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30 Basic Excel Formulas for Everyone

Analytics Vidhya

Introduction Developing Excel skills is critical in the working profession, regardless of the industry. An understanding of Excel formulas is vital if you are to improve on ways, compile information, and make sound recommendations. Now, consider the list of 30 basic Excel formulas everyone should know. Overview: What is an Excel Formula? An Excel formula is […] The post 30 Basic Excel Formulas for Everyone appeared first on Analytics Vidhya.

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Unauthorized AI is eating your company data, thanks to your employees

CIO Business Intelligence

Legal documents, HR data, source code, and other sensitive corporate information is being fed into unlicensed, publicly available AIs at a swift rate, leaving IT leaders with a mounting shadow AI mess.

IT 126
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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 315
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5 Machine Learning Models Explained in 5 Minutes

KDnuggets

Learn about the most popular machine learning models, understand how they work, and discover the best free courses to master them.

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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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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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Databricks Follows Cloudera by Adopting Iceberg, While Snowflake Mulls Open Source Approach

Cloudera

A constant flow of breaking news from the data lakehouse space is making notable tech headlines this week. On Tuesday, Databricks announced that it will acquire Tabular, a data management company founded by the creators of Apache Iceberg, Ryan Blue, Daniel Weeks, and Jason Reidfor. The deal was for an unconfirmed sum, but some reports suggest that amount to be between $1B and $2B (and allegedly outbidding Snowflake).

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Complaints in EU challenge Meta’s plans to utilize personal data for AI

CIO Business Intelligence

Meta is facing renewed scrutiny over privacy concerns as the privacy advocacy group NOYB has lodged complaints in 11 countries against the company’s plans to use personal data for training its AI models. NOYB has called on national regulators to take immediate action against Meta in 10 European Union member states and in Norway, arguing that changes to the company’s privacy policy due to enter effect on June 26 would permit the use of extensive personal data, including posts, private images, and

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Beginner’s Guide to Building LLM Apps with Python

KDnuggets

In this article, you will be impacted by the knowledge you need to start building LLM apps with Python programming language.

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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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Non-contiguous Cartograms

The Data Visualisation Catalogue

A Non-contiguous Cartogram is a type of Cartogram where the geographic regions (such as countries, states, etc.) are resized based on a numerical variable (e.g. population, GDP, etc.), but their shapes are preserved. Also, the region boundaries are not connected or contiguous with their neighbouring regions. In a Non-contiguous Cartogram, each geographic region is scaled in proportion to the data value being represented, but the scaled areas are not constrained to fit together like a jigsaw puzz

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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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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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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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Monitor Your File System With Python’s Watchdog

KDnuggets

Track your file system for changes, such as additions, deletions, movements, or modifications, using Python's WatchDog.

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Delivering Effective AI for Telecom Companies: Trusted, Open, Hybrid

Cloudera

It’s not a surprise that in today’s challenging economic landscape, rising costs pose a significant threat to the telecommunications industry. Consider that in 2022, Bain Capital was predicting that Telcos would grapple with increased personnel and escalating operating costs due to inflation. And here we are. To combat these challenges, telcos must proactively seek opportunities to streamline operations and optimize revenue streams.

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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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Embrace Reinvention To Drive Growth: Five Key Takeaways from Forrester’s B2B Summit North America 2024

Srividya Sridharan

It’s hard to believe that Forrester’s B2B Summit North America was almost a month ago. But wow, what an incredible week it was! The energy was palpable, and the momentum is set to carry B2B leaders and their organizations forward to growth and reinvention.

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Different Usage of Python map() Function

Analytics Vidhya

Introduction In this article, we will delve into the map function in Python, a powerful tool for applying functions to iterable data structures. We’ll start with its basic usage and syntax, followed by using lambda functions for concise operations. Next, we’ll explore how to apply functions to multiple iterables simultaneously, handle different length iterables, and […] The post Different Usage of Python map() Function appeared first on Analytics Vidhya.

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Strategic planning: How CIOs can build the best possible future

CIO Business Intelligence

Organizations erroneously believe that 100% of the value of strategic planning for the future lies in determining “what comes next” or putting a stake in the ground regarding “where we want to be.” Most of the real value associated with strategic planning for the future emerges from a nondelusional articulation of the current situation. Just like with Uber or Google Maps, if you want to get where you are going, you have to be very specific about where you are starting from.

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10 Essential DevOps Tools Every Beginner Should Learn

KDnuggets

Popular tools for versioning, CI/CD, testing, automation, containerization, workflow orchestration, cloud, IT management, and monitoring.

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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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Modernize your data observability with Amazon OpenSearch Service zero-ETL integration with Amazon S3

AWS Big Data

We are excited to announce the general availability of Amazon OpenSearch Service zero-ETL integration with Amazon Simple Storage Service (Amazon S3) for domains running 2.13 and above. The integration is new way for customers to query operational logs in Amazon S3 and Amazon S3-based data lakes without needing to switch between tools to analyze operational data.

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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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What is a Generative Model?

Analytics Vidhya

Introduction Generative models have revolutionized the landscape of AI by enabling the creation of new, realistic data instances based on training data distributions. These models are unlike their discriminative counterparts, which focus on classifying data. Instead, they delve into how data is generated, capturing the underlying distributions and patterns.

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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

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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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Beginner’s Guide to Machine Learning with Python

KDnuggets

Master the Fundamentals of Predictive Modeling with Python: An In-Depth Guide to Machine Learning Algorithms and Sci-kit Learn Implementation.

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Natural Language Processing Analytics for Business Users!

Smarten

Clickless Analytics in Augmented Analytics Solution Supports Users with Simple Searches and Results! Every consumer and business user loves the new world of search and query. Google-type searches offer the ability to ask a question in simple form, and receive an answer you can understand. You don’t have to be a data scientist, a rocket scientist, a statistician or a data guru to perform the search or to understand the results!

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The Award Winning Formula: How Cloudera Empowered OCBC With Trusted Data To Unlock Business Value from AI

Cloudera

Recently, Cloudera, alongside OCBC, were named winners in the“ Best Big Data and Analytics Infrastructure Implementation ” category at The Asian Banker’s Financial Technology Innovation Awards 2024. This recognition underscores the importance of trusted data when building AI and generative AI (GenAI) models and serves as a testament to the impact that reliable data can have in real world use cases.

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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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The Key to Sustainable Energy Optimization: A Data-Driven Approach for Manufacturing

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. ♻️ Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. 📊 Join us for a practical webinar hosted by Kevin Kai Wong of Emergent Ene

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Don’t fall into the AI buzzwords trap when evaluating vendors

CIO Business Intelligence

No one would dispute that artificial intelligence (AI) is reimaging how businesses and entire industries operate. Yet, as the hype around AI and machine learning intensifies, so does the number of AI buzzwords designed lure and distract. When having discussions with AI vendors, it’s easy to be enticed by terms such as “sentient AI”, “large language models”, “virtual copilot”, and others.

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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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Unveiling the Top 10 Data Visualization Companies of 2024

FineReport

In 2024, data visualization companies play a pivotal role in transforming complex data into captivating narratives. The selection of top companies is based on cutting-edge innovation and market impact , ensuring the delivery of unparalleled services. This blog provides an insightful exploration of the leading entities shaping the data visualization landscape.

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Data Quality and Generative AI: Key Insights and Recommendations

Dataiku

Earlier this month, Kurt Muehmel was joined by guest speaker Michele Goetz from Forrester to discuss the topic of data quality in the age of Generative AI.

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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.