Unite.AI

OCTOBER 17, 2024

Healthcare in the United States is in the early stages of a significant potential disruption due to the use of Machine Learning and Artificial Intelligence. This shift has been underway for over a decade, but with recent advances, seems poised for more rapid changes. Much work remains to be done to understand the safest and most effective applications of AI in healthcare, to build trust among clinicians in the use of AI, and to adjust our clinical education system to drive better use of AI-based

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AI News

OCTOBER 17, 2024

Robust governance is essential to mitigate AI risks and maintain responsible systems, but the majority of firms are yet to implement a framework. Commissioned by Prove AI and conducted by Zogby Analytics , the report polled over 600 CEOs, CIOs, and CTOs from large companies across the US, UK, and Germany. The findings show that 96% of organisations are already utilising AI to support business operations, with the same percentage planning to increase their AI budgets in the coming year.

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Analytics Vidhya

OCTOBER 10, 2024

Introduction What if machines could make their own decisions, solve problems, and adapt to new situations just like we do? This would potentially lead to a world where artificial intelligence becomes not just a tool but a collaborator. That’s exactly what AI agents aim to achieve! These smart systems are designed to understand their surroundings, […] The post 5 Types of AI Agents that you Must Know About appeared first on Analytics Vidhya.

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AI News

OCTOBER 14, 2024

When we talk about real-time data, what we refer to is information that becomes available as soon as it’s created and acquired. Rather than being stored, data is forwarded directly to an application as soon as it’s collected and is made immediately available – without any lag – to support live, in-the-moment decision-making. Real-time data is at work in virtually every aspect of our lives already, powering everything from bank transactions to GPS to emergency maps created when a disa

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Large Language Models AI AI Artificial Intelligence 237

Speaker: Jay Allardyce

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.

Business Intelligence

IBM Journey to AI blog

OCTOBER 14, 2024

Data’s the gas that makes the AI engines hum. And many companies aren’t taking full advantage of the treasure trove of unstructured data at their fingertips because they’re not sure how to fill the tank. That’s why businesses that have the tools to process unstructured data are catching investors’ attention. Just last month, Salesforce made a major acquisition to power its Agentforce platform—just one in a number of recent investments in unstructured data mana

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Analytics Vidhya

OCTOBER 15, 2024

Introduction The past week in artificial intelligence has been marked by rapid advancements in model capabilities, hardware, and ethical considerations, sparking conversations about the societal impacts of AI. From OpenAI’s $6.6 billion funding round, pushing its valuation to $157 billion, to Meta’s ambitious launch of Movie Gen for video generation, the landscape is evolving quickly. […] The post AI Bytes: OpenAI, Meta, NVIDIA Lead Breakthroughs amid Industry Challenges appeared first on

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AI News

OCTOBER 15, 2024

Machine learning (ML) is revolutionising the way businesses operate, driving innovation, and unlocking new possibilities across industries. By leveraging vast amounts of data and powerful algorithms, ML enables companies to automate processes, make accurate predictions, and uncover hidden patterns to optimise performance. From personalised customer experiences to predictive maintenance and advanced fraud detection, the potential of ML is limitless.

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Unite.AI

OCTOBER 15, 2024

Don Schuerman is chief technology officer and vice-president of product marketing at Pegasystems, responsible for Pega’s platform and customer relationship management (CRM) applications. He has 20 years’ experience delivering enterprise software solutions for Fortune 500 organisations, with a focus on digital transformation, mobility, analytics, business process management, cloud and CRM.

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Automation Generative AI AI AI 189

IBM Journey to AI blog

OCTOBER 14, 2024

In the rush to embrace generative AI, companies are stumbling upon an unexpected hurdle: soaring computing costs that threaten to derail innovation and business transformation efforts. Major AI players are feeling the economic pressure, too. OpenAI is reportedly experiencing explosive revenue growth, with monthly earnings hitting USD 300 million in August 2024.

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Large Language Models Generative AI AI AI 205

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Marktechpost

OCTOBER 11, 2024

In the rapidly evolving world of artificial intelligence, one pressing challenge that developers face is orchestrating complex multi-agent systems. These systems, involving multiple AI agents working collaboratively, often present significant difficulties in coordination, control, and scalability. Current solutions tend to be heavy, requiring extensive resource allocation, which complicates deployment and testing.

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Analytics Vidhya

OCTOBER 10, 2024

Introduction Learning is a continuous journey, whether you’re human or an AI model. However, one question that often comes up is, can these AI models learn themselves just like humans do? As per the recent developments – They can. To understand this in a better way, let’s go back to our college days when C++, […] The post Top 4 Agentic AI Design Patterns for Architecting AI Systems appeared first on Analytics Vidhya.

AI 247

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AI News

OCTOBER 10, 2024

China Telecom, one of the country’s state-owned telecom giants, has created two LLMs that were trained solely on domestically-produced chips. This breakthrough represents a significant step in China’s ongoing efforts to become self-reliant in AI technology, especially in light of escalating US limitations on access to advanced semiconductors for its competitors.

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Unite.AI

OCTOBER 17, 2024

As Artificial Intelligence (AI) continues to advance, the ability to process and understand long sequences of information is becoming more vital. AI systems are now used for complex tasks like analyzing long documents, keeping up with extended conversations, and processing large amounts of data. However, many current models struggle with long-context reasoning.

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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.

Generative AI

IBM Journey to AI blog

OCTOBER 17, 2024

IBM® Cognos® Analytics has long been recognized as the gold standard in business intelligence (BI). Renowned for its superior reporting capabilities, IBM Cognos offers an unparalleled level of depth and flexibility for organizations looking to extract valuable insights from their data. But what many might not know is how Cognos Analytics has seamlessly integrated artificial intelligence (AI) to revolutionize users’ BI experience.

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Marktechpost

OCTOBER 13, 2024

Large language models (LLMs) have made significant progress in language generation, but their reasoning skills remain insufficient for complex problem-solving. Tasks such as mathematics, coding, and scientific questions continue to pose a significant challenge. Enhancing LLMs’ reasoning abilities is crucial for advancing their capabilities beyond simple text generation.

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Analytics Vidhya

OCTOBER 14, 2024

Introduction Today, we will discuss the first pattern in the series of agentic AI design patterns: The Reflection Pattern. The Reflection Pattern is a powerful approach in AI, particularly for large language models (LLMs), where an iterative process of generation and self-assessment improves the output quality. We can picture it as a course developer who […] The post What is Agentic AI Reflection Pattern?

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Large Language Models AI AI Artificial Intelligence 226

AI News

OCTOBER 15, 2024

Telefónica’s corporate venture capital arm, Wayra , has announced its investment in AI answer engine Perplexity. Perplexity’s AI-driven platform aims to revolutionise internet information searches by providing real-time, accurate, and contextual answers to queries using natural language processing. Unlike traditional search engines that return a list of links, Perplexity understands the intent behind questions and delivers clear, concise answers from a curated set of relevant sources

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Speaker: Brendan Sweeney, VP of Sales & Devyn Blume, Sr. Account Executive

Are you curious about how artificial intelligence is reshaping sales coaching, learning, and development? Join Brendan Sweeney and Devyn Blume of Allego for an engaging new webinar exploring AI's transformative role in sales coaching and performance improvement! Brendan and Devyn will share actionable insights and strategies for integrating AI into coaching and development - ensuring personalized, effective, and scalable training!

AI

Unite.AI

OCTOBER 15, 2024

In recent years, the growing ability of generative AI to create realistic visuals, mimic artistic styles, and produce entirely new forms of expression has redefined how art is made and experienced. While this transformation offers remarkable opportunities for innovation and productivity in the creative sector, it also raises concerns about intellectual property rights and the potential misuse of artistic works.

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IBM Journey to AI blog

OCTOBER 17, 2024

Chief financial officers (CFOs) are no longer just number crunchers; they are strategic leaders responsible for driving innovation and growth. With advancements in new technologies such as generative AI, finance leaders have remarkable tools to reshape how they operate, innovate and provide value across their organizations. As economic volatility continues to rise, CFOs face increasing pressure to ensure operational efficiency while also spearheading digital transformation.

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Marktechpost

OCTOBER 13, 2024

Mixture of Experts (MoE) models are becoming critical in advancing AI, particularly in natural language processing. MoE architectures differ from traditional dense models by selectively activating subsets of specialized expert networks for each input. This mechanism allows models to increase their capacity without proportionally increasing the computational resources required for training and inference.

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Analytics Vidhya

OCTOBER 15, 2024

Introduction Chatbots have become an essential tool for most organisations. They provide excellent customer support and enhance user engagement. Are you interested in building a chatbot for your business but aren’t a developer? No problem! Thanks to rapid advancements in no-code platforms, building an AI agent chatbot without coding is now possible for anyone.

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AI Chatbots Chatbots AI AI 166

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AI News

OCTOBER 10, 2024

While AI improves the detection of cybersecurity threats, it simultaneously ushers in more advanced challenges. Research from Keeper Security finds that, despite the implementation of AI-related policies, many organisations remain inadequately prepared for AI-powered threats. 84% of IT and security leaders find AI-enhanced tools have exacerbated the challenge of detecting phishing and smishing attacks, which were already significant threats.

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Unite.AI

OCTOBER 15, 2024

A groundbreaking new technique, developed by a team of researchers from Meta, UC Berkeley, and NYU, promises to enhance how AI systems approach general tasks. Known as “ Thought Preference Optimization ” (TPO), this method aims to make large language models (LLMs) more thoughtful and deliberate in their responses. The collaborative effort behind TPO brings together expertise from some of the leading institutions in AI research.

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NVIDIA

OCTOBER 11, 2024

In 1999, fans lined up at Blockbuster to rent chunky VHS tapes of The Matrix. Y2K preppers hoarded cash and canned Spam, fearing a worldwide computer crash. Teens gleefully downloaded Britney Spears and Eminem on Napster. But amid the caffeinated fizz of turn-of-the-millennium tech culture, something more transformative was unfolding. The release of NVIDIA’s GeForce 256 twenty-five years ago today, overlooked by all but hardcore PC gamers and tech enthusiasts at the time, would go on to lay the

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Marktechpost

OCTOBER 11, 2024

Retrieval-augmented generation (RAG) has become a key technique in enhancing the capabilities of LLMs by incorporating external knowledge into their outputs. RAG methods enable LLMs to access additional information from external sources, such as web-based databases, scientific literature, or domain-specific corpora, which improves their performance in knowledge-intensive tasks.

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Speaker: Michael Mansard and Katherine Shealy

Generative AI is no longer just an exciting technological advancement––it’s a seismic shift in the SaaS landscape. Companies today are grappling with how to not only integrate AI into their products but how to do so in a way that makes financial sense. With the cost of developing AI capabilities growing, finding a flexible monetization strategy has become mission critical.

AI

Analytics Vidhya

OCTOBER 10, 2024

Introduction When attending a job interview or hiring for a large company, reviewing every CV in detail is often impractical due to the high volume of applicants. Instead, leveraging CV data extraction to focus on how well key job requirements align with a candidate’s CV can lead to a successful match for both the employer […] The post CV Data Extraction: Essential Tools and Methods for Recruitment appeared first on Analytics Vidhya.

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Unite.AI

OCTOBER 14, 2024

OPINION Nobody in the fictional Star Wars universe takes AI seriously. In the historic human timeline of George Lucas's 47 year-old science-fantasy franchise, threats from singularities and machine learning consciousness are absent, and AI is confined to autonomous mobile robots ( ‘droids' ) – which are habitually dismissed by protagonists as mere ‘machines'.

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Machine Learning Research at Apple

OCTOBER 10, 2024

Recent advancements in Large Language Models (LLMs) have sparked interest in their formal reasoning capabilities, particularly in mathematics. The GSM8K benchmark is widely used to assess the mathematical reasoning of models on grade-school-level questions. While the performance of LLMs on GSM8K has significantly improved in recent years, it remains unclear whether their mathematical reasoning capabilities have genuinely advanced, raising questions about the reliability of the reported metrics.

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Large Language Models 126