Dataconomy

MAY 9, 2025

This service model eliminates the need for significant upfront investments in infrastructure and expertise, allowing companies to leverage AI technologies such as Natural Language Processing and Computer Vision without the complexities of traditional development processes.

Machine Learning 91

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Dataconomy

FEBRUARY 11, 2025

AI winter is a concept that has shaped the evolution of artificial intelligence, influencing funding decisions, research priorities, and public perception. Throughout AI history, periods of optimism and breakthroughs have often been followed by downturns marked by skepticism and reduced investment. What is AI winter?

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Flipboard

APRIL 23, 2025

National Laboratory has implemented an AI-driven document processing platform that integrates named entity recognition (NER) and large language models (LLMs) on Amazon SageMaker AI. In this post, we discuss how you can build an AI-powered document processing platform with open source NER and LLMs on SageMaker.

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Analytics Vidhya

APRIL 6, 2023

Artificial Intelligence (AI) has come a long way since its early days. It has been fueled by numerous factors, including advancements in computing technology and an increasing demand for automated systems.

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Dataconomy

JUNE 16, 2023

Gamma AI is a great tool for those who are looking for an AI-powered cloud Data Loss Prevention (DLP) tool to protect Software-as-a-Service (SaaS) applications. Any organization’s cybersecurity plan must include data loss prevention (DLP), especially in the age of cloud computing and software as a service (SaaS).

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Flipboard

MAY 28, 2025

Simplifying the UI from the traditional human browser to a conversational AI assistant can enhance the user experience in the clinical research process. Generative AI is a promising next step in the evolutionary process of leading this change. Finally, we present instructions to deploy the service in your own AWS account.

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Flipboard

JUNE 13, 2025

As artificial intelligence (AI) continues to transform industries—from healthcare and finance to entertainment and education—the demand for professionals who understand its inner workings is skyrocketing. Yet, navigating the world of AI can feel overwhelming, with its complex algorithms, vast datasets, and ever-evolving tools.

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Flipboard

MAY 16, 2025

With the rise of generative AI and knowledge extraction in AI systems, Retrieval Augmented Generation (RAG) has become a prominent tool for enhancing the accuracy and reliability of AI-generated responses. RAG is as a way to incorporate additional data that the large language model (LLM) was not trained on. Assistant: 0.05

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Flipboard

MARCH 7, 2025

At the forefront of using generative AI in the insurance industry, Verisks generative AI-powered solutions, like Mozart, remain rooted in ethical and responsible AI use. In this post, we describe the development journey of the generative AI companion for Mozart, the data, the architecture, and the evaluation of the pipeline.

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Smart Data Collective

DECEMBER 1, 2022

As we look ahead to 2022, there are four key trends that organizations should be aware of when it comes to big data: cloud computing, artificial intelligence, automated streaming analytics, and edge computing. The Emergence of AI-Driven Big Data. AI-driven data is the next generation of big data.

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Dataconomy

OCTOBER 9, 2023

Artificial Intelligence (AI) – a term that once felt like a page out of a science fiction novel is now a tangible reality, deeply ingrained in our everyday lives. Today, educators worldwide are tapping into the expansive potential of AI to deliver personalized learning experiences.

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Dataconomy

MARCH 17, 2025

Origins and development The concept of Siri was rooted in complex AI research aimed at understanding human language. Utilizing advanced voice technology and AI, Siri relies on methods such as Automatic Speech Recognition (ASR) and Natural Language Processing (NLP). which Apple acquired in 2010.

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Dataconomy

JULY 6, 2023

Like any emerging technology, there are numerous challenges in artificial intelligence that need to be addressed before AI can be widely adopted and its full potential realized. Artificial intelligence (AI) has emerged as a prominent and trending topic in contemporary times due to several compelling reasons.

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Dataconomy

MARCH 19, 2025

They are essential for processing large amounts of data efficiently, particularly in deep learning applications. What are Tensor Processing Units (TPUs)? History of Tensor Processing Units The inception of TPUs can be traced back to 2015 when Google developed them for internal machine learning projects.

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Dataconomy

AUGUST 22, 2023

Smart slassrooms with AI-driven solutions Classrooms embedded with AI features, like facial recognition, natural language processing, and machine learning, are morphing into more interactive and student-friendly spaces. The integration of AI into the education realm promises profound changes in the imminent years.

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Data Science Dojo

MAY 24, 2024

From healthcare where AI assists in diagnosis and treatment plans, to finance where it is used to predict market trends and manage risks, the influence of AI is pervasive and growing. As AI technologies evolve, they create new job roles and demand new skills, particularly in the field of AI engineering.

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Pickl AI

DECEMBER 26, 2024

Summary: The Generative AI Value Chain consists of essential components that facilitate the development and deployment of Generative AI technologies. Key elements include computer hardware, cloud platforms, foundation models, model hubs, applications, and support services.

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Flipboard

APRIL 25, 2025

Generative AI , machine learning (ML) , and cloud technologies are revolutionizing the way we work. Embracing generative AI To help organizations and individuals harness the power of generative AI, AWS offers PartyRock , an intuitive platform where users can create functional applications using simple prompts.

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Data Science Dojo

AUGUST 18, 2023

Large language models (LLMs) are AI models that can generate text, translate languages, write different kinds of creative content, and answer your questions in an informative way. They are trained on massive amounts of text data, and they can learn to understand the nuances of human language.

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Flipboard

FEBRUARY 11, 2025

In this new era of emerging AI technologies, we have the opportunity to build AI-powered assistants tailored to specific business requirements. The Process Data Lambda function redacts sensitive data through Amazon Comprehend. She collaborates with teams across AWS to design solutions that enhance the customer experience.

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Dataconomy

FEBRUARY 6, 2024

With the ability to analyze a vast amount of data in real-time, identify patterns, and detect anomalies, AI/ML-powered tools are enhancing the operational efficiency of businesses in the IT sector. Why does AI/ML deserve to be the future of the modern world? Let’s understand the crucial role of AI/ML in the tech industry.

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Pickl AI

JUNE 8, 2025

Summary: In 2025, data science evolves with trends like augmented analytics, IoT data explosion, advanced machine learning, automation, and explainable AI. Advanced AI and machine learning deepen data science capabilities and applications. Explainable AI ensures transparency, fairness, and trust in AI-driven decisions.

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AWS Machine Learning Blog

JANUARY 30, 2025

The AWS Social Responsibility & Impact (SRI) team recognized an opportunity to augment this function using generative AI. The team developed an innovative solution to streamline grant proposal review and evaluation by using the natural language processing (NLP) capabilities of Amazon Bedrock.

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Smart Data Collective

JANUARY 13, 2022

The market size for AI in marketing is expected to grow ove r 31% a year through 2028. Unfortunately, there are a number of AI-driven marketing mistakes companies continue to make. AI technology is helping solve customer service problems. AI technology is helping solve customer service problems. Information Gap.

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Flipboard

FEBRUARY 19, 2025

In the age of generative artificial intelligence (AI), data isnt just kingits the entire kingdom. Additionally, we discuss some of the responsible AI framework that customers should consider adopting as trust and responsible AI implementation remain crucial for successful AI adoption.

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AWS Machine Learning Blog

DECEMBER 18, 2024

AIs transformative impact extends throughout the modern business landscape, with telecommunications emerging as a key area of innovation. Fastweb , one of Italys leading telecommunications operators, recognized the immense potential of AI technologies early on and began investing in this area in 2019.

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AWS Machine Learning Blog

FEBRUARY 21, 2025

Amazon Q Business addresses this need as a fully managed generative AI-powered assistant that helps you find information, generate content, and complete tasks using enterprise data. This solution enables you to interact with your file system data using conversational AI, making information discovery more intuitive and efficient.

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Dataconomy

AUGUST 31, 2023

The keynote was initiated by Google Cloud CEO Thomas Kurian, who introduced various substantial advancements aimed at propelling the company forward amidst competition from Amazon and Microsoft. Google Cloud Next serves as a testament to Google’s ongoing efforts to maintain its success in the realm of cloud computing.

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AWS Machine Learning Blog

MARCH 13, 2025

The integration of generative AI agents into business processes is poised to accelerate as organizations recognize the untapped potential of these technologies. This post will discuss agentic AI driven architecture and ways of implementing. This post will discuss agentic AI driven architecture and ways of implementing.

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Applied Data Science

AUGUST 2, 2021

This post is a bitesize walk-through of the 2021 Executive Guide to Data Science and AI  — a white paper packed with up-to-date advice for any CIO or CDO looking to deliver real value through data. The most common data science languages are Python and R   —  SQL is also a must have skill for acquiring and manipulating data.

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AWS Machine Learning Blog

MARCH 10, 2025

Financial institutions need a solution that can not only aggregate and process large volumes of data but also deliver actionable intelligence in a conversational, user-friendly format. The use of multiple external cloud providers complicated DevOps, support, and budgeting. Enter Amazon Bedrock Knowledge Bases.

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AWS Machine Learning Blog

OCTOBER 30, 2023

You can use any other model for text generation like Llama2 , Falcon , or Mistral AI. text = """Summarize this content - Amazon Comprehend uses natural language processing (NLP) to extract insights about the content of documents. He is interested in the confluence of machine learning with cloud computing.

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Smart Data Collective

JUNE 4, 2021

Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. Deep learning is used for speech recognition, board games AI, image recognition, and manipulation. Popular options among cloud computing are amazon web services, google cloud, and Microsoft azure.

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AWS Machine Learning Blog

SEPTEMBER 24, 2024

The rise of generative artificial intelligence (AI) has brought an inflection of foundation models (FMs). Goldman Sachs estimated that generative AI could automate 44% of legal tasks in the US. AWS AI and machine learning (ML) services help address these concerns within the industry.

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ODSC - Open Data Science

FEBRUARY 17, 2023

Natural language processing (NLP) has been growing in awareness over the last few years, and with the popularity of ChatGPT and GPT-3 in 2022, NLP is now on the top of peoples’ minds when it comes to AI. Companies are finding NLP to be one of the best applications of AI regardless of industry.

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Data Science Connect

JULY 28, 2023

Data Lakes for Centralized Storage Data lakes serve as centralized repositories for storing raw and processed IoT data. This allows data scientists to access comprehensive datasets for in-depth analysis and AI-driven insights.

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IBM Journey to AI blog

JUNE 5, 2024

SaaS takes advantage of cloud computing infrastructure and economies of scale to provide clients a more streamlined approach to adopting, using and paying for software. AI in SaaS analytics Most industries have had to reckon with AI proliferation and AI-driven business practices to some extent.

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