Analytics Vidhya

MARCH 20, 2024

With over 11,000 attendees and a global audience, the event excited and […] The post NVIDIA GTC Keynote | Blackwell Architecture will Accelerate AI Products in Late 2024 appeared first on Analytics Vidhya.

Technology 297

Technology Analytics 297

Analytics Vidhya

SEPTEMBER 15, 2023

In a fast-paced digital age, mastering productivity tools is the key to achieving success efficiently. Whether you’re an entrepreneur, a professional, or a student, harnessing the power of […] The post Top 25 AI Productivity Tools to Use in 2023 appeared first on Analytics Vidhya.

Analytics 319

Analytics 319

Analytics Vidhya

SEPTEMBER 19, 2023

AI Production Systems are the backbone of decision-making. These systems automate complex tasks through production rules, efficiently processing data and generating insights. They facilitate knowledge-intensive processes comprising a global database, production rules, and a control system.

Analytics 311

Analytics 311

Analytics Vidhya

DECEMBER 20, 2022

Introduction Software Products can be very complex to manage and, at the same time, must be relevant to the customers. An essential part of that process is understanding how the customers use the product. People who create products care about more than just […]. The post Everything a Product Analyst Should Know!

Data Science 258

Data Science Publishing Software Management 258

Analytics Vidhya

MAY 29, 2022

The post Product Recommendation System Using RFM Analysis appeared first on Analytics Vidhya. Introduction on RFM Analysis This article aims to take you through the important concept of Customer Segmentation using RFM Analysis and how it can be done using machine learning.

Machine Learning 346

Machine Learning Data Science Publishing Analytics 346

Analytics Vidhya

NOVEMBER 24, 2023

Introduction Have you experienced the frustration of a well-performing model in training and evaluation performing worse in the production environment? It’s a common challenge faced in the production phase, and that is where Evidently.ai, a fantastic open-source tool, comes into play to make our ML model observable and easy to monitor.

Modeling 293

Modeling Analytics IT 293

Analytics Vidhya

AUGUST 22, 2022

The post Product Quantization: Nearest Neighbor Search appeared first on Analytics Vidhya. Introduction K nearest neighbor or KNN is one of the most famous algorithms in classical AI. KNN is a great algorithm to find the nearest neighbors and thus can be used as a classifier or similarity finding algorithm. KNN is great until we […].

Data Science 253

Data Science Publishing Analytics Machine Learning 253

Analytics Vidhya

FEBRUARY 7, 2023

Introduction Are you ready to unlock the hidden key to success in product management? With the power of amplitude maps, you can now leverage data-driven decisions to take your products to the next level. Transform the way you approach product management and unlock unprecedented success. It’s time to unlock the secret!

Management 265

Management Visualization Data-driven Analytics 265

Analytics Vidhya

JANUARY 24, 2022

The post A Basic Guide To Kubernetes in Production appeared first on Analytics Vidhya. In 2014, the first echoes of the word Kubernetes in tech were heard, and the conquest of Kubernetes is due in no small amount to its flexibility and authority. Back […].

Data Science 382

Data Science Publishing Analytics IT 382

O'Reilly on Data

AUGUST 15, 2023

Our survey 1 showed that while these tools increased productivity, they aren’t without their costs. Those two answers are almost the same: decreasing time to market requires increasing productivity, and improving deployment speed is itself an increase in productivity. At least at first, that’s clearly not true.

Software 182

Software Reporting Marketing Enterprise 182

Analytics Vidhya

APRIL 16, 2022

Introduction Congratulations, you have deployed a model to production; it is an achievement for you and your team! In a normal software engineering development cycle, you would now sit back and relax; however, in the machine learning development cycle, deployment to production is just about […].

Modeling 371

Modeling Machine Learning Data Science Publishing 371

Analytics Vidhya

JUNE 11, 2022

The post Scraping Data Using Octoparse for Product Assessment appeared first on Analytics Vidhya. I am thrilled to see you here to discuss another compelling use case which supports Data Analytics and Data-Science. As you all know that invariably you should not depend on the landing area, most of the time, the […].

Data Science 329

Data Science Publishing Data Analytics Analytics 329

Analytics Vidhya

MAY 6, 2023

LLMOps […] The post Deploying Large Language Models in Production: LLMOps with MLflow appeared first on Analytics Vidhya. However, it is difficult to deploy and manage these LLMs in actual use, which is where LLMOps comes in.

Modeling 292

Modeling Management Analytics IT 292

O'Reilly on Data

FEBRUARY 26, 2021

A couple of years ago, Pete Skomoroch, Roger Magoulas, and I talked about the problems of being a product manager for an AI product. Many organizations start AI projects, but relatively few of those projects make it to production. Product Management for AI. Justin did the lion’s share of the work from that point on.

Management 277

Management Testing Data Science Risk 277

Analytics Vidhya

AUGUST 1, 2022

In this edition of DataHour, learn to deploy a deep learning model in production. The post DataHour: Deploying Deep Learning Model to Production using FastAPI & Docker appeared first on Analytics Vidhya. Brush up your skills with our industry expert Mohammad Shahebaz, Data Scientist at DataRobot. The purpose of […].

Deep Learning 355

Deep Learning Modeling Data Science Analytics 355

O'Reilly on Data

JULY 28, 2020

The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.

Marketing 362

Marketing Experimentation Metrics Testing 362

Rocket-Powered Data Science

JULY 19, 2023

Low-latency data delivery is a system level requirement that is tied to a critical business user requirement: low-latency analytics product delivery ! Low-latency data access and data delivery (system requirements) are necessary for low-latency delivery of analytics products (business user requirement).

Analytics 196

Analytics Data-driven Machine Learning Enterprise 196

CIO Business Intelligence

APRIL 4, 2024

For example, if production in one business unit is short on eight-inch steel rods needed to finish orders in assembly, and another area of the business has 10-inch rods on hand, the AI might suggest using the longer rods and cutting them down to make the delivery deadline. It can be faster, more accurate, and make the teams more productive.”

Enterprise 134

Enterprise Cost-Benefit Forecasting Strategy 134

Analytics Vidhya

APRIL 15, 2020

The post 10 Productive Jupyter Notebook Hacks, Tips and Tricks! Overview Jupyter notebooks are a great tool for data scientists but we can make them even better using these hacks, tips, and tricks We. appeared first on Analytics Vidhya.

Analytics 385

Analytics Interactive Data Science 385

Analytics Vidhya

APRIL 2, 2022

The post A Beginner’s Guide to Get Productive With FastDS! FastDS combines the power of Git and DVC to provide a hassle-free versioning experience. Companies are always on the lookout for tools that can improve the […]. appeared first on Analytics Vidhya.

Data Science 263

Data Science Publishing Analytics Modeling 263

IBM Big Data Hub

APRIL 1, 2024

Generative artificial intelligence (GenAI) can be a powerful tool for driving product innovation, if used in the right ways. We’ll discuss select high-impact product use cases that demonstrate the potential of AI to revolutionize the way we develop, market and deliver products to customers.

Predictive Analytics 85

Predictive Analytics Sales Enterprise Predictive Modeling 85

CIO Business Intelligence

MARCH 19, 2024

So much digital ink has been spilled regarding how generative AI is a first-class productivity booster. Ninety-one percent of business and technology leaders surveyed by Deloitte 1 expect genAI to improve their organizations’ productivity, with 27% expecting a significant productivity boost. And how might it work?

Marketing 108

Marketing Software Enterprise Interactive 108

Analytics Vidhya

JUNE 22, 2021

The post MLOps – Operationalizing Machine Learning Models in Production appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Overview In this blog, I will be briefly explaining the concepts.

Machine Learning 266

Machine Learning Modeling Data Science Publishing 266

DataKitchen

MAY 4, 2023

Webinar Summary: DataOps and Data Mesh Chris Bergh, CEO of DataKitchen, delivered a webinar on two themes – Data Products and Data Mesh. Bergh started by discussing the complexity within data and analytics teams, stating that complexity makes everything more complicated and, in the long run, it kills productivity.

Measurement 130

Measurement Data-driven Testing Cost-Benefit 130

Analytics Vidhya

JUNE 14, 2021

The post MLOps | Understand Machine Learning In Production appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In Real-world, machine learning is not just about making your.

Machine Learning 227

Machine Learning Data Science Publishing Analytics 227

CIO Business Intelligence

MARCH 6, 2024

No matter what type of work you do, here are three considerations around devices that can help you optimise your productivity. Your laptop or tablet should seamlessly connect with high-definition webcams, microphones, whiteboards and other accessories to get the most productivity from remote meetings.

Sales 98

Sales Visualization Optimization Data Analytics 98

O'Reilly on Data

JUNE 9, 2020

It’s getting machine learning from the researcher’s laptop to production. It’s one thing to build a model; it’s another thing altogether to embody that model in an application and deploy it successfully in production. That’s the real gap. I first learned about Emmanuel through articles on his blog. )

Machine Learning 254

Machine Learning Modeling Metrics IT 254

DataKitchen

MAY 4, 2023

All the cool kids are talking about Data Products and Data Mesh. The data companies have gotten ahold of terms and started to say their twenty-year-old ETL tools are the perfect tools to do that fashionable product-meshy stuff. The post ON-DEMAND WEBINAR: Data Products and Data Mesh first appeared on DataKitchen.

130

130

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). You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door. Models within AI products change the same world they try to predict.

Management 332

Management Machine Learning Experimentation Metrics 332

Analytics Vidhya

JUNE 25, 2021

The post Amazon Product review Sentiment Analysis using BERT appeared first on Analytics Vidhya. ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction Natural Language processing, a sub-field of machine learning has gained.

Machine Learning 219

Machine Learning Data Science Publishing Analytics 219