Thu.Oct 19, 2023

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A Comprehensive Guide to Using Chains in Langchain

Analytics Vidhya

Introduction Step into the forefront of language processing! In a realm where language is an essential link between humanity and technology, the strides made in Natural Language Processing have unlocked some extraordinary heights. Within this progress lies the groundbreaking Large Language Model, a transformative force reshaping our interactions with text-based information.

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Inside Walmart’s generative AI journey

CIO Business Intelligence

“Our people make the difference” — a common catchphrase of Walmart founder Sam Walton — still guides the company’s path forward as it ventures into the future with generative AI. The multinational retail company positions itself as a “people-led, tech-powered” one, and sitting squarely at that intersection is generative AI, the power of which most leaders believe is fully realized when the strengths of people and technology are combined.

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LlamaIndex vs LangChain: A Comparative Analysis

Analytics Vidhya

Introduction When it comes to Large Language Models (LLMs), such as GPT-3 and beyond, researchers and developers are constantly seeking new ways to enhance their capabilities. Two prominent tools, LlamaIndex and LangChain, have emerged as powerful options for improving the interaction and functionality of these models. In this article, we will explore the features and […] The post LlamaIndex vs LangChain: A Comparative Analysis appeared first on Analytics Vidhya.

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5 modern challenges in data integration and how CIOs can overcome them

CIO Business Intelligence

By the time you finish reading this post, an additional 27.3 million terabytes of data will be generated by humans over the web and across devices. That’s just one of the many ways to define the uncontrollable volume of data and the challenge it poses for enterprises if they don’t adhere to advanced integration tech. As well as why data in silos is a threat that demands a separate discussion.

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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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How to Master Resume Ranking with Langchain?

Analytics Vidhya

Introduction In the ever-evolving job market, employers often find themselves overwhelmed with a deluge of resumes for every job opening. The process of sifting through these resumes to identify the most qualified candidates can be time-consuming and daunting. To address this challenge, we will delve into the creation of a sophisticated resume ranking with Langchain, […] The post How to Master Resume Ranking with Langchain?

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Semantic Layer: The Backbone of AI-powered Data Experiences

KDnuggets

Looking to understand the semantic layer and how it can improve the AI-powered data experience? Read more to learn why a semantic layer can be the backbone of LLMs and reduce hallucinations.

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Unleashing the power of integration to scale industrial equipment sales, manufacturing, and service global channels

CIO Business Intelligence

Spoiler alert! Get ready for an exhilarating adventure as we unravel the incredible story of GEA Group , a global leader in industrial engineering systems for the food, beverage, and pharmaceutical sectors. Prepare to be amazed as we dive into how GEA transformed their sales, manufacturing, and service channels by harnessing the power of integration and innovation!

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Gradient Descent: The Mountain Trekker’s Guide to Optimization with Mathematics

KDnuggets

Gradient descent is an optimization technique used to minimise errors in machine learning models. By iteratively adjusting parameters in the steepest direction of decrease, it seeks the lowest error value.

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The Role of IT Consulting for Data-Driven Businesses

Smart Data Collective

Many businesses use big data technology to bolster efficiency. One study from Zappia found that 97.2% of companies say that they use data analytics in some capacity. While only 24% call themselves data-driven, the figure is growing significantly. Big data is changing the business models of many organizations. However, many companies are still struggling to figure out how to utilize data analytics and AI properly.

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Empowering farmers across the digital divide in Malawi with OpenHarvest

IBM Big Data Hub

The landlocked country of Malawi, located in southeastern Africa, is home to rich, arable land and a subtropical climate suitable for farming. As a result, over 80% of the population is employed in agriculture, and their livelihood revolves around alternating rainy and dry seasons that dictate how the year’s planting, growing and harvesting will unfold.

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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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Top Companies in India to Consider for Employment

KDnuggets

If you’re looking for a job, want to shift careers, or start a new chapter and currently reside in India. Check out these top 7 companies to consider for employment in India for 2023/24.

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Make Music Count embeds watsonx to make perfect music with math  

IBM Big Data Hub

Over the past ten years, I’ve been on a journey to create an interactive, patented curriculum that combines the power of math with the joy of music. In our program Make Music Count , students from elementary to high school get hands-on experience solving math equations while learning how to play the piano. Since launching, I’ve seen the need, desire and impact: Make Music Count is in over 400 schools with 60,000 registered students and 20,000+ downloads on iOS and Android devices.

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More Tips for Successfully Navigating Beginner Data Science Job Interviews

KDnuggets

Data science beginners, here are some more to help you ace the data science interview!

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AI-powered Solutions to Personalized Healthcare Using Knowledge Graphs: An Interview with Remzi Celebi

Ontotext

AIDAVA (short for AI-powered Data Curation & Publishing Virtual Assistant) is a Horizon Europe project, which brings together 14 partners from 9 EU countries. Their shared goal is to maximize automation in the curation and publishing of heterogeneous and scattered personal health data with the support of the patients while minimizing their input.

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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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Analysts: Use Dataiku to Minimize Friction in Your Work

Dataiku

At Dataiku, we talk a lot about how analytics and IT leaders can remove friction from their MLOps processes in order to save ML engineers’ time, increase efficiency, and avoid duplicate work. But it’s not just these stakeholders that have friction points that lead to lost time, lower levels of efficiency, or a lack of reusability.

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The Impact of AI with @sung.kim.mw: TDI 28

Data Science 101

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. Note: The views in these interviews are personal views and do not represent the interviewee’s employer. “As AI proliferates, people will seek non-AI content to regain a sense of humanity.” Sung Kim (@sung.kim.mw) on Threads Today we have @sung.kim.mw , for regular life, what is going to

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Intuitive Analytics for Tally ERP: Affordable User Value!

Smarten

Integrate Analytics with Tally ERP for Affordable, Intuitive Analytics Your Users Will Love! If you have a small or a medium-sized business, you definitely need an accounting and financial management system. These systems are the lifeline for data entry and reporting and allow the enterprise to produce statutory and compliance reports. They also allow your team members to check data, understand historical results and plan for the future.

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Load data incrementally from transactional data lakes to data warehouses

AWS Big Data

Data lakes and data warehouses are two of the most important data storage and management technologies in a modern data architecture. Data lakes store all of an organization’s data, regardless of its format or structure. An open table format such as Apache Hudi , Delta Lake , or Apache Iceberg is widely used to build data lakes on Amazon Simple Storage Service (Amazon S3) in a transactionally consistent manner for use cases including record-level upserts and deletes, change data capture (CDC), ti

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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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13 power tips for Microsoft Power BI

CIO Business Intelligence

Power BI is Microsoft’s interactive data visualization and analytics tool for business intelligence (BI). With Power BI, you can pull data from almost any data source and create dashboards that track the metrics you care about the most. You can drill into data, create a variety of visualizations, and (literally) ask questions about it using AI. Power BI’s rich reports or dashboards can be embedded into reporting portals you already use.

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Revolutionizing budgeting and planning processes for a retail giant

IBM Big Data Hub

Landmark Retail is one of the largest omnichannel retailers across the Middle East and Northern Africa (MENA), India and Southeast Asia (SEA). It is a division of Landmark Group, a well-known multinational retail and hospitality conglomerate headquartered in Dubai. The group’s journey started as a single store in Bahrain five decades ago. Today, Landmark Group has evolved into a powerhouse of 2200 stores across 21 countries.

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Four Ways Telcos Can Realize Data-Driven Transformation

Cloudera

Telecommunications companies are currently executing on ambitious digital transformation, network transformation, and AI-driven automation efforts. While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

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SmugMug’s durable search pipelines for Amazon OpenSearch Service

AWS Big Data

SmugMug operates two very large online photo platforms, SmugMug and Flickr , enabling more than 100 million customers to safely store, search, share, and sell tens of billions of photos. Customers uploading and searching through decades of photos helped turn search into critical infrastructure, growing steadily since SmugMug first used Amazon CloudSearch in 2012, followed by Amazon OpenSearch Service since 2018, after reaching billions of documents and terabytes of search storage.

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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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Data Mesh: Challenges and Solutions

Data Virtualization

Reading Time: 4 minutes Organizations are constantly striving to harness the power of their data assets to make informed decisions and gain a competitive edge. This is why data mesh has emerged as a revolutionary approach to managing and scaling data infrastructure. Data mesh. The post Data Mesh: Challenges and Solutions appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.