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. GitHub – A provider of Internet hosting for software development and version control using Git. Azure Repos – Unlimited, cloud-hosted private Git repos. .

Testing 300

Testing Machine Learning Consulting Data Quality 300

DataRobot

DECEMBER 20, 2021

Image recognition is one of the most relevant areas of machine learning. Deep learning makes the process efficient. However, not everyone has deep learning skills or budget resources to spend on GPUs before demonstrating any value to the business. With frameworks like Tensorflow , Keras , Pytorch, etc.,

Visualization 97

Visualization Deep Learning Machine Learning Modeling 97

IBM Big Data Hub

MAY 9, 2023

Over the past decade, deep learning arose from a seismic collision of data availability and sheer compute power, enabling a host of impressive AI capabilities. Data must be laboriously collected, curated, and labeled with task-specific annotations to train AI models. We stand on the frontier of an AI revolution.

Enterprise 129

Enterprise Technology Modeling Cost-Benefit 129

CIO Business Intelligence

OCTOBER 4, 2023

These applications live on innumerable servers, yet some technology is hosted in the public cloud. We’ve been working on this for over a decade, including transformer-based deep learning,” says Shivananda. PayPal’s deep learning models can be trained and put into production in two weeks, and even quicker for simpler algorithms.

Digital Transformation 117

Digital Transformation Deep Learning Data Lake Risk 117

O'Reilly on Data

FEBRUARY 4, 2019

As interest in machine learning (ML) and AI grow, organizations are realizing that model building is but one aspect they need to plan for. Machine Learning model lifecycle management. As noted above, ML and AI involves more than model building. Deep Learning. Text and Language processing and analysis.

Machine Learning 276

Machine Learning Enterprise IoT Big Data 276

CIO Business Intelligence

DECEMBER 20, 2023

Since the last mile process is highly agile, CIOs must ensure the software systems have built-in deep learning capabilities to make in-the-moment decisions. For example, Uber and Zomato use a deep learning algorithm that considers driver location and overall ratings while mapping them to particular orders/bookings.

Software 92

Software Deep Learning B2B Cost-Benefit 92

CIO Business Intelligence

APRIL 17, 2024

Similarly, clothing brand Under Armour recently produced an ad that used AI-generated 3D models of the British boxer Anthony Joshua, based on videos they took of him in the past. coli or other bacterial hosts to express the proteins. I know that some companies are selling generative AI models based on the public models,” she says.

Enterprise 109

Enterprise Testing Digital Transformation Software 109

IBM Big Data Hub

NOVEMBER 14, 2023

High performing, data-driven organizations have created new business models, utility partnerships and enhanced existing offerings from data monetization that contributes more than 20% to the company’s profitability. Data products come in many forms including datasets, programs and AI models.

Strategy 106

Strategy Cost-Benefit Data-driven Measurement 106

IBM Big Data Hub

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications.

Unstructured Data 91

Unstructured Data Cost-Benefit Experimentation Machine Learning 91

Smart Data Collective

JUNE 4, 2021

Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Programming knowledge is needed for the typical tasks of transforming data, creating graphs, and creating data models. Basics of Machine Learning. Machine learning is the science of building models automatically.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

CIO Business Intelligence

APRIL 25, 2022

The course includes instruction in statistics, machine learning, natural language processing, deep learning, Python, and R. It culminates with a capstone project that requires creating a machine learning model. On-site courses are available in Munich. Remote courses are also available. Switchup rating: 5.0 (out

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

CIO Business Intelligence

JANUARY 23, 2023

As OpenAI’s exclusive cloud provider it will see additional revenue for its Azure services, as one of OpenAI’s biggest costs is providing the computing capacity to train and run its AI models. The deal, announced by OpenAI and Microsoft on Jan. Additionally, it may not always be able to understand or respond to certain inputs correctly.”

Enterprise 130

Enterprise Deep Learning Recreation/Entertainment Interactive 130

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

JANUARY 26, 2024

The AI program focuses on the principles and technologies that underlie AI, including logic, knowledge representation, probabilistic models, and machine learning. Stanford offers both PhDs and an MSCS with an AI specialization.

Machine Learning 95

Machine Learning Statistics Recreation/Entertainment Data Science 95

Cloudera

OCTOBER 1, 2022

If the organization had any experience with machine learning, it was concentrated in some team that was tucked away in a dark corner somewhere that maybe had years of experience building out some niche use case like a fraud model at a credit card company or churn models at a phone company. Governance used to be very inflexible.

Data Governance 73

Data Governance Strategy Enterprise Machine Learning 73

Domino Data Lab

OCTOBER 9, 2019

NOAA hosts a unique concentration of the world’s climate science research throughout its labs and other centers, with experts in closely adjacent fields: polar ice, coral reef health, sunny day flooding, ocean acidification, fisheries counts, atmospheric C02, sea-level rise, ocean currents, and so on. How cool is that?!

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

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 55

Machine Learning Data Science Statistics Deep Learning 55

Data Science 101

DECEMBER 11, 2019

Every year they host an excellent and influential conference focusing on many areas of data science. Topics of interest include artificial intelligence, big data, data analytics, data science, data mining, deep learning, knowledge graphs, machine learning, relational databases and statistical methods. 1989 to be exact.

KDD 81

KDD Knowledge Discovery Data mining Statistics 81

CIO Business Intelligence

APRIL 13, 2023

For instance, if you start with a Monet painting and use an extended generative AI model trained on all Monet artwork and complementary artists, you can create an input dataset that includes images by the artist. Here are some key guidelines: Model simplification. For that, generative AI needs explainability. Interpretability tools.

Modeling 61

Modeling Deep Learning Data-driven Data Processing 61

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 91

Cost-Benefit Modeling Manufacturing Interactive 91

CIO Business Intelligence

MAY 20, 2022

The AI program focuses on the principles and technologies that underlie AI, including logic, knowledge representation, probabilistic models, and machine learning. Stanford offers both PhDs and an MSCS with an AI specialization. University of California–Berkeley.

Machine Learning 141

Machine Learning Statistics Recreation/Entertainment Data Science 141

DataRobot Blog

MARCH 7, 2023

Organizations that want to prove the value of AI by developing, deploying, and managing machine learning models at scale can now do so quickly using the DataRobot AI Platform on Microsoft Azure. Models trained in DataRobot can also be easily deployed to Azure Machine Learning, allowing users to host models easier in a secure way.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

bridgei2i

MAY 14, 2019

BRIDGEi2i is pleased to host Alex Smola – VP & Distinguished Scientist at AWS for an informative and hands-on learning session on Computer Vision GluconCV & D2L.ai Smola will be touching upon Computer Vision – an integral application of deep learning, and in particular on MXNet Glucon.

Contextual Data 63

Contextual Data Deep Learning Data Processing Consulting 63

Cloudera

SEPTEMBER 20, 2022

The state of the art in AI systems for artistic tasks almost universally use deep-learning models, which presuppose a significant amount of compute resources both to create them, and once created to continue to use them for producing images. The content of these data sets may introduce problematic bias into a model’s results.

Deep Learning 87

Deep Learning Cost-Benefit Risk Data-driven 87

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 327

Management Machine Learning Experimentation Metrics 327

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 79

Informatics Modeling Testing Technology 79

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

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 57

Cost-Benefit Machine Learning Modeling Uncertainty 57

CDW Research Hub

NOVEMBER 12, 2020

For example, If the data is in a data center, you should strongly consider model training as close to it as possible. The first business lesson many companies learn the hard way is that AI projects are iterative and never-ending. The location of the data should influence where it is processed. Sometimes, faster is just faster!

ROI 79

ROI Deep Learning Machine Learning Business Objectives 79

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 a variety of AI model development and delivery platforms , as well as packaged AI-based applications. Artificial intelligence (AI).

Cost-Benefit 115

Cost-Benefit Data Lake Software Machine Learning 115

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

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

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Using ML models to search more effectively brought the search space down to 102—which can run on modest hardware. Model-Driven Data Queries. of relational databases represent early forms of machine learning.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Insight

MARCH 25, 2020

After reading this, I hope you can learn how to build deep learning models using TensorFlow Keras, productionalize the model as a Streamlit app, and deploy it as a Docker container on Google Cloud Platform (GCP) using Google Kubernetes Engines (GKE). specifically convolutional neural networks (CNN)?—?can

Deep Learning 53

Deep Learning Metrics Data Processing Interactive 53

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. deep learning on edge devices. Getting Started.

Deep Learning 110

Deep Learning Machine Learning Data Science Visualization 110

DataRobot Blog

DECEMBER 20, 2022

Yet, in the digital transformation era, the pricing and assessment of real estate assets is more difficult than described by brokers’ presentations, valuation reports, and traditional analytical approaches like hedonic models. Datarobot enables users to easily combine multiple datasets into a single training dataset for AI modeling.

Management 59

Management Machine Learning Optimization Modeling 59

Insight

AUGUST 17, 2020

This summer, we hosted more than 350 Fellows from across 33 different U.S. The remote experience made it much easier to connect and work with Fellows from other locations, and expanded access to Industry Leader Mentor presentations that are generally restricted to Fellows located in the city where the mentor visit is hosted.

Data Science 63

Data Science Data Processing Cost-Benefit Strategy 63