that will be ingrained in memories for decades, if not generations. Consider that e-commerce’s acceleration due to the pandemic saw retailers’ digital sales penetration realize 10 years of growth in just the first three months of 2020 alone. .

Analytics 111
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How to Leverage Machine Learning for AML Compliance

BizAcuity

1] With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise.

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How to Leverage Machine Learning for AML Compliance

BizAcuity

With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. Exploratory Data Analysis (EDA). Predictive Analytics. Predictive modeling for flagging suspicious activity.

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IBM Emphasizes The Benefits Of Data Analytics For Renewable Energy

Smart Data Collective

Big data is playing a surprisingly important role in the evolution of renewable energy. IBM recently published a fascinating paper on the applications of big data for solar and other green energy sources. Other researchers around the world are also talking about the role of data analytics in this dynamic, growing field.