Thu.Feb 16, 2023

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AI in Daily Life: Applications and Threats

Analytics Vidhya

Introduction We are witnessing a revolution in the world due to artificial intelligence. This branch of computer science focuses on creating machines that mimic human intelligence in speech recognition, problem-solving, and pattern recognition tasks. Rapid advancements in AI technology have become a ubiquitous part of our daily activities, enhancing everything from consumer technology to healthcare, […] The post AI in Daily Life: Applications and Threats appeared first on Analytics Vidhya.

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Sydney and the Bard

O'Reilly on Data

It’s been well publicized that Google’s Bard made some factual errors when it was demoed, and Google paid for these mistakes with a significant drop in their stock price. What didn’t receive as much news coverage (though in the last few days, it’s been well discussed online) are the many mistakes that Microsoft’s new search engine, Sydney, made.

Testing 219
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Role of Artificial Intelligence in Smart Meters

Analytics Vidhya

Introduction Global transformations are taking place to get the most out of the data because of the widespread deployment of smart meters, which present more than 16 million in the United Kingdom. Aim of researchers and utilities are Timely and accurate billing, a better understanding of home energy use, easing the transition to renewable energy […] The post Role of Artificial Intelligence in Smart Meters appeared first on Analytics Vidhya.

Analytics 306
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Advanced Analytics Enable More Informed Decision-Making

David Menninger's Analyst Perspectives

I’ve previously written about the analytics continuum, which spans a range of capabilities including reporting, visualization, planning, real-time processes, natural language processing, artificial intelligence and machine learning. I’ve also written about the analysis that goes into making intelligent decisions with decision intelligence. In this perspective, I’d like to focus on one end of the analytics continuum, which I’ll label advanced analytics.

Analytics 144
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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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Partial AUC Scores: A Better Metric for Binary Classification

Analytics Vidhya

Introduction Partial AUC (Area Under the Curve) scores are a valuable tool for evaluating the performance of binary classification models, particularly when the class distribution is highly imbalanced. Unlike traditional AUC scores, partial AUC scores concentrate on a specific region of the ROC (Receiver Operating Characteristic) curve, offering a more detailed evaluation of the model’s […] The post Partial AUC Scores: A Better Metric for Binary Classification appeared first on Analy

Metrics 284
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Machine Learning Helps Social Media Marketers Earn Higher ROIs

Smart Data Collective

We have talked extensively about some of the changes machine learning has introduced to the marketing profession. According to one analysis, companies that used machine learning in their marketing strategies boosted sales by up to 50%. There are a number of ways that companies can boost their marketing strategies with machine learning technology. One of the biggest benefits involves using machine learning to improve the performance of their social media marketing strategies.

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5 Genuinely Useful Bash Scripts for Data Science

KDnuggets

In this article, we are going to take a look at five different data science-related scripting-friendly tasks, where we should see how flexible and useful Bash can be.

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Anomaly Detection in ECG Signals: Identifying Abnormal Heart Patterns Using Deep Learning

Analytics Vidhya

Introduction Depending on the sector and the particular example, anomaly detection entails spotting out-of-the-ordinary or erratic patterns in data to spot undesirable or odd events. Anomaly detection can assist in seeing surges in partially completed or fully completed transactions in sectors like e-commerce, marketing, and others, allowing for aligning to shifts in demand or spotting […] The post Anomaly Detection in ECG Signals: Identifying Abnormal Heart Patterns Using Deep Learning ap

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Straumann Group’s Sridhar Iyengar has a bold mission: To transform the nearly 70-year-old company’s data and technology organization into a data-as-a-service provider for the global manufacturer and supplier of dental implants, prosthetics, orthodontics, and digital dentistry — and to provide business stakeholders machine learning (ML) as a service as well.

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4 Reasons Why Self-Service Analytics Is Here to Stay

Dataiku

Self-service analytics refers to decentralized ownership of the insight production process (and isn’t just “pulling numbers from dashboards”). For example, in an ideal world, line of business professionals or analysts would be able to work with data to generate insights and data visualizations with little direct support from data scientists, IT, or the larger data team (though the data product itself and its greater platform should be supported by these profiles).

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Simple NLP Pipelines with HuggingFace Transformers

KDnuggets

Transformers by HuggingFace is an all-encompassing library with state-of-the-art pre-trained models and easy-to-use tools.

Modeling 110
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Automate deployment of an Amazon QuickSight analysis connecting to an Amazon Redshift data warehouse with an AWS CloudFormation template

AWS Big Data

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data. QuickSight provides easy integration with Amazon Redshift, providing native access to all your data and enabling organizations to scale their business analytics capabilities to hundreds of thou

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Fashion & Business Intelligence (BI)—An Unbelievable Connection

Paris Technologies

How can Business Intelligence solutions benefit fashion industry? Using the right BI tool such as OLATION and PowerOLAP to manage a manufacturer, designer and distribution sales channels can revolutionize traditional ready-to-wear fashion company’s complicated and inefficient systems into a streamlined process. The post Fashion & Business Intelligence (BI)—An Unbelievable Connection first appeared on PARIS Tech.

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What’s With All the Layoffs in Tech?

KDnuggets

Answering all the questions that you've been asking about the layoffs in the tech industry.

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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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Why Should I Consider the Citizen Data Scientist Role?

Smarten

Taking on the Citizen Data Scientist Role: What’s in it for Me? As a team member within a business environment, you may be aware of the term ‘Citizen Data Scientist.’ This term has been around for some time and was popularized by Gartner. Gartner says that a Citizen Data Scientist is “a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.” ‘Transforming business u

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How I Got My First Job as a Data Scientist

KDnuggets

Things I believe contributed to my success.

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CI&TO Abhi Dhar on embracing challenges and growing IT leaders

CIO Business Intelligence

Abhi Dhar has had a rich career journey, from serving as chief digital officer of a Fortune 50 company to co-founding a tech startup. In his current role as executive vice president and chief information and technology officer at TransUnion, he’s responsible for all aspects of the company’s technology, including strategy, security, applications, operations, infrastructure, and delivery of solutions that support its global information systems and associates.

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Building Your Human Benchmark with Ontotext Metadata Studio

Ontotext

Assessing the abilities of Artificial Intelligence (AI) systems is a critical aspect of development that has become increasingly important as AI has expanded into various areas of application. We can evaluate their performance through comparisons to human benchmarks, to other AI systems or a combination of both. But no matter which approach serves our purpose best, it remains a specialized task, with varying levels of difficulty depending on the specific field of AI.

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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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ChatGPT and AI’s Impact on Data Visualisation Work

The Data Visualisation Catalogue

In the previous post , I explored how useful ChatGPT currently is for data visualisation. This was done through testing this AI tool on a number of tasks and on its information retrieval ability. The results showed that ChatGPT still had some way to go on the theory and consulting side of things, as it still made mistakes and had limited knowledge on the subject.

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Monolithic vs. Logical Architecture: Which for the Win?

Data Virtualization

Reading Time: 3 minutes As any data leader will tell you, it is impossible to derive any value from data unless it is accessible and reliable, regardless of where the data resides. Unfortunately, organizations are far from achieving this goal, because their data is. The post Monolithic vs. Logical Architecture: Which for the Win? appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Python is the New Excel

Domino Data Lab

It's becoming clear that the traditional “citizen data scientist” approach, focusing on no-code tools, has become an evolutionary dead end. Organizations who have pursued this route have little to show beyond PoCs and one-off successes despite years of investment in training and underutilized, proprietary tools. The best that can be said is that these efforts have been a costly way of democratizing data prep and business intelligence.

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Monolithic vs. Logical Architecture: Which for the Win?

Data Virtualization

Reading Time: 3 minutes As any data leader will tell you, it is impossible to derive any value from data unless it is accessible and reliable, regardless of where the data resides. Unfortunately, organizations are far from achieving this goal, because their data is. The post Monolithic vs. Logical Architecture: Which for the Win? appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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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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Three Ways CXO Dashboards Turn Static Data Into Dynamic Insights

Jet Global

The role of finance has evolved significantly in recent years. No longer limited to recordkeeping and reporting, your finance team must understand your company’s financial narrative and be able to easily present it to C-suite executives who rely on these insights to inform your company’s a strategic direction. To easily access these insights, you need to be ahead of the automation curve.