Sat.Apr 15, 2023 - Fri.Apr 21, 2023

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Meet AgentGPT, an AI That Can Create Chatbots, Automate Things, and More!

Analytics Vidhya

A fully autonomous AI agent called AgentGPT is gaining popularity in the field of generative AI models. Based on AutoGPT initiatives like ChaosGPT, this tool enables users to specify a name and an objective for the AI to accomplish by breaking it down into smaller tasks. AgentGPT is a no-code, browser-based solution that makes AI […] The post Meet AgentGPT, an AI That Can Create Chatbots, Automate Things, and More!

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ISO 20022: Are your payment systems ready?

IBM Journey to AI blog

ISO 20022 is a global standard for financial messaging that aims to standardize electronic data interchange between financial institutions. It provides a structured way of exchanging data for financial transactions, including payments, securities and trade services. The International Organization for Standardization (ISO) developed the standard, which is being adopted by countries and financial institutions worldwide.

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How physics advanced Generative AI

AssemblyAI

Distinct fields often cross-pollinate important concepts which help drive their progress. Concepts from mathematics lay at the foundation for progress in physics ; concepts from physics often inspire frameworks in economics. Artificial Intelligence (AI) has joined this cohort, pulling in ideas from physics to develop state-of-the-art models and inform how they work at a fundamental level.

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What’s Different About Today’s AI?

Cassie Kozyrkov

Hint: today’s AI revolution isn’t really about AI… it’s about UX Continue reading on Medium »

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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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Google’s Monopoly Hindered Innovations Like ChatGPT: US Department of Justice

Analytics Vidhya

The US Department of Justice (DOJ) has recently asserted that Google’s monopoly in the tech industry may have delayed the development of innovations like ChatGPT. This statement brings attention to the growing concerns regarding the market dominance of tech giants and the potential repercussions of technological advancements and competition. The DOJ’s Findings on Google’s Monopoly […] The post Google’s Monopoly Hindered Innovations Like ChatGPT: US Department of Jus

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Are AI Tools Ready To Be Trusted and Used as Educational Resources?

Aiiot Talk

You never know what will come into the classroom next, whether it’s augmented reality mathematics or AI robots tutoring students. Teachers need tech to keep students’ attention and increase efficiency, but it’s common knowledge that countless AI models are still in early development. Are there consequences to trusting technically unfinished AI in education too soon?

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Financial Services Will Embrace Generative AI Faster Than You Think

Flipboard

Artificial intelligence and machine learning have been used in the financial services industry for more than a decade, enabling enhancements that range from better underwriting to improved foundational fraud scores. Generative AI via large language models (LLMs) represents a monumental … The post Financial Services Will Embrace Generative AI Faster Than You Think appeared first on Andreessen Horowitz.

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Why Learn No Code Machine Learning in 2023?

Analytics Vidhya

Introduction Technologies like machine learning and artificial intelligence have become the talk of the town because of their applicability across organizations of all sizes and domains; and their ability to automate the most complex tasks. It was only in the reinvention of backpropagation in the mid-1980s that they were deemed successful sheerly because of the […] The post Why Learn No Code Machine Learning in 2023?

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IBM and Texas A&M AgriLife provide data, technology and expertise to farmers in need

IBM Journey to AI blog

In Texas, 2022 was one of the driest years on record. With failed crops, low yields for farmers and diminished grazing for cattle, the Texas Department of Agriculture identified climate change as a potential threat to the state’s food supply. Smallholder farmers, particularly those in arid and drought-prone regions, struggle to manage their farms because they lack access to guidance on how much water to use for specific crops to ensure a good yield. “We’re in hills, so some are

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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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Announcing Google DeepMind

DeepMind

DeepMind and the Brain team from Google Research will join forces to accelerate progress towards a world in which AI helps solve the biggest challenges facing humanity.

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Mastering Generative AI and Prompt Engineering: A Free eBook

Flipboard

In short, generative AI — and the prompts that power them — are everywhere. But beyond the basics, what do you really know about either? Perhaps you would find a concise, focused ebook on the topics useful.

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This is How Experts Predict the Future of AI

Analytics Vidhya

AI has become a teacher, guide, friend and even more to people worldwide. Holding answers to almost every question and the ability to ‘think’, it has astonishingly even passed multiple exams curated to identify the human mindset and thought process. The AI revolution is here! But will it last, or will another human innovation tread […] The post This is How Experts Predict the Future of AI appeared first on Analytics Vidhya.

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How a water technology company overcame massive data problems with ActionKPI and IBM

IBM Journey to AI blog

Access to clean water is essential for the survival and growth of humans, animals and crops. Water technology companies worldwide provide innovative solutions to supply, conserve and protect water throughout the highly complex and technical water cycle of collection, treatment, distribution, reuse and disposal. After a series of international acquisitions, a leading water technology company formed an Assessment Services division to provide water infrastructure services to their customers.

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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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Public Health Transformation: Ways to use SAS Viya

SAS Software

We demonstrate a few common and essential public health functions using SAS Viya. Our goal is to show the art of the possible within the realm of accessibility. The post Public Health Transformation: Ways to use SAS Viya appeared first on SAS Blogs.

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A Guide to Top Natural Language Processing Libraries

Flipboard

Natural Language Processing is one of the hottest areas of research. While NLP tasks may seem a bit complicated at first, they can be made easier by using the right tools. This article covers a list of the top 6 NLP Libraries that can save you time and effort.

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DinoV2: Most Advanced Self-Taught Vision Model by Meta

Analytics Vidhya

Meta AI has announced the launch of DinoV2, an open-source, self-supervised learning model. It is a vision transformer model for computer vision tasks, built upon the success of its predecessor, DINO. The innovative model delivers robust performance and does not require fine-tuning, setting it apart from other similar models, such as CLIP. Also Read: Microsoft […] The post DinoV2: Most Advanced Self-Taught Vision Model by Meta appeared first on Analytics Vidhya.

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The CFO: at the forefront of innovation

IBM Journey to AI blog

Historically, the Chief Financial Officer (CFO) role had been strictly focused on accounting for financial information. These days, there’s a need — and even some pressure — for CFOs to evolve their scope and influence the innovation agenda within their enterprises. For starters, they can help prioritize and invest in it. It’s the season for the strategic and innovative CFO.

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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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Improving AI’s ability to follow complex human instructions

NYU Center for Data Science

A paper on vision and language navigation by a team of researchers including CDS PhD student Aishwarya Kamath was accepted at CVPR 2023 CDS PhD student Aishwarya Kamath Training robots to follow human instructions in natural language is a significant long-term challenge in artificial intelligence research. To explore this question, the field of Vision and Language Navigation (VLN) has developed to train VLN models that navigate in photorealistic environments.

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KDnuggets Top Posts for March 2023: ChatGPT for Data Science Cheat Sheet

Flipboard

ChatGPT for Data Science Cheat Sheet • 4 Ways to Generate Passive Income Using ChatGPT • GPT-4: Everything You Need To Know • Automate the Boring Stuff with GPT-4 and Python • Simpson's Paradox and its Implications in Data Science • ChatGPT vs Google Bard: A Comparison of the Technical Differences • OpenChatKit: Open-Source ChatGPT Alternative • How to Use ChatGPT to Improve Your Data Science Skills

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Predicting Ad Click-through Rate with Random Forest

Analytics Vidhya

Introduction Click-through Rate (CTR) is a crucial metric that shows the percentage of visitors who click on an ad, providing insights into ad effectiveness. Businesses might considerably benefit from studying the click-through rate when developing their advertising tactics. By analyzing CTR statistics, companies may determine whether advertisements resonate with their target demographic and generate more […] The post Predicting Ad Click-through Rate with Random Forest appeared first on An

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Visual Blocks for ML: Accelerating machine learning prototyping with interactive tools

Google Research AI blog

Posted by Ruofei Du, Interactive Perception & Graphics Lead, Google Augmented Reality, and Na Li, Tech Lead Manager, Google CoreML Recent deep learning advances have enabled a plethora of high-performance, real-time multimedia applications based on machine learning (ML), such as human body segmentation for video and teleconferencing, depth estimation for 3D reconstruction, hand and body tracking for interaction, and audio processing for remote communication.

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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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Should you use the Wald confidence interval for a binomial proportion?

SAS Software

The "Teacher’s Corner" of The American Statistician enables statisticians to discuss topics that are relevant to teaching and learning statistics. Sometimes, the articles have practical relevance, too. Andersson (2023) "The Wald Confidence Interval for a Binomial p as an Illuminating 'Bad' Example," is intended for professors and masters-level students in [.

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Stability AI unveils its first LLM, as open-source AI race continues

Flipboard

Stability AI, the company funding the development of open-source generative AI models like Stable Diffusion and Dance Diffusion, today announced the launch of its StableLM suite of language models.

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No Code vs Traditional Machine Learning in 2023

Analytics Vidhya

Introduction In 2023, almost everything you see has been automated or is on the verge of undergoing the same, which makes it all the more important to introduce you to ‘No Code ML’ From sending an email to backing up files, scheduling social media posts, or even sending email reminders, machines have revolutionized how humans […] The post No Code vs Traditional Machine Learning in 2023 appeared first on Analytics Vidhya.

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Responsible AI at Google Research: Technology, AI, Society and Culture

Google Research AI blog

Posted by Lauren Wilcox, Senior Staff Research Scientist, on behalf of the Technology, AI, Society, and Culture Team Google sees AI as a foundational and transformational technology , with recent advances in generative AI technologies, such as LaMDA , PaLM , Imagen , Parti , MusicLM , and similar machine learning (ML) models, some of which are now being incorporated into our products.

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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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How To Improve AI Model Robustness in the Last Mile

ODSC - Open Data Science

Artificial intelligence (AI) and machine learning (ML) have rapidly become key drivers of business transformation. They can improve operations, reduce costs, enhance customer experience, and drive revenue growth. However, the latest innovations in ML and AI have made one thing clear: AI does not work in isolation. As AI builders, we must recognize that new ML models impact people, processes, and other technology, especially in the last mile or final stages of AI design.

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DevSecOps: AI is reshaping developer roles, but it’s not all smooth sailing

Flipboard

A report by GitLab finds that AI and ML in software development workflows show promise, but challenges like toolchain complexity and security concerns persist. The post DevSecOps: AI is reshaping developer roles, but it’s not all smooth sailing appeared first on TechRepublic.

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From Zero to Millionaire: Generate Passive Income using ChatGPT

Analytics Vidhya

Are you ready for an exciting and crazy experiment that could potentially generate a passive income for you in just six months? Well, I certainly am! This weekend, I was inspired to explore the possibilities of leveraging generative AI tools like ChatGPT, Mid Journey, DALL-E 2, and more to create a revenue stream. And in […] The post From Zero to Millionaire: Generate Passive Income using ChatGPT appeared first on Analytics Vidhya.

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