CIO Business Intelligence

MAY 17, 2022

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

Risk 145

Risk Consulting Machine Learning Data Science 145

AWS Big Data

MARCH 12, 2024

We share our benchmarking results and methodology, and insights into the cost-effectiveness of EMR Serverless vs. fixed capacity Amazon EMR on EC2 transient clusters on our data workflows orchestrated using Amazon Managed Workflows for Apache Airflow (Amazon MWAA). Using AI coding solutions is also an integral part of this process.

Cost-Benefit 90

Cost-Benefit Optimization Big Data Metrics 90

Smart Data Collective

AUGUST 5, 2020

Additionally, you will get informed in detail concerning the following issues: How AI is being used in judicial systems in the US and China nowadays; Can AI ever make the right decisions and release fair verdicts; Whether it is real that AI will once replace human judges in courts. The last helps to manage post-arrest cases.

Risk 106

Risk Statistics Machine Learning Big Data 106

Smart Data Collective

JULY 1, 2019

Two significant applications really stand out the most: Big data is used extensively in criminal justice research. The majority of modern studies on criminal justice topics rely heavily on data analysis. This makes it a lot easier for law-enforcement officials to keep video evidence that is used in criminal investigations.

Big Data 79

Big Data Cost-Benefit Predictive Analytics Machine Learning 79

BizAcuity

APRIL 25, 2022

The RTP % (return to player) differs across games – virtual slot machines, card games, roulette, wheel of fortune, online poker, and similar player-versus-player games. Most casinos lack a proper analytical system to identify and segment customer profiles based on past behavior. In such cases, digital comes to the rescue.

Marketing 52

Marketing Strategy ROI Digital Transformation 52

CIO Business Intelligence

MAY 1, 2024

Gen AI takes us from single-use models of machine learning (ML) to AI tools that promise to be a platform with uses in many areas, but you still need to validate they’re appropriate for the problems you want solved, and that your users know how to use gen AI effectively. Have you had training?

Cost-Benefit 131

Cost-Benefit Metrics Insurance Measurement 131

Ontotext

APRIL 4, 2019

Learn about how machines can and do help people to be more efficient and more creative. into structured knowledge that can be processed by machines. In the case of the Financial Times, you have to identify yourself (as it is a paid publication) and each subscriber has an individual profile.

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

CIO Business Intelligence

APRIL 15, 2022

And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. Insights gained from analytics and actions driven by machine learning algorithms can give organizations a competitive advantage, but mistakes can be costly in terms of reputation, revenue, or even lives.

Analytics 145

Analytics Machine Learning Insurance Testing 145

O'Reilly on Data

FEBRUARY 18, 2020

O’Reilly online learning contains information about the trends, topics, and issues tech leaders need to watch and explore. It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. In 2019, as in 2018, Python was the most popular language on O’Reilly online learning.

Data-driven 335

Data-driven Software Statistics Marketing 335

IBM Big Data Hub

SEPTEMBER 20, 2023

Phishing is any cyberattack that uses malicious email messages, text messages, or voice calls to trick people into sharing sensitive data (e.g., In one high-profile spear phishing attack , scammers stole more than USD 100 million from Facebook and Google by posing as legitimate vendors and tricking employees into paying fraudulent invoices.

B2B 108

B2B Behavioral Analytics Reporting Consulting 108

The Unofficial Google Data Science Blog

APRIL 17, 2017

The volume and variety of the approaches, and in some cases their inconsistency, called out for an attempt to unify, automate, and extend forecasting methods, and to distribute the results via tools that could be deployed reliably across the company. And then we wanted to forecast these quantities every week, or in some cases more often.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. Organizations using C360 achieved 43.9%

Data Strategy 67

Data Strategy Strategy Data Warehouse Prescriptive Analytics 67

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AutoML tools: Automated machine learning, or autoML, supports faster model creation with low-code and no-code functionality. trillion in value.

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

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. As of this moment, just 5% of all accessible data is analyzed and used – just think of the potential. The rate at which data is generated has increased exponentially in recent years.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Domino Data Lab

JUNE 2, 2019

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.” Secondly, I talked backstage with Michelle, who got into the field by working on machine learning projects, though recently she led data infrastructure supporting data science teams. Because reasons.

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

O'Reilly on Data

JANUARY 28, 2019

Consent is the first step toward the ethical use of data, but it's not the last. Obtaining consent to collect and use data isn't the end of the process; at best, it's the beginning, and perhaps not a very good one. That may have been true years ago, but those limitations on how consent is used seem very shaky, as Nissenbaum argues.

Insurance 170

Insurance Metadata Data Collection Marketing 170

Cloudera

OCTOBER 25, 2022

The data lakehouse is gaining in popularity because it enables a single platform for all your enterprise data with the flexibility to run any analytic and machine learning (ML) use case. It allows users to rapidly ingest data and run self-service analytics and machine learning.

Data Processing 52

Data Processing Data Lake Cost-Benefit Risk 52

Cloudera

AUGUST 21, 2020

They have accelerated advancements from medical and energy R&D, to what and how we drive on the road, to how we socialize, shop and study to how and what we watch on TV and personal devices. Considering the potential security risks and the gravitational pull of “if it isn’t broken, don’t fix it!”, And security profiles shift.

Cost-Benefit 71

Cost-Benefit Big Data ROI Risk 71

O'Reilly on Data

JANUARY 25, 2021

In this report, we look at the data generated by the O’Reilly online learning platform to discern trends in the technology industry—trends technology leaders need to follow. In either case, there’s a difference between “trends” and “trendy.” This study is based on title usage on O’Reilly online learning. Methodology.

Machine Learning 363

Machine Learning Software Testing Technology 363

IBM Big Data Hub

FEBRUARY 9, 2024

Massive, centrally operated mainframe computers from a few players gave way to smaller, more efficient machines accessible to enterprises and research institutions. Video, in particular, offers great potential for holistic learning. In time, powerful personal computers with intuitive no-code interfaces became ubiquitous.

Cost-Benefit 106

Cost-Benefit Modeling Data-driven Enterprise 106

Jet Global

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. These capabilities are to be made available inside the applications people use every day. Embedded analytics, on the other hand, puts intelligence inside the applications people use every day. Consider Delta.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52