Tue.Aug 13, 2024

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Violin Plots: A Tool for Visualizing Data Distributions

Analytics Vidhya

Introduction This article explores violin plots, a powerful visualization tool that combines box plots with density plots. It explains how these plots can reveal patterns in data, making them useful for data scientists and machine learning practitioners. The guide provides insights and practical techniques to use violin plots, enabling informed decision-making and confident communication of […] The post Violin Plots: A Tool for Visualizing Data Distributions appeared first on Analytics Vid

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Think Better

O'Reilly on Data

Over the years, many of us have become accustomed to letting computers do our thinking for us. “That’s what the computer says” is a refrain in many bad customer service interactions. “That’s what the data says” is a variation—“the data” doesn’t say much if you don’t know how it was collected and how the data analysis was performed. “That’s what GPS says”—well, GPS is usually right, but I have seen GPS systems tell me to go the wrong way down a one-way street.

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Top 10 GitHub Repositories to Master Statistics

Analytics Vidhya

Introduction Statistics is a cornerstone of data science, machine learning, and many analytical domains. Mastering it can significantly enhance your ability to interpret data and make informed decisions. GitHub hosts numerous repositories that are excellent resources for anyone looking to deepen their statistical knowledge. This looks at the top 10 GitHub repositories that can help […] The post Top 10 GitHub Repositories to Master Statistics appeared first on Analytics Vidhya.

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CRM is dead — and AI can’t come to the rescue fast enough

CIO Business Intelligence

I’ve changed my mind about artificial intelligence. It used to worry me. Now I can’t get enough of it soon enough. Why the change? Once upon a time, CRM was more than a software category. It was a philosophy of doing business, exemplified by the late, great grocer Sid Applebaum, who reportedly explained (I paraphrase), “Every time I watch a shopper leave one of my stores, I see them carrying $50,000 worth of groceries.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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A Comprehensive Guide on LLM Quantization and Use Cases

Analytics Vidhya

Introduction Large Language Models (LLMs) have demonstrated unparalleled capabilities in natural language processing, yet their substantial size and computational requirements hinder their deployment. Quantization, a technique to reduce model size and computational cost, has emerged as a critical solution. This paper provides a comprehensive overview of LLM quantization, delving into various quantization methods, their impact […] The post A Comprehensive Guide on LLM Quantization and Use C

Modeling 266
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Deep automation: A CIO weapon for turning disruption into opportunity

CIO Business Intelligence

The IDC CIO Sentiment Survey has consistently shown automation climbing the priority list since 2020. Indeed, according to the 2023 survey (September 2023), 71.1% of respondents said they were accelerating or continuing to invest in automation to replace part of the workforce, and 73.7% said it was to improve processes in the context of difficult economic conditions.

More Trending

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CIOs go green, vet IT investments for sustainability

CIO Business Intelligence

Sustainability is on the rise as a CIO imperative, with most CIOs now central to their organization’s increasing focus on sustainability planning — a trend that’s shaking up what technologies IT leaders are investing in and the vendors and partners they are signing deals with. More than nine in 10 CIOs are ramping up sustainability investments, according to the Logicalis Global CIO Report for 2024.

IT 128
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Comprehensive Guide to Advanced Python Programming

Analytics Vidhya

Introduction In the previous article, we discussed the comprehensive overview of the “Python Programming Language and its built-in Data Structure.” We have also discussed the importance of learning Python to stay relevant in today’s competitive data science market, where many people have already been laid off due to the automation of tasks and the rise […] The post Comprehensive Guide to Advanced Python Programming appeared first on Analytics Vidhya.

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2024 CIO Hall of Fame inductees on the future of the CIO role

CIO Business Intelligence

Like most modern CIOs, Sathish Muthukrishnan has seen the list of responsibilities for the top IT position expand; his title — chief information, data, and digital officer — reflects that expansion. As the IT chief at Ally Financial, and one of this year’s 10 CIO Hall of Fame inductees , Muthukrishnan says the position has evolved into one that is now “a strategic partner for the enterprise.

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Exploring MoViNets: Efficient Mobile Video Recognition

Analytics Vidhya

Introduction Let us dive into the fascinating world of mobile video recognition with “MoViNets Unleashed”! This blog takes you on an exploration of how MoViNets are transforming video analysis on mobile devices, combining cutting-edge techniques like neural architecture search, stream buffering, and temporal ensembling. Discover how these innovative models, built on the robust architectures, are […] The post Exploring MoViNets: Efficient Mobile Video Recognition appeared first

Modeling 230
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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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UK antitrust regulator puts Synopsys’ $35B acquisition of Ansys under the microscope

CIO Business Intelligence

The proposed $35-billion merger of chip design software giants Synopsys and Ansys is facing increased scrutiny from global regulators, with the UK’s Competition and Markets Authority (CMA) the latest to launch an investigation. The CMA has initiated an early-stage inquiry into the acquisition proposal, signaling potential regulatory hurdles ahead for the massive deal.

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Top 10 Telephonic Interview Tips

Analytics Vidhya

Introduction Passing a phone interview may be a criterion for consideration to the next stage of an interview for the next job. It is possibly the only occasion one gets to form a good impression on a prospective employer before the world but without the benefit of a face-to-face conversation. You can do this much […] The post Top 10 Telephonic Interview Tips appeared first on Analytics Vidhya.

Analytics 225
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AI turns liquid cooling into a data center must-have solution

CIO Business Intelligence

Artificial intelligence (AI) has upped the ante across all tech arenas, including one of the most traditional ones: data centers. Modern data centers are running hotter than ever – not just to manage ever-increasing processing demands, but also rising temperatures as the result of AI workloads, which sees no end in sight. Two out of three IT leaders expect AI spending to increase this year, making it a necessity to find new ways to cool data centers. [1] Liquid cooling is rapidly gaining tractio

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Llama 3 vs Llama 3.1 : Which is Better for Your AI Products?

Analytics Vidhya

Introduction On July 23rd, 2024, Meta released its latest flagship model, Llama 3.1 405B, along with smaller variants: Llama 3.1 70B and Llama 3.1 8B. This release came just three months after the introduction of Llama 3. While Llama 3.1 405B outperforms GPT-4 and Claude 3 Opus in most benchmarks, making it the most powerful […] The post Llama 3 vs Llama 3.1 : Which is Better for Your AI Products?

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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AI Adoption Is Inevitable: How to Balance Innovation with Security Risks

CIO Business Intelligence

According to EY , 96% of enterprises are planning to use AI in the next 12 months, compared to 43% today. Integrating AI and large language models (LLMs) into business operations unlocks new possibilities for innovation and efficiency, offering the opportunity to grow your top line revenue, and improve bottom line profitability. As with any new technology, however, security must be designed into the adoption of AI in order to minimize potential risks.

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Organize content across business units with enterprise-wide data governance using Amazon DataZone domain units and authorization policies

AWS Big Data

Amazon DataZone has announced a set of new data governance capabilities—domain units and authorization policies—that enable you to create business unit-level or team-level organization and manage policies according to your business needs. With the addition of domain units, users can organize, create, search, and find data assets and projects associated with business units or teams.

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How to Deal with Missing Data Using Interpolation Techniques in Pandas

KDnuggets

Stop data from dropping out - learn how to handle missing data like a pro using interpolation techniques in Pandas.

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Use AWS Glue to streamline SFTP data processing

AWS Big Data

In today’s data-driven world, seamless integration and transformation of data across diverse sources into actionable insights is paramount. AWS Glue is a serverless data integration service that helps analytics users to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Using NumPy to Perform Date and Time Calculations

KDnuggets

NumPy allows you to easily create arrays of dates, perform arithmetic on dates and times, and convert between different time units with just a few lines of code.

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Navigating the LLM Landscape: What IT Leaders Need to Know

Dataiku

The rapid advancement of large language models (LLMs) is reshaping the enterprise technology landscape. As a CIO or IT leader, understanding how to leverage these powerful tools effectively is crucial for staying competitive.

IT 59
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Using Cluster Analysis to Segment Your Data

KDnuggets

Uncover the potential of cluster analysis for segmenting, analyzing, and gaining insights from groups of similar data.

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Better Profits: How to Use Analytics to Boost Sustainability + ROI

Aryng

When a transportation service uses data analytics to optimize its delivery routes and save fuel costs, it also saves the environment from a tremendous amount of pollution. In today’s world, such an improvement in business operations exemplifies the ultimate win-win. Sustainability analytics doesn’t have to mean sacrificing profits for a greener world.

ROI 52
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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Unlocking Creativity: Simple Steps for Non-Designers to Build Powerful Visual Frameworks

Depict Data Studio

by guest author Kate Hall Creating a Customer Service Visual Framework I present a lot and have given customer service presentations in different forms and fashions for over 15 years. I usually get compliments on my presentations, but I wanted to make sure the information I was presenting was sticking with people. I needed to refresh a customer service presentation and decided to use it as an opportunity to apply the lessons from Powerful Presentations I was learning.

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The Benefits of Low-Code, No-Code in Augmented Analytics!

Smarten

What Are the Advantages of Low-Code, No-Code Platform in Augmented Analytics Solutions? According to some estimates, the rise of low-code, no-code and AI in analytics has increased access to augmented analytics to end-users by 36% to 56%. In fact, Gartner predicts that 75% of new global software solutions will incorporate a low-code approach. In the analytics software market, the primary driver of this growth is the advent of solutions that can be quickly modified and upgraded to address new req

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Transformative Change: How AI is Impacting the Manufacturing Industry

Jet Global

We know it feels like all anyone talks about these days is artificial intelligence. Since the launch of ChatGPT in 2022, the professional world has been abuzz with reactions to this game-changing technology. It’s everywhere – and for good reason. Artificial intelligence (AI) and machine learning (ML) tools have been around for a while, but ChatGPT brought AI into the mainstream in ways that hadn’t been seen before.