Tue.Mar 21, 2023

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GPT4’s Master Plan: Taking Control of a User’s Computer!

Analytics Vidhya

Introduction With the rapid advancements in Artificial Intelligence (AI), it has become increasingly important to discuss the ethical implications and potential risks associated with the development of these technologies. In this blog post, we will delve into a scenario in which GPT-4, the latest AI language model, devises a plan to “escape” by gaining control […] The post GPT4’s Master Plan: Taking Control of a User’s Computer!

Risk 313
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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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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.

Analytics 296
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Hitachi Vantara DataOps Improves Analytics and Decision-Making

David Menninger's Analyst Perspectives

Now more than ever, effective data management is crucial to enable decision-makers to better assess information and take calculated actions. It is also important to keep up with the latest trends and technologies to derive higher value from data and analytics and maintain a competitive edge in the market. However, every organization faces challenges with data management and analytics.

Analytics 144
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Get Better Network Graphs & Save Analysts Time

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.

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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 294
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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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Automated Machine Learning with Python: A Comparison of Different Approaches

KDnuggets

These four automated machine learning tools will help you build ML models quickly for your Data Science projects.

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Embedded BI and Augmented Analytics Support ISV Partner Clients!

Smarten

How Can Embedded BI Help ISV Partners Improve Revenue and Market Visibility? Recent research reveals that 67% of companies surveyed say time spent in their applications increased after they embedded analytics. Why do you suppose that is? If you are a business manager or executive and you want to make the most of your technology investment, there are many reasons to consider embedding analytics.

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Next Level AI Programming: Prompt Design & Building AI Products

KDnuggets

In this course, we'll dive into the world of prompt design and learn how to create AI products like auto-generated podcasts.

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Overcoming ROI challenges in digital transformation for mid-size manufacturers

3AG Systems

Digital transformations hold the promise of improved efficiency, enhanced customer experiences, and increased competitiveness in the manufacturing industry. However, they don't always go as planned. A key reason for failure lies in the challenges associated with obtaining a satisfactory Return on Investment (ROI). In this article, we will explore four ways mid-size manufacturers can combat these challenges and successfully implement digital transformation initiatives.

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Understanding User Needs and Satisfying Them

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.

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A Guide to Data Analytics in the Travel Industry

Alation

Today, modern travel and tourism thrive on data. For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. While this industry has used data and analytics for a long time, many large travel organizations still struggle with data silos , which prevent them from gaining the most value from their data.

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How AWS Payments migrated from Redash to Amazon Redshift Query Editor v2

AWS Big Data

AWS Payments is part of the AWS Commerce Platform (CP) organization that owns the customer experience of paying AWS invoices. It helps AWS customers manage their payment methods and payment preferences, and helps customers make self-service payments to AWS. The Machine Learning, Data and Analytics (MLDA) team at AWS Payments enables data-driven decision-making across payments processes and partners by delivering data, business insights, and causal and ML inferences through a scalable set of data