CIO Business Intelligence

FEBRUARY 22, 2024

With the aim to accelerate innovation and transform its digital infrastructures and services, Ferrovial created its Digital Hub to serve as a meeting point where research and experimentation with digital strategies could, for example, provide new sources of income and improve company operations.

IT 93

IT Digital Transformation IoT Cost-Benefit 93

Domino Data Lab

OCTOBER 14, 2020

With our platform, farmers can understand the impact of a particular fertilization strategy and adjust as needed. The introduction of machine learning to the agricultural domain is relatively new. To enable a digital transformation in agriculture we must experiment and learn quickly across the entire model lifecycle.

Experimentation 99

Experimentation Modeling Deep Learning Testing 99

Corinium

JUNE 6, 2019

Beyond that, we recommend setting up the appropriate data management and engineering framework including infrastructure, harmonization, governance, toolset strategy, automation, and operating model. It is also important to have a strong test and learn culture to encourage rapid experimentation.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

O'Reilly on Data

MARCH 31, 2020

This means that the AI products you build align with your existing business plans and strategies (or that your products are driving change in those plans and strategies), that they are delivering value to the business, and that they are delivered on time. AI product estimation strategies.

Management 332

Management Machine Learning Experimentation Metrics 332

Dataiku

MARCH 25, 2024

By leveraging advanced deep learning architectures, M-LLMs can analyze the image and question simultaneously, extracting relevant features from both modalities and synthesizing them into a cohesive understanding. A pilot program conducted from March 2023 to August 2023 aimed to explore responsible deployment strategies for GPT-4V.

Visualization 132

Visualization Modeling Experimentation Testing 132

Domino Data Lab

FEBRUARY 12, 2020

If you’re wondering if Ray should be part of your technical strategy for Python-based applications, especially ML and AI, this post is for you. for reinforcement learning (RL), ? Think of how a game player (or simulator) adapts to the evolving state of a game, improving strategy, trying new tactics, etc. multiprocessing , ?

Experimentation 137

Experimentation Modeling Data Science Management 137

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production.

Cost-Benefit 88

Cost-Benefit Modeling Manufacturing Interactive 88

Domino Data Lab

JULY 2, 2019

Part of the back-end processing needs deep learning (graph embedding) while other parts make use of reinforcement learning. Here’s a sampler of related papers and articles if you’d like to dig in further: “ Synthesizing Programs with Deep Learning ” – Nishant Sinha (2017-03-25). “ Software writes Software?

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Domino Data Lab

JUNE 23, 2019

Pete Skomoroch ’s “ Product Management for AI ”session at Rev provided a “crash course” on what product managers and leaders need to know about shipping machine learning (ML) projects and how to navigate key challenges. It used deep learning to build an automated question answering system and a knowledge base based on that information.

Management 110

Management Machine Learning Experimentation Metrics 110

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. Automated development: With AutoAI , beginners can quickly get started and more advanced data scientists can accelerate experimentation in AI development.

Machine Learning 77

Machine Learning Manufacturing Cost-Benefit Deep Learning 77

DataKitchen

APRIL 13, 2021

Metis Machine — Enterprise-scale Machine Learning and Deep Learning deployment and automation platform for rapid deployment of models into existing infrastructure and applications. Polyaxon — An open-source platform for reproducible machine learning at scale. Kubeflow — The Machine Learning Toolkit for Kubernetes.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. One sample strategy: Expect that I'll ask open-ended questions (If a company has 90% Reach on TV, why the heck do they need digital?). Beautiful, right? SCOTUSblog FTW!

Marketing 136

Marketing Analytics Machine Learning Strategy 136