DataRobot

OCTOBER 19, 2021

DataRobot applied an innovative, hybrid modeling approach, which combines mechanist epidemiological modeling with the enhanced predictive power of AI to identify COVID-19 hotspots months in advance by optimizing parameters daily to match rapidly changing dynamics of viral spread. reporting backlogs).

Forecasting 98

Forecasting Predictive Modeling Optimization Testing 98

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. Comparing leading BI tools provides valuable insights into the diverse capabilities and features available for data analysis and reporting.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

IBM Big Data Hub

MAY 16, 2023

In a recent IBM Institute for Business Value report , 55% of respondents reported challenges coordinating effectively with different teams within marketing. These components come together to create end-to-end operations efficiency, experience optimization and data optimization.

Marketing 72

Marketing Management Optimization Cost-Benefit 72

CIO Business Intelligence

OCTOBER 4, 2022

In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” But the urgency and the upside of modernizing and optimizing the data architecture keeps coming into sharper focus. Data architecture coherence.

Machine Learning 114

Machine Learning Data Architecture Uncertainty Data-driven 114

Smarten

FEBRUARY 7, 2019

The Gartner report entitled, ‘Augmented Analytics Is the Future of Data and Analytics, published on October 31, 2018, includes the following strategic assumptions: By 2025, a scarcity of data scientists will no longer hinder the adoption of data science and machine learning in organizations. Ability to achieve mature modeling goals.

Optimization 40

Optimization Analytics Predictive Modeling Data-driven 40

IBM Big Data Hub

MAY 6, 2024

Industry analysts report that dropout rates in phase 3 clinical trials can sometimes reach 20% to 30%. Our analysis of the voluntarily reported Form FDA 1572 BMIS database reveals a potential lack of sustainability in the investigator pool, both in the United States (US) and globally (Exhibit 2).

Advertising 69

Advertising Data-driven Optimization Strategy 69

IBM Big Data Hub

JANUARY 25, 2024

The math demonstrates a powerful truth All predictive models, including AI, are more accurate when they incorporate diverse human intelligence and experience. Consider the diversity prediction theorem. Evaluating model accuracy goes hand-in-hand with evaluating bias. This is not an opinion; it has empirical validity.

Predictive Modeling 87

Predictive Modeling Modeling Risk Statistics 87

IBM Big Data Hub

MAY 17, 2024

According to a recent report from the IBM Institute for Business Value , half of CEOs are integrating generative AI into products and services. A report from the IBM Institute of Business Value found that there’s enormous room for improvement in the customer experience.

B2B 67

B2B Interactive Optimization Forecasting 67

Cloudera

JUNE 27, 2023

During the COVID-19 pandemic, telcos made unprecedented use of data and data-driven automation to optimize their network operations, improve customer support, and identify opportunities to expand into new markets. Customer complaints are costly! By correlating network performance with behavioral and hygiene data (e.g.

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

Smart Data Collective

MARCH 28, 2022

Businesses can use it to optimize their performance. It can be further classified as statistical and predictive modeling, but the two are closely associated with each other. Prescriptive data analytics: It is used to predict outcomes and necessary subsequent actions by combining the features of big data and AI.

Data Analytics 85

Data Analytics Software Analytics Statistics 85

DataKitchen

JUNE 19, 2023

Our recent survey showed that 97% of data engineers report experiencing burnout in their day-to-day jobs. The above image shows an example custom ‘data in use’ test of a predictive model and API. Perhaps we could just chill out in those stressful situations and “let go,” as the Buddha suggests.

Testing 130

Testing Cost-Benefit Metrics Data Quality 130

FineReport

APRIL 9, 2024

Optimized Operational Efficiency: These tools streamline processes and resource allocation, leading to cost savings and improved resource utilization. Through real-time data analysis and predictive insights, clinicians can tailor treatment approaches to individual patient requirements, fostering a personalized approach to care delivery.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Smarten

JUNE 10, 2022

Predictive Modeling to support business needs, forecast, and test theories. Cross-Tab Reporting. Intuitive Reporting. Your business needs web-based BI reports that are simple to use, practical to implement and affordable for every organization. Assisted Predictive Modeling. Business Intelligence.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Cloudera

AUGUST 4, 2021

I will talk more about Predictive Maintenance in the Public Sector and how government agencies are optimizing equipment maintenance with data insight during Cloudera’s Industry Event on August 5. Organizations need a secure, governed, scalable platform that can easily ingest, store, manage, and process streaming data—at a lower cost.

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

Cloudera

MAY 12, 2021

This category is open to organizations that have tackled transformative business use cases by connecting multiple parts of the data lifecycle to enrich, report, serve, and predict. . Use cases could include but are not limited to: workload analysis and replication, migrating or bursting to cloud, data warehouse optimization, and more.

Digital Transformation 65

Digital Transformation Machine Learning Optimization Data Lake 65

Smarten

DECEMBER 17, 2018

Tools like Assisted Predictive Modeling allow the average business user to become a Citizen Data Scientist with tools that offer guidance and auto-suggestions to help the user arrive at the outcome they need without being frustrated or having to call in an army of analysts and IT staff to help them complete their analysis.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Statistics 40

IBM Big Data Hub

OCTOBER 16, 2023

Foundation models can use language, vision and more to affect the real world. GPT-3, OpenAI’s language prediction model that can process and generate human-like text, is an example of a foundation model. Monitor, catalog and govern models from anywhere across your AI’s lifecycle.

Risk 73

Risk Modeling Management Metadata 73

Sisense

MARCH 7, 2021

Read on to find out how Measuremen optimizes workspace utilization, Skullcandy minimizes product returns, and Air Canada improves airline safety. Measuremen: Optimizing facilities use with data from numerous sources. Additional data sources increase your chances to inform actions, fueling top-line and bottom-line growth.

Slice and Dice 98

Slice and Dice Data-driven Cost-Benefit Forecasting 98

Smart Data Collective

AUGUST 7, 2019

They include everything from improving internal processes, optimizing security, and increasing efficiency. With the right log management tool, IT admins can easily access ready-made dashboards and generate reports which visualize essential events that lead to pre-emptive actions and sound decisions. Creating predictive models.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

datapine

AUGUST 14, 2019

Many users also report its power in constructed-in capabilities and libraries, data manipulation, and reporting. They might implement a MySQL report builder to relieve the IT department from carrying out SQL queries and, therefore, save enormous amounts of resources and create a cost-effective business environment.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

JULY 26, 2023

Its data specialists use Snowflake to craft the architecture and capture a range of data types, from MLS listings to financial transactions, as well as national housing reports and “exhaust data that spits off the consumer-facing website,” Ligon says. billion in 2022, resource industries $82.1 billion in 2022.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. Banks and other lenders can use ML classification algorithms and predictive models to suggest loan decisions.

Cost-Benefit 85

Cost-Benefit Insurance Unstructured Data Machine Learning 85

CIO Business Intelligence

APRIL 22, 2022

Examples include credit card fraud monitoring solutions used by banks, or tools used to optimize the placement of wind turbines in wind farms. Knime: Knime is an open source data analytics, reporting, and integration platform. Incrementally, presentations that communicate what the team is up to are also important deliverables.

Data Science 139

Data Science Statistics Machine Learning Visualization 139

Smarten

JANUARY 8, 2019

Assisted predictive modeling suggests techniques to analyze data that will result in the right outcome for the goals of the analysis. The enterprise can transform business users into Citizen Data Scientists and optimize the resources of the skilled data scientist with a renewed focus on strategic projects and data analysis.

Analytics 40

Analytics Predictive Modeling Visualization Business Analysis 40

Birst BI

AUGUST 23, 2018

For example, there are a plethora of software tools available to automatically develop predictive models from relational data, and according to Gartner, “By 2020, more than 40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.” [1] Source: Gartner (April 2018).

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Smarten

JANUARY 31, 2019

Today’s Advanced Analytics Tools allow business users to leverage features like self-serve data preparation, smart data visualization and assisted predictive modeling. Advanced Analytics is the logical tool to help a business optimize its investments and achieve its goals.

Business Intelligence 40

Business Intelligence Analytics Predictive Modeling Forecasting 40

Cloudera

DECEMBER 9, 2020

And in so doing, enrich the organization and secure, report, serve and predict on all the data they have access to. . Globe Telecom therefore set itself a goal to utilize its data to optimize investments, effectively bundle product offerings, and deliver contextual campaigns. Tailoring product offerings with data.

Predictive Modeling 69

Predictive Modeling Data Warehouse Enterprise Data Strategy 69

DataRobot Blog

JULY 28, 2022

Companies are emphasizing the accuracy of machine learning models while at the same time focusing on cost reduction, both of which are important. The Kalman filter is a method for efficiently estimating the invisible internal “state” in a mathematical model called a state-space model. Industry Analyst Report.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Smarten

JUNE 25, 2018

Sales team segments that are facing challenges based on any current discounting strategy can be identified and a deal negotiation strategy can be improved and optimized. Business Benefit: The business marketing team can focus on risky customer segments in an efficient way in order to avoid losing those customers.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Cloudera

FEBRUARY 16, 2022

By logging the performance of every combination of search parameters within an experiment, we can choose the optimal set of parameters when building a model. Each AMP consists of a working prototype for a ML use case together with a research report. Machine Learning Model Interpretability.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

AWS Big Data

MARCH 7, 2023

They should also provide optimal performance with low or no tuning. It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. Amazon SageMaker is the ML platform for all your data science workload needs.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73

Smarten

APRIL 19, 2024

Benefits include customized and optimized models, data, parameters and tuning. This approach does demand skills, data curation, and significant funding, but it will serve the market for third-party, specialized models. This technology can be a valuable tool to automate functions and to generate ideas.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

DataKitchen

SEPTEMBER 21, 2023

Bridging the Gap: How ‘Data in Place’ and ‘Data in Use’ Define Complete Data Observability In a world where 97% of data engineers report burnout and crisis mode seems to be the default setting for data teams, a Zen-like calm feels like an unattainable dream. What is Data in Use?

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Alation

APRIL 25, 2023

Predictive models indicate that the machine learning market will grow at a compound annual growth rate (CAGR) of 38.8% Check Point Research reports that global cyberattacks increased by 28% during the third quarter of 2022. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Smarten

NOVEMBER 19, 2018

If an organization wishes to be successful in the market and in its competitive efforts, it must accurately forecast and predict the future of its business, plan for new locations and products or services, and optimize internal operations.

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

Alation

APRIL 25, 2023

Predictive models indicate that the machine learning market will grow at a compound annual growth rate (CAGR) of 38.8% Check Point Research reports that global cyberattacks increased by 28% during the third quarter of 2022. Using bad data, or the incorrect data can generate devastating results. between 2022 and 2029.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40