Smart Data Collective

MAY 22, 2019

Marketers can significantly benefit from using big data to optimize their strategies on visual social networks. The problem is not that big data can’t help marketers optimize their strategies on these visual social media platforms. Using machine learning to develop more engaging pictures.

Optimization 78

Optimization Marketing Big Data Machine Learning 78

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. To do so they require data, which is in no shortage.

Optimization 62

Optimization Forecasting Data-driven Strategy 62

CIO Business Intelligence

SEPTEMBER 19, 2023

Organizations all around the globe are implementing AI in a variety of ways to streamline processes, optimize costs, prevent human error, assist customers, manage IT systems, and alleviate repetitive tasks, among other uses. And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results. The more data they ingest, the better they get.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Smart Data Collective

JUNE 18, 2019

Big data is a very important part of any digital marketing strategy. There are a number of reasons that machine learning, data analytics and Hadoop technology are changing SEO: Machine learning is becoming more widely used in search engine algorithms. One is the evolution of predictive analytics.

Data Processing 70

Data Processing Big Data Optimization Machine Learning 70

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. The purpose of BPR is to streamline workflows , eliminate unnecessary steps and improve resource utilization.

Cost-Benefit 64

Cost-Benefit Finance Optimization Key Performance Indicator 64

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. Tune in to learn more.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

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

CIO Business Intelligence

JUNE 1, 2022

For businesses like the McLaren Group, these two trends are at the core of the conglomerate’s digital transformation and competitive strategy, on and off the track. . and artificial intelligence (AI) and machine learning (ML) technologies. . Predictive analytics can foretell a breakdown before it happens.

Manufacturing 119

Manufacturing Digital Transformation Predictive Analytics Strategy 119

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

CIO Business Intelligence

JANUARY 15, 2024

It uses Google Cloud’s Vertex AI machine learning platform to power a natural language chat interface that enables retail staff to explore inventory information. Its SaaS-based Shrink Analyzer application uses a combination of RFID tags, computer vision linked to in-store CCTV, and analytics to help retailers identify causes of loss.

Sales 105

Sales Software Forecasting Statistics 105

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

OCTOBER 1, 2022

The digital transformation of P&G’s manufacturing platform will enable the company to check product quality in real-time directly on the production line, maximize the resiliency of equipment while avoiding waste, and optimize the use of energy and water in manufacturing plants. Smart manufacturing at scale is a challenge.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

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 is why asset reliability is such a critical component of business strategy. Before we dive into it, let’s take a look at some relevant terms. What is an asset?

Cost-Benefit 89

Cost-Benefit Measurement Management Predictive Analytics 89

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 88

Marketing Technology Advertising ROI 88

datapine

AUGUST 14, 2019

Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. But being an inquisitive Sherlock Holmes of data is no easy task. Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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. Experience building strategies like these have been  used by online retailers for years.

B2B 44

B2B Interactive Optimization Forecasting 44

CIO Business Intelligence

JULY 20, 2023

To offer customers a shopping experience that is accessible, seamless, and engaging, retail IT leaders must devise revenue-focused strategies that, harness cutting-edge technology to address present and future needs of the business. Moreover, investing more time with a product increases their familiarity with your brand.

Technology 75

Technology Forecasting Advertising Machine Learning 75

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 59

Technology Cost-Benefit Optimization Internet of Things 59

Smart Data Collective

DECEMBER 22, 2020

The company uses predictive analytics and other big data tools. Use Data Analytics to Find Longer Keyword Phrases to Target Consumers Who Are Ready to Buy. We have previously talked about the benefits of data analytics and machine learning for keyword research. Its customers can leverage the same technology.

Data-driven 120

Data-driven Sales Advertising Big Data 120

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 109

Analytics Digital Transformation Risk Forecasting 109

CIO Business Intelligence

JULY 31, 2023

To keep up with the unsettling pace, Swiss Re, one of the world’s largest reinsurers, now leverages predictive analytics, machine learning (ML), and artificial intelligence (AI) to help its clients anticipate disasters and mitigate costs. “If First there’s pre-NatCat planning for an effective response strategy.

Insurance 98

Insurance Strategy Modeling Data-driven 98

Smart Data Collective

JUNE 8, 2023

Sports leagues and teams are using analytics to estimate turn out at various sporting events, predict the performance of individual athletes, identify ways that athletes can improve their performance and improve marketing strategies. We have mentioned that golf players have used data analytics to improve performance.

Data Analytics 83

Data Analytics Analytics Data Collection Statistics 83

bridgei2i

FEBRUARY 21, 2020

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. AI Adoption is becoming increasingly rampant among B2B companies.

IoT 83

IoT Analytics Deep Learning B2B 83

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smart Data Collective

MAY 3, 2022

In order to appreciate the benefits of using big data for optimizing prices, companies must recognize the merits of creating the right price point in the first place. Then they will find ways to track prices with analytics and adapt their pricing strategy accordingly. How Can Data Analytics Help with Creating a Pricing Strategy?

Data Analytics 90

Data Analytics Analytics Big Data Sales 90

CIO Business Intelligence

FEBRUARY 16, 2023

For that, he relied on a defensive and offensive metaphor for his data strategy. That is the domain of AI and advanced analytics that serve a role beyond just insight and business optimization. We have a learning curve at our end to build the right skill set within us.” The offensive side? The company’s Findability.ai

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

Occam's Razor

MARCH 23, 2021

Finally, few analytics teams obsess about predictive analytics in a way that allows them to dictate future action. This time around, my goal was for the analytics team to chart a very different path… To solve for expansive influence, before, during, after, money is spent by the organization. The slow music.

Analytics 131

Analytics Scorecard Strategy Testing 131

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 108

Enterprise Interactive Data-driven Key Performance Indicator 108

Smart Data Collective

MARCH 30, 2022

While there is no debating the huge benefits that analytics technology brings to the ecommerce sector , many experts are pondering what those actual benefits are. New ecommerce startups are discovering interesting ways to utilize analytics. Those that have a solid strategy predicated on it will have a higher ROI.

Analytics 116

Analytics Cost-Benefit Testing Dashboards 116

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. Customer-facing AI use cases Deliver superior customer service Customers can now be assisted in real time with conversational AI.

Cost-Benefit 90

Cost-Benefit Insurance Unstructured Data Machine Learning 90

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. These changes often personify themselves as square roots, lambdas or inverted matrices.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

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 57

Finance Reporting Digital Transformation Interactive 57

Decision Management Solutions

MAY 1, 2019

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

Smart Data Collective

NOVEMBER 12, 2021

Companies have found that data analytics and machine learning can help them in numerous ways. Big data has helped companies identify promising cost-saving measures, recruit the best talent, optimize their marketing strategies and realize many other benefits. However, the converse approach can also be useful.

Data-driven 104

Data-driven Cost-Benefit Data mining Big Data 104

IBM Big Data Hub

JUNE 29, 2023

By having real-time data at their fingertips, decision-makers can adjust their strategies, allocate resources accordingly, and capitalize on the unexpected spike in demand, ensuring customer satisfaction while maximizing revenue. IBP allows organizations to quickly adapt to market shifts, demand fluctuations, and emerging opportunities.

Key Performance Indicator 86

Key Performance Indicator Forecasting Data Integration Sales 86

Smart Data Collective

APRIL 18, 2019

Big data plays a big role in offline branding strategies, such as sticker marketing. It is surprising how many of our colleagues seem to think that big data is only viable for online branding strategies. However, this does not mean that there aren’t ways to utilize big data for traditional branding strategies as well.

Big Data 96

Big Data Marketing Visualization Strategy 96