Rocket-Powered Data Science

OCTOBER 6, 2023

Using the same statistical terminology, the conditional probability P(Y|X) (the probability of Y occurring, given the presence of precondition X) is an expression of predictive analytics. By exploring and analyzing the business data, analysts and data scientists can search for and uncover such predictive relationships.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Smart Data Collective

JUNE 26, 2019

Advanced Analytical Processes in Insurance. Big Data, when combined with new technology such as artificial intelligence and machine learning , can be used to help determine trends much quicker than if humans had to pore over all the data. Dealing with New Technology Appropriately. Insuring for the Twenty-First Century.

Insurance 94

Insurance Data Analytics Analytics IoT 94

AWS Big Data

MAY 16, 2024

As technology continues to evolve, one specific facet of this journey is reaching unprecedented proportions: geospatial data. The need to balance detail and context while maintaining real-time interactivity can lead to issues of scalability and rendering complexity. This often overwhelms traditional visualization tools and methods.

Data Warehouse 109

Data Warehouse Visualization Cost-Benefit Optimization 109

Smart Data Collective

APRIL 20, 2019

Without going further, during my last visit to Mobile World Congress, MWC 2016, The year of IoT and VR, I have distributed dozens of several of my current business cards while my collection has fattened by receiving near a hundred of new cards from old and new friends and colleagues, they write.”. Predictive analytics goes a step further.

Big Data 81

Big Data Marketing Predictive Analytics IoT 81

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Digital Transformation is not without Risk.

Analytics 109

Analytics Digital Transformation Forecasting Risk 109

Corinium

APRIL 25, 2019

And more recently, we have also seen innovation with IOT (Internet Of Things). Machine learning can keep up, by continually looking for trends and anomalies, or predictive analytics, that are interesting for the given use case. You can protect individual fields, or even subsets of fields (e.g. This stuff works.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. AI technology can autonomously drive cars, fly aircraft, create personalized conversations, and transform the customer and business experience into a real-time affair.

Data Strategy 113

Data Strategy Strategy Machine Learning Data-driven 113

Cloudera

JANUARY 14, 2021

This technology allows retailers to measure and respond in real-time to shopper behavior, measure geolocation, traffic, dwell times, and conversion metrics. Cloudera recognizes ten top retail IoT use cases that are transforming brick and mortar stores, as you can see below, and they are transforming all aspects of the retail experience.

Cost-Benefit 70

Cost-Benefit Digital Transformation Sales IoT 70

datapine

NOVEMBER 19, 2019

In this post, we’re going to give you the 10 IT & technology buzzwords you won’t be able to avoid in 2020 so that you can stay poised to take advantage of market opportunities and new conversations alike. Exclusive Bonus Content: Download our Top 10 Technology Buzzwords!

Technology 279

Technology Internet of Things IT IoT 279

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. In fact, there’s no escaping the increasing reliance on such technologies. The birth of IoT and connected devices is just one source, while the need for more reliable real-time data is another.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

Smart Data Collective

SEPTEMBER 26, 2019

Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. Moreover, developers themselves are using predictive analytics in their software development processes. This is over a 50% increase in just four years. A number of factors are driving growth in big data.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

Cloudera

SEPTEMBER 12, 2018

These awards recognize organizations that transform complex data into actionable insights and illustrate impact to technology, science, health, lifestyle, and community across a wide variety of industries. Voya Financial prevented millions of dollars of fraudulent transactions by deploying predictive analytic capabilities on Cloudera.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Cloudera

NOVEMBER 4, 2020

Here the insurance industry has a tremendous opportunity to leverage the data sourced from new technology to improve risk assessments and underwriting models – wearable tech such as fitness trackers and other smart devices, geo location, telematics. To provide the best price, the insurer needs to better understand their customer.

Insurance 114

Insurance Machine Learning Risk IoT 114

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. Over the past decade, business intelligence has been revolutionized.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361