Sat.Mar 18, 2023 - Fri.Mar 24, 2023

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ChatGPT User History Vanishes: A Wake-Up Call on Privacy and AI Reliability

Analytics Vidhya

Introduction As AI continues to revolutionize our daily lives, its reliability and security become increasingly concerning. The recent issue of ChatGPT’s user history being unavailable for most users is a stark reminder of these concerns. In this blog post, we’ll explore the implications of this incident and what it means for the future of AI-powered […] The post ChatGPT User History Vanishes: A Wake-Up Call on Privacy and AI Reliability appeared first on Analytics Vidhya.

Analytics 281
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Data Quality Dimensions: Assuring Your Data Quality with Great Expectations

KDnuggets

This article highlights the significance of ensuring high-quality data and presents six key dimensions for measuring it. These dimensions include Completeness, Consistency, Integrity, Timelessness, Uniqueness, and Validity.

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SAP Datasphere Powers Business at the Speed of Data

Rocket-Powered Data Science

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. The insights are used to produce informative content for stakeholders (decision-makers, business users, and clients).

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What Are ChatGPT and Its Friends?

O'Reilly on Data

ChatGPT, or something built on ChatGPT, or something that’s like ChatGPT, has been in the news almost constantly since ChatGPT was opened to the public in November 2022. What is it, how does it work, what can it do, and what are the risks of using it? A quick scan of the web will show you lots of things that ChatGPT can do. Many of these are unsurprising: you can ask it to write a letter, you can ask it to make up a story, you can ask it to write descriptive entries for products in a catalog.

IT 267
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Creating Interactive and Animated Charts with ipyvizzu

Analytics Vidhya

Introduction Data visualization (DV) plays a crucial role in analyzing and interpreting data. It helps to identify patterns, trends, and relationships in large and complex datasets, making it easier to communicate insights and findings to a broader audience. With the growing importance of data science and machine learning, data analysis holds a special place in […] The post Creating Interactive and Animated Charts with ipyvizzu appeared first on Analytics Vidhya.

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Understanding The Value Of Column Charts With Examples & Templates 

datapine

Table of Contents 1) What Are Column Charts & Graphs? 2) Pros & Cons Of Column Charts 3) When To Use A Column Graph 4) Types Of Column Charts 5) Column Graphs & Charts Best Practices 6) Column Chart Examples Data visualization has been a part of our lives for many many years now. Even if you don’t work with data in your day-to-day job, you have most likely encountered graphs and charts at some point in your life.

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A Complete Collection of Data Science Free Courses – Part 1

KDnuggets

The first part covers the list of Programming, Web scraping, Statistics & Probability, Data Analytics, SQL, and Business Intelligence free courses.

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Ernie Bot vs. ChatGPT: A Comparative Analysis of AI-Language Models

Analytics Vidhya

The world of artificial intelligence and natural language processing is continuously evolving, with innovative language models being developed to better understand and interact with human language. Two such language models are Baidu’s Ernie Bot and OpenAI’s ChatGPT. In this blog post, we’ll delve into the similarities, differences, and potential use cases of these two powerful […] The post Ernie Bot vs.

Modeling 336
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What is data governance? Best practices for managing data assets

CIO Business Intelligence

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Governance Institute defines it as “a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what inf

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Tellius Enables Decision Intelligence

David Menninger's Analyst Perspectives

Organizations are continuously searching for new business opportunities hidden in their data. They are using various technologies including artificial intelligence and machine learning (AI/ML) to uncover granular insights that can support decision-making. Existing tools and dashboards are effective for observing standard metrics; however, they do not address follow-up questions, such as why things are happening or how those events impact performance.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Predictive Analytics Helps New Dropshipping Businesses Thrive

Smart Data Collective

Many different industries are growing due to the proliferation of big data. The dropshipping industry is among them. Paul Glen of IBM’s Business Analytics wrote an article titled “ The Role of Predictive Analytics in the Dropshipping Industry.” Glen shares some very important insights on the benefits of utilizing predictive analytics to optimize a dropshipping commpany.

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The Controversy of AI Training With Personal Data: A Deep Dive Into Bard’s Use of Gmail

Analytics Vidhya

In a world where artificial intelligence (AI) continues transforming industries, privacy concerns are increasingly becoming a hot topic. The recent revelation that an AI known as ‘Bard’ has been trained with users’ Gmail data has sparked widespread debate amongst the masses. People now question the ethical implications of this practice and worry about the security […] The post The Controversy of AI Training With Personal Data: A Deep Dive Into Bard’s Use of Gmail ap

Analytics 320
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10 cloud mistakes that can sink your business

CIO Business Intelligence

The cloud has changed the IT and business worlds forever, and generally for the better. But when misused or abused the cloud can backfire, leading to a serious business setback or, in a worst-case situation, long-term competitive damage. Ensuing proper cloud use is essential in today’s high-stakes, fast-paced business environment. Learn from the following 10 mistakes, and do your best not to repeat them. 1.

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KDnuggets Top Posts for January 2023: SQL and Python Interview Questions for Data Analysts

KDnuggets

SQL and Python Interview Questions for Data Analysts • 5 SQL Visualization Tools for Data Engineers • 5 Free Tools For Detecting ChatGPT, GPT3, and GPT2 • Top Free Resources To Learn ChatGPT • Free TensorFlow 2.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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AI is Driving Huge Changes in Omnichannel Marketing

Smart Data Collective

Artificial intelligence is the latest trend shaping the omnichannel experience for customers in many retail outlets. One of the biggest trends pertains to personalization. The Forbes Research Council wrote an article in October citing research showing that 71% of customers now expect a personalized experience. The article makes the point that AI is key to meeting that expectation.

Marketing 121
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Microsoft Power Platform Copilot: The Dawn of a New Era in Low-Code Development

Analytics Vidhya

Introduction The world of software development is ever-evolving, and with the increasing demand for powerful and easy-to-use solutions, low-code development platforms have emerged as game-changers. Microsoft’s Power Platform Copilot is one such cutting-edge platform that aims to transform how we approach software development. In this blog post, we will discuss how the Power Platform Copilot […] The post Microsoft Power Platform Copilot: The Dawn of a New Era in Low-Code Development a

Software 304
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10 things CIOs wish they knew from the start

CIO Business Intelligence

“Life can only be understood backwards but it must be lived forwards,” wrote Danish philosopher Søren Kierkegaard. That’s true, but what if by some stroke of magic we could go back in time and give a pep talk to our younger selves. What would we say? To provide some indirect counsel for first-time CIOs, we asked IT leaders to have a quiet word with their younger selves when they first took on a senior IT leadership role.

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Top 15 YouTube Channels to Level Up Your Machine Learning Skills

KDnuggets

Machine learning is the key driver of innovation and progress but finding the right resources to learn can be a tiring process. Save time searching aimlessly, and take advantage of our curated list of the top 15 YouTube channels to jumpstart your journey.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Key Strategies to Develop AI Software Cost-Effectively

Smart Data Collective

You have probably read a lot about the major changes brought on by AI technology in recent months. Many people have called 2023 “the year of AI.” Every day we hear new stories about miraculous breakthroughs caused by ChatGPT and other AI applications. For example, ChatGPT recently The Independent said that the technology is starting to show signs that it can think like humans.

Software 116
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Navigating Privacy Concerns: The ChatGPT User Chat Titles Leak Explained

Analytics Vidhya

The recent incident of ChatGPT, an advanced AI language model by OpenAI, inadvertently leaking user chat titles has raised concerns about user privacy and data protection in AI-driven platforms. This blog post will delve into the incident, its implications, and the essential steps required to ensure user privacy and trust in the age of AI. […] The post Navigating Privacy Concerns: The ChatGPT User Chat Titles Leak Explained appeared first on Analytics Vidhya.

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Industry clouds prove their business value

CIO Business Intelligence

Companies across nearly every vertical are finding a transformational lifeline in industry clouds. Swiss biopharmaceutical Idorsia is one such company, having embraced a partnership with industry cloud provider Veeva to survive. In June 2017, Idorsia had a lot on its plate, namely a new company to stand up, with 650 scientists and employees, a robust discovery pipeline, early-stage clinical assets, and plans to launch commercial products within five years.

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Data migration to Snowflake, a comprehensive primer

Octopai

Data migration can be a daunting task, especially when dealing with large volumes of data. Snowflake is one of the leading cloud-based data warehouse that provides scalability, flexibility, and ease of use. It offers a range of features that make it an ideal platform for storing, managing, and analyzing large volumes of data. In order to make the migration process less painful for you and your team, we have devised a comprehensive primer on data migration to Snowflake and how data lineage and im

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Top Five AI-Driven Digital Marketing Tools in 2023

Smart Data Collective

We have seen some massive changes with AI technology in the past year, especially in the field of marketing. While we have talked about advances in AI for years on this blog, the rest of the world is finally coming to grips with the extent of the AI revolution. This past week, a growing number of people have talked about the changes that ChatGPT 4 is brining to our lives.

Marketing 114
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How to Use AI and ML Tools For HR Management in 2023?

Analytics Vidhya

Introduction The advent of the internet and the potential for mass quantitative and qualitative data collection altered the desire for and potential for measuring processes other than those in human resources. Moreover, the development of advanced technologies like Artificial intelligence (AI) and machine learning (ML) and their wide accessibility has encouraged more firms to employ […] The post How to Use AI and ML Tools For HR Management in 2023?

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How can CIOs protect Personal Identifiable Information (PII) for a new class of data consumers?

CIO Business Intelligence

Industries increasingly rely on data and AI to enhance processes and decision-making. However, they face a significant challenge in ensuring privacy due to sensitive Personally Identifiable Information (PII) in most enterprise datasets. Safeguarding PII is not a new problem. Conventional IT and data teams query data containing PII, but only a select few require access.

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Machine Learning: What is Bootstrapping?

KDnuggets

Bootstrapping is an essential technique if you're into machine learning. We’ll discuss it from theoretical and practical standpoints. The practical part involves two examples of bootstrapping in Python.

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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Is AI-Generated Content a Net Positive for Businesses?

Smart Data Collective

Global businesses are projected to spend over $420 billion on AI technology by 2028. One of the biggest reasons they are investing in AI is to improve their marketing strategies. You’re in the process of hiring another copywriter for your business, and you had a colleague tell you to try out AI-generated content. AI-generated content has been all the buzz lately as technology gets increasingly smarter, so it’s hard to tell when it’s appropriate and effective to use it.

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Top 11 Azure Data Services Interview Questions in 2023

Analytics Vidhya

Introduction In today’s world, data is growing exponentially with time with digitalization. Organizations are using various cloud platforms like Azure, GCP, etc., to store and analyze this data to get valuable business insights from it. You will study top 11 azure interview questions in this article which will discuss different data services like Azure Cosmos […] The post Top 11 Azure Data Services Interview Questions in 2023 appeared first on Analytics Vidhya.

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What’s next for network operations

CIO Business Intelligence

By Serge Lucio, Vice President and General Manager, Agile Operations Division This is a continuation of Broadcom’s blog series: 2023 Tech Trends That Transform IT. Stay tuned for future blogs that dive into the technology behind these trends from more of Broadcom’s industry-leading experts. Enterprise networks are undergoing a profound transformation.

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Domino’s Spring 2023 Release Drives Faster Innovation with Cutting-Edge AI for Every Enterprise

Domino Data Lab

In today's economic environment, all organizations need to unlock greater AI value, faster. 98% of CDOs and CDAOs say the companies that bring AI and ML solutions to market fastest will be the ones who survive and thrive in the upcoming times of economic uncertainty. More than ever, organizations need to scale the creation and operationalization of ML models across their businesses and bring to bear the latest, most powerful AI methods and tools.

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.