Smart Data Collective

SEPTEMBER 24, 2019

A new generation of robots depend on machine learning technology. Machine learning has made them more responsive and boosted their capabilities in countless ways. However, many college robotics programs don’t provide a sufficient primer that covers the fundamentals of machine learning.

Machine Learning 95

Machine Learning Cost-Benefit Predictive Analytics Software 95

Smart Data Collective

DECEMBER 5, 2019

In June, Aviation Today published a great article on the state of machine learning and AI in the airline industry. The article showed that machine learning and AI are helping the industry become more lucrative in the 21 st Century. Machine Learning is the Key to Saving the Ailing Airline Industry.

Machine Learning 94

Machine Learning Cost-Benefit Strategy Insurance 94

Decision Management Solutions

JULY 16, 2021

By fusing business and technology in the digital age, the automation of digitized decision making or Digital Decisioning integrates analysis methods that go beyond data-driven to integrate data with predictive analytics and support for AI applications. Download the book summary flyer in Japanese here. eBook available at: [link].

Data-driven 59

Data-driven Predictive Analytics Machine Learning Interactive 59

Smart Data Collective

DECEMBER 2, 2019

Travel booking is only one of the areas being heavily automated by machine learning algorithms. There are many sites available today which helps its users to book cheap flights using analytics. Convenience is everything when it comes to customer service and experience.

Big Data 145

Big Data Machine Learning Forecasting Data Science 145

Smart Data Collective

NOVEMBER 18, 2020

Data Science is used in different areas of our life and can help companies to deal with the following situations: Using predictive analytics to prevent fraud Using machine learning to streamline marketing practices Using data analytics to create more effective actuarial processes. Machine learning.

Data mining 144

Data mining Data Science Informatics Statistics 144

datapine

NOVEMBER 19, 2019

An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

APRIL 8, 2024

In the years since author Michael Lewis popularized sabermetrics in his 2003 book, Moneyball: The Art of Winning an Unfair Game , sports analytics has evolved considerably beyond baseball. Computer vision, AI, and machine learning (ML) all now play a role.

Analytics 118

Analytics Broadcasting Predictive Analytics Machine Learning 118

datapine

MARCH 31, 2022

To help you with your studies, you can start here with a list of the best SQL books that will help you take your skills to the next level. This could involve anything from learning SQL to buying some textbooks on data warehouses. Even if you are more of a front-end BI professional, you’ll need to know SQL and how to use it.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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

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. Types of decision support system In the book Decision Support Systems: Concepts and Resources for Managers , Daniel J.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Decision Management Solutions

DECEMBER 18, 2019

As we approach the end of the year, our friends over at the International Institute for Analytics (IIA) are re-tweeting some of their best content. Tom’s numbers – one in 8 or so – are in line with other studies we have seen across predictive analytics, machine learning and AI more broadly (like this one by McKinsey ).

Machine Learning 67

Machine Learning Predictive Analytics Modeling Analytics 67

Decision Management Solutions

FEBRUARY 26, 2020

The International Institute for Analytics (I’m a faculty member) recently hosted me for a webinar on Digital Decisioning: Driving Business Value from Advanced Analytics, Machine Learning and AI. A few key tips: It’s easy to spend money on AI and Machine Learning. It’s much harder to deliver value.

Machine Learning 45

Machine Learning Analytics Data Processing Management 45

Decision Management Solutions

JANUARY 24, 2020

Digital decisioning is a way to deliver smarter, simpler and more dynamic processes while effectively applying predictive analytics, machine learning and AI – not to the process itself, but to the critical decisions on which the process relies. What are the best resources to learn those skills?

Machine Learning 67

Machine Learning Predictive Analytics Data-driven Management 67

IBM Big Data Hub

JUNE 5, 2024

That’s why today’s application analytics platforms rely on artificial intelligence (AI) and machine learning (ML) technology to sift through big data, provide valuable business insights and deliver superior data observability. What are application analytics? Predictive analytics.

Analytics 79

Analytics Predictive Analytics Unstructured Data Machine Learning 79

Decision Management Solutions

AUGUST 18, 2020

DDPs accomplish this by providing a suite of capabilities that enable business subject-matter experts to define decision logic, incorporate data-driven decision intelligence technologies such as machine learning (ML), govern change, and deploy digital decisions within business applications. Does that change the offers we make?

Machine Learning 88

Machine Learning Data-driven Descriptive Analytics Predictive Analytics 88

Cloudera

FEBRUARY 3, 2021

With streaming data, analytics, machine learning, and the cloud, organizations can increase operational efficiency and better manage supply chain creation, as well as disruption. Capacity on planes and with ground transportation has been booked, and, of course, this was all done in the absence of the vaccine itself.

Manufacturing 107

Manufacturing Forecasting Internet of Things Risk 107

Domino Data Lab

JUNE 2, 2019

Secondly, I talked backstage with Michelle, who got into the field by working on machine learning projects, though recently she led data infrastructure supporting data science teams. Just doing machine learning is not enough, and sometimes not even necessary.”. First off, her slides are fantastic! Nick Elprin.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

Smart Data Collective

NOVEMBER 12, 2021

Companies have found that data analytics and machine learning can help them in numerous ways. Instead, your area of expertise could be selling books, providing insurance, or creating jewelry. One of the other benefits of data analytics is that it can help forecast future business activity.

Data-driven 128

Data-driven Cost-Benefit Data mining Big Data 128

Sisense

JUNE 30, 2020

When BI and analytics users want to see analytics results, and learn from them quickly, they rely on data visualizations. Predictive analytics is the most beneficial, but arguably the most complex type. Her debut novel, The Book of Jeremiah , was published in 2019.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Cloudera

MARCH 18, 2021

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. A revised boundary between the trading book and banking book. A machine learning ops framework that supports regular backtesting and P&L on attribution testing.

Machine Learning 55

Machine Learning Risk Risk Management Measurement 55

IBM Big Data Hub

FEBRUARY 12, 2024

And thanks to online metrics, specific customer feedback, and data analytics, these retailers had more information about their customers than ever before. Look at Amazon, which started with books and moved into virtually everything else. Increasingly organizations expanded what they offered.

Data-driven 92

Data-driven Manufacturing Advertising Consulting 92

DataRobot Blog

SEPTEMBER 22, 2022

After a successful Proof of Value, French insurance giant Matmut was able to automate its manual predictive analytics process using DataRobot AI Cloud. Use this link to book a 1:1 meeting with the DataRobot team onsite. Book a 1:1 Meeting with the DataRobot Team at Big Data & AI Paris. Book a Meeting.

Big Data 52

Big Data Insurance Experimentation Data Science 52

Data Science 101

OCTOBER 31, 2019

A definition from the book ‘Data Mining: Practical Machine Learning Tools and Techniques’, written by, Ian Witten and Eibe Frank describes Data mining as follows: “ Data mining is the extraction of implicit, previously unknown, and potentially useful information from data. Regression.

Data mining 77

Data mining KDD Data Science Forecasting 77

FineReport

JUNE 7, 2024

FineReport : Enterprise-Level Reporting and Dashboard Software Try FineReport Now In 2024, FanRuan continues to push boundaries with groundbreaking advancements in AI-driven analytics and real-time data analytics processing. Elevate your data transformation journey with Dataiku’s comprehensive suite of solutions.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

CIO Business Intelligence

JULY 21, 2023

At the forefront of these solutions is the development of advanced software and mobile applications, designed for real-time tracking, streamlined booking, and effective data-driven management of transportation services. The technology stack required is multilayered and versatile.

Digital Transformation 98

Digital Transformation Cost-Benefit Data-driven Software 98

Jet Global

OCTOBER 16, 2019

Think of it as trilogy and we’re only in book one. As we make our way to the end book one, robotic process automation becomes the protagonist (automating and speeding-up data entry tasks). As we make our way to the end book one, robotic process automation becomes the protagonist (automating and speeding-up data entry tasks).

Finance 58

Finance Data-driven Reporting Digital Transformation 58

Decision Management Solutions

DECEMBER 12, 2018

Three predictions, however, touched on our work around Decision Management, including some of the research I have done as a faculty member for IIA such as this on Framing Requirements for Predictive Analytic Projects with Decision Modeling. Merge AI and Analytics.

Analytics 40

Analytics Predictive Analytics Modeling Data Science 40

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 55

Cost-Benefit IoT Internet of Things Enterprise 55

Alation

MAY 2, 2023

Data analytics is the process of collecting, analyzing, and using data to gain insights and make informed decisions that can improve the operations and profitability of hotels, resorts, restaurants, and other businesses in the hospitality industry. Meanwhile, predictive analytics enable them to analyze customer market trends.

Data Analytics 52

Data Analytics Analytics ROI Data-driven 52

IBM Big Data Hub

JULY 26, 2023

The twin will continuously collect data from the physical asset and use predictive analytics and machine learning (ML) algorithms to predict future performance. By constantly monitoring equipment performance and comparing it to virtual counterparts, operators can predict potential failures or breakdowns.

Technology 52

Technology Cost-Benefit Optimization Internet of Things 52

Ontotext

SEPTEMBER 2, 2020

Knowledge graphs enable content, data and knowledge-centric enterprises to improve repeated monetization of their assets by optimizing their reuse and repurposing as well as creating new products such as books, apps, reports, journal articles, content, and data feeds.

Insurance 72

Insurance Metadata Publishing Unstructured Data 72

Alation

MAY 2, 2023

Data analytics is the process of collecting, analyzing, and using data to gain insights and make informed decisions that can improve the operations and profitability of hotels, resorts, restaurants, and other businesses in the hospitality industry. Meanwhile, predictive analytics enable them to analyze customer market trends.

Data Analytics 40

Data Analytics Analytics ROI Data-driven 40

IBM Big Data Hub

APRIL 25, 2024

The methodology gained prominence with the publication of a 1990 article in the Harvard Business Review, “Reengineering Work: Don’t Automate, Obliterate,” by Michael Hammer, and the 1993 book by Hammer and James Champy, Reengineering the Corporation.

Cost-Benefit 57

Cost-Benefit Finance Optimization Key Performance Indicator 57

Smarten

APRIL 19, 2022

They can analyze how product opinions change over time and understand sentiments to improve the response to product reviews, movie or book reviews, advertising campaigns, Amazon product reviews, social media tweets and comments, news headlines media content, and more.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

FineReport

APRIL 25, 2024

Project Dashboard created by FineReport Book A Demo Moreover, a deep understanding of data is fundamental for success in data visualization jobs. Embracing continuous learning and growth not only enhances your expertise but also positions you as a valuable asset in this dynamic industry.

Visualization 52

Visualization Data-driven Dashboards Interactive 52

Alation

MARCH 21, 2023

Why is data analytics important for travel organizations? Seasonality and trend predictions Many online travel companies use dynamic and flexible pricing strategies to respond to changes in demand and supply.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

FineReport

APRIL 26, 2023

Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. This is why big tech companies are switching to Spark as it is highly suitable for machine learning and artificial intelligence.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52