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. Check out our list of top big data and data analytics certifications.)

Data Science 125

Data Science Machine Learning Predictive Modeling Experimentation 125

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

CIO Business Intelligence

MARCH 9, 2022

Applying artificial intelligence (AI) to data analytics for deeper, better insights and automation is a growing enterprise IT priority. But the data repository options that have been around for a while tend to fall short in their ability to serve as the foundation for big data analytics powered by AI.

Data Lake 102

Data Lake Unstructured Data Data Warehouse Data Quality 102

IBM Big Data Hub

NOVEMBER 14, 2023

Advanced data management software and generative AI can accelerate the creation of a platform capability for scalable delivery of enterprise ready data and AI products. Data-as-a-Service and data marketplaces are well established to create data value from initiatives built on data analytics, big data and business intelligence.

Strategy 107

Strategy Cost-Benefit Data-driven Measurement 107

CIO Business Intelligence

MAY 28, 2022

Other skills with fast-rising premiums included WebSphere MQ, Apache Ant, Azure Cosmos DB, DataRobot enterprise AI platform, Tibco BusinessWorks, RedHat OpenShift, Microsoft’s System Center Virtual Machine Manager and SharePoint Server, mobile operating systems, and a clutch of SAP technologies.

IT 119

IT Prescriptive Analytics Deep Learning Reporting 119

CIO Business Intelligence

MAY 26, 2022

Other skills with fast-rising premiums included WebSphere MQ, Apache Ant, Azure Cosmos DB, DataRobot enterprise AI platform, Tibco BusinessWorks, RedHat OpenShift, Microsoft’s System Center Virtual Machine Manager and SharePoint Server, mobile operating systems, and a clutch of SAP technologies.

IT 91

IT Prescriptive Analytics Deep Learning Reporting 91

CIO Business Intelligence

JANUARY 13, 2023

Software-based advanced analytics — including big data, machine learning, behavior analytics, deep learning and, eventually, artificial intelligence. Defenders have access to an enormous amount of data from networks, endpoints, and clouds. They are: Innovations in automation.

Software 132

Software Machine Learning Behavioral Analytics Risk 132

Cloudera

NOVEMBER 19, 2020

It enables public sector agencies to tap the power of big data and machine learning by managing volume, velocity, and variety of data, bringing unified governance, data integration, and open-source data management capabilities across all cloud and hybrid-cloud environments. Fraudulent Activity Detection.

Machine Learning 117

Machine Learning Data-driven Modeling Deep Learning 117

IBM Big Data Hub

SEPTEMBER 6, 2023

Here are some examples of ways enterprises are increasing their use of AI to help them achieve marketing goals. From maintaining the quality of the large data sets needed to train AI to complying with the field’s ever-expanding privacy laws, organizations that haven’t used AI before are understandably cautious.

Marketing 81

Marketing Technology Advertising ROI 81

datapine

NOVEMBER 19, 2019

In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

Jen Stirrup

MAY 5, 2020

It is more than just some giant USB stick in the sky that’s going to store all of the data. It has a lot of services that you can use, such as Big Data analytics. To get the best of technology such as Artificial Intelligence or Data Science, you really, really must have your data in the right format, and a good place.

Machine Learning 89

Machine Learning Data Science Data Lake Big Data 89

Smart Data Collective

OCTOBER 14, 2019

Regardless of if you’re a data science professional or an IT department who wants to help your company have more successful data science projects, it’s essential to have some data science tools under your belt to avail of when needed. In short, it makes big data analysis more accessible.

Data Science 67

Data Science Machine Learning Big Data Interactive 67

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. NoSQL database.

Visualization 91

Visualization Cost-Benefit Dashboards Software 91

Alation

APRIL 14, 2022

Moving data to the cloud can bring immense operational benefits. However, the sheer volume and complexity of today’s enterprise data can cause downstream headaches for data users. Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. Cloud governance.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Cloudera

SEPTEMBER 12, 2018

Enterprise Machine Learning: . AbbVie, one of the world’s largest global research and development pharmaceutical companies, established a big data platform to provide end-to-end operations visibility, agility, and responsiveness. John Myers , Managing Research Director, Enterprise Management Associates.

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

Domino Data Lab

APRIL 3, 2019

It includes perspectives about current issues, themes, vendors, and products for data governance. My interest in data governance (DG) began with the recent industry surveys by O’Reilly Media about enterprise adoption of “ABC” (AI, Big Data, Cloud). for DG adoption in the enterprise. Rinse, lather, repeat.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Domino Data Lab

JULY 22, 2019

If you were to go out 10 years ago and talk about the importance of machine learning in industry – and I was out there doing that – you’ll get a lot of pushback. But for most enterprise, using machine learning…not really. You know, companies like telecom and insurance, they don’t really need machine learning.”

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20