Mon.Apr 01, 2024

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The Psychology of Data Visualization: How to Present Data that Persuades

KDnuggets

This article discusses the psychology of data visualization, including the principles and techniques that underpin the creation of persuasive and effective visuals.

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any() and all() in Python with Examples

Analytics Vidhya

Introduction Mastering any() and all() functions in Python is essential for efficiently handling collections such as lists and tuples. These functions provide a swift means to assess whether elements within a collection satisfy specific conditions, leading to neater and more streamlined code. Leveraging these tools can greatly ease the decision-making process within your code by […] The post any() and all() in Python with Examples appeared first on Analytics Vidhya.

Analytics 314
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Avoid generative AI malaise to innovate and build business value

CIO Business Intelligence

Despite the promise generative AI holds for boosting corporate productivity, closing the gap between its potential and business value remains one of CIOs’ chief challenges. It isn’t for lack of effort, as recent research suggests. Sixty-six percent of C-level executives are ambivalent or dissatisfied with the progress of their AI or GenAI efforts, according to Boston Consulting Group 1.

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Difference Between == and is Operator in Python

Analytics Vidhya

Introduction In Python, the == and is operators are often used for comparison by programmers. Although they might seem similar at first glance, they are understood to operate differently, and their differences are considered important for anyone coding in Python to grasp. We will discuss in this article how each of these operators function and […] The post Difference Between == and is Operator in Python appeared first on Analytics Vidhya.

Analytics 306
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Beyond the Basics of A/B Tests: Innovative Experimentation Tactics You Need to Know as a Data or Product Professional

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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8 strategies for accelerating IT modernization

CIO Business Intelligence

New tech moves from bleeding edge to mainstream at an ever-increasing pace. Consider how fast generative AI went from avant-garde to ubiquity: At under two years, it may be a record. Feats like that have ramped up pressure on CIOs to not just modernize, but modernize faster so they’re ready to seize new opportunities as they arise by having infrastructure that can support emerging technologies and a team that isn’t mired in maintenance mode.

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Meet EVI: The World’s First Emotionally Intelligent AI Chatbot

Analytics Vidhya

Hume AI, a New York-based startup, has made waves with the introduction of its advanced voice AI equipped with emotional intelligence. Founded by Alan Cowen, a former Google DeepMind researcher, the company has secured significant funding for the project. Hume AI plans to revolutionize human-computer interaction with the launch of the Empathic Voice Interface (EVI) […] The post Meet EVI: The World’s First Emotionally Intelligent AI Chatbot appeared first on Analytics Vidhya.

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Anomaly Detection Using PCA: Unveiling Insights in Data Anomalies

Analytics Vidhya

Introduction Since anomaly detection can spot trends or departures from expected behavior in data, it is an essential tool in many industries, such as banking, cybersecurity, and healthcare. Principal Component Analysis (PCA) is an effective technique for detecting anomalies concealed in datasets, among the many other anomaly detection techniques available.

Analytics 305
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5 AI Courses From Google to Advance Your Career

KDnuggets

Start your AI journey today with these courses from Google.

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A Hands-On Guide to Creating a PDF-based Q&A Assistant with Llama2 and LlamaIndex

Analytics Vidhya

Introduction The advent of AI and machine learning has revolutionized how we interact with information, making it easier to retrieve, understand, and utilize. In this hands-on guide, we explore creating a sophisticated Q&A assistant powered by LLamA2 and LLamAIndex, leveraging state-of-the-art language models and indexing frameworks to navigate a sea of PDF documents effortlessly.

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Using generative AI to accelerate product innovation

IBM Big Data Hub

Generative artificial intelligence (GenAI) can be a powerful tool for driving product innovation, if used in the right ways. We’ll discuss select high-impact product use cases that demonstrate the potential of AI to revolutionize the way we develop, market and deliver products to customers. Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level. 1.

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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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US Govt Office Bans Use Of Microsoft AI Copilot: Here’s Why

Analytics Vidhya

The US government has imposed a ban on the use of Microsoft’s Copilot AI on all government-issued PCs, citing alarming security apprehensions raised by the Office of Cybersecurity. This is a significant step in safeguarding the government’s data integrity. It adds to a series of restrictions on the use of AI tools by US government […] The post US Govt Office Bans Use Of Microsoft AI Copilot: Here’s Why appeared first on Analytics Vidhya.

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Smarten Support Portal Updates – March – 2024!

Smarten

We invite you to explore our latest knowledgebase articles and to join the Smarten user community on Smarten Support Portal. If you have not registered yet, Click Here to obtain your login credentials. Knowledgebase Articles Business Use Cases : Help & Manuals : Minimizing Number of Steps using Custom SQL in SSDP Geomap : Geomap types and configuration : Importing areas and their Lat / Long Installation : Installation on Windows : Bypassing Smarten executable files from Antivirus Scan Predic

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Here’s All About Microsoft and OpenAI’s Ambitious $100 Billion AI Supercomputer Project

Analytics Vidhya

In a monumental collaboration, tech giants Microsoft and OpenAI have announced plans to construct an unprecedented AI supercomputer named Stargate. This ambitious project marked to be a significant leap in AI infrastructure and capabilities, is estimated to cost $100 billion. Let’s delve into the details of this upcoming development. Also Read: World’s Most Powerful Supercomputer […] The post Here’s All About Microsoft and OpenAI’s Ambitious $100 Billion AI Supercomputer Projec

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Fueling Innovation in Insurance With AI

Dataiku

Innovation is difficult to achieve within insurance firms as evidenced by excessive levels of paperwork and processes customers are required to complete to make a claim or sign up for a new policy. Automation is challenging — innovation will not be an overnight process and rather requires iterative experimentation and a safe environment to test, fail, and learn from experiences.

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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.

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Nvidia points to the future of AI hardware

CIO Business Intelligence

GPU powerhouse Nvidia has bet its future on AI, and a handful of recent announcements focus on pushing the technology’s capabilities forward while making it available to more organizations. During its GPU Technology Conference in mid-March, Nvidia previewed Blackwell, a powerful new GPU designed to run real-time generative AI on trillion-parameter large language models (LLMs), and Nvidia Inference Microservices (NIM), a software package to optimize inference for dozens of popular AI models.

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How Backstage streamlines software development and increases efficiency

IBM Big Data Hub

Even the best organizations face challenges about the scale and scope of governance and efficient streamlining of their resources across the enterprise. These challenges can lead to a frustrating, fragmented and disjointed developer experience. Meanwhile, different groups of developers within the organization inevitably bring different views about what one centralized code-base and tooling set should look like.

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Cloudera Named a Visionary in the Gartner MQ for Cloud DBMS

Cloudera

We’re excited to share that Gartner has recognized Cloudera as a Visionary among all vendors evaluated in the 2023 Gartner® Magic Quadrant for Cloud Database Management Systems. This recognition underscores Cloudera’s commitment to continuous customer innovation and validates our ability to foresee future data and AI trends, and our strategy in shaping the future of data management.