DataRobot Blog

JANUARY 10, 2023

Most, if not all, machine learning (ML) models in production today were born in notebooks before they were put into production. Data science teams of all sizes need a productive, collaborative method for rapid AI experimentation. A host of open-source libraries. Capabilities Beyond Classic Jupyter for End-to-end Experimentation.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

CIO Business Intelligence

JUNE 13, 2024

Proof that even the most rigid of organizations are willing to explore generative AI arrived this week when the US Department of the Air Force (DAF) launched an experimental initiative aimed at Guardians, Airmen, civilian employees, and contractors. For now, AFRL is experimenting with self-hosted open-source LLMs in a controlled environment.

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CIO Business Intelligence

JUNE 21, 2024

The AI data center pod will also be used to power MITRE’s federal AI sandbox and testbed experimentation with AI-enabled applications and large language models (LLMs). MITRE hosts monthly AI workshops with its employees to instruct on effective chat prompting and to help its employees understand the nuances of prompt engineering.

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The Unofficial Google Data Science Blog

JULY 22, 2020

For example, consider a smaller website that is considering adding a video hosting feature to increase engagement on the site. Instead, we focus on the case where an experimenter has decided to run a full traffic ramp-up experiment and wants to use the data from all of the epochs in the analysis.

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CIO Business Intelligence

SEPTEMBER 12, 2024

These same decision-makers identify a host of challenges in implementing generative AI, so chances are that a significant portion of use is “unsanctioned.” Generative AI models can perpetuate and amplify biases in training data when constructing output. Models can produce material that may infringe on copyrights.

Experimentation 111

Experimentation Risk Cost-Benefit Strategy 111

CIO Business Intelligence

AUGUST 14, 2024

It’s embedded in the applications we use every day and the security model overall is pretty airtight. Microsoft has also made investments beyond OpenAI, for example in Mistral and Meta’s LLAMA models, in its own small language models like Phi, and by partnering with providers like Cohere, Hugging Face, and Nvidia. That’s risky.”

Enterprise 136

Enterprise Cost-Benefit Experimentation Modeling 136

CIO Business Intelligence

NOVEMBER 21, 2023

Still, there is a steep divide between rogue and shadow IT, which came under discussion at a recent Coffee with Digital Trailblazers event I hosted. Without a strong delivery model and communication plan, frustrated business stakeholders are likelier to buy and try implementing a technology solution without IT’s involvement.

IT 137

IT Risk Cost-Benefit Data Science 137

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. We recently announced DataRobot’s new Hosted Notebooks capability. Learn more about DataRobot hosted notebooks.

Data Processing 72

Data Processing Experimentation Machine Learning Data Warehouse 72

CIO Business Intelligence

DECEMBER 6, 2023

Its digital transformation began with an application modernization phase, in which Dickson and her IT teams determined which applications should be hosted in the public cloud and which should remain on a private cloud. We’re planning to have that fully hosted with us.

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Manufacturing Data Lake Digital Transformation Machine Learning 97

Domino Data Lab

JUNE 10, 2020

We’re introducing groundbreaking new features – including On-demand Spark clusters, enhanced project management, and the ability to export models – that give enterprises unprecedented power to scale their data science capabilities by addressing common struggles. I’m also proud to announce an exciting new product: Domino Model Monitor (DMM).

Data Science 82

Data Science Enterprise Experimentation Modeling 82

AWS Big Data

AUGUST 21, 2023

For the demo, we’re using the Amazon Titan foundation model hosted on Amazon Bedrock for embeddings, with no fine tuning. If you are interested in exploring the multi-modal model, please reach out to your AWS specialist. With OpenSearch’s Search Comparison Tool , you can compare the different approaches.

Data Processing 98

Data Processing Visualization Experimentation Metrics 98

CIO Business Intelligence

NOVEMBER 2, 2023

It depends on what business model you’re in. A self-hosted infrastructure is time-intensive, demands specialized expertise, and comes with significant expenses.” Opting for a managed cloud offering allows organizations to focus on delivering business value and driving adoption,” he says. “A

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Strategy Data Processing Experimentation Optimization 140

CIO Business Intelligence

JUNE 11, 2024

IT’s mission has transformed — perhaps so should its brand Another approach I recommend is to rebrand IT and recast its mission to modernize its objectives, organizational structure, core competencies, and operating model. What comes first: A new brand or operating model?

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IT Digital Transformation Broadcasting Business Objectives 136

CIO Business Intelligence

APRIL 14, 2023

In fact, it’s likely your organization has a large number of employees currently experimenting with generative AI, and as this activity moves from experimentation to real-life deployment, it’s important to be proactive before unintended consequences happen. This may include developing training videos and hosting live sessions.

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Risk Experimentation Marketing Risk Management 122

DataRobot Blog

MARCH 16, 2023

release, we’ve made it easy for you to rapidly prepare data, engineer new features and subsequently automate model deployment and monitoring into your Snowflake data landscape, all with limited data movement. We’ve tightened the loop between ML data prep , experimentation and testing all the way through to putting models into production.

Modeling 52

Modeling Experimentation Machine Learning Data-driven 52

Cloudera

MAY 31, 2023

Riding the wave of the generative AI revolution, third party large language model (LLM) services like ChatGPT and Bard have swiftly emerged as the talk of the town, converting AI skeptics to evangelists and transforming the way we interact with technology. How can enterprises address these challenges?

Enterprise 74

Enterprise Data Processing Machine Learning Experimentation 74

Cloudera

DECEMBER 13, 2022

The attack targeted a host of public and private sector organizations (18,000 customers) including NASA, the Justice Department, and Homeland Security, and it is believed the attackers persisted on SolarWinds systems for 14 months prior to discovery. Operationalize ML with the Cloudera Data Platform.

Machine Learning 78

Machine Learning Experimentation Data Lake Data Processing 78

CIO Business Intelligence

AUGUST 1, 2023

The impact of generative AIs, including ChatGPT and other large language models (LLMs), will be a significant transformation driver heading into 2024. Define a game-changing LLM strategy At a recent Coffee with Digital Trailblazers I hosted, we discussed how generative AI and LLMs will impact every industry.

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Data Science 98

DataRobot

SEPTEMBER 14, 2021

And for those that do make it past the experimental stage, it typically takes over 18 months for the value to be realized. Accurate models today become inaccurate tomorrow. Models often degrade fast in production as they encounter unexpected conditions in the real world. Challenge to keep production models fair and ethical.

Machine Learning 94

Machine Learning Experimentation Modeling Visualization 94

CIO Business Intelligence

JUNE 6, 2023

And the market for doing so remains robust for corporations looking to make the most of the model. For example, startups are likelier to have advanced devops practices that enable continuous deployments and feature experimentation. Large enterprises have a wealth of experience and industry knowledge that can be invaluable to startups.

Key Performance Indicator 105

Key Performance Indicator Cost-Benefit Enterprise Experimentation 105

CIO Business Intelligence

SEPTEMBER 12, 2024

Whether you are powering AI models or traditional information systems, you need foundational resources to implement and maintain. Software development and a host of other jobs will become vulnerable due to the latest tectonic shift: the growth of generative AI.” We still need the fundamentals.

Management 115

Management IT Experimentation Technology 115

AWS Big Data

JANUARY 9, 2024

Traditional lexical search, based on term frequency models like BM25, is widely used and effective for many search applications. Semantic search In semantic search, the search engine uses an ML model to encode text or other media (such as images and videos) from the source documents as a dense vector in a high-dimensional vector space.

Visualization 116

Visualization Cost-Benefit Modeling Machine Learning 116

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. trillion on retail businesses through 2029.

Unstructured Data 90

Unstructured Data Cost-Benefit Machine Learning Experimentation 90

Cloudera

OCTOBER 8, 2024

This service supports a range of optimized AI models, enabling seamless and scalable AI inference. By 2023, the focus shifted towards experimentation. Enterprise developers began exploring proof of concepts (POCs) for generative AI applications, leveraging API services and open models such as Llama 2 and Mistral.

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Optimization Experimentation Metrics Enterprise 75

DataRobot Blog

FEBRUARY 9, 2022

This approach gives freedom to move its AI artifacts around, regardless of whether they are hosted on a major cloud platform or its own on-premise infrastructure. Machine learning operations (MLOps) solutions allow all models to be monitored from a central location, regardless of where they are hosted or deployed.

IT 52

IT Experimentation Machine Learning Data Processing 52

DataRobot Blog

NOVEMBER 15, 2022

A packed keynote session showed how repeatable workflows and flexible technology get more models into production. Our in-booth theater attracted a crowd in Singapore with practical workshops, including Using AI & Time Series Models to Improve Demand Forecasting and a technical demonstration of the DataRobot AI Cloud platform.

Big Data 52

Big Data Experimentation Machine Learning Data-driven 52

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

Sisense

JULY 15, 2020

COVID-19 required a worldwide coordinated response of medical professionals, data teams, logistics organizations, and a whole host of other experts to try to flatten the curve, improve treatments, and ultimately develop lasting remedies. The better option was to perform the model’s calculations only once the parameters were set.

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Analytics Modeling Visualization Dashboards 90

Occam's Razor

DECEMBER 9, 2009

Who owns the power to make changes to the site (not who owns updating pages or hosting the site)? Which physical organizational model will work best for you? My organization redesign plans have recommended either one of the three models. If you are executing on a centralized model be aware of the pros and cons.

Analytics 95

Analytics Data-driven Marketing Sales 95

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. AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

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. Introduction. BTW, videos for Rev2 are up: [link]. That’s impressive.

Metadata 105

Metadata Data Science Machine Learning Data-driven 105

AWS Big Data

JUNE 12, 2024

This module is experimental and under active development and may have changes that aren’t backward compatible. This module provides higher-level constructs (specifically, Layer 2 constructs ), including convenience and helper methods, as well as sensible default values. cluster = aws_redshift_alpha.Cluster( scope, cluster_identifier, #.

Data Architecture 114

Data Architecture Cost-Benefit Data-driven Experimentation 114

AWS Big Data

MAY 2, 2023

The workflow steps are as follows: The producer DAG makes an API call to a publicly hosted API to retrieve data. Removal of experimental Smart Sensors. The latter is only needed if it’s a different bucket than the Amazon MWAA bucket. The following diagram illustrates the solution architecture. Apache Airflow v2.4.3 Airflow v2.4.0

Testing 124

Testing Experimentation Management Metadata 124

AWS Big Data

SEPTEMBER 13, 2024

The AWS pay-as-you-go model and the constant pace of innovation in data processing technologies enable CFM to maintain agility and facilitate a steady cadence of trials and experimentation. CFM data scientists then look up the data and build features that can be used in our trading models.

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Interactive Strategy Cost-Benefit Data Governance 97

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 Manufacturing Modeling Interactive 89

Cloudera

JUNE 6, 2019

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. This duplication can become such a management nightmare that they may prefer to return to the original model and simply live with noisy neighbors. Cloudera Manager (CM) 6.2

Metadata 86

Metadata Data Lake Optimization Strategy 86

DataRobot

FEBRUARY 17, 2021

As host of the DataRobot More Intelligent Tomorrow podcast , I’m constantly impressed and delighted by the fascinating people that I have a chance to talk to. There is a whole section of the Army that is focused on research and development and experimentation.”. The raw ingredients are rarely model-ready,” she says.

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Data Analytics Analytics Experimentation Data-driven 52