Smart Data Collective

AUGUST 6, 2020

At Smart Data Collective, we have talked about a few impressive technological trends that are shaping modern business in the 21st-century. He found that AI-driven text to speech software was much more useful. You can use deep learning technology to replicate a voice that your audience will resonate with.

Deep Learning 117

Deep Learning Visualization Data-driven Marketing 117

Occam's Razor

MARCH 30, 2017

Perhaps you now see why I’ve pivoted my career to Storytelling with data over the last couple of years. :). Invest in continuous learning. The most conservative estimate is that AI driven changes are expected to replace 25% of jobs across the world, by 2026. Deep Learning is a specific ML technique.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Cloudera

NOVEMBER 19, 2020

Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud. Technology can help.

Machine Learning 119

Machine Learning Data-driven Modeling Deep Learning 119

datapine

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. Predict the impact of new policies, laws, and regulations on businesses and markets.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

CIO Business Intelligence

MARCH 30, 2022

For organizations looking to move beyond stale reports, decision intelligence holds promise, giving them the ability to process large amounts of data with a sophisticated mix of tools such as artificial intelligence and machine learning to transform data dashboards and business analytics into more comprehensive decision support platforms.

Machine Learning 144

Machine Learning Testing Risk Data Collection 144

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. The complexity of the task determines the cost and availability of functions, as well as how data is processed and integrated. The global commercial drone market is projected to grow from USD 8.15

Data Collection 76

Data Collection Visualization Data-driven Unstructured Data 76

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization is a business capability where an organization can create and realize value from data and artificial intelligence (AI) assets. A value exchange system built on data products can drive business growth for your organization and gain competitive advantage.

Strategy 103

Strategy Data-driven Cost-Benefit Measurement 103

Decision Management Solutions

FEBRUARY 8, 2021

What does the autonomous ship, Mayflower 400, have to do with business-driven decision-making? One of the Mayflower 400 team’s first undertakings was to develop computer vision models based on different types of artificial intelligence—namely machine learning and deep learning. Quite a bit, it turns out.

Machine Learning 93

Machine Learning Testing Deep Learning Optimization 93

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. DL models can improve over time through further training and exposure to more data. These technologies enable systems to interact, learn from interactions, adapt and become more efficient.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

IBM Big Data Hub

APRIL 22, 2024

To drive real change, it’s crucial for individuals, industries, organizations and governments to work together, using data and technology to uncover new opportunities that will help advance sustainability initiatives across the globe. The world is behind on addressing climate change.

IoT 77

IoT Internet of Things Cost-Benefit Reporting 77

Domino Data Lab

MAY 8, 2019

For example, common practices for collecting data to build training datasets tend to throw away valuable information along the way. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Machine learning model interpretability. Let’s look through some antidotes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

IBM Big Data Hub

MARCH 27, 2024

This article explores an innovative way to streamline the estimation of Scope 3 GHG emissions leveraging AI and Large Language Models (LLMs) to help categorize financial transaction data to align with spend-based emissions factors. Why are Scope 3 emissions difficult to calculate?

Experimentation 73

Experimentation Deep Learning Modeling Data-driven 73

bridgei2i

MARCH 9, 2021

Outdated systems can’t cope with the amount of data being collected from consumers. Artificial Intelligence is a subset of computer sciences that generates a system that can automate various tasks like data gathering, speech/text recognition, low-level problem solving, etc. How Can AI Systems Help Technology Companies?

Technology 52

Technology Deep Learning Data-driven Machine Learning 52

DataRobot

OCTOBER 20, 2021

Data literacy is a key component for any organization to be able to scale responsible and trusted artificial intelligence technology. Achieving that level of governance at scale requires a common understanding of AI and data concepts. What Is Data Literacy? How Can Organizations Cultivate Data Literacy?

Machine Learning 52

Machine Learning Metrics Deep Learning Risk 52

IBM Big Data Hub

SEPTEMBER 6, 2023

From customized content creation to task automation and data analysis, AI has seemingly endless applications when it comes to marketing, but also some potential risks. More accurate measurement of KPIs: Digital campaigns generate more data than humans can keep up with, which can make measuring the success of marketing initiatives difficult.

Marketing 78

Marketing Technology Advertising Machine Learning 78

Ontotext

DECEMBER 15, 2023

This post describes our approach to developing such a taxonomy by integrating and coreferencing data from numerous sources. The official (first) repo is tensorflow/tensor2tensor that has topics: machine-learning reinforcement-learning deep-learning machine-translation tpu. has 260,491 topics and is 15 levels deep.

Machine Learning 69

Machine Learning Deep Learning Interactive Statistics 69

IBM Big Data Hub

AUGUST 11, 2023

The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data. How the models are stored.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

IBM Big Data Hub

FEBRUARY 14, 2024

Promote cross- and up-selling Recommendation engines use consumer behavior data and AI algorithms to help discover data trends to be used in the development of more effective up-selling and cross-selling strategies, resulting in more useful add-on recommendations for customers during checkout for online retailers.

Cost-Benefit 82

Cost-Benefit Insurance Machine Learning Unstructured Data 82

Domino Data Lab

JUNE 23, 2019

Skomoroch advocates that organizations consider installing product leaders with data expertise and ML-oriented intuition (i.e., Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. It is similar to R&D.

Management 110

Management Machine Learning Experimentation Metrics 110

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CIO Business Intelligence

JULY 25, 2024

These technologically modern municipalities use a variety of systems, devices, and sensors to enhance services and operations, manage assets, and increase efficiency — fueled by the power of data. Emphasizing data-driven decision-making in Aurora In 2018, the City of Aurora, Ill., Aurora emphasizes data-driven decision-making.

IT 131

IT Data-driven Digital Transformation Data Collection 131

CIO Business Intelligence

SEPTEMBER 19, 2023

Airbnb is one company using AI to optimize pricing on AWS, utilizing AI to manage capacity, to build custom cost and usage data tools, and to optimize storage and computing capacity. For other companies, AI use in customer service has also been driven by consumer’s increased expectations.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. Why is high-quality and accessible data foundational?

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Years and years of practice with R or "Big Data." Intro to Machine Learning. Machine Learning. Deep Learning. Years of having used tool x.

Marketing 138

Marketing Analytics Machine Learning Strategy 138