CIO

NOVEMBER 22, 2022

This is particularly important in the grocery industry where better demand forecasting through AI and machine learning creates less waste, allowing chains to improve their sustainability and make more money. Changing the Mindset and the Culture To truly transform a business, technology will take an enterprise only so far.

Retail 354

Retail Minimum Viable Product Architecture Machine Learning 354

O'Reilly Media - Ideas

FEBRUARY 11, 2019

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions. Deep Learning.

Big Data 88

Big Data Technology Tools Cloud 88

Apiumhub

AUGUST 12, 2021

Gema Parreño Piqueras – Lead Data Science @Apiumhub Gema Parreno is currently a Lead Data Scientist at Apiumhub, passionate about machine learning and video games, with three years of experience at BBVA and later at Google in ML Prototype. Twitter: [link] Linkedin: [link]. She started her own startup (Cubicus) in 2013.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

CIO

MARCH 9, 2022

As such, the lakehouse is emerging as the only data architecture that supports business intelligence (BI), SQL analytics, real-time data applications, data science, AI, and machine learning (ML) all in a single converged platform. As a result, much of the hoped-for data lake business outcomes haven’t materialized.

Artificial Inteligence 289

Artificial Inteligence Data Artificial Intelligence Analytics 289

Altexsoft

AUGUST 21, 2019

Using specific tools and practices, businesses implement these methods to generate valuable insights. One of the most common ways how enterprises leverage data is business intelligence (BI), a set of practices and technologies that allow for transforming raw data into actionable information. Data scientists.

Development 44

Development Software Engineering Data Engineering Architecture 44

Altexsoft

AUGUST 11, 2022

In addition, even if no unhealthy conditions are detected, advanced machine learning (ML) algorithms scrutinize through data to recognize patterns, identify potential faults, and generate actionable predictions. Data and business intelligence can help you discover improvement opportunities and make effective strategic decisions.

Technical Review 52

Technical Review Industry Technology IoT 52