Thu.Apr 06, 2023

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Student Performance Analysis and Prediction

Analytics Vidhya

Introduction This article uses to predict student performance. For many applications, including online customer service, marketing, and finance, the stock price is a crucial challenge. Given a student’s performance using big organizations and institutions, it can be difficult to come up with a Student performance analysis and prediction system that is accurate across all models. […] The post Student Performance Analysis and Prediction appeared first on Analytics Vidhya.

Finance 305
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The Future of Work: How AI is Changing the Job Landscape

KDnuggets

With more and more companies integrating artificial intelligence into the workplace, what does this mean for employees' futures and careers?

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From Turing Test to ChatGPT: The Remarkable Journey of AI

Analytics Vidhya

Artificial Intelligence (AI) has come a long way since its early days. It has been fueled by numerous factors, including advancements in computing technology and an increasing demand for automated systems. From the Turing machine to modern-day AI marvels like ChatGPT, the landscape of AI has evolved to encompass a wide range of applications in […] The post From Turing Test to ChatGPT: The Remarkable Journey of AI appeared first on Analytics Vidhya.

Testing 305
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8 Open-Source Alternative to ChatGPT and Bard

KDnuggets

Discover the widely-used open-source frameworks and models for creating your ChatGPT like chatbots, integrating LLMs, or launching your AI product.

Modeling 136
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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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AI “Could Be” Dangerous – Joe Biden

Analytics Vidhya

U.S. President, Joe Biden, has expressed concerns about the potential dangers of Artificial Intelligence (AI) during a recent meeting of the President’s Council of Advisors on Science and Technology. He compared the potential uses and risks of AI development and stated it could be dangerous. He also cautioned AI development firms to ensure the safety […] The post AI “Could Be” Dangerous – Joe Biden appeared first on Analytics Vidhya.

Risk 296
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My Data Science Six Months Success Story

KDnuggets

I will be sharing a couple of things I have learned in the past six months and tips that helped me stay dedicated and true to my journey in this article.

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How Foodstuffs North Island’s IT team weathered recent NZ storms to keep stores operational

CIO Business Intelligence

New Zealand’s start to 2023 has been challenging, with Auckland hit by torrential flooding in January followed by Cyclone Gabrielle in February, which left a trail of destruction across Northland, Hawkes Bay, and the East Coast. For Foodstuffs North Island, the supermarket cooperative behind well-known brands like New World, Pak’nSave, and Four Square, several of their stores were cut off, damaged, and without connectivity as a result.

IT 98
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Bridging the Gap Between Industries: The Power of Knowledge Graphs – Part I

Ontotext

Imagine starting your day with a friend who’s always looking out for you. For many of us that is already happening the moment we enter our cars. Seemingly overnight, our cars have become quite smart, with a plethora of sensors, cameras, microphones and other gadgets. Now, they not only know whether all systems are operational, what our destination is or the speed limits ahead, but can also track the road conditions and the traffic around us to keep us safe.

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Patterns for updating Amazon OpenSearch Service index settings and mappings

AWS Big Data

Amazon OpenSearch Service is used for a broad set of use cases like real-time application monitoring, log analytics, and website search at scale. As your domain ages and you add additional consumers, you need to reevaluate and change the domain’s configuration to handle additional storage and compute needs. You want to minimize downtime and performance impact as you make these changes.

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Free eBook: 10 Practical Python Programming Tricks

KDnuggets

Check out this free ebook of tip and tricks for getting ahead with your Python programming skills.

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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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How IBM and Oracle help businesses embrace the future of sustainable supply chains

IBM Big Data Hub

Sustainability may be an overused and sometimes vague buzzword, but it’s an essential requirement for every part of a business, across customer relations and the regulatory environment, as well as for society. Oracle and IBM are two global leaders in sustainability, helping companies eliminate waste, make their supply chains more efficient and monitor equipment to make sure it’s performing at an optimal level.

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AI: A Hidden Key to Brand Trust and Loyalty

CIO Business Intelligence

By Bryan Kirschner, Vice President, Strategy at DataStax Artificial intelligence is something developers are excited to work on. So much so that many enterprises give their AI systems names to better tout their innovations and aspirations to the world ( Halo at Priceline or Michelangelo at Uber , for example). But, as the saying goes , when it comes to the typical consumer, people don’t want to buy a quarter-inch drill; they want a quarter-inch hole.

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NYC puts AI on notice: How a new HR regulation in NYC is impacting global processes

IBM Big Data Hub

Organizations sourcing, screening, interviewing, hiring or promoting individuals in New York City are required to conduct yearly bias audits on automated employment decision-making tools as per New York City Local Law 144 , which was enacted in December 2021. This new regulation applies to any “automated employment tool;” so, any computational process derived from machine learning, statistical modeling, data analytics, or artificial intelligence, including homegrown and third-party p

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The Benefits Of Doing A Data Maturity Assessment

Anmut

Data is becoming an increasingly important driver of business success, and organisations are recognising the need to manage and leverage their data effectively. However, achieving a high level of data maturity can be a challenging journey. That’s where data maturity assessments come in – they help businesses understand their current data maturity, and equip them with the tools and resources necessary to climb the data maturity curve.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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Make AI Collaborative With Dataiku

Dataiku

When you think about collaborative AI, you might imagine humans and machines working together: Seamless interplay between humans and AI. The artificial intelligence does what it does best. That is, analyzing mass volumes of data and making that information accessible to the human (maybe through a prediction or recommendation).

IT 52
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Why Spreadsheets Are Your Secret Weapon for Efficient Data Governance

Alation

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. Other forms of governance address specific sets or domains of data including information governance (for unstructured data), metadata governance (for data documentation), and domain-specific data (master, customer, product, etc.).

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How Morningstar used tag-based access controls in AWS Lake Formation to manage permissions for an Amazon Redshift data warehouse

AWS Big Data

This post was co-written by Ashish Prabhu, Stephen Johnston, and Colin Ingarfield at Morningstar and Don Drake, at AWS. With “Empowering Investor Success” as the core motto, Morningstar aims at providing our investors and advisors with the tools and information they need to make informed investment decisions. In this post, Morningstar’s Data Lake Team Leads discuss how they utilized tag-based access control in their data lake with AWS Lake Formation and enabled similar controls in Amazon Redshif