CIO Business Intelligence

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Not finding what you’re looking for?

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

IBM Big Data Hub

AUGUST 28, 2023

As it pertains to social media data, text mining algorithms (and by extension, text analysis) allow businesses to extract, analyze and interpret linguistic data from comments, posts, customer reviews and other text on social media platforms and leverage those data sources to improve products, services and processes. How does text mining work?

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

CIO Business Intelligence

FEBRUARY 10, 2023

Such models enable the assessment of either the promise or risk presented by a particular set of conditions, guiding informed decision-making across various categories of supply chain and procurement events. With predictive analytics, organizations can find and exploit patterns contained within data in order to detect risks and opportunities.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

CIO Business Intelligence

APRIL 11, 2022

The amount of money lost to card-not-present fraud in 2020 was six times greater than what merchants lost in 2019, according to the Nilson Report. Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

Deep Learning 59

Deep Learning Strategy Risk Data Quality 59

FineReport

OCTOBER 21, 2019

With business intelligence(BI) tools play a more critical role in the enterprises, the technology is poised for an oversized effect in the coming year. BI software assists businesses with data display and analytics to help companies discover the situations, market challenges, as well as the chance. Con: Poor BI Capabilities .

Visualization 91

Visualization Cost-Benefit Dashboards Software 91

Domino Data Lab

APRIL 3, 2019

In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form. That presented an opportunity to learn, putting me in the same position as much of the audience. Plus it’s well-nigh time for “machine learning natives” to jump into the dialog about DG. Along with the rest of the world.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Cloudera

SEPTEMBER 12, 2018

The bank coordinates all interactions via its branch network and Australian-based contact centers and presents it back through digital channels, ATMs, email and direct mail. David Stodder , Senior Director, Research for Business Intelligence, TDWI. Manjeet Rege , Ph.D., Thomas, @ManjeetRege.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

datapine

NOVEMBER 19, 2019

While we’ve seen traces of this in 2019, it’s in 2020 that computer vision will make a significant mark in both the consumer and business world. At present, computer vision is helping to facilitate advanced face recognition, a practical application that will be used in a number of scenarios, from staff security to smart database access.

Technology 279

Technology Internet of Things IT IoT 279

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. Transcript.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CIO Business Intelligence

JANUARY 31, 2023

The opportunity All of this presents a tremendous opportunity for energy industry vendors that can help accelerate digital energy transformation, as well as CSPs that can provide the distributed connectivity needed. At the same time, IT providers will be required to deliver higher levels of security, safety and resilience.

Deep Learning 111

Deep Learning Cost-Benefit Data-driven Manufacturing 111

AWS Big Data

OCTOBER 26, 2023

Redshift Serverless price-performance In addition to the high-concurrency performance results presented in this post, we also used the TPC-DS-derived Cloud Data Warehouse benchmark to compare the price-performance of Redshift Serverless to other data warehouses using a larger 3TB dataset.

Data Warehouse 101

Data Warehouse Cost-Benefit Dashboards Optimization 101

O'Reilly on Data

MAY 21, 2019

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. A typical data pipeline for machine learning. Use ML to unlock new data types—e.g.,

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

CIO Business Intelligence

APRIL 27, 2022

On-demand access to deep learning services that allow engineering teams to exploit these new insights and embed them in data-driven outcomes will be critical to cross the data-first divide we see opening across organizations.

Strategy 143

Strategy Data-driven Internet of Things Measurement 143