Thu.Apr 18, 2024

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Meta Releases Much-Awaited Llama 3 Model

Analytics Vidhya

Meta has unveiled its much-awaited Llama 3 model, marking a significant milestone in the field of open-source large language models (LLMs). This new model sets a new standard for LLMs with enhanced capabilities and a commitment to responsible development. Let’s delve into the key features and implications of Meta’s most powerful model yet. Also Read: […] The post Meta Releases Much-Awaited Llama 3 Model appeared first on Analytics Vidhya.

Modeling 328
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CIOs not entirely sold on generative AI copilots

CIO Business Intelligence

A new breed of AI assistant has set its sights on the enterprise user in recent months, with Microsoft and other vendors promising huge productivity gains that offset the cost. But Microsoft still has work to do on its value proposition. Its Copilot for Microsoft 365, a high-profile offering among the growing list of AI agents, costs $30 per seat per month, with a 300-seat minimum.

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Top 6 Datasets For Emotion Detection

Analytics Vidhya

Introduction Emotion detection is the most important component of affective computing. It has gained significant traction in recent years due to its applications in diverse fields such as psychology, human-computer interaction, and marketing. Central to the development of effective emotion detection systems are high-quality datasets annotated with emotional labels.

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Oracle to invest $8 billion in Japan through 2034

CIO Business Intelligence

Oracle is planning to invest $8 billion in Japan over the next 10 years in order to expand its cloud infrastructure footprint, which in turn will help the company meet the growing demand for AI-based workloads, the company announced on Wednesday. As part of the investment, the company said it will increase local customer support of its public cloud regions in Tokyo and Osaka.

Strategy 111
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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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How Snowflake’s Text Embedding Models Are Disrupting the Industry

Analytics Vidhya

Introduction Text embedding plays a crucial role in modern AI workloads, particularly in the context of enterprise search and retrieval systems. The ability to accurately and efficiently find the most relevant content is fundamental to the success of AI systems. However, existing solutions for text embedding have certain limitations that hinder their effectiveness.

Modeling 313
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7 Steps to Mastering MLOPs

KDnuggets

Join us on a journey of becoming a professional MLOps engineer by mastering essential tools, frameworks, key concepts, and processes in the field.

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Cloud native platforms: To build or to buy?

CIO Business Intelligence

When it comes to cloud native application platforms, we’re at an important evolutionary point: will the best practice for platforms be to build or to buy? Should you choose the components you need for a platform and integrate them together, or should you buy a pre-integrated platform? Unless you’re a handful of organizations, the practical answer is that you should buy the platform.

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Amazon Music Introduces Maestro: Your Personal AI Playlist Assistant

Analytics Vidhya

Amazon Music is stepping up its game with the launch of Maestro, an AI-driven playlist generator aimed at revolutionizing how users create and enjoy their music collections. Similar to Spotify’s AI playlist feature, Maestro promises to simplify playlist creation and inject a dose of fun into the process. Let’s delve into what Maestro offers and […] The post Amazon Music Introduces Maestro: Your Personal AI Playlist Assistant appeared first on Analytics Vidhya.

Analytics 311
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A Look Back at the Gartner Data and Analytics Summit

Cloudera

Artificial intelligence (AI) is something that, by its very nature, can be surrounded by a sea of skepticism but also excitement and optimism when it comes to harnessing its power. With the arrival of the latest AI-powered technologies like large language models (LLMs) and generative AI (GenAI), there’s a vast amount of opportunities for innovation, growth, and improved business outcomes right around the corner.

Analytics 104
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Introduction to Python Programming for Data Science

Analytics Vidhya

Do you want to learn Python for data science or tech, but worried about expensive courses? Great news! This article is all about a free Python course that’s perfect for you, no matter your experience level. Even if you are a beginner, this course will help you with foundation building. Or, if you’re already a […] The post Introduction to Python Programming for Data Science 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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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

Imagine a world where machines aren’t confined to pre-programmed tasks but operate with human-like autonomy and competence. A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. This is the potential of artificial general intelligence (AGI), a hypothetical technology that may be poised to revolutionize nearly every aspect of human life and work.

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Let the Prompt Battle Begin #9

Analytics Vidhya

Are you ready to fuel your creativity? Join our Prompt Battle! Share your prompts and let’s create magic together. Whether you’re a seasoned creator or just starting out, this is your chance to shine. Drop yourprompts in the comments and let the battle for brilliance begin! How does it Work? Step 1: You give us […] The post Let the Prompt Battle Begin #9 appeared first on Analytics Vidhya.

Analytics 308
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Get University Level Certified for Next to Nothing

KDnuggets

Learning a new skill can be expensive, but it doesn’t have to be.

IT 108
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Transforming Video Editing with Adobe’s AI Innovations in Premiere Pro

Analytics Vidhya

Introduction When it comes to professional video editing software, Adobe Premiere Pro is considered the standard tool to do so. Filmmakers, TV editors, and content producers use it a lot all around the world. Integrating artificial intelligence into this versatile platform heralds a significant advancement in video editing, cultivating greater speed, intuition, and creative potential. […] The post Transforming Video Editing with Adobe’s AI Innovations in Premiere Pro appeared first o

Software 307
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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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Role of AI-Driven Image Recognition in Modern Security

Smart Data Collective

AI technology has significantly improved image recognition technology, which helps with modern security.

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NVIDIA Launches Ampere-based RTX A1000 and A400 Pro GPUs

Analytics Vidhya

NVIDIA has expanded its professional GPU lineup with the introduction of the RTX A1000 and A400, ushering in a new era of performance and efficiency for workstation users. These Ampere-based GPUs are tailored for professionals seeking enhanced AI capabilities and real-time ray tracing. Let’s delve into the details. Also Read: Game Changer Alert: NVIDIA GeForce […] The post NVIDIA Launches Ampere-based RTX A1000 and A400 Pro GPUs appeared first on Analytics Vidhya.

Analytics 301
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Probable Root Cause: Accelerating incident remediation with causal AI 

IBM Big Data Hub

It has been proven time and time again that a business application’s outages are very costly. The estimated cost of an average downtime can run USD 50,000 to 500,000 per hour , and more as businesses are actively moving to digitization. The complexity of applications is growing as well, so Site Reliability Engineers (SREs) require hours—and sometimes days—to identify and resolve problems.

Metrics 65
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Microsoft Excel: Formulas & Functions

Analytics Vidhya

Introduction Learning Excel for free can be a great start to boost your skills. Excel is super important for lots of jobs. It helps you organize info and do cool stuff with numbers. In this article, we’ll talk about a free course on Excel. It’s like a special class where you can learn all about […] The post Microsoft Excel: Formulas & Functions appeared first on Analytics Vidhya.

Analytics 299
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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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Explainable AI in Practice (In Plain English!)

Dataiku

As organizations scale their data science, machine learning (ML), and artificial intelligence (AI) efforts, they are bound to reach the impasse of learning when to prioritize white-box models over black-box ones (because there is a time and a place for those ) and how to infuse explainability along the way.

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From Learning to Leading: The Vijay Gabale Story

Analytics Vidhya

In this episode of Leading with Data, we have the privilege of exploring the vibrant world of data-driven innovation with Vijay Gabale, co-founder at Infilect. Amidst the intricate interplay of economics and resource optimization, Gabale emerges as a visionary leader, leveraging the power of AI and software solutions to reshape industries. With a keen focus […] The post From Learning to Leading: The Vijay Gabale Story appeared first on Analytics Vidhya.

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Why We Open-Sourced Our Data Observability Products

DataKitchen

Introducing DataKitchen’s Open Source Data Observability Software Today, we announce that we have open-sourced two complete, feature-rich products that solve the data observability problem: DataOps Observervability and DataOps TestGen. With these two products, you will know if your pipelines are running without error and on time and can finally trust your data.

Testing 120
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20 Basic Linux Commands for Data Science in 2024

Analytics Vidhya

Introduction Linux, the operating system favored by data science professionals, offers flexibility, power, and open-source tools. As a data science beginner, mastering the Linux command line is a key step towards empowering yourself in data manipulation, analysis, and modeling. This article will provide you with 20 basic Linux commands essential for your journey in data […] The post 20 Basic Linux Commands for Data Science in 2024 appeared first on Analytics Vidhya.

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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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How Salesforce optimized their detection and response platform using AWS managed services

AWS Big Data

This is a guest blog post co-authored with Atul Khare and Bhupender Panwar from Salesforce. Headquartered in San Francisco, Salesforce, Inc. is a cloud-based customer relationship management (CRM) software company building artificial intelligence (AI)-powered business applications that allow businesses to connect with their customers in new and personalized ways.

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Navigating the Digital Operational Resilience Act

Cloudera

Regulations often get a bad rap. You may have heard the old idiom “cut the red tape” which means to circumvent obstacles like regulations or bureaucracy. But in many – if not most )– cases the underlying need for regulations outweighs the burden of compliance. In the financial sector, regulations are essential for financial institutions to maintain stability by preventing excessive risk-taking, ensuring adequate capitalization and reducing the likelihood of failures or financial crises.

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A CIO’s Journey through Data-Driven Transformation

Data Virtualization

Reading Time: 2 minutes Imagine a chief information officer (CIO) at the forefront of an ambitious mission. The CIO’s company, in pursuit of growth and profitability, faces an all-too-common obstacle: harnessing the vast ocean of data. This CIO understands that the key to unlocking. The post A CIO’s Journey through Data-Driven Transformation appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Jet Global

Companies that offer products to their customers demand analytics, all while juggling multiple priorities. Customers expect rapid value from your product (time-to-value), unwavering security of their data, and access to advanced analytics capabilities. All this occurs within a highly competitive market where differentiation is key to success. While maintaining the core functionality of your offering is essential, neglecting these differentiating features can negatively impact customer retention.

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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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Why Now is the Time to Move From Manual to Modern Planning

Jet Global

Over the past few years finance has played an increasingly strategic role within the wider organization, becoming the go-to team for actionable insights. Now longer a siloed unit, your finance team has been saddled with the unenviable task of navigating the organization through rough waters. Constant market changes have increased pressure on faster, more accurate forecasting and reporting to inform rapid decision-making.