Fri.Feb 02, 2024

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Apple’s Vision Pro Launched with 600 Apps: Here’s All You Need to Know

Analytics Vidhya

Apple’s much-anticipated Vision Pro headset has hit the market, boasting an array of features and applications designed to redefine the virtual and augmented reality experience. Priced at $3,499, the Vision Pro is set to cater to a diverse audience, blending entertainment, productivity, and spatial computing. In this article, we delve into the key aspects of […] The post Apple’s Vision Pro Launched with 600 Apps: Here’s All You Need to Know appeared first on Analytics Vidhya.

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2024 Market Agenda for Artificial Intelligence: Improving Productivity and Experiences

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2024 Market Agenda for Artificial Intelligence , continuing the guidance we have offered for two decades to help enterprises derive optimal value from technology and improve business outcomes.

Marketing 130
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Linked Lists in Python

Analytics Vidhya

Introduction A Linked List is a data structure consisting of a sequence of nodes, each containing a value and a reference to the next node in the sequence. Unlike arrays, Linked Lists do not require contiguous memory allocation, making them more flexible and efficient for certain operations. In this article, we will explore the advantages […] The post Linked Lists in Python appeared first on Analytics Vidhya.

Analytics 306
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Women IT leaders on their climb to the top

CIO Business Intelligence

For women who aspire to leadership roles in IT, the climb to the top can be particularly arduous — and lonely. Just 28% of IT leadership roles are filled by women, according to DDI’s 2023 Global Leadership Forecast , and many women end up leaving IT careers due to workplace culture, pay equity, microaggressions, and a lack of forward growth and promotion, among other uphill challenges.

IT 132
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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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Check if Element Exists in List in Python

Analytics Vidhya

Introduction Checking if an element exists in a list is common in Python programming. Several methods are available to accomplish this, whether you want to search for a number, string, or even a custom object. This article will give you techniques to check if an element exists in a list and discuss its performance considerations. […] The post Check if Element Exists in List in Python appeared first on Analytics Vidhya.

Analytics 306
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GenAI demand helps AWS accelerate revenue growth

CIO Business Intelligence

Amazon Web Services (AWS), the cloud computing arm of Amazon, posted a 13% growth in revenue in the fourth quarter of 2023 buoyed by demand for generative AI -related services, despite continued cost optimization activity by enterprises. “Similar to what we shared last quarter, we continue to see the diminishing impact of cost optimizations. And as these optimizations slow down, we’re seeing more companies turning their attention to newer initiatives and reaccelerating existing migrations,” Br

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OpenAI API for Beginners: Your Easy-to-Follow Starter Guide

KDnuggets

Learn how to use OpenAI Python API for accessing language, embedding, audio, vision, and image generation models.

Modeling 130
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What is numpy.linspace() in Python?

Analytics Vidhya

Introduction numpy.linspace() is a powerful function in Python’s NumPy library that allows you to create evenly spaced arrays with a specified number of elements. It’s a versatile tool used in various applications, from scientific computing to data analysis and data visualization. In this blog, we’ll explore the ins and outs of numpy.linspace() and how you […] The post What is numpy.linspace() in Python?

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4 questions to consider when you’re selecting an external DNS provider

IBM Big Data Hub

There are many reasons to move to a managed DNS platform, but they all revolve around a central theme. Once you reach a critical mass of traffic and start getting concerned about the performance and reliability of what you’re delivering, it’s time to consider a managed DNS solution. There are several well-known options out there, and to a newcomer they can appear relatively similar at first.

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Ways of Converting Textual Data into Structured Insights with LLMs

Analytics Vidhya

Introduction In the era of big data, organizations are inundated with vast amounts of unstructured textual data. The sheer volume and diversity of information present a significant challenge in extracting insights. Unstructured data, including text documents and social media posts, exacerbates this challenge with its inherent lack of predefined structure, making extracting meaningful insights even […] The post Ways of Converting Textual Data into Structured Insights with LLMs appeared firs

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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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Is premium DNS worth it?

IBM Big Data Hub

There’s a moment in the life of most enterprises where the connection between Domain Name System (DNS) and revenue comes into greater focus. It’s the moment when businesses discover that delivering high-quality applications, services and content requires more attention to the quality of DNS connections. For most businesses, this is also the moment when they discover that the free DNS services offered by domain registrars or DIY systems they’ve been using are no longer fit for p

IT 103
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All About Python List Slicing With Examples

Analytics Vidhya

Introduction Python offers developers a wide range of functionalities. Its simplicity and extensive libraries make it a go-to choice for diverse applications, from data analysis, machine learning, and web development to automation and scripting. In this article, we will explore the concept of list slicing in Python, its benefits, syntax, and various techniques to perform […] The post All About Python List Slicing With Examples appeared first on Analytics Vidhya.

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IBM Databand: Self-learning for anomaly detection

IBM Big Data Hub

Almost a year ago, IBM encountered a data validation issue during one of our time-sensitive mergers and acquisitions data flows. We faced several challenges as we worked to resolve the issue, including troubleshooting, identifying the problem, fixing the data flow, making changes to downstream data pipelines and performing an ad hoc run of an automated workflow.

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12 Platforms to Run Python Code Online

Analytics Vidhya

Introduction In programming and data science, the ability to run Python code online has become a game-changer for developers, learners, and professionals. If you’re seeking the ideal platform, you’re on the right track. This article explores 12 platform to run Python code online and highlights some of the most popular platforms available for this purpose. […] The post 12 Platforms to Run Python Code Online appeared first on Analytics Vidhya.

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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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Chart Snapshot: Area Bands

The Data Visualisation Catalogue

Sometimes known as a: Band Graph, Band Chart, High-Low Graph, Bollinger Bands. Area Bands enhance standard Line Graphs by filling the space between upper and lower value lines with a shaded area, providing a visual representation of the range boundaries. Essentially, this is a visual enhancement to a graph, which offers more detail and context to data changing over time.

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Top 10 Data Science Companies to Work for in 2024

Analytics Vidhya

As the demand for data-driven insights continues to surge across industries, the role of data scientists has become increasingly crucial. If you’re considering a career in data science or looking to elevate your current position, it’s essential to explore opportunities with companies that are at the forefront of innovation in this dynamic field.

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Converting JSONs to Pandas DataFrames: Parsing Them the Right Way

KDnuggets

Navigating Complex Data Structures with Python's json_normalize.

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Fine-tuning A Tiny-Llama Model with Unsloth

Analytics Vidhya

Introduction After the Llama and Mistral models were released, the open-source LLMs took the limelight out of OpenAI. Since then, multiple models have been released based on Llama and Mistral architecture, performing on par with proprietary models like GPT-3.5 Turbo, Claude, Gemini, etc. However, these models are too large to be used in consumer hardware. […] The post Fine-tuning A Tiny-Llama Model with Unsloth appeared first on Analytics Vidhya.

Modeling 292
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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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Quantum Leap: Beyond the Limits of Machine Learning

Dataiku

Quantum Machine Learning (QML) leverages quantum computing to solve challenging ML problems that classical computers cannot efficiently handle. Significant advantages are expected for classically-intractable problems, such as searching a very high dimensional space, as required in drug discovery or extracting properties from large graphs with applications in DNA sequencing.

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How the Recording Academy uses IBM watsonx to enhance the fan experience at the GRAMMYs®

IBM Big Data Hub

Through the GRAMMYs®, the Recording Academy® seeks to recognize excellence in the recording arts and sciences and ensure that music remains an indelible part of our culture. When the world’s top recording stars cross the red carpet at the 66th Annual GRAMMY Awards, IBM will be there once again. This year, the business challenge facing the GRAMMYs paralleled those of other iconic cultural sports and entertainment events: in today’s highly fragmented media landscape, creating

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Elevating E-commerce with Data: How InsightOut Transforms Data into Profi

InsightOut

In the competitive world of e-commerce, data is not just a resource—it's a lifeline. From understanding customer behavior to optimizing supply chains, the right data can propel an online business to new heights. This is where InsightOut steps in, offering e-commerce companies the tools they need to clean, analyze, and report on key data metrics. Let's explore how InsightOut is leading the way and revolutionizing the way e-commerce businesses leverage data.

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How to Convert Python List to NumPy Arrays?

Analytics Vidhya

Introduction Python is a versatile programming language that offers a wide range of data structures. One such structure is a list, which allows you to store multiple values in a single variable. However, when performing complex mathematical operations or working with large datasets, Python lists may not be the most efficient option. This is where […] The post How to Convert Python List to NumPy Arrays?

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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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Examples of sustainability: How new efforts are shaping the environmental future

IBM Big Data Hub

As the world grapples with the realities of climate change , sustainability has evolved from a buzzword to a global imperative. Countries, communities and corporations are seeking ways to slow the pace of change and reduce the impact of human and business activities on the environment. Today, sustainability efforts are being shaped by new urgency and new technology.

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10 master data management certifications that will pay off

CIO Business Intelligence

As data and analytics become the beating heart of the enterprise, it’s increasingly critical for the business to have access to consistent, high-quality data assets. Master data management (MDM) is required to ensure the enterprise’s data is consistent, accurate, and controlled. MDM is a set of disciplines, processes, and technologies used to master an organization’s master data, or data about business entities or objects around which business is conducted.

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Partnerships and their role in the energy value chain

Jen Stirrup

As the world moves towards Net Zero and sustainability in energy, this year’s India Energy Week exhibition provides an outstanding platform for domestic and international energy businesses to form partnerships. Alongside strategic conversations, the event will create opportunities for the global energy value chain. There are over 350 exhibiting companies attending India Energy Week from all over the world, for example, as New Zealand, Taiwan and the US.

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Generative AI is hot, but predictive AI remains the workhorse

CIO Business Intelligence

Since the release of ChatGPT in November 2022, generative AI (genAI) has become a high priority for enterprise CEOs and boards of directors. A PwC report, for instance, found that 84% of CIOs expect to use genAI to support a new business model in 2024. Certainly, there’s no doubt that genAI is a truly transformative technology. But it’s also important to remember that it is just one flavor of AI, and it’s not the best technology to power every use case.

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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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Cloudera Named Strong Performer in New Forrester Wave for Streaming Platforms

Cloudera

Forrester Research recently released the Forester Wave for Streaming Platforms, Q4 2023. We are happy to share that Cloudera ranked as a strong performer, with a top three score for current offering. This score was stronger than anyone outside of one-cloud vendors Microsoft and Google, including a stronger current offering than Confluent. Cloudera is also the strongest on-prem offering and the only fully hybrid offering to achieve a strong performer score.