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Meet Victoria Shi, the World’s First AI-Generated Foreign Minister

Analytics Vidhya

Ukraine has embarked on a pioneering venture by introducing the world’s first ‘AI diplomat’. The country has developed an artificial intelligence (AI) generated spokesperson to be the face and voice of their Ministry of Foreign Affairs. The AI, named Victoria Shi, has been launched to announce updates on various fronts, on behalf of the Ukrainian […] The post Meet Victoria Shi, the World’s First AI-Generated Foreign Minister appeared first on Analytics Vidhya.

Analytics 249
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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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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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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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Meet India’s ChatGPT Rival – Hanooman GPT is Here!

Analytics Vidhya

Introduction It’s not Tuesday, but it’s still a Hanooman’s day. Finally, the SML-powered Hanooman GPT is here! India now has its own indigenous alternative to OpenAI’s viral ChatGPT model. Hanooman GPT is a series of open-source Indic large language models developed by the Indian Institute of Technology (IIT) Bombay in partnership with healthcare AI firm […] The post Meet India’s ChatGPT Rival – Hanooman GPT is Here!

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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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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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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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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.

IT 82
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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.

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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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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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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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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 310
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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.

IT 72
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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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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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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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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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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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Coaching your IT team for change: 9 tips

CIO Business Intelligence

When a necessary change hits your IT team, getting everyone to buy in and adapt is key — and challenging. Some team members will, by nature, fight any change. Even those once adaptable may have become change resistant due to years of near-constant turbulence. One Gartner study found that willingness to support organizational change dropped from 74% of employees in 2016 to just 43% in 2022.

IT 107
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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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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.

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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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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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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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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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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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Stay Ahead of the Curve for GenAI Regulation in FSI

Dataiku

What are the specific implications of the EU AI Act for financial services firms? How can they get ahead of the curve for Generative AI regulation?

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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.