Flipboard

MARCH 25, 2023

That way, the AI model works as intended, and these companies can keep their tech online. ChatGPT Plus is making money , and you can’t make money if you’ve had to take your language model down. It’s notable that even as it was heralding its new AI models, Microsoft recently laid off its AI ethics and society team.

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AI Modeling OpenAI Large Language Models AI 123

NVIDIA

NOVEMBER 15, 2023

That magnitude is only increasing, as the total amount of data transacted globally is forecast to grow to more than 180 zettabytes by 2025. To meet this demand for data processing and analysis, telcos are turning to generative AI , which is improving efficiency and productivity across industries.

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Generative AI Large Language Models AI AI 131

Unite.AI

SEPTEMBER 13, 2023

Increasingly though, large datasets and the muddled pathways by which AI models generate their outputs are obscuring the explainability that hospitals and healthcare providers require to trace and prevent potential inaccuracies. The healthcare industry stands to benefit from generative AI in a number of ways.

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Explainability Generative AI AI Tools AI 278

AI Weekly

AUGUST 17, 2023

Powered by pitneybowes.com In the News 16 people you should know about the possibilities and dangers of AI Since ChatGPT launched last November, AI has catapulted into the mainstream. Investment in AI is rapidly growing — on track to hit $200 billion by 2025 — as companies race to ramp up their AI divisions.

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Convolutional Neural Networks Robotics Artificial Intelligence Artificial Intelligence 180

AI Weekly

AUGUST 10, 2023

techcrunch.com Research 10 Best Deep Learning Software 2023 By 2025, deep learning technology is predicted to have a global market revenue of $10.2 To help you stay ahead of your competition and develop AI models to enhance your business, we analyzed the best deep learning software currently leading the market.

Neural Network 208

Neural Network Natural Language Processing Robotics Deep Learning 208

Defined.ai blog

FEBRUARY 26, 2023

As society progresses towards a new normal, where remote and hybrid roles are more prevalent, businesses are leveraging AI to enhance the online meeting experience. offers AI developers hours of video call data, ready for your models, along with thousands of hours of other types of training data.

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Categorization AI AI Automation 98

Defined.ai blog

FEBRUARY 26, 2023

As society progresses towards a new normal, where remote and hybrid roles are more prevalent, businesses are leveraging AI to enhance the online meeting experience. offers AI developers hours of video call data, ready for your models, along with thousands of hours of other types of training data.

Categorization 52

Categorization AI AI Automation 52

NVIDIA

JUNE 28, 2023

Focus on sustainable investments is growing: A Bloomberg Intelligence analysis estimated that ESG assets will represent more than a third of total managed assets worldwide by 2025. Ecopia uses NVIDIA GPUs to develop its AI models.

ESG 52

ESG Deep Learning AI AI 52

Chatbots Life

APRIL 19, 2024

Two Generative AI models are generative adversarial networks (GANs) and transformer-based models. Transformer-based models, such as GPT, specialize in generating text. GitHub Copilot: An AI code assistant enhancing code writing efficiency. It analyzes existing data to discover patterns and generate new content.

Generative AI 59

Generative AI Conversational AI Automation AI 59

Unite.AI

DECEMBER 13, 2023

Hugging Face, an AI startup, found that the training of BLOOM, a large language model launched earlier in the year, led to 25 metric tons of carbon dioxide emissions. Another study highlights that training a single large language model can release as much CO2 as five cars using energy throughout their entire lifetimes.

AI Modeling 130

AI Modeling Large Language Models AI AI 130

AI News

JANUARY 19, 2024

Last year, Google signed a deal with ENGIE for offshore wind energy from Scotland’s Moray West farm which will provide 100MW of energy and put UK operations on track for 90 percent clean energy by 2025. Data centres process, host, and store the massive amounts of digital information that is critical for developing AI models.”

Big Data 274

Big Data AI AI Explainability 274

Pickl AI

OCTOBER 25, 2023

In 2023, the average data collection per day reached up to 120 zettabytes and is expected to shoot up to 181 zettabytes by 2025. Big Data technologies assist in collecting, cleaning, and organizing data, making it ready for AI algorithms. The quality of input data greatly influences the effectiveness of AI models.

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Big Data Artificial Intelligence Artificial Intelligence Machine Learning 52

Dlabs.ai

JULY 19, 2023

The International Data Corporation predicts that the global datasphere will swell from 33 zettabytes in 2018 to a staggering 175 zettabytes by 2025. Possible solution: Explainable AI Fortunately, a promising solution exists in the form of Explainable AI.

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Explainable AI Explainability Auto-complete Algorithm 97

Pickl AI

JULY 18, 2023

AI Architect: While AI Engineers and AI Architects are both involved in the development of AI systems, there are notable distinctions between their roles. AI Engineers focus primarily on implementing and deploying AI models and algorithms, working closely with data scientists and machine learning experts.

AI Architect 52

AI Architect AI Engineer Machine Learning Artificial Intelligence 52

Chatbots Life

MAY 15, 2023

Generative AI Use Cases for Enterprises by Industry Generative AI in enterprises is used for tasks such as creating personalized product recommendations, generating natural language responses for customer service, automating content creation, predicting customer behavior, and enhancing data analysis.

Generative AI 98

Generative AI Chatbots AI AI 98

IBM Journey to AI blog

MAY 15, 2024

However, businesses scaling AI face entry barriers. Organizations require reliable data for robust AI models and accurate insights, yet the current technology landscape presents unparalleled data quality challenges. Unified, governed data can also be put to use for various analytical, operational and decision-making purposes.

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ETL Data Integration Generative AI Data Quality 180

NVIDIA

APRIL 9, 2024

NVIDIA NIM microservices, part of the NVIDIA AI Enterprise software platform, together with Google Kubernetes Engine (GKE) provide a streamlined path for developing AI-powered apps and deploying optimized AI models into production. DGX Cloud with GB200 NVL72 will also be available on Google Cloud in 2025.

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AI Developer AI Development Generative AI Inference Engine 140

IBM Journey to AI blog

OCTOBER 12, 2023

The tasks behind efficient, responsible AI lifecycle management The continuous application of AI and the ability to benefit from its ongoing use require the persistent management of a dynamic and intricate AI lifecycle—and doing so efficiently and responsibly. Here’s what’s involved in making that happen.

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Data Scientist Metadata Responsible AI Explainability 207

Chatbots Life

APRIL 30, 2024

BMW BMW is developing a new driver assistance system for its 2025 “Neue Klasse” vehicles using Amazon Web Services (AWS). This project will use AWS for cloud-based innovations, including generative AI. However, there is an urgent need to adopt versatile technologies such as Generative AI.

Generative AI 52

Generative AI Artificial Intelligence Artificial Intelligence Chatbots 52

IBM Journey to AI blog

MAY 3, 2024

Organizations would also need to conduct risk assessments before they use personal information to train certain ADMT or AI models. That said, many observers estimate that the rules won’t take effect until mid-2025 at the earliest. The CPPA is expected to hold another board meeting in July 2024 to discuss the rules further.

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Automation AI AI Explainability 182

IBM Journey to AI blog

FEBRUARY 8, 2023

Adherence to responsible artificial intelligence (AI) standards follows similar tenants. Gartner predicts that the market for artificial intelligence (AI) software will reach almost $134.8 billion by 2025. Risk management Automate model facts and workflows for compliance to business standards.

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Responsible AI Explainability Automation Explainable AI 130

NVIDIA

JUNE 28, 2023

“AGRi360 captures all these insights thanks to AI fed by pictures from farmworkers taken while they’re doing their regular jobs,” Bhattacharya said. Evaluating Seeds and Soils The AI models got their start in research using computer vision to quickly assess soil conditions and the quality of seeds.

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Computer Vision AI AI AI Modeling 85

IBM Journey to AI blog

OCTOBER 20, 2023

.” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 AI technology is quickly proving to be a critical component of business intelligence within organizations across industries.

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Machine Learning Automation AI AI 197

Topbots

MARCH 31, 2024

The first facility should start production of 4-nanometer chips in the first half of 2025, while the launch of the second facility has been delayed and is expected not earlier than 2027. Despite the importance of this diversification move, the output of these U.S. fabs is projected to be less than 5% of TSMC’s total production.

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AI AI AI Developer AI Development 119

DataRobot Blog

FEBRUARY 15, 2023

Enterprises see the most success when AI projects involve cross-functional teams. For true impact, AI projects should involve data scientists, plus line of business owners and IT teams. DataRobot makes it simple to take your model live. With just one click, your model can be containerized and accessible through an API endpoint.

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Data Scientist Data Drift Automation AI 52

Aiiot Talk

JUNE 16, 2023

AI and machine learning tools rely on big data to learn and improve. According to Statista, the amount of information generated worldwide will reach around 181 zettabytes in 2025. This staggering amount shows the scale of data that could be available to AI systems.

AI 246

AI AI Artificial Intelligence Artificial Intelligence 246

AWS Machine Learning Blog

MARCH 1, 2023

trillion by 2025, as reported by the World Bank. Furthermore, AI can be utilized to personalize designs to the customer’s preferences. For example, a customer could select from a variety of colors, patterns, and styles, and AI models would generate a one-of-a-kind design based on those selections.

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Generative AI AI AI Auto-classification 80

AWS Machine Learning Blog

SEPTEMBER 6, 2023

Despite the great generalization capabilities of these models, there are often use cases that have very specific domain data (such as healthcare or financial services), because of which these models may not be able to provide good results for these use cases.

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Auto-complete Machine Learning ML Python 97

Unite.AI

JUNE 8, 2023

Generative AI got a significant spotlight in November 2022 when OpenAI introduced ChatGPT – a Large Language Model (LLM) that can generate human-like text and can have engaging conversations. Let’s discuss how Generative AI models have supercharged the media and entertainment industry. These are: 1.

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Generative AI AI AI ChatGPT 147

Chatbots Life

MAY 3, 2023

Industries that are using Conversational AI According to a report by marketsandmarkets “The global conversational AI market size is expected to grow from USD 4.8 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 21.9% billion in 2020 to USD 13.9 during the forecast period”.

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