Remove Deep Learning Remove Enterprise Remove Machine Learning
article thumbnail

Lessons learned while helping enterprises adopt machine learning

O'Reilly on Data

In this episode of the Data Show , I spoke with Francesca Lazzeri , an AI and machine learning scientist at Microsoft, and her colleague Jaya Mathew , a senior data scientist at Microsoft. I wanted to learn some of the processes and tools they use when they assist companies in beginning their machine learning journeys.

article thumbnail

Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Deep Learning in Banking: Colombian Peso Banknote Detection

Analytics Vidhya

Introduction Fake banknotes can easily become a problem for both small and large business enterprises. Thanks […] The post Deep Learning in Banking: Colombian Peso Banknote Detection appeared first on Analytics Vidhya. Being able to identify these banknotes when they are not genuine is very vital.

article thumbnail

Becoming a machine learning company means investing in foundational technologies

O'Reilly on Data

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies.

article thumbnail

Rapidminer Platform Supports Entire Data Science Lifecycle

David Menninger's Analyst Perspectives

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

article thumbnail

The key to operational AI: Modern data architecture

CIO Business Intelligence

From customer service chatbots to marketing teams analyzing call center data, the majority of enterprises—about 90% according to recent data —have begun exploring AI. Today, enterprises are leveraging various types of AI to achieve their goals. Learn more about how Cloudera can support your enterprise AI journey here.

article thumbnail

Core technologies and tools for AI, big data, and cloud computing

O'Reilly on Data

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 272