Tue.Jun 06, 2023

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Mastering LLMs: A Comprehensive Guide to Efficient Prompting

Analytics Vidhya

Introduction Language models are transforming the way we interact with technology. They power virtual assistants, chatbots, AI systems, and other applications, allowing us to communicate with them in natural language. However, interacting with these language models can be challenging, especially when they fail to provide the desired response. One can use a few tips and […] The post Mastering LLMs: A Comprehensive Guide to Efficient Prompting appeared first on Analytics Vidhya.

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14 organizations that support LGBTQ+ tech workers

CIO Business Intelligence

The lack of diversity in IT doesn’t just leave underrepresented workers feeling alienated; it can also make them feel unsafe. That’s certainly true for the LGBTQIA+ community, with only 76% of LGBTQ+ workers reporting they feel safe in their workplace and 64% of trans and gender nonconforming (GNC) individuals saying the same, according to a report from Blind.

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Building a Multi-Task Model for Fake and Hate Probability Prediction with BERT

Analytics Vidhya

Introduction Social media has become a part of our daily life in today’s modern digital era. It provides us with a platform to express our thoughts and opinions. However, it also has its darker side and that is the widespread of fake and hate content. Some people might use social media to spread false information. […] The post Building a Multi-Task Model for Fake and Hate Probability Prediction with BERT appeared first on Analytics Vidhya.

Modeling 296
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ChatGPT and Your Organisation: How to Monitor Usage and Be More Aware of Security Risks

CIO Business Intelligence

OpenAI’s ChatGPT has made waves across not only the tech industry but in consumer news the last few weeks. People are looking to the AI chatbot to provide all sorts of assistance, from writing code to translating text, grading assignments or even writing songs. While there is endless talk about the benefits of using ChatGPT, there is not as much focus on the significant security risks surrounding it for organisations.

Risk 98
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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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China’s Proposed AI Regulations Shake the Industry

Analytics Vidhya

China is taking a significant step forward in regulating generative artificial intelligence (Generative AI) services with the release of draft measures by the Cyberspace Administration of China (CAC). These proposed rules aim to manage and regulate the use of Generative AI in the country. The draft measures, which were issued in April 2023, are part […] The post China’s Proposed AI Regulations Shake the Industry appeared first on Analytics Vidhya.

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From edge to cloud: The critical role of hardware in AI applications

CIO Business Intelligence

In this new blog series, we explore artificial intelligence and automation in technology and the key role it plays in the Broadcom portfolio. This Easter, I tasked Midjourney, the AI tool that generates art from text, to create a futuristic egg basket that showcased the concept of being digitally connected. What I saw blew my mind away. The artwork I received was not only visually stunning but also showed how AI is capable of bringing new ideas to life.

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Data Centric Revolution: Is Knowledge Ontology the Missing Link?

TDAN

You would think that after knocking around in semantics and knowledge graphs for over two decades I’d have had a pretty good idea about Knowledge Management, but it turns out I didn’t. I think in the rare event the term came up I internally conflated it with Knowledge Graphs and moved on.

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Topic Modeling with ML Techniques

Analytics Vidhya

Introduction Topic modeling is a method to use and identify the themes that exist in large sets of data. It’s a kind of unsupervised learning technique where the model tries to predict the presence of underlying topics without ground truth labels. It is helpful in a wide range of industries, including healthcare, finance, and marketing, […] The post Topic Modeling with ML Techniques appeared first on Analytics Vidhya.

Modeling 291
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Ten Years of AI in Review

KDnuggets

From image classification to chatbot therapy.

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Vision Transformers (ViT): Revolutionizing Computer Vision

Analytics Vidhya

Introduction Vision Transformers (ViT) have emerged as a revolutionary approach in the field of computer vision. It has lead to revolutionise and transform the way we perceive and analyze visual data. Traditionally, Convolutional Neural Networks (CNNs) have been the go-to models for visual tasks, but ViTs offer a novel alternative. By leveraging the self-attention mechanisms […] The post Vision Transformers (ViT): Revolutionizing Computer Vision appeared first on Analytics Vidhya.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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AWS Glue Data Quality is Generally Available

AWS Big Data

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. To make confident business decisions, the underlying data needs to be accurate and recent. Otherwise, data consumers lose trust in the data and make suboptimal or incorrect decisions.

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What are Functions of DBMS?

Analytics Vidhya

Database Management Systems (DBMS) are indispensable in today’s data-driven world. They serve as the backbone of information management by enabling efficient storage, retrieval, manipulation, and organization of vast amounts of data. Beyond data storage, DBMS performs crucial functions such as data definition, manipulation, administration, and security.

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Advanced Feature Selection Techniques for Machine Learning Models

KDnuggets

Mastering Feature Selection: An Exploration of Advanced Techniques for Supervised and Unsupervised Machine Learning Models.

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AI Takes the Lead in Prenatal Care: Predicting Fetal Heart Rate with Precision

Analytics Vidhya

Researchers have recently made groundbreaking progress in the field of machine learning (ML) by developing methods that accurately identify predictors associated with fetal heart rate changes in pregnant patients undergoing neuraxial analgesia. This revolutionary study, published in BMC Pregnancy and Childbirth, sheds light on the importance of using ML algorithms to predict and manage potential […] The post AI Takes the Lead in Prenatal Care: Predicting Fetal Heart Rate with Precision app

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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 for Data Science Interview Cheat Sheet

KDnuggets

Check out our latest cheat sheet! Learn how to leverage ChatGPT for data science interview preparation.

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Breaking News: Massive Protest Erupts Across Stack Overflow and Stack Exchange Network

Analytics Vidhya

On June 5th, 2023, a wave of frustration and discontent swept through the Stack Overflow and Stack Exchange communities as moderators, curators, contributors, and users united in a historic general moderation strike. This strike is a bold statement against recent and forthcoming changes implemented by Stack Exchange, Inc. These changes have sparked outrage and concern […] The post Breaking News: Massive Protest Erupts Across Stack Overflow and Stack Exchange Network appeared first on Analy

Analytics 270
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Lack of Proper Test Data Poses Bottleneck

TDAN

The world is in a digital revolution. Business models are increasingly based on software applications. IT is operating at a faster pace than ever before and has become a vital component of modern business. The speed of application development is becoming a decisive factor for a company’s success.

Testing 75
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Optimizing Portfolios with the Mean Variance Method in Python

Analytics Vidhya

Introduction While investing in equity markets (stock markets), we often diversify our investments in different stocks to maximize our returns. When investing in multiple stocks, determining the optimal allocation of funds to each stock to minimize risk and maximize returns can be challenging. However, with the help of the portfolio optimization method, we can overcome […] The post Optimizing Portfolios with the Mean Variance Method in Python appeared first on Analytics Vidhya.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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Data is Risky Business: Data Ethics and Governance in the Age of LLMs

TDAN

In the last few months, we have seen the wave of Artificial Intelligence break on the shores of wide-scale business adoption and mainstream media coverage of Large Language Models, most famously ChatGPT.

Risk 75
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Have Your Cake and Eat It Too With Dataiku + Databricks

Dataiku

In a fast-paced world of technological innovation, leaders must continuously find the best technology to meet users' needs across their organizations. As advanced analytics and AI become everyday technologies, the challenge to support everyone and encourage collaboration between teams becomes paramount.

IT 75
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Set up alerts and orchestrate data quality rules with AWS Glue Data Quality

AWS Big Data

Alerts and notifications play a crucial role in maintaining data quality because they facilitate prompt and efficient responses to any data quality issues that may arise within a dataset. By establishing and configuring alerts and notifications, you can actively monitor data quality and receive timely alerts when data quality issues are identified. This proactive approach helps mitigate the risk of making decisions based on inaccurate information.

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Protect Data Without a Password

TDAN

In an increasingly interconnected world, cybersecurity is of the utmost importance for many businesses. In fact, poor security isn’t just a hit to your reputation, it can also be expensive. Businesses of all sizes are looking for ways to mitigate these costs and prepare for cyberattacks.

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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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Visualize data quality scores and metrics generated by AWS Glue Data Quality

AWS Big Data

AWS Glue Data Quality allows you to measure and monitor the quality of data in your data repositories. It’s important for business users to be able to see quality scores and metrics to make confident business decisions and debug data quality issues. AWS Glue Data Quality generates a substantial amount of operational runtime information during the evaluation of rulesets.

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Privacy, Security & Machine Learning

TDAN

Data privacy and security matter. Given this, it will be a big deal if machine learning can make them easier to implement. So, how do CIOs and other security thought leaders think machine learning applies to privacy and security? Let’s start by looking at the risks and then discuss how technology makes addressing them easier.

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Introducing Amazon EMR on EKS job submission with Spark Operator and spark-submit

AWS Big Data

Amazon EMR on EKS provides a deployment option for Amazon EMR that allows organizations to run open-source big data frameworks on Amazon Elastic Kubernetes Service (Amazon EKS). With EMR on EKS, Spark applications run on the Amazon EMR runtime for Apache Spark. This performance-optimized runtime offered by Amazon EMR makes your Spark jobs run fast and cost-effectively.

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A Holistic Approach to Govern Data

TDAN

The concept of being holistic embraces a comprehensive and interconnected view of various aspects of life, considering them as a whole rather than isolated parts. The concept of being holistic emphasizes the understanding that everything in our existence is connected and interdependent, influencing and being influenced by one another.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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Set up advanced rules to validate quality of multiple datasets with AWS Glue Data Quality

AWS Big Data

Data is the lifeblood of modern businesses. In today’s data-driven world, companies rely on data to make informed decisions, gain a competitive edge, and provide exceptional customer experiences. However, not all data is created equal. Poor-quality data can lead to incorrect insights, bad decisions, and lost opportunities. AWS Glue Data Quality measures and monitors the quality of your dataset.

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Enabling Enterprise Responsible AI: Announcing Domino Model Sentry

Domino Data Lab

Artificial intelligence technology is spreading rapidly across the economy. New use cases drive innovative new products, optimize processes and make money. Yet with AI's great power, organizations must still mitigate risk and behave responsibly.

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How SumUp made digital analytics more accessible using AWS Glue

AWS Big Data

This is a guest blog post by Mira Daniels and Sean Whitfield from SumUp. SumUp is a leading global financial technology company driven by the purpose of leveling the playing field for small businesses. Founded in 2012, SumUp is the financial partner for more than 4 million small merchants in over 35 markets worldwide, helping them start, run and grow their business.

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Is Vision Pro the TV Set Apple Never Made?

Mark Raskino

How many times have you seen a plumber, electrician or mechanic whip out their phone to use its LED light to peer into a dark space? A smartphone is massively over engineered as a flashlight – and yet that is a very common use. Commentary on this weeks announcement about Apple’s Vision Pro has tended to focus on all the advanced possibilities like immersive 3D home videos and overlaid mixed reality.

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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.