Analytics Vidhya

DECEMBER 12, 2020

Introduction Read this article on machine learning model deployment using serverless deployment. Serverless compute abstracts away provisioning, managing severs and configuring software, simplifying model. The post Machine Learning Model – Serverless Deployment appeared first on Analytics Vidhya.

Machine Learning 391

Machine Learning Modeling Software Management 391

Analytics Vidhya

AUGUST 26, 2023

Incremental learning represents a dynamic approach in academia, fostering gradual and consistent knowledge assimilation. Unlike conventional methods that inundate learners with vast information, incremental learning dissects intricate subjects into manageable fragments.

Machine Learning 211

Machine Learning Modeling Management Analytics 211

Analytics Vidhya

DECEMBER 24, 2021

This article was published as a part of the Data Science Blogathon Introduction According to a report, 55% of businesses have never used a machine learning model before. Eighty-Five per cent of the models will not be brought into production.

Machine Learning 366

Machine Learning Data Science Publishing Reporting 366

Analytics Vidhya

JULY 7, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Docker is a platform that deals with building, running, managing, The post Shipping your Machine Learning Models With Dockers appeared first on Analytics Vidhya.

Machine Learning 370

Machine Learning Modeling Data Science Publishing 370

CIO Business Intelligence

APRIL 26, 2024

That data is in the process of being unified on a multilayered platform that offers a variety of data services, including data ingestion, data management, data governance, and data security. The multilayered data platform will enable TransUnion’s customers to perform deep analytics and build complex AI models. But following its $3.1

Modeling 90

Modeling IT Machine Learning Data Governance 90

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). 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.

Management 332

Management Machine Learning Experimentation Metrics 332

IBM Big Data Hub

APRIL 19, 2024

This blog series discusses the complex tasks energy utility companies face as they shift to holistic grid asset management to manage through the energy transition. Asset performance management (APM) processes, such as risk-based and predictive maintenance and asset investment planning (AIP), enable health monitoring technologies.

Management 89

Management Internet of Things Risk IoT 89

Analytics Vidhya

MAY 31, 2022

Introduction on Amazon Sagemaker Amazon Sagemaker is arguably the most powerful, feature-rich, and fully managed machine learning service developed by Amazon. From creating your own labeled datasets to deploying and monitoring the models on production, Sagemaker is equipped to do everything. It can also […].

Machine Learning 257

Machine Learning Data Science Publishing Modeling 257

O'Reilly on Data

MARCH 26, 2024

TL;DR LLMs and other GenAI models can reproduce significant chunks of training data. He first tried to do so by becoming Cervantes, learning Spanish, and forgetting all the history since Cervantes wrote Don Quixote , among other things, but then decided it would make more sense to (re)write the text as Menard himself.

Modeling 273

Modeling Machine Learning Risk Advertising 273

CIO Business Intelligence

JANUARY 19, 2024

Data science certifications give you an opportunity to not only develop skills that are hard to find in your desired industry, but also validate your data science know-how so recruiters and hiring managers know what they get if they hire you. The exam is designed for seasoned and high-achiever data science thought and practice leaders.

Data Science 122

Data Science Machine Learning Predictive Modeling Experimentation 122

IBM Big Data Hub

APRIL 9, 2024

Preparing and annotating data IBM watsonx.data helps organizations put their data to work, curating and preparing data for use in AI models and applications. ” Watsonx.data uses machine learning (ML) applications to simulate data that represents ball positioning projections. ” Watsonx.ai ” Watsonx.ai

Management 84

Management IT Machine Learning Metrics 84

CIO Business Intelligence

SEPTEMBER 29, 2023

The recent AI boom has sparked plenty of conversations around its potential to eliminate jobs, but a survey of 1,400 US business leaders by the Upwork Research Institute found that 49% of hiring managers plan to hire more independent and full-time employees in response to the demand for AI skills.

Deep Learning 142

Deep Learning Machine Learning Modeling Consulting 142

Cloudera

NOVEMBER 29, 2023

In the dynamic world of machine learning operations (MLOps), staying ahead of the curve is essential. That’s why we’re excited to announce the Cloudera Model Registry as generally available, a game-changer that’s set to transform the way you manage your machine learning models in production environments.

Modeling 83

Modeling Machine Learning Metadata Metrics 83

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps is a term that refers to the set of practices and tools that organizations use to improve the quality and speed of data analytics and machine learning. This can help organizations to build trust in their data-related workflows, and to drive better outcomes from their data analytics and machine learning initiatives.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

CIO Business Intelligence

FEBRUARY 13, 2024

Oracle is adding new capabilities to its Supply Chain and Manufacturing (SCM) Fusion Cloud to help enterprises manage their logistics. The combination of the data along with machine learning models will aid enterprises in making faster decisions around global logistics, the company said in a statement. billion in 2021.

Management 107

Management Forecasting Machine Learning Business Intelligence 107

CIO Business Intelligence

APRIL 9, 2024

Previously head of cybersecurity at Ingersoll-Rand, Melby started developing neural networks and machine learning models more than a decade ago. I was literally just waiting for commercial availability [of LLMs] but [services] like Azure Machine Learning made it so you could easily apply it to your data. “The

Digital Transformation 88

Digital Transformation Machine Learning Data Lake Software 88

CIO Business Intelligence

MARCH 29, 2024

That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. The rest are on premises.

Data Lake 115

Data Lake Machine Learning Data Warehouse Unstructured Data 115

CIO Business Intelligence

OCTOBER 13, 2023

Responsibilities include building predictive modeling solutions that address both client and business needs, implementing analytical models alongside other relevant teams, and helping the organization make the transition from traditional software to AI infused software.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Cloudera

MARCH 26, 2024

How do you adapt a foundational model to your specific needs? Cloudera: Your Trusted Partner in AI With over 25 Exabytes of Data Under Management and hundreds of customers leveraging our platform for Machine Learning, Cloudera has a long and successful history as an industry leader. said Dr.

Cost-Benefit 79

Cost-Benefit Machine Learning Enterprise Modeling 79

IBM Big Data Hub

APRIL 18, 2024

Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. AGI, sometimes referred to as strong AI , is the science-fiction version of artificial intelligence (AI), where artificial machine intelligence achieves human-level learning, perception and cognitive flexibility.

Cost-Benefit 87

Cost-Benefit Modeling Manufacturing Interactive 87

CIO Business Intelligence

JANUARY 26, 2024

Carnegie Mellon University The Machine Learning Department of the School of Computer Science at Carnegie Mellon University was founded in 2006 and grew out of the Center for Automated Learning and Discovery (CALD), itself created in 1997 as an interdisciplinary group of researchers with interests in statistics and machine learning.

Machine Learning 99

Machine Learning Statistics Recreation/Entertainment Data Science 99

CIO Business Intelligence

FEBRUARY 28, 2024

Over 75% are thriving and believe their tuition paid is a worthwhile investment, proving a clear link between student satisfaction in higher learning and technology. A McKinsey report found that students and faculty are eager to continue using new learning technologies, but institutions could do more to support the shift.

Technology 103

Technology Machine Learning Digital Transformation Data-driven 103

CIO Business Intelligence

APRIL 12, 2023

Real-time AI brings together streaming data and machine learning algorithms to make fast and automated decisions; examples include recommendations, fraud detection, security monitoring, and chatbots. How is data, process, and model drift managed for reliability? It isn’t easy.

Machine Learning 133

Machine Learning Cost-Benefit Data-driven Strategy 133

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

CIO Business Intelligence

NOVEMBER 8, 2023

The customer had a 401(k) with us, for example, insurance benefits, and also asset management services, and [each] of those units did not know they shared a customer. We had to make [that] investment to leverage AI and machine learning models for different analytical capabilities across the entire company,” Kay says.

IT 108

IT Insurance Machine Learning Cost-Benefit 108

DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics. Tune in to learn more.

Enterprise 105

Enterprise Experimentation Machine Learning Modeling 105

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. Luckily, many are expanding budgets to do so. “94%

Digital Transformation 140

Digital Transformation Unstructured Data Machine Learning Risk Management 140

KDnuggets

SEPTEMBER 20, 2019

This white paper provides the first-ever standard for managing risk in AI and ML, focusing on both practical processes and technical best practices “beyond explainability” alone. Download now.

Risk 47

Risk Machine Learning Management Modeling 47

KDnuggets

MAY 8, 2023

MLOps for model drift management: Learn about ensuring the accuracy and performance of machine learning models in production.

Modeling 94

Modeling Management Machine Learning 94

Smart Data Collective

MAY 1, 2022

Did you know that around 37% of businesses use machine learning to some degree? There are many reasons that more companies are turning to machine learning technology. One of the benefits of leveraging machine learning is that it can help with develop employee compensation schemes.

Machine Learning 118

Machine Learning Management Cost-Benefit Insurance 118

Cloudera

NOVEMBER 1, 2023

And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database. Managing the data that represents organizational knowledge is easy for any developer and does not require exhaustive cycles of data science work.

Machine Learning 105

Machine Learning Optimization Modeling Interactive 105

AWS Big Data

MARCH 21, 2024

AWS offers multiple serverless services like Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon Data Firehose , Amazon DynamoDB , and AWS Lambda that scale automatically depending on your needs. You’re responsible for managing thousands of modems for an internet service provider deployed across multiple geographies.

Data Lake 94

Data Lake Management Modeling Optimization 94

CIO Business Intelligence

NOVEMBER 7, 2022

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. ML and AI are still relatively new practice areas, and leaders should expect ongoing learning and an improving maturity curve.

Machine Learning 124

Machine Learning Data Science Experimentation IoT 124

Smarten

APRIL 19, 2024

OpenAI – Azure OpenAI as the foundational entity for creating GPT models and is based on Large Language Models (LLM). GPT – Is based on a Large Language Model (LLM). Benefits include customized and optimized models, data, parameters and tuning. Open AI was developed by Microsoft.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

Dataiku

AUGUST 31, 2023

As organizations become increasingly reliant on machine learning models, it is essential that data scientists maintain model effectiveness and reliability. Let’s explore what data drift is, detection methods, monitoring strategies, and effective management techniques to ensure your models remain robust and dependable.

Modeling 69

Modeling Management Machine Learning Strategy 69

IBM Big Data Hub

FEBRUARY 5, 2024

Every asset manager, regardless of the organization’s size, faces similar mandates: streamline maintenance planning, enhance asset or equipment reliability and optimize workflows to improve quality and productivity. These foundation models, built on large language models, are trained on vast amounts of unstructured and external data.

Optimization 97

Optimization Management Key Performance Indicator Modeling 97