CIO Business Intelligence

JUNE 1, 2022

Cloud-connected cars are now commonplace in the mainstream connected car market that is forecast to surpass $166 billion by 2025. Meanwhile, the digital twin market is set to grow at a 50% compound annual growth rate, reaching $184.5 and artificial intelligence (AI) and machine learning (ML) technologies. .

Manufacturing 119

Manufacturing Digital Transformation Predictive Analytics Strategy 119

CIO Business Intelligence

JULY 20, 2023

From 250 such stores in 2021, the study forecasts the number to touch 12,000 by 2027. From big fashion brands to staples and grocery stores, every retailer is looking to apply algorithms to improve the bottom line, especially in the areas of omnichannel retailing, demand forecasting, and predictive analytics.

Technology 75

Technology Forecasting Advertising Machine Learning 75

CIO Business Intelligence

FEBRUARY 16, 2023

That is the domain of AI and advanced analytics that serve a role beyond just insight and business optimization. The offensive side is how to generate revenue, all of the insights from the historical data that we have collected and, in fact, forecast the trends that are coming,” Iyengar says. The company’s Findability.ai

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

Smart Data Collective

SEPTEMBER 13, 2021

This type of big data is used to forecast and for making the right decisions. Investors cannot use it for long-term forecasting and strategizing. Value investors can use this data to forecast how different markets are going to develop and confirm the stability of the assets of the company. Machine learning uses big data.

Big Data 108

Big Data Forecasting Cost-Benefit Machine Learning 108

IBM Big Data Hub

FEBRUARY 14, 2024

Using machine learning (ML), AI can understand what customers are saying as well as their tone—and can direct them to customer service agents when needed. AIOps is one of the fastest ways to boost ROI from digital transformation investments. See what’s ahead AI can assist with forecasting.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

Jedox

JULY 31, 2018

Part one of our blog series explored how people are the driving force behind the digital transformation and how it is fueled by artificial intelligence and machine learning. Predictive analytics is one aspect of advanced analytics that will be key in driving efficiency and innovation.

Technology 44

Technology Prescriptive Analytics Machine Learning Business Intelligence 44

Sisense

SEPTEMBER 9, 2019

Mark Hopkins is the Chief Information Officer at Park City, Utah based Skullcandy, leading the global IT, Digital, and Customer Service teams. We knew our journey with predictive analytics and sentiment analysis was going to be a gradual progression that would eventually help us understand and better serve our customers.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

IBM Big Data Hub

JULY 27, 2023

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. While still in its early stages, the use of blockchain in EAM is a trend worth watching.

Cost-Benefit 61

Cost-Benefit IoT Internet of Things Enterprise 61

BizAcuity

JUNE 3, 2022

Their seamless digital transformation included having to change the way they operated their stores. As a result, retailers are eyeing leveraging Artificial Intelligence and Machine Learning for highly accurate predictions and studying market behavior. Not if you do not have a reliable strategy in place.

Data Analytics 59

Data Analytics Analytics Forecasting Predictive Analytics 59

CIO Business Intelligence

OCTOBER 4, 2022

Business leaders, recognizing the importance of elevated customer experiences, are looking to the CIO and their IT teams to help harness the power of data, predictive analytics, and cloud resources to create more engaging, seamless experiences for customers. 3 ways CIOs can help the business raise the bar on CX.

Data-driven 111

Data-driven Machine Learning Interactive Predictive Analytics 111

CIO Business Intelligence

JANUARY 12, 2024

And a lot of that comes down to the vast amounts of customer data CRM systems contain and their capabilities for pulling insights from that data through AI and machine learning — functionality that is becoming increasingly vital for enterprises across nearly every industry. I get a little bit of a crystal ball.”

Sales 128

Sales Marketing Data-driven Interactive 128

BizAcuity

MARCH 31, 2022

Gaming companies use AI for segmenting players and predicting churn rates in order to retain them through effective campaigns. Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Cloudera

FEBRUARY 3, 2021

With streaming data, analytics, machine learning, and the cloud, organizations can increase operational efficiency and better manage supply chain creation, as well as disruption. This is, in turn, causing a mismatch between demand forecasting and supply replenishment. McKinsey defines Supply Chain 4.0 Supply Chain 4.0

Manufacturing 106

Manufacturing Forecasting Internet of Things Risk 106

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. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

IBM Big Data Hub

JUNE 14, 2023

Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g., Using advanced data analytics techniques, predictive analytics can help identify inefficiencies, bottlenecks and quality issues proactively.

Manufacturing 79

Manufacturing Technology Internet of Things Cost-Benefit 79

Cloudera

FEBRUARY 8, 2021

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. Reporting – delivering business insight (sales analysis and forecasting, budgeting as examples). This is part 2 in this blog series.

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

JUNE 8, 2023

Companies with a modern data architecture and robust BI adoption not only gain immediate competitive advantage, they are positioned to move even further ahead by adopting real-time decisioning practices and predictive analytics, the next steps in digital transformation.

Business Intelligence 68

Business Intelligence Enterprise Dashboards Digital Transformation 68

Alation

JANUARY 27, 2022

Modern businesses are increasingly leveraging analytics for a range of use cases. Analytics can help a business improve customer relationships, optimize advertising campaigns, develop new products, and much more. As an organization embraces digital transformation , more data is available to inform decisions.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Andrew White

JANUARY 11, 2021

The data suggests several things: The work of traditional analytics and BI continues towards democratization in the business unit directly, we call this domain analytics in our research, part of domain D&A. Yes, prescriptive and predictive analytics remain very popular with clients.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52