IBM Big Data Hub

APRIL 18, 2024

Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. AGI, sometimes referred to as strong AI , is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility.

Cost-Benefit 95

Cost-Benefit Modeling Manufacturing Interactive 95

Smart Data Collective

JULY 3, 2023

As the automotive industry continues to embrace AI technology and makes the shift towards electric mobility, a new wave of machine learning technology is transforming the way we drive. Equipped with advanced software algorithms, the IX1 boasts an array of automated features that redefine the driving experience.

Software 74

Software Manufacturing Recreation/Entertainment Data-driven 74

CIO Business Intelligence

JUNE 6, 2023

In this new blog series, we explore artificial intelligence and automation in technology and the key role it plays in the Broadcom portfolio. An increased demand for high-performance computing for cloud data centers AI workloads require specialized processors that can handle complex algorithms and large amounts of data.

Manufacturing 94

Manufacturing Unstructured Data Optimization Software 94

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . Given this context, how can financial institutions reap the benefits of modern machine learning approaches, while still being compliant to their MRM framework? To reference SR 11-7: .

Risk 64

Risk Modeling Machine Learning Data Quality 64

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. Key functions and usage: cloud data storage; availability 24/7/365.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

FEBRUARY 14, 2023

To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. Devices like these are becoming ubiquitous and generate data 24/7. That’s not to say it’ll be easy.

Data Strategy 115

Data Strategy Strategy Machine Learning Data-driven 115

Smart Data Collective

AUGUST 12, 2019

Google is constantly developing new artificial intelligence algorithms to improve search engine results. However, Google isn’t the only company using AI and machine learning in search. Machine Learning is Changing the Art of Link building. Google is already using machine learning in Gmail, reaching a 99.9

Machine Learning 76

Machine Learning Marketing Strategy Publishing 76

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. Also, that algorithm can be replicated at no cost except for hardware.

Deep Learning 59

Deep Learning Cost-Benefit Insurance Machine Learning 59

IBM Big Data Hub

FEBRUARY 23, 2024

NLP translates the user’s words into machine actions, enabling machines to understand and respond to customer inquiries accurately. Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development.

Enterprise 104

Enterprise Interactive Data-driven Key Performance Indicator 104

Smart Data Collective

AUGUST 26, 2021

As long as a user is connected to the internet, they can check the current weather, as well as 7-day or 14-day predictions using their smartphone or computer. Simply put, it involves a diverse array of tech innovations, from artificial intelligence and machine learning to the internet of things (IoT) and wireless communication networks.

Forecasting 131

Forecasting Data Analytics Analytics IoT 131

Cloudera

FEBRUARY 8, 2021

Continuing from my previous blog post about how awesome and easy it is to develop web-based applications backed by Cloudera Operational Database (COD), I started a small project to integrate COD with another CDP cloud experience, Cloudera Machine Learning (CML). . Once the database is up and running, switch to the JDBC tab.

Machine Learning 75

Machine Learning Statistics Modeling Dashboards 75

Smart Data Collective

MAY 1, 2022

Multiple emails, social media posts, blogs, articles, and other text forms are generated daily. Text analysis , or text mining, is a machine—learning technique that can extract valuable data from large amounts of unstructured text. But by using AI text analysis, all data and related algorithms can be quickly sorted.

Cost-Benefit 118

Cost-Benefit Unstructured Data Machine Learning Marketing 118

Ontotext

MAY 26, 2021

But, as Ontotext’s CEO Atanas Kiryakov often says, we forget that nobody nurtures the Artificial Intelligence (AI) systems for 7 years to learn how to walk, talk, count, read, write and, even more important, not touch hot stoves and avoid tilting full glasses and asking: Can I get 3 more cookies? What do AI systems need to learn?

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

Ontotext

FEBRUARY 1, 2024

Not only are these ontologies capable of representing any domain of knowledge, but the structure of the data model is also transparent and intelligible to both humans and machines. Ontologies in RDF also support machine inferencing, allowing new knowledge to be derived from existing data.

Enterprise 59

Enterprise Management Metadata Modeling 59

IBM Big Data Hub

AUGUST 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

Smart Data Collective

FEBRUARY 20, 2022

Rather, AWS offers a variety of data movement, data storage, data lakes, big data analytics, log analytics, streaming analytics, and machine learning (ML) services to suit any need. AWS also offers developers the technology to develop smart apps using machine learning and complex algorithms. Easy to use.

Cost-Benefit 116

Cost-Benefit Data Lake Software Machine Learning 116

IBM Big Data Hub

OCTOBER 9, 2023

Artificial intelligence (AI) can help usher in a new era of human resource management, where data analytics, machine learning and automation can work together to save people time and support higher-quality outcomes. These are some possible use cases: Professional learning and development: Where do workers see themselves in five years?

Machine Learning 73

Machine Learning Management Optimization Technology 73

Sisense

APRIL 30, 2020

To do this, we’ll use machine learning (ML) algorithms, which are based on concepts of linear algebra and statistics. These best practices will help us address a common question: “How do we represent text for machine learning systems?”. Text preprocessing. can’t” becomes “can not”). Lemmatization.

Machine Learning 91

Machine Learning Statistics Modeling IT 91

DataRobot Blog

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Validating Machine Learning Models. SR 11-7 further goes to detail the components of an effective validation, which includes: Evaluation of conceptual soundness Ongoing monitoring Outcomes analysis.

Risk 52

Risk Modeling Metrics Business Objectives 52

IBM Big Data Hub

JULY 17, 2023

They also expect service to be delivered 24/7 across multiple channels. 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. Watsonx.ai

Consulting 57

Consulting Machine Learning Deep Learning Cost-Benefit 57

Domino Data Lab

AUGUST 6, 2021

It was first defined by the US Federal Reserve and Office of the Comptroller of the Currency ( SR 11-7 ) in April 2011. The process of doing data science is about learning from experimentation failures, but inadvertent errors can create enormous risks in model implementation. What Is Model Risk? Model implementation.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

Domino Data Lab

JUNE 8, 2021

In this blog post we take a deep dive into the internals of Support Vector Machines. Learning a Linear SVM with Quadratic Programming. The second term in (8) is zero because of (7), which gives us the final formulation of the problem. 1999) and more. The question now is: how can we solve this optimisation problem?

Optimization 76

Optimization Machine Learning Measurement Data Science 76

Domino Data Lab

MAY 1, 2019

This Domino Data Science Field Note provides highlights and excerpted slides from Chloe Mawer ’s “ The Ingredients of a Reproducible Machine Learning Model ” talk at a recent WiMLDS meetup. Chloe Mawer presented “ The Ingredients of a Reproducible Machine Learning Model “ talk at a recent WiMLDS meetup.

Machine Learning 81

Machine Learning Testing Data Science Modeling 81

Domino Data Lab

JULY 17, 2021

While more advanced models for speaker verification exist, this blog will form a basis of speech signal processing. Further, deep learning methods are built on the foundation of signal processing. Development is the process of learning speaker independent parameters, which are needed for capturing specific speech characteristics.

Modeling 64

Modeling Testing Machine Learning Measurement 64

Ontotext

MARCH 8, 2023

Specifically, the increasing amount of data being generated and collected, and the need to make sense of it, and its use in artificial intelligence and machine learning, which can benefit from the structured data and context provided by knowledge graphs. We get this question regularly. What shipping route is the most fuel efficient?

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Rita Sallam

APRIL 2, 2023

The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. We also gave the demo script and data set to all vendors in the Exhibit Hall to create demos for their booths and to submit for this blog.

Optimization 52

Optimization Machine Learning Insurance Risk 52

Insight

MAY 20, 2020

Sprung from the concepts described in a paper about a distributed file system created at Google and implementing the MapReduce algorithm made famous by Google, Hadoop was first released by the open-source community in 2006. Hadoop is one of the most mature and well-known open-source big data frameworks on the market. is compatible with.

Interactive 98

Interactive Metadata Publishing IT 98

DataRobot Blog

DECEMBER 7, 2019

This blog provides a unique take on using machine learning to predict free agent signings in the off-season. Using 1500+ variables across multiple years of historical performance, we used DataRobot to determine which variables and machine learning algorithms were most accurate for predicting future performance.

Machine Learning 52

Machine Learning Forecasting Metrics Modeling 52

O'Reilly on Data

MARCH 20, 2019

Apply fair and private models, white-hat and forensic model debugging, and common sense to protect machine learning models from malicious actors. Like many others, I’ve known for some time that machine learning models themselves could pose security risks. Data poisoning attacks.

Modeling 222

Modeling Machine Learning Predictive Modeling Consulting 222

IBM Big Data Hub

JANUARY 10, 2024

Artificial intelligence (AI) refers to the convergent fields of computer and data science focused on building machines with human intelligence to perform tasks that would previously have required a human being. For example, learning, reasoning, problem-solving, perception, language understanding and more.

Unstructured Data 82

Unstructured Data Deep Learning Cost-Benefit Modeling 82

Domino Data Lab

AUGUST 9, 2021

In general terms, a model is a series of algorithms that can solve problems when given appropriate data. Just as the human brain can solve problems by applying lessons we learn from past experiences to new situations, a model is trained on a set of data and can solve problems with new sets of data. What Are Modeling Tools?

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

Domino Data Lab

MAY 20, 2021

We present the inner workings of the SMOTE algorithm and show a simple “from scratch” implementation of SMOTE. Machine Learning algorithms often need to handle highly-imbalanced datasets. Here is a simplified version of the SMOTE algorithm: import random import pandas as pd import numpy as np.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

datapine

DECEMBER 11, 2019

Learn what will enhance the SaaS infrastructure in our free cheat sheet! Learn what will enhance the SaaS infrastructure in our free cheat sheet! The first of our most impactful trends in SaaS is of the autonomous, self-learning variety. Exclusive Bonus Content: Get The Top 10 Saas Trends Handbook! 1) Artificial Intelligence.

Software 314

Software Cost-Benefit Data Processing Data-driven 314

DataKitchen

FEBRUARY 4, 2021

This blog builds on earlier posts that defined Kitchens and showed how they map to technical environments. In this blog, we’re going to focus on version control, i.e. the branch and merge component of continuous integration. We’ll cover the remaining elements of the development and deployment process in future blogs.

Testing 147

Testing Software Management Data Analytics 147

datapine

NOVEMBER 19, 2019

Get the inside scoop and learn all the new buzzwords in tech for 2020! AI refers to the autonomous intelligent behavior of software or machines that have a human-like ability to make decisions and to improve over time by learning from experience. Get the inside scoop and learn all the new buzzwords in tech for 2020!

Technology 279

Technology Internet of Things IT IoT 279

datapine

OCTOBER 21, 2020

Then, they could use machine learning to find the most accurate algorithms that predicted future admissions trends. 7) Big Data Might Just Cure Cancer. 14) Learning & Development. To keep the institution running at optimum capacity, you have to encourage continual learning and development.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

IBM Big Data Hub

AUGUST 16, 2022

For the USTA — as with all our clients — IBM is committed to delivering explainable AI , following processes that allow people to understand and trust the results and output produced by machine learning algorithms. Learn more about how IBM and the USTA engage fans at the 2022 US Open.

Statistics 109

Statistics Unstructured Data Machine Learning Consulting 109