IBM Big Data Hub

APRIL 18, 2024

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. Most experts categorize it as a powerful, but narrow AI model. A key trend is the adoption of multiple models in production.

Cost-Benefit 89

Cost-Benefit Modeling Manufacturing Interactive 89

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Smart Data Collective

FEBRUARY 20, 2022

Its cost-effective service solutions ensure that you can optimize costs, organize data, and provide access controls to meet your business, organizational, and regulatory needs. AWS also offers a variety of AI model development and delivery platforms , as well as packaged AI-based applications. Management of data. Easy to use.

Cost-Benefit 116

Cost-Benefit Data Lake Software Machine Learning 116

CIO Business Intelligence

JUNE 2, 2022

The system, which develops in-depth 3D subsoil models to see up to 15 kilometers underground, led to the discovery of Zohr , the largest known natural gas field in the Mediterranean. For optimizing existing resources, Eni uses HPC5 to model, study, and ultimately improve refinement operations. .

Informatics 80

Informatics Modeling Testing Technology 80

CIO Business Intelligence

JANUARY 4, 2023

Recently members of our community came together for a roundtable discussion, hosted by Dell Technologies, about trends, trials, and all the excitement around what’s next. Advances in Artificial Intelligence and Machine Learning (AI/ML): AI/ML will continue growing as an important workload in HPC.

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. A lot to learn, but worthwhile to access the unique and special value AI can create in the product space. Models also become stale and outdated over time.

Management 339

Management Machine Learning Experimentation Metrics 339

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. Observe, optimize, and scale enterprise data pipelines. . GitHub – A provider of Internet hosting for software development and version control using Git.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Cloudera

SEPTEMBER 12, 2018

AbbVie’s platform uses analytics and machine learning, including natural language processing, deep learning, and unsupervised learning, to proactively identify issues and opportunities. Brian Carpenter , Co-Host, The Hot Aisle Podcast, @intheDC. Cloud Success: . FairVentures Lab (nominated by Cazena ).

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

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 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

IBM Big Data Hub

NOVEMBER 14, 2023

Internal data monetization initiatives measure improvement in process design, task guidance and optimization of data used in the organization’s product or service offerings. IBM watsonx.data offers connectivity flexibility and hosting of data product lakehouses built on Red Hat OpenShift for an open hybrid cloud deployment.

Strategy 104

Strategy Cost-Benefit Data-driven Measurement 104

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. SQL optimization provides helpful analogies, given how SQL queries get translated into query graphs internally , then the real smarts of a SQL engine work over that graph. Introduction. BTW, videos for Rev2 are up: [link].

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

DataRobot Blog

DECEMBER 20, 2022

In this context, an augmented intelligence approach around the data will be increasingly more critical for asset managers, investors, and real estate developers to ensure a better understanding of the real estate assets and take better decisions aimed at optimizing both the Net Asset Value and the Net Operating Income.

Management 59

Management Machine Learning Optimization Modeling 59

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Introduction.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

BizAcuity

JUNE 16, 2022

It is hosted by public cloud providers such as AWS or Azure and are the most popular of the lot. This model has recently garnered a lot of attention. Under this model, the strategy is to make use of both private (for highly confidential data) and public cloud infrastructure for cost and performance optimization.

Data-driven 52

Data-driven IoT Data Processing Optimization 52

Smart Data Collective

MAY 17, 2021

All that performance data can be fed into a machine learning tool specifically designed to identify certain events, failures or obstacles. Predictive models, estimates and identified trends can all be sent to the project management team to speed up their decisions. That’s also where big data can step in and vastly expand ops.

Big Data 101

Big Data Cost-Benefit IoT Machine Learning 101

Domino Data Lab

JANUARY 14, 2019

This blog post provides insights on how to use the SHAP and LIME Python libraries in practice and how to interpret their output, helping readers prepare to produce model explanations in their own work. In Part 2 we explore these libraries in more detail by applying them to a variety of Python models. Introduction. random_state=0).

Testing 89

Testing Modeling Deep Learning Data Science 89

datapine

NOVEMBER 19, 2019

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. This feature hierarchy and the filters that model significance in the data, make it possible for the layers to learn from experience.

Technology 279

Technology Internet of Things IT IoT 279

Domino Data Lab

MARCH 29, 2021

Maintaining the cluster and the underlying infrastructure configuration can be a complex and time-consuming task Lack of GPU acceleration – Complex machine workloads, especially the ones involving Deep Learning, benefit from GPU architectures that are well adapted for vector and matrix operations.

Cost-Benefit 98

Cost-Benefit Machine Learning Testing Interactive 98

Domino Data Lab

JULY 9, 2019

He advocated that an impactful ML solution does not end with Google Slides but becomes “a working API that is hosted or a GUI or some piece of working code that people can put to work” Wiggins also dove into examples of applying unsupervised, supervised, and reinforcement learning to address business problems.

Data Science 112

Data Science Machine Learning Advertising Modeling 112

O'Reilly on Data

JANUARY 25, 2021

Models are neither code nor data, and we don’t have adequate tools for versioning models either (though tools like MLflow are a start). Frequent deployment assumes that the software can be built relatively quickly, but training a model can take days. We don’t yet have adequate tools for versioning data (though DVC is a start).

Machine Learning 363

Machine Learning Software Testing Technology 363

Occam's Razor

OCTOBER 12, 2017

Optimal Starting SCOTUS Starting Points. Some cases are very dear to me, I truly love them, there is a lot to learn from them as you explore the back and forth of the debate, the majority opinion and the dissenting one (or ones). The Future of Life Institute hosted a conference in Asilomar in Jan 2017 with just such a purpose.

Marketing 136

Marketing Analytics Machine Learning Strategy 136

Domino Data Lab

SEPTEMBER 9, 2019

We have configured the default Compute Environment in Domino to include all of the packages, libraries, models, and data you’ll need for this tutorial. That nlp variable is now your gateway to all things spaCy and loaded with the en_core_web_sm small model for English. Getting Started. return "n" join(buf)?. sys.exit(-1).

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110