Smart Data Collective

JANUARY 14, 2022

One of the sectors most impacted by big data has been banking. Big data is even more important to the banking sector as more of their services become digitalized. The market for analytics technology in the banking sector is projected to be worth over $5.4 billion by 2026.

Banking 262

Banking Retail Digital Big Data 262

Bintelligence

MARCH 29, 2021

Philadelphia, PA--March 29, 2021--The Business Intelligence Group today announced the winners of its inaugural Artificial Intelligence Excellence Awards program. Congratulations to all the creativity and hard work of all every employee involved.”

Artificial Intelligence 116

Artificial Intelligence IBM Support Vision Banking 116

Marutitech

FEBRUARY 23, 2022

Predictive analytics models help prevent churn in your customer base by analyzing the dissatisfaction among your current customers and identifying customer segments at most risk for leaving. Key Industries : Banking, Telecommunications, Retail, Automotive, Insurance. 2. Customer Lifetime Value.

Predictive Analytics 92

Predictive Analytics Supply Chain Pharmaceutical Retail 92

Astera

MAY 6, 2024

Data mining tools help organizations solve problems, predict trends, mitigate risks, reduce costs, and discover new opportunities. These tools enhance financial stability and customer satisfaction. Customer Insights: Data mining tools enable users to analyze customer interactions, preferences, and feedback.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Whizlabs

APRIL 19, 2021

Currently she works at Microsoft and concentrates mainly on cloud computing, edge computing, distributed systems and architecture, and a little bit of machine learning and artificial intelligence. Marc has started his career as an in-house IT consultant for large investment banks in New York, London and Sydney.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145