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10 Innovative Uses of Meta AI for Everyday Tasks

Analytics Vidhya

Introduction Meta AI provides a wide array of functions designed to enhance communication, efficiency, and creativity across various fields. These functions range from answering queries and generating text to translating languages and creating images. This article highlights 10 uses of Meta AI, showcasing its potential to transform the way we use AI chatbots for everyday […] The post 10 Innovative Uses of Meta AI for Everyday Tasks appeared first on Analytics Vidhya.

Analytics 287
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10 generative AI certs and certificate programs to grow your skills

CIO Business Intelligence

Generative AI is poised to disrupt nearly every industry, and IT professionals with highly sought after gen AI skills are in high demand, as companies seek to harness the technology for various digital and operational initiatives. The State of Generative AI in the Enterprise report from Deloitte found that 75% of organizations expect generative AI technology to impact talent strategies within the next two years, and 32% of organizations that reported “very high” levels of generative AI expertise

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How to Move Generative AI Applications to Production?

Analytics Vidhya

Introduction Deploying generative AI applications, such as large language models (LLMs) like GPT-4, Claude, and Gemini, represents a monumental shift in technology, offering transformative capabilities in text and code creation. The sophisticated functions of these powerful models have the potential to revolutionise various industries, but achieving their full potential in production situations presents a challenging […] The post How to Move Generative AI Applications to Production?

Modeling 339
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5 Free MIT Courses to Learn Math for Data Science

KDnuggets

Learning math is super important for data science. Check out these free courses from MIT to learn linear algebra, statistics, and more.

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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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Architectural Patterns for real-time analytics using Amazon Kinesis Data Streams, Part 2: AI Applications

AWS Big Data

Welcome back to our exciting exploration of architectural patterns for real-time analytics with Amazon Kinesis Data Streams! In this fast-paced world, Kinesis Data Streams stands out as a versatile and robust solution to tackle a wide range of use cases with real-time data, from dashboarding to powering artificial intelligence (AI) applications. In this series, we streamline the process of identifying and applying the most suitable architecture for your business requirements, and help kickstart

IoT 93
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Chart Snapshot: Raisz Cartograms

The Data Visualisation Catalogue

Also knowns as a Rectangular Cartogram. A Raisz Cartogram is a Cartogram variation where each geographical region is represented by a rectangle, with the area being proportional to the data value being visualised geographically. The height and width of each rectangle in a Raisz Cartogram are adjusted to fit within the original geographical region shape as much as possible.

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How to Use GPT for Generating Creative Content with Hugging Face Transformers

KDnuggets

Read this concise tutorial to find out how to use GPT to generate creative content with Hugging Face Transformers. No nonsense, just that facts.

Modeling 102
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Migrate a petabyte-scale data warehouse from Actian Vectorwise to Amazon Redshift

AWS Big Data

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It also helps you securely access your data in operational databases, data lakes, or third-party datasets with minimal movement or copying of data. Tens of thousands of customers use Amazon Redshift to process large amounts of data, modernize their data analytics workloads, and provide insights for their busine

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Chart Snapshot: Dorling Cartograms

The Data Visualisation Catalogue

Also known as a Dorling Map or Circle Cartogram. A Dorling Cartogram is a Cartogram variation where each geographic region is represented by a circle, with the area being proportional to the data value being visualised geographically. The circles in a Dorling Cartogram are positioned approximately in their corresponding geographic locations while avoiding any overlapping between them.

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Here’s How You Can Fine-tune Llama 2 with Unsloth  

Analytics Vidhya

Introduction Training and fine-tuning language models can be complex, especially when aiming for efficiency and effectiveness. One effective approach involves using parameter-efficient fine-tuning techniques like low-rank adaptation (LoRA) combined with instruction fine-tuning. This article outlines the key steps and considerations to fine-tune LlaMa 2 large language model using this methodology.

Modeling 289
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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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AI, cybersecurity investments and identity take center stage at RSA 2024

CIO Business Intelligence

It was truly a good use of time attending the 33rd RSA Conference in San Francisco, along with over 40,000 attendees, networking with the leading minds in the cybersecurity industry. For many, this spring’s RSA show was an energized, optimistic experience, similar to the pre-pandemic years of 2017-2019. There was a definite buzz about cybersecurity investments and M&A picking up steam, AI-based defense and AI-delivered industry models, and overall product innovation.

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5 Python Best Practices for Data Science

KDnuggets

Level up your Python skills for data science with these by following these best practices.

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Build a decentralized semantic search engine on heterogeneous data stores using autonomous agents

AWS Big Data

Large language models (LLMs) such as Anthropic Claude and Amazon Titan have the potential to drive automation across various business processes by processing both structured and unstructured data. For example, financial analysts currently have to manually read and summarize lengthy regulatory filings and earnings transcripts in order to respond to Q&A on investment strategies.

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Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI

Cloudera

The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation.

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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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Python String Matching With Pregex

Analytics Vidhya

Introduction String matching in Python can be challenging, but Pregex makes it easy with its simple and efficient pattern-matching capabilities. In this article, we will explore how Pregex can help you find patterns in text effortlessly. We will cover the benefits of using Pregex, a step-by-step guide to getting started, practical examples, tips for efficient […] The post Python String Matching With Pregex appeared first on Analytics Vidhya.

Analytics 269
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Navigating the Cybersecurity Threat Landscape in the UAE: Strategies for CISOs

CIO Business Intelligence

Today’s organizations face challenges from multiple directions, including threats to the business from state-sponsored cyberattacks, geopolitical turmoil, inflation, and a shortage of security skills. For CISOs to succeed in this unprecedented security landscape, they must balance these threats with new approaches by performing continuous risk assessments, protecting digital assets, and managing the rapid pace of innovation in security technologies.

Strategy 116
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5 Best End-to-End Open Source MLOps Tools

KDnuggets

Explore free and open-source MLOps tools for enhanced data privacy and control over your models and code.

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Introducing Amazon EMR on EKS with Apache Flink: A scalable, reliable, and efficient data processing platform

AWS Big Data

AWS recently announced that Apache Flink is generally available for Amazon EMR on Amazon Elastic Kubernetes Service (EKS). Apache Flink is a scalable, reliable, and efficient data processing framework that handles real-time streaming and batch workloads (but is most commonly used for real-time streaming). Amazon EMR on EKS is a deployment option for Amazon EMR that allows you to run open source big data frameworks such as Apache Spark and Flink on Amazon Elastic Kubernetes Service (Amazon EKS) c

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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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Laying the Foundation for Modern Data Architecture

Cloudera

Behind every business decision, there’s underlying data that informs business leaders’ actions. As the market landscape across verticals from financial services to healthcare and manufacturing grows increasingly competitive, those decisions need to happen ever faster and to make them, businesses need to rely on data to reveal insights quickly, as near-real-time as possible.

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How to Summarize Text with Transformer-based Models?

Analytics Vidhya

Introduction One of the most important tasks in natural language processing is text summarizing, which reduces long texts to brief summaries while maintaining important information. This subject has been transformed by Transformers, which are sophisticated deep learning models that provide unmatched performance in extractive and abstractive summarization techniques.

Modeling 242
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DEI MIA in new Meta AI advisory group

CIO Business Intelligence

The creation of a new group to advise on AI and technology product strategy by Facebook parent Meta Platforms has been criticized by an executive member of the Responsible AI Institute (RAI) for what on the surface appears to be an acute lack of diversity. “It was definitely striking, I will say,” said Alyssa Lefaivre Škopac, head of global partnerships and growth with the RAI, of a panel that is made up of four white male entrepreneurs.

Risk 117
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Google Have Just Dropped a New Course: AI Essentials

KDnuggets

A course that helps career switchers and advancers harness the power of AI to transform the way they work.

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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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Introducing support for Apache Kafka on Raft mode (KRaft) with Amazon MSK clusters

AWS Big Data

Organizations are adopting Apache Kafka and Amazon Managed Streaming for Apache Kafka (Amazon MSK) to capture and analyze data in real time. Amazon MSK helps you build and run production applications on Apache Kafka without needing Kafka infrastructure management expertise or having to deal with the complex overhead associated with setting up and running Apache Kafka on your own.

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Dataiku Launches EU AI Act Readiness Program

Dataiku

The EU AI Act is poised to become one of the most comprehensive and stringent AI regulations globally. With high standards for quality, risk management, monitoring, human oversight, and transparency, the EU AI Act aims to ensure that AI systems deployed in the European Union align with ethical standards and societal values. Non-compliance can lead to severe penalties, including fines up to €35 million or 7% of a company’s global turnover, whichever is higher.

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What Future Awaits with Multimodal AI?

Analytics Vidhya

Introduction AI is growing quickly, and multimodal AI is among its best achievements. Unlike traditional AI systems that can only process a single type of data at a time, e.g., text, images, or audio, multimodal AI can simultaneously process multiple input forms. This allows the AI system to understand the input data more comprehensively, leading […] The post What Future Awaits with Multimodal AI?

Analytics 245
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PwC integrates ChatGPT Enterprise into its practice, becomes a reseller

CIO Business Intelligence

Consulting firm PwC announced Wednesday that it is accelerating its adoption of generative AI in the US and UK through an agreement with OpenAI that it said makes it both the first reseller for ChatGPT Enterprise and the product’s largest user. “PwC consultants are leveraging the capabilities of ChatGPT Enterprise as a valuable tool in their work,” said partner and GenAI leader at PwC, Bret Greenstein.

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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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Navigating Your Data Science Career: From Learning to Earning

KDnuggets

Is earning worth learning in today’s data science landscape? Short answer: yes. The long answer calls for an article.

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Simplify data lake access control for your enterprise users with trusted identity propagation in AWS IAM Identity Center, AWS Lake Formation, and Amazon S3 Access Grants

AWS Big Data

Many organizations use external identity providers (IdPs) such as Okta or Microsoft Azure Active Directory to manage their enterprise user identities. These users interact with and run analytical queries across AWS analytics services. To enable them to use the AWS services, their identities from the external IdP are mapped to AWS Identity and Access Management (IAM) roles within AWS, and access policies are applied to these IAM roles by data administrators.

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Unify your data: AI and Analytics in an Open Lakehouse

Cloudera

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission-critical, large-scale data analytics and AI use cases—including enterprise data warehouses. Nearly two years ago, Cloudera announced the general availability of Apache Iceberg in the Cloudera platform, which helps users avoid vendor lock-in and implement an open lakehouse.

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How to use sum() Function in Python?

Analytics Vidhya

Introduction In this article, you’ll discover an in-depth exploration of the sum() function in Python, a crucial built-in utility for aggregating numbers across various iterable types. We begin by explaining the fundamental syntax and parameters of the sum() function, followed by detailed examples showcasing its application to lists, dictionaries, sets, and tuples.

Analytics 220
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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.