Cloudera

FEBRUARY 22, 2021

Providing a comprehensive set of diverse analytical frameworks for different use cases across the data lifecycle (data streaming, data engineering, data warehousing, operational database and machine learning) while at the same time seamlessly integrating data content via the Shared Data Experience (SDX), a layer that separates compute and storage.

Data 82

Data Analytics Government Technical Review 82

Cloudera

AUGUST 24, 2020

Next you need to understand your data , cataloging enterprise data into business and compliance terms. The most relevant use cases are those that use or integrate data, including publicly available data, and you combine that with your internal data. Thanks for reading this blog. Come back soon to read more.

Cloud 81

Cloud Data Government Innovation 81

Cloudera

MAY 18, 2021

Prior the introduction of CDP Public Cloud, many organizations that wanted to leverage CDH, HDP or any other on-prem Hadoop runtime in the public cloud had to deploy the platform in a lift-and-shift fashion, commonly known as “Hadoop-on-IaaS” or simply the IaaS model. data streaming, data engineering, data warehousing etc.),

Cloud 86

Cloud Technical Review Storage Backup 86

Coforge

AUGUST 20, 2019

With the above in context, here, I believe, are the three focus areas for building a successful and productive AI/ML foundation in any organisation: #1 Executive Sponsorship and Management Strategy: Adopting AI/ML in the enterprise would essentially mean weaving it into the fabric of the corporate culture.

Machine Learning 8

Machine Learning Artificial Inteligence Enterprise Software Review 8

Altexsoft

MARCH 30, 2023

But what do the gas and oil corporation, the computer software giant, the luxury fashion house, the top outdoor brand, and the multinational pharmaceutical enterprise have in common? The answer is simple: They use the same technology to make the most of data. How data engineering works in 14 minutes.

Weak Development Team 64

Weak Development Team Machine Learning Artificial Inteligence Software Review 64

Cloudera

AUGUST 20, 2021

The Cloudera Data Platform comprises a number of ‘data experiences’ each delivering a distinct analytical capability using one or more purposely-built Apache open source projects such as Apache Spark for Data Engineering and Apache HBase for Operational Database workloads. Introduction.

Strategy 98

Strategy Data Technical Review Weak Development Team 98

Altexsoft

JUNE 6, 2019

Experts from such companies as Lucidworks, Advantech, KAPUA, MindsDB, Fellow Robots, KaizenTek, Aware Corporation, XR Web, and fashion brands Hockerty and Sumissura joined the discussion. X-Mart visitors can choose from a wide range of items, including beauty products and fast-moving consumer goods, as well as fashion and apparel.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Newgen Software

JUNE 5, 2024

In today’s rapidly evolving business landscape, establishing robust GenAI and machine learning capabilities is of the utmost importance, especially for enterprises managing substantial data volumes. Enterprise-wide Collaboration Tereza collaborates with several stakeholders to build this solution.

Banking 52

Banking Machine Learning Artificial Inteligence Generative AI 52

Kentik

SEPTEMBER 24, 2015

I’ve spent most of my career in networking or network management, including stints at Packet Design, a routing and traffic analytics company, as well as CoSine Communications and Lucent Technologies (by way of Livingston Enterprises). Before Kentik, network visibility has been dominated by single or multi-tier appliance architectures.

Network 40

Network Cloud Big Data Policies 40

Cloudera

JULY 9, 2018

Most organizations struggle to unlock data science in the enterprise. To that end, Cloudera offers the Data Science Workbench, a collaborative, scalable, and highly extensible platform for data exploration, analysis, modeling, and visualization. Below we deconstruct three data science iron triangle dilemmas.

Machine Learning 42

Machine Learning Artificial Inteligence Data Analytics 42

OpenCredo

JULY 31, 2018

In it he suggests that although a typical Agile engineering team looks to the product owner for information regarding the business value they are producing, engineers would learn more about it by working directly with actors in the rest of the enterprise. In A Seat at the Table he develops this theme much further.

Artificial Inteligence 40

Artificial Inteligence Machine Learning Data Continuous Delivery 40

BPM

JANUARY 18, 2019

Successful organizations will differentiate themselves by ensuring the customer experience is not a fashion or an afterthought, but instead lies at the very heart of how they organize and run their business. Enterprises must consider where and when to apply RPA, to achieve the expected value returns. Steven Stanton FCB Partners [link].

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

O'Reilly Media - Ideas

JANUARY 25, 2022

While our customers include many individual developers, contractors, and hobbyist programmers, commercial (enterprise) software developers are very heavily represented—although there are certainly areas into which we’d like more visibility, such as the crucial Asia-Pacific software development community.

Trends 120

Trends Technical Review Technology Artificial Inteligence 120

O'Reilly Media - Ideas

MARCH 1, 2023

Data Data is another very broad category, encompassing everything from traditional business analytics to artificial intelligence. Data engineering was the dominant topic by far, growing 35% year over year. Data engineering deals with the problem of storing data at scale and delivering that data to applications.

Trends 144

Trends Technical Review Technology Software Review 144

O'Reilly Media - Ideas

JANUARY 25, 2021

Sometimes they’re only apparent if you look carefully at the data; sometimes it’s just a matter of keeping your ear to the ground. Trendy, fashionable things are often a flash in the pan, forgotten or regretted a year or two later (like Pet Rocks or Chia Pets ). In either case, there’s a difference between “trends” and “trendy.”

Programming 145

Programming Cloud Artificial Inteligence Machine Learning 145