Customers are the direct beneficiaries of the data, analytics, applications, and machine learning that’s produced. They can be actual product or service customers or internal customers, such as ...

When asked what technologies they plan to have in place by the end of 2021, almost half of respondents cited data integration. About one-third cited natural language processing (NLP) and business ...

Chief data and analytics officers also must raise overall data science and machine learning awareness, adoption and literacy by providing centralized education resources and showcasing existing ...

So what do analytics leaders—and their data-driven initiatives—need to succeed? Specifically, they need to be able to easily integrate more data sources, harness machine learning and advanced ...

The most common user of machine data analytics within an organization is the IT operations manager, while the most common use cases are IT operations management (81 percent), security (60 percent ...

Data preparation will help cut down on errors and time spent finding, cleansing, and transforming data; data democratization will help put analytics in the hands of all users within the enterprise.

In my data analytics and machine learning (ML) consulting engagements, I often come across use cases aimed at solving scientific problems using data, such as predicting the failure of a turbine or ...

Machine consciousness: Big data analytics and the Internet of Things Companies aim to squeeze more efficiency from operations by cloud-connecting everything.

Using NLP, test data generation, and optimized ... I then looked a step further and researched testing capabilities based on data, analytics, and machine learning that development teams and QA ...

Research shows that some 90% of organizational data does not get used for analytics and decision-making. ... Building a Smarter Government with Data, Analytics and Machine Learning in the Cloud ...

Machine learning is a powerful tool for the modern enterprise. It offers insights that extend far beyond business intelligence and data analytics. Written by eWEEK content and product ...