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What is OpenAI’s Sora Diffusion Transformer (DiT)?

Analytics Vidhya

Introduction OpenAI Sora is back and making waves with its first-ever commissioned music video, “Washed Out – The Hardest Part” This mind-blowing creation was stitched together from 55 individual clips, each generated by Sora itself. Sounds almost too good to be true, right? Well, believe it! Back in February 2024, OpenAI’s Sora took the world […] The post What is OpenAI’s Sora Diffusion Transformer (DiT)?

Analytics 264
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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

Risk 221
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Finetuning Llama 3 with Odds Ratio Preference Optimization

Analytics Vidhya

Introduction Large Language Models are often trained rather than built, requiring multiple steps to perform well. These steps, including Supervised Fine Tuning (SFT) and Preference Alignment, are crucial for learning new things and aligning with human responses. However, each step takes a significant amount of time and computing resources. One solution is the Odd Ratio […] The post Finetuning Llama 3 with Odds Ratio Preference Optimization appeared first on Analytics Vidhya.

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UPS delivers customer wins with generative AI

CIO Business Intelligence

United Parcel Service last year turned to generative AI to help streamline its customer service operations. The in-house developed project, Message Response Automation (MeRA), is already delivering. MeRA, which was initiated last July and went into beta testing in October, leverages publicly available large language models (LLMs) to automate the handling of some customer issues, providing consistent messaging and significant improvement of agent efficiency, aka handle time, according to the mult

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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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5 Simple Steps to Automate Data Cleaning with Python

KDnuggets

Automate your data cleaning process with a practical 5-step pipeline in Python, ideal for beginners.

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How Fujitsu implemented a global data mesh architecture and democratized data

AWS Big Data

This is a guest post co-authored with Kanehito Miyake, Engineer at Fujitsu Japan. Fujitsu Limited was established in Japan in 1935. Currently, we have approximately 120,000 employees worldwide (as of March 2023), including group companies. We develop business in various regions around the world, starting with Japan, and provide digital services globally.

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Chart Snapshot: Radar Box Plots

The Data Visualisation Catalogue

The Radar Box Plot is a visualisation developed by Caio Hamamura, which combines the Radar Chart with the Box Plot. This combination enables the comparison of multivariate data across multiple classes or clusters simultaneously. This visualisation uses radar polygons that can be compared based on their shape and thickness, providing insights into data variability and similarities among classes or clusters.

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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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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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Introducing Amazon Q data integration in AWS Glue

AWS Big Data

Today, we’re excited to announce general availability of Amazon Q data integration in AWS Glue. Amazon Q data integration, a new generative AI-powered capability of Amazon Q Developer , enables you to build data integration pipelines using natural language. This reduces the time and effort you need to learn, build, and run data integration jobs using AWS Glue data integration engines.

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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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AI on the Go: Anthropic Launches Claude Mobile App

Analytics Vidhya

San Francisco-based AI company Anthropic is making waves with the launch of its first smartphone app, bringing Claude to mobiles. This move positions Anthropic as a serious contender in the AI game, going head-to-head with industry giants like OpenAI and Google. The new iPhone app caters to both free and paid Claude users. It seamlessly […] The post AI on the Go: Anthropic Launches Claude Mobile App appeared first on Analytics Vidhya.

Analytics 318
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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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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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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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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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Revolutionizing data querying: Amazon Redshift and Visual Studio Code integration

AWS Big Data

In today’s data-driven landscape, the efficiency and accessibility of querying tools play a crucial role in driving businesses forward. Amazon Redshift recently announced integration with Visual Studio Code (), an action that transforms the way data practitioners engage with Amazon Redshift and reshapes your interactions and practices in data management.

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Amazon Launches Generative AI-powered Assistant Amazon Q

Analytics Vidhya

Amazon Web Services (AWS) has created yet another wave in artificial intelligence (AI) with its new generative AI-powered assistant, Amazon Q. This new AI tool is launched in three variations – Q Developer, Q Business, and Q Apps – catering to the varied needs of businesses, developers, and app builders. Together, they aim to revolutionize […] The post Amazon Launches Generative AI-powered Assistant Amazon Q appeared first on Analytics Vidhya.

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Digital + Data/AI Transformation: Parallels and Pitfalls

Dataiku

Digital transformation exists to change (fundamentally, rather than at a surface level) how a business operates. Though enabled by technology, delivering technology projects is not the point; the business is being changed to better respond to customer and employee needs. This separates it from “digitization,” which is merely running the same old processes with (hopefully) more efficient technology.

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The cyber pandemic: AI deepfakes and the future of security and identity verification

CIO Business Intelligence

Security and risk management pros have a lot keeping them up at night. The era of AI deepfakes is fully upon us, and unfortunately, today’s identity verification and security methods won’t survive. In fact, Gartner estimates that by 2026, nearly one-third of enterprises will consider identity verification and authentication solutions unreliable due to AI-generated deepfakes.

Strategy 103
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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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Data Science Degrees vs. Courses: The Value Verdict

KDnuggets

Exploring the merits of data science degrees vs courses, this analysis contrasts their depth, prestige, and practicality in job market preparation

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Dive deep into security management: The Data on EKS Platform

AWS Big Data

The construction of big data applications based on open source software has become increasingly uncomplicated since the advent of projects like Data on EKS , an open source project from AWS to provide blueprints for building data and machine learning (ML) applications on Amazon Elastic Kubernetes Service (Amazon EKS). In the realm of big data, securing data on cloud applications is crucial.

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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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AI-Powered Analytics: Unveiling Hidden Insights in Point-of-Sale Data

Smart Data Collective

AI technology can help sales people make the most of POS systems, which helps them reach their goals more easily.

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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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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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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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Detect and handle data skew on AWS Glue

AWS Big Data

AWS Glue is a fully managed, serverless data integration service provided by Amazon Web Services (AWS) that uses Apache Spark as one of its backend processing engines (as of this writing, you can use Python Shell , Spark , or Ray ). Data skew occurs when the data being processed is not evenly distributed across the Spark cluster, causing some tasks to take significantly longer to complete than others.

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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.

Analytics 323
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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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New Startup Uses AI to Help Forex Traders Make Better Insights

Smart Data Collective

AI has led to some major changes in the financial sector. There are many ways that financial professionals are using AI which includes with algorithmic trading as we stated in this article. One of the many ways that AI is changing finance is by revolutionizing forex trading.

Finance 63
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Google spurs US to ease immigration rules for tech talent

CIO Business Intelligence

In a plea for hiring relief, Google has sent the US Department of Labor an urgent appeal to amend US immigration laws to ease the hiring of foreign IT workers. On May 1, the tech titan submitted a lengthy response to the department’s request for information on modernizing Schedule A, a little-known immigration rule that fast-tracks the hiring of foreign workers in occupations facing pre-certified shortages in the US.

Marketing 112
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Containerize Python Apps with Docker in 5 Easy Steps

KDnuggets

Get up and running with Docker with this tutorial on containerizing Python applications.

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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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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.