CIO Business Intelligence

JANUARY 9, 2024

Few technologies have provoked the same amount of discussion and debate as artificial intelligence, with workers, high-profile executives, and world leaders waffling between praise and fears over AI. Which business cases actually need AI? We want to make sure we enable the business to use new technologies; that’s my personal goal.

IT 140

IT Risk Cost-Benefit Machine Learning 140

CIO Business Intelligence

MAY 30, 2024

This is the case of Alpitour World, one of Italy’s largest travel companies, where gen AI projects have merged with preexisting uses of AI. I tried to use it for text generation and information retrieval, but it seemed more suitable for a consumer environment than corporate reality.

Cost-Benefit 119

Cost-Benefit Sales Modeling Experimentation 119

erwin

DECEMBER 9, 2024

When it comes to using AI and machine learning across your organization, there are many good reasons to provide your data and analytics community with an intelligent data foundation. Observing data patterns upfront objectively helps us to eliminate bias as we gather and assemble the data that will be used to train AI models.

Metadata 52

Metadata Data Quality Sales Modeling 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 143

Cost-Benefit Metrics Insurance Measurement 143

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 101

Big Data Cost-Benefit Predictive Analytics Machine Learning 101

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 103

Data Strategy Strategy Data Warehouse Prescriptive Analytics 103

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 97

B2B Behavioral Analytics Reporting Machine Learning 97

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 Science 110

Data Science Data-driven Machine Learning Modeling 110

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 116

Cost-Benefit Big Data Optimization Metrics 116

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.

Big Data 76

Big Data Cost-Benefit ROI Risk 76

IBM Big Data Hub

DECEMBER 14, 2023

As I’ve seen it being used with remarkable efficiency in coding, trip planning, meeting preparation, user interface design, job interview question generation and social media posts, it’s clear that this technology will continue to advance and become even more integral to our daily lives. Automated regression tests are a dynamite.

Experimentation 65

Experimentation Testing Software Management 65

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 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

IBM Big Data Hub

AUGUST 14, 2023

The Cost of a Data Breach 2023 global survey found that extensively using artificial intelligence (AI) and automation benefited organizations by saving nearly USD 1.8 The findings in these studies paint a tremendously strained situation for most security operations teams.

Cost-Benefit 55

Cost-Benefit Machine Learning Consulting Data mining 55

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

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

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

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

O'Reilly on Data

OCTOBER 22, 2020

A recent discussion led us down the path of our favorite questions: what they are, why they’re useful, and when they don’t work so well. We hope you’re able to borrow questions you haven’t used before, and even cook up new questions that are more closely related to your personal and professional interests.

Consulting 363

Consulting Risk Cost-Benefit Modeling 363

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 136

Risk Statistics Machine Learning Big Data 136

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 364

Machine Learning Software Testing Technology 364

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

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 94

Cost-Benefit Modeling Data-driven Enterprise 94

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

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 Data Science Machine Learning Consulting 145

O'Reilly on Data

NOVEMBER 26, 2024

Entirely new paradigms rise quickly: cloud computing, data engineering, machine learning engineering, mobile development, and large language models. Using adjuncts to teach the skills that industry wants creates its own problem: an underclass within the university teaching staff. Students need to learn how to make mistakes.

B2B 275

B2B Consulting Machine Learning Data-driven 275

O'Reilly on Data

APRIL 15, 2025

Heres a common scene from my consulting work: AI TEAM Heres our agent architectureweve got RAG here, a router there, and were using this new framework for ME [Holding up my hand to pause the enthusiastic tech lead] Can you show me how youre measuring if any of this actually works? Most AI teams focus on the wrong things. This isnt surprising.

Experimentation 332

Experimentation Testing Metrics Measurement 332

CIO Business Intelligence

MAY 6, 2025

Predictive analytics: Turning insight into foresight Predictive analytics uses historical data and statistical models or machine learning algorithms to answer the question, What is likely to happen? This is where analytics begins to proactively impact decision-making. What will happen? What should we do?

Prescriptive Analytics 78

Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78