Smart Data Collective

SEPTEMBER 5, 2021

The advances in AI—particularly machine learning (ML)—have made SMS marketing more attractive and accountable as an advertising technique. What’s machine learning? Machine learning is a computer program’s ability to extract information, analyze big data, and learn from it.

Machine Learning 114

Machine Learning Marketing Advertising Statistics 114

Cloudera

FEBRUARY 11, 2022

Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. What is Machine Learning. Instead, they are learned by training a model on data.

Machine Learning 95

Machine Learning Sales Data Science Modeling 95

Smart Data Collective

OCTOBER 8, 2021

Learn how genetic algorithms and machine learning can help hedge fund organizations manage a business. For instance, you want to generate effective AUM, NAV, and share value reports to improve investor confidence as a manager. Modern machine learning and back-testing; how quant hedge funds use it.

Machine Learning 113

Machine Learning Testing Strategy Modeling 113

datapine

JANUARY 21, 2020

Big data plays a crucial role in online data analysis , business information, and intelligent reporting. That’s where business intelligence reporting comes into play – and, indeed, is proving pivotal in empowering organizations to collect data effectively and transform insight into action. What Is BI Reporting?

Business Intelligence 259

Business Intelligence Reporting Cost-Benefit Dashboards 259

BizAcuity

APRIL 1, 2023

AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. In this case, once a customer’s documents are scanned and uploaded, the necessary data is extracted from the key documents and then converted to machine-readable form.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

datapine

SEPTEMBER 6, 2022

1) What Is Content Reporting? 3) Why Is Content Report Analysis Important? 5) Content Reporting Best Practices. Enter modern content reports. What Is Content Reporting? This is no longer the case, thanks to the introduction of modern reporting tools such as interactive dashboards. Table of Contents.

Dashboards 179

Dashboards Reporting ROI Metrics 179

BizAcuity

JANUARY 18, 2023

AML regulations and procedures help organizations identify, monitor, and report suspicious transactions and provide an additional layer of protection against financial crime. How Machine Learning Helps Detect and Prevent AML. optimizing inventory) by identifying trends and gathering insights from large volumes of data.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smart Data Collective

JUNE 3, 2021

Many different industries are becoming more reliant on machine learning. The insurance industry is among those that has found new opportunities to take advantage of machine learning technology. Many of the applications of big data for insurance companies will be realized with machine learning technology.

Insurance 98

Insurance Machine Learning Cost-Benefit Risk 98

IBM Big Data Hub

JULY 5, 2023

However, cloud services costs can be higher than anticipated, so monitoring and optimizing your cloud spend is critical. Cloud cost optimization combines strategies, techniques, best practices and tools to help reduce cloud costs, find the most cost-effective way to run your applications in the cloud environment, and maximize business value.

Optimization 66

Optimization Forecasting ROI Metrics 66

Cloudera

APRIL 9, 2021

The third video in the series highlighted Reporting and Data Visualization. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Reporting – data warehousing & dashboarding. Predictive Analytics – AI & machine learning.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. We will learn what it is, why it is important and how Cloudera Machine Learning (CML) is helping organisations tackle this challenge as part of the broader objective of achieving Ethical AI.

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

BI-Survey

FEBRUARY 6, 2020

Modernizing and optimizing enterprise reporting – or classical BI – has not been such a priority for many of today’s organizations, even though it constitutes the backbone of information supply for decision support. Technological innovations and their increasing proliferation are shaping enterprise reporting and BI.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

Smart Data Collective

JULY 9, 2023

One report found that global e-commerce brands spent over $16.7 One benefit is that they can help with conversion rate optimization. Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. billion on analytics last year.

Optimization 74

Optimization Data Analytics Analytics Data-driven 74

The Unofficial Google Data Science Blog

APRIL 23, 2024

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Rocket-Powered Data Science

JULY 21, 2023

When I reviewed highlights from last year’s Splunk.conf22 conference in my summary report at that time, I focused a lot on the Splunk Observability Cloud and its incredible suite of Observability and Monitoring products and services. automation of the first two type of hunts, using AI and machine learning).

Machine Learning 190

Machine Learning Metrics Reporting Internet of Things 190

Cloudera

SEPTEMBER 10, 2020

Cloudera has been named a Leader in The Forrester Wave : Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. For enterprise machine learning teams, this means having the right platform, tools, and processes that streamline end-to-end ML to tackle once-impossible business challenges effectively and at scale.

Machine Learning 93

Machine Learning Predictive Analytics Analytics Enterprise 93

Smart Data Collective

OCTOBER 30, 2019

Machine learning is changing the future of marketing in many beneficial ways. The Digital Marketing Institute reports that 97% of decision makers believe it is the future of marketing. There are a number of tactics that marketers can pursue to optimize campaigns with machine learning algorithms.

Machine Learning 72

Machine Learning Advertising Big Data Marketing 72

CIO Business Intelligence

MAY 24, 2022

CloudOps is an operations practice for managing the delivery, optimization, and performance of IT services and workloads running in a cloud environment. At a governance layer, we can implement better budgeting and financial tracking and optimization. What is CloudOps? Effective CloudOps [helps] to mitigate this.

Optimization 104

Optimization Cost-Benefit Enterprise Consulting 104

IBM Big Data Hub

APRIL 25, 2023

We also made the case that query and reporting, provided by big data engines such as Presto, need to work with the Spark infrastructure framework to support advanced analytics and complex enterprise data decision-making. Now, let’s chat about why data warehouse optimization is a key value of a data lakehouse strategy.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

AWS Big Data

APRIL 28, 2023

AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning (ML), and application development. One of the most common questions we get from customers is how to effectively monitor and optimize costs on AWS Glue for Spark. For Service , choose Glue.

Optimization 96

Optimization Metrics Interactive Data Integration 96

datapine

NOVEMBER 13, 2019

And procurement reporting is no exception to this. In this article, we will explain the basic definition of procurement reports, talk about the benefits and challenges that occur when dealing with procurement data to provide you with innovative ideas on spotting inefficiencies. What Are Procurement Reports?

Reporting 158

Reporting KPI Cost-Benefit Metrics 158

Business Over Broadway

APRIL 22, 2021

From business analysts and data scientists to machine learning engineers and software developers, these data professionals extract insights from data and use those insights to drive businesses forward. An excellent way to learn about a subject is to ask people involved in that subject. Calling all data professionals.

Machine Learning 58

Machine Learning Data Science Data-driven Reporting 58

CIO Business Intelligence

MAY 21, 2024

The platform includes six core components and uses multiple types of AI, such as generative, machine learning, natural language processing, predictive analytics and others, to deliver results. Epicor Grow FP&A offers embedded financial planning and analysis to enable easy, accurate, and thorough financial reporting.

Forecasting 122

Forecasting Predictive Analytics Machine Learning Data-driven 122

AWS Big Data

MARCH 28, 2024

To optimize the reconciliation process, these users require high performance transformation with the ability to scale on demand, as well as the ability to process variable file sizes ranging from as low as a few MBs to more than 100 GB. For optimal parallelization, the step concurrency is set at 10, allowing 10 steps to run concurrently.

Optimization 81

Optimization IT Big Data Data Processing 81

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Another way of saying this is: given some desired optimal outcome Y, what conditions X should we put in place.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

3AG Systems

JANUARY 2, 2019

You’ve likely been barraged by a seemingly endless stream of data terms: BI technologies, big data techniques, advanced analytics, machine learning and AI. These technologies allow companies to enhance existing skills and optimize existing processes. And despite the hype, you’re probably wondering what the fuss is all about.

Optimization 40

Optimization Reporting Analytics Business Intelligence 40

Smart Data Collective

AUGUST 12, 2019

The search engine optimization profession relies heavily on big data. However, Google isn’t the only company using AI and machine learning in search. He told reporters at Wired that the rest of the web was next. Machine Learning is Changing the Art of Link building. SEO professionals are using AI as well.

Machine Learning 76

Machine Learning Marketing Strategy Publishing 76

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 57

Optimization Forecasting Data-driven Strategy 57

Rocket-Powered Data Science

MAY 21, 2024

And also in the past, it was sufficient for AI to be relegated to academic researchers or R&D departments of big organizations who mostly produced research reports or journal papers, and not much else. Optimizing GenAI Apps with RAG—Pure Storage + NVIDIA for the Win!

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

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

AWS Big Data

FEBRUARY 2, 2023

In this post, we discuss a solution using Amazon Athena to query AWS Cost and Usage Reports and Amazon S3 Inventory reports to analyze the cost by prefixes and objects in an S3 bucket. Enable the Cost and Usage Reports. AWS Billing and Cost Management – Create Cost and Usage Reports. Run queries in Athena.

Reporting 89

Reporting Data Lake Management Optimization 89

3AG Systems

DECEMBER 20, 2018

You’ve likely been barraged by a seemingly endless stream of data terms: BI technologies, big data techniques, advanced analytics, machine learning and AI. These technologies allow companies to enhance existing skills and optimize existing processes. And despite the hype, you’re probably wondering what the fuss is all about.

Optimization 40

Optimization Reporting Analytics Business Intelligence 40

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. This can help organizations to build trust in their data-related workflows, and to drive better outcomes from their data analytics and machine learning initiatives.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

Smarten

JANUARY 24, 2019

What is Automated Machine Learning? Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distribute data across the enterprise and use that data to predict, plan and achieve revenue goals. Take for example, the task of performing predictive analytics.

Machine Learning 40

Machine Learning Predictive Modeling Predictive Analytics Forecasting 40

CIO Business Intelligence

JUNE 2, 2022

Hot technologies for banks also include 5G , natural language processing (NLP) , microservices architecture , and computer vision, according to Forrester’s recent Top Emerging Technologies in Banking In 2022 report. Almost 33% of respondents claim that machine learning can lead to improved customer experience.

Predictive Analytics 144

Predictive Analytics Technology Analytics Machine Learning 144

CIO Business Intelligence

OCTOBER 19, 2023

Power BI’s rich reports or dashboards can be embedded into reporting portals you already use. Its dashboards, reports, and visualizations go far beyond bar and pie charts, but you don’t need to be a designer to create them.

Slice and Dice 123

Slice and Dice Scorecard Metrics Visualization 123

CIO Business Intelligence

FEBRUARY 28, 2024

The rest report being dissatisfied with their overall experience at the institution they attend. Over 75% are thriving and believe their tuition paid is a worthwhile investment, proving a clear link between student satisfaction in higher learning and technology. Artificial Intelligence, Digital Transformation, Machine Learning

Technology 110

Technology Machine Learning Digital Transformation Data-driven 110