Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. The work of a machine learning model developer is highly complex. AMPs are a revolutionary way to accelerate your ML initiatives.

Artificial Inteligence 84

Artificial Inteligence Machine Learning Enterprise Telecommunications 84

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 67

Course Training Artificial Inteligence Software Review 67

Datavail

JUNE 8, 2023

Attendees were able to explore solutions and strategies to help them unlock the power of their data and turn it into actionable insights. The event tackles topics on artificial intelligence, machine learning, data science, data management, predictive analytics, and business analytics.

Database Administration 52

Database Administration Data Artificial Inteligence Analytics 52

Cloudera

OCTOBER 4, 2023

And all of this should ideally be delivered in an easy to deploy and administer data platform available to work in any cloud. This is especially necessary when combining real-time data with prepared data, and adding predictive concepts into our augmented dashboards and reports.

Analytics 89

Analytics Machine Learning Artificial Inteligence Telecommunications 89

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Machine Learning Workspace exists . A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. The Data Scientist.

Data 97

Data Virtualization Banking Data Engineering 97

Altexsoft

JANUARY 26, 2022

In recent years, it’s getting more common to see organizations looking for a mysterious analytics engineer. As you may guess from the name, this role sits somewhere in the middle of a data analyst and data engineer, but it’s really neither one nor the other. Here’s the video explaining how data engineers work.

Analytics 59

Analytics Engineering Data Engineering Software Engineering 59

Cloudera

FEBRUARY 22, 2021

This category describes the unique ability of CDP to accelerate deployment of use cases (and, as a result, the associated business value) by: . without integration delays or having to deal with fragmented data silos that result in operational inefficiencies. .

Data 82

Data Analytics Government Technical Review 82

Altexsoft

FEBRUARY 8, 2021

To support the planning process, predictive analytics and machine learning (ML) techniques can be implemented. We have previously described demand forecasting methods and the role of machine learning solutions in a dedicated article. Today, consumers’ preferences are changing momentarily and often chaotically.

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

CIO

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

ChatGPT 78

ChatGPT Government Artificial Inteligence Business Intelligence 78

Altexsoft

JANUARY 14, 2021

What specialists and their expertise level are required to handle a data warehouse? However, all of the warehouse products available require some technical expertise to run, including data engineering and, in some cases, DevOps. Is it a flat-rate or on-demand model? Snowflake is also a good choice for data streaming.

Backup 115

Backup Azure Software Review Architecture 115

Apiumhub

APRIL 1, 2021

Learning data science through books will help you get a holistic view of Data Science as data science is not just about computing, it also includes mathematics, probability, statistics, programming, machine learning, and much more. Top Data science books you should definitely read.

Artificial Inteligence 52

Artificial Inteligence Data Machine Learning Handbook 52

Cloudera

NOVEMBER 2, 2020

These include stream processing/analytics, batch processing, tiered storage (i.e. for active archive or joining live data with historical data), or machine learning. Architecture for Real-Time Data Warehousing with Extended Capabilities. Data Hub – . Data Hub – .

Data 97

Data Analytics Storage Big Data 97

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

O'Reilly Media - Ideas

JANUARY 14, 2025

This year, one thread that we see across all of our platform is the importance of artificial intelligence. Artificial Intelligence It will surprise absolutely nobody that AI was the most active category in the past year. For the past two years, large models have dominated the news. Is that noise or signal?

Trends 132

Trends Technology Security Artificial Inteligence 132

O'Reilly Media - Ideas

MARCH 1, 2023

Content about software development was the most widely used (31% of all usage in 2022), which includes software architecture and programming languages. Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence.

Trends 144

Trends Technical Review Technology Software Review 144

O'Reilly Media - Ideas

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

Conference 10

Conference Data Data Engineering Big Data 10

AWS Machine Learning - AI

APRIL 2, 2025

The goal of this blog post is to show you how a large language model (LLM) can be used to perform tasks that require multi-step dynamic reasoning and execution. These function signatures act as tools that the LLM can use to formulate a plan to answer a users query.

Artificial Inteligence 108

Artificial Inteligence Machine Learning Analytics AWS 108

CIO

APRIL 8, 2025

Data stewardship drives ownership and embeds trust locally. Create cross-functional data councils. Bring together IT, business, analytics and compliance leaders to guide priorities, resolve disputes and make shared decisions about quality, access and usage. Robust governance ensures consistency without slowing teams down.

Weak Development Team 153

Weak Development Team Technical Review Technical Advisors Systems Review 153

Xebia

JANUARY 24, 2025

Databricks is a powerful Data + AI platform that enables companies to efficiently build data pipelines, perform large-scale analytics, and deploy machine learning models. However , managing costs can be challenging, a reality that applies to any cloud-based or on-premise service.

Storage 130

Storage Travel Azure Cloud 130