Smart Data Collective

JULY 24, 2023

Modern VMS can harness AI to automate routine tasks, analyze vendor performance, predict future outcomes, and assist in making strategic decisions. For instance, an AI-powered VMS could use machine learning algorithms to predict a vendor’s reliability based on historical data, aiding procurement professionals in decision making.

Management 87

Management Cost-Benefit Data-driven Predictive Analytics 87

Cloudera

JUNE 27, 2023

Telcos can correlate data generated by connected devices with existing sources of customer data to identify and predict service outages and disruptions. By using predictive models and machine learning (ML), telcos can reach out to affected customers, suggesting workarounds or offering credits, refunds, and incentives.

Data Architecture 62

Data Architecture Predictive Modeling Data Governance Data-driven 62

CIO Business Intelligence

OCTOBER 5, 2023

As chief digital and technology officer at CBRE, Davé recognized early that the commercial real estate industry was ripe for AI and machine learning enhancements, and he and his team have tested countless use cases across the enterprise ever since. For AI, the high-value quadrant is where you’ll find most predictive modeling.

Experimentation 129

Experimentation Strategy Machine Learning Interactive 129

CIO Business Intelligence

MARCH 22, 2022

Nvidia is hoping to make it easier for CIOs building digital twins and machine learning models to secure enterprise computing, and even to speed the adoption of quantum computing with a range of new hardware and software. Nvidia claims it can do so up to 45,000 times faster than traditional numerical prediction models.

Modeling 138

Modeling Machine Learning Forecasting Optimization 138

CIO Business Intelligence

APRIL 22, 2022

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. TensorFlow is a software library for machine learning used for training and inference of deep neural networks. What is data science?

Data Science 139

Data Science Statistics Machine Learning Visualization 139

DataRobot

APRIL 27, 2021

As organizations start getting back to normal after the COVID-19 pandemic, AI and machine learning is top of mind for many of these leaders. Now this market is looking at embedding AI and machine learning together with automations to drive more end-to-end solutions and tackle those potential use cases that were once thought impossible.

Machine Learning 98

Machine Learning Cost-Benefit Predictive Modeling Software 98

IBM Big Data Hub

MAY 17, 2024

To take one example, AI-facilitated tools like voice navigation promise to upend the way users fundamentally interact with a system. AI models analyze vast amounts of data quickly and accurately. This content includes product descriptions, images, videos and even interactive experiences.

B2B 67

B2B Interactive Optimization Forecasting 67

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. Through interactive dashboards , these tools empower users across various departments to access and interpret data effectively.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

O'Reilly on Data

JUNE 18, 2019

Machine learning solutions for data integration, cleaning, and data generation are beginning to emerge. “AI In this post, we shed some light on various efforts toward generating data for machine learning (ML) models. Machine learning applications rely on three main components: models, data, and compute.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

AWS Big Data

NOVEMBER 10, 2023

This integration expands the possibilities for AWS analytics and machine learning (ML) solutions, making the data warehouse accessible to a broader range of applications. The business opportunity There are 19 predictive models in scope for utilizing 93 features built with AWS Glue across Capitec’s Retail Credit divisions.

Data Processing 96

Data Processing Data Lake Data Warehouse Optimization 96

CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. It offers a bootcamp in data science and machine learning for individuals with experience in Python and coding.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Cloudera

MARCH 21, 2022

There are well-known barriers that slow down predictive modeling or application development. The first step in any machine learning project is finding and getting access to the data store. Cloudera Machine Learning (CML) unblocks Data Scientists and lets them focus on solving their business problems.

Machine Learning 80

Machine Learning Predictive Modeling Data Science Testing 80

Smarten

JUNE 10, 2022

Social BI Tools that allow for sharing of data, alerts, dashboards and interactivity to support decisions, enable online communication and collaboration. Predictive Modeling to support business needs, forecast, and test theories. Assisted Predictive Modeling. Key Performance Indicators (KPIs). Cross-Tab Reporting.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

datapine

AUGUST 14, 2019

Big companies that utilize R in their analytics operations, such as Google, Facebook, and LinkedIn , usually are finance and analytics-driven, as R has proved to be the top mechanism for data analysis, statistics, and machine learning. Learning MATLAB is a great bonus for those who want to pursue a career in (academic) research.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

IBM Big Data Hub

AUGUST 14, 2023

The newly launched IBM Security QRadar Suite offers AI, machine learning (ML) and automation capabilities across its integrated threat detection and response portfolio , which includes EDR , log management and observability, SIEM and SOAR. The ML app helps your system to learn the expected behavior of the users in your network.

Cost-Benefit 58

Cost-Benefit Machine Learning Consulting Data mining 58

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?

Machine Learning 77

Machine Learning Modeling Deep Learning Predictive Modeling 77

IBM Big Data Hub

OCTOBER 16, 2023

It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML). Foundation models can use language, vision and more to affect the real world.

Risk 73

Risk Modeling Management Metadata 73

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal. Computer Science Skills.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

DMBS2

DECEMBER 12, 2017

As I wrote back then in a post about the connection between machine learning and the rest of AI , It is my opinion that most things called “intelligence” — natural and artificial alike — have a great deal to do with pattern recognition and response. Accordingly, it can be reasonable to equate machine learning and AI.

Machine Learning 50

Machine Learning Predictive Modeling Deep Learning Modeling 50

O'Reilly on Data

MARCH 23, 2021

Content creators and content consumers are connected, share information, and develop mental models of the world, along with shared or distinct realities, based on the information they consume. Online spaces are novel forms of community: people who haven’t met and may never meet in real life interacting in cyberspace.

Internet Publishing and Broadcasting 317

Internet Publishing and Broadcasting Broadcasting Data-driven Interactive 317

DataRobot Blog

NOVEMBER 9, 2017

I work for a software company that has built an automated machine learning platform. I’ve spent the last 2+ years working with business analysts and MBA’s to build predictive models. We started offering a course called Data Science, Machine Learning, and AI for Executives a while back, and it’s been very successful.

Machine Learning 52

Machine Learning Data-driven Software Sales 52

AWS Big Data

MARCH 7, 2023

This post also discusses the art of the possible with newer innovations in AWS services around streaming, machine learning (ML), data sharing, and serverless capabilities. It enables you to create interactive dashboards, visualizations, and advanced analytics with ML insights.

Analytics 73

Analytics Data Warehouse Data Lake Metadata 73

The Unofficial Google Data Science Blog

JANUARY 31, 2017

By OMKAR MURALIDHARAN, NIALL CARDIN, TODD PHILLIPS, AMIR NAJMI Given recent advances and interest in machine learning, those of us with traditional statistical training have had occasion to ponder the similarities and differences between the fields. Some branches of machine learning (e.g.

Machine Learning 73

Machine Learning Modeling Statistics Predictive Modeling 73

Smarten

APRIL 19, 2024

Today’s AI models have not reached their true potential and, as these models and products evolve, businesses will undoubtedly embrace the tools to enable productivity, optimize business results and resources and design and implement targeted approaches to personalize outreach to customers, patients, students, and others.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

O'Reilly on Data

SEPTEMBER 19, 2023

” Each step has been a twist on “what if we could write code to interact with a tamper-resistant ledger in real-time?” They’d grown tired of learning what is; now they wanted to know what’s next. Stage 2: Machine learning models Hadoop could kind of do ML, thanks to third-party tools.

Machine Learning 247

Machine Learning Testing Modeling Cost-Benefit 247

DataKitchen

SEPTEMBER 21, 2023

Data in Use pertains explicitly to how data is actively employed in business intelligence tools, predictive models, visualization platforms, and even during export or reverse ETL processes. These applications are where the rubber meets the road and often where customers first encounter data quality issues.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

Insight

MARCH 18, 2019

Bias in Machine Learning Algorithms (Bottom Photos Source: ProPublica ; Top Photos Source: Pexels.com) Biases in predictive modeling are a widespread issue Machine learning and AI applications are used across industries, from recommendation engines to self-driving cars and more.

Machine Learning 77

Machine Learning Predictive Modeling Modeling Metrics 77

O'Reilly on Data

SEPTEMBER 15, 2020

This in turn would increase the platform’s value for users and thus increase engagement, which would result in more eyes to see and interact with ads, which would mean better ROI on ad spend for customers, which would then achieve the goal of increased revenue and customer retention (for business stakeholders). Conclusion.

Cost-Benefit 293

Cost-Benefit Advertising ROI Machine Learning 293

CIO Business Intelligence

AUGUST 15, 2023

The scalable avatar can have hundreds of thousands of conversations individually and simultaneously, and is highly customizable and interactive in real-time, thereby providing an immersive experience for each user. For example, it can learn and use students’ names and provide personalized information.

IT 98

IT Manufacturing IoT Cost-Benefit 98

CIO Business Intelligence

MAY 10, 2022

By applying machine learning to the data, you can better predict customer behavior. Salesforce Interaction Studio. Salesforce Interaction Studio is a personalization and interaction management solution for the Salesforce Marketing Cloud. Types of CDPs. Segment CDP. Treasure Data CDP.

Advertising 118

Advertising Interactive Marketing Data Integration 118

Domino Data Lab

AUGUST 12, 2021

In a previous blog , we have covered how Pandas Profiling can supercharge the data exploration required to bring our data into a predictive modelling phase. We covered the importance of Exploratory Analytics including observing the frequency of missing data and computing interactions of all features. Data in Context.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

Domino Data Lab

JANUARY 21, 2021

Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. Results become the basis for understanding the solution space (or, ‘the realm of the possible’) for a given modeling task. Producing insights from raw data is a time-consuming process.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

DataRobot Blog

JANUARY 10, 2023

Most, if not all, machine learning (ML) models in production today were born in notebooks before they were put into production. The platform has parity with the core Jupyter capabilities, so users are able to onboard without a steep learning curve. Capabilities Beyond Classic Jupyter for End-to-end Experimentation.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

CIO Business Intelligence

JUNE 22, 2022

Despite this, only a handful of organisations interact with all stages of the data life cycle process to truly distill information that distinguishes future-ready businesses from the rest. At the same time, 5G adoption accelerates the Internet of Things (IoT).

IoT 96

IoT IT Manufacturing Internet of Things 96

Data Science and Beyond

JULY 22, 2018

It’s not all about machine learning. Kaggle was only about predictive modelling competitions back then, and so I believed that data science is about using machine learning to build models and deploy them as part of various applications. But what does it mean? What do I actually do here?

Data Science 79

Data Science Machine Learning Statistics Predictive Modeling 79

datapine

MARCH 25, 2022

While some experts try to underline that BA focuses, also, on predictive modeling and advanced statistics to evaluate what will happen in the future, BI is more focused on the present moment of data, making the decision based on current insights. On the other side of things, BA is more technical. You Can’t Always Trust What You See.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Cloudera

NOVEMBER 18, 2020

OVO UnCover enables access to real-time customer data using advanced, intelligent data analytics and machine learning to personalize the customer product interaction experience. The pipeline provides its clinicians fast access to real-time patient data and prediction models.

Internet Publishing and Broadcasting 118

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 118