IBM Big Data Hub

FEBRUARY 14, 2024

Technical AI use cases Speed operations with AIOps There are many benefits to using artificial intelligence for IT operations (AIOps). More benefits from AI include building a more sustainable IT system and improving the continuous integration/continuous (CI/CD) delivery pipelines.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

Smart Data Collective

SEPTEMBER 30, 2021

Overall, droughts have cost the world $1.5 2 Through artificial intelligence-based prediction, there can be improvement in decision making regarding droughts and better methods and timing employed to ensure optimal water resource allocation and disseminating information ahead of drought events.

Machine Learning 120

Machine Learning Cost-Benefit Optimization Forecasting 120

IBM Big Data Hub

JUNE 29, 2023

When a critical asset like an expensive piece of machinery or infrastructure breaks unexpectedly, it affects customers and can cost companies millions. Enterprises are constantly looking for new ways to optimize performance, increase reliability and extend asset lifespans—all without adding unnecessary costs.

Cost-Benefit 80

Cost-Benefit Measurement Management Predictive Analytics 80

IBM Big Data Hub

APRIL 28, 2022

To reduce delays, human errors and overall costs, data and IT leaders need to look beyond traditional data best practices and shift toward modern data management agility solutions that are powered by AI. Learn more about a data fabric architecture and how it can benefit your organization. That’s where the data fabric comes in.

Metadata 78

Metadata Data Warehouse Forecasting Predictive Modeling 78

FineReport

APRIL 9, 2024

Benefits of Healthcare Business Intelligence Tools Improved Decision-Making: Healthcare BI tools enable informed decision-making by providing real-time data analysis and predictive insights. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

OCTOBER 5, 2023

CBRE has also used AI to optimize portfolios for several clients, and recently launched a self-service generative AI product that enables employees to interact with CBRE and external data in a conversational manner. For AI, the high-value quadrant is where you’ll find most predictive modeling.

Experimentation 130

Experimentation Strategy Machine Learning Interactive 130

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

APRIL 10, 2020

Taking control of the data that you have can not only improve information accessibility within your company but provide a range of benefits that can be the driving force behind gaining a competitive advantage in your market. Cut Costs & Improve Efficiency. But how exactly can big data help?

Big Data 137

Big Data Cost-Benefit Metrics Marketing 137

Smarten

MAY 16, 2019

You probably know how much it costs to recruit and hire a team member but, do you know how long that team member is likely to stay in your employ and what factors will cause them to stay with the company or seek greener pastures? Marketing Optimization. Predictive Analytics Using External Data. Customer Targeting.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Cost-Benefit 51

Smarten

MAY 16, 2019

When applied to the loan approval process, predictive analytics can improve productivity and optimize resources and it can decrease loan defaults and help the business to capitalize on available funds. Marketing Optimization. Predictive Analytics Using External Data. Predictive Analytics Using External Data.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Insurance 40

CIO Business Intelligence

APRIL 22, 2022

For most organizations, it is employed to transform data into value in the form of improved revenue, reduced costs, business agility, improved customer experience, the development of new products, and the like. Data analytics describes the current state of reality, whereas data science uses that data to predict and/or understand the future.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

Sisense

JANUARY 26, 2020

The process of producing goods is an enormous opportunity for data optimization. Because the steps are repeated so many times through the process, a small edge created via predictive analytics in manufacturing will be magnified at every repetition to produce significant benefit. Improve forecasts and maximize revenue.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

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. They are used in everything from robotics to tools that reason and interact with humans.

Risk 71

Risk Modeling Management Metadata 71

Smarten

APRIL 2, 2019

Advanced analytics is the logical tool to help a business optimize its investments and achieve its goals. But, when an organization is ready to consider the implementation of an Advanced Analytics solution, it is difficult to know what it needs to ensure that it can satisfy current and future requirements and ensure user adoption.

Analytics 40

Analytics Predictive Modeling Visualization Cost-Benefit 40

CIO Business Intelligence

AUGUST 7, 2023

Getting proactive with proofs of concept For Praveen Jonnala, senior vice president and CIO at Commscope, a manufacturer of network infrastructure products, effective change management comes by way of pilot projects tuned to a particular business problem and that make the benefits of well-orchestrated transformation clear.

IT 98

IT Sales Manufacturing Cost-Benefit 98

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. Here, we list the most prominent ones used in the industry.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data. What is text mining?

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

O'Reilly on Data

SEPTEMBER 15, 2020

AI Benefits and Stakeholders. AI is a field where value, in the form of outcomes and their resulting benefits, is created by machines exhibiting the ability to learn and “understand,” and to use the knowledge learned to carry out tasks or achieve goals. AI-generated benefits can be realized by defining and achieving appropriate goals.

Cost-Benefit 290

Cost-Benefit Advertising ROI Machine Learning 290

Smarten

MAY 15, 2019

Businesses do not want to be surprised by downtime, equipment failure or the cost of unanticipated equipment replacement. Your business can leverage Predictive Analytics to plan for and anticipate maintenance, investment, changes in resources and training requirements and supply chain management for parts, shipping, etc.

Predictive Analytics 10

Predictive Analytics Management Analytics Cost-Benefit 10

CIO Business Intelligence

MARCH 5, 2024

The ambiguity of what’s working today and which users will benefit is driving some CIOs to ask whether adding Copilot licenses to Microsoft 365 is worth the price. For software developers, the benefits of using copilots and other generative AI capabilities may be more about who is using it and the cost-benefit of validating code results.

Cost-Benefit 124

Cost-Benefit Advertising Experimentation Software 124

O'Reilly on Data

SEPTEMBER 19, 2023

.” Consider the structural evolutions of that theme: Stage 1: Hadoop and Big Data By 2008, many companies found themselves at the intersection of “a steep increase in online activity” and “a sharp decline in costs for storage and computing.” And harder to sell a data-related product unless it spoke to Hadoop.

Machine Learning 243

Machine Learning Testing Modeling Cost-Benefit 243

Smart Data Collective

MAY 17, 2021

A fleet must be outfitted with these technologies to benefit, whether natively or after the fact using add-on solutions. Growing requirement or not, there are many benefits of standardizing big data within fleet management operations. It can also be used to analyze driver behaviors to optimize fuel stops, personal breaks and more.

Big Data 100

Big Data Cost-Benefit IoT Machine Learning 100

IBM Big Data Hub

JULY 5, 2023

Planning In the first stage of the asset lifecycle, stakeholders assess the need for a new asset, its projected value to the organization and its overall cost. With a good digital twin, it’s possible to predict how an asset will perform under certain conditions and what it’s projected lifespan will be.

Strategy 53

Strategy Management IoT Cost-Benefit 53

CIO Business Intelligence

AUGUST 15, 2023

With the avatar deployed, CSN officials plan to measure whether Digital President Zaragoza improves student engagement, learning outcomes, student satisfaction, retention, and accessibility, in addition to producing time and costs savings. Oshkosh tracks manufacturing assets with IoT Organization: Oshkosh Corp.

IT 98

IT Manufacturing IoT Cost-Benefit 98

CIO Business Intelligence

MARCH 22, 2023

The modern privacy toolkit for ML and AI: Benefits and drawbacks Various modern solutions have been developed to address PII challenges, such as federated learning, confidential computing, and synthetic data, which the new class of data consumers is exploring for Privacy in ML and AI. The solution is also partially risk-free.

Machine Learning 105

Machine Learning Cost-Benefit Modeling Risk 105

BizAcuity

MARCH 8, 2019

Through workforce analytics, companies can get a comprehensive view of their employees designed to interpret historical trends and in creating predictive models that lead to insights and better decisions in the future. For the event industry the benefits of workforce analytics approach include-.

Analytics 73

Analytics Prescriptive Analytics Cost-Benefit Metrics 73

Occam's Razor

JANUARY 7, 2019

You'll be surprised by the steep drop in Cost per Acquisition. Google Optimize will be one of your BFFs in this quest. What the cost of getting a retail customer to make subsequent purchases over mobile apps lower? Employees also become smarter when they have to optimize for more than one thing. :).

Marketing Analytics 88

Marketing Analytics Marketing Analytics Strategy 88

Alation

APRIL 4, 2023

The Benefits and Challenges of the Modern Data Stack Why are such integrations needed? The modern data stack (MDS) has some incredible benefits, namely robust, fast, and scalable services in the cloud. For data scientists and engineers, answering these questions enables them to build predictive models with improved accuracy.

Metadata 52

Metadata Cost-Benefit Data Transformation Predictive Modeling 52

Cloudera

NOVEMBER 2, 2020

They built a RTDW using Cloudera to ensure a good customer experience and to keep maintenance costs under control. the time it takes for the data to be optimally queryable is faster – query immediately upon arrival with no need for processing or aggregation or compaction. Optimized for point lookups, analytics, mutations, etc.

Data Warehouse 99

Data Warehouse Optimization Dashboards Interactive 99

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. Based on the decisions being made and how quickly plans can adjust to new forecast updates, what is the cost of forecasting too high or too low? Our team does a lot of forecasting.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

AWS Big Data

NOVEMBER 14, 2023

They love how they can easily stream data with no underlying servers to provision or manage, operate at a massive scale with consistent performance, achieve high resiliency and durability, and benefit from broad integration with myriad sources and sinks to ingest and process data respectively. This is why Kinesis Data Streams is a good fit.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

The Unofficial Google Data Science Blog

JANUARY 31, 2017

Take, for instance, how each field views the provenance of the training data when building predictive models. For most of ML, the training data is a given, often presumed to be representative of the data against which the prediction model will be deployed, but not much else. Some branches of machine learning (e.g.

Machine Learning 73

Machine Learning Modeling Statistics Predictive Modeling 73

Smarten

MAY 17, 2024

The organization looks for a solution that is easy enough for its business users and intuitive enough to produce clear results; one that also provides sophisticated functionality and features and will produce a suitable Return on Investment (ROI) and Total Cost of Ownership (TCO). It also optimizes its resources, knowledge and time.

Analytics 52

Analytics Predictive Modeling ROI Cost-Benefit 52

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. It will ultimately help them spot new business opportunities, cut costs, or identify inefficient processes that need reengineering.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Occam's Razor

NOVEMBER 18, 2014

Short story #2: Predictive Modeling, Quantifying Cost of Inaction. And sometimes they are indeed optimal: 7 Data Presentation Tips: Think, Simplify, Calibrate, Visualize. Three cool benefits: 1. Better than the table, but perhaps less optimal than the Treemap. Short story #5: Segmented Stacked Square Charts.

Visualization 143

Visualization Slice and Dice Predictive Modeling Metrics 143

Smarten

JULY 13, 2023

When an organization implements a Citizen Data Scientist initiative, it can leverage Assisted Predictive Modeling and provide advantages to the business users.’ Loan Approval – The cost of dealing with ‘bad’ loans is high and it reduces profitability and productivity.

Predictive Modeling 52

Predictive Modeling Predictive Analytics Cost-Benefit Advertising 52