O'Reilly on Data

MAY 21, 2019

Here are some typical ways organizations begin using machine learning: Build upon existing analytics use cases: e.g., one can use existing data sources for business intelligence and analytics, and use them in an ML application. Modernize existing applications such as recommenders, search ranking, time series forecasting, etc.

Machine Learning 238

Machine Learning Technology Deep Learning Data Science 238

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 122

Predictive Analytics Analytics Predictive Modeling Data mining 122

CIO Business Intelligence

JUNE 7, 2022

Predictive analytics applies techniques such as statistical modeling, forecasting, and machine learning to the output of descriptive and diagnostic analytics to make predictions about future outcomes. Time series data means that data is in a series of particular time periods or intervals.”

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

IBM Big Data Hub

MAY 17, 2024

AI models analyze vast amounts of data quickly and accurately. They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions.  The applications of AI in commerce are vast and varied.

B2B 49

B2B Interactive Optimization Forecasting 49

Jet Global

AUGUST 24, 2020

IOT and other sensor-driven technologies have created a data ecosystem that is growing, changing and moving at unprecedented speeds – a landscape of living data that is constantly evolving across all businesses today. For more information, please visit the company’s website at ivedix.com.

IoT 80

IoT Analytics Deep Learning Digital Transformation 80

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. See what’s ahead AI can assist with forecasting.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

IBM Big Data Hub

DECEMBER 5, 2023

According to IBM’s latest CEO study , industry leaders are increasingly focusing on AI technologies to drive revenue growth, with 42% of retail CEOs surveyed banking on AI technologies like generative AI, deep learning, and machine learning to deliver results over the next three years. trillion in that year.

Unstructured Data 95

Unstructured Data Cost-Benefit Experimentation Machine Learning 95

IBM Big Data Hub

DECEMBER 19, 2023

The main difference being that while KNN makes assumptions based on data points that are closest together, LOF uses the points that are furthest apart to draw its conclusions. Unsupervised learning Unsupervised learning techniques do not require labeled data and can handle more complex data sets.

Machine Learning 72

Machine Learning Optimization Unstructured Data Sales 72

IBM Big Data Hub

OCTOBER 16, 2023

ML also helps businesses forecast and decrease customer churn (the rate at which a company loses customers), a widespread use of big data. Reinforcement learning uses ML to train models to identify and respond to cyberattacks and detect intrusions. Many stock market transactions use ML.

Machine Learning 51

Machine Learning Marketing Forecasting Modeling 51

Smart Data Collective

FEBRUARY 26, 2023

Tewari pointed out that “OpenAI’s GPT-3 or similar autoregressive language models that use deep learning to create human-like text.” But even a “just efficient,” AI program that can write code, and learn to get better could be very disruptive. Just efficient. Not anytime soon.

Software 100

Software Internet of Things IoT Deep Learning 100

Smart Data Collective

AUGUST 26, 2021

Deep learning technology is changing the future of small businesses around the world. A growing number of small businesses are using deep learning technology to address some of their most pressing challenges. New advances in deep learning are integrated into various accounting algorithms.

Deep Learning 96

Deep Learning Finance Cost-Benefit Advertising 96

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” Benefits include automatic task and subtask generation, leveraging historical project data to forecast timelines and requirements, note taking and risk prediction.

Enterprise 127

Enterprise Modeling Testing Data-driven 127

BizAcuity

APRIL 6, 2022

It also means heavy investments on data storage, management, security and speed at which data should be processed. A lot of investments go into data warehousing, big data management and data storage to ensure revenue is not lost due to any glitches or misconfiguration. Contact Us.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

Cloudera

SEPTEMBER 11, 2020

Much of the changes we’re seeing from retail and consumer goods leaders in terms of impact are centered around the use of data and analytics. What they have learned is that often their legacy Machine Learning models (e.g. demand forecasting) based solely on historical transaction data – really missed the mark.

Manufacturing 89

Manufacturing Forecasting Digital Transformation Sales 89

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends.

Enterprise 107

Enterprise Interactive Data-driven Key Performance Indicator 107

Smart Data Collective

SEPTEMBER 9, 2019

The majority of machine learning and deep learning solutions have focused on fundamental analysis of securities. However, deep learning and other artificial intelligence technologies will also change the future of technical analysis as well. New developments in deep learning with technical analysis.

Deep Learning 66

Deep Learning Forecasting Machine Learning Strategy 66

FineReport

OCTOBER 21, 2019

Pro: Support Multiple Data Sources . Big Data Platform . File data sources (Execl,csv, txt, Json, pdf, mdb, Tableau). Pro: Stunning Data Visualization . Although users of Sisense’s community are less active than Tableau’s, the resources in that community are enough for newbies for deep learning.

Visualization 91

Visualization Cost-Benefit Dashboards Software 91

BizAcuity

MARCH 31, 2022

By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. of organizations who participated in an executive survey back in 2019 claimed they are going to be investing in big data and AI. Source: Gartner Research). Source: TCS).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

DataRobot Blog

SEPTEMBER 13, 2022

What Do Data Scientists Do? Data scientists drive business outcomes. Many implement machine learning and artificial intelligence to tackle challenges in the age of Big Data. What data scientists do is directly tied to an organization’s AI maturity level. Operationalization. Download Now.

Forecasting 52

Forecasting Data-driven Machine Learning Optimization 52

IBM Big Data Hub

DECEMBER 20, 2023

Supervised machine learning Supervised machine learning is a type of machine learning where the model is trained on a labeled dataset (i.e., Supervised learning is commonly used for risk assessment, image recognition, predictive analytics and fraud detection, and comprises several types of algorithms.

Machine Learning 82

Machine Learning Modeling Deep Learning Predictive Modeling 82

IBM Big Data Hub

OCTOBER 20, 2023

Artificial intelligence platforms enable individuals to create, evaluate, implement and update machine learning (ML) and deep learning models in a more scalable way. AI platform tools enable knowledge workers to analyze data, formulate predictions and execute tasks with greater speed and precision than they can manually.

Machine Learning 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

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

IBM Big Data Hub

MAY 17, 2023

They use drones for tasks as simple as aerial photography or as complex as sophisticated data collection and processing. billion by 2029, at a CAGR of 28.58% in the forecast period. DaaS uses built-in deep learning models that learn by analyzing images and video streams for classification.

Data Collection 85

Data Collection Visualization Data-driven Unstructured Data 85

Smart Data Collective

OCTOBER 13, 2021

There are countless examples of big data transforming many different industries. There is no disputing the fact that the collection and analysis of massive amounts of unstructured data has been a huge breakthrough. We would like to talk about data visualization and its role in the big data movement.

Visualization 135

Visualization Cost-Benefit Big Data Prescriptive Analytics 135

Smart Data Collective

MAY 19, 2021

Big data technology has become a major disrupting factor in the energy industry. Many energy conglomerates have started embracing data analytics to expand their markets, respond to new trends, streamline operations and bolster efficiency. The clean energy sector has not been untouched by the big data revolution.

Data Analytics 89

Data Analytics Analytics Big Data Predictive Analytics 89