CIO Business Intelligence

MAY 24, 2022

Data has always been fundamental to business, but as organisations continue to move to Cloud based environments coupled with advances in technology like streaming and real-time analytics, building a data driven business is one of the keys to success. There are many attributes a data-driven organisation possesses.

Data-driven 89

Data-driven Data Lake Data Warehouse Cost-Benefit 89

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. Data scientists are in demand: the U.S. Explore these 10 popular blogs that help data scientists drive better data decisions.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

BizAcuity

MAY 7, 2019

To cater to these fast-changing market dynamics, the practice of demand forecasting began. Today, several businesses, especially those belonging to the FMCG sector, have sophisticated demand forecasting models in place, which help them stay ahead of the market. The Need For Demand Forecasting.

Forecasting 75

Forecasting IT Sales Statistics 75

Rocket-Powered Data Science

JULY 13, 2023

Data is more than just another digital asset of the modern enterprise. So, what happens when the data flows are not quarterly, or monthly, or even daily, but streaming in real-time? So, what happens when the data flows are not quarterly, or monthly, or even daily, but streaming in real-time? It is an essential asset.

Analytics 166

Analytics Machine Learning Data Science Deep Learning 166

Rocket-Powered Data Science

MARCH 19, 2021

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. A lot has changed in those five years, and so has the data landscape. But if they wait another three years, they will never catch up.”

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

O'Reilly on Data

MARCH 27, 2019

Watch highlights from expert talks covering AI, machine learning, data analytics, and more. People from across the data world are coming together in San Francisco for the Strata Data Conference. The journey to the data-driven enterprise from the edge to AI. Data warehousing is not a use case.

Uncertainty 207

Uncertainty Forecasting Data-driven Machine Learning 207

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Another way of saying this is: given observed data X, we can predict some outcome Y. Or more simply: given X, find Y.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Data-driven DSS.

Data mining 137

Data mining Data-driven Statistics OLAP 137

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

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. Application of AI in Supply Chain.

Manufacturing 98

Manufacturing Cost-Benefit Forecasting Data-driven 98

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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

CIO Business Intelligence

JANUARY 25, 2024

Subbaiah believes those who excel in four core abilities will thrive in the digitally driven enterprise. Understand data The people driving innovation in any organization have to be passionate about data and its possibilities. “We Every day, knowledge workers are teaming up in new ways with intelligent machines.

Deep Learning 108

Deep Learning Cost-Benefit Statistics Manufacturing 108

CIO Business Intelligence

JUNE 29, 2022

While in 2021, the global market for corporate predictive analytics was worth $10 billion, it is forecast to balloon to $28 billion by 2026. Many lack the necessary quality of data, or the financial resources and internal talent to speedily turn that data into reliable, relevant insights.

Predictive Analytics 136

Predictive Analytics Analytics Data-driven Forecasting 136

Cloudera

JANUARY 30, 2024

With the ability of manufacturers to store a huge volume of historical data, AI can be applied in general business areas of any industry, like developing recommendations for marketing, supply chain optimization, and new product development. With AI, it can even prescribe the appropriate action that needs to be taken and when.

Manufacturing 79

Manufacturing Contextual Data IoT Digital Transformation 79

datapine

MARCH 31, 2022

Does data excite, inspire, or even amaze you? Do you find computer science and its applications within the business world more than interesting? This all-encompassing branch of online data analysis is a particularly interesting field because its roots are firmly planted in two separate areas: business strategy and computer science.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

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. But for organizations striving to become AI-driven, understanding how to approach those projects is essential. While traditional modeling relies on classification, regression, and static data, the data for time series is far more fluid.

Forecasting 52

Forecasting Cost-Benefit Data-driven Data Science 52

Smarten

APRIL 10, 2023

Investment in predictive analytics benefits everyone in the organization, including business users and team members, data scientists and the organization in general. Predictive analytics provides support for data-driven, fact-based decisions and enables insight, perspective and clarity for improved business agility and efficiency.

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Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 127

Big Data Data Analytics Analytics Predictive Modeling 127

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. Visual IDE for data pipelines; RPA for rote tasks. Highlights.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

IBM Big Data Hub

NOVEMBER 29, 2023

With over 200 trains and a multitude of sensors, Downer has accumulated a vast amount of data. Fine-tuning data insights with enhanced collaboration and expertise Downer continuously works to enhance operational efficiency, minimizing maintenance costs and impacts to transportation schedules.

Predictive Modeling 69

Predictive Modeling Data-driven Data Science Forecasting 69

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years. There may be times when department-specific data needs and tools are required.

IT 135

IT Risk Cost-Benefit Risk Management 135

AWS Big Data

JUNE 20, 2023

Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon Simple Storage Service (Amazon S3) and data sources residing in AWS, on-premises, or other cloud systems using SQL or Python. Solution overview Data scientists are generally accustomed to working with large datasets.

Data Lake 70

Data Lake Data Science Recreation/Entertainment Experimentation 70

DataRobot

MARCH 8, 2021

The COVID-19 pandemic accelerated the need for enterprise AI , and organizations that embraced this change found an edge in a fierce, data-driven marketplace. Join us May 11-13, 2021 when we will bring together business leaders and data scientists to share insights on building an agile, AI-driven enterprise.

Deep Learning 52

Deep Learning Forecasting Data-driven Visualization 52

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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

TDAN

APRIL 19, 2022

Data driven organizations are innovating faster than ever.

Management 59

Management Enterprise Forecasting Data-driven 59

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 103

Big Data IoT Cost-Benefit Advertising 103

Smart Data Collective

JULY 23, 2021

For one, the job market has become increasingly candidate-driven. The good thing is that you can overcome these recruitment hurdles by using big data and analytics. You can check out this website to know how data and performance metrics can improve real estate recruiting.). It Creates a Bigger Candidate Pool.

Big Data 108

Big Data Data-driven Metrics Advertising 108

Domino Data Lab

JUNE 2, 2019

Co-chair Paco Nathan provides highlights of Rev 2 , a data science leaders summit. We held Rev 2 May 23-24 in NYC, as the place where “data science leaders and their teams come to learn from each other.” Nick Elprin, CEO and co-founder of Domino Data Lab. Introduction. Leadership. In many, many ways.

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Data-driven Data Science Machine Learning Modeling 110

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 can also empower trial managers and executives with the data to make strategic decisions. To do so they require data, which is in no shortage.

Optimization 58

Optimization Forecasting Data-driven Strategy 58

CIO Business Intelligence

FEBRUARY 13, 2023

This includes spending on strengthening cybersecurity (35%), improving customer service (32%) and improving data analytics for real-time business intelligence and customer insight (30%). CIOs anticipate an increased focus on cybersecurity (70%), data analysis (55%), data privacy (55%), AI/machine learning (55%), and customer experience (53%).

IT 145

IT Insurance Machine Learning Marketing 145

Smart Data Collective

MARCH 5, 2022

Are you a data scientist ? Even if you already have a full-time job in data science, you will be able to leverage your expertise as a big data expert to make extra money on the side. Ways that Data-Savvy People Can Make Money with Side Hustles This Year. It uses complex data analytics features.

Data mining 135

Data mining Big Data Data-driven Data Science 135

Domino Data Lab

AUGUST 9, 2021

For a model-driven enterprise, having access to the appropriate tools can mean the difference between operating at a loss with a string of late projects lingering ahead of you or exceeding productivity and profitability forecasts. In general terms, a model is a series of algorithms that can solve problems when given appropriate data.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

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