Analytics Vidhya

JULY 22, 2022

This article was published as a part of the Data Science Blogathon. Introduction Machine Learning pipelines are always about learning and best accuracy achievement. And every Data Scientist wants to progress as fast as possible, so time-saving tips & tricks are a big deal as well. That’s why low-code tools are adopted among data scientists.

Machine Learning 370

Machine Learning Data Science Publishing Analytics 370

KDnuggets

JULY 22, 2022

The AIoT has the potential to transform industries and society, and it is already starting to have an impact. This article will explore the principles of AIoT, its benefits, and its current use.

IoT 160

IoT IT 160

Analytics Vidhya

JULY 22, 2022

This article was published as a part of the Data Science Blogathon. Image Credit: Datatechvibe Introduction The web contains a wealth of publicly available videos which can be utilized to train the RL agent for sequential domains like robotics, video games, computer use, etc. However, most of these videos only demonstrate a record of what […].

Data Science 360

Data Science Publishing Analytics Modeling 360

KDnuggets

JULY 22, 2022

Data is everywhere but only data is not sufficient to reap the benefits that come with it. It needs to be organized to enable the organizations to make more informed business decisions. In this article, we will learn what are the various benefits of being a data-first enterprise and using the data in developing a business intelligence solution.

Enterprise 110

Enterprise Business Intelligence IT Data Science 110

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Analytics Vidhya

JULY 22, 2022

Introduction We are excited to have Shantam Saxena, who will host DataHour on our platform. He is a Data Scientist @Mckinsey & Company with over 5 years of experience, primarily working on NLP and related problems. He is currently pursuing a master’s degree in artificial intelligence at IIT Jodhpur and will begin his research on […].

Data Processing 333

Data Processing Analytics 333

CIO Business Intelligence

JULY 22, 2022

Companies are always looking for ways to operate leanly by reducing waste and redundancies in business processes throughout the organization. Value stream mapping (VSM) found its start in manufacturing, but it’s proved equally helpful in the enterprise as a visual mapping technique for optimizing and improving systems and processes. By implementing value stream mapping techniques, companies can eliminate waste in the development processes, identify and predict supply chain bottlenecks, and incre

Visualization 93

Visualization Manufacturing Software Management 93

KDnuggets

JULY 22, 2022

Is machine learning killing the planet? Probably not, but let's make sure it doesn't.

Machine Learning 110

Machine Learning IT 110

Analytics Vidhya

JULY 22, 2022

This article was published as a part of the Data Science Blogathon Introduction Google’s BigQuery is an enterprise-grade cloud-native data warehouse. BigQuery was first launched as a service in 2010, with general availability in November 2011. Since its inception, BigQuery has evolved into a more economical and fully managed data warehouse that can run lightning-fast […].

Data Warehouse 312

Data Warehouse Data Science Publishing Enterprise 312

Dataiku

JULY 22, 2022

Despite the economic potential from AI and analytics touted by consulting firms and even the media (in life sciences alone, per McKinsey, AI is estimated to have the potential to deliver up to $441 billion of value), let’s face it: most organizations aren’t there yet when it comes to getting massive, quantifiable value from AI.

Optimization 59

Optimization Strategy Analytics Consulting 59

Analytics Vidhya

JULY 22, 2022

This article was published as a part of the Data Science Blogathon. Introduction With the rapid expansion of new and advanced automotive features, the traditional methods of fault detection and control are becoming less effective, necessitating the development of smart solutions. New cars are laced with various sensors, instruments, and cameras that capture a wealth […].

Data Science 261

Data Science Publishing Analytics 261

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

Strategy

Nutanix

JULY 22, 2022

Dive Deeper and Learn at Citrix Day Events

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Analytics Vidhya

JULY 22, 2022

Dear Readers, What are your plans for the weekend? Do you want to learn additional data science skills? Because we are ready to help you brush up your science skills with the industry expert Sachin Pai, Director, Cloud Scale Analysts and AI at Microsoft. In this edition of DataHour, you will learn about the application […]. The post The DataHour: Real-world Applications of Data Science appeared first on Analytics Vidhya.

Data Science 250

Data Science Analytics 250

DataRobot Blog

JULY 22, 2022

Using AI-based models increases your organization’s revenue, improves operational efficiency, and enhances client relationships. But there’s a catch. You need to know where your deployed models are, what they do, the data they use, the results they produce, and who relies upon their results. That requires a good model governance framework. At many organizations, the current framework focuses on the validation and testing of new models, but risk managers and regulators are coming to realize that

Modeling 105

Modeling Risk Management Testing Risk 105

CDW Research Hub

JULY 22, 2022

The Sirius Data & Analytics Consulting team recently attended Snowflake Summit 2022 in Las Vegas; the first time the annual conference has been held in person since 2019. This year’s event was a departure from the much smaller inaugural Snowflake Summit 2019 held in San Francisco. Whether it was due to being in a room full of data enthusiasts or the magic of Las Vegas, the energy matched the larger attendance and venue.

Data Lake 84

Data Lake Data Governance Consulting Machine Learning 84

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

Testing