Domino Data Lab

MARCH 11, 2021

Machine learning (ML) frameworks are interfaces that allow data scientists and developers to build and deploy machine learning models faster and easier. Machine learning is used in almost every industry, notably finance , insurance , healthcare , and marketing. How to choose the right ML Framework.

Machine Learning 143

Machine Learning Deep Learning Insurance Modeling 143

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1-3) All those applications shown in the definition of Machine Learning. (4)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. Over overlooked advantage of big data is that it can help improve outsourcing strategies. Global companies spent over $92.5

Data-driven 104

Data-driven Cost-Benefit Data mining Big Data 104

Smart Data Collective

MARCH 29, 2021

Unfortunately, this is not implemented in most cases, which leaves you with massive data amounts that are not useful. Additionally, data collection becomes a costly process. IoT automates data collection, in addition to simplifying data mining. Machine learning has made automation much more feasible.

Big Data 137

Big Data Management Cost-Benefit Internet of Things 137

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Sisense

MARCH 14, 2021

As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data. To best understand how to do this, let’s dig into the challenges of big data and look at a wave of emerging issues. displaying BI insights for human users).

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

In(tegrate) the Clouds

OCTOBER 7, 2016

As the data visualization, big data, Hadoop, Spark and self-service hype gives way to IoT, AI and Machine Learning, I dug up an old parody post on the business intelligence market circa 2007-2009 when cloud analytics was just a disruptive idea. Ad hoc query, data mining, information I’m still not finding.

Business Intelligence 40

Business Intelligence OLAP Marketing Scorecard 40