Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! “Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon. This 30th edition of the Data Science Blogathon is particularly very important because we are celebrating the women in […] The post Data Science Blogathon 30th Edition- Women in Data Science appeared first on Analytics Vidhya.

Data Science 245

Data Science Data Cloud Computing Deep Learning 245

KDnuggets

MARCH 8, 2023

Sponsored Post Groundbreaking large language model research from OpenAI, Google, Amazon, and others have transformed expectations of machine-generated software.

Coding 150

Coding 150

U-Next

MARCH 8, 2023

Introduction Communication is one of the most important skills for salespeople to master. There are numerous related skills you may focus on to enhance the success of your client engagements if you’re interested in improving your sales communication. These skills enable you to communicate vital information about your product or service, have positive client interactions, and achieve significant sales targets by honing your sales abilities.

Programming 97

Programming Management IT 97

KDnuggets

MARCH 8, 2023

The Biggest Rivalry: ChatGPT vs Google Bard! Here's a comparison of the technical differences between the two AI engines.

Engineering 158

Engineering 158

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Cloudera

MARCH 8, 2023

As we celebrate Black History Month, for this #ClouderLife Spotlight we sat down with Clouderan Kimberly Lewis to talk about her career journey in human resources, growing up in New Orleans, and how her experience in basketball translated to leadership and career development in the workplace. Kim is the director of human resources (HR) programs at Cloudera.

Programming 78

Programming Architecture IT Management 78

KDnuggets

MARCH 8, 2023

ChatGPT for Data Science Cheat Sheet • Top Free Data Science Online Courses for 2023 • SQL Query Optimization Techniques • 3 Hard Python Coding Interview Questions For Data Science • A List of 7 Best Data Modeling Tools for 2023

Data Science 87

Data Science SQL Python Data 87

KDnuggets

MARCH 8, 2023

Learn about descriptive analytics, data warehousing, machine learning, and big data.

Data Analytics 110

Data Analytics Big Data Machine Learning Data 110

Propel Data

MARCH 8, 2023

We'll share how to integrated the Apollo Studio API explorer into Propel’s documentation, options we considered, and some of the challenges.

Data Analytics 64

Data Analytics Data 64

Ascend.io

MARCH 8, 2023

Calling all Ascend users — and anyone interested in the future of Data Pipeline Automation! Registration for our 2023 Data Pipeline Automation Summit on April 12-14 is now open, completely virtual and free. This user conference is an excellent opportunity for Ascend users to take their skills to the next level or for any data and analytics engineer to learn what intelligent data pipelines are all about.

Data Pipeline 52

Data Pipeline Data Engineering Building 52

Edureka

MARCH 8, 2023

Every organisation has an objective, and the top management wants to achieve it within its set timeline. However, it is in the hands of more than the executives to achieve the company’s goals. The staff members must work towards the achievement of the common goal. If they perform as desired by the firm, the company can achieve its goals. But how can one know if the staff members are doing what the firm expects them to do and whether they need support to achieve their goals?

Management 52

Management Systems IT Technology 52

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Certification

Data Engineering Weekly

MARCH 8, 2023

Close your eyes and imagine that you are the proud owner of a small e-commerce website that sells very specific products online. You have a beautiful homepage that showcases your latest products, and testimonials of happy clients, and your customers can easily navigate through your site to find what they're looking for. Your website is easy to use, and your customers can easily add products to their cart, check out, and receive their purchases in just a few clicks.

Process 52

Process Data Media Data Storage 52

U-Next

MARCH 8, 2023

Introduction Every business, from finance to edtech, needs the knowledge of sales experts. Over the past few years, Sales Managers have become increasingly important. They work with the sales team to establish revenue goals and arrange sales initiatives. A transformed sales function is a result of the nature of the product, consumer purchasing habits, and salesforce expectations.

Management 52

Management Recruitment Banking Insurance 52

Ascend.io

MARCH 8, 2023

Calling all Ascend users — and anyone interested in the future of Data Pipeline Automation! Registration for our 2023 Data Pipeline Automation Summit on April 12-14 is now open, completely virtual and free. This user conference is an excellent opportunity for Ascend users to take their skills to the next level or for any data and analytics engineer to learn what intelligent data pipelines are all about.

Data Pipeline 52

Data Pipeline Data Engineering Building 52

Confluent

MARCH 8, 2023

When Jade Bowen joined Confluent as an account executive for the enterprise market and 11th employee in the ANZ region, there was only one client for her to work with. Three years later, she’s heading up the entire APAC Customer Success team.

Technology 52

Technology 52

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.

Data Science

Monte Carlo

MARCH 8, 2023

According to Upside analytical engineers Adam Shepard and Jack Willis, data empathy, or data enablement, is the process of getting in the dirt with stakeholders and living their life with data. This allows data teams to build the data products that address their users’ needs and meet them where they are. It’s a concept that has enabled Upside –a retail technology company that partners with over 50,000 local businesses to provide personalized offers to millions of users–and it’s data team t

Data Warehouse 52

Data Warehouse Data Retail BI 52

Precisely

MARCH 8, 2023

The Precisely Employee Diversity & Inclusion Council was created to champion Belonging at Precisely, in line with our CEO, Josh Roger’s commitment to inclusivity. Precisely recognizes the positive business impact of our employees’ contributions and welcome their perspectives. This quarter, we’re featuring Dr. Neena Priyanka, Location Intelligence Product Manager.

Consulting 52

Consulting Programming Building Project 52

Confluent

MARCH 8, 2023

Learn how modern data management approaches like data mesh and event-driven architecture (EDA) are used to manage data, key advantages, and how they’re used.

Management 52

Management Data Architecture Data Management 52

Acceldata

MARCH 8, 2023

Learn how enterprise data teams prioritize data reliability as the foundation for achieving scale and optimizing operational performance.

Data 52

Data 52

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.

Engineering

Preset

MARCH 8, 2023

Cross-filtering is available to all users by default to make self-serve analytics easier.

Data 52

Data 52

Tweag

MARCH 8, 2023

Topiary aims to be a universal formatter engine within the Tree-sitter ecosystem. Named after the art of clipping or trimming trees into fantastic shapes, it is designed for formatter authors and formatter users: Authors can create a formatter for a language without having to write their own formatting engine, or even their own parser. Users benefit from uniform, comparable code style, across multiple languages, with the convenience of a single formatter tool.

Coding 131

Coding Engineering Designing Programming 131

U-Next

MARCH 8, 2023

For more than 40 years, relational databases have been managed and modified using the programming language SQL (Structured Query Language). Given that it lets organizations efficiently store, retrieve, and analyze massive volumes of data, it has become an essential tool in their daily operations. In this article, we’ll discuss the value of SQL in contemporary business operations and why both data experts and business managers now consider it a must-have talent.

SQL 97

SQL Relational Database Database Programming Language 97

phData: Data Engineering

MARCH 8, 2023

In today’s increasingly data-driven world, businesses need reliable and efficient ways to collect, analyze, and draw insights from their data. With so many data integration tools available in the market, it can be difficult to determine which one is the best fit for your organization. Fivetran, a cloud-based automated data integration platform, has emerged as a leading choice among businesses looking for an easy and cost-effective way to unify their data from various sources.

IT 96

IT Data Warehouse Data Ingestion Data Integration 96

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.

Building

LinkedIn Engineering

MARCH 8, 2023

For our engineering teams, artificial intelligence (AI) is like oxygen - it powers every product we build and every experience we deliver. Our members can see it in things like the job recommendations they’re served, the content that’s personalized for them in their feed, and the LinkedIn Learning courses that are tailored to their interests. Our customers benefit from it through more relevant recommendations in LinkedIn Recruiter and better ways to engage with sales prospects in Sales Navigator

Recruitment 84

Recruitment Datasets Machine Learning Government 84

U-Next

MARCH 8, 2023

Introduction The perfect rulebook for improving communication with a prospect does not exist. Remember the number of times you have walked off a store or dropped the idea of buying an article from someone who didn’t care about how they spoke to you. I am sure you would’ve made up your mind never to visit that place again in your lifetime. More than being just another business activity, sales is an art.

Media 52

Media Management Programming Building 52

DataKitchen

MARCH 8, 2023

The real problem in data analytics is that teams need to del iver insight to their customers without error put new ideas into production rapidly minimize their ‘insight manufacturing’ expenses … all at the same time As former leaders of data teams, we understand that data and analytics have three main problems: delivering insight to customers without error and rapidly putting new ideas into production while minimizing expenses.

Manufacturing 52

Manufacturing Education Data Analytics Raw Data 52