Datavail

MARCH 3, 2022

Emerging business intelligence (BI) and analytics software offers unmatched opportunities to companies of all sizes to meet their current market demand and thrive into the post-COVID era. Data Science = Business Intelligence. The post Business Analytics: ML in Action appeared first on Datavail.

Business Analytics 52

Business Analytics Analytics Machine Learning Artificial Inteligence 52

Infinidat

MARCH 10, 2021

When paired with the accelerated compute so often deployed with AI/ML-driven workloads, traditional storage architectures are severely challenged to keep the processors fed with data and operating efficiently – let alone meeting response time requirements.

Business Intelligence 98

Business Intelligence Storage Infrastructure Artificial Inteligence 98

Sunflower Lab

APRIL 2, 2024

Predictive analytics can help CEOs in various ways, such as: Anticipating Market Trends: The study of historical data and market tendencies allows a CEO to make operations that would react to the changes in the market and change them further along.

Analytics 40

Analytics Machine Learning Artificial Inteligence Analysis 40

Existek

NOVEMBER 21, 2023

WHAT IS THE DIFFERENCE BETWEEN AI AND TRADITIONAL ANALYTICS Along with discussing the topic of AI in analytics, it might be helpful to draw a comparison with traditional analytics. The first thing to emphasize is that any analytics is about building the process to discover patterns in data for better decision-making.

Analytics 52

Analytics Industry Artificial Inteligence Artificial Intelligence 52

Altexsoft

SEPTEMBER 6, 2018

In the broadest sense, you can apply data science to gain insights about your business and improve your operational efficiency, or you may want to deliver AI-based applications to your end-customers. Customer-facing applications powered by machine learning algorithms solve your customers’ problems.

Company 63

Company Off-The-Shelf Data Software Review 63

Cloudera

FEBRUARY 24, 2021

Artificial intelligence and machine learning (AI/ML) will be central to risk modeling in 2021 and the future. Trend #3: Fighting Fraud with Data and Machine Learning. Fraud prevention is another area where the financial services industry will benefit from leveraging real-time data and machine learning.

Artificial Inteligence 61

Artificial Inteligence Trends Industry Artificial Intelligence 61

CIO

JUNE 8, 2023

The technology initiatives that are expected to drive the most IT investment in 2023 security/risk management, data/business analytics, cloud-migration, application/legacy systems modernization, machine learning/AI, and customer experience technologies.

Innovation 199

Innovation Technical Review Disaster Recovery Budget 199