Datavail

MARCH 31, 2022

Analytics as an Operational Tool. Despite their promise as a business building engine, and even with significant investments in the science, research reveals that over 85% of data implementation projects fail to achieve their goals. The post Achieving Business Analytics Success appeared first on Datavail.

Business Analytics 52

Business Analytics Analytics Artificial Inteligence Strategy 52

CIO

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics vs. business analytics.

Analytics 338

Analytics Data Analysis Business Analytics 338

TechCrunch

APRIL 6, 2022

based businesses said they accelerated their AI implementation over the past two years, while 20% said they’d boosted their usage of business analytics compared with the global average. Rather, it was the ability to scale the productivity of the people who work with data. A screenshot of Ascend.io’s platform.

Data 230

Data Technical Cofounder Weak Development Team Data Engineering 230

The Accidental Successful CIO

MAY 12, 2021

Understanding Business Intelligence vs. Business Analytics. Business intelligence tools provide insights into the current state of the business or organization: where are sales prospects in the pipeline today? It also gets to the heart of the question of who business intelligence is designed for.

Business Intelligence 90

Business Intelligence Business Analytics Analytics Off-The-Shelf 90

Cloudera

FEBRUARY 25, 2021

They need strong data exploration and visualization skills, as well as sufficient data engineering chops to fix the gaps they find in their initial study. CFFL has published almost two dozen research reports, each accompanied by detailed prototypes demonstrating the capabilities they report on.

Machine Learning 81

Machine Learning Artificial Inteligence Telecommunications Enterprise 81

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

Cloudera

MAY 27, 2021

“When developing ethical AI systems, the most important part is intent and diligence in evaluating models on an ongoing basis,” said Santiago Giraldo Anduaga, director of product marketing, data engineering and ML at Cloudera. This doesn’t exonerate technology companies from applying ethics to development.

Artificial Inteligence 114

Artificial Inteligence Artificial Intelligence Technical Review Systems Review 114