Analytics Vidhya

APRIL 28, 2023

Introduction Welcome to the revolutionary DataHour sessions, where you can elevate your understanding of data-driven technologies, including Data Science, to the next level. Bid farewell to tedious sessions which put you to sleep as we introduce a refreshing approach to learning.

Machine Learning 276

Machine Learning Data-driven Data Science Modeling 276

Analytics Vidhya

JUNE 17, 2023

Data science is a game-changer for marketing professionals in today’s digital age. With vast amounts of data available, marketers now have the power to unlock valuable insights and make data-driven decisions that drive business growth. appeared first on Analytics Vidhya.

Data Science 312

Data Science Marketing Predictive Modeling Statistics 312

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. Data architecture coherence. more machine learning use casesacross the company.

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

Dataiku

MARCH 26, 2024

In today's data-driven landscape, businesses are increasingly relying on AI and machine learning (ML) to gain insights, make predictions, and automate processes. to understand the nuances behind model optimization, particularly the concept of fine-tuning.

Modeling 75

Modeling Machine Learning Data-driven Optimization 75

Analytics Vidhya

NOVEMBER 7, 2022

This article was published as a part of the Data Science Blogathon. Introduction Deep learning is a branch of machine learning inspired by the brain’s ability to learn. It is a data-driven approach to learning that can automatically extract features from data and build models to make predictions.

Deep Learning 362

Deep Learning Machine Learning Data-driven Data Science 362

Smart Data Collective

JUNE 24, 2023

Fortunately, new advances in machine learning technology can help mitigate many of these risks. Therefore, you will want to make sure that your cryptocurrency wallet or service is protected by machine learning technology. In 2018, researchers used data mining and machine learning to detect Ponzi schemes in Ethereum.

Machine Learning 77

Machine Learning Broadcasting Risk Data mining 77

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 data science? What is machine learning?

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Machine Learning Data Science Statistics Deep Learning 54

DataRobot Blog

JANUARY 17, 2023

As a data scientist, one of the best things about working with DataRobot customers is the sheer variety of highly interesting questions that come up. Peek into our conversation to learn when machine learning does—and doesn’t—work well in financial markets use cases. For price discovery (e.g., For price discovery (e.g.,

Machine Learning 87

Machine Learning Marketing Experimentation Modeling 87

Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Smart Data Collective

AUGUST 31, 2020

Big data is the lifeblood of modern app development. App developers should also use data analytics to maximize their monetization opportunities. They are embracing new big data initiatives to find the best opportunities. They are embracing new big data initiatives to find the best opportunities. Ads Monetization Model.

Data-driven 102

Data-driven Modeling Advertising Big Data 102

David Menninger's Analyst Perspectives

MAY 17, 2023

First, the amount of data they can collect and store has increased dramatically while the cost of analyzing these large amounts of data has decreased dramatically. Data-driven organizations need to process data in real time which requires AI. Nearly 9 in 10 organizations use or plan to adopt AI technology.

Modeling 144

Modeling Experimentation Data-driven Business Intelligence 144

CIO Business Intelligence

JUNE 7, 2024

-based company, which claims to be the top-ranked supplier of renewable energy sales to corporations, turned to machine learning to help forecast renewable asset output, while establishing an automation framework for streamlining the company’s operations in servicing the renewable energy market.

IT 126

IT Forecasting Machine Learning Modeling 126

IBM Big Data Hub

OCTOBER 16, 2023

Machine learning (ML)—the artificial intelligence (AI) subfield in which machines learn from datasets and past experiences by recognizing patterns and generating predictions—is a $21 billion global industry projected to become a $209 billion industry by 2029.

Machine Learning 49

Machine Learning Marketing Forecasting Modeling 49

Smart Data Collective

FEBRUARY 4, 2021

Machine learning is among the biggest disruptive technologies to ever impact the field of online commerce. What changes can many brands in the e-commerce sector expect to witness from new developments in big data and machine learning ? What are the benefits of using machine learning to help set up an online store?

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Machine Learning Sales Data-driven Big Data 93

Smart Data Collective

AUGUST 17, 2021

Big data has been a very important part of modern human resource solutions. One of the biggest implications of big data in human resources has pertained to enterprise workflow management. Data analytics technology can help bolster efficiency in all of these regards. Using Data Analytics to Improve Workflow Management.

Data-driven 119

Data-driven Optimization Enterprise Cost-Benefit 119

Smart Data Collective

AUGUST 20, 2021

As we said in the past, big data and machine learning technology can be invaluable in the realm of software development. Machine learning technology has become a lot more important in the app development profession. Machine learning can be surprisingly useful when it comes to monetizing apps.

Machine Learning 87

Machine Learning Data mining Advertising Deep Learning 87

Smart Data Collective

AUGUST 22, 2021

Data analytics has been very important for the FDA. They have used big data in many of their regulatory approaches. Big data has been instrumental in the software development process. The FDA has used data analytics technology to streamline their process and drastically reduce the risk of missing anything pertinent.

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Data-driven Software Manufacturing Big Data 129

Ontotext

MARCH 20, 2024

In today’s data-driven world, businesses are drowning in a sea of information. Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. Unleashing the Power of Data Connections Zenia Graph isn’t just another data solution company.

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Data-driven Strategy Sales Data Integration 52

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

Rocket-Powered Data Science

FEBRUARY 15, 2023

While generative AI has been around for several years , the arrival of ChatGPT (a conversational AI tool for all business occasions, built and trained from large language models) has been like a brilliant torch brought into a dark room, illuminating many previously unseen opportunities.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

Smart Data Collective

APRIL 22, 2020

Big data has turned the software industry on its head. The relationship between software development and big data is a two-way street. While many software developers are looking to create new applications that use big data, they are also using big data to streamline development.

Data-driven 91

Data-driven Software Big Data Testing 91

David Menninger's Analyst Perspectives

APRIL 14, 2021

Organizations are becoming more and more data-driven and are looking for ways to accelerate the usage of artificial intelligence and machine learning (AI/ML). Developing and deploying AI/ML models can be complicated in many ways, often involving different tools and services to manage these solutions from end to end.

Machine Learning 261

Machine Learning Data-driven Software Modeling 261

Decision Management Solutions

JUNE 21, 2021

This quote from Forrester succinctly states why machine learning (ML) projects often never progress beyond the pilot stage—a common form of “purgatory” and a topic I presented recently at this year’s Machine Learning Week. Step away from the data! You must put decisions, not data, first, to succeed with ML.

Machine Learning 52

Machine Learning Data-driven Modeling Software 52

Cloudera

MAY 30, 2024

The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. What are some of the reasons that TAI Solutions’ customers choose Cloudera?

Data Analytics 81

Data Analytics Risk Management Digital Transformation Analytics 81

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. However, there are a lot of other benefits of big data that have not gotten as much attention. Global companies spent over $92.5

Data-driven 103

Data-driven Cost-Benefit Data mining Big Data 103

Smart Data Collective

DECEMBER 17, 2021

Marketing Analytics is the process of analyzing marketing data to determine the effectiveness of different marketing activities. The process of Marketing Analytics consists of data collection, data analysis, and action plan development. Types of Data Used in Marketing Analytics. Types of Data Used in Marketing Analytics.

Marketing Analytics 93

Marketing Analytics Marketing Data-driven Analytics 93

Decision Management Solutions

DECEMBER 8, 2020

Enterprises today are eager to apply machine learning to improve their operations. Machine learning can improve operations, but only when its predictive models are deployed, integrated, and—most importantly—acted upon. Take a decision-centric and business-focused approach to machine learning projects.

Machine Learning 52

Machine Learning Data mining Predictive Modeling Data-driven 52

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. When business decisions are made based on bad models, the consequences can be severe. What is a model?

Risk 111

Risk Modeling IT Risk Management 111

Decision Management Solutions

AUGUST 8, 2019

Trust is a big deal when it comes to machine learning. Black box” algorithms, concerns about bias and a sense that data scientists may know everything about the data but nothing about the business all undermine trust in machine learning models.

Machine Learning 60

Machine Learning Modeling Data Science Business Objectives 60

Analytics Vidhya

SEPTEMBER 11, 2023

RLHF for high performance focuses on understanding human behavior, cognition, context, knowledge, and interaction by leveraging computational models and data-driven approaches […] The post RLHF For High-Performance Decision-Making: Strategies and Optimization appeared first on Analytics Vidhya.

Optimization 326

Optimization Strategy Data-driven Interactive 326

Decision Management Solutions

JUNE 30, 2021

This quote from Forrester succinctly states why machine learning (ML) projects often never progress beyond the pilot stage—a common form of “purgatory” and a topic I presented recently at this year’s Machine Learning Week. Step away from the data! You must put decisions, not data, first, to succeed with ML.

Machine Learning 52

Machine Learning Data-driven Modeling Software 52

CIO Business Intelligence

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. The rest are on premises.

Data Lake 134

Data Lake Machine Learning Data Warehouse Unstructured Data 134

CIO Business Intelligence

MAY 21, 2024

“We know the keys to realizing the full power of AI revolve around two important things: applying AI to a well-defined, practical business issue, and leveraging high quality data,” said Epicor chief product and technology officer Vaibhav Vohra, in a statement. Epicor is putting its R&D efforts into AI and data management.

Forecasting 126

Forecasting Predictive Analytics Machine Learning Data-driven 126

Rocket-Powered Data Science

MARCH 19, 2021

How to make smarter data-driven decisions at scale : [link]. The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One CIO said it this way , “If CIOs invested in machine learning three years ago, they would have wasted their money.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

CIO Business Intelligence

MAY 29, 2024

There was a definite buzz about cybersecurity investments and M&A picking up steam, AI-based defense and AI-delivered industry models, and overall product innovation. Increased AI attacks AI adoption in the enterprise is driving a wave to protect the AI models and the data they are training.

Machine Learning 133

Machine Learning Enterprise Data-driven Modeling 133

O'Reilly on Data

DECEMBER 10, 2019

Roughly a year ago, we wrote “ What machine learning means for software development.” Karpathy suggests something radically different: with machine learning, we can stop thinking of programming as writing a step of instructions in a programming language like C or Java or Python. Instead, we can program by example.

Software 263

Software Machine Learning Risk Data-driven 263

AWS Big Data

MAY 4, 2023

Encored develops machine learning (ML) applications predicting and optimizing various energy-related processes, and their key initiative is to predict the amount of power generated at renewable energy power plants. The amount of data and the number of power plants they need to collect data are rapidly increasing over time.

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52