Tue.Jun 18, 2024

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Rethink IT spend in the age of generative AI

IBM Journey to AI blog

It’s the burning question for today’s CIOs: what do you spend your IT budget on? Cloud costs were already a challenge—in a recent survey, 24% estimated they wasted software spend. The explosion of generative AI makes it critical for organizations to consider frameworks like FinOps and technology business management ( TBM ) for visibility and accountability of all tech spend.

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11 Ways to Merge Tables in SQL

Analytics Vidhya

Introduction Ever wonder how to get a complete picture of your company from different databases? SQL can help! Merging data from tables is like putting puzzle pieces together. This lets you analyze and report on all your information at once. In this article, we’ll explore how to use SQL queries like JOIN, UNION, etc. Overview Let’s dive […] The post 11 Ways to Merge Tables in SQL appeared first on Analytics Vidhya.

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Generative AI and Robotics: Are We on the Brink of a Breakthrough?

Unite.AI

Imagine a world where robots can compose symphonies, paint masterpieces, and write novels. This fascinating fusion of creativity and automation, powered by Generative AI , is not a dream anymore; it is reshaping our future in significant ways. The convergence of Generative AI and robotics is leading to a paradigm shift with the potential to transform industries ranging from healthcare to entertainment, fundamentally altering how we interact with machines.

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Gen AI Powered Data Insight Generation using LIDA 

Analytics Vidhya

Introduction This article will introduce the readers to LIDA, an open-source python library for generating detailed data visualizations and appealing infographics. We will first understand that how LIDA works and what are its core capabilities and then finally see it in action by building a Streamlit application that will enable the user to explore the […] The post Gen AI Powered Data Insight Generation using LIDA appeared first on Analytics Vidhya.

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Usage-Based Monetization Musts: A Roadmap for Sustainable Revenue Growth

Speaker: David Warren and Kevin O’Neill Stoll

Transitioning to a usage-based business model offers powerful growth opportunities but comes with unique challenges. How do you validate strategies, reduce risks, and ensure alignment with customer value? Join us for a deep dive into designing effective pilots that test the waters and drive success in usage-based revenue. Discover how to develop a pilot that captures real customer feedback, aligns internal teams with usage metrics, and rethinks sales incentives to prioritize lasting customer eng

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Rapid AI Advances Spotlight Critical Global Tech Skills Shortage

Unite.AI

For a perfect example of just how quickly technology evolves, look no further than ChatGPT. While artificial intelligence, chatbots, and virtual assistants were hardly new concepts prior to ChatGPT launching, it managed to take the conversation to the next level. Today, it seems like AI is quickly becoming a ubiquitous part of our lives. Professionals in virtually every industry obsess over what it is, what it can be, and how to unlock the potential for their own unique use case.

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Oren Aharon, Co-Founder & CEO of Hour One – Interview Series

Unite.AI

Oren Aharon is the Founder and CEO of Hour One. Hour One revolutionizes content creation for businesses by centralizing workflows in one AI-powered platform. Featuring lifelike avatars, rapid rendering, and top-tier security, Hour One's AI video generator offers AI training videos and AI video explainer capabilities that streamline workflows and enhance productivity without requiring design or editing skills.

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Machine Learning vs Neural Networks: What is the Difference?

Analytics Vidhya

Introduction This article will examine machine learning (ML) vs neural networks. Then, we will get to know the similarities and differences between them. Machine learning and Neural Networks are sometimes used synonymously. Even though neural networks are part of machine learning, they are not exactly synonymous with each other. Knowing the difference between them is […] The post Machine Learning vs Neural Networks: What is the Difference?

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How to Fix ‘AI’s Original Sin’

O'Reilly Media

Last month, TheNew York Times claimed that tech giants OpenAI and Google have waded into a copyright gray area by transcribing the vast volume of YouTube videos and using that text as additional training data for their AI models despite terms of service that prohibit such efforts and copyright law that the Times argues places them in dispute. The Times also quoted Meta officials as saying that their models will not be able to keep up unless they follow OpenAI and Google’s lead.

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All About AI-powered Data Analysis with Vizly

Analytics Vidhya

Introduction Generative AI has been at the forefront of recent advancements in artificial intelligence. It has become a part of every major sector, from tech and healthcare to finance and entertainment, and continues transforming our work. It has enabled us to create high-quality content and perform complex tasks in minutes. Now, imagine a world where […] The post All About AI-powered Data Analysis with Vizly appeared first on Analytics Vidhya.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Light Bulb Moment: NVIDIA CEO Sees Bright Future for AI-Powered Electric Grid

NVIDIA

The electric grid and the utilities managing it have an important role to play in the next industrial revolution that’s being driven by AI and accelerated computing, said NVIDIA founder and CEO Jensen Huang Tuesday at the annual meeting of the Edison Electric Institute (EEI), an association of U.S. and international utilities. “The future of digital intelligence is quite bright, and so the future of the energy sector is bright, too,” said Huang in a keynote before an audience of more than a thou

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Primary Key in DBMS

Analytics Vidhya

Introduction With a focus on data integrity and effective retrieval, this article offers a thorough description of primary keys in a database management system (DBMS). It covers types of primary keys, their creation and implementation, and practical applications. The article also discusses best practices for choosing and managing primary keys, highlighting their advantages like uniqueness, […] The post Primary Key in DBMS appeared first on Analytics Vidhya.

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Enhancing Mathematical Reasoning in LLMs: Integrating Monte Carlo Tree Search with Self-Refinement

Marktechpost

With the rapid advancements in artificial intelligence, LLMs such as GPT-4 and LLaMA have significantly enhanced natural language processing. These models, boasting billions of parameters, excel in understanding and generating language, enabling new capabilities in complex tasks like mathematical problem-solving, recommendation systems, and molecule generation.

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Is SQL a Programming Language or a Scripting Language?

Analytics Vidhya

Introduction If you’re someone who works with data, I’m sure you often use Structured Query Language (SQL). Be it in data science, database management, or backend development, SQL is an essential tool that everyone needs. Although most of us are familiar with the language, there’s often some confusion about what it really is. Is it […] The post Is SQL a Programming Language or a Scripting Language?

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From Diagnosis to Delivery: How AI is Revolutionizing the Patient Experience

Speaker: Simran Kaur, Founder & CEO at Tattva Health Inc.

The healthcare landscape is being revolutionized by AI and cutting-edge digital technologies, reshaping how patients receive care and interact with providers. In this webinar led by Simran Kaur, we will explore how AI-driven solutions are enhancing patient communication, improving care quality, and empowering preventive and predictive medicine. You'll also learn how AI is streamlining healthcare processes, helping providers offer more efficient, personalized care and enabling faster, data-driven

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Two sides of the same coin: GenAI and AI

SAS Software

“Generative AI is essentially just a subcategory of AI; it’s not that new algorithms have been invented.” Marinela Profi, AI Product Strategy Lead at SAS, says it up front and directly in her most recent podcast interview. “It takes a variety of data points, code, images and then, based on [.

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Advances in Bayesian Deep Neural Network Ensembles and Active Learning for Preference Modeling

Marktechpost

Machine learning has seen significant advancements in integrating Bayesian approaches and active learning methods. Two notable research papers contribute to this development: “Bayesian vs. PAC-Bayesian Deep Neural Network Ensembles” by University of Copenhagen researchers and “Deep Bayesian Active Learning for Preference Modeling in Large Language Models” by University of Oxford researchers.

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DeepJudge, KM-Focused AI Startup Bags $10.7m, Hires Ex-Kira’s Obenski

Artificial Lawyer

DeepJudge, a legal AI startup founded by AI researchers and former Google search engineers, and focused on leveraging law firm and inhouse internal knowledge, has.

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Apple Releases 4M-21: A Very Effective Multimodal AI Model that Solves Tens of Tasks and Modalities

Marktechpost

Large language models (LLMs) have made significant strides in handling multiple modalities and tasks, but they still need to improve their ability to process diverse inputs and perform a wide range of tasks effectively. The primary challenge lies in developing a single neural network capable of handling a broad spectrum of tasks and modalities while maintaining high performance across all domains.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Use zero-shot large language models on Amazon Bedrock for custom named entity recognition

AWS Machine Learning Blog

Name entity recognition (NER) is the process of extracting information of interest, called entities , from structured or unstructured text. Manually identifying all mentions of specific types of information in documents is extremely time-consuming and labor-intensive. Some examples include extracting players and positions in an NFL game summary, products mentioned in an AWS keynote transcript, or key names from an article on a favorite tech company.

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Meet Unify AI: An AI Startup that Dynamically Routes Each User Prompt to the Best LLM for Better Quality, Speed, and Cost

Marktechpost

Almost every week brings a whole new LLM application, each with its own specific output speed, cost, and quality needs. Additionally, the models that offer the best performance for the job need to be made apparent. Because of this, there are a lot of manual signups, model tests, custom benchmarks, etc. The problem is difficult to solve, and the results could be more satisfactory.

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Improving air quality with generative AI

AWS Machine Learning Blog

As of this writing, Ghana ranks as the 27th most polluted country in the world , facing significant challenges due to air pollution. Recognizing the crucial role of air quality monitoring, many African countries, including Ghana, are adopting low-cost air quality sensors. The Sensor Evaluation and Training Centre for West Africa (Afri-SET) , aims to use technology to address these challenges.

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Revolutionizing Accessibility: Google AI’s Human I/O Unifies Egocentric Vision, Multimodal Sensing, and LLM Reasoning to Detect and Assess User Impairments

Marktechpost

Google AI Researchers introduced Human I/O to address the issue of situationally induced impairments and disabilities (SIIDs). SIIDs are temporary challenges that hinder our ability to interact with technology due to environmental factors such as noise, lighting, and social norms. These impairments can significantly affect our ability to use our hands, vision, hearing, or speech in various situations, leading to a less efficient and more frustrating user experience.

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The Tumultuous IT Landscape Is Making Hiring More Difficult

After a year of sporadic hiring and uncertain investment areas, tech leaders are scrambling to figure out what’s next. This whitepaper reveals how tech leaders are hiring and investing for the future. Download today to learn more!

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Streamline financial workflows with generative AI for email automation

AWS Machine Learning Blog

Many companies across all industries still rely on laborious, error-prone, manual procedures to handle documents, especially those that are sent to them by email. Despite the availability of technology that can digitize and automate document workflows through intelligent automation, businesses still mostly rely on labor-intensive manual document processing.

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Exploring Offline Reinforcement Learning RL: Offering Practical Advice for Domain-Specific Practitioners and Future Algorithm Development

Marktechpost

Data-driven methods that convert offline datasets of prior experiences into policies are a key way to solve control problems in various fields. There are mainly two approaches for learning policies from offline data, imitation learning and offline reinforcement learning (RL). Imitation learning needs high-quality demonstration data, while offline reinforcement learning RL can learn effective policies even from suboptimal data, which makes offline RL theoretically more interesting.

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Meet HUSKY: A New Agent Optimized for Multi-Step Reasoning

Towards AI

Author(s): Jesus Rodriguez Originally published on Towards AI. Created Using Ideogram I recently started an AI-focused educational newsletter, that already has over 170,000 subscribers. TheSequence is a no-BS (meaning no hype, no news, etc) ML-oriented newsletter that takes 5 minutes to read. The goal is to keep you up to date with machine learning projects, research papers, and concepts.

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This AI Paper Presents a Direct Experimental Comparison between 8B-Parameter Mamba, Mamba-2, Mamba-2-Hybrid, and Transformer Models Trained on Upto 3.5T Tokens

Marktechpost

Transformer-based Large Language Models (LLMs) have emerged as the backbone of Natural Language Processing (NLP). These models have shown remarkable performance over a variety of NLP tasks. The creative self-attention mechanism that enables effective all-to-all communication between tokens in a sequence is primarily responsible for their success. Transformers have become a leading NLP research tool because of this approach and its capacity to expand both model and dataset sizes.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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TAI #104; LLM progress beyond transformers with Samba?

Towards AI

Author(s): Towards AI Editorial Team Originally published on Towards AI. What happened this week in AI by Louie This week we saw a wave of exciting papers with new LLM techniques and model architectures, some of which can quickly become integrated into production LLMs. While we discuss more of these in “Hottest News” below, we are particularly excited to see progress in hybrid LLMs moving beyond the transformer architecture.

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DuckDB: An Analytical in-Process SQL Database Management System DBMS

Marktechpost

DuckDB is a high-performance analytical database system designed to excel in various data-intensive tasks. Focused on its speed, reliability, portability, and user-friendliness, DuckDB offers a robust SQL dialect that goes far beyond basic SQL functionalities, making it an exceptional tool for sophisticated data analysis. The key features of DuckDB are listed below: Advanced SQL Support: DuckDB supports various SQL functionalities.

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Generative AI for Farming

O'Reilly Media

We’re planning a live virtual event later this year, and we want to hear from you. Are you using a powerful AI technology that seems like everyone ought to be using? Here’s your opportunity to show the world ! AI is too often seen as a “first world” enterprise of, by, and for the wealthy. We’re going to take a look at a Digital Green ’s Farmer.Chat , a generative AI bot that was designed to help small-scale farmers in developing countries access critical agricultural information.