Wed.Jan 31, 2024

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4 paths to sustainable AI

CIO Business Intelligence

Regulators, investors, customers, and even employees are pushing companies to minimize the climate impact of their AI initiatives. Everything from geothermal data centers to more efficient graphic processing units (GPUs) can help. But AI users must also get over the urge to use the biggest, baddest AI models to solve every problem if they truly want to fight climate change.

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How to Create and Work with NamedTuples in Python?

Analytics Vidhya

Introduction Python is a versatile programming language that offers a wide range of data structures to handle complex tasks efficiently. One such data structure is a namedtuple, which combines the benefits of tuples and dictionaries. In this article, we will explore the concept of namedtuples, their creation, advantages, common use cases, and compare them with […] The post How to Create and Work with NamedTuples in Python?

Analytics 336
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Generative AI’s role in increasing IT efficiency

CIO Business Intelligence

CIOs and their IT teams — including operations/DevOps, site reliability engineering, and platform engineering — are charged with building and managing IT services that can provide near 100% uptime. When incidents do occur, they need to resolve them quickly. That’s a high bar, since a typical enterprise IT environment spans the cloud, edge, and hosted and on-premises data centers containing thousands of interdependent applications, all of which create millions of data points.

IT 126
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South Korean AI Chip Startup Rebellions Snags Funding to Challenge Nvidia

Analytics Vidhya

South Korean AI chip startup, Rebellions Inc., has successfully secured $124 million in a recent Series B financing round, with major contributions from KT Corp. The funds will be utilized to expedite the development of Rebellions’ third AI chip, known as Rebel, designed to compete with industry leader Nvidia. The investment underscores the heightened interest […] The post South Korean AI Chip Startup Rebellions Snags Funding to Challenge Nvidia appeared first on Analytics Vidhya.

Finance 306
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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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Dawn Rising: Jumpstarting a new age of AI supercomputing in the U.K.

CIO Business Intelligence

In November 2023, the Cambridge Open Zettascale Lab announced the deployment of the U.K.’s fastest AI supercomputer: Dawn Phase 1. 1 Powered by the latest Intel GPUs and CPUs aboard liquid-cooled Dell servers, the Dawn supercomputer combines breakthrough artificial intelligence (AI) and advanced high-performance computing (HPC) technology to help researchers solve the world’s most complex challenges Accelerating breakthrough Dawn vastly increases the U.K.’s AI and simulation compute capacity and

Software 119
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How to Make Pandas 150x Faster?

Analytics Vidhya

Introduction Performance optimization is crucial when working with large datasets in Pandas. As a popular data manipulation library in Python, Pandas offers a wide range of functionalities for data analysis and preprocessing. However, it can sometimes suffer from performance bottlenecks, especially when dealing with large datasets. This article will explore various techniques and best practices […] The post How to Make Pandas 150x Faster?

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Mastering Logic Gates: From Boolean Basics to Python Implementation

Analytics Vidhya

Introduction Logic gates are fundamental building blocks in digital electronics and computer science. They perform logical operations based on Boolean logic, which deals with true and false values. In this article, we will explore the importance of logic gates in computing, understand the basic concepts of Boolean logic, and learn how to implement logic gates […] The post Mastering Logic Gates: From Boolean Basics to Python Implementation appeared first on Analytics Vidhya.

Analytics 305
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Big tech ‘acquihires’ suppress IT wages, drain high-demand talent pools

CIO Business Intelligence

The biggest companies in the world are keeping tech workers’ wages low by buying up companies instead of hiring their talent, creating an increasingly limited number of potential workplaces for developers and other high-tech professionals — all while draining talent pools for enterprise CIOs. This condition — called monopsony, which describes a market in which there is only one buyer — has been fueled by the open practice among tech giants such as Google and Meta of acquiring smaller businesses

IT 105
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Samsung Chooses Baidu’s Ernie AI to Power Galaxy S24 Series in China; Find Out Why

Analytics Vidhya

Samsung Electronics is making strategic moves to regain market share in China with its latest Galaxy S24 series smartphones. The South Korean giant has opted for Baidu’s Ernie AI to enhance its devices’ artificial intelligence capabilities in the Chinese market. This decision is a crucial step in Samsung’s efforts to appeal to Chinese consumers, given […] The post Samsung Chooses Baidu’s Ernie AI to Power Galaxy S24 Series in China; Find Out Why appeared first on An

Marketing 296
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Maximizing Efficiency in Data Analysis with ChatGPT

KDnuggets

Looking to make a career in data analytics? Take the first steps today with these free courses.

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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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6 Different Approaches to Displaying Lists in Python

Analytics Vidhya

Introduction In Python, printing lists isn’t just about showing values; it’s a way for programmers to understand their code better and make sure data looks right. Let’s explore different ways to print lists, with practical examples and tips to make things clearer. Let’s dive into the world of Python lists. Enroll in our free course […] The post 6 Different Approaches to Displaying Lists in Python appeared first on Analytics Vidhya.

Analytics 296
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Streams Replication Manager Prefixless Replication

Cloudera

Replication is a crucial capability in distributed systems to address challenges related to fault tolerance, high availability, load balancing, scalability, data locality, network efficiency, and data durability. It forms a foundational element for building robust and reliable distributed architectures. It is also important to have multiple options (like normal and prefixless replication) to do the replication process, since every solution has its own advantages.

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All About Python While Loop with Examples

Analytics Vidhya

Introduction A while loop is a fundamental control flow statement in Python that allows you to repeatedly execute a block of code as long as a certain condition is true. It provides a way to automate repetitive tasks and iterate over a sequence of values. This article will explore the syntax, usage, and various applications […] The post All About Python While Loop with Examples appeared first on Analytics Vidhya.

Analytics 296
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5 Free Courses to Break Into Data Analytics

KDnuggets

Looking to make a career in data analytics? Take the first steps today with these free courses.

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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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3 Python Output Formatting

Analytics Vidhya

Introduction In Python programming, the meticulous art of output formatting assumes significance beyond syntax. This article is not just a technical walkthrough; it’s a reminder that how we present information is inseparable from the code itself. The precision embedded in formatting is not a matter of aesthetics but a silent guide, reducing ambiguity, enhancing readability, […] The post 3 Python Output Formatting appeared first on Analytics Vidhya.

Analytics 295
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Product Reviewers need to Find the New Products

Data Science 101

As a Product Reviewer, it is important to stay up-to-date on the products within your niche. That is why I just got 2 new Braun shavers. When new products get released, you need to know the details.

IT 45
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Jio Platforms Introduces ‘Jio Brain’: A Game-Changer in AI Integration

Analytics Vidhya

Jio Platforms, a subsidiary of Reliance Industries, has unveiled an innovative AI platform named ‘Jio Brain.’ This innovative platform is set to revolutionize various IT environments, including telecom, enterprise, and industry, by seamlessly integrating machine learning (ML) capabilities. Developed over two years by a dedicated team of hundreds of engineers, Jio Brain marks a significant […] The post Jio Platforms Introduces ‘Jio Brain’: A Game-Changer in AI Integr

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The Power of Anomaly Detection in Healthcare: An Overview

Dataiku

Generative AI is all the rage, but traditional machine learning (ML) techniques such as anomaly detection are still super important. In healthcare, anomaly detection offers invaluable insights that range from reducing hospital readmission rates to fighting against insurance fraud and preventing the outbreak of diseases and infections in a population.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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What is Python Dictionary keys() Method? 

Analytics Vidhya

Introduction Python dictionaries are a powerful data structure that allows you to store key-value pairs. While working with dictionaries, there may be situations where you need to retrieve the keys as a list. In this article, we will explore the importance of retrieving dictionary keys as a list and discuss various methods to achieve this. […] The post What is Python Dictionary keys() Method?

Analytics 270
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Mastering market dynamics: Transforming transaction cost analytics with ultra-precise Tick History – PCAP and Amazon Athena for Apache Spark

AWS Big Data

This post is cowritten with Pramod Nayak, LakshmiKanth Mannem and Vivek Aggarwal from the Low Latency Group of LSEG. Transaction cost analysis (TCA) is widely used by traders, portfolio managers, and brokers for pre-trade and post-trade analysis, and helps them measure and optimize transaction costs and the effectiveness of their trading strategies.

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Exploring the zip() Function in Python

Analytics Vidhya

Introduction Python offers many built-in functions that simplify programming tasks and enhance code efficiency. One such function is zip(), which allows us to combine and manipulate multiple iterables effortlessly. This comprehensive guide will delve into the various aspects of the zip() function, exploring its syntax, parameters, and advanced techniques.

Analytics 167
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Why DDI solutions aren’t always ideal for authoritative DNS

IBM Big Data Hub

The distinction between “internal” and “external” networks has always been somewhat false. Clients are accustomed to thinking about firewalls as the barrier between network elements we expose to the internet and back-end systems that are only accessible to insiders. Yet as the delivery mechanisms for applications, websites and content become more decentralized, that barrier is becoming more permeable.

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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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Democratizing IT at Munters

CIO Business Intelligence

Stockholm-based Munters, founded in 1955, works across a wide range of industries to supply innovative and energy-efficient air treatment and climate solutions. Today, the company, with nearly 4,000 employees in 30 countries and 2022 net sales of SEK10.4 billion [$1 billion], is supplemented with more specific niche systems for data centers and food tech software to support animal breeding and greenhouses.

IT 105
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What are the different types of sourcing?

IBM Big Data Hub

Sourcing isn’t just a concern for procurement teams. With rising consumer and stakeholder expectations around ethical and responsible supply chains, who supplies your organization’s goods and services is also a C-suite consideration. The sourcing process sits within supply chain management and is used for identifying, vetting and selecting the best suppliers.

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How Spreadsheet Server Lets You Master Financial Reporting in Excel

Jet Global

In the era of data abundance, many finance users are faced with an insatiable need for more in-depth reporting and analysis. As CFOs increasingly rely on their teams to extract nuanced insights from complex datasets, finance users are finding that they need a way to report on and analyze their organization’s data that goes beyond what standard ERP reports offer.