CIO Business Intelligence

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Bandwidth optimization. This optimization improves efficiency and reduces costs. Edge-based predictive maintenance reduces downtime and improves operational efficiency.

Forecasting 105

Forecasting Optimization Advertising IoT 105

IBM Big Data Hub

AUGUST 7, 2023

Embracing AI for clinical trials: The elements of success By embracing three AI-enabled capabilities, biopharma companies can significantly optimize clinical trial site selection process while developing core AI competencies that can be scaled out and saving financial resources that can be reinvested or redirected.

Optimization 58

Optimization Forecasting Data-driven Strategy 58

Cloudera

OCTOBER 4, 2023

We can also increase effectiveness of preventative maintenance — or move to predictive maintenance — of equipment, reducing the cost of downtime without wasting any value from healthy equipment. We get optimized price/performance on complex workloads over massive scale data. Ready to stop blinking and never miss a beat?

Data Warehouse 84

Data Warehouse Experimentation Cost-Benefit Dashboards 84

Smarten

JANUARY 23, 2024

Forbes states that, ‘AI/ML tools, approaches and algorithms can contribute to finding new business opportunities, market optimization and more effective marketing and sales.’ The use of AI in analytics can be very beneficial today, with the promise of even more benefits in the future.’

Analytics 62

Analytics Machine Learning Cost-Benefit Advertising 62

Jedox

JULY 17, 2018

Many of us already profit from machine learning or artificial intelligence – often without even thinking about it. Finance in its new role, sitting at the center of data analytics, is increasingly expected to deliver the data-driven insights to guide company strategy.

Machine Learning 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

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

IBM Big Data Hub

FEBRUARY 19, 2024

Effective SCM initiatives offer several benefits: Lower operational costs : By optimizing inventory levels , improving warehousing efficiency and streamlining order fulfillment processes, companies can save on storage, labor and transportation expenses.

Strategy 87

Strategy Management Forecasting Cost-Benefit 87

IBM Big Data Hub

APRIL 25, 2024

BPR examples are not one-time projects, but rather examples of a continuous journey of innovation and change focused on optimizing end-to-end processes and eliminating redundancies. This blog outlines some BPR examples that benefit from a BPM methodology.

Cost-Benefit 61

Cost-Benefit Finance Optimization Key Performance Indicator 61

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. AI can help marketers create and optimize content to meet the new standards. What is AI marketing?

Marketing 84

Marketing Technology Advertising ROI 84

IBM Big Data Hub

MAY 17, 2024

Use case 1: AI for modernization and business model expansion AI-powered tools can be incredibly valuable in optimizing and modernizing business operations throughout the customer journey, but it is critical in the commerce continuum. This content includes product descriptions, images, videos and even interactive experiences.

B2B 70

B2B Interactive Optimization Forecasting 70

bridgei2i

FEBRUARY 21, 2020

Deep learning provides an edge over your competition. Forbes predicts that predictive analytics will ensure that companies get a much-needed edge this year. Using machine learning and historical data, future trends and patterns can be predicted depending on your area of concern. Liked this blog?

IoT 83

IoT Analytics Deep Learning B2B 83

Cloudera

JANUARY 5, 2023

Faced with even more pressure to remain resilient and agile amid looming global economic threats, Asia-Pacific (APAC) region businesses are looking to further mobilize emerging technologies such as artificial intelligence (AI) and machine learning that will optimize operational efficiencies and cost savings. .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Cloudera

AUGUST 3, 2021

Advanced analytics and enterprise data empower companies to not only have a completely transparent view of movement of materials and products within their line of sight, but also leverage data from their suppliers to have a holistic view 2-3 tiers deep in the supply chain. Digital Transformation is not without Risk.

Analytics 108

Analytics Digital Transformation Risk Forecasting 108

Smarten

APRIL 25, 2024

Artificial Intelligence (AI) and Machine Learning (ML) elements support Citizen Data Scientists and help users prepare data, achieve automated data insights and create, share and use predictive models.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

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 105

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 105

IBM Big Data Hub

OCTOBER 30, 2023

IBM and AWS partnership focuses on delivering solutions in areas like: Supply chain optimization with AI-infused Planning Analytics IBM Planning Analytics on AWS offers a powerful platform for supply chain optimization, blending IBM’s analytics expertise with AWS’s cloud capabilities.

Insurance 84

Insurance Data Warehouse Data-driven Unstructured Data 84

IBM Big Data Hub

SEPTEMBER 12, 2023

Automation streamlines the root-cause analysis process with machine learning algorithms, anomaly detection techniques and predictive analytics, and it helps identify patterns and anomalies that human operators might miss. This information is vital for capacity planning and performance optimization.

Data-driven 70

Data-driven Cost-Benefit Predictive Analytics Machine Learning 70

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. offers many statistics and machine learning abilities.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

Cloudera

JANUARY 5, 2021

To enable these business capabilities requires an enterprise data platform to process streaming data at high volume and high scale, to manage and monitor diverse edge applications, and provide data scientists with tools to build, test, refine and deploy predictive machine learning models. .

Forecasting 90

Forecasting Cost-Benefit Sales Unstructured Data 90

IBM Big Data Hub

JUNE 29, 2023

Enterprises are constantly looking for new ways to optimize performance, increase reliability and extend asset lifespans—all without adding unnecessary costs. This information is then used to build predictive models of an asset’s performance over time and help spot potential problems before they arise.

Cost-Benefit 85

Cost-Benefit Measurement Management Predictive Analytics 85

Sisense

FEBRUARY 25, 2021

This is where forecasting analytics can be a game-changer in the decision-making process. In a recent webinar , I talked about how one of our customers, a performance theater owner, uses predictive analytics. That makes the data a perfect candidate for predictive analytics driven by vast computational power.

Forecasting 52

Forecasting Analytics Predictive Modeling Machine Learning 52

IBM Big Data Hub

JULY 26, 2023

Digital twin technology, an advancement stemming from the Industrial Internet of Things (IIoT), is reshaping the oil and gas landscape by helping providers streamline asset management, optimize performance and reduce operating costs and unplanned downtime. Drilling operations optimization : Drilling operations are complex and costly.

Technology 56

Technology Cost-Benefit Optimization Internet of Things 56

CIO Business Intelligence

FEBRUARY 14, 2023

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. AI continues to transform customer engagements and interactions with chatbots that use predictive analytics for real-time conversations.

Data Strategy 116

Data Strategy Strategy Machine Learning Data-driven 116

Decision Management Solutions

MAY 1, 2019

In February, we published a blog post on “Using Technology to Add Value in Insurance”. By using decision management technologies like business rules, predictive analytics, machine learning, and artificial intelligence, insurance carriers can increase their straight through processing rates and focus team members on higher value activities.

Insurance 75

Insurance Technology Predictive Analytics Risk 75

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. Clean up with predictive maintenance AI can be used for predictive maintenance by analyzing data directly from machinery to identify problems and flag required maintenance.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

IBM Big Data Hub

JUNE 23, 2023

Perhaps you are using a next-gen Enterprise Resource Planning (ERP) system and an unmatched F&A planning platform that delivers advanced predictive analytics. You may have also deployed the latest cloud-native innovations and improved your operating expenses in the process.

Finance 54

Finance Reporting Digital Transformation Interactive 54

Domino Data Lab

JULY 28, 2021

It is the job of a data scientist to navigate these subtle differences, pick the model that aligns best with the problem statement, optimize and monitor performance and translate the findings back into a business context. The post 3 Key Components of the Interdisciplinary Field of Data Science appeared first on Data Science Blog by Domino.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

DataRobot Blog

NOVEMBER 12, 2019

by Jen Underwood. Why didn’t I think of that? Sometimes we get caught up in our day-to-day lives and don’t stop to see if we are solving the right, bigger picture problems. Read More.

Optimization 61

Optimization Prescriptive Analytics Predictive Analytics Machine Learning 61

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. 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. billion by 2030.

Enterprise 104

Enterprise Interactive Data-driven Key Performance Indicator 104

IBM Big Data Hub

JUNE 29, 2023

This blog explores the significance of IBP in today’s modern business landscape and highlights its key benefits and implementation considerations. Optimal resource allocation Integrated Business Planning enables organizations to optimize resource allocation across different functions. appeared first on IBM Blog.

Key Performance Indicator 81

Key Performance Indicator Forecasting Data Integration Sales 81

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning? temperature, salary).

Machine Learning 80

Machine Learning Modeling Deep Learning Predictive Modeling 80

Smart Data Collective

AUGUST 26, 2021

Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks. But if there’s one technology that has revolutionized weather forecasting, it has to be data analytics.

Forecasting 129

Forecasting Data Analytics Analytics IoT 129

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 59

Cost-Benefit IoT Internet of Things Enterprise 59

BizAcuity

MAY 16, 2022

Such insights can be excellent fuel to marketing strategy, analytics, and campaign optimization. Integrating data through data warehouses and data lakes is one of the standard industry best practices for optimizing business intelligence. Do let us know if you found the blog useful in the comments. Data mining.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Cloudera

JANUARY 29, 2021

But then conflicting information arrives as VentureBeat reports that around 90 percent of machine learning models never make it into production? These insights will deliver dashboards, reports and predictive analytics that drive high-value manufacturing use cases. VP, Cloud, Machine Learning and Field – Cloudera.

Internet of Things 53

Internet of Things Manufacturing ROI Machine Learning 53

Domino Data Lab

JULY 28, 2021

Today, the most advanced techniques used in data science are grouped under the term Artificial Intelligence (AI) Due to their information-acquiring nature, machine learning, deep learning, natural language processing (NLP) and computer vision are all considered branches within the field of AI. None of these techniques are new.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Smart Data Collective

MAY 2, 2019

Relying on predictive analytics and machine learning will significantly enhance any marketing campaign. Big data makes targeting people on social media easier than ever, especially since machine learning tools help optimize your campaigns. This could lower the failure rate for businesses.

Big Data 77

Big Data Marketing Sales Strategy 77