Sat.Oct 21, 2023 - Fri.Oct 27, 2023

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What Impact Will Ethical AI Have on the Future of Data Science?

insideBIGDATA

In this contributed article, April Miller, senior IT and cybersecurity writer for ReHack Magazine, believes that as people continue exploring ways to use AI in modern society, there’s an increasing concern about ensuring all the current, potential and future applications operate ethically. Many professionals have devoted themselves to furthering ethical AI principles by developing guidelines, best practices and other resources for the industry at large to use.

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Introducing Llama 2: Six methods to access the open-source large language model

Data Science Dojo

In this blog, we will be getting started with the Llama 2 open-source large language model. We will guide you through various methods of accessing it, ensuring that by the end, you will be well-equipped to unlock the power of this remarkable language model for your projects. Whether you are a developer, researcher, or simply curious about its capabilities, this blog will equip you with the knowledge and tools you need to get started.

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5 Free Books to Master Machine Learning

KDnuggets

Machine Learning is one of the most exciting fields in computer science today. In this article, we will take a look at the five best yet free books to learn machine learning in 2023.

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Empower Multiple Websites with Langchain’s Chatbot Solution

Analytics Vidhya

Introduction In the revolutionary era of AI, conversational agents or chatbots have emerged as pivotal tools for engaging users, assisting, and enhancing user experience across various digital platforms. Chatbots powered by advanced AI techniques enable automated and interactive conversations that resemble human interactions. With the launch of ChatGPT, the ability to answer user queries has […] The post Empower Multiple Websites with Langchain’s Chatbot Solution appeared first on An

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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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Generative AI: Redefining the Economics of Software Development

insideBIGDATA

Generative AI technology offers a wide range of vertical use cases for software companies, high-tech firms, ISVs, and DNBs to meet efficiency demands and expedite workflows. In fact, a new research study, "Generative AI: Redefining the Economics of Software Development," from our friends at SoftServe shows Open AI’s Generative AI can increase productivity for development teams across the SDLC (software development life cycle) by up to 45%.

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Generative AI, a threat, or a leading step towards success for you

Data Science Dojo

In this blog post, we will explore the potential benefits of generative AI for jobs. We will discuss how it will help to improve productivity, creativity, and problem-solving. We will also discuss how it can create new opportunities for workers. Generative AI is a type of AI that can create new content, such as text, images, and music. It’s still under development, but it has the potential to revolutionize many industries.

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How to Optimize Revenues Using Dynamic Pricing?

Analytics Vidhya

Introduction Uber/Ola peak hour prices are higher than regular fares. In IRCTC, Rajdhani prices increase are booking rate increases, and in Amazon, prices for the exact product change multiple times. Who decides when to change these prices or to what extent? Who decides the right price at the right time? The answers to these questions […] The post How to Optimize Revenues Using Dynamic Pricing?

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Heard on the Street – 10/26/2023

insideBIGDATA

Welcome to insideBIGDATA’s “Heard on the Street” round-up column! In this regular feature, we highlight thought-leadership commentaries from members of the big data ecosystem. Each edition covers the trends of the day with compelling perspectives that can provide important insights to give you a competitive advantage in the marketplace.

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Top 10 YouTube videos to learn large language models

Data Science Dojo

If you’re interested to learn large language models (LLMs), you’re in the right place. LLMs are all the rage these days, and for good reason. They’re incredibly powerful tools that can be used to do a wide range of things, from generating text to translating languages to writing code. LLMs can be used to build a variety of applications, such as chatbots, virtual assistants, and translation tools.

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KDnuggets News, October 27: 5 Free Books to Master Data Science • 7 Steps to Mastering LLMs

KDnuggets

This week on KDnuggets: Go from learning what large language models are to building and deploying LLM apps in 7 steps • Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning • And much, much more!

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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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The Power of Advanced Encoders and Decoders in Generative AI

Analytics Vidhya

Introduction In the dynamic realm of Artificial Intelligence, the fusion of technology and creativity has birthed innovative tools that push the boundaries of human imagination. Among these pioneering advancements lies the sophisticated world of Encoders and Decoders in Generative AI. This evolution revolutionises how we create, interpret, and interact with art, language, and even reality. […] The post The Power of Advanced Encoders and Decoders in Generative AI appeared first on Analytics

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Generative AI Highlights the Need for Identity Verification

insideBIGDATA

In this contributed article, Mark Lieberwitz, Co-Founder & CPO of KarmaCheck, takes a look at how verified identities help restore trust in digital content, combat the erosion of trust caused by generative AI, and prevent the dissemination of false narratives. Implementing identity verification must be accompanied by robust privacy measures and industry-wide collaboration to protect user data and establish consistent standards.

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How to Read and Display Videos Using OpenCV

Machine Learning Mastery

Digital videos are close relatives of digital images because they are, indeed, made up of many digital images that are sequentially displayed in rapid succession to create the effect of moving visual data. The OpenCV library provides several methods to work with videos, such as reading video data from different sources as well as accessing […] The post How to Read and Display Videos Using OpenCV appeared first on MachineLearningMastery.com.

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Greening AI: 7 Strategies to Make Applications More Sustainable

KDnuggets

The article delves into a comprehensive methodology that sheds light on how to accurately estimate the carbon footprint associated with AI applications. It explains the environmental impact of AI, a crucial consideration in today's world.

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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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Doctran and LLMs: A Powerful Duo for Analyzing Consumer Complaints

Analytics Vidhya

Introduction In today’s highly competitive market, businesses strive to understand and resolve consumer complaints effectively. Consumer complaints can shed light on a wide range of issues from product defects and poor customer service to billing errors and safety concerns. They play a crucial role in the feedback (regarding products, services, or experiences) loop between businesses […] The post Doctran and LLMs: A Powerful Duo for Analyzing Consumer Complaints appeared first on Ana

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Achieving Faster Time To Insights with Modern Data Pipelines

insideBIGDATA

In this sponsored post, Devika Garg, PhD, Senior Solutions Marketing Manager for Analytics at Pure Storage, believes that in the current era of data-driven transformation, IT leaders must embrace complexity by simplifying their analytics and data footprint. Data pipelines allow IT leaders to optimize data and maximize value for faster analytic insights.

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Introducing Predictive Optimization: Faster Queries, Cheaper Storage, No Sweat

databricks

Predictive Optimization intelligently optimizes your Lakehouse table data layouts for peak performance and cost-efficiency - without you needing to lift a finger.

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Generative AI: The First Draft, Not Final

KDnuggets

This article gives a high-level overview of how LLMs work and their attendant limitations with accessible explanations and anecdotes throughout the piece. We also present advice on how people can introduce them into their workflows.

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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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Explainable AI: Demystifying the Black Box Models

Analytics Vidhya

Introduction In today’s data-driven world, machine learning is playing an increasingly prominent role in various industries. Explainable AI aims to make machine learning models more transparent to clients, patients, or loan applicants, helping build trust and social acceptance of these systems. Now, different models require different explanation methods, depending on the audience.

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insideBIGDATA Latest News – 10/23/2023

insideBIGDATA

In this regular column, we’ll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we’re in close touch with vendors from this vast ecosystem, so we’re in a unique position to inform you about all that’s new and exciting.

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Learn How to Build Airtight Data Pipelines for your AI Initiatives

databricks

"I can't think of anything that's been more powerful since the desktop computer." — Michael Carbin, Associate Professor, MIT, and Founding Advisor, MosaicML A.

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Windows on Snapdragon Brings Hybrid AI to Apps at the Edge

KDnuggets

Let’s take a closer look at Hybrid AI, how you can take advantage of it, and how Snapdragon brings hybrid AI to apps at the edge.

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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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The Impact of Large Language Models on Medical Text Analysis

Analytics Vidhya

Introduction In a world undergoing a technological revolution, the fusion of artificial intelligence and healthcare is reshaping the landscape of medical diagnosis and treatment. One of the silent heroes behind this transformation is the application of Large Language Models (LLMs) in the field of medical , health domain and mainly in text analysis. This article […] The post The Impact of Large Language Models on Medical Text Analysis appeared first on Analytics Vidhya.

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Borderless Data – Acting Locally, Thinking Globally

insideBIGDATA

In this contributed article, Alasdair Anderson, VP EMEA, Protegrity, discusses the challenges facing data and technology leaders and role automation plays in ensuring compliance. Giving organizations the speed and adaptability so vital in today’s digital economy.

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Microsoft’s Security Copilot AI goes early access, welcome ChatGPT of cybersecurity

Dataconomy

Quick take: Microsoft has launched its AI-driven Security Copilot, a tool designed to accelerate cybersecurity responses and investigations. Core insight: Security Copilot AI, Microsoft’s new innovation, acts as a vital assistant for security teams by offering real-time malware analysis, instant security incident summaries, and the ability to detect unnoticed threats, all while integrating with the 365 Defender XDR platform, thus marking a significant advancement in the realm of cybersecur

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10 Basic Statistical Concepts in Plain English

KDnuggets

Explore 10 foundational statistical concepts made simple, from probability distributions to the central limit theorem, for better data understanding.

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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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How to Build a Multi-Modal Search App with Chroma?

Analytics Vidhya

Introduction Have you ever wondered how our intricate brains process the world? While the brain’s inner workings remain a mystery, we can liken it to a versatile neural network. Thanks to electrochemical signals, it handles various data types – audio, visuals, smells, tastes, and touch. As AI advances, multi-modal models emerge, revolutionizing search capabilities.

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Life After “Calvin and Hobbes”

Hacker News

Bill Watterson’s return to print, after nearly three decades, comes in the form of a fable called “The Mysteries,” which shares with his famous comic strip a sense of enchantment.

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Is Nightshade AI the savior of artistic integrity in the age of AI?

Dataconomy

Discover Nightshade AI: The artist’s shield against AI encroachment. Can protecting creativity in the digital age be possible? Let’s find out! Art has always been a powerful expression of human creativity and ingenuity, a canvas on which artists pour their souls to share stories, emotions, and visions. But in the digital age, the lines between art and artificial intelligence are becoming increasingly blurred, with AI models generating images and content based on massive datasets.

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Overview of PEFT: State-of-the-art Parameter-Efficient Fine-Tuning

KDnuggets

Learn how Parameter-Efficient Fine-Tuning techniques like LoRA enable efficient adaptation of large language models using limited compute resources.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.