O'Reilly on Data

APRIL 19, 2021

In our 2020 survey, which reached the same audience, we had 1,239 responses. 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. This year, we had a total of 5,154. Respondents.

Enterprise 356

Enterprise Modeling Risk Manufacturing 356

Dataiku

MARCH 25, 2024

This scenario is not science fiction but a glimpse into the capabilities of Multimodal Large Language Models (M-LLMs), where the convergence of various modalities extends the landscape of AI. But instead, a machine seamlessly identifies the scene and its location, provides a detailed description, and even suggests nearby attractions.

Visualization 132

Visualization Modeling Experimentation Testing 132

CIO Business Intelligence

MAY 31, 2022

These new, digitally enhanced worlds, realities, and business models are poised to revolutionize both life and enterprise in the next decade, as explored in Accenture’s recent Technology Vision 2022 report. billion in 2020 , is expected to reach $184.5 However, of all the data created in 2020, only 10.6% billion by 2030.

Technology 113

Technology Experimentation Interactive IoT 113

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 124

Sales Testing Experimentation Data Processing 124

AWS Big Data

AUGUST 21, 2023

Amazon OpenSearch Service has long supported both lexical and vector search, since the introduction of its kNN plugin in 2020. For the demo, we’re using the Amazon Titan foundation model hosted on Amazon Bedrock for embeddings, with no fine tuning. With OpenSearch’s Search Comparison Tool , you can compare the different approaches.

Data Processing 93

Data Processing Experimentation Visualization Metrics 93

CIO Business Intelligence

JUNE 7, 2023

Proof of this is the KSA Cloud First Policy, announced in October 2020 by Saudi Arabia’s Ministry of Communications and InformationTechnologies, after the launch of a cloud data center in the city of Jeddah, by Oracle.

Digital Transformation 99

Digital Transformation Experimentation Technology Testing 99

CIO Business Intelligence

MAY 8, 2023

It eliminates a lot of experimentation time … and accelerates our research quite dramatically.” We have worked closely with them as an innovation partner specifically in this area since between 2019 and 2020 when [CAS] started to refresh its business model and have a services organization,” Wilmot says.

Manufacturing 69

Manufacturing Experimentation Digital Transformation Technology 69

CIO Business Intelligence

SEPTEMBER 12, 2022

So much has changed since the early days of 2020 when the COVID-19 pandemic forced organizations to rethink where and how people work. Prioritize time for experimentation. The team was given time to gather and clean data and experiment with machine learning models,’’ Crowe says. Iliya Rybchin, partner, Elixirr Consulting.

Experimentation 129

Experimentation Consulting Technology Machine Learning 129

Insight

MARCH 12, 2020

The AIgent was built with BERT, Google’s state-of-the-art language model. In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Features: DistilBERT Text Embeddings Once I had a raw dataset, I could begin engineering features and building a natural language processing (NLP) model.

Modeling 59

Modeling Metadata Publishing Sales 59

Rocket-Powered Data Science

JULY 6, 2021

The year 2020 was remarkably different in many ways from previous years. I provide below my perspective on what was interesting, innovative, and influential in my watch list of the Top 10 data innovation trends during 2020. the monitoring of very important operational ML characteristics: data drift, concept drift, and model security).

Machine Learning 279

Machine Learning Data-driven IoT Deep Learning 279

Cloudera

AUGUST 20, 2020

2020 may well go down as the year where what seems impossible today, did become possible tomorrow. Acceptance that it will be an experiment — ML really requires a lot of experimentation, and often times you don’t know what’s going to be successful. It’s been a year filled with disruption and uncertainty.

Enterprise 124

Enterprise Experimentation Uncertainty Deep Learning 124

Ontotext

MARCH 29, 2021

retrieved "2020-02-13"^^ xsd:dateTime. retrieved "2020-02-13"^^ xsd:dateTime. The feature immediately received extreme interest also from ontology modelers who struggled to express complex relationships in a short and concise way. Now every PG can be efficiently represented as an RDF model. webpage <[link] 4.

Metadata 59

Metadata IT Modeling Experimentation 59

IBM Big Data Hub

DECEMBER 14, 2023

Another year has passed—it felt like the whole world was talking about and trying out tools powered by generative AI and Large Language Models (LLMs). The extension of the CIO office’s dedicated data center to the IBM public cloud allowed for experimentation and growth with zero risk.

Experimentation 66

Experimentation Testing Software Management 66

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 310

Enterprise Deep Learning Data Governance Risk 310

CIO Business Intelligence

MARCH 21, 2022

Data science is a fast growing field, with the BLS predicting job growth of 22% from 2020 to 2030. The more high-quality data available to data scientists, the more parameters they can include in a given model, and the more data they will have on hand for training their models. Data scientist salary.

Unstructured Data 134

Unstructured Data Data Analytics Analytics Structured Data 134

bridgei2i

APRIL 28, 2020

Are they going to look at, you know, maybe new business models using data? Now, the other thing that we find a number of companies are doing is looking for new revenue models. But what we’ve come up with is a way of helping companies monetize their customer data through what we call an inverted data monetization model.

Enterprise 103

Enterprise Data Analytics Analytics Forecasting 103

Business Over Broadway

MAY 22, 2019

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. Remember that digital transformation is about transforming your business and operating models with technology.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

CIO Business Intelligence

NOVEMBER 4, 2022

By 2020, IT had moved roughly 60% of all company data to the cloud — no minor task for an international firm that generated $16 billion in revenue in 2021, employs more than 10,000 people, and holds nine FDA- and EMA-approved drugs with an additional 30 in clinical trials. “If you are not on the cloud, you are going to be left behind.”

Data Lake 112

Data Lake IT Experimentation Data-driven 112

Rocket-Powered Data Science

OCTOBER 16, 2020

We build models to test our understanding, but these models are not “one and done.” In ML, the learning cycle is sometimes called backpropagation, where the errors (inaccurate predictions) of our models are fed back into adjusting the model’s input parameters in a way that aims to improve the output accuracy.

Digital Transformation 142

Digital Transformation Experimentation Data Strategy Data Science 142

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. Acquired by Informatica, July 2020) . Hydrosphere.io — Deploys batch Spark functions, machine-learning models, and assures the quality of end-to-end pipelines.

Testing 300

Testing Machine Learning Consulting Data Quality 300

Cloudera

DECEMBER 13, 2022

Consider the fact that the SolarWinds Orion supply chain breach (attributed to Russia) from 2020 continues to make news , with many customers still in the dark as to whether they were compromised or not. To learn more, read our technical brief: Securely Train and Deploy Machine Learning Models in Production with Cloudera Data Platform.

Machine Learning 80

Machine Learning Experimentation Data Lake Data Processing 80

CIO Business Intelligence

FEBRUARY 3, 2023

More recently, The Royal Mint has evolved its business model in the face of declining cash usage, from its core business of coins and metal manufacturing through to bullion trading, a new consumer business and jewellery line, as well as tentative steps into digital gold and recycling e-waste.

IT 52

IT Experimentation Scorecard Digital Transformation 52

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

FEBRUARY 12, 2020

for model serving (experimental), are implemented with Ray internally for its scalable, distributed computing and state management benefits, while providing a domain-specific API for the purposes they serve. Motivations for Ray: Training a Reinforcement Learning (RL) Model. Handling Stateful Computation with an Actor Model.

Experimentation 137

Experimentation Modeling Data Science Management 137

O'Reilly on Data

JULY 25, 2023

I’m a professor who is interested in how we can use LLMs (Large Language Models) to teach programming. Here’s how I worked on it: I subscribed to ChatGPT Plus and used the GPT-4 model in ChatGPT (first the May 12, 2023 version, then the May 24 version) to help me with design and implementation. and chrono-node. homepage.

Consulting 246

Consulting Interactive Software IT 246

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

CIO Business Intelligence

AUGUST 1, 2023

During keynotes and discussions with CIOs, I remind everyone how strategic priorities evolve significantly every two years or less, from growth in 2018, to pandemic and remote work in 2020, to hybrid work and financial constraints in 2022. It might actually be worth something by cleaning it up and using an LLM.”

Digital Transformation 98

Digital Transformation Unstructured Data Strategy Experimentation 98

O'Reilly on Data

JANUARY 7, 2020

At the same time, current AI systems rely on data-hungry models, so AI experts will require high-quality data and a secure and efficient data pipeline. That’s why we decided to merge the 2020 O’Reilly AI and Strata Data Conferences in San Jose, London, and New York. New models and methods are emerging.

Deep Learning 178

Deep Learning Machine Learning Experimentation Modeling 178