Mon.Jun 27, 2022

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The Technology of Automation and Artificial Intelligence

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Automation and intelligence are two technologies that are widely used in modern systems, making them cutting-edge. Without the two technologies of automation and intelligence, a computer system or program will revert to outdated design and development concepts, which are currently obsolete and […].

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DataOps Risk Insurance & Mission Control

DataKitchen

Chris Bergh shares how to manage data quality and pipeline risk through implementing a 'Mission Control' center for DataOps. The post DataOps Risk Insurance & Mission Control first appeared on DataKitchen.

Insurance 130
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Linear Algebra for Data Science With Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Linear Algebra, a branch of mathematics, is very much useful in Data Science. We can mathematically operate on large amounts of data by using Linear Algebra. Most algorithms used in ML use Linear Algebra, especially matrices. As most of the data is […]. The post Linear Algebra for Data Science With Python appeared first on Analytics Vidhya.

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Data Preparation with SQL Cheatsheet

KDnuggets

If your raw data is in a SQL-based data lake, why spend the time and money to export the data into a new platform for data prep?

Data Lake 160
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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Introduction to Redis Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Redis is a popular in-memory key-value data store, which is a type of NoSQL database. Redis is chiefly used as a cache database, but its application does not end there. You can find many articles explaining how Redis can be the all-in-one […]. The post Introduction to Redis Using Python appeared first on Analytics Vidhya.

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Misled by metrics: 7 KPI mistakes IT leaders make

CIO Business Intelligence

Mark Twain famously remarked that there are three kinds of lies: lies, damned lies, and statistics. Today, many CIOs feel the same way about metrics. Metrics are only as good as their source. “Too often, technology companies pay consulting or analyst firms to create metrics based on the best characteristics of their offerings,” says Judith Hurwitz, CEO of Hurwitz Strategies, an emerging technology consulting firm.

Metrics 133

More Trending

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Top Posts June 20-26: 20 Basic Linux Commands for Data Science Beginners

KDnuggets

Also: Decision Tree Algorithm, Explained; 15 Python Coding Interview Questions You Must Know For Data Science; Naïve Bayes Algorithm: Everything You Need to Know; KDnuggets Top Posts for May 2022: 9 Free Harvard Courses to Learn Data Science in 2022.

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A Guide to Exploratory Data Analysis Explained to a 13-year-old!

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction You might be wandering in the vast domain of AI, and may have come across the word Exploratory Data Analysis, or EDA for short. Well, what is it? Is it something important, if yes why? If you are looking for the answers […]. The post A Guide to Exploratory Data Analysis Explained to a 13-year-old!

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4 IT Management Best Practices Data-Driven Businesses Must Practice

Smart Data Collective

Data-driven businesses are far more successful than companies that don’t utilize data to their advantage. Unfortunately, they often find that managing their data effectively can be a challenge. Companies that rely on big data need a reliable IT department. You have to make sure that your IT infrastructure is adequately equipped to handle the volume of data your company will be processing and that it will be properly secured.

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Combating Data Inconsistencies with SQL

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Photo by Sebastian Herrmann on Unsplash Introduction As you know from my previous posts, I’ve started a mailing list to promote my blog. In the last post in this series, we designed a way to answer the question of what’s causing folks to […]. The post Combating Data Inconsistencies with SQL appeared first on Analytics Vidhya.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Perfecting Operations Through Machine Learning

CIO Business Intelligence

CEMEX was faced with a flood of false positive alerts from its system monitoring software. Ultimately, the company deployed software and best practices to dramatically cut the false positives for improved monitoring and a better experience for employees and customers. Riddle me this! When is too much of a good thing not good? Well, for Juan Murguia Castillo, Cemex IT operations director, and his team in CEMEX’s Operations Control Center (OCC), that question presented itself every day.

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The DataHour: Introduction to MLOps

Analytics Vidhya

Introduction Anish Mahapatra has is conducting an interactive DataHour session with us. Anish has been a Lead Data Science consultant for various Fortune 500 customers for a long time and has helped over 2000 employees into the Data Science profession. He will be explaining MLOps referred as Machine learning operations, the present and future state […].

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Sentry’s David Cramer on bootstrapping a unicorn

CIO Business Intelligence

Sentry was started as an open source project by David Cramer in 2008 to provide monitoring services for application developers. Cramer and co-founder Chris Jennings bootstrapped the company from the ground up, organically growing the business to over 3.5 million developers today. Sentry’s open source and cloud-based offerings support 100+ languages and frameworks and provide developers with visibility into the health of their applications.

Software 115
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Python Stock Analysis for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We’ve all heard of the stock market, right? Stock is essentially a share in a specific company. The stock market is a risky game, but with the appropriate strategies and research, an investor can create generational wealth. This project is just a tiny […]. The post Python Stock Analysis for Beginners appeared first on Analytics Vidhya.

Marketing 270
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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Why Multi-Factor Authentication is Key to Modern Cybersecurity

CIO Business Intelligence

According to recent data from the Identity Theft Resource Center , there was a 14% increase in data breaches and compromises in the first quarter of 2022 compared to 2021. What’s more — this is the third consecutive year where breaches have increased in Q1. With cyberattacks becoming increasingly common, the importance of cybersecurity cannot be overstated.

Marketing 105
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Fake News Classification with Keras

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Fake news has become increasingly prevalent in recent years. With more and more of our news being consumed from online sources, being able to discern whether or not news is real is vital. This article is presented as a fun look at […]. The post Fake News Classification with Keras appeared first on Analytics Vidhya.

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JLL source-to-pay transformation proves value of automation

CIO Business Intelligence

Commercial real-estate company JLL’s automation of its source-to-pay process, like many enterprise IT projects today, had its origin in the pandemic. As COVID began to close offices around the world, many enterprises faced challenges managing or monitoring cashflow, JLL among them. “We were watching cash coming in and cash out the door, given the situation that most large organizations were in,” says CIO George Thomas, who oversees enterprise IT at JLL, including data centers, ERP systems, and o

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SQL Interview Guide for Data Analyst

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction SQL, which stands for Structured Query Language, is ranked among the most important skills that data analysts should have. As you prepare to negotiate data analysis tasks, you can expect SQL to appear during the interview. With this guide, you will learn […]. The post SQL Interview Guide for Data Analyst appeared first on Analytics Vidhya.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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The Value of Automation Testing for Enterprises

CIO Business Intelligence

Enterprises that have adopted automation across their organizations—including development, IT operations, and business teams—often find it is difficult to scale their automations due to manual or old testing methods. This can create further delays that prevent the automations from scaling properly, thus defeating the purpose of many process automation and digital transformation efforts.

Testing 103
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A Beginner’s Guide to the SQL Language

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction to SQL When I was a teenager, I listed the items on paper to buy from the shop, called data in this case. In today’s world, we get lots of data through the media. So, where can we store the vast amounts of […]. The post A Beginner’s Guide to the SQL Language appeared first on Analytics Vidhya.

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The Complete Collection of Data Science Interviews – Part 2

KDnuggets

The second part covers the list of Data Management, Data Engineering, Machine Learning, Deep Learning, Natural Language Processing, MLOps, Cloud Computing, and AI Manager interview questions.

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A Comprehensive Guide to Heroku Postgres

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Recently I was doing an analysis, and in this analysis, I wanted to take the data from a remote database. I previously used Azure, but I had to delete the database after learning. Otherwise, they will deduct money from your Azure balance. […]. The post A Comprehensive Guide to Heroku Postgres appeared first on Analytics Vidhya.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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How to Stay Current in Python

KDnuggets

Staying current with Python will help maintain your hireability, get new opportunities, and continue to grow your knowledge.

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Free Machine Learning Summer Training with Analytics Vidhya

Analytics Vidhya

Introduction When summer begins, all of us get excited and start planning all the fun activities that we would like to do in these a few days. Some of us, love to focus on upskill and upgrade ourselves in terms of skillset. We are happy to announce that Analytics Vidhya is launching a summer training […]. The post Free Machine Learning Summer Training with Analytics Vidhya appeared first on Analytics Vidhya.

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IONOS Is Focusing on Four Pillars of Sustainability: Planet, People, Digital Responsibility, and Customer

CIO Business Intelligence

“We want our customers to know that achieving zero carbon emissions isn’t our final goal, it’s just part of the journey. We want to continue improving the energy efficiency of our data centers, generate renewable energy on site, and integrate circular economy concepts into the lifecycle of our IT equipment and our operations. Corporate climate change discussions typically focus on customers, regulations, and efforts to reduce costs, which of course are all important.

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Success Story: Birdi Deploys a New Cloud Environment Tapping Sirius and Amazon Managed Services

CDW Research Hub

The Client­­­­. Birdi, Inc. Birdi provides their customers with low-cost prescription drugs with free and flexible delivery options as well as expert assistance. The company’s mission is to improve the pharmacy experience for everyone, and they work to simplify the management of health insurance, find the best medication prices, choose delivery options, and track orders.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Data Catalog Management 101: The Tools and Roles You Need for Success

Octopai

Sit back and imagine how you would feel when…. Your CFO says to you, “You were right. This data catalog is helping boost our bottom line.”. Your data team spends more time doing high-level analysis than it does searching for relevant datasets. Your most technologically-challenged business user searches the data catalog at least once a week – without coming to you for help!

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Automating Model Risk Compliance: Model Monitoring

DataRobot Blog

Monitoring Modern Machine Learning (ML) Methods In Production. In our previous two posts, we discussed extensively how modelers are able to both develop and validate machine learning models while following the guidelines outlined by the Federal Reserve Board (FRB) in SR 11-7. Once the model is successfully validated internally, the organization is able to productionize the model and use it to make business decisions.

Risk 59
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Using ML to Enhance Credit Card Fraud Analysis

Dataiku

Since they appeared in 1950 with the “Diners Club Card,” credit cards haven’t ceased to be the target of fraudsters. With the evolution of the technology and appearance of the internet, new ways of playing the system and emptying bank accounts were created. It is the responsibility of banks and retailers to secure payments for consumers, so now — more than ever — this concern should be taken seriously by companies facing fraud.

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What Where They Thinking?

Andrew White

I involuntarily laughed when I read an article over the weekend. Quickly my laugh was withdrawn as my stomach turned over. An unintended consequence killed the very people a decision was designed to save. This is a story of a nudge that went horribly wrong. In the Economist last week there was a short article titled, Road Safety: Truth Kills. The ‘road safety’ in question concerns a road sign.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.