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 data science? This post will dive deeper into the nuances of each field.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

CIO Business Intelligence

MARCH 9, 2022

Despite the worldwide chaos, UAE national airline Etihad has managed to generate productivity gains and cost savings from insights using data science. Etihad began its data science journey with the Cloudera Data Platform and moved its data to the cloud to set up a data lake. Reem Alaya Lebhar.

Data Science 87

Data Science Data Lake Cost-Benefit Digital Transformation 87

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. AI models can be designed to detect anomalies in real-time site performance data.

Optimization 55

Optimization Forecasting Data-driven Strategy 55

DataRobot Blog

JULY 28, 2022

Of course, finding a compromise is necessary to a certain degree, but rather than simply compromising, finding the optimal solution within that trade-off is the key to creating maximum business value. While there are many differences between Data Science Competitions and business, there are also similarities.

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Data Science Machine Learning Statistics Modeling 72

IBM Big Data Hub

DECEMBER 19, 2023

Anomalies are not inherently bad, but being aware of them, and having data to put them in context, is integral to understanding and protecting your business. The challenge for IT departments working in data science is making sense of expanding and ever-changing data points.

Machine Learning 64

Machine Learning Optimization Unstructured Data Sales 64

bridgei2i

SEPTEMBER 24, 2020

Predictive analysis helps in accurately forecasting future events so that enterprises can make better logistics and transportation decisions. While long-term forecasting can be done based on trends and experience, short-term predictions are quite tricky. That’s where supply chain data science is becoming famous.

Data Science 52

Data Science Cost-Benefit Forecasting Enterprise 52

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in Orlando with 4,000 of our closest D&A friends and family. We did two Bake-Offs this year. In 2000, the Netherlands had 8.5

Optimization 52

Optimization Machine Learning Insurance Risk 52

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. These data science teams are seeing tremendous results—millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage.

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Experimentation Forecasting Data-driven Machine Learning 145

DataRobot Blog

AUGUST 18, 2022

Challenges in inventory management, demand forecasting, price optimization, and more can result in missed opportunities and lost revenue. Retailers and manufacturers that incorporate AI in supply chain management greatly enhance their ability to forecast demand, manage inventory, and optimize price.

Manufacturing 98

Manufacturing Cost-Benefit Forecasting Data-driven 98

CIO Business Intelligence

MAY 21, 2024

“We were using LLMs for chat support for administrators and employees, but when you get into vector data, and large graphical structures with a couple of hundred million rows of inter-related data and you want to optimize towards a predictive model for the future, you can’t get anywhere with LLMs,” says MakeShift CTO Danny McGuinness.

IT 125

IT Cost-Benefit Experimentation Forecasting 125

Cloudera

JANUARY 30, 2024

As we navigate the fourth and fifth industrial revolution, AI technologies are catalyzing a paradigm shift in how products are designed, produced, and optimized. But with this data — along with some context about the business and process — manufacturers can leverage AI as a key building block to develop and enhance operations.

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Manufacturing Contextual Data IoT Digital Transformation 81

The Unofficial Google Data Science Blog

APRIL 17, 2017

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. So it should come as no surprise that Google has compiled and forecast time series for a long time.

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Forecasting Modeling Statistics Uncertainty 83

KDnuggets

AUGUST 5, 2022

In this article, we will go over the top five ways to collect or receive data, whether to help optimize an AI-driven machine or simply forecast future consumer demand.

Forecasting 108

Forecasting Data-driven Optimization Data Science 108

Smart Data Collective

JANUARY 27, 2021

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. Importance of machine learning in forecasting cryptocurrency prices. There are many reasons big data has affected cryptocurrencies. One option is to collect data from a website like CryptoCompare.

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Machine Learning Forecasting Predictive Analytics Marketing 139

CIO Business Intelligence

JUNE 14, 2023

Certification of Professional Achievement in Data Sciences The Certification of Professional Achievement in Data Sciences is a nondegree program intended to develop facility with foundational data science skills. How to prepare: No prior computer science or programming knowledge is necessary.

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Big Data Data Analytics Analytics Predictive Modeling 125

Cloudera

JANUARY 5, 2021

In today’s retail environment, retailers realize that building demand forecasts simply based upon historical transaction, promo, and pricing data alone is not good enough. Data today has a shelf life much like produce and needs to be updated in real-time to be relevant. Including new data sources like demand signals (e.g.

Forecasting 91

Forecasting Cost-Benefit Sales Unstructured Data 91

Cloudera

APRIL 9, 2021

The third video in the series highlighted Reporting and Data Visualization. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Cloudera’s Shared Data Experience (SDX) provides complete security and governance for models and the underlying data.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

DataRobot

JANUARY 25, 2022

Time series projects are among the most challenging in the world of data science today. While traditional modeling relies on classification, regression, and static data, the data for time series is far more fluid. Actionable AI – Forecasting is essential for business success. Applications. The result?

Forecasting 52

Forecasting Cost-Benefit Data-driven Data Science 52

CIO Business Intelligence

MAY 12, 2022

Most tools offer visual programming interfaces that enable users to drag and drop various icons optimized for data analysis. The goal of Alteryx’s Analytic Process Automation (APA) platform is to help you build a pipeline that cleans data before applying the best data science and machine learning algorithms.

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Predictive Analytics Analytics Statistics Machine Learning 137

CIO Business Intelligence

FEBRUARY 13, 2023

We run factories and help companies run them and optimize them” and AI is used to optimize everything from getting more throughput to better quality to preventative maintenance, productivity, and cost optimization, Nardecchia says. IDC is forecasting a 5.1% It’s all about uptime and input. in 2023, the firm says.

IT 145

IT Insurance Machine Learning Marketing 145

CIO Business Intelligence

NOVEMBER 14, 2022

With organizations increasingly focused on data-driven decision making, decision science (or decision intelligence) is on the rise, and decision scientists may be the key to unlocking the potential of decision science systems. Optimization analysis models. Forecasting models. Analytics, Data Science

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Data mining Data-driven Statistics OLAP 129

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

APRIL 25, 2022

“You can think that the general-purpose version of the Databricks Lakehouse as giving the organization 80% of what it needs to get to the productive use of its data to drive business insights and data science specific to the business. Partner solutions to boost functionality, adoption.

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Recreation/Entertainment Data Lake Data Warehouse Unstructured Data 111

Smart Data Collective

NOVEMBER 26, 2021

Data analytics helps with budget planning, forecasting, and unified attribution to improve the overall client experience. Data analytics is an indispensable tool in adopting marketing technology (MarTech) and digital transformation. When companies use data analytics, the processing of data is lightning fast.

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Marketing Data Analytics Key Performance Indicator Analytics 111

Data Science 101

OCTOBER 31, 2019

As taught in Data Science Dojo’s data science bootcamp , you will have improved prediction and forecasting with respect to your product. An in-depth analysis of trends can offer managers a much more reliable way to conduct planning and forecasts. Data Mining Process. Anomaly Detection.

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Data mining KDD Data Science Forecasting 77

Alation

MARCH 7, 2023

Nolan Steiner is a scuba diver, octopus lover, and data science team lead at Avista, an energy company involved in the production, transmission, and distribution of energy in eastern Washington, northern Idaho, and parts of Oregon. Below, Nolan shares how Avista uses Alation to transform data into value. That’s where I come in.

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Data-driven Forecasting Data Science Optimization 52

Domino Data Lab

MARCH 3, 2021

In some cases, data science does generate models directly to revenue, such as a contextual deal engine that targets people with offers that they can instantly redeem. How do we track value enabled through better decision support such as a data science model or a diagnostic visualization versus an experienced manager making decisions?

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Metrics Modeling Sales Data Science 93

Smart Data Collective

SEPTEMBER 16, 2020

These statistical models are growing as a result of the wide swaths of available current data as well as the advent of capable artificial intelligence and machine learning. Data Sourcing. This can cause certain business problems with both your data points as well as your data analytics, web analytics , and response variable.

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Predictive Analytics Analytics Predictive Modeling Data mining 122

Smart Data Collective

AUGUST 10, 2021

And the rate at which this is happening is only increasing – it is estimated that the amount of data accessible worldwide now is tripling per twelve months and that this will only continue to increase. Without a question, data analysis has shown to be helpful for the businesses that have used it.

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Data Analytics Analytics Big Data Key Performance Indicator 135

Sisense

JANUARY 22, 2021

Implicit among assumptions about machine learning is that algorithms will identify a pattern or outcome in time-series data, for example, which human beings could not do in practical time. Therefore, let’s see how ML models in asset management and optimal portfolio trading produce actionable insights.

Machine Learning 52

Machine Learning Unstructured Data Forecasting Advertising 52

erwin

JUNE 11, 2020

Data intelligence transforms the way industries operate by enabling businesses to hasten the process of analyzing and understanding the derived information with its more understandable models and aggregated trends. How Business Benefits from Data Intelligence.

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Key Performance Indicator KPI Data-driven Machine Learning 103

Smart Data Collective

APRIL 10, 2020

Machine learning is helping companies in every sector optimize their business models. Towards Data Science published a blog post discussing similar research on the topic. A few of them are listed below: Machine learning technology can help forecast demand for your products or services.

Machine Learning 111

Machine Learning Cost-Benefit Big Data Forecasting 111

DataRobot Blog

JUNE 1, 2022

Learn how the McLaren Formula 1 Team is delivering AI-powered predictions and insights to maximize performance and optimize simulations. Continuously advancing the power of AI, new DataRobot product details will inspire both expert data scientists and forward-looking business leaders. New DataRobot AI Cloud Product Announcements.

Machine Learning 119

Machine Learning Data-driven Risk Management Risk 119

Smarten

JANUARY 15, 2019

This seemingly complex term actually describes a technique that is designed to be suitable for business users with average technical skills and, with these tools, the average user can enter the age of advanced analytics and make educated, confident business decisions about forecasts and predicted results. Insight, perspective and analysis.

Predictive Modeling 40

Predictive Modeling Modeling Forecasting Predictive Analytics 40

Birst BI

AUGUST 23, 2018

Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. What if some of these data science tasks could be automated using AI, increasing data science productivity to tackle more AI use cases?

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

IBM Big Data Hub

FEBRUARY 13, 2024

Key considerations: Tech stack: Ensure your existing technology infrastructure can handle the demands of AI models and data processing. Teamwork: Assemble a team with expertise in AI, data science and your industry. Data: High-quality, relevant data is the fuel that powers generative AI success.

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DataRobot Blog

MARCH 10, 2022

As manufacturing plants start to inject autonomous machines into their day-to-day operations, there is a growing need to monitor these devices and forecast maintenance requirements before failure and downtime. Time-Series Forecasting?—? and recommend the best optimization metric to use.

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Manufacturing IoT Machine Learning Forecasting 52