Wed.Sep 27, 2023

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A Beginners Guide to LLMOps For Machine Learning Engineering 

Analytics Vidhya

Introduction The release of OpenAI’s ChatGPT has inspired a lot of interest in large language models (LLMs), and everyone is now talking about artificial intelligence. But it’s not just friendly conversations; the machine learning (ML) community has introduced a new term called LLMOps. We have all heard of MLOps, but what is LLMOps? Well, it’s […] The post A Beginners Guide to LLMOps For Machine Learning Engineering appeared first on Analytics Vidhya.

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5 Free Books to Help You Master Python

KDnuggets

From the basics of Python to clean architecture and more, here are five free books to level up your Python skills.

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Mastering Sentiment Analysis through Generative AI

Analytics Vidhya

Introduction Sentiment analysis has revolutionized the way companies understand and respond to customer feedback. Customer sentiment analysis analyzes customer feedback, such as product reviews, chat transcripts, emails, and call center interactions, to categorize customers into happy, neutral, or unhappy. This categorization helps companies tailor their responses and strategies to enhance customer satisfaction.

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Unify Batch and ML Systems with Feature/Training/Inference Pipelines

KDnuggets

A new way to do MLOps for your Data-ML-Product Teams.

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Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

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Customized Marketing Copywriting Using LLMS for E-commerce

Analytics Vidhya

Introduction In an era defined by technological innovation and rapid digitalization, e-commerce has become a cornerstone of modern business. With a global reach and immense potential for growth, online retail has reshaped consumer behaviors and expectations. In this digital marketplace, where countless products and services compete for attention, the ability to effectively connect with customers […] The post Customized Marketing Copywriting Using LLMS for E-commerce appeared first on Analy

Marketing 341
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Deploying Your First Machine Learning Model

KDnuggets

With just 3 simple steps, you can build & deploy a glass classification model faster than you can say.glass classification model!

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Investing In AI? Here Is What To Consider

KDnuggets

Everything you need to know about investing in AI initiatives.

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The Rise of AI-Powered Text Messaging in Business

Analytics Vidhya

Introduction In recent years, the integration of Artificial Intelligence (AI), specifically Natural Language Processing (NLP) and Machine Learning (ML), has fundamentally transformed the landscape of text-based communication in businesses. This article delves into the technical aspects of AI-powered text messaging, exploring the foundational concepts, applications, benefits, challenges, and the future of this technology.

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KDnuggets News, September 27: ChatGPT Projects Cheat Sheet • Introduction to PyTorch & Lightning AI

KDnuggets

10 ChatGPT Projects Cheat Sheet • Introduction to Deep Learning Libraries: PyTorch and Lightning AI • Top 5 Free Alternatives to GPT-4 • Machine Learning Evaluation Metrics: Theory and Overview • Kick Ass Midjourney Prompts with Poe

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Employee Attrition Rate Prediction Using ZenML and Streamlit

Analytics Vidhya

Introduction Are u working as an HR ? struggling to predict whether the employees in your team will continue working or they’re consider leaving the organisation, No worries ! you don’t wanna be a astrologer to predict this, by using the power of Data Science, we can predict it accurately. Let us begin our wonderful […] The post Employee Attrition Rate Prediction Using ZenML and Streamlit appeared first on Analytics Vidhya.

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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Big Data & AI In Collision Course With IP Laws – A Complete Guide

Smart Data Collective

Big data and AI are remarkable technologies transforming the face of industries, setting a new benchmark in efficiency, accuracy, and productivity. However, like all technologies, they also come with their own set of challenges and risks. One such critical area pertains to Intellectual Property (IP) laws. Given the massive amount of data processed and the autonomous decision-making capabilities of AI, it isn’t surprising that IP laws are getting increasingly involved.

Big Data 110
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10 Ways To Enhance Data Literacy of Your Organization

Analytics Vidhya

Living in the era of the fourth industrial revolution, characterized by the convergence of physical and digital technologies, we witness many “smart” connected devices, from watches to speakers to smart TVs. This is the essence of Industry 4.0, powered by data. Data serves as the fuel driving constant technological breakthroughs, making it a valuable asset […] The post 10 Ways To Enhance Data Literacy of Your Organization appeared first on Analytics Vidhya.

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A fluency in business and tech yields success at NATO

CIO Business Intelligence

With the intricacies of the CIO role multiplying, there’s increased talk about having deft knowledge and understanding of both the business and technology in order to contemplate and process next moves as a leader. In Manfred Boudreaux-Dehmer’s case as the first CIO of NATO, he has a unique perspective of soon to be 32 nations that make decisions by consensus, and he leads from a global position of technology, so there needs to be a guiding principle, he says.

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Machine Learning Engineer Salary in USA

Analytics Vidhya

Introduction Machine learning engineering is among the most sought-after and well-paid occupations in the United States today. Machine Learning Engineer salary in the USA is quite lucrative. These engineers are well-compensated for their extensive expertise and specialized skills in ML. According to the World Economic Forum, 42% of businesses will be automated by 2027.

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Predicting the Future of Sales: How AI and Automation Will Revolutionize Strategies

In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.

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4 Ways AI Can Enhance Your Marketing Strategies

Smart Data Collective

Are you looking for a way to enhance your company’s marketing strategies? Look no further than AI. The technology might be evolving, but more and more people are embracing its potential. AI is making its mark on the working world with automated tools for everything from content creation to data management. According to Inkwood Research, global companies are projected to spend over $82 billion on AI marketing by 2028.

Marketing 102
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How to Use ChatGPT for Google Sheets?

Analytics Vidhya

Introduction Google Sheets is an extensive and popularly known spreadsheet application. Over the years, it has established itself as a key resource for data management and analysis. However, unlocking every potential of Google Sheets may appear to be a challenging task, particularly for people without a solid foundation in data analytics or coding. Here, ChatGPT […] The post How to Use ChatGPT for Google Sheets?

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Network connectivity patterns for Amazon OpenSearch Serverless

AWS Big Data

Amazon OpenSearch Serverless is an on-demand, auto-scaling configuration for Amazon OpenSearch Service. OpenSearch Serverless enables a broad set of use cases, such as real-time application monitoring, log analytics, and website search. OpenSearch Serverless lets you use OpenSearch without having to worry about scaling and managing an OpenSearch cluster.

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Closing the breach window, from data to action

IBM Big Data Hub

Accelerate threat detection and response (TDR) using AI-powered centralized log management and security observability It is not news to most that cyberattacks have become easier to launch and harder to stop as attackers have gotten smarter and faster. For those defending against cyberthreats, things continue to get more complicated. The list of challenges is long: cloud attack surface sprawl, complex application environments, information overload from disparate tools, noise from false positives

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Improved resiliency with cluster manager task throttling for Amazon OpenSearch Service

AWS Big Data

Amazon OpenSearch Service is a managed service that makes it simple to secure, deploy, and operate OpenSearch clusters at scale in the AWS Cloud. Amazon OpenSearch clusters are comprised of data nodes and cluster manager nodes. The cluster manager nodes elect a leader among themselves. The leader node is the authority on the metadata in the cluster, which is called cluster state.

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Open source large language models: Benefits, risks and types

IBM Big Data Hub

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. There are two types of these generative AI models: proprietary large language models and open source large language models.

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Strengthening Your Data Ecosystem with Unrivaled Security

Cloudera

As data ecosystems evolve security becomes a paramount concern, especially within the realm of private cloud environments. Cloudera on Private Cloud with the Private Cloud Base (CDP PvC Base) stands as a beacon of innovation in the realm of data security, offering a holistic suite of features that work in concert to safeguard sensitive information. With the latest 7.1.9 release , the journey towards a more secure data ecosystem continues — one where businesses can unlock the full potential of th

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Discovery to delivery: Transform the shopper’s journey

IBM Big Data Hub

The relevance of a promise The fundamental principle of commerce is the concept of a “promise.” A promise of accuracy in product detail, product capabilities, quality, price and delivery. The promise of accuracy in inventory—or, more importantly, in the availability of inventory—is very important when there are competing demands for the same unit of inventory and unpredictable disruptions to sources of supply.

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Enterprise ABM Marketing Tools: A Marketers Guide

Savvy B2B marketers know that a great account-based marketing (ABM) strategy leads to higher ROI and sustainable growth. In this guide, we’ll cover: What makes for a successful ABM strategy? What are the key elements and capabilities of ABM that can make a real difference? How is AI changing workflows and driving functionality? This Martech Intelligence Report on Enterprise Account-Based Marketing examines the state of ABM in 2024 and what to consider when implementing ABM software.

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How intuitive CAE apps accelerate product development

CONTACT Software

Today, companies face multiple challenges in launching increasingly complex products to the market faster. In particular, the lack of specialized knowledge available from simulation experts in the field of computer-aided engineering (CAE) often slows down product development. Easy-to-use CAE applications can remedy this situation and significantly improve the way products are developed and optimized.

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Debunking observability myths – Part 6: Observability is about one part of your stack

IBM Big Data Hub

In our blog series, we’ve debunked the following observability myths so far: Part 1: You can skip monitoring and rely solely on logs Part 2: Observability is built exclusively for SREs Part 3: Observability is only relevant and beneficial for large-scale systems or complex architectures Part 4: Observability is always expensive Part 5: You can create an observable system without observability-driven automation Today, we’re delving into another misconception about observability—

Metrics 69
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Gen AI success starts with an effective pilot strategy

CIO Business Intelligence

Generative artificial intelligence is all the rage, but how can enterprises actually harness the technology’s promise and implement it for value? What benefits can be expected and what challenges might arise? Gen AI is a relatively new tool for organizations and individual users. And while many CIOs might have a fairly solid understanding of the technology, putting it into actual use at scale is something else entirely.

Strategy 126
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Octopai’s Groundbreaking Real-Time Data Lineage Support for Databricks

Octopai

In today’s fast-paced digital era, businesses are inundated with vast amounts of data. The challenge? Navigating this intricate web efficiently. Octopai’s revolutionary support for Databricks, emphasizes real-time data lineage and unparalleled simplicity. Octopai’s support for Databricks is a game-changer. By emphasizing real-time data lineage and simplicity, we’re redefining how businesses interact with Databricks.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Shared Data Reporting: Deep Excel Functionality Meets Web-Based Dashboards

Jet Global

Finance teams are no strangers to pressure. But now more than ever, challenges from both outside and inside organizations are testing your resiliency. Inflation, economic uncertainty, and swiftly-changing regulations significantly impact finance professionals. Every organization has roadblocks like budgetary restraints, data limitations, and clunky, manual processes.