O'Reilly on Data

MARCH 27, 2019

Watch highlights from expert talks covering AI, machine learning, data analytics, and more. People from across the data world are coming together in San Francisco for the Strata Data Conference. Below you'll find links to highlights from the event. The journey to the data-driven enterprise from the edge to AI.

Uncertainty 207

Uncertainty Forecasting Data-driven Machine Learning 207

datapine

MARCH 8, 2021

Rapid technological evolution means it’s now possible to use accessible and intuitive data-driven tools to our advantage. We’ve delved into the impact of big data in healthcare. In summary, healthcare analytics is critical to the ongoing success of any organization operating within this broad and invaluable sector.

Reporting 198

Reporting KPI Management Cost-Benefit 198

CIO Business Intelligence

JULY 31, 2023

Natural disasters have been increasing in frequency, severity, and diversity in recent years, pressuring insurers to be more efficient and to anticipate event and claim fallout. In 2023, through July 11, NOAA confirmed 12 such events, including floods and severe storms.

Insurance 95

Insurance Strategy Modeling Data-driven 95

IBM Big Data Hub

JULY 27, 2022

As shown in the following diagram, an issue in the environment triggers several events across the full stack of the business solution. This results in an unmanageable event flood. Moreover, there are often duplicate events due to full-stack level observability and these events result in data silos.

Prescriptive Analytics 93

Prescriptive Analytics Descriptive Analytics Data-driven Cost-Benefit 93

CIO Business Intelligence

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making.

Data Strategy 115

Data Strategy Strategy Machine Learning Data-driven 115

CIO Business Intelligence

JULY 5, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world. That’s where the data and analytics come in.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 98

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

CIO Business Intelligence

JULY 1, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world. That’s where the data and analytics come in.

Recreation/Entertainment 97

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 97

Smart Data Collective

JUNE 8, 2023

We have talked extensively about the many industries that have been impacted by big data. many of our articles have centered around the role that data analytics and artificial intelligence has played in the financial sector. However, many other industries have also been affected by advances in big data technology.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

Birst BI

JANUARY 16, 2018

If you’re a business intelligence (BI) and analytics application user, it’s likely that “data-driven insight to the masses” will soon be top-of-mind. Machine learning will transform BI and analytics. Some data discovery vendors tout that they already deliver “self-service to the masses,” but that’s a dubious claim.

Data-driven 70

Data-driven Analytics Dashboards Machine Learning 70

IBM Big Data Hub

OCTOBER 30, 2023

In today’s digital age where data stands as a prized asset, generative AI serves as the transformative tool to mine its potential. Businesses globally recognize the power of generative AI and are eager to harness data and AI for unmatched growth, sustainable operations, streamlining and pioneering innovation.

Insurance 81

Insurance Data Warehouse Data-driven Unstructured Data 81

Smart Data Collective

JULY 12, 2021

Big data technology keeps reshaping the business landscape and companies have started realizing the importance of using data and analytics in their decision-making processes. While small and medium businesses have yet to adapt to the concept, large businesses invest significantly in data.

Big Data 130

Big Data Marketing Predictive Analytics Risk 130

IBM Big Data Hub

FEBRUARY 19, 2024

By developing contingency plans and resilient supply chains, companies can continue to operate even when unexpected events occur. Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs.

Strategy 84

Strategy Management Forecasting Cost-Benefit 84

IBM Big Data Hub

FEBRUARY 23, 2024

DL models can improve over time through further training and exposure to more data. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends.

Enterprise 100

Enterprise Interactive Data-driven Key Performance Indicator 100

CIO Business Intelligence

DECEMBER 1, 2022

Tapped to guide the company’s digital journey, as she had for firms such as P&G and Adidas, Kanioura has roughly 1,000 data engineers, software engineers, and data scientists working on a “human-centered model” to transform PepsiCo into a next-generation company.

Digital Transformation 139

Digital Transformation IoT Data-driven KPI 139

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. New Avenues of Data Discovery. AI-Powered Big Data Technology. Predictive Business Analytics.

Business Intelligence 101

Business Intelligence Predictive Analytics Data Collection Internet of Things 101

Ontotext

FEBRUARY 26, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. Ontotext’s Relation and Event Detector (RED) is designed to assess and analyze the impact of market-moving events. Why do risk and opportunity events matter?

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Cloudera

AUGUST 18, 2021

Data Lifecycle Management: The Key to AI-Driven Innovation. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven. That way, the data can continue generating actionable insights. . Rethinking the Data Lifecycle. technologies.

Data Lake 87

Data Lake IoT Internet of Things Data-driven 87

IBM Big Data Hub

NOVEMBER 30, 2023

Attend industry events: Participate in conferences, webinars, speaking engagements, award competitions and other events to establish a presence and engage with potential candidates. It can enable organizations to streamline recruitment processes, improve candidate experience and make data-driven hiring decisions.

Strategy 64

Strategy Cost-Benefit Consulting Data-driven 64

IBM Big Data Hub

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Cost-Benefit 85

Cost-Benefit Insurance Unstructured Data Machine Learning 85

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 104

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 104

Smart Data Collective

AUGUST 26, 2021

Instead, you’ve got access to a broad spectrum of valuable weather data right at your fingertips. As long as a user is connected to the internet, they can check the current weather, as well as 7-day or 14-day predictions using their smartphone or computer. These data-driven predictions also tend to be surprisingly accurate.

Forecasting 129

Forecasting Data Analytics Analytics IoT 129

Smart Data Collective

FEBRUARY 20, 2022

More companies are investing in big data than ever these days. One survey published on CIO found that less than a third of companies have reported that big data has buy-in from top executives. If you are running a business that has not yet adapted a data strategy, you should keep reading. Making Decisions More Easily.

Big Data 111

Big Data Management Finance Data-driven 111

CIO Business Intelligence

JUNE 16, 2022

Today, they run on data and that data is usually juggled, herded, curated, and organized by business process management (BPM) software. Over time, casual developers can use the low-code functionality to update the process and incorporate new data feeds. In the past, businesses were said to run on paper. Arrayworks.

Management 118

Management Insurance Software Digital Transformation 118

FineReport

APRIL 25, 2024

Discovering the World of Data Visualization Jobs In today’s data-driven world, data visualization jobs play a crucial role in transforming complex information into visually appealing and easy-to-understand graphics. But what exactly are data visualization jobs, and why are they important?

Visualization 52

Visualization Data-driven Dashboards Interactive 52

Smart Data Collective

SEPTEMBER 15, 2019

Big data has brought major changes to countless industries. Healthcare, finance, criminal justice, and manufacturing have all been touched by advances in big data. However, big data is also transforming other industries. The music industry is relying more on big data than ever. Here are some ways big data can help.

Big Data 78

Big Data Optimization Insurance Predictive Analytics 78

Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed.

Analytics 107

Analytics Digital Transformation Risk Forecasting 107

datapine

JUNE 15, 2023

These analytical tools allow decision-makers to get a sense of their performance in a number of areas and extract valuable insights to inform their future strategies and boost growth. In the past, these reports were used after a month or even a year since the data being displayed was generated.

Reporting 207

Reporting Dashboards Cost-Benefit Sales 207

CIO Business Intelligence

MARCH 14, 2022

So, it follows that there’s an optimal level of data where collecting further information won’t be worth the added cost. That optimal point is when additional data will not meaningfully change your decision. I call this point data saturation. Data creates the context for decision-making. Which customer should we lend to?

Uncertainty 100

Uncertainty Measurement Cost-Benefit Optimization 100

IBM Big Data Hub

AUGUST 7, 2023

Failure to share data and results from randomized clinical trials means a missed opportunity to contribute to systematic reviews and meta-analyses as well as a lack of lesson-sharing with the biopharma community. AI can also empower trial managers and executives with the data to make strategic decisions.

Optimization 57

Optimization Forecasting Data-driven Strategy 57

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). Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics).

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

BizAcuity

MAY 7, 2019

An area of predictive analytics, demand forecasting takes into account the historical data of a business and uses that to harnesses the demand for their goods and services. It also provides reasonable data for the organization’s capital investment and expansion decisions and eases the process of suitable pricing and marketing.

Forecasting 75

Forecasting IT Sales Statistics 75

Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 90

Analytics IoT Cost-Benefit Big Data 90

Smart Data Collective

FEBRUARY 5, 2021

Data analytics has made forex trading easier than ever. Unfortunately, some traders are reluctant to take advantage of these opportunities, because they don’t know how to use new data analytics tools to their advantage. AI and Data Analytics Changed Forex Trading Forever.

Data Analytics 102

Data Analytics Analytics Big Data Predictive Analytics 102

Sisense

AUGUST 14, 2020

In the case of a stock trading AI, for example, product managers are now aware that the data required for the AI algorithm must include human emotion training data for sentiment analysis. It follows then that data scientists are suddenly integral to building embedded AI components.

Machine Learning 98

Machine Learning Visualization Predictive Analytics Testing 98

IBM Big Data Hub

JULY 27, 2023

It offers a holistic view, providing critical data about asset condition, location and efficiency. More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring.

Cost-Benefit 58

Cost-Benefit IoT Internet of Things Enterprise 58

FineReport

APRIL 26, 2023

As the world becomes increasingly digitized, the amount of data being generated on a daily basis is growing at an unprecedented rate. This has led to the emergence of the field of Big Data, which refers to the collection, processing, and analysis of vast amounts of data. What is Big Data? What is Big Data?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52