CIO Business Intelligence

SEPTEMBER 19, 2023

AI personalization utilizes data, customer engagement, deep learning, natural language processing, machine learning, and more to curate highly tailored experiences to end-users and customers. AI can also be integrated into products to better ensure their safety and the safety of the people who use them.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

CIO Business Intelligence

FEBRUARY 10, 2023

With predictive analytics, organizations can find and exploit patterns contained within data in order to detect risks and opportunities. Financial services: Develop credit risk models. Predict the impact of new policies, laws, and regulations on businesses and markets. Energy: Forecast long-term price and demand ratios.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

IBM Big Data Hub

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. They can also reduce the likelihood of human error, deliver more personalized customer messages and identify at-risk customers. What is AI marketing?

Marketing 82

Marketing Technology Advertising ROI 82

CIO Business Intelligence

MARCH 30, 2022

But that takes a deep understanding of the decision-making process, the risks and rewards of each decision, the acceptable margin of error, and the ability to figure how confident you should be in any decision offered by your automated decision processes. A certain amount of learning is always business as usual.

Machine Learning 144

Machine Learning Testing Risk Data-driven 144

Smart Data Collective

APRIL 25, 2022

AI systems can help with the overall management of your businesses online profiles in that they can: Reduce the risk of human error Help with managing time so your employees’ skills can be used elsewhere Improve the efficiency of your business through the use of business intelligence.

Management 135

Management Machine Learning Marketing Deep Learning 135

IBM Big Data Hub

AUGUST 28, 2023

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes.

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

IBM Big Data Hub

NOVEMBER 14, 2023

A value exchange system built on data products can drive business growth for your organization and gain competitive advantage. This growth could be internal cost effectiveness, stronger risk compliance, increasing the economic value of a partner ecosystem, or through new revenue streams.

Strategy 108

Strategy Cost-Benefit Data-driven Measurement 108