IBM Big Data Hub

DECEMBER 15, 2023

Not to mention the numerous applications and media services, including companies like Netflix and Spotify, that merge open-source AI with proprietary solutions, employing machine learning libraries like TensorFlow or PyTorch to enhance recommendations and boost performance.

Deep Learning 71

Deep Learning Experimentation Machine Learning Risk 71

IBM Big Data Hub

OCTOBER 18, 2023

. “Artificial Intelligence Fundamentals” introduces learners to the history of AI and explores the ways that AI makes predictions, understands language and images, and learns using Deep Learning , neural networks that attempt to simulate the human brain.

Machine Learning 81

Machine Learning Deep Learning Technology Marketing 81

Cloudera

FEBRUARY 25, 2021

Cloudera has a front-row seat to organizational challenges as those enterprises make Machine Learning a core part of their strategies and businesses. The work of a machine learning model developer is highly complex. Here’s a preview of what you can leverage with one click in CML: Deep Learning for Anomaly Detection.

Deep Learning 82

Deep Learning Machine Learning Forecasting Visualization 82

IBM Big Data Hub

MAY 17, 2024

To take one example, AI-facilitated tools like voice navigation promise to upend the way users fundamentally interact with a system. As the future of commerce unfolds, each use case interacts holistically to transform the customer journey from end-to-end–for customers, for employees, and for their partners.

B2B 58

B2B Interactive Optimization Forecasting 58

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.

Unstructured Data 95

Unstructured Data Cost-Benefit Experimentation Machine Learning 95

IBM Big Data Hub

FEBRUARY 23, 2024

The emergence of NLG has dramatically improved the quality of automated customer service tools, making interactions more pleasant for users, and reducing reliance on human agents for routine inquiries. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development.

Enterprise 105

Enterprise Interactive Data-driven Key Performance Indicator 105

IBM Big Data Hub

JULY 11, 2023

Better machine learning (ML) algorithms, more access to data, cheaper hardware and the availability of 5G have contributed to the increasing application of AI in the healthcare industry, accelerating the pace of change. US, German and French researchers used deep learning on more than 100,000 images to identify skin cancer.

Deep Learning 59

Deep Learning Cost-Benefit Insurance Machine Learning 59

Occam's Razor

MARCH 30, 2017

Machine Learning | Marketing. Machine Learning | Analytics. People tend to use these phrases almost interchangeably: Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning. Deep Learning is a specific ML technique. Machine Learning | Marketing.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

Ontotext

DECEMBER 15, 2023

The official (first) repo is tensorflow/tensor2tensor that has topics: machine-learning reinforcement-learning deep-learning machine-translation tpu. By exploring the first topic machine-learning , we find 117k Github repos. uie paddlenlp ). By exploring the topic nlp , we find 26.7k

Machine Learning 69

Machine Learning Interactive Deep Learning Statistics 69

IBM Big Data Hub

JULY 6, 2023

To keep up with the pace of consumer expectations, companies are relying more heavily on machine learning algorithms to make things easier. This blog post will clarify some of the ambiguity. How do artificial intelligence, machine learning, deep learning and neural networks relate to each other?

Deep Learning 61

Deep Learning Machine Learning Unstructured Data Modeling 61

IBM Big Data Hub

FEBRUARY 13, 2024

The compact design and touch-based interactivity seemed like a leap into the future. Generative AI represents a significant advancement in deep learning and AI development, with some suggesting it’s a move towards developing “ strong AI.” Remember how cool it felt when you first held a smartphone in your hand?

Enterprise 125

Enterprise Modeling Testing Data-driven 125

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 85

Marketing Technology Advertising ROI 85

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. offers many statistics and machine learning abilities.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

IBM Big Data Hub

SEPTEMBER 5, 2023

Many of us have interacted with these chatbots or virtual assistants on our phones or through devices in our homes—such as Apple’s Siri, Amazon Alexa and Google Assistant. You may have interacted with these chatbots via SMS text messaging, social media or with messenger applications in the workplace.

Interactive 63

Interactive Technology Deep Learning Business Objectives 63

Cloudera

AUGUST 20, 2020

Machine Learning (ML) and Artificial Intelligence (AI), while still emerging technologies inside of enterprise organisations, have given some companies the ability to dynamically change their fortunes and reshape the way they are doing business — that is if they are brave enough to experiment and explore the unknown.

Enterprise 120

Enterprise Experimentation Uncertainty Deep Learning 120

IBM Big Data Hub

JULY 17, 2023

Currently chat bots are relying on rule-based systems or traditional machine learning algorithms (or models) to automate tasks and provide predefined responses to customer inquiries. is a studio to train, validate, tune and deploy machine learning (ML) and foundation models for Generative AI. Watsonx.ai

Consulting 58

Consulting Machine Learning Deep Learning Cost-Benefit 58

The Unofficial Google Data Science Blog

NOVEMBER 17, 2020

On the other hand, sophisticated machine learning models are flexible in their form but not easy to control. This blog post motivates this problem more fully, and discusses monotonic splines and lattices as a solution. In this blog post, we describe how we impose common-sense “shape constraints” on complex models.

Machine Learning 108

Machine Learning Deep Learning Modeling Interactive 108

Domino Data Lab

JULY 28, 2021

Data scientists have to work with different types of data, interact with different types of computer systems, program in various languages, work in different development environments and stitch all of their work together across the entire data science lifecycle. Computer Science Skills. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

IBM Big Data Hub

DECEMBER 20, 2023

Machine learning (ML) technologies can drive decision-making in virtually all industries, from healthcare to human resources to finance and in myriad use cases, like computer vision , large language models (LLMs), speech recognition, self-driving cars and more. What is machine learning?

Machine Learning 81

Machine Learning Modeling Deep Learning Predictive Modeling 81

Sisense

APRIL 15, 2021

Augmented analytics (according to Gartner, which would know), uses technologies “such as machine learning [ML] and AI to assist with data preparation, insight generation, and insight explanation to augment how people explore and analyze data in analytics and BI platforms.” Analytics is the future. Tools of the AI trade.

Analytics 98

Analytics Data Science Modeling Machine Learning 98

IBM Big Data Hub

APRIL 18, 2024

While AGI promises machine autonomy far beyond gen AI, even the most advanced systems still require human expertise to function effectively. Building an in-house team with AI, deep learning , machine learning (ML) and data science skills is a strategic move. The AGI research field is constantly evolving.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

bridgei2i

NOVEMBER 17, 2020

Data transformation: Use feature engineering through Computer Vision, Natural Language Processing, Graph Networks and other deep learning techniques to abstract and summarize information from a variety of sources ranging from image to text, voice, video, sensor and the like.

Deep Learning 85

Deep Learning Manufacturing Optimization Data-driven 85

Domino Data Lab

JULY 28, 2021

Today, data is generated constantly through multiple channels including transactional systems, sensors, cameras, and online interactions. In fact, deep learning was first described theoretically in 1943. The most commonly used techniques today are under the umbrella of machine learning.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Insight

APRIL 9, 2019

NASA [Public domain] In this blog, I’ll discuss how I worked collaboratively with various domain experts, using reinforcement learning to develop innovative solutions in rocket engine development. Multi-disciplinary product managers, however, are well-equipped to tackle this very challenge. It is far from an automated process.

Manufacturing 75

Manufacturing Machine Learning Testing Software 75

Cloudera

OCTOBER 26, 2022

?. It’s no secret that advancements like AI and machine learning (ML) can have a major impact on business operations. Cloudera has seen a lot of opportunity to extend even more time saving benefits specifically to data scientists with the debut of Applied Machine Learning Prototypes (AMPs). The answer is a resounding no.

Machine Learning 74

Machine Learning Deep Learning Cost-Benefit Forecasting 74

DataRobot Blog

JULY 27, 2022

However, machine learning utilization is often unpredictable, which makes scaling sometimes a huge challenge. You interact with everything via our Python clients wrapping our API endpoints. Investing in AI/ML is no longer an option but is critical for organizations to remain competitive.

Metrics 52

Metrics Deep Learning Modeling Machine Learning 52

DataRobot Blog

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Validating Machine Learning Models. Furthermore, through its interactive interface, the modeler is able to do multiple what-if analyses to see the impact of changing the prediction threshold on the corresponding model precision and recall.

Risk 52

Risk Modeling Metrics Business Objectives 52

Cloudera

NOVEMBER 15, 2021

This blog discusses quantifications, types, and implications of data. Deep Learning, a subset of AI algorithms, typically requires large amounts of human annotated data to be useful. The post The Rise of Unstructured Data appeared first on Cloudera Blog. The word “data” is ubiquitous in narratives of the modern world.

Unstructured Data 86

Unstructured Data Recreation/Entertainment Structured Data Reporting 86

Cloudera

SEPTEMBER 12, 2018

The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Enterprise Machine Learning: . It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. Societal Impact: .

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

Domino Data Lab

JULY 22, 2019

This blog post provides a concise session summary, a video, and a written transcript. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

CDW Research Hub

JULY 31, 2019

Recent advances in machine learning, and more specifically its subset, deep learning, have made it possible for computers to better understand natural language. Rasa core is the main framework of the stack the provides conversation or dialogue management backed by machine learning. What’s next?

Deep Learning 49

Deep Learning Machine Learning Testing Modeling 49

Insight

MAY 7, 2019

Here is another great blog post on BERT by a former Insight Fellow. BERT uses a deep bi-directional model using transformers. The user interacts with the platform using the APIs which start the training or batch inference in the background using Celery.

Modeling 75

Modeling Testing Machine Learning Interactive 75

AWS Big Data

JUNE 26, 2023

These techniques utilize various machine learning (ML) based approaches. Jupyter notebooks are web-based interactive platforms. For more data and analytics blog posts, check out AWS Blogs. He believes deep learning will power future technology growth.

Insurance 77

Insurance Visualization Data Lake Metrics 77

CIO Business Intelligence

APRIL 15, 2022

And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment. Insights gained from analytics and actions driven by machine learning algorithms can give organizations a competitive advantage, but mistakes can be costly in terms of reputation, revenue, or even lives.

Analytics 143

Analytics Machine Learning Insurance Testing 143

Cloudera

NOVEMBER 3, 2021

Thanks to pioneers like Andrew NG and Fei-Fei Li, GPUs have made headlines for performing particularly well with deep learning techniques. Today, deep learning and GPUs are practically synonymous. While deep learning is an excellent use of the processing power of a graphics card, it is not the only use.

Deep Learning 115

Deep Learning Machine Learning Data Science Cost-Benefit 115

Smarten

APRIL 19, 2024

Vendors, service providers and analytics solution companies will package data products and design data management solutions to support business users in their interaction with suppliers, customers and stakeholders, and to inform and support customers and end users as they choose products and options.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

IBM Big Data Hub

OCTOBER 12, 2023

Early iterations of the AI applications we interact with most today were built on traditional machine learning models. These models rely on learning algorithms that are developed and maintained by data scientists. This understanding can affect how the AI interacts with those around them. IBM watsonx.ai

Machine Learning 73

Machine Learning Deep Learning Interactive Modeling 73