Smart Data Collective

SEPTEMBER 19, 2022

Big Data is the collection and processing of huge volumes of different data types, which financial institutions use to gain insights into their business processes and make key company decisions. Through big data insights, financial institutions can offer personalized services as well as predict consumer behavior. Improving Security.

Big Data 129

Big Data ROI Measurement Risk 129

IBM Big Data Hub

FEBRUARY 23, 2024

Conversational artificial intelligence (AI) leads the charge in breaking down barriers between businesses and their audiences. This class of AI-based tools, including chatbots and virtual assistants, enables seamless, human-like and personalized exchanges.

Enterprise 104

Enterprise Interactive Data-driven Key Performance Indicator 104

CIO Business Intelligence

MAY 28, 2022

And that is in no small part thanks to the vision of James McGlennon, who in his role as CIO of Liberty Mutual for past 17 years has led the charge to the cloud, analytics, and AI with a budget north of $2 billion. We’re doing a lot on AI and machine learning and robotics.

Insurance 140

Insurance Machine Learning Digital Transformation Cost-Benefit 140

Jen Stirrup

FEBRUARY 24, 2024

What is AI? Artificial Intelligence examples in Business and Everyday life There are plenty of debates in academia, but we will focus on making AI work for small businesses. In simple terms, Artificial Intelligence allows machines to emulate human cognitive functions like learning and problem-solving.

Cost-Benefit 70

Cost-Benefit Data-driven Testing Risk 70

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. billion in 2022, according to a research study published by The Insight Partners in August 2022.

Predictive Analytics 143

Predictive Analytics Analytics Predictive Modeling Forecasting 143

AWS Big Data

NOVEMBER 8, 2023

re:Invent is a learning conference organized by AWS for the global cloud computing community. To derive meaningful insights and ensure the optimal performance of machine learning (ML) and generative AI models, data needs to be ingested and processed in real time. Register now! Reserve your seat now!

Data-driven 85

Data-driven Data Lake Machine Learning Cost-Benefit 85

Rocket-Powered Data Science

JULY 7, 2019

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Examples: (1-3) All those applications shown in the definition of Machine Learning. (4)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

IBM Big Data Hub

FEBRUARY 14, 2024

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. We’re all amazed by what AI can do.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

Cloudera

SEPTEMBER 10, 2021

By more effectively leveraging its petabytes of current and historical data, the IRS is working to stave off costly fraud and waste, more efficiently deliver on fundamental missions, and better protect taxpayers, including from risks such as identity theft. Pairing High-Tech Keys to Unlock the Power of Data.

Machine Learning 67

Machine Learning Statistics Data-driven Big Data 67

Cloudera

SEPTEMBER 1, 2021

Here’s one example: Deutsche Telecom delivers telecom services to 150 million global customers, and preventing network fraud is a major challenge for the company. To better identify fraud patterns, the company’s analysts needed a way to capture and analyze a greater volume of data. pivot quicker when supply chains falter; .

Data-driven 97

Data-driven Data Quality Enterprise Digital Transformation 97

CIO Business Intelligence

MAY 27, 2022

And that is in no small part thanks to the vision of James McGlennon, who in his role as CIO of Liberty Mutual for past 17 years has led the charge to the cloud, analytics, and AI with a budget north of $2 billion. We’re doing a lot on AI and machine learning and robotics.

Insurance 95

Insurance Machine Learning Digital Transformation Cost-Benefit 95

CIO Business Intelligence

APRIL 19, 2023

It’s also about being able to capture the insights needed to better forecast energy consumption in the future.” Thanks to cloud, Internet of Things (IoT), and 5G technologies, every link in the retail supply chain is becoming more tightly integrated. Shanthakumar, Solution Architect – IoT, Retail Business Unit, TCS.

IoT 96

IoT Internet of Things Optimization Digital Transformation 96

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. Generative AI ( artificial intelligence ) promises a similar leap in productivity and the emergence of new modes of working and creating. the generated content) should most likely land.

Enterprise 123

Enterprise Modeling Testing Data-driven 123

IBM Big Data Hub

JANUARY 30, 2024

Finance: Optimized for high-speed transactions and can assist in providing robust security, harnessing AI for fraud detection and real-time risk management. Sometimes, we can look to others who have gone before us for inspiration and examples to help shape our vision for success.

Manufacturing 78

Manufacturing Business Objectives Optimization Risk Management 78

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. 1] With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

AUGUST 7, 2023

With data, an organization can do super powerful things with AI and machine learning, like building models that do everything from enhancing fraud detection capabilities to identifying gaps in the market for the organization to separate from the pack. According to research firm Forrester, 94% of U.S.

Metadata 84

Metadata Risk Software Enterprise 84

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

APRIL 6, 2022

AIOps is built on AI and machine learning (ML) to evaluate processes, identify inefficiencies, and automate remediation, all with little to no human intervention. AIOps is built on AI and machine learning (ML) to evaluate processes, identify inefficiencies, and automate remediation, all with little to no human intervention.

Data mining 73

Data mining Deep Learning Insurance Digital Transformation 73

CIO Business Intelligence

MARCH 21, 2022

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Learn from data scientists about their responsibilities and find out how to launch a data science career. | Data scientist salary.

Unstructured Data 136

Unstructured Data Data Analytics Analytics Structured Data 136

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. Several factors are driving the adoption of knowledge graphs.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Smart Data Collective

NOVEMBER 1, 2020

Machines, artificial intelligence (AI), and unsupervised learning are reshaping the way businesses vie for a place under the sun. With that being said, let’s have a closer look at how unsupervised machine learning is omnipresent in all industries. What Is Unsupervised Machine Learning?

Machine Learning 133

Machine Learning Data mining Visualization Statistics 133

AWS Big Data

OCTOBER 26, 2023

Data analysts and database developers want to use this data to train machine learning (ML) models, which can then be used to generate insights on new data for use cases such as forecasting revenue, predicting customer churn, and detecting anomalies.

Modeling 62

Modeling Data Warehouse Machine Learning Testing 62

AWS Big Data

NOVEMBER 14, 2023

With data streaming, you can power data lakes running on Amazon Simple Storage Service (Amazon S3), enrich customer experiences via personalization, improve operational efficiency with predictive maintenance of machinery in your factories, and achieve better insights with more accurate machine learning (ML) models.

IoT 55

IoT Data-driven Data Lake Data Strategy 55

Ontotext

MAY 25, 2023

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. During the conference, the organizers hosted a separate track called the Healthcare and Life Sciences Symposium.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

IBM Big Data Hub

JULY 11, 2023

According to Statista , the artificial intelligence (AI) healthcare market, valued at $11 billion in 2021, is projected to be worth $187 billion in 2030. AI and ML technologies can sift through enormous volumes of health data—from health records and clinical studies to genetic information—and analyze it much faster than humans.

Deep Learning 58

Deep Learning Cost-Benefit Insurance Machine Learning 58

Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. Some of the key points raised during this session included: Pandemic Resiliency and Opportunities to Improve. Low Probability, High Impact Events Readiness. AI and ML’s current State of Play. Area such as: .

Risk 98

Risk Optimization Management Insurance 98

BizAcuity

MARCH 31, 2022

There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language. AI for Business.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 106

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 106

bridgei2i

APRIL 9, 2019

Introducing innovative technologies such as Artificial Intelligence(AI) can help the financial sector to automate various processes, manage financial advisory services, and reduce the cost of various business expenses. Let’s discuss in detail how AI-enabled analytics can help the financial sector. AI-driven Customer Assistance Banking.

Unstructured Data 69

Unstructured Data Sales Data-driven Finance 69

Cloudera

MAY 12, 2021

Use cases could include but are not limited to: predictive maintenance, log data pipeline optimization, connected vehicles, industrial IoT, fraud detection, patient monitoring, network monitoring, and more. DATA FOR ENTERPRISE AI. HYBRID & MULTI-CLOUD INNOVATION. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 67

Digital Transformation Machine Learning Optimization Data Lake 67

CIO Business Intelligence

JUNE 30, 2023

It’s well acknowledged that data, when used correctly, has the potential to be a strategic growth asset driving innovation – and with the recent developments in large language models (LLM) for AI, data is really having its day in the sun. To win the game, you need a modern, future-proof business plan.

Internet of Things 90

Internet of Things Strategy Data Strategy Risk 90

Ontotext

MAY 2, 2024

Particularly those on the “the create side of the house” who are tasked to deliver insights and analytics. They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Data Insight

OCTOBER 27, 2021

The potential contribution to the global economy from AI could be $15.7 Artificial Intelligence, or AI as we know it, is around us every day. The concept of AI has been around since the 1950s. So, what exactly is AI? Simply put, AI is intelligence demonstrated by machines that mimic human behaviour.

Machine Learning 52

Machine Learning Insurance Cost-Benefit Unstructured Data 52

CIO Business Intelligence

JUNE 30, 2022

For instance, IDC found that 84 ZB of data was created, captured, or replicated in 2021, but just 10% of that data could have been used for analysis or artificial intelligence (AI) and Machine Learning (ML) models 1. Specialized AI and ML services. We’ve seen accelerated growth and maturation of digital businesses.

IoT 88

IoT Forecasting Internet of Things Machine Learning 88

CIO Business Intelligence

JULY 5, 2022

For instance, IDC found that 84 ZB of data was created, captured, or replicated in 2021, but just 10% of that data could have been used for analysis or artificial intelligence (AI) and Machine Learning (ML) models 1. Specialized AI and ML services. We’ve seen accelerated growth and maturation of digital businesses.

IoT 88

IoT Forecasting Internet of Things Machine Learning 88

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. Digital transformation has been talked about for many years, but the pandemic has accelerated the digital transformation journeys for many enterprises.

Digital Transformation 80

Digital Transformation Data Governance Data-driven Uncertainty 80