IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

Smart Data Collective

OCTOBER 16, 2023

This information, dubbed Big Data, has grown too large and complex for typical data processing methods. Companies want to use Big Data to improve customer service, increase profit, cut expenses, and upgrade existing processes. The influence of Big Data on business is enormous. Where does big data come from?

Big Data 101

Big Data IoT Cost-Benefit Advertising 101

Cloudera

JULY 27, 2021

Fitting Prophet models with complex seasonalities for electricity demand forecasting. These fleshed-out web applications are representative end products of data science work. Ines Montani of Explosion wrote How front-end development can improve data science in 2016, and, five years later, those words still ring true.

Data Science 113

Data Science Enterprise Experimentation Machine Learning 113

IBM Big Data Hub

JANUARY 9, 2024

Building confidence in safeguarding data Data is the lifeblood of modern businesses, but its movement must be safe and compliant. Building confidence in safeguarding data Data is the lifeblood of modern businesses, but its movement must be safe and compliant. The result?

Digital Transformation 71

Digital Transformation Business Driver Optimization Strategy 71

IBM Big Data Hub

FEBRUARY 20, 2024

Predictions range as high as 5 degrees Celsius or more by the end of the 21st century, according to the Climate Science Special Report from the U.S. The International Energy Agency predicts that a combination of renewable energy and nuclear power will meet more than 90% of increased demand by 2025. degrees Celsius (2.66 millimeters (0.1

Modeling 119

Modeling Forecasting Reporting Risk 119

Sisense

JANUARY 26, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. It requires a skilled data team, advanced tools, and enormous amounts of clean data from the right combination of inputs. The process of producing goods is an enormous opportunity for data optimization.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

BizAcuity

MAY 7, 2019

Businesses in every industry are facing increasing demand volatility. To cater to these fast-changing market dynamics, the practice of demand forecasting began. The Need For Demand Forecasting. The major challenge is to ensure that the forecast made basis this knowledge is accurate.

Forecasting 75

Forecasting IT Sales Statistics 75

Smarten

MAY 31, 2022

When combined with Citizen Data Scientist initiatives, the adoption and use of predictive modeling and forecasting techniques can be a boon to any enterprise. Provide the right predictive analytics tools to transition business users into Citizen Data Scientists and achieve the kind of results this type of initiative can deliver.’.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

IBM Big Data Hub

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

Cloudera

SEPTEMBER 18, 2020

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways.

Manufacturing 82

Manufacturing IoT Forecasting Machine Learning 82

IBM Big Data Hub

FEBRUARY 13, 2024

Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Enterprise 122

Enterprise Modeling Testing Data-driven 122

DataRobot Blog

OCTOBER 18, 2022

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. DataRobot Booth at Big Data & AI Toronto 2022. Monitoring and Managing AI Projects with Model Observability. Accelerating Value-Realization with Industry Specific Use Cases.

Big Data 96

Big Data Forecasting Experimentation Metrics 96

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 57

Machine Learning Data Science Statistics Deep Learning 57

Timo Elliott

JANUARY 4, 2021

I recently participated in a web seminar on the Art and Science of FP&A Storytelling, hosted by the founder and CEO of FP&A Research Larysa Melnychuk along with other guests Pasquale della Puca , part of the global finance team at Beckman Coulter and Angelica Ancira , Global Digital Planning Lead at PepsiCo. What typically goes wrong?

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

Jet Global

AUGUST 14, 2020

The growth in demand for corporate tax technologists, taxologists, or even taxnologists, has long been predicted. Other factors include the strategic need to integrate tax forecasts for different scenarios within financial plans. Education shows the way forward.

Data-driven 98

Data-driven Forecasting Reporting Technology 98

Smart Data Collective

APRIL 10, 2020

Fortunately, new big data technology can address all of them. Big data has made creating custom accounting software easier than ever. Towards Data Science published a blog post discussing similar research on the topic. Machine learning is helping companies in every sector optimize their business models.

Machine Learning 112

Machine Learning Cost-Benefit Big Data Forecasting 112

DataRobot

JUNE 29, 2021

Machine learning models trained on 2019 data didn’t know what to do. Imagine trying to forecast the demand for Clorox wipes back in January 2020 when all you have to go on is quantity sold in the last month or in the same period last year. Models learn from old data and make predictions. Good luck with that.

Machine Learning 80

Machine Learning Data Processing Forecasting Modeling 80

DataRobot Blog

MAY 23, 2022

Department of Transportation Data. Example of border transport data from USDOT. The database contains entry data from Mexico to the U.S. It includes pedestrian, bus, personal vehicle, rail container, train, and truck data. An example of the truck data is shown to the left. Canada and U.S.-Mexico

Forecasting 59

Forecasting Statistics Machine Learning Modeling 59

DataRobot Blog

JUNE 1, 2022

Showcasing the industry’s most innovative use of AI, this global event offers you the opportunity to learn from DataRobot data scientists—as well as AI pioneers from retailers like Shiseido Japan Co., DataRobot AIX has purpose-built content for business leads, data scientists, and IT leaders. Data Scientist-Driven Breakout Sessions.

Machine Learning 119

Machine Learning Risk Management Data-driven Risk 119

Cloudera

FEBRUARY 25, 2021

Today’s enterprise data science teams have one of the most challenging, yet most important roles to play in your business’s ML strategy. With almost all of the Fortune 500 and a majority of the Global 2000 relying on Cloudera for their most important data assets, Cloudera’s Machine Learning product (CML) is the way enterprises do ML.

Deep Learning 81

Deep Learning Machine Learning Forecasting Visualization 81

Cloudera

OCTOBER 27, 2020

Our goal is to take the incredible data science and machine learning research developments we see emerging from academia and large industrial labs, and bridge the gap to products and processes that are useful to practitioners working across industries. While point predictions limit us to asking “what is the demand forecast for Tuesday?”

Deep Learning 59

Deep Learning Machine Learning Forecasting Uncertainty 59

IBM Big Data Hub

JULY 19, 2023

Life sciences industry is beginning to take notice and aims to leapfrog the technological advances. Life sciences industry has—for decades now—moved from the traditional discovery-based drug development to target market-based drug development paradigm.

Consulting 62

Consulting Machine Learning Manufacturing Optimization 62

erwin

JUNE 11, 2020

What Is Data Intelligence? Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Data intelligence can encompass both internal and external business data and information. Healthcare.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

bridgei2i

JUNE 3, 2020

This introductory blog looks to offer a bird’s eye view of the impact of COVID-19 on the Consumer Goods industry and major trends that are emerging. Spending on provisions, packed eatables, hygiene products, and utilities is increasing, while eating out, travel, fancy clothes, and shoes have seen a fall in demand.

Manufacturing 52

Manufacturing Forecasting Uncertainty Digital Transformation 52

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.

Data-driven 52

Data-driven Forecasting Data Science Optimization 52

DataRobot Blog

NOVEMBER 15, 2022

Organizations are looking to deliver more business value from their AI investments, a hot topic at Big Data & AI World Asia. At the well-attended data science event, a DataRobot customer panel highlighted innovation with AI that challenges the status quo. Automate with Rapid Iteration to Get to Scale and Compliance.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52

AWS Big Data

MAY 4, 2023

Welcome to the era of data. The sheer volume of data captured daily continues to grow, calling for platforms and solutions to evolve. The Amazon Sustainability Data Initiative (ASDI) uses the capabilities of Amazon S3 to provide a no-cost solution for you to store and share climate science workloads across the globe.

Data Processing 92

Data Processing Metadata Informatics Interactive 92

Smart Data Collective

SEPTEMBER 23, 2020

The market for data warehouses is booming. One study forecasts that the market will be worth $23.8 Demand is growing at an annual pace of 29%. While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. Data Warehouse. billion by 2030.

Data Lake 105

Data Lake Data Warehouse Unstructured Data Big Data 105

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?—? Over the past two years our supply chain has been in the spotlight.

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

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.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Jedox

JULY 17, 2018

But it is more than just massive computing power, artificial intelligence with sophisticated algorithms, and tons of data that are propelling this megatrend forward. Just 20 years ago, these concepts were completely out of reach for most people outside of laboratory research or science fiction novels. We’ve come a long way since then.

Machine Learning 46

Machine Learning Technology Digital Transformation Predictive Analytics 46

DataRobot Blog

DECEMBER 7, 2019

This blog provides a unique take on using machine learning to predict free agent signings in the off-season. We compiled our predictions and analysis in the interactive graphic below, showing every player in this free agent class who had a sufficient track record of data to predict: Predicting Contract Terms.

Machine Learning 52

Machine Learning Forecasting Metrics Modeling 52

Rita Sallam

APRIL 2, 2023

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. The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms.

Optimization 52

Optimization Machine Learning Insurance Risk 52

bridgei2i

SEPTEMBER 1, 2020

Research from the customer data platform Amperity shows how purchases have changed during the COVID-19 times. While there is consensus on the rising preference for digital channels, consumer behavior and sentiment have affected the demand for consumer products differently. Purchases made on social media rose 84.7%

Sales 52

Sales Metrics Optimization Enterprise 52

Alation

NOVEMBER 28, 2022

Alation is excited to unveil Alation Connected Sheets , a new product that brings trusted, fresh data directly to spreadsheet users. Now, “spreadsheet jockeys” can pull the most current, compliant data directly from a range of cloud sources, without having to know SQL or depend on a data team to deliver it.

Descriptive Analytics 52

Descriptive Analytics Risk Sales Data-driven 52

AWS Big Data

MAY 4, 2023

In this post, we share how Encored runs data engineering pipelines for containerized ML applications on AWS and how they use AWS Lambda to achieve performance improvement, cost reduction, and operational efficiency. It allows for efficient data storage and transmission, as well as easy manipulation of the data using specialized software.

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

Rita Sallam

JULY 22, 2016

It is defined by a self-contained architecture that enables nontechnical users to autonomously execute full-spectrum analytic workflows from data access, ingestion and preparation to interactive analysis, and the collaborative sharing of insights. You can see it On Demand here. In BI we have had our seminal moments too.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40