John Snow Labs

OCTOBER 16, 2023

billion by 2028, LLMs play a pivotal role in this growth trajectory. ” – Zain Hasan, Senior ML Developer Advocate at Weaviate “An under-discussed yet crucial question is how to ensure that LLMs can be trained in a way that respects user privacy and does not rely on exploiting vast amounts of personal data.”

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NVIDIA

MARCH 18, 2025

Enterprise AI Needs Scalable Storage As the pace of AI innovation and adoption accelerates, secure and reliable access to high-quality enterprise data is becoming more important than ever. Data is the fuel for the AI factory.

Data Platform 60

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Marktechpost

JUNE 27, 2023

Data scientists can easily handle these complications thanks to Machine Learning as a Service (MLaaS). Machine Learning as a service (MLaaS) has recently gained much traction due to its benefits to data science, machine learning engineering, data engineering, and other machine learning professionals. What is MLaas?

Machine Learning 57

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Pickl AI

FEBRUARY 2, 2023

The global AI in retail is expected to swell from under $5 billion in 2021 to more than $31 billion by 2028. The Next Big Thing While Data Science, AI and ML are the next big thing in the technological domain, you too can take a big leap in your career by gaining expertise in these technologies. With Pickl.AI

Artificial Intelligence 52

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ODSC - Open Data Science

DECEMBER 16, 2024

Marvell predicts that the market for custom AI chips could reach $45 billion by 2028, with Broadcom and Marvell leading the industry. Broadcoms central rival in the custom AI chip space, Marvell Technology, also sees significant growth potential.

Artificial Intelligence 40

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ODSC - Open Data Science

OCTOBER 22, 2024

According to UK-based consultancy Juniper Research, online payment fraud is expected to surpass $362 billion by 2028. Recent data from the Treasury Department revealed that suspicious activity linked to check fraud totaled $688 million between February and August 2023. The need for AI-driven fraud prevention is urgent.

Machine Learning 40

Machine Learning AI Strategy AI AI 40

Pickl AI

SEPTEMBER 18, 2024

Read More: How Can AI and Data Protection Work Together Market Overview The global AI in cybersecurity market was valued at approximately USD 22.4 billion by 2028, growing at a compound annual growth rate (CAGR) of 21.9% billion by 2028. billion in 2023 and is projected to reach USD 60.6 during this period. billion in 2023.

Artificial Intelligence 52

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Pickl AI

NOVEMBER 4, 2024

The global Big Data and Data Engineering Services market, valued at USD 51,761.6 million by 2028. This article explores the key fundamentals of Data Engineering, highlighting its significance and providing a roadmap for professionals seeking to excel in this vital field. How Does Data Engineering Differ from Data Science?

Data Quality 52

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Pickl AI

NOVEMBER 5, 2024

billion by 2028. As of 2023, a staggering 96% of Deepfake videos were created using AI, reflecting the technology’s rapid growth and accessibility. Reports indicate that the global Deepfake detection market is expected to reach $2.06 This is driven by increasing concerns over misinformation and privacy violations.

Neural Network 52

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Pickl AI

OCTOBER 21, 2024

million users by 2028, marking a significant growth in its user base. This optimisation improves user engagement and helps Instagram manage its vast database effectively. LinkedIn LinkedIn, the world’s largest professional networking site, is projected to reach 942.84

Data Integration 52

Data Integration Metadata Machine Learning Algorithm 52

Pickl AI

DECEMBER 26, 2024

Summary: “Data Science in a Cloud World” highlights how cloud computing transforms Data Science by providing scalable, cost-effective solutions for big data, Machine Learning, and real-time analytics. Advancements in data processing, storage, and analysis technologies power this transformation.

Data Science 52

Data Science Machine Learning Data Scientist Big Data 52

AI Weekly

MARCH 6, 2025

theguardian.com AI at the Brink: Preventing the Subversion of Democracy The year is 2028. Here we consider the application to infectious disease modelling of AI systems that combine machine learning, computational statistics, information retrieval and data science.

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