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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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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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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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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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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format. To better understand the factors behind the decision to build or buy analytics, insightsoftware partnered with Hanover Research to survey IT, software development, and analytics professionals on why they make the embedded analytics choices they do.

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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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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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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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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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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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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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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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6 steps the manufacturer of Arm & Hammer and OxiClean took to harden OT cybersecurity

CIO Business Intelligence

The threat of cyberattack has never been higher, and nearly nine in 10 (88%) of security leaders believe their organization is not meeting the challenge of addressing security risks, according to the Foundry Security Priorities Study 2023. Manufacturing, in particular, is facing significant threats, with ransomware accounting for almost one-quarter of attacks (24%), according to Verizon’s 2023 Data Breach Investigations Report – Manufacturing Snapshot.

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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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Data privacy examples

IBM Big Data Hub

An online retailer always gets users’ explicit consent before sharing customer data with its partners. A navigation app anonymizes activity data before analyzing it for travel trends. A school asks parents to verify their identities before giving out student information. These are just some examples of how organizations support data privacy , the principle that people should have control of their personal data, including who can see it, who can collect it, and how it can be used.

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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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Top 6 AI Logo Generators for Small Businesses in 2024

Analytics Vidhya

Introduction With the development of AI in 2024, small businesses can now affordably and quickly produce logos of superior quality. Customized logos are created by these technologies based on user preferences and brand identity using AI and machine learning algorithms. Small companies may now design distinctive and polished logos that make an impression on their […] The post Top 6 AI Logo Generators for Small Businesses in 2024 appeared first on Analytics Vidhya.

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Run interactive workloads on Amazon EMR Serverless from Amazon EMR Studio

AWS Big Data

Starting from release 6.14, Amazon EMR Studio supports interactive analytics on Amazon EMR Serverless. You can now use EMR Serverless applications as the compute, in addition to Amazon EMR on EC2 clusters and Amazon EMR on EKS virtual clusters, to run JupyterLab notebooks from EMR Studio Workspaces. EMR Studio is an integrated development environment (IDE) that makes it straightforward for data scientists and data engineers to develop, visualize, and debug analytics applications written in PySpa

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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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7 End-to-End MLOps Platforms You Must Try in 2024

KDnuggets

List of top MLOPs platforms that will help you with integration, training, tracking, deployment, monitoring, CI/CD, and optimizing the infrastructure.

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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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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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GitHub Unveils Copilot Workspace: A New Era in Developer Tools

Analytics Vidhya

GitHub has introduced its revolutionary AI-driven developer environment, the Copilot Workspace. This new platform, aimed at transforming the process of software creation, has sent ripples through the developer community. Building upon the success of GitHub Copilot, this innovative platform promises to redefine the developer experience. Let’s delve deeper into the features of the Copilot Workspace […] The post GitHub Unveils Copilot Workspace: A New Era in Developer Tools appeared fir

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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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What IT leaders need to know about the EU AI Act

CIO Business Intelligence

The European Parliament voted in mid-March to approve the EU AI Act , the world’s first major piece of legislation that would regulate the use and deployment of artificial intelligence applications. The vote isn’t the final passage, but it indicates that many CIOs at organizations using AI tools will have new regulations to comply with, as the law will apply both to organizations developing AIs and those simply deploying them.

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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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Free Google Cloud Learning Path for Gemini

KDnuggets

Find out all about Google Cloud's latest learning path, and learn how to use the Gemini language model in the Google Cloud.

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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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Vidu is Sora’s Latest Competition in AI Video Generation

Analytics Vidhya

A novel text-to-video AI model, named Vidu, has made its debut at the 2024 Zhongguancun Forum in Beijing. Developed jointly by ShengShu-AI and Tsinghua University, this new model challenges the dominance of OpenAI’s Sora. Let’s explore the features of Vidu and find out what it means for generative AI technologies in China. Also Read: Sora’s […] The post Vidu is Sora’s Latest Competition in AI Video Generation appeared first on Analytics Vidhya.

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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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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.

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AI is set to transform hiring requirements: Report

CIO Business Intelligence

The adoption of AI is creating a tectonic shift in the skills requirement and thereby the hiring needs for companies, according to a report by EY. According to a poll conducted by EY in March with over 250 industry leaders, half of the participants expect a trend of simultaneous layoffs and hiring as companies grapple with the evolving skillsets required in the AI era.

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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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I Have GCP, Why Do I Need Dataiku?

Dataiku

Data and AI efforts are crucial in businesses seeking powerful value-generating insights. Google Cloud Platform (GCP) is a powerful cloud platform that empowers expert data teams with data and AI services like BigQuery or Gemini. As AI and Generative AI (GenAI) grow in importance, it is important that business professionals also have the tools and oversight necessary to use data in their daily work effectively.

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How to Transition your Career from Non Tech Field to Generative AI?

Analytics Vidhya

Introduction In today’s rapidly evolving world, the term ‘Generative AI’ is on everyone’s lips. Studies reveal that Generative AI is becoming indispensable in the workplace, with the market projected to reach $1.3 trillion by 2032. If you’ve been considering a career transition from a non-tech field to Generative AI, now is the time!

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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.