Sat.Dec 03, 2022 - Fri.Dec 09, 2022

article thumbnail

We Don’t Need Data Scientists, We Need Data Engineers

KDnuggets

As more people are entering the field of Data Science and more companies are hiring for data-centric roles, what type of jobs are currently in highest demand? There is so much data in the world, and it just keeps flooding in, it now looks like companies are targeting those who can engineer that data more than those who can only model the data.

article thumbnail

XAI: Accuracy vs Interpretability for Credit-Related Models

Analytics Vidhya

Introduction The global financial crisis of 2007 has had a long-lasting effect on the economies of many countries. In the epic financial and economic collapse, many lost their jobs, savings, and much more. When too much risk is restricted to very few players, it is considered as a notable failure of the risk management framework. […]. The post XAI: Accuracy vs Interpretability for Credit-Related Models appeared first on Analytics Vidhya.

Analytics 395
professionals

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Dawn AI simplifies AI image generation for you

Dataconomy

Dawn AI generated art app is the latest addition to products related to technology and art integration. Dawn AI’s intuitive interface makes it easy to generate high-quality images using artificial intelligence, and believe us, simplifying art it is not the only feature of Dawn AI. If you’re having trouble finding.

article thumbnail

CockroachDB Toughens Shell For Data-Intense Journey To Cloud

Adrian Bridgwater for Forbes

Data is intense. It’s intense because it’s important, it’s intense because it is often deeply layered to a rich degree affording it a kind of inherent intensity… and data is also intense because it now forms what the tech industry likes to call data-intensive applications.

Big Data 152
article thumbnail

What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

article thumbnail

3 Free Machine Learning Courses for Beginners

KDnuggets

Begin your machine learning career with free courses by Georgia Tech, Stanford, and Fast AI.

article thumbnail

Explaining MLOps using MLflow Tool

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be seeing MLOps from the dimension of one of the powerful tools that make it easy to implement. These tool help to improve the deployment process for robust machine-learning projects. We will start by briefly seeing MLOps […]. The post Explaining MLOps using MLflow Tool appeared first on Analytics Vidhya.

More Trending

article thumbnail

5 Ways to Streamline Your Business Data for Maximum Efficiency

Smart Data Collective

In today’s digital world, businesses need to be able to access and analyze their data quickly and efficiently. Streamlining business data is an important part of achieving maximum efficiency. By streamlining your business data, you can save money and increase productivity with less overhead. Whether you’re running a small business or a large-scale multinational company, your data is an important part of your daily operations.

article thumbnail

7 Essential Cheat Sheets for Data Engineering

KDnuggets

Learn about the data life cycle, PySpark, dbt, Kafka, BigQuery, Airflow, and Docker.

article thumbnail

Comparison of Text Generations from GPT and GPT-2

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction The real-world data can be very messy and skewed, which can mess up the effectiveness of the predictive model if it is not addressed correctly and in time. The consequences of skewness become more pronounced when a large model is […]. The post Comparison of Text Generations from GPT and GPT-2 appeared first on Analytics Vidhya.

article thumbnail

Tencent entered the world of AI art with QQ Different Dimension Me

Dataconomy

With QQ Different Dimension Me, you will finally find your anime version: But first, you should learn how to use Tencent Anime AI, and don’t worry; you have come to the right place for it. AI craze takes over the Internet, and a new AI tool pops up daily. Our.

AI 214
article thumbnail

Agent Tooling: Connecting AI to Your Tools, Systems & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

article thumbnail

10 Technical Blogs for Data Scientists to Advance AI/ML Skills

DataRobot Blog

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. These data science teams are seeing tremendous results—millions of dollars saved, new customers acquired, and new innovations that create a competitive advantage. Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results.

article thumbnail

How to Use Analytics to Accelerate Business Growth?

KDnuggets

Many organizations are establishing a Data Analytics team to reap the benefits of their key strategic asset i.e. data. The post explains how you can leverage the power of analytics to understand the end user and generate actionable insights.

Analytics 395
article thumbnail

A Guide to Vyper and its Environments

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction From the current trends in technology, a lot is likely to become more sophisticated. One area we will look at is the new technology known as Vyper, which is a programming language for developing apps on the web 3. This type of […]. The post A Guide to Vyper and its Environments appeared first on Analytics Vidhya.

article thumbnail

AI art has taken over the social media

Dataconomy

AI art is manufacturing itself on many platforms today, and specifically Instagram AI trend is taking over social media. It’s possible that you’ve already seen some Instagram posts and stories produced by AI. Do you know you can create your own AI-powered selfies or any kind of images easily? Instagram.

AI 41
article thumbnail

How to Modernize Manufacturing Without Losing Control

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

article thumbnail

Big Data to Play Key Role in Future of Bankruptcy Proceedings

Smart Data Collective

We have previously emphasized the huge benefits that big data plays in the financial industry. The global financial analytics market is projected to be worth $17.1 billion by 2028. Most of the discussions about the role of big data in finance center around actuarial models in the insurance sector and using data analytics and machine learning for stock market predictions.

Big Data 131
article thumbnail

4 Useful Intermediate SQL Queries for Data Science

KDnuggets

SQL is the essential language for developers, engineers, and data professionals. Intermediate knowledge in SQL gives you an edge in your data science career.

SQL 386
article thumbnail

Join us for free for upcoming DataHour Sessions

Analytics Vidhya

Introduction Having Technical skills and knowledge is one of the best ways to get a hike in your career path. Keeping this in mind, many working professionals and students have started upskilling themselves. But you need to brush up on your Technical skills periodically to get the latest knowledge. To upskill yourself, and expand your […]. The post Join us for free for upcoming DataHour Sessions appeared first on Analytics Vidhya.

Analytics 367
article thumbnail

Enterprise cloud storage is the foundation for a successful remote workforce

Dataconomy

The widespread adoption of enterprise cloud storage has the potential to change the way that businesses operate in the future fundamentally. As more and more organizations move their data and applications to the cloud, the need for on-premises IT infrastructure will decrease, and businesses will become increasingly reliant on cloud-based.

article thumbnail

Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

article thumbnail

IBM® Federated Learning with Homomorphic Encryption

IBM Data Science in Practice

IBM Federated Learning enables you to train a machine learning model across multiple decentralized parties holding local data sets, without sharing the local data sets. Such parties can be for example within an enterprise, within a consortium of enterprises, within multiple data centers or multiple clouds, or on edge devices. This allows to build a collective machine learning model without sharing data between the parties, therefore addressing data security, privacy, and regulatory compliance re

article thumbnail

How Artificial Intelligence Will Change Mobile Apps

KDnuggets

There are numerous ways in which Artificial Intelligence (AI) will change the way we use mobile apps. As more and more users shift towards tablet computers and various mobile platforms, developers are coming up with new ideas for improving user experience. AI holds many key factors for the future of mobile app development and could indeed prove to be a game changer on almost all fronts.

article thumbnail

Using AWS S3 with Python boto3

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction AWS S3 is one of the object storage services offered by Amazon Web Services or AWS. It allows users to store and retrieve files quickly and securely from anywhere. Users can combine S3 with other services to build numerous scalable […]. The post Using AWS S3 with Python boto3 appeared first on Analytics Vidhya.

AWS 362
article thumbnail

What would your anime version be like? Ask Meitu AI Art

Dataconomy

Meitu AI Art anime filter trend takes over TikTok and other social media platforms. The recent online craze allows users to turn selfies into anime images. As you may have noticed, the feeds on TikTok and Twitter are full of anime images, and a well-known photo editing tool has once.

AI 181
article thumbnail

The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

article thumbnail

Data Threads: Address Verification Interface

IBM Data Science in Practice

One of the key elements that builds a data fabric architecture is to weave integrated data from many different sources, transform and enrich data, and deliver it to downstream data consumers. IBM Multicloud Data Integration helps organizations connect data from disparate sources, build data pipelines, remediate data issues, enrich data, and deliver integrated data to multicloud platforms where it can easily accessed by data consumers or built into a data product.

article thumbnail

The Complete Machine Learning Study Roadmap

KDnuggets

Find out where you need to be to start your Machine Learning journey and what you need to do to succeed in the field.

article thumbnail

Simplify Data Migration with AWS DMS

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] Introduction DMS is a service that makes it easy to migrate on-premise databases into the cloud with minimal or no downtime. It can even monitor the changes in the original database and apply them to the new database. DMS supports […]. The post Simplify Data Migration with AWS DMS appeared first on Analytics Vidhya.

AWS 361
article thumbnail

Introducing ChatGPT!

Cassie Kozyrkov

The Revolutionary New Tool for Conversation Generation Continue reading on HackerNoon.

article thumbnail

How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

article thumbnail

Israeli Software Engineering Start-Up Creates Simulation Training ‘Quests’

Adrian Bridgwater for Forbes

Wilco enables software engineers to emulate the conditions at a tech startup. The software sends users on ‘quests’ that cover everyday engineering tasks - from deploying an app to finding the root cause of a live software production issue - utilizing real-life technology, but in a safe environment.

130
130
article thumbnail

The 5 Rules For Good Data Science Project Documentation

KDnuggets

Once data scientist finishes building the project, they will need to do the task that most of us hate that is documenting the code.

article thumbnail

Perfect seasons needed to get over.500 overall

FlowingData

Here’s a fun one from Philip Bump for The Washington Post. Bump simply asks how many wins it would take for sports franchises to reach a.500 record over the life of the franchise. The historically bad teams bubble to the top. Tags: record , sports , Washington Post , wins.

128
128
article thumbnail

AI-Driven SAST Strategies Transform Application Security

Smart Data Collective

AI technology has become an incredibly important part of most IT functions. One of the many reasons IT professionals are investing in AI is to fortify their digital security. One of the best ways that cybersecurity professionals are leveraging AI is by utilizing SAST strategies. AI Solidifies Network Security with Better SAST Protocols. AI technology has led to a number of new cybersecurity threats.

AI 126
article thumbnail

Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!