CIO

SEPTEMBER 29, 2022

s SVP and chief data & analytics officer, has a crowâ??s s unique about the [chief data officer] role is it sits at the cross-section of data, technology, and analytics,â?? s unique about the role is it sits at the cross-section of data, technology, and analytics.

Machine Learning 336

Machine Learning Artificial Inteligence Travel Technical Review 336

CIO

APRIL 12, 2023

He had been trying to gather new data insights but was frustrated at how long it was taking. Real-time AI involves processing data for making decisions within a given time frame. A whole lot has to happen behind the scenes to succeed and get tangible business results. A unified data ecosystem enables this in real time.

Artificial Inteligence 363

Artificial Inteligence Artificial Intelligence Machine Learning Agile 363

CTOvision

JUNE 15, 2015

They also launched a plan to train over a million data scientists and data engineers on Spark. At the core of this commitment, IBM plans to embed Spark into its industry-leading Analytics and Commerce platforms, and to offer Spark as a service on IBM Cloud. IBM has been a decades long leader in open source innovation.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Cloudera

MAY 10, 2018

Click to tweet : Nominations are now open for the sixth annual Cloudera Data Impact Awards! With advancements in exploratory data science, machine learning, predictive analytics, AI, and data engineering, the world is increasingly driven by data. Grow your business. Technical Impact.

Data 41

Data Machine Learning Artificial Inteligence Data Engineering 41

Cloudera

FEBRUARY 19, 2018

Running a large company is impossible without having an ERP system in place, and SAP business software remains at the forefront in this category. But when companies are looking towards new technologies such as data lakes, machine learning or predictive analytics, SAP alone is just not enough.

Data 46

Data Government Big Data Compliance 46

BPM

JANUARY 18, 2019

The current Artificial Intelligence (AI) fascination is unfortunately completely biased on Deep Neural Networks (DNN) and Machine Learning (ML) for everything. Explainable AI is a must for automated business decisions. 2019 needs to be the year AI, ML and Analytics technologists stop SPENDING money and start MAKING some.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Machine Learning Weak Development Team 111

Cloudera

DECEMBER 18, 2017

A revolution where machines will be able to use data to automate decision making much more accurately than humans ever could. In my previous blog, “Three Ways to Change Your Approach to Data,” I wrote about how distributed platforms for analytics are enabling this revolution. ” Of course, he had a pithy response.

Data 40

Data Business Transformation Machine Learning Artificial Inteligence 40