Altexsoft

NOVEMBER 9, 2021

If you want to streamline your procurement and gain more visibility into this process, you have to get hold of available data, analyze it, and extract value to make informed decisions. What is procurement analytics and the opportunities it offers? Main components of procurement analytics. Procurement and its challenges.

Analytics 52

Analytics Software Review Systems Review Technical Review 52

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

O'Reilly Media - Ideas

JULY 28, 2020

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. For example, an AI product that helps a clothing manufacturer understand which materials to buy will become stale as fashions change.

Marketing 145

Marketing Weak Development Team Metrics UI/UX 145

Cloudera

AUGUST 20, 2021

A multi-purpose platform focused on diverse value propositions for data products. All these different experiences leverage the same underlying data, security and governance layer via the Control Plane and the Shared Data Experience that enable a high degree of integration and modularity between components.

Strategy 98

Strategy Data Technical Review Weak Development Team 98

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. Companies will start demanding that their investments in Predictive Analytics, Machine Learning and AI show a real ROI.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Cloudera

APRIL 22, 2021

Today’s enterprise data analytics teams are constantly looking to get the best out of their platforms. Storage plays one of the most important roles in the data platforms strategy, it provides the basis for all compute engines and applications to be built on top of it. Lower software licensing and support cost.

Data 101

Data Storage Architecture Big Data 101

Confluent

FEBRUARY 22, 2019

The Deliveroo Engineering organisation is in the process of decomposing a monolith application into a suite of microservices. Franz was conceived as a strongly typed, interoperable data stream for inter-service communication. Tom is a software engineer with a background in data.

Data 79

Data Software Review Weak Development Team Systems Review 79

Cloudera

AUGUST 24, 2020

Paul: Something that’s emerged in the past 6-12 months, that’s widely been coined now from both analysts and businesses, is the idea of something called an enterprise data cloud. I would reiterate that you’ve got to be really careful here, because this is such a huge part of your data and analytics strategy.

Cloud 81

Cloud Data Government Innovation 81

Cloudera

JULY 9, 2018

The three components of the data science iron triangle all have their challenges and strife. Only when organizations understand these challenges will they begin to harmonize and put them to work in a seamless fashion. Below we deconstruct three data science iron triangle dilemmas. How do I wrangle in my data science community?

Machine Learning 42

Machine Learning Artificial Inteligence Data Analytics 42

Netflix Tech

NOVEMBER 20, 2023

These challenges are currently addressed in suboptimal and less cost efficient ways by individual local teams to fulfill the needs, such as Lookback: This is a generic and simple approach that data engineers use to solve the data accuracy problem. Users configure the workflow to read the data in a window (e.g.

Windows 84

Windows Software Review Data Engineering 84

Altexsoft

SEPTEMBER 20, 2019

The data is visualized with a clear purpose: to show logical correlations between units, define inclinations, tendencies, and patterns. Depending on the type of logical connection and data itself, visualization can be done in a suitable format. But, its core usage remains in the field of analytics. How is data visualized in BI?

Business Intelligence 18

Business Intelligence Tools Data Analytics 18

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). I’m excited to be writing my first blog post as VP Marketing at Kentik.

Network 40

Network Cloud Big Data Policies 40

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 135

Trends Technical Review Technology Software Review 135

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

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. CDP helps clients reduce (or avoid entirely) costs for ancillary technology tools that are used in conjunction with competing analytical solutions.

Data 82

Data Analytics Government Technical Review 82