IBM Big Data Hub

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. What types of projects can open source LLM models enable?

Risk 93

Risk Modeling Cost-Benefit Enterprise 93

O'Reilly on Data

DECEMBER 12, 2019

Not least is the broadening realization that ML models can fail. And that’s why model debugging, the art and science of understanding and fixing problems in ML models, is so critical to the future of ML. Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1]

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Cloudera

FEBRUARY 16, 2022

In this example, the Machine Learning (ML) model struggles to differentiate between a chihuahua and a muffin. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? The extent to which we can predict how the model will classify an image given a change input (e.g. Model Visibility.

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

DataRobot Blog

DECEMBER 15, 2022

AI-powered Time Series Forecasting may be the most powerful aspect of machine learning available today. Working from datasets you already have, a Time Series Forecasting model can help you better understand seasonality and cyclical behavior and make future-facing decisions, such as reducing inventory or staff planning.

Forecasting 81

Forecasting Modeling ROI Machine Learning 81

IBM Big Data Hub

AUGUST 1, 2023

True to their name, generative AI models generate text, images, code , or other responses based on a user’s prompt. But what makes the generative functionality of these models—and, ultimately, their benefits to the organization—possible? That’s where the foundation model enters the picture.

Modeling 56

Modeling Cost-Benefit Data Lake Machine Learning 56

O'Reilly on Data

MAY 21, 2019

Companies successfully adopt machine learning either by building on existing data products and services, or by modernizing existing models and algorithms. I will highlight the results of a recent survey on machine learning adoption, and along the way describe recent trends in data and machine learning (ML) within companies.

Machine Learning 234

Machine Learning Technology Deep Learning Data Science 234

Rocket-Powered Data Science

MAY 21, 2024

And also in the past, it was sufficient for AI to be relegated to academic researchers or R&D departments of big organizations who mostly produced research reports or journal papers, and not much else. In deep learning applications (including GenAI, LLMs, and computer vision), a data object (e.g.,

Cost-Benefit 239

Cost-Benefit Unstructured Data Enterprise Technology 239

CIO Business Intelligence

AUGUST 4, 2022

“AI projects are a team sport and should include a multidisciplinary team spanning business analysts, data engineering, data science, application development, and IT operations and security,” according to Moor Insights & Strategy in a September 2021 report titled “Hybrid Cloud is the Right Infrastructure for Scaling Enterprise AI.”.

Deep Learning 121

Deep Learning Data Science Enterprise Modeling 121

O'Reilly on Data

APRIL 19, 2021

The percentage of respondents reporting “mature” practices has been roughly the same for the last few years. Relatively few respondents are using version control for data and models. Tools for versioning data and models are still immature, but they’re critical for making AI results reproducible and reliable. Respondents.

Enterprise 353

Enterprise Modeling Risk Manufacturing 353

IBM Big Data Hub

DECEMBER 15, 2023

When AI algorithms, pre-trained models, and data sets are available for public use and experimentation, creative AI applications emerge as a community of volunteer enthusiasts builds upon existing work and accelerates the development of practical AI solutions.

Deep Learning 66

Deep Learning Experimentation Machine Learning Risk 66

O'Reilly on Data

FEBRUARY 11, 2019

The resource examples I’ll cite will be drawn from the upcoming Strata Data conference in San Francisco , where leading companies and speakers will share their learnings on the topics covered in this post. AI and machine learning in the enterprise. AI and machine learning in the enterprise. Deep Learning.

Big Data 207

Big Data Technology Machine Learning Deep Learning 207

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 167

Analytics Machine Learning Data Science Deep Learning 167

IBM Big Data Hub

APRIL 22, 2024

We believe there are three core areas that every organization should focus on: sustainability strategy and reporting; energy transition and climate resilience; and intelligent asset, facility and infrastructure management. Using AI, business teams can “clean” data, manage through gaps, and report across different frameworks.

IoT 79

IoT Internet of Things Cost-Benefit Reporting 79

CIO Business Intelligence

SEPTEMBER 19, 2023

To gain a better understanding of how companies are putting AI to practical use, consultancy Deloitte surveyed 2,620 global business leaders, across 13 countries, as part of its Fueling the AI Transformation report. 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

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. Figure 1 illustrates the framework for Scope 3 emission estimation employing a large language model.

Experimentation 75

Experimentation Modeling Deep Learning Data-driven 75

O'Reilly on Data

MARCH 7, 2019

Language understanding benefits from every part of the fast-improving ABC of software: AI (freely available deep learning libraries like PyText and language models like BERT ), big data (Hadoop, Spark, and Spark NLP ), and cloud (GPU's on demand and NLP-as-a-service from all the major cloud providers). Need more examples?

Deep Learning 224

Deep Learning Testing Machine Learning Modeling 224

Cloudera

FEBRUARY 25, 2021

However, only 4% of enterprise executives today report seeing success from their ML investment. This means that ML development teams can tackle their own ML business use cases more quickly, from those involving churn modeling, to sentiment analysis, to anomaly detection and beyond. Built By Experts At The Leading Edge Of ML innovation.

Deep Learning 83

Deep Learning Machine Learning Forecasting Visualization 83

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. On the machine learning side, we are entering what Andrei Karpathy, director of AI at Tesla, dubs the Software 2.0

Machine Learning 343

Machine Learning Statistics Data Quality Modeling 343

O'Reilly on Data

FEBRUARY 4, 2019

In practice this means developing a coherent strategy for integrating artificial intelligence (AI), big data, and cloud components, and specifically investing in foundational technologies needed to sustain the sensible use of data, analytics, and machine learning. Machine Learning model lifecycle management. Deep Learning.

Machine Learning 276

Machine Learning Enterprise IoT Big Data 276

CIO Business Intelligence

JUNE 21, 2022

But the New York Times recently reported that Chinese researchers had broken the exascale computing barrier, performing a calculation that would have taken the Oak Ridge National Laboratory’s former machines 10,000 years to complete in a mere 304 seconds. . Within the U.S. Big data analytics is being used to uncover crimes. In the U.S.,

Deep Learning 95

Deep Learning Big Data ROI Software 95

Cloudera

OCTOBER 26, 2022

?. It’s no secret that advancements like AI and machine learning (ML) can have a major impact on business operations. In Cloudera’s recent report Limitless: The Positive Power of AI , we found that 87% of business decision makers are achieving success through existing ML programs. Deep Learning for Anomaly Detection : ??

Machine Learning 76

Machine Learning Deep Learning Cost-Benefit Forecasting 76

CIO Business Intelligence

APRIL 25, 2022

It’s a fast growing and lucrative career path, with data scientists reporting an average salary of $122,550 per year , according to Glassdoor. The course includes instruction in statistics, machine learning, natural language processing, deep learning, Python, and R. On-site courses are available in Munich.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

O'Reilly on Data

JULY 28, 2020

Many companies face a problem that’s even worse: no one knows which levers contribute to the metrics that impact business outcomes, or which metrics are important to the company (such as those reported to Wall Street by publicly-traded companies). You must detect when the model has become stale, and retrain it as necessary.

Marketing 361

Marketing Experimentation Metrics Testing 361

IBM Big Data Hub

JULY 11, 2023

AI virtual nurse assistants—which are AI-powered chatbots, apps or other interfaces—can answer questions about medications, forward reports to doctors or surgeons and help patients schedule a visit with a physician. US, German and French researchers used deep learning on more than 100,000 images to identify skin cancer.

Deep Learning 55

Deep Learning Cost-Benefit Insurance Machine Learning 55

CIO Business Intelligence

APRIL 25, 2022

But despite all the money flowing into ML projects, most organizations are struggling to get their ML models and applications working on production systems. . And another recent survey has the worst numbers of all, finding that 90% of ML models are not deployed to production. So what’s the problem? The problem with ML. research.

Machine Learning 126

Machine Learning Enterprise Deep Learning Cost-Benefit 126

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. This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency.

Machine Learning 73

Machine Learning Manufacturing Cost-Benefit Deep Learning 73

CIO Business Intelligence

JUNE 2, 2022

Hot technologies for banks also include 5G , natural language processing (NLP) , microservices architecture , and computer vision, according to Forrester’s recent Top Emerging Technologies in Banking In 2022 report. Almost 33% of respondents claim that machine learning can lead to improved customer experience. 5G aids customer service.

Predictive Analytics 142

Predictive Analytics Technology Analytics Machine Learning 142

IBM Big Data Hub

JANUARY 10, 2024

Data: AI systems learn and make decisions based on data, and they require large quantities of data to train effectively, especially in the case of machine learning (ML) models. For optimal performance, AI models should receive data from a diverse datasets (e.g., The real-world potential of AI is immense.

Unstructured Data 77

Unstructured Data Deep Learning Cost-Benefit Modeling 77

Cloudera

OCTOBER 27, 2020

Our goal is to take the incredible data science and machine learning research developments we see emerging from academia and large industrial labs, and bridge the gap to products and processes that are useful to practitioners working across industries. Evolving Research At Cloudera Fast Forward. Structural Time Series.

Deep Learning 61

Deep Learning Machine Learning Forecasting Uncertainty 61

Smarten

APRIL 19, 2024

OpenAI – Azure OpenAI as the foundational entity for creating GPT models and is based on Large Language Models (LLM). GPT – Is based on a Large Language Model (LLM). Benefits include customized and optimized models, data, parameters and tuning. Open AI was developed by Microsoft.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

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. Models can be designed, for instance, to discover relationships between various behavior factors.

Predictive Analytics 140

Predictive Analytics Analytics Predictive Modeling Forecasting 140

Domino Data Lab

MARCH 3, 2023

OpenAI reportedly used 10,000 NVIDIA GPUs to train ChatGPT, and NVIDIA owns 88% of the GPU market powering model training. As a Diamond sponsor at NVIDIA GTC, March 2023, we’re excited to showcase our latest capabilities around operationalizing AI use cases like deep learning and edge computing across the hybrid- and multi-cloud.

IoT 52

IoT Deep Learning Data Science Reporting 52

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 117

Deep Learning Machine Learning Data Science Cost-Benefit 117

O'Reilly on Data

AUGUST 18, 2020

However, while Cloudera, Hortonworks, and MapR worked well for a set of common data engineering workloads, they didn’t generalize well to workloads that didn’t fit the MapReduce paradigm, including deep learning and new natural language models. Data Science and Machine Learning Require Flexibility.

Data Science 352

Data Science Machine Learning Data Warehouse Deep Learning 352

CIO Business Intelligence

JUNE 7, 2022

But only in recent years, with the growth of the web, cloud computing, hyperscale data centers, machine learning, neural networks, deep learning, and powerful servers with blazing fast processors, has it been possible for NLP algorithms to thrive in business environments. An Industry Redefining Itself.

Unstructured Data 87

Unstructured Data Deep Learning Insurance Interactive 87

CIO Business Intelligence

JUNE 7, 2022

To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. Predictive analytics is often considered a type of “advanced analytics,” and frequently depends on machine learning and/or deep learning.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129