Tue.Apr 09, 2024

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Quality Assurance, Errors, and AI

O'Reilly on Data

A recent article in Fast Company makes the claim “ Thanks to AI, the Coder is no longer King. All Hail the QA Engineer.” It’s worth reading, and its argument is probably correct. Generative AI will be used to create more and more software; AI makes mistakes and it’s difficult to foresee a future in which it doesn’t; therefore, if we want software that works, Quality Assurance teams will rise in importance.

Testing 191
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Comprehensive Guide on Non Parametric Tests

Analytics Vidhya

Introduction In this article, we will explore what is hypothesis testing, focusing on the formulation of null and alternative hypotheses, setting up hypothesis tests and we will deep dive into parametric and non-parametric tests, discussing their respective assumptions and implementation in python. But our main focus will be on non-parametric tests like the Mann-Whitney U […] The post Comprehensive Guide on Non Parametric Tests appeared first on Analytics Vidhya.

Testing 285
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AI Innovations in Data and Analytics at SAP

David Menninger's Analyst Perspectives

Data and analytics have become increasingly important to all aspects of business. The modern data and analytics stack includes many components, which creates challenges for enterprises and software providers alike. As my colleague Matt Aslett points out , a better term might be modern data and analytics smorgasbord. There are arguments for and against using an assortment of tools versus a consolidated platform.

Analytics 130
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10+ New Jobs in The Generative AI Era

Analytics Vidhya

Introduction Generative AI has been a hot topic of the 21st century. OpenAI’s ChatGPT, Google Gemini, Microsoft Copilot, and other tools got everybody’s attention and sparked a wave of innovation in artificial intelligence and natural language processing. The continuous development and investment by the leaders in the GenAI era created jobs in areas such as […] The post 10+ New Jobs in The Generative AI Era appeared first on Analytics Vidhya.

Analytics 283
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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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Atos staves off bankruptcy, casts wider net for refinancing

CIO Business Intelligence

Atos may have won a few extra months to find a long-term solution to its financial problems after reaching interim agreements with banks, bondholders, and the French government to provide €450 million (US$490 million) in additional liquidity. But the company is out of ideas for finding new money after the collapse of plans to sell its legacy infrastructure management business to an investment fund and its big data business to Airbus.

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9 Best Open Source Text-to-Speech (TTS) Engines

Analytics Vidhya

Introduction If you are working on Artificial Intelligence or Machine learning models that require the best Text-to-Speech (TTS), then you are on the right path. Text-to-speech (TTS) technology, especially open source, has changed how we interact with digital content. This technology has come a long way; nowadays, we have access to some incredibly natural-sounding and […] The post 9 Best Open Source Text-to-Speech (TTS) Engines appeared first on Analytics Vidhya.

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Oracle Develops AI-Powered Solution to Fight Money Laundering

Analytics Vidhya

Oracle Financial Services has unveiled an innovative solution aimed at supporting banks’ efforts to combat money laundering. With the increasing complexity of compliance and the staggering $5.05 trillion expected to be laundered this year, the financial sector faces unprecedented challenges. In response, Oracle Financial Services has introduced the Oracle Financial Services Compliance Agent, an AI-powered […] The post Oracle Develops AI-Powered Solution to Fight Money Laundering appe

Analytics 272
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The Case of Homegrown Large Language Models

KDnuggets

Recent developments in building large language models (LLMs) to boost generative AI in local languages have caught everyone’s attention. This post focuses on the needs and challenges of homegrown LLMs amid the fast-evolving technology landscape.

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Struggle to Write? From Blank Page to Brilliant Content: Writesonic Hacks You NEED!

Analytics Vidhya

Introduction In a world where creating content is both an art and a need, writers regularly encounter the frightening image of a blank page and a flashing cursor. For those who wish to express themselves clearly and generate content, freelance, or operate enterprises, writer’s block can be a significant barrier. But amid this struggle, a […] The post Struggle to Write?

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How the Masters uses watsonx to manage its AI lifecycle

IBM Big Data Hub

At the Masters®, storied tradition meets state-of-the-art technology. Through a partnership spanning more than 25 years, IBM has helped the Augusta National Golf Club capture, analyze, distribute and use data to bring fans closer to the action, culminating in the AI-powered Masters digital experience and mobile app. Now, whether they’re lining the fairways or watching from home, fans can more fully appreciate the performance of the world’s best golfers at the sport’s most

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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 Comprehensive Guide on Neural Networks

Analytics Vidhya

Introduction Decoding Neural Networks: Inspired by the intricate workings of the human brain, neural networks have emerged as a revolutionary force in the rapidly evolving domains of artificial intelligence and machine learning. However, before delving deeper into neural networks, it’s essential to grasp the distinction between machine learning and deep learning.

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Elon tweets out my cartoon :-)

Timo Elliott

Elon Musk tweeted out my statistics cartoon yesterday. 37 Million views and counting—this is presumably the closest I will ever get to fame! (Credit where credit is due: I used ChatGPT to create a base graphic, then did some editing and fixing and added the words in Photoshop. And the phrase is not mine: variations have been around at least since I studied statistics at university a long time ago, and I think Hannah Fry coined this excellent version).

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Archetype AI’s Newton Model Communicates with the Physical World in Real Time

Analytics Vidhya

In a world inundated with sensor data, understanding the intricate workings of the physical world has always been a challenge. However, a breakthrough has emerged in the form of Archetype AI’s Newton model. This new model revolutionizes how we interpret and interact with sensor data in real-time. Let’s explore its features and applications.

Modeling 229
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Convert Python Dict to JSON: A Tutorial for Beginners

KDnuggets

Learn how to convert a Python dictionary to JSON with this quick tutorial.

86
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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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Best BI Tools Examples for 2024: Business Intelligence Software

FineReport

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making. The latest trends in business intelligence are reshaping the way organizations utilize data to gain a strategic advantage.

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Alteryx to Dataiku: Repeatable Recipes

Dataiku

And just like that, we’re on to part 3 of this Alteryx to Dataiku series! Part 2 was all about Dataiku’s modern take on data — where it’s similar to Alteryx and where things diverge. Today, I’ll shift gears from the data itself to what can be done with it inside of Dataiku. I think of it as moving from raw ingredients to finished meals. Appropriately, in Dataiku, we get to those end results through repeatable steps called recipes.

IT 52
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The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

Understanding Healthcare BI Tools The Role of Healthcare BI Tools Healthcare BI tools are instrumental in revolutionizing decision-making processes and patient care through the utilization of advanced data analysis and technology. By leveraging these tools, healthcare providers can gain valuable insights into patient outcomes, operational efficiency, and resource allocation.

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Gretel Releases World’s Largest Open Source Text-to-SQL Dataset

Analytics Vidhya

Gretel, a pioneering force in synthetic data solutions, has taken a momentous step towards democratizing AI training data. Their recent unveiling of the world’s largest open-source Text-to-SQL dataset marks a significant leap in empowering businesses to harness the full potential of artificial intelligence. This move promises to revolutionize AI model training, offering unprecedented opportunities across […] The post Gretel Releases World’s Largest Open Source Text-to-SQL Datas

Modeling 219
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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

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Embedded BI Ensures User Adoption!

Smarten

Why Should My Business Adopt Embedded BI and Analytics? There are many reasons to consider adding embedded BI to your enterprise technology landscape. When you are making a critical business decision, one of the factors you probably include is how your competitors and other businesses are addressing the problems you are trying to solve. When making a decision about Embedded BI consider these survey results.

ROI 52