Trending Articles

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Beyond Sora: Exploring Vidu AI’s Capabilities in Text-to-Video Creation

Analytics Vidhya

Introduction The world of content creation is undergoing a remarkable transformation with the emergence of artificial intelligence. Text-to-video generation, a technology that allows users to create videos from simple text descriptions, is at the forefront of this revolution. Until recently, generating high-quality videos required significant time, resources, and expertise.

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To understand the risks posed by AI, follow the money

O'Reilly on Data

By Rufus Rock , UCL ; Tim O’Reilly , UCL ; Ilan Strauss , UCL ; and Mariana Mazzucato , UCL This article is republished from The Conversation under a Creative Commons license. Time and again, leading scientists, technologists, and philosophers have made spectacularly terrible guesses about the direction of innovation. Even Einstein was not immune, claiming, “There is not the slightest indication that nuclear energy will ever be obtainable,” just ten years before Enrico Fermi completed cons

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The new CIO mandate: Selling AI to employees

CIO Business Intelligence

As organizations roll out AI applications and AI-enabled smartphones and devices, IT leaders may need to sell the benefits to employees or risk those investments falling short of business expectations. That’s because employees have decidedly mixed feelings about AI coming to their workplaces, according to the recent survey by IT solutions integrator Insight , even as many enterprises are already adopting or experimenting with AI and as AI-enabled phones begin hitting the market.

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A Starter Guide to Data Structures for AI and Machine Learning

KDnuggets

This article is an overview of a particular subset of data structures useful in machine learning and AI development, along with explanations and example implementations.

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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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Chart Snapshot: Functional Box Plots

The Data Visualisation Catalogue

A Functional Box Plot is a visualisation used to explore and analyse functional data , which are data that can be represented as curves or surfaces. While this visualisation technique is a variation of the classic Box Plot , a Functional Box Plot is visually very different and instead plots a combination of lines and areas to communicate the various data ranges.

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Decoding the Data Landscape: Dr. Kiran R on Data Science & Innovation

Analytics Vidhya

In this episode of Leading with Data, we’re joined by Dr. Kiran R, a distinguished leader in Applied ML and Data Science, who shares insights from his extensive experience at Microsoft, VMware, and beyond. With a Ph.D. from IIM Lucknow and an MBA from IIM Kozhikode, Dr. Kiran has led high-impact teams, earning accolades such […] The post Decoding the Data Landscape: Dr.

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5 things CIOs must understand about AI infrastructure

CIO Business Intelligence

Generative AI has captured everyone’s attention — and for good reason. But getting from potential to profitability does not come without risks, such as assuming that your established processes for deploying mainstream enterprise IT infrastructure will work in the new era of complex AI superclusters. A solid technology infrastructure has always been essential.

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Is Data Science a Bubble Waiting to Burst?

KDnuggets

The need for data science has not decreased or been replaced; instead, it’s the field of data science maturing, with a greater demand for specialized skills and practical experience.

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Commerce strategy: Ecommerce is dead, long live ecommerce

IBM Big Data Hub

In today’s dynamic and uncertain landscape, commerce strategy—what we might formerly have referred to as ecommerce strategy—is so much more than it once was. Commerce is a complex journey in which the moment of truth—conversion—takes place. This reality means that every brand in every industry with every business model needs to optimize the commerce experience, and thus the customer experience , to drive conversion rates and revenues.

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Check Out This New Robot that Does Household Chores with Precision

Analytics Vidhya

China’s robotics industry has just marked an impressive leap with the unveiling of a new humanoid robot, Astribot S1. The fully autonomous robot, developed by Stardust Intelligence, redefines the benchmarks of speed, precision, and functionality. Let’s explore how this AI-driven marvel would reshape various sectors with its remarkably human-like capabilities.

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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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#ClouderaLife Allyship April Q&A with Antoine Burrell

Cloudera

This month is Allyship April—a time dedicated to deepening our understanding of allyship and its profound impact on fostering inclusive cultures. Allyship isn’t merely a buzzword; it’s a fundamental commitment to actively support and advocate for marginalized individuals and communities within our organization. This month, we’ve engaged in meaningful conversations, challenged our assumptions, and committed to tangible actions that drive positive change.

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Data protection activists accuse ChatGPT of GDPR breach

CIO Business Intelligence

European privacy rights group noyb filed a complaint against OpenAI with the Austrian Data Protection Authority on Monday, accusing the company of breaching the European Union’s General Data Protection Regulation (GDPR). The EU’s strict privacy rules require that companies allow individuals access to personal information held about them, as well as ensuring that such data is accurate.

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7 Python Libraries Every Data Engineer Should Know

KDnuggets

Interested in switching to data engineering? Here’s a list of Python libraries you’ll find super helpful.

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VeloxCon 2024: Innovation in data management

IBM Big Data Hub

VeloxCon 2024 , the premier developer conference that is dedicated to the Velox open-source project, brought together industry leaders, engineers, and enthusiasts to explore the latest advancements and collaborative efforts shaping the future of data management. Hosted by IBM® in partnership with Meta, VeloxCon showcased the latest innovation in Velox including project roadmap, Prestissimo (Presto-on-Velox), Gluten (Spark-on-Velox), hardware acceleration, and much more.

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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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Is GPT2-Chatbot Actually GPT-5?

Analytics Vidhya

Since this weekend, everyone in the tech world has been buzzing about this new AI called ‘GPT2-Chatbot’ It just popped up out of nowhere, without any announcements or official documentation, naturally intriguing researchers and fans. There have even been speculations that it may be a pre-release of OpenAI’s much-awaited GPT-5. While people are trying to […] The post Is GPT2-Chatbot Actually GPT-5?

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Orchestrate an end-to-end ETL pipeline using Amazon S3, AWS Glue, and Amazon Redshift Serverless with Amazon MWAA

AWS Big Data

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed orchestration service for Apache Airflow that you can use to set up and operate data pipelines in the cloud at scale. Apache Airflow is an open source tool used to programmatically author, schedule, and monitor sequences of processes and tasks, referred to as workflows. With Amazon MWAA, you can use Apache Airflow and Python to create workflows without having to manage the underlying infrastructure for scalability, availabili

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Top 10 barriers to strategic IT success

CIO Business Intelligence

To Carm Taglienti, the explosion of all things AI over the past few years has been both a pro and a con to IT teams. On the one hand, artificial intelligence has helped both technology departments and the business units to work better, faster, and cheaper. But on the other hand, AI and generative AI in particular, as well as the speed at which intelligence barreled its way into organizations, have disrupted many IT plans, says Taglienti, chief data officer and distinguished engineer at tech firm

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5 MLOps Courses from Google to Level Up Your ML Workflow

KDnuggets

Want to build and deploy robust machine learning systems to production? Start learning MLOps today with these courses from Google.

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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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How generative AI will revolutionize supply chain 

IBM Big Data Hub

Unlocking the full potential of supply chain management has long been a goal for businesses that seek efficiency, resilience and sustainability. In the age of digital transformation, the integration of advanced technologies like generative artificial intelligence brings a new era of innovation and optimization. AI tools help users address queries and resolve alerts by using supply chain data, and natural language processing helps analysts access inventory, order and shipment data for decision-ma

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ChatGPT’s New ‘Memory’ Feature Enhances Personalized Interactions

Analytics Vidhya

OpenAI has added a new ‘Memory’ feature for ChatGPT Plus subscribers. It allows the AI-powered chatbot to remember and utilize personalized information shared during conversations. This enhancement aims to streamline personalized interactions and improve the overall experience of using ChatGPT. Also Read: Open AI’s ChatGPT Announced a New Feature: Image Editing Understanding ChatGPT’s Memory Feature […] The post ChatGPT’s New ‘Memory’ Feature Enhances Personalized Interac

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Taking the Wheel Back With Dataiku's Model Override Feature

Dataiku

In one of the flagship episodes of the 1980s series Knight Rider, the autonomous car KITT became uncontrollable, behaving erratically. The disaster was averted when Michael Knight finally regained control of KITT thanks to the manual override feature.

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The Java migration imperative: Why your business should upgrade now

CIO Business Intelligence

Applications are the backbone of modern business. And when it comes to building enterprise applications, Java has made a name for itself as the Swiss Army Knife of programming languages. Its “write once, run anywhere” philosophy has driven widespread adoption and established the platform as the backbone of enterprise applications. In fact, 50% of today’s enterprise apps are Java-based – meaning most of today’s businesses rely on Java in some shape or form.

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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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Avoid These 5 Common Mistakes Every Novice in AI Makes

KDnuggets

Top five mistakes made by AI beginners and practical tips to avoid them, along with an engaging "50-Day Challenge" that you cannot afford to miss.

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AI transforms the IT support experience

IBM Big Data Hub

We know that understanding clients’ technical issues is paramount for delivering effective support service. Enterprises demand prompt and accurate solutions to their technical issues, requiring support teams to possess deep technical knowledge and communicate action plans clearly. Product-embedded or online support tools, such as virtual assistants, can drive more informed and efficient support interactions with client self-service.

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Google Launches Gecko Redefining Text Embedding Models

Analytics Vidhya

Google’s latest breakthrough in natural language processing (NLP), called Gecko, has been gaining a lot of interest since its launch. Unlike traditional text embedding models, Gecko takes a whole new approach by distilling knowledge from large language models (LLMs). Let’s learn more about how this AI model was developed and what it means for the […] The post Google Launches Gecko Redefining Text Embedding Models appeared first on Analytics Vidhya.

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How to Build Tailored Enterprise Chatbots at Scale

Dataiku

Today, every company should be using Generative AI capabilities to complement machine learning techniques, streamline operations, and ultimately work smarter. Chat-based use cases will quickly become the new normal. That means increasingly more demand from the business to develop and deploy these use cases enterprise-wide.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.

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Get Ready for FutureIT Boston With This AI Infographic

CIO Business Intelligence

IT decision-makers know that generative AI is the most disruptive technology in decades and are budgeting accordingly. IDC has forecast that spending on AI solutions will grow 27% per year to $423 billion by 2027. Check out the infographic below for AI adoption predictions, including tips for staying prepared. foundry IDC’s Maureen Fleming will discuss AI adoption predictions at FutureIT Boston 2024 on May 14.

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Free Python Resources That Can Help You Become a Pro

KDnuggets

This is a collection of free courses, books, projects, repositories, cheat sheets, and online compilers on Python to help you get started and gain experience.

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Data Speaks for Itself: Is Metadata Data?

TDAN

Well, of course, metadata is data. Our standard definition explicitly says that metadata is data describing other data. So why would I even ask this question in the article title?

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Best Python Tricks in Jupyter Notebook

Analytics Vidhya

Introduction Python is a popular programming language for its simplicity and readability. When it is combined with Jupyter Notebook, it offers interactive experimentation, documentation of code and data. This article discusses Python tricks in Jupyter Notebook to enhance coding experience, productivity, and understanding. Keyboard shortcuts, magic commands, interactive widgets, and visualization tools can streamline workflow […] The post Best Python Tricks in Jupyter Notebook appeared firs

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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.