IBM Big Data Hub

SEPTEMBER 6, 2023

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions. What is AI marketing?

Marketing 87

Marketing Technology Advertising ROI 87

Rocket-Powered Data Science

MARCH 19, 2021

With its vast assortment of sensors and streams of data that yield digital insights in situ in almost any situation, the IoT / IIoT market has a projected market valuation of $1.5 Dynamic sense-making, insights discovery, next-best-action response, and value creation is essential when data is being acquired at an enormous rate.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

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 83

Data Analytics Analytics Data Collection Statistics 83

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 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

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 107

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 107

Jedox

JULY 23, 2019

You do not have to be a data scientist to recognize the impact of technology on FP&A is and will continue to be significant. One of the biggest challenges of automation (Robotic Process Automation) and artificial intelligence/machine learning technologies is our current mindset. Crystal ball. Cross system (macro macros).

Technology 52

Technology Forecasting Finance Data-driven 52

Smart Data Collective

OCTOBER 16, 2023

Smart devices use sensors to collect data and upload it to the Internet. Examples include CCTV records, automated vacuum cleaners, weather station data, and other sensor-generated data. All in all, big data refers to massive data collections obtained from various sources.

Big Data 103

Big Data IoT Cost-Benefit Advertising 103

Smart Data Collective

JUNE 29, 2022

During this wave of disruption, successful business owners and startup founders need to understand the technologies that are driving the industry forward. AI can benefit financial technology in a number of ways. Artificial intelligence is also adept at data processing and analytics, both useful tools for financial applications.

Cost-Benefit 87

Cost-Benefit Predictive Analytics Finance Forecasting 87

Smart Data Collective

MARCH 8, 2021

According to a forecast by IDC and Seagate Technology, the global data sphere will grow more than fivefold in the next seven years. The total amount of new data will increase to 175 zettabytes by 2025 , up from 33 zettabytes in 2018. This ever-growing volume of information has given rise to the concept of big data.

Big Data 143

Big Data Management Predictive Analytics Statistics 143

CIO Business Intelligence

NOVEMBER 1, 2023

But many are finding that the technology on the market doesn’t yet live up to the hype. There’s indeed a lot of hype around the latest wave of large language models (LLM) and associated tools, yet beneath the noise, there’s a whisper about how the technology will one day become indispensable. The big question is what to do with it now.

Enterprise 130

Enterprise Digital Transformation Modeling Interactive 130

CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Analytics 135

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 135

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. Toward a smarter venue.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 98

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. Toward a smarter venue.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 98

CIO Business Intelligence

SEPTEMBER 19, 2023

AI tools help companies optimize cloud pricing and spending by identifying cloud usage patterns for improved cost prediction, detecting anomalies in cloud usage, identifying opportunities for saving, and uncovering more cost-effective resources to use. Artificial Intelligence, Chatbots, IT Strategy, Predictive Analytics

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

Smart Data Collective

AUGUST 2, 2022

Artificial intelligence technology is changing the future of many industries. 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. They have found that AI technology is opening new doors.

Software 127

Software Machine Learning B2B Manufacturing 127

IBM Big Data Hub

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. 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 107

Enterprise Interactive Data-driven Key Performance Indicator 107

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 85

Data Science Data Analytics Prescriptive Analytics Analytics 85

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 74

Optimization Data Analytics Analytics Data-driven 74

CIO Business Intelligence

OCTOBER 4, 2022

In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” In their view a coherent data architecture “helps traditional corporations translate technical investments into user-centric co-inventions.”

Machine Learning 116

Machine Learning Data Architecture Uncertainty Data-driven 116

DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

CIO Business Intelligence

APRIL 12, 2022

Because AIOps helps applications and infrastructure fade into the background, successful organizations are readily deploying the emerging technology. The MIT Technology Review Insights paper clearly shows how AIOps helps these IT professionals speed operations and focus their energy on growing the business. About Ronak Chokshi.

Digital Transformation 145

Digital Transformation B2B Enterprise IoT 145

CIO Business Intelligence

MARCH 3, 2023

Metrics help NHL support sustainability goals The National Hockey League (NHL) is leveraging data and analytics to measure the carbon footprint of its teams’ venues and to glean insights into best practices for its sustainability goals, notable given the league’s venues’ dependence on energy to maintain their ice.

Data Analytics 98

Data Analytics Analytics Measurement Metrics 98

FineReport

JUNE 24, 2021

Originally, Excel has always been the “solution” for various reporting and data needs. However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming. Conclusion.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

Rocket-Powered Data Science

JULY 7, 2019

Definitions of terminology frequently seen and used in discussions of emerging digital technologies. 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). Career Relevance.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smart Data Collective

AUGUST 26, 2021

Weather forecasting technology has grown from strength to strength in the last few decades. Instead, you’ve got access to a broad spectrum of valuable weather data right at your fingertips. These data-driven predictions also tend to be surprisingly accurate. Hadoop has also helped considerably with weather forecasting.

Forecasting 130

Forecasting Data Analytics Analytics IoT 130

datapine

JANUARY 6, 2022

Qualitative data, as it is widely open to interpretation, must be “coded” so as to facilitate the grouping and labeling of data into identifiable themes. Predictive analysis: As its name suggests, the predictive analysis method aims to predict future developments by analyzing historical and current data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

datapine

MAY 2, 2023

Sensors on delivery trucks, weather data, road maintenance data, fleet maintenance schedules, real-time fleet status indicators, and personnel schedules can all be integrated into a system that looks at historical trends and gives advice accordingly.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

IBM Big Data Hub

SEPTEMBER 26, 2022

Health inequities in the US came into sharp relief during the COVID-19 pandemic: Analyses of federal, state and local healthcare data show that people of color experienced a disproportionate burden of cases and deaths. But there is promising news. Keeping the citizen front and center.

B2B 52

B2B Visualization Data-driven Cost-Benefit 52

IBM Big Data Hub

JUNE 14, 2023

Smart manufacturing (SM)—the use of advanced, highly integrated technologies in manufacturing processes—is revolutionizing how companies operate. Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g.,

Manufacturing 79

Manufacturing Technology Internet of Things Cost-Benefit 79

datapine

NOVEMBER 19, 2019

In this post, we’re going to give you the 10 IT & technology buzzwords you won’t be able to avoid in 2020 so that you can stay poised to take advantage of market opportunities and new conversations alike. Exclusive Bonus Content: Download our Top 10 Technology Buzzwords!

Technology 279

Technology Internet of Things IT IoT 279

IBM Big Data Hub

FEBRUARY 14, 2024

McDonald’s is building AI solutions for customer care with IBM Watson AI technology and NLP to accelerate the development of its automated order taking (AOT) technology. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

IBM Big Data Hub

AUGUST 7, 2023

Tackling complexities in clinical trial site selection: A playground for a new technology and AI operating model Enrollment strategists and site performance analysts are responsible for constructing and prioritizing robust end-to-end enrollment strategies tailored to specific trials. Tufts Center for the Study of Drug Development.

Optimization 61

Optimization Forecasting Data-driven Strategy 61

Smart Data Collective

APRIL 22, 2020

The following is just a sample of the many ways big data and machine learning are flattening the coronavirus curve, as well as study the disease, mount a sensible public response and reopen our communities, economies and countries. Predicting Community and Individual Risk of Infection. Here are a few ways this is possible: 1.

Big Data 111

Big Data Machine Learning Risk Interactive 111

Data Science 101

OCTOBER 31, 2019

Data Collection. After defining the goals in the previous step, it is essential to collect data. This could involve using data that already exists in a company’s database, getting data from external resources or steps to collect new data through survey forms filled by customers. Regression.

Data mining 77

Data mining KDD Data Science Forecasting 77

datapine

AUGUST 29, 2022

And shows how big data and the advances in analytical technologies are shaping the way the world is perceived. 2) Designing Data-Intensive Applications by Martin Kleppman. 2) Designing Data-Intensive Applications by Martin Kleppman. Not only is it comprehensive and thorough, but also comprehensible.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Cloudera

FEBRUARY 8, 2021

This blog series follows the manufacturing, operations and sales data for a connected vehicle manufacturer as the data goes through stages and transformations typically experienced in a large manufacturing company on the leading edge of current technology. 1 The enterprise data lifecycle. More Data Collection Resources.

Manufacturing 116

Manufacturing Data Warehouse Sales Predictive Analytics 116