Wed.Aug 16, 2023

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Google Chrome Now Displays AI-Powered Article Summaries for Effortless Reading

Analytics Vidhya

Google is once again at the forefront of innovation with its AI-powered Search Generative Experience (SGE). The tech giant has introduced an exciting feature to make web reading more efficient on the Google Chrome browser. With the new “SGE while browsing” feature, Google aims to provide users with concise summaries of the articles they’re reading. […] The post Google Chrome Now Displays AI-Powered Article Summaries for Effortless Reading appeared first on Analytics Vidhy

Analytics 271
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LangChain Cheat Sheet

KDnuggets

LangChain simplifies building AI assistants with large language models, providing an intuitive API, memory capabilities, access to external tools, the ability to chain LLM actions, and prompt templating. Check out our newest cheat sheet to get up and running now.

Modeling 102
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What is Azure Data Factory (ADF)? Features and Applications

Analytics Vidhya

Introduction Integrating data proficiently is crucial in today’s era of data-driven decision-making. Azure Data Factory (ADF) is a pivotal solution for orchestrating this integration. This article unveils the core concepts of ADF and its role in streamlining data workflows, enabling beginners to grasp its significance in modern data management strategies.

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How Svevia connects roads, risk, and refuse through the cloud

CIO Business Intelligence

Nearly 15 years ago, the then Vägverket Produktion was incorporated so road maintenance on Sweden’s national road network could be put on the competitive open market. Today, state-owned Svevia is the country’s largest company in the operation and maintenance of roads and bridges, and manages over 50% of the road network yet, just like in the construction industry, it’s been relatively late to digitization.

Risk 98
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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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AWS vs Azure: The Ultimate Cloud Face-Off

Analytics Vidhya

Amazon Web Services and Microsoft Azure are the two titans in cloud computing. The competition between these two industry leaders has sparked the “cloud war.” This article delves into the comprehensive comparison of AWS vs Azure, examining their features, advantages, disadvantages, job opportunities, and more. What is AWS? Amazon Web Services (AWS) is a feature-rich […] The post AWS vs Azure: The Ultimate Cloud Face-Off appeared first on Analytics Vidhya.

Analytics 270
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KDnuggets News, August 16: Use ChatGPT to Convert Text into a PowerPoint Presentation • Best Python Tools for Building Generative AI Applications Cheat Sheet

KDnuggets

How to Use ChatGPT to Convert Text into a PowerPoint Presentation • Best Python Tools for Building Generative AI Applications Cheat Sheet • Data Scientists Need to Specialize to Survive the Tech Winter • Python Vector Databases and Vector Indexes: Architecting LLM Apps • How To Speed Up SQL Queries Using Indexes [Python Edition]

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Introducing AWS Glue crawler and create table support for Apache Iceberg format

AWS Big Data

Apache Iceberg is an open table format for large datasets in Amazon Simple Storage Service (Amazon S3) and provides fast query performance over large tables, atomic commits, concurrent writes, and SQL-compatible table evolution. Iceberg has become very popular for its support for ACID transactions in data lakes and features like schema and partition evolution, time travel, and rollback.

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How AI is Helping Customers Shop Better on Amazon

Analytics Vidhya

Customer reviews have become the cornerstone of online shopping, empowering buyers with valuable insights before purchasing. Amazon, the e-commerce trailblazer, has consistently evolved its customer reviews experience. From introducing the concept of product opinions in 1995 to implementing advanced AI techniques, Amazon’s commitment to enhancing the shopping journey continues to shape the way we make […] The post How AI is Helping Customers Shop Better on Amazon appeared first on An

Analytics 266
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Derive operational insights from application logs using Automated Data Analytics on AWS

AWS Big Data

Automated Data Analytics (ADA) on AWS is an AWS solution that enables you to derive meaningful insights from data in a matter of minutes through a simple and intuitive user interface. ADA offers an AWS-native data analytics platform that is ready to use out of the box by data analysts for a variety of use cases. With ADA, teams can ingest, transform, govern, and query diverse datasets from a range of data sources without requiring specialist technical skills.

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5 Ways You Can Use ChatGPT’s Code Interpreter For Data Science

KDnuggets

With a Code Interpreter, ChatGPT can now write and execute Python code to automate complex data tasks and generate visualization.

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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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New Accreditations for Cloudera Partners

Cloudera

Remember when we announced our redesigned partner program Cloudera Partner Network (CPN) last year? Our goal was to create a more competency-based approach and more comprehensive tools and support to help partners guide their customers adopting modern data strategies based on the Cloudera hybrid data platform. In addition, CPN helps our partners go to market faster, and provides industry-leading incentives and promotions aligned with partner business and sales models.

Sales 64
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6 considerations to take when approximating cloud spend

IBM Big Data Hub

Cloud computing can add a collective $3 trillion to organizations that harness it correctly, according to McKinsey. It is poised to transform businesses and industries, revolutionize how employees and other stakeholders collaborate, and drive digital transformation initiatives. Many organizations have spent the past few years investing heavily in the cloud.

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Generative AI Use Cases in Supply Chain

Dataiku

From demand forecasting to inventory management, delivery dock optimization to warehouse management, classic machine learning has already transformed the supply chain. In the last five years, organizations have leveraged the technology to make more data-driven decisions. This includes streamlining processes as well as unlocking new opportunities for growth.

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How continuous automated red teaming (CART) can help improve your cybersecurity posture

IBM Big Data Hub

It is not a matter of if an organization will be compromised, but when. An adept, well-resourced and experienced attacker could very well be your worst cyberthreat nightmare. Fortunately, if your organization engages a red team, an ethical hacker could also be your best friend. Conducting red team testing is the most realistic way to validate your defenses, find vulnerabilities and improve your organization’s cybersecurity posture.

Testing 61
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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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Introducing the GenAI models you haven’t heard of yet

CIO Business Intelligence

Ever since OpenAI’s ChatGPT set adoption records last winter, companies of all sizes have been trying to figure out how to put some of that sweet generative AI magic to use. In fact, according to Lucidworks’ global generative AI benchmark study released August 10, 96% of executives and managers involved in AI decision processes are actively prioritizing generative AI investments, and 93% of companies plan to increase their AI spend in the coming year.

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IBM’s dedication to responsible computing

IBM Big Data Hub

In response to concerns faced by corporations about the impact of technology on our environment, IBM founded the Responsible.Computing() movement, creating a membership consortium with Dell that is managed by the Object Management Group. Customers and partners expect responsible corporate policies and practices, and they also build loyalty with employees.

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Implement a serverless CDC process with Apache Iceberg using Amazon DynamoDB and Amazon Athena

AWS Big Data

Apache Iceberg is an open table format for very large analytic datasets. Iceberg manages large collections of files as tables, and it supports modern analytical data lake operations such as record-level insert, update, delete, and time travel queries. The Iceberg specification allows seamless table evolution such as schema and partition evolution, and its design is optimized for usage on Amazon Simple Storage Service (Amazon S3).

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Exploring the risks and alternatives of ChatGPT: Paving a path to trustworthy AI

IBM Big Data Hub

You are making a smoothie for your friends to enjoy. Already mixed with assorted fruit and yogurt, your friend Ruchir arrives with a ripe apple and gives it to you to complete your refreshing masterpiece. Now complete, you can almost still smell the hint of apple as the drink is being poured. Before your first sip, Ruchir says, “I’ve changed my mind, I need to leave and would like my apple back.” You reply, “Ah, excuse me but that’s just not possible.” We̵

Risk 60
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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.