Mon.Jun 19, 2023

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Revamp Data Analysis: OpenAI, LangChain & LlamaIndex for Easy Extraction

Analytics Vidhya

Introduction OpenAI’s API, developed by OpenAI, provides access to some of the most advanced language models available today. By leveraging this API and using LangChain & LlamaIndex, developers can integrate the power of these models into their own applications, products, or services. With just a few lines of code, you can tap into the vast knowledge […] The post Revamp Data Analysis: OpenAI, LangChain & LlamaIndex for Easy Extraction appeared first on Analytics Vidhya.

Modeling 390
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DataKitchen in DBTA 100 2023: The Companies That Matter Most in Data

DataKitchen

The need to balance data safety with new data initiatives, deliver business value, and change company culture around data tops this year's list of data and analytics management challenges. To help bring new resources and innovation to light, each year, Database Trends and Applications magazine presents the DBTA 100, a list of forward-thinking companies seeking to expand what's possible with data for their customers.

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How Google Rates Content: Latest Updates

Analytics Vidhya

Google, the world’s leading search engine, has made significant strides in understanding and adapting to artificial intelligence (AI) technology. At the recent Google Search Central Live Tokyo 2023 event, Gary Illyes and other experts shared valuable insights into Google’s approach to AI-generated content. In this article, we will delve into Google’s policy on AI content […] The post How Google Rates Content: Latest Updates appeared first on Analytics Vidhya.

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DataKitchen DataOps TestGen ‘Mystery Box Full Of Data Errors’

DataKitchen

DataOps TestGen delivers simple, fast data quality test generation and execution. DataOps TestGen profiles your data and algorithmically generates dozens of data validations. Your Data Journey starts with verifying that you can trust your data and re-verifying it every time you refresh it in production.

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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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Power BI vs Tableau: Similarities and Differences

Analytics Vidhya

Efficient decision-making is the result of combining information, analysis, and effectiveness. That’s why businesses of all types and sizes are embracing data visualization, albeit often with a simplified approach. Power BI and Tableau, popular and user-friendly data visualization tools, help businesses organize large datasets. While both software are crucial for efficient data organization, comparing Power […] The post Power BI vs Tableau: Similarities and Differences appeared first

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Introducing The Five Pillars Of Data Journeys

DataKitchen

Introducing The Five Pillars Of Data Journeys “There are those who discover they can leave behind destructive reactions and become patient as the earth, unmoved by fires of anger or fear, unshaken as a pillar, unperturbed as a clear and quiet pool.” – Gautama Buddha When your data team is in crisis from errors in production, complaining customers, and uncaring data providers, we all wish we could be unshaken as the Buddha.

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Atlantic Health streamlines insurance authorization with intelligent automation

CIO Business Intelligence

When the COVID-19 pandemic started, Atlantic Health System, like other healthcare providers, found itself under enormous stress. In addition to dealing with patients suffering the effects of a new virus, healthcare providers had to contend with new care protocols, staffing issues, and supplies shortages spurred by the pandemic, all of which placed additional pressure on any existing friction in healthcare administration processes.

Insurance 105
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Grammy Awards Bans AI: Human Creators Take Center Stage

Analytics Vidhya

The Recording Academy, responsible for the prestigious Grammy Awards, has decided to ban artificial intelligence (AI) in the music industry. To preserve the essence of human creativity, this decision marks a significant turning point in the intersection of technology & art. Let’s delve into the details of this game-changing ruling and its implications for the […] The post Grammy Awards Bans AI: Human Creators Take Center Stage appeared first on Analytics Vidhya.

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Four Topics That Should Be Top of Mind for SAP Partners

Timo Elliott

I recently recorded a stream-of-consciousness video interview on the top topics that SAP Partners (and customers!) should be taking account of in the coming months and years. Here’s the recording and a transcript below: SAP Innovation Evangelist SAP on the top topics SAP Partners should be thinking about. Hello everyone, my name is Timo Elliott and I’m an Innovation Evangelist for SAP and there are four topics that I think should be top of mind for partners around the world.

Data Lake 105
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Samsung Embraces AI and Big Data, Revolutionizes Chipmaking Process

Analytics Vidhya

Samsung Electronics Co., the world’s leading memory chip manufacturer, is set to revolutionize its chipmaking process using cutting-edge artificial intelligence (AI) and big data technology. This initiative aims to boost productivity, refine product quality, and compete with its major foundry rival, Taiwan Semiconductor Manufacturing Co. With the Samsung Advanced Institute of Technology (SAIT) and the […] The post Samsung Embraces AI and Big Data, Revolutionizes Chipmaking Process ap

Big Data 346
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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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Huawei unveils four strategic directions for the future of finance

CIO Business Intelligence

Finance is poised to undergo a transformation, as Artificial Intelligence (AI) steps in to make real-time decisions using vast data sets. This vision was outlined by Jason Cao, CEO of Global Digital Finance at Huawei, during Huawei Intelligent Finance Summit 2023. Mr. Cao highlighted that globally, there will soon be 100 billion connections, and with those, an explosion of data to the zettabyte level.

Finance 98
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How to Grow Younger Using AI: New Anti-Aging Drug Discovered

Analytics Vidhya

In a breakthrough, AI algorithms have played a key role in identifying potential drugs that could combat aging and age-related conditions. This pioneering method has led researchers to a trio of chemicals that target faulty cells associated with various age-related conditions. Moreover, it is significantly more cost-effective than traditional screening methods and could change the […] The post How to Grow Younger Using AI: New Anti-Aging Drug Discovered appeared first on Analytics Vidhya.

Analytics 344
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DataKitchen DataOps TestGen Technical Product Overview

DataKitchen

DataOps TestGen Technical Product Overview

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Meta’s Voicebox: The AI That Speaks Every Language

Analytics Vidhya

In a groundbreaking development, Meta, the parent company of Facebook, has unveiled its latest generative artificial intelligence (AI) called Voicebox. Unlike traditional text-based AI models, Voicebox specializes in audio synthesis, allowing it to mimic speech patterns and generate natural-sounding audio clips. With the ability to read text in different languages and contribute to the immersive […] The post Meta’s Voicebox: The AI That Speaks Every Language appeared first on Analyti

Modeling 312
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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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How to Make Your AI Projects Successful: Insights From NVIDIA

Dataiku

In a recent fireside chat on understanding analytics and AI project successes and challenges, we were joined by Will Benton , principal product architect at NVIDIA , to double click into how organizations can clearly understand their most common AI project failure points, where they go off track, and how to prevent them from happening in the future.

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Reshoring: The risks of swinging the pendulum too far

IBM Big Data Hub

From the decades before the turn of the century until the global pandemic, great economic growth spread across the world, driving historic demand in commodities and consumer goods. But this economic growth, coupled with stringent labor laws, drove up labor costs. By sourcing materials and labor from countries with lower labor and manufacturing costs, businesses were able to capitalize on the economic boom, produce more goods and services, and minimize their costs.

Risk 88
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Best Practices for Data Catalog Implementation

Octopai

In an era where data is often referred to as the new oil, having a well-organized and easily accessible data catalog is no longer a luxury but a necessity as organizations deal with the deluge of too much data (data bloatedness) coming from every system and landscape. The job of data teams and data owners becomes challenging making sense of where data resides and where its origins are.

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What are Vector Databases and Why Are They Important for LLMs?

KDnuggets

Large language models (LLMs) currently have the AI world in a chokehold. It is essential to understand why vector databases are important to LLMs.

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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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Multi-tenancy Apache Kafka clusters in Amazon MSK with IAM access control and Kafka quotas – Part 2

AWS Big Data

Kafka quotas are integral to multi-tenant Kafka clusters. They prevent Kafka cluster performance from being negatively affected by poorly behaved applications overconsuming cluster resources. Furthermore, they enable the central streaming data platform to be operated as a multi-tenant platform and used by downstream and upstream applications across multiple business lines.

Metrics 72
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Using RAPIDS cuDF to Leverage GPU in Feature Engineering

KDnuggets

Improving Performance by Replacing Pandas with cuDF in Creating Data Frames and Engineering Features and Integrating with Google Colab.

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Towards a New Understanding of ‘Enterprise Reporting’

Paris Technologies

It’s time to take another good look at Enterprise Reporting. Wait. When is it not a time to take a clear-eyed, critical view of what a company does for Enterprise Reporting? After all, how many firms are fully satisfied—feels fully competent—with their reporting processes across the enterprise?

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Calculate Computational Efficiency of Deep Learning Models with FLOPs and MACs

KDnuggets

In this article we will learn about its definition, differences and how to calculate FLOPs and MACs using Python packages.

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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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What Is An Operational Report? A Complete Guide

FineReport

Operational reports have the potential to greatly enhance business performance through the utilization of data-driven insights. These reports offer a structured and comprehensible representation of data, enabling a clearer understanding of complex issues that might otherwise remain elusive. They play a vital role in assisting executives in recognizing significant trends and making prompt strategic decisions.

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Building a Business that Fits Your Family: Disrupt Your Money Podcast

Depict Data Studio

Wake up without an alarm… Exercise, eat breakfast with the family, work on energizing projects for a few hours… … and then call it a day. Take the kids to gymnastics. Volunteer at field day. Take off the entire summer for bucket list adventures. Months-long road trips around the United States. Cruises through Europe. Passports full of stamps. Meg K.

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Ingest, transform, and deliver events published by Amazon Security Lake to Amazon OpenSearch Service

AWS Big Data

With the recent introduction of Amazon Security Lake , it has never been simpler to access all your security-related data in one place. Whether it’s findings from AWS Security Hub , DNS query data from Amazon Route 53 , network events such as VPC Flow Logs , or third-party integrations provided by partners such as Barracuda Email Protection , Cisco Firepower Management Center , or Okta identity logs , you now have a centralized environment in which you can correlate events and findings using a b

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Optimize queries using dataset parameters in Amazon QuickSight

AWS Big Data

Amazon QuickSight powers data-driven organizations with unified business intelligence (BI) at hyperscale. With QuickSight, all users can meet varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, embedded analytics and natural language queries. We have introduced dataset parameters , a new kind of parameter in QuickSight that can help you create interactive experiences in your dashboards.

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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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Multi-tenancy Apache Kafka clusters in Amazon MSK with IAM access control and Kafka Quotas – Part 1

AWS Big Data

With Amazon Managed Streaming for Apache Kafka (Amazon MSK), you can build and run applications that use Apache Kafka to process streaming data. To process streaming data, organizations either use multiple Kafka clusters based on their application groupings, usage scenarios, compliance requirements, and other factors, or a dedicated Kafka cluster for the entire organization.

Metrics 65