David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

Data Science 319

Data Science Data Lake Data mining Deep Learning 319

CIO Business Intelligence

OCTOBER 4, 2022

From delightful consumer experiences to attacking fuel costs and carbon emissions in the global supply chain, real-time data and machine learning (ML) work together to power apps that change industries. more machine learning use casesacross the company. By Bryan Kirschner, Vice President, Strategy at DataStax.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

BizAcuity

APRIL 1, 2023

1] With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

BizAcuity

JANUARY 18, 2023

With the rise of Big Data in today’s world, Machine Learning (ML) is popularly used to identify, assess, and monitor financial risks as well as detect various suspicious activities and transactions. How Machine Learning Helps Detect and Prevent AML. Predictive Analytics. Exploratory Data Analysis (EDA).

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Cloudera

APRIL 9, 2021

And this blog will focus on Predictive Analytics. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Predictive Analytics – AI & machine learning. Data Collection – streaming data. Security & Governance.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is machine learning? This post will dive deeper into the nuances of each field.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Smart Data Collective

JULY 9, 2023

billion on analytics last year. There are many ways that data analytics can help e-commerce companies succeed. One benefit is that they can help with conversion rate optimization. By leveraging these tools, you can better understand your website visitors and make informed decisions to optimize your conversion rate further.

Optimization 71

Optimization Data Analytics Analytics Data-driven 71

Sisense

FEBRUARY 18, 2021

Predictions like those, indeed predictive analytics itself, rely on a deep understanding of the past and present, expressed by data. New to the idea of predictive analytics? Defining predictive analytics. Predictive analytics use data to create an outline of the future.

Predictive Analytics 66

Predictive Analytics Business Intelligence Analytics Manufacturing 66

CIO Business Intelligence

JANUARY 19, 2024

The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more. It’s a fundamentals exam, so you don’t need extensive experience to pass.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

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. Dell Technologies is leading the way with the technology needed to build a future-ready, optimized edge.

Forecasting 93

Forecasting Optimization Advertising IoT 93

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 77

Optimization Marketing Big Data Machine Learning 77

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

Smarten

DECEMBER 17, 2018

Tools like Assisted Predictive Modeling allow the average business user to become a Citizen Data Scientist with tools that offer guidance and auto-suggestions to help the user arrive at the outcome they need without being frustrated or having to call in an army of analysts and IT staff to help them complete their analysis.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Statistics 40

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 60

Optimization Forecasting Data-driven Strategy 60

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps is a term that refers to the set of practices and tools that organizations use to improve the quality and speed of data analytics and machine learning. ChatGPT> DataOps observability is a critical aspect of modern data analytics and machine learning.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

Smart Data Collective

APRIL 20, 2023

Optimizing Bill Of Materials Bill of materials (BOM) is crucial to every factory’s production process. With AI, a business can optimize its BOM to improve its bottom line effectively. AIs can do this by taking advantage of machine learning algorithms. AIs can do this by taking advantage of machine learning algorithms.

Cost-Benefit 82

Cost-Benefit Predictive Analytics Optimization Machine Learning 82

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. Machine Learning and Predictive Modeling of Customer Churn. The more data they ingest, the better they get.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

CIO Business Intelligence

JULY 5, 2022

BI focuses on descriptive analytics, data collection, data storage, knowledge management, and data analysis to evaluate past business data and better understand currently known information. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward. Business analytics techniques.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

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

Smart Data Collective

JUNE 18, 2019

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. SEOs that use machine learning can partially reverse engineer these algorithms. How does big data come into play?

Data Processing 69

Data Processing Big Data Optimization Machine Learning 69

Smart Data Collective

AUGUST 15, 2019

Here are some ways AI is transforming PPC : Machine learning tools help you identify the bids that are going to get the most traffic. AI can predict the CTR of future ads, as well as the impact on quality scores. Machine learning and predictive analytics are changing the field of PPC in fantastic ways.

Optimization 64

Optimization Strategy Advertising Machine Learning 64

Decision Management Solutions

SEPTEMBER 13, 2022

It ensures they maximize the value of business rules products and it’s super-effective at applying machine learning and similar technologies to improve business operations. I invite you to check out our training page to learn more about the classes and if you’re interested in registering, we would like to pass on a discount to you.

Machine Learning 52

Machine Learning Modeling Predictive Analytics Business Analysis 52

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

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 46

Machine Learning Technology Digital Transformation Predictive Analytics 46

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

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 83

Data Warehouse Experimentation Cost-Benefit Dashboards 83

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 88

Strategy Management Forecasting Cost-Benefit 88

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. “We

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. The exam consists of 40 questions and the candidate has 120 minutes to complete it.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

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

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 54

Cost-Benefit Finance Optimization Key Performance Indicator 54

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

JULY 20, 2023

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. Moreover, investing more time with a product increases their familiarity with your brand.

Technology 75

Technology Forecasting Advertising Machine Learning 75

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 107

Analytics Digital Transformation Risk Forecasting 107

Smart Data Collective

NOVEMBER 18, 2020

Then artificial intelligence advances became more widely used, which made it possible to include optimization and informatics in analysis methods. Machine learning. Computers learn to act on their own, we no longer need to write detailed instructions to complete certain tasks. Where to Use Data Science?

Data mining 142

Data mining Data Science Informatics Statistics 142

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 86

Marketing Technology Advertising ROI 86

CIO Business Intelligence

NOVEMBER 14, 2022

Decision intelligence seeks to update and reinvent decision support systems with a sophisticated mix of tools including artificial intelligence (AI) and machine learning (ML) to help automate decision-making. These DSS include systems that use accounting and financial models, representational models, and optimization models.

Data mining 144

Data mining Data-driven Statistics OLAP 144