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. For machine learning systems used in consumer internet companies, models are often continuously retrained many times a day using billions of entirely new input-output pairs.

Management 332

Management Machine Learning Experimentation Metrics 332

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 135

IT Risk Cost-Benefit Risk Management 135

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

Strategy 134

Strategy Data Processing Experimentation Optimization 134

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 90

Cost-Benefit Modeling Manufacturing Interactive 90

CIO Business Intelligence

MARCH 10, 2022

Fujitsu remains very much interested in the mainframe market, with a new model still on its roadmap for 2024, and a move under way to “shift its mainframes and UNIX servers to the cloud, gradually enhancing its existing business systems to optimize the experience for its end-users.”

Sales 128

Sales Testing Experimentation Data Processing 128

Occam's Razor

MAY 22, 2006

This post is a primer on the delightful world of testing and experimentation (A/B, Multivariate, and a new term from me: Experience Testing). Experimentation and testing help us figure out we are wrong, quickly and repeatedly and if you think about it that is a great thing for our customers, and for our employers. Counter claims?

Experimentation 103

Experimentation Testing Optimization Measurement 103

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.

Risk 121

Risk Experimentation Marketing Risk Management 121

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.

Cost-Benefit 90

Cost-Benefit Visualization Modeling Machine Learning 90

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

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.

Data Analytics 52

Data Analytics Analytics Experimentation Data-driven 52

DataRobot

JUNE 10, 2021

Traditionally, experimentation and observation was the only way to understand the physical-chemical properties of the molecule. To foster innovation in this area, AICrowd hosted a competition to predict the olfactory properties of a molecule. The best model for this dataset is a Keras-based neural network.

Metrics 52

Metrics Machine Learning Visualization Experimentation 52

CIO Business Intelligence

APRIL 26, 2023

More than an experimental group, they hold themselves accountable the same way any startup should. Using rapid ideation, agile methodologies, incubation, and validation, the group employs startup thinking with a venture capital (VC) backing model, which brings together committed, diverse teams of experts at the top of their technical fields.

Technology 52

Technology Marketing Experimentation Modeling 52

Ontotext

NOVEMBER 2, 2023

However, it will take effort to formalize a shared semantic model that can be mapped to data assets, and turn unstructured data into a format that can be mined for insight. And while there is a great deal of experimentation underway, most organizations have only scratched the surface in a use-case-by-use-case fashion.

IT 69

IT Cost-Benefit Data-driven Technology 69

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 99

Testing Experimentation Management Metadata 99

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.

Experimentation 95

Experimentation Statistics Testing Strategy 95

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

Business Over Broadway

MAY 22, 2019

I was invited as a guest in a weekly tweet chat that is hosted by Annette Franz and Sue Duris. According to Gartner, companies need to adopt these practices: build culture of collaboration and experimentation; start with a 3-way partnership among executives leading digital initiative, line of business and IT.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

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 307

Testing Machine Learning Consulting Data Quality 307

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 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

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

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 Modeling Experimentation Visualization 94

Occam's Razor

JUNE 4, 2018

Not easy, but your business model has to change to survive.). Social cues (/proof) can help create a sense of urgency for a whole host of companies. (If you are in this category, know that the last “secret” of ecommerce is that figuring out how to weaponize shipping – and free returns – is a powerful conversion increasing engine.

Strategy 124

Strategy Cost-Benefit Testing Sales 124

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 76

Machine Learning Experimentation Data Lake Data Processing 76

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

AWS Big Data

MARCH 20, 2023

Personalized recommendations – User behavior based on clickstream events can be captured up to the last second before enriching it for personalization and sending it to the model to predict the recommendations. Operational dashboards are hosted on Grafana integrated with Druid.

Analytics 52

Analytics Slice and Dice Data Processing Data Lake 52

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

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. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

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.

Analytics 90

Analytics Modeling Visualization Dashboards 90

Ontotext

MAY 18, 2020

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

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 Machine Learning Data Science Data-driven 105

AWS Big Data

JULY 26, 2023

The vector engine supports the popular distance metrics such as Euclidean, cosine similarity, and dot product, and can accommodate 16,000 dimensions, making it well-suited to support a wide range of foundational and other AI/ML models. You can choose to host your collection on a public endpoint or within a VPC.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

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 85

Metadata Data Lake Optimization Strategy 85

AWS Big Data

JULY 20, 2023

This data is sent to Apache Kafka, which is hosted on Amazon Managed Streaming for Apache Kafka (Amazon MSK). Amazon SageMaker is used to build, train, and deploy a range of ML models. Additionally, SageMaker training jobs are employed for training the models. This ensures that the data is suitable for training purposes.

Data Lake 86

Data Lake Analytics Snapshot Optimization 86

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

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 Experimentation 98

DataRobot

APRIL 29, 2021

Eric Weber is Head of Experimentation And Metrics for Yelp. Mark will be speaking on the topic, Executive Track: AI Operations and the Importance of Monitoring Models. Rob will be speaking on the topic, Technology Track: Predictive Healthcare Analytics Democratization.

Machine Learning 59

Machine Learning Experimentation Data-driven Data Science 59