IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth.

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

Domino Data Lab

OCTOBER 9, 2019

We’ll examine National Oceanic and Atmospheric Administration (NOAA) data management practices which I learned about at their workshop, as a case study in how to handle data collection, dataset stewardship, quality control, analytics, and accountability when the stakes are especially high. How cool is that?!

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

CIO Business Intelligence

SEPTEMBER 22, 2022

The number of companies that have a digital transformation strategy was up 42% from two years ago,” says Ryan Ding, President of Huawei Enterprise BG, “Enterprise direct investment in digital transformation is set to grow at 16.5% In other words, the data have to be collected, transmitted, stored, analysed, and processed before it’s usable.

Technology 52

Technology Digital Transformation Broadcasting Uncertainty 52

IBM Big Data Hub

SEPTEMBER 6, 2023

AI marketing is the process of using AI capabilities like data collection, data-driven analysis, natural language processing (NLP) and machine learning (ML) to deliver customer insights and automate critical marketing decisions. What is AI marketing?

Marketing 83

Marketing Technology Advertising ROI 83

Smart Data Collective

MAY 8, 2022

Let’s not forget that big data and AI can also automate about 80% of the physical work required from human beings, 70% of the data processing, and more than 60% of the data collection tasks. From the statistics shown, this means that both AI and big data have the potential to affect how we work in the workplace.

Big Data 104

Big Data Data Analytics Analytics Cost-Benefit 104

Smart Data Collective

APRIL 25, 2022

Artificial intelligence can use deep learning as a means to create automatically generate content for their social media page. The post What Artificial Intelligence can Help Businesses Manage Their Online Profiles appeared first on SmartData Collective. The Creation of Content on Social Media.

Management 133

Management Machine Learning Marketing Deep Learning 133

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 Risk Testing Data-driven 144

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. Marketing and sales: Conversational AI has become an invaluable tool for data collection. It assists customers and gathers crucial customer data during interactions to convert potential customers into active ones.

Enterprise 103

Enterprise Interactive Data-driven Key Performance Indicator 103

O'Reilly on Data

MARCH 31, 2020

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. AI product estimation strategies.

Management 332

Management Machine Learning Experimentation Metrics 332

IBM Big Data Hub

NOVEMBER 14, 2023

Data monetization strategy: Managing data as a product Every organization has the potential to monetize their data; for many organizations, it is an untapped resource for new capabilities. Each data product has its own lifecycle environment where its data and AI assets are managed in their product-specific data lakehouse.

Strategy 110

Strategy Cost-Benefit Data-driven Measurement 110

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 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

Cloudera

OCTOBER 1, 2022

While the word “data” has been common since the 1940s, managing data’s growth, current use, and regulation is a relatively new frontier. . Governments and enterprises are working hard today to figure out the structures and regulations needed around data collection and use.

Data Governance 72

Data Governance Strategy Enterprise Machine Learning 72

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise. One-fifth use reinforcement learning.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Insight

JANUARY 14, 2020

In short, I was faced with two major difficulties regarding data collection: I didn’t have nearly enough images, and the images I did have were not representative of a realistic gym environment. Let’s train a CNN with fake data! On top of this issue, I only had between 40–50 unique images for each class. What the heck!

Metrics 58

Metrics Optimization Modeling Testing 58

Cloudera

NOVEMBER 19, 2020

Analyzing historical data is an important strategy for anomaly detection. The modeling process begins with data collection. Here, Cloudera Data Flow is leveraged to build a streaming pipeline which enables the collection, movement, curation, and augmentation of raw data feeds.

Machine Learning 114

Machine Learning Data-driven Modeling Deep Learning 114

Domino Data Lab

JUNE 23, 2019

It used deep learning to build an automated question answering system and a knowledge base based on that information. It is like the Google knowledge graph with all those smart, intelligent cards and the ability to create your own cards out of your own data.

Management 110

Management Machine Learning Experimentation Metrics 110

Cloudera

FEBRUARY 4, 2019

With the rise of streaming architectures and digital transformation initiatives everywhere, enterprises are struggling to find comprehensive tools for data management to handle high volumes of high-velocity streaming data. He currently works at Cloudera, managing their Data-in-Motion product line.

IoT 73

IoT Prescriptive Analytics Digital Transformation Internet of Things 73

Occam's Razor

OCTOBER 12, 2017

One sample strategy: Expect that I'll ask open-ended questions (If a company has 90% Reach on TV, why the heck do they need digital?). Hence, a personal strategy of mine is to look well outside my area of expertise to help me improve my analytical thinking capabilities. Or, maybe I'm just too deep into this stuff. :).

Marketing 136

Marketing Analytics Machine Learning Strategy 136