datapine

NOVEMBER 27, 2019

This is one of the major trends chosen by Gartner in their 2020 Strategic Technology Trends report , combining AI with autonomous things and hyperautomation, and concentrating on the level of security in which AI risks of developing vulnerable points of attacks. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

MAY 17, 2019

These are just some of the examples of use cases that effectively illustrate how your business can benefit from predictive analytics in real-world scenarios. The benefits of advanced analytics and assisted predictive modeling are too numerous to provide a complete list here.

Predictive Analytics 65

Predictive Analytics Forecasting Analytics Predictive Modeling 65

CIO Business Intelligence

DECEMBER 13, 2022

Cullop also talks about DaVita’s strategies for AI and data analytics, as well as the importance of passion and culture as drivers of technology innovation. Tim Scannell: How much of a role do technologies like data analytics and AI play in DaVita’s overall technology and business strategy?

Strategy 97

Strategy Technology Digital Transformation Data Lake 97

Rocket-Powered Data Science

OCTOBER 6, 2023

In these applications, the data science involvement includes both the “learning” of the most significant patterns to alert on and the improvement of their models (logic) to minimize false positives and false negatives. Broken models are definitely disruptive to analytics applications and business operations.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

IBM Big Data Hub

MAY 17, 2024

But as businesses around the globe rapidly adopt the technology to augment processes from merchandising to order management, there is some risk. By using machine learning algorithms and big data analytics, AI can uncover patterns, correlations and trends that might escape human analysts.

B2B 67

B2B Interactive Optimization Forecasting 67

Cloudera

MAY 12, 2021

We welcome organizations that have built and deployed use cases for enterprise-scale machine learning and have industrialized AI to automate, secure, and optimize data-driven decision-making and/or applications to enter this category. Read more about last years Data Impact Award winners. HYBRID & MULTI-CLOUD INNOVATION.

Digital Transformation 68

Digital Transformation Machine Learning Optimization Data Lake 68

FineReport

APRIL 9, 2024

Healthcare data governance plays a pivotal role in ensuring the secure handling of patient data while complying with stringent regulations. The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

OCTOBER 13, 2023

In the next six to 12 months, some of the most popular anticipated uses for gen AI include content creation (42%), data analytics (53%), software development (41%), business insight (51%), internal customer support (45%), product development (40%), security (42%), and process automation (51%).

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Domino Data Lab

JULY 28, 2021

Data science is a field that uses math and statistics as part of a scientific process to develop an algorithm that can extract insights from data. All models are not made equal. At this stage, data scientists begin writing code for computation and model-building.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Cloudera

NOVEMBER 18, 2020

It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. With this functionality, business units can now leverage big data analytics to develop better and faster insights to help achieve better revenues, higher productivity, and decrease risk. .

Internet Publishing and Broadcasting 121

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 121

Cloudera

APRIL 13, 2021

Organizations from across the globe and virtually every industry have used CDP to generate new revenue streams, decrease operational costs, and mitigate risks. Disparate data silos made real-time streaming analytics, data science, and predictive modeling nearly impossible.

Enterprise 76

Enterprise Cost-Benefit Data Warehouse Data Architecture 76

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. What Is The Difference Between Business Intelligence And Business Analytics.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56

IBM Big Data Hub

FEBRUARY 14, 2024

Automotive With applications of AI, automotive manufacturers are able to more effectively predict and adjust production to respond to changes in supply and demand. They can streamline workflows to increase efficiency and reduce time-consuming tasks and the risk of error in production, support, procurement and other areas.

Cost-Benefit 85

Cost-Benefit Insurance Unstructured Data Machine Learning 85

Smarten

JANUARY 8, 2019

Augmented Analytics advantages support users by empowering them and encouraging user adoption with auto-recommendations and suggestions that help them visualize data in a way that makes sense for the type of data they are analyzing.

Analytics 40

Analytics Predictive Modeling Visualization Business Analysis 40

IBM Big Data Hub

OCTOBER 16, 2023

Marketers use ML for lead generation, data analytics, online searches and search engine optimization (SEO). ML algorithms and data science are how recommendation engines at sites like Amazon, Netflix and StitchFix make recommendations based on a user’s taste, browsing and shopping cart history.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

datapine

DECEMBER 4, 2019

Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. Applied to business, it is used to analyze current and historical data in order to better understand customers, products, and partners and to identify potential risks and opportunities for a company.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

BizAcuity

APRIL 25, 2022

Thanks to data analytics, these decisions can now be backed by data. Real-time decisions can be taken in line with data insights. Most casinos lack a proper analytical system to identify and segment customer profiles based on past behavior. Casino owners can also leverage similar approaches using data analytics.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

Alation

APRIL 14, 2022

Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth. And, as organizations progress and grow, “data drift” starts to impact data usage, models, and your business. Problems arise when data sources are semantically incompatible.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Decision Management Solutions

NOVEMBER 13, 2018

This framework has three elements: Begin with decisions, not with data. Begin with an agile analytic deployment platform, not with visualization. Begin with decisions, not with data. Analytic teams have historically been encouraged to “begin with the data.”

Insurance 40

Insurance Analytics Modeling Visualization 40

Jet Global

MAY 1, 2023

Positioning Embedded Analytics for Each Executive Here are some tips on understanding executives’ priorities and getting them on board with the project. Show how embedded analytics will enhance sales and marketing through better demos and shorter sales cycles. Present your business case.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Depict Data Studio

SEPTEMBER 17, 2019

David Napoli has worked with data for over 20 years as an analyst, actuary, statistician, research manager, and director. Emma Perk is the co-principal investigator for EvaluATE, the evaluation support center for the National Science Foundation’s Advanced Technological Education program and co-creator of Creating One-Page Reports.

Visualization 40

Visualization Consulting Dashboards Reporting 40

O'Reilly on Data

SEPTEMBER 11, 2019

2 in frequency in proposal topics; a related term, “models,” is No. Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics. This is noteworthy for several reasons: first, the top three terms in our data set relate in one way or another to ML.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20