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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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 103
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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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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

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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.

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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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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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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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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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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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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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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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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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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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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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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—

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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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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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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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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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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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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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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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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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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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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.

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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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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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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.