Sat.Jun 01, 2024 - Fri.Jun 07, 2024

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Building RAG Application using Cohere Command-R and Rerank – Part 2

Analytics Vidhya

Introduction In the previous article, we experimented with Cohere’s Command-R model and Rerank model to generate responses and rerank doc sources. We have implemented a simple RAG pipeline using them to generate responses to user’s questions on ingested documents. However, what we have implemented is very simple and unsuitable for the general user, as it […] The post Building RAG Application using Cohere Command-R and Rerank – Part 2 appeared first on Analytics Vidhya.

Modeling 209
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Cloud ROI: Getting innovation economics right with FinOps

CIO Business Intelligence

Is the cloud a good investment? Does it deliver strong returns? How can we invest responsibly in the cloud? These are questions IT and finance leaders are wrestling with today because the cloud has left many companies in a balancing act—caught somewhere between the need for cloud innovation and the fiscal responsibility to ensure they are investing wisely, getting full value out of the cloud.

ROI 97
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How To Create Custom Context Managers in Python

KDnuggets

Context managers in Python help you manage resources efficiently. Learn how to write your own custom context managers.

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Cloudera Introduces AI Inference Service With NVIDIA NIM

Cloudera

We are excited to announce a tech preview of Cloudera AI Inference service powered by the full-stack NVIDIA accelerated computing platform, which includes NVIDIA NIM inference microservices , part of the NVIDIA AI Enterprise software platform for generative AI. Cloudera’s AI Inference service uniquely streamlines the deployment and management of large-scale AI models, delivering high performance and efficiency while maintaining strict privacy and security standards.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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What is CONTAINS in SQL?

Analytics Vidhya

Introduction In SQL and database management, efficiently querying and retrieving data is paramount. Among the various tools and functions available, the CONTAINS function stands out for its capability to perform full-text searches within text columns. Unlike basic string functions, CONTAINS enables complex queries and patterns, making it a powerful asset for developers and database administrators. […] The post What is CONTAINS in SQL?

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AI + FinOps: How to automate cloud cost optimization

CIO Business Intelligence

Hyper-automation to reduce your cloud costs. It’s not on the horizon – it’s already here. Artificial intelligence is being infused into FinOps practices and cloud cost management platforms. The result? Fewer manual tasks and more cost savings. Research shows companies that activate their FinOps model using AI are 53% more likely to achieve a cost savings of greater than 20% — compared to less than 10% without AI.

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5 Ways to Access GPT-4o for Free

KDnuggets

Experience GPT-4o, the ultimate multimodal AI for all your work-related tasks.

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A Guide to Evaluate RAG Pipelines with LlamaIndex and TRULens

Analytics Vidhya

Introduction Building and optimizing Retrieval-Augmented Generation (RAG) pipelines has been a rewarding experience. Combining retrieval mechanisms with language models to create contextually aware responses is fascinating. Over the past few months, I’ve fine-tuned my RAG pipeline and learned that effective evaluation and continuous improvement are crucial.

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Getting infrastructure right for generative AI

CIO Business Intelligence

Facts, it has been said, are stubborn things. For generative AI, a stubborn fact is that it consumes very large quantities of compute cycles, data storage, network bandwidth, electrical power, and air conditioning. As CIOs respond to corporate mandates to “just do something” with genAI, many are launching cloud-based or on-premises initiatives. But while the payback promised by many genAI projects is nebulous, the costs of the infrastructure to run them is finite, and too often, unacceptably hi

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Streamlining digital commerce: Integrating IBM API Connect with ONDC 

IBM Big Data Hub

In the dynamic landscape of digital commerce, seamless integration and efficient communication drive the success of buyers, sellers and logistics providers. The Open Network for Digital Commerce (ONDC) platform stands as a revolutionary initiative to streamline the digital commerce ecosystem in India. When coupled with the robust capabilities of IBM API Connect®, this integration presents a game-changing opportunity for buyers, sellers and logistics partners to thrive in the digital marketp

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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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5 Reasons You Need to Add Atlas to Microsoft Dynamics

Jet Global

Originally created in the 1890s, the Swiss army knife was a logical solution to officers’ need to be able to repair their weapons, open their canned food, and cut things as needed. Since then, simple items that offer multiple solutions to achieve a goal are often referred to as being the Swiss army knife of their kind. If that’s the case, then Atlas for Microsoft Dynamics just might be the Swiss army knife of Microsoft Dynamics data: Atlas solves data integration, operational reporting, and data

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Transforming Customer Engagement with Generative AI

Analytics Vidhya

It was Bill Gates who said, “Every day we’re saying, ‘How can we keep this customer happy? How can we get ahead in innovation by doing this?… because if we don’t, somebody else will.” Truer words have never been spoken. But providing excellent customer service consistently is easier said than done. The realities are often […] The post Transforming Customer Engagement with Generative AI appeared first on Analytics Vidhya.

Analytics 184
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IT leaders’ AI talent needs hinge on reskilling

CIO Business Intelligence

CIOs and HR managers are changing their equations on hiring and training, with a bigger focus on reskilling current employees to make good on the promise of AI technologies. That shift is in no small part due to an AI talent market increasingly stacked against them. With AI talent in high demand, the shortage of AI technicians available will only get worse, some hiring experts say, as job postings for workers with AI expertise are growing 3.5 times faster than for all jobs, according to a recent

IT 78
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How to avoid startups with poor development processes

Data Science and Beyond

Questions that prospective data specialists and engineers should ask about development processes before accepting a startup role.

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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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Prompt Engineer: Skills, Learning Roadmap, and Salary

KDnuggets

Learn about the growing demand for prompt engineers in the year 2024.

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How to Build a Resilient Application Using LlamaIndex?

Analytics Vidhya

Introduction LlamaIndex is a popular framework for building LLM applications. To build a robust application, we need to know how to count the embedding tokens before making them, ensure there are no duplicates in the vector store, get source data for the generated response, and many other things. This article will review the steps to […] The post How to Build a Resilient Application Using LlamaIndex?

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Cloud cost allocation: How one firm uses FinOps to do chargebacks right

CIO Business Intelligence

Cloud computing and cloud software are some of the biggest IT trends of the decade, but they can wreak havoc on IT financial analysts trying to track assets, control and predict costs, or charge cloud service costs back to the departments that benefit from them. With a growing list of cloud applications and infrastructure instances, tracing invoices and their associated owners and users can be time-consuming work lost in the details of mapping how and where services are used across the organizat

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Optimize write throughput for Amazon Kinesis Data Streams

AWS Big Data

Amazon Kinesis Data Streams is used by many customers to capture, process, and store data streams at any scale. This level of unparalleled scale is enabled by dividing each data stream into multiple shards. Each shard in a stream has a 1 Mbps or 1,000 records per second write throughput limit. Whether your data streaming application is collecting clickstream data from a web application or recording telemetry data from billions of Internet of Things (IoT) devices, streaming applications are highl

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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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Field programmable gate arrays (FPGAs) vs. microcontrollers: What’s the difference?

IBM Big Data Hub

Field programmable gate arrays (FPGAs) and microcontroller units (MCUs) are two types of commonly compared integrated circuits (ICs) that are typically used in embedded systems and digital design. Both FPGAs and microcontrollers can be thought of as “small computers” that can be integrated into devices and larger systems. As processors, the primary difference between FPGAs and microcontrollers comes down to programmability and processing capabilities.

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What is an Algorithm?

Analytics Vidhya

Introduction This article will provide you with a thorough understanding of algorithms, which are necessary steps in problem solving and processing. We’ll explore the principles of algorithms, the different kinds of them, and the wide range of uses they have in disciplines like machine learning, data science, and daily life. Algorithms are integral to automating […] The post What is an Algorithm?

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Las necesidades de talento en IA de los responsables de TI pasan por el ‘reskilling’

CIO Business Intelligence

Los directores de Sistemas de la Información (CIO, por sus siglas en inglés) y los directores de Recursos Humanos están cambiando sus ecuaciones en materia de contratación y formación, centrándose en mayor medida en la recapacitación de los empleados actuales para cumplir la promesa de las tecnologías de inteligencia artificial (IA). Este cambio se debe en gran parte a que el mercado de talentos de IA está cada vez más en su contra.

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Integrate Tableau and Okta with Amazon Redshift using AWS IAM Identity Center

AWS Big Data

This blog post is co-written with Sid Wray and Jake Koskela from Salesforce, and Adiascar Cisneros from Tableau. Amazon Redshift is a fast, scalable cloud data warehouse built to serve workloads at any scale. With Amazon Redshift as your data warehouse, you can run complex queries using sophisticated query optimization to quickly deliver results to Tableau , which offers a comprehensive set of capabilities and connectivity options for analysts to efficiently prepare, discover, and share insights

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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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Types of central processing units (CPUs)

IBM Big Data Hub

What is a CPU? The central processing unit (CPU) is the computer’s brain. It handles the assignment and processing of tasks and manages operational functions that all types of computers use. CPU types are designated according to the kind of chip that they use for processing data. There’s a wide variety of processors and microprocessors available, with new powerhouse processors always in development.

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Memory Profiling in Python

Analytics Vidhya

Introduction Creating high-performing and efficient apps requires optimizing memory utilization in the present software development environment. Memory profiling is an efficient technique for accomplishing this. Memory profiling examines a program’s memory usage and finds memory-intensive code segments, possible memory leaks, and optimization possibilities.

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Telefónica Tech acelera su negocio de IA para empresas con 10 centros especializados

CIO Business Intelligence

La división de negocios digitales de Telefónica, Telefónica Tech, sigue reforzando sus capacidades en inteligencia artificial (IA) para ayudar a las organizaciones a tomar decisiones basándose en datos. El propósito no es otro que permitirles construir negocios más eficientes y resilientes. En la actualidad, cuenta con equipos especializados en IA distribuidos en torno a diez centros globales para proporcionar a los clientes un servicio adaptado a sus necesidades locales y consolidarse como soci

IoT 64
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Best Practices for Your Project Reporting Toolbox

Jet Global

The complexity and variability of project-based businesses represent distinct challenges for finance and accounting teams. Costing, procurement, subcontractor management, and labor combine to create a level of intricacy that businesses in other sectors don’t have to contend with. How do you navigate the complexity of your project-based financial reporting?

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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 Trim Strings in Python?

Analytics Vidhya

Introduction The fundamentals of trimming strings in Python with the three potent functions.strip(),lstrip(), and.rstrip() are covered in this article. With these techniques, you can quickly and effectively eliminate specified characters and whitespace from the start and finish of strings. Whether you’re cleaning up your strings by deleting unnecessary spaces or removing characters […] The post How to Trim Strings in Python?

Analytics 172
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What is Shell?

Analytics Vidhya

Introduction The shell serves as an essential user-operating system interface in the wide world of computers. The shell gives users exceptional efficiency and control over executing commands, running scripts, and managing system activities via a graphical user interface (GUI) or a command-line interface (CLI). This essay explores the many facets of shells, particularly emphasizing the […] The post What is Shell?

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Data Integration: Strategies for Efficient ETL Processes

Analytics Vidhya

Introduction In today’s data-driven landscape, businesses must integrate data from various sources to derive actionable insights and make informed decisions. This crucial process, called Extract, Transform, Load (ETL), involves extracting data from multiple origins, transforming it into a consistent format, and loading it into a target system for analysis.

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Master Advanced Prompt Engineering with LangChain for Context-Aware Language Models

Analytics Vidhya

Introduction Prompt engineering has become pivotal in leveraging Large Language models (LLMs) for diverse applications. As you all know, basic prompt engineering covers fundamental techniques. However, advancing to more sophisticated methods allows us to create highly effective, context-aware, and robust language models. This article will delve into multiple advanced prompt engineering techniques using LangChain.

Modeling 184
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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.