CIO Business Intelligence

FEBRUARY 9, 2024

Like many other professional sports leagues, the NFL has been at the leading edge of data-driven transformation for years. Digital Athlete is a platform that leverages AI and machine learning (ML) to predict from plays and body positions which players are at the highest risk of injury.

Recreation/Entertainment 134

Recreation/Entertainment Data-driven Risk Digital Transformation 134

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). AI products are automated systems that collect and learn from data to make user-facing decisions. Machine learning adds uncertainty.

Management 333

Management Machine Learning Experimentation Metrics 333

IBM Big Data Hub

MARCH 7, 2023

At Innocens BV, the belief is that earlier identification of sepsis-related events in newborns is possible, especially given the vast amount of data points collected from the moment a baby is born. Years’ worth of aggregated data in the NICU could help lead us to a solution.

Risk 52

Risk Technology Informatics Predictive Modeling 52

Cloudera

SEPTEMBER 22, 2022

In this post, I’ll explore opportunities to enhance risk assessment and underwriting, especially in personal lines and small and medium-sized enterprises. To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. Step one: gather the data.

Analytics 102

Analytics Insurance IoT Risk 102

CIO Business Intelligence

MARCH 30, 2022

For organizations looking to move beyond stale reports, decision intelligence holds promise, giving them the ability to process large amounts of data with a sophisticated mix of tools such as artificial intelligence and machine learning to transform data dashboards and business analytics into more comprehensive decision support platforms.

Machine Learning 144

Machine Learning Testing Risk Data-driven 144

Smart Data Collective

JUNE 8, 2023

The introduction of data collection and analysis has revolutionized the way teams and coaches approach the game. Liam Fox, a contributor for Forbes detailed some of the ways that data analytics is changing the NFL. Big data will become even more important in the near future.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

Cloudera

APRIL 13, 2022

It means your company has automated the processes of collecting, understanding and acting on data across the board, from production to purchasing to product development to understanding customer priorities and preferences. Data collection and interpretation when purchasing products and services can make a big difference.

Data Collection 113

Data Collection Machine Learning Strategy Data-driven 113

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Financial services: Develop credit risk models.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

IBM Big Data Hub

FEBRUARY 7, 2024

Investors, regulators and stakeholders are increasingly demanding that companies disclose their exposure to climate-related risks , such as dependence on fossil fuels or vulnerability to weather events. The goal is for there to be more nature by 2030 than there is today—which means taking actionable steps in 2024.

Reporting 90

Reporting Internet of Things Cost-Benefit Data-driven 90

Smart Data Collective

FEBRUARY 28, 2023

Here at Smart Data Collective, we have blogged extensively about the changes brought on by AI technology. Machine learning technology has already had a huge impact on our lives in many ways. There are numerous ways that machine learning technology is changing the financial industry. What is risk parity?

Machine Learning 84

Machine Learning Risk Cost-Benefit Marketing 84

Smart Data Collective

AUGUST 2, 2022

This figure is expected to grow as more companies recognize the potential and decide to increase the resources they dedicate to machine learning and predictive analytics tools. Companies that fail to leverage AI effectively risk falling behind in a competitive industry. Big data. AI-based software development.

Software 126

Software Machine Learning B2B Manufacturing 126

Smart Data Collective

APRIL 22, 2020

This moment in history is unlike any other — and the value of data in ending it resembles nothing we’ve yet seen. Combining the coronavirus and big data may prove just how valuable artificial intelligence and other major technologies can be. Predicting Community and Individual Risk of Infection. Weather and climate.

Big Data 110

Big Data Machine Learning Risk Interactive 110

CIO Business Intelligence

FEBRUARY 13, 2024

Using data and analytics to preserve the rainforest The Smart Rainforest initiative goes beyond data collection. It uses advanced data analytics and AI to derive meaningful insights from the vast amounts of information gathered.

IoT 58

IoT Internet of Things Machine Learning Data Collection 58

DataRobot

OCTOBER 20, 2021

Because of the multidisciplinary nature of AI products, stakeholders across an entire organization must share a common understanding of each project’s scope, deployment, governance , impact, and projected risk. Achieving that level of governance at scale requires a common understanding of AI and data concepts. WHITE PAPER.

Machine Learning 52

Machine Learning Metrics Risk Deep Learning 52

CIO Business Intelligence

APRIL 29, 2022

Preparing for an artificial intelligence (AI)-fueled future, one where we can enjoy the clear benefits the technology brings while also the mitigating risks, requires more than one article. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. era is upon us.

Data Governance 145

Data Governance IT Risk Data Lake 145

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

Smart Data Collective

JULY 9, 2023

Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. Identifying Key Metrics for Conversion Rate Optimization Data collection and analysis are both essential processes for optimizing your conversion rate.

Optimization 73

Optimization Data Analytics Analytics Data-driven 73

CIO Business Intelligence

SEPTEMBER 19, 2023

AI personalization utilizes data, customer engagement, deep learning, natural language processing, machine learning, and more to curate highly tailored experiences to end-users and customers. AI can also be integrated into products to better ensure their safety and the safety of the people who use them.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. This isn’t always simple, since it doesn’t just take into account technical risk; it also has to account for social risk and reputational damage. Agreeing on metrics.

Marketing 362

Marketing Experimentation Metrics Testing 362

CIO Business Intelligence

DECEMBER 19, 2023

In recent years, government agencies have increasingly turned to cloud computing to manage vast amounts of data and streamline operations. While cloud technology has many benefits, it also poses security risks, especially when it comes to protecting sensitive information.

Data Lake 109

Data Lake Management Cost-Benefit Data Processing 109

IBM Big Data Hub

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. They can also reduce the likelihood of human error, deliver more personalized customer messages and identify at-risk customers. What is AI marketing?

Marketing 79

Marketing Technology Advertising ROI 79

IBM Big Data Hub

AUGUST 14, 2023

Under-deployed tools and solutions that do the minimal that’s “good enough” or that face other barriers like the risk aversion to fully automating processes that could have unintended consequences. UBA’s Machine Learning Analytics add-on extends the capabilities of QRadar by adding use cases for ML analytics.

Cost-Benefit 55

Cost-Benefit Machine Learning Consulting Data mining 55

Smart Data Collective

APRIL 25, 2022

If you are relying on simple manual tracking processes, then this can be difficult to stay on topic due to the large amounts of online information and data about your business which is out there. Instead, machine learning algorithms can be much more effective when tracking online reviews. Social Media Listening.

Management 135

Management Machine Learning Marketing Deep Learning 135

IBM Big Data Hub

JANUARY 15, 2024

Traditional AI primarily relies on algorithms and extensive labeled data sets to train models through machine learning. Machine learning-trained generative AI might help in drafting new contracts based on this research.

Machine Learning 64

Machine Learning Digital Transformation Modeling Data Collection 64

CIO Business Intelligence

SEPTEMBER 2, 2022

In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems. Other sought-after skills include Python, R, JavaScript, C++, Apache Spark, and Hadoop. .

Finance 98

Finance IT Software Reporting 98

FineReport

MARCH 24, 2024

They identify and interpret trends in complex datasets, optimize statistical results, and maintain databases while devising new data collection processes. Additionally, they facilitate organizational risk assessments, provide consulting services to leadership, and mentor junior analysts. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

AUGUST 31, 2022

In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems. Other sought-after skills include Python, R, JavaScript, C++, Apache Spark, and Hadoop. .

Finance 98

Finance IT Software Reporting 98

O'Reilly on Data

OCTOBER 22, 2020

The safest course of action is also the slowest and most expensive: obtain your training data as part of a collection strategy that includes efforts to obtain the correct representative sample under an explicit license for use as training data. How I use it: I like to ask this as early as possible. How many people will use it?

Consulting 297

Consulting Risk Cost-Benefit Modeling 297

Cloudera

SEPTEMBER 29, 2021

Among the use cases for the government organizations that we are working on is one which leverages machine learning to detect fraud in payment systems nationwide. Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. .

Digital Transformation 84

Digital Transformation Data Governance Data-driven Uncertainty 84

IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions.

Cost-Benefit 83

Cost-Benefit Insurance Unstructured Data Machine Learning 83

CIO Business Intelligence

SEPTEMBER 8, 2022

Most organizations understand the profound impact that data is having on modern business. In Foundry’s 2022 Data & Analytics Study , 88% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change their business models over the next three years.

Cost-Benefit 121

Cost-Benefit Internet of Things Data-driven Data Lake 121

IBM Big Data Hub

APRIL 22, 2024

The US City of Atlanta , for example, uses IBM data collection, machine learning and AI to monitor public transit tunnel ventilation systems and predict potential failures that could put passengers at risk. This will help advance progress by optimizing resources used.

IoT 78

IoT Internet of Things Cost-Benefit Reporting 78

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.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Cloudera

OCTOBER 11, 2022

Risk increases. Data and AI projects cost more and take longer. This leads to the obvious question – how do you do data at scale ? Al needs machine learning (ML), ML needs data science. Data science needs analytics. Which means no digital transformation. Innovation stalls.

Snapshot 95

Snapshot Data Science Digital Transformation Metadata 95

BizAcuity

JULY 7, 2020

With limited seating and slot machine on the floor, casinos are ensuring that the risk of the spread of the virus is contained. Earlier, marketing campaigns were highly dependent on data. Giving paramount importance to the safety of the customers, new norms of functioning have been laid down. This too shall pass.

Revenue Optimization 98

Revenue Optimization Measurement Interactive Marketing 98

Smart Data Collective

MAY 8, 2022

Let’s not forget that big data and AI can also automate about 80% of the physical work required from human beings, 70% of the data processing, and more than 60% of the data collection tasks. From the statistics shown, this means that both AI and big data have the potential to affect how we work in the workplace.

Big Data 104

Big Data Data Analytics Analytics Cost-Benefit 104

IBM Big Data Hub

MAY 26, 2023

With the growth in usage of digital technology and cloud in the life sciences industry, digital information is more readily available and at a greater risk for exploitation. Amazon Textract can be leveraged to extract printed text, handwriting and data from any document or image and then passed into Amazon Comprehend Medical for redaction.

Consulting 74

Consulting Cost-Benefit Optimization Machine Learning 74