Rocket-Powered Data Science

MARCH 10, 2020

The book Graph Algorithms: Practical Examples in Apache Spark and Neo4j is aimed at broadening our knowledge and capabilities around these types of graph analyses, including algorithms, concepts, and practical machine learning applications of the algorithms. Your team will become graph heroes.

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Metadata Machine Learning Prescriptive Analytics ROI 250

CIO Business Intelligence

JULY 5, 2022

BI focuses on descriptive analytics, data collection, data storage, knowledge management, and data analysis to evaluate past business data and better understand currently known information. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward. Business analytics techniques.

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Rocket-Powered Data Science

JULY 19, 2023

Accompanying the massive growth in sensor data (from ubiquitous IoT devices, including location-based and time-based streaming data), there have emerged some special analytics products that are growing in significance, especially in the context of innovation and insights discovery from on-prem enterprise data sources.

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Data-driven Enterprise Analytics Machine Learning 188

CIO Business Intelligence

OCTOBER 4, 2023

AI skills more valuable than certifications There were a couple of stand-outs among those. AI skills more valuable than certifications There were a couple of stand-outs among those.

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Prescriptive Analytics IT Machine Learning Deep Learning 135

CIO Business Intelligence

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. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

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Rocket-Powered Data Science

JULY 14, 2023

The criticality of these synergies becomes obvious when we recognize analytics as the products (the outputs and deliverables) of the data science and machine learning activities that are applied to enterprise data (the inputs).

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Analytics Internet of Things Data Science Prescriptive Analytics 166

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

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Machine Learning Data Science Statistics Deep Learning 54

Cloudera

JULY 18, 2018

It is fair to say that healthcare faces many challenges, including developing, deploying, and integrating machine learning and artificial intelligence (AI) into clinical workflow and care delivery. Together in tandem with MetiStream, a healthcare analytics software company, Cloudera addresses many of these challenges.

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Machine Learning Predictive Analytics Analytics Prescriptive Analytics 51

Cloudera

AUGUST 25, 2020

Thank you for joining us for part two of our discussion around data, analytics and machine learning within the Financial Service Sector Dr. Harmon. Machine Learning and AI provide powerful predictive engines that rely on historical data to fit the models. You can catch-up and read part 1 of the series, here.

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Smart Data Collective

OCTOBER 14, 2019

From artificial intelligence and machine learning to blockchains and data analytics, big data is everywhere. Machine Learning. Machine learning is a trending field and a hot topic right now. Let’s take a look at the skillsets developers need to have. Big Data Skillsets.

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Big Data Software Data mining Prescriptive Analytics 99

CIO Business Intelligence

NOVEMBER 14, 2022

Decision intelligence seeks to update and reinvent decision support systems with a sophisticated mix of tools including artificial intelligence (AI) and machine learning (ML) to help automate decision-making. Analytics, Data Science XLSTAT is an Excel data analysis add-on geared for corporate users and researchers.

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Data mining Data-driven Statistics OLAP 144

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

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Data Science Data Analytics Prescriptive Analytics Analytics 76

Smart Data Collective

NOVEMBER 24, 2020

Prescriptive Analytics. The current BI trends show that in the future, the BI software will be more accessible, so that even non-techie workers will rely on data insights in their working routine. This shows why self-service BI is on the rise. Using the information in making business predictions is not a new trend.

Business Intelligence 134

Business Intelligence Visualization Dashboards Prescriptive Analytics 134

CIO Business Intelligence

FEBRUARY 16, 2023

The next goal, with the aid of partner Findability Sciences, will be to build out ML and AI pipelines into an information delivery layer that can support predictive and prescriptive analytics. “As We have a learning curve at our end to build the right skill set within us.” The company’s Findability.ai

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Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

IBM Big Data Hub

JULY 27, 2022

Specifically, AIOps uses big data, analytics, and machine learning capabilities to do the following: Collect and aggregate the huge and ever-increasing volumes of operations data generated by multiple IT infrastructure components, applications and performance-monitoring tools. Predictive analytics to show what will happen next.

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Prescriptive Analytics Descriptive Analytics Data-driven Cost-Benefit 93

FineReport

JULY 28, 2021

Data science generally refers to all the knowledge, techniques, and methods used for data analysis, while data analytics is the manner of analyzing massive data. There are four primary types of data analytics: descriptive, diagnostic, predictive, and prescriptive analytics. . Insurance Dashboard (by FineReport).

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Business Intelligence Data Science Data Analytics Analytics 98

Domino Data Lab

JUNE 2, 2019

Secondly, I talked backstage with Michelle, who got into the field by working on machine learning projects, though recently she led data infrastructure supporting data science teams. Just doing machine learning is not enough, and sometimes not even necessary.”. First off, her slides are fantastic! Nick Elprin.

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Data Science Data-driven Machine Learning Modeling 110

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Service Cross-Selling and Upselling. Quality Control. Foundation to Operationalize Processes for Management and Monitoring.

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Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 69

Jedox

JULY 31, 2018

Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machine learning. Now, we will take a deeper look into AI, Machine learning and other trending technologies and the evolution of data analytics from descriptive to prescriptive.

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Technology Prescriptive Analytics Machine Learning Business Intelligence 44

Sisense

JUNE 30, 2020

When BI and analytics users want to see analytics results, and learn from them quickly, they rely on data visualizations. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive.

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Visualization Analytics Dashboards Data-driven 93

Cloudera

MARCH 2, 2018

The private sector already very successfully uses data analytics and machine learning not only to realise efficiency gains but also – even more importantly – to create completely new services and business models. Achieve best possible outcomes for individuals through the application of prescriptive analytics.

Data-driven 43

Data-driven Prescriptive Analytics Machine Learning Descriptive Analytics 43

Smarten

APRIL 10, 2023

Leverage Enterprise Investments for Predictive Analytics and Gain Numerous Advantages! Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Why the focus on predictive analytics? It’s simple!

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Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

BizAcuity

MARCH 31, 2022

Predictive analytics, with the help of machine learning, keeps getting more accurate with the continuous inflow of data. Revenue forecasting, exchange rates forecasting, churn prediction, fraud detection are a few places where predictive analytics comes very handy. AI Services.

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Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Smarten

SEPTEMBER 9, 2024

‘To fulfill the role of a Citizen Data Scientist, business users today can leverage augmented analytics solutions; that is analytics that provide simple recommendations and suggestions to help users easily choose visualization and predictive analytics techniques from within the analytical tool without the need for expert analytical skills.’

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Prescriptive Analytics Predictive Analytics Data-driven Business Intelligence 52

DataRobot Blog

MARCH 15, 2022

In addition, as more decisions are guided by machine learning, there’s the prerequisite to monitor, assess, and explain AI model performance against the constant of changing data (volumes fluctuate, casemix varies, clinical system configuration changes, and so on).

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AWS Big Data

MARCH 26, 2024

This can be achieved using AWS Entity Resolution , which enables using rules and machine learning (ML) techniques to match records and resolve identities. Plan on how you can enable your teams to use ML to move from descriptive to prescriptive analytics.

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Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

Smarten

APRIL 11, 2018

Gartner defines a Citizen Data Scientist as ‘a person who creates or generates models that leverage predictive or prescriptive analytics but whose primary job function is outside of the field of statistics and analytics.’ The Analytics Translator is an important member of the new analytical team.

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Analytics Prescriptive Analytics Business Intelligence ROI 40

Alation

MARCH 21, 2023

How is data analytics used in the travel industry? The travel and tourism industry can use predictive, descriptive, and prescriptive analytics to make data-driven decisions that ultimately enhance revenue, mitigate risk, and increase efficiencies.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

AUGUST 26, 2021

For this reason, data intelligence software has increasingly leveraged artificial intelligence and machine learning (AI and ML) to automate curation activities, which deliver trustworthy data to those who need it. Artificial Intelligence and Machine Learning (AI & ML) are forward-looking. Augmented Analytics.

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Metadata Data Governance Dashboards Software 64

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.

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Statistics Data mining Visualization Sales 52

Smarten

SEPTEMBER 9, 2024

Gartner defines a citizen data scientist as, ‘ a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.’ So, let’s get started. What is a Cititzen Data Scientist? Who is a Citizen Data Scientist?

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Consulting Cost-Benefit Data Science Business Intelligence 52

FineReport

APRIL 26, 2023

Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting. Prescriptive Analytics provides precise recommendations to respond to the query, “What should I do if ‘x’ occurs?”

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Big Data Data Analytics Analytics Cost-Benefit 52

DataRobot Blog

NOVEMBER 12, 2019

by Jen Underwood. Why didn’t I think of that? Sometimes we get caught up in our day-to-day lives and don’t stop to see if we are solving the right, bigger picture problems. Read More.

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Optimization Prescriptive Analytics Predictive Analytics Machine Learning 61

CIO Business Intelligence

APRIL 9, 2025

According to Gartner , lack of data management practices and rigor around governance can introduce risk and significantly impede data and analytics strategic readiness and ultimately AI readiness. The GenAI revolution in enterprise analytics In 2025, generative AI is profoundly reshaping the analytics landscape.

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Enterprise Analytics Experimentation Machine Learning 102

Andrew White

JANUARY 11, 2021

The data suggests several things: The work of traditional analytics and BI continues towards democratization in the business unit directly, we call this domain analytics in our research, part of domain D&A. Yes, prescriptive and predictive analytics remain very popular with clients. Thanks for the overview Andrew.

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Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Predictive Analytics: If x, then y (e.g., Prescriptive Analytics: Here’s what to do to achieve a desired outcome (e.g., Most companies that deploy BI and analytics lean to the left side of this model. Now explaining why things happened (e.g., West Coast sales have plummeted because of bad weather).

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Analytics Cost-Benefit Visualization Dashboards 52