Mon.May 22, 2023

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The Best Roadmap to Learn Generative AI in 2023

Analytics Vidhya

Generative AI has taken the world by storm. Its ability to create new data and innovate ideas has revolutionized the field of AI. Generative AI has captured the interest of people with its unparalleled creativity. It has led to the development of numerous applications and opened up the gateway to infinite possibilities. Are you curious […] The post The Best Roadmap to Learn Generative AI in 2023 appeared first on Analytics Vidhya.

Analytics 313
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5 C-suite bridges every IT leader must build

CIO Business Intelligence

IT leaders have known for years that having “a seat at the table” is essential to their success. Without insight into and influence over key organizational decisions and priorities, CIOs are disadvantaged when it comes to launching and supporting initiatives that will help the business thrive. But these days, that seat at the table, where the CEO and other top executives define and map out business strategy, is no longer enough.

IT 111
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Meta Reveals AI Chips to Revolutionize Computing

Analytics Vidhya

In a significant development, Meta has unveiled its first custom-designed computer chip, explicitly tailored for processing artificial intelligence programs. The chip is the Meta Training and Inference Accelerator (MTIA). It consists of a mesh of blocks of circuits that operate in parallel. Additionally, it runs using software that optimizes programs using Meta’s PyTorch open-source developer […] The post Meta Reveals AI Chips to Revolutionize Computing appeared first on Analytics Vi

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The Future of AI: Exploring the Next Generation of Generative Models

KDnuggets

What Generative AI is currently capable of and the current challenges it needs to overcome to explore the next wave of generative AI models?

Modeling 127
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Top 10 GitHub Data Science Projects For Beginners

Analytics Vidhya

Introduction The importance of “data” in today’s world is something we do not need to emphasize. As of 2023, the data generated has touched over 120 zettabytes! This is far more than what we can imagine. What’s more surprising is that the number will cross 180 within the next two years. This is why data […] The post Top 10 GitHub Data Science Projects For Beginners appeared first on Analytics Vidhya.

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EU’s AI Act challenge: balance innovation and consumer protection

CIO Business Intelligence

Members of the EU Parliament have agreed on a first draft for regulating the use of AI. The AI ​​Act is now taking the next procedural step to be negotiated and worked out with individual member states. In the end, there should be an EU-wide body of law to regulate the use of AI technologies, such as ChatGPT. Essentially, the AI ​​Act is about categorizing AI systems into specific risk classes ranging from minimal, to systems with high risks, and those that should be banned altogether.

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More Trending

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WebLLM: Bring LLM Chatbots to the Browser

KDnuggets

Wouldn't it be cool if you can run LLMs and LLM chatbots natively in your browser? Let's learn more about the WebLLM project, an interesting step in this direction.

IT 107
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ClearML’s ClearGPT: Customizable AI for Secure and Efficient Business Workflows

Analytics Vidhya

ClearML, an open-source AI solutions firm, has announced the launch of ClearGPT. This secure and enterprise-grade generative AI platform aims to empower organizations to securely and efficiently deploy and utilize state-of-the-art large language models (LLMs) at scale. What is ClearGPT? ClearGPT is a tool designed to help businesses harness the power of ChatGPT-like LLMs, improving […] The post ClearML’s ClearGPT: Customizable AI for Secure and Efficient Business Workflows appeared f

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How I Did Automatic Image Labeling Using Grounding DINO

KDnuggets

I'm thrilled to share that recent advancements in the computer vision field, such as the emergence of groundbreaking zero-shot object detectors like Grounding DINO, have revolutionized the image labeling process.

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Generative AI ‘May Not Make Sense’ For All: Fortune 500 CEOs Survey

Analytics Vidhya

A recent survey on Generative AI conducted by Accenture shows that Fortune 500 CEOs still focus on earlier generations of technology, such as predictive AI or robotic process automation, rather than generative AI, computer models that create text, images, and computer code. The survey asked leaders to rank technologies “in terms of your view of […] The post Generative AI ‘May Not Make Sense’ For All: Fortune 500 CEOs Survey appeared first on Analytics Vidhya.

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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How to use VPN with a VPC hub-and-spoke architecture

IBM Big Data Hub

Site-to-site Virtual Private Network (VPN) has been used to connect distributed networks for decades. This post describes how to use a VPC VPN Gateway to connect an on-premises (enterprise) network to the IBM Cloud VPC in a transit hub-and-spoke architecture: VPN Gateway connectivity to a VPC transit hub and spoke. Each spoke can be operated by a different business unit or team.

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US Stock Market Finds Boost From Artificial Intelligence (AI)

Analytics Vidhya

The US stock market has been receiving a boost from artificial intelligence (AI), according to a report in Economic Times. Megacap stocks, including Microsoft, Google parent Alphabet, Nvidia, Apple, and Meta platforms, have delivered most of the S&P 500’s year-to-date return of 9%. Analysts estimate that about 25% to 50% of these gains are due […] The post US Stock Market Finds Boost From Artificial Intelligence (AI) appeared first on Analytics Vidhya.

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IBM WebSphere Liberty announces InstantOn for cloud-native Java

IBM Big Data Hub

IBM is pleased to announce the availability of WebSphere Liberty InstantOn coming at the end of June 2023. With this new offering, you can start cloud-native Java applications up to 10x faster. IBM WebSphere Liberty is a next-generation application runtime that accelerates the delivery of cloud-native applications. Whether you’re running microservices in a serverless environment or a traditional always-on application, Liberty requires less infrastructure, saving costs by up to 40% , and pr

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Classification vs. Clustering- Which One is Right for Your Data?

Analytics Vidhya

Introduction Imagine walking into a shopping mall with hundreds of brands and products, all jumbled up and randomly placed in the shops. Would you be able to find the desired brand or product easily? Definitely not. This is where the organization part comes in— by categorizing the brands as a whole or taking a more […] The post Classification vs.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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One Big Cluster Stuck: Data Asset Standardization

Cloudera

Data asset standardization is the purposeful and carefully planned consolidation of redundant, contradictory reports, processes, and databases into enterprise standards. The proliferation of data assets can have the greatest adverse impact on environmental health; standardization has many health benefits: Reduces the likelihood that ill-constructed assets take down processes, nodes, and clusters Reduces contention and competition for compute and storage Reduces process and service failures and a

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DragGAN: Google Researchers Unveil AI Technique for Magical Image Editing

Analytics Vidhya

Researchers from Google, the Max Planck Institute of Informatics, and MIT CSAIL have recently released a new AI technique. It allows users to manipulate images in seconds with just a click and drag. The new DragGAN is an AI editing tool that leverages a pre-trained GAN (Generative Adversarial Network) to synthesize ideas that precisely follow […] The post DragGAN: Google Researchers Unveil AI Technique for Magical Image Editing appeared first on Analytics Vidhya.

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Introduction to Correlation

KDnuggets

Learn the basics of correlation and its use in data science and machine learning.

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How Lakehouse Architecture is Revolutionalizing Business Intelligence

Paul Turley

Data storage fads have come and gone over the past decade as the industry shifted from on-premises data storage to the…

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Today’s quantum-inspired approaches for ROI

CIO Business Intelligence

Quantum computing will change the world — the industry has rightfully accepted this as fact. However, until it does, we must contend with some limitations in the noisy intermediate scale quantum (NISQ) era machines we have today. Many use cases allow us to show customers how to solve complex business problems with actual NISQ quantum computers. Still, we often must accept that it will be some time before we have enough qubits of a high enough fidelity to demonstrate true benchmarkable advantag

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Analytics Resourcing for Modern Businesses

Data Insight

Adapting to the Times: On-Demand Analytics Experts In the current economic climate, businesses are facing significant challenges when it comes to managing their budgets and resources. Companies are having to find ways to maximise output while minimising costs, to stay competitive. This is where Data Insight’s on-demand analytics experts can be particularly valuable, as they allow businesses to access top talent without incurring the long-term costs associated with traditional hiring processes or

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What Is a Machine Learning Model?

Dataiku

At a basic level, a machine learning model can be created as the output of a machine learning task. The purpose of machine learning is to take the time-consuming task of identifying patterns that are correlated to some outcome and expedite this task using semi-automated processing. This allows for identifying correlations or the prediction of an outcome using a mixture of potentially complex inputs.

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Conversation with Sumeet, Software Engineer at Natwest Group

Analytics Vidhya

Introduction Join us in this interview as Sumeet shares his background, journey as a former Data Scientist to a software engineer, and learn the captivating aspects of his current job. He provides insights into the future of data science and software engineering and offers valuable advice for career transitioners. Let’s dive into our conversation with […] The post Conversation with Sumeet, Software Engineer at Natwest Group appeared first on Analytics Vidhya.

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Monetizing Analytics Features

Think your customers will pay more for data visualizations in your application? Five years ago, they may have. But today, dashboards and visualizations have become table stakes. Turning analytics into a source of revenue means integrating advanced features in unique, hard-to-steal ways. Download this white paper to discover which features will differentiate your application and maximize the ROI of your analytics.

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Ontotext’s Semantic Approach Towards LLM, Better Data and Content Management: An Interview with Doug Kimball and Atanas Kiryakov

Ontotext

What is the future of knowledge graphs in the era of ChatGPT and Large Language Models? Atanas Kiryakov: Knowledge graphs will prosper in the ChatGPT era. To start with, Large Language Models (LLM) will not replace databases. They are good for compressing information, but one cannot retrieve from such a model the same information that it got trained on.

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New Technologies To Look Out For at SAP Sapphire Barcelona 2023

Timo Elliott

Heading off to SAP Sapphire in Barcelona this week? Here are some technologies you may want to take a look at, based on the SAP Sapphire Orlando Innovation Keynote last week, and you can watch the replay yourself here. Thomas Saueressig, head of SAP Product Engineering, and CTO Juergen Mueller presented a series of short demos helped by two “young talent” employees, Lucy Alexander and Sangeetha Jayakumar.