Sun.Apr 13, 2025

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What’s the government up to with digital verification services? ‘ID’ like to know

Computer Weekly

Is the government really looking to compete with the private sector for provision of digital identity?

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The Role and Benefits of AI in Cybersecurity

SecureWorld News

Cyber threats evolve daily, often outpacing traditional security measures. Hackers constantly refine their tactics, pushing companies to seek smarter defenses. This is where Artificial Intelligence (AI) steps in. AI plays a crucial role in both offense and defense. On the offensive side, it helps security teams predict and mimic hacker behavior to stay ahead of attacks.

Insiders

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LLM quantization

Dataconomy

LLM quantization is becoming increasingly vital in the landscape of machine learning, particularly as large language models (LLMs) continue to grow in size and complexity. As the demand for more efficient AI applications rises, understanding how quantization can optimize these models is essential. By reducing the precision of model weights and activations, LLM quantization not only minimizes the model size but also boosts inference speed, making it feasible to deploy sophisticated models even in

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Government faces claims of serious security and data protection problems in One Login digital ID

ComputerWeekly

The Government Digital Service was warned about serious cyber security and data protection problems in its flagship digital identity system - with insider claims that data of three million users may still be at risk

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Going Beyond Chatbots: Connecting AI to Your Tools, Systems, & Data

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

If AI agents are going to deliver ROI, they need to move beyond chat and actually do things. But, turning a model into a reliable, secure workflow agent isn’t as simple as plugging in an API. In this new webinar, Alex Salazar and Nate Barbettini will break down the emerging AI architecture that makes action possible, and how it differs from traditional integration approaches.

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Vector databases

Dataconomy

Vector databases play a pivotal role in managing complex data environments, especially in the realms of artificial intelligence and machine learning. As our data becomes more intricate and multi-dimensional, the need for effective storage and retrieval mechanisms rises. These databases allow for rapid processing, enabling applications from semantic search to fraud detection, thereby enhancing user experiences and security.

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ChatGPT nears one billion users as Studio Ghibli-style AI images double weekly actives

TechSpot

In brief: If you're still dubious about the impact generative AI is having on the world, consider this: ChatGPT CEO Sam Altman recently suggested

More Trending

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Pentagon slashes $5.1 billion in contracts with Accenture, Booz Allen, and Deloitte

TechSpot

United States Defense Secretary Pete Hegseth has cut $5.1 billion in defense contracts for consulting and nonessential services. The move targets redundant agreements, with plans to shift much of the work to in-house personnel.

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The role of small language models in enterprise AI

ComputerWeekly

Small language models do not require vast amounts of expensive computational resources and can be trained on business data

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Four years in, Meta has burned through $45 billion chasing its metaverse dream

TechSpot

Insiders say the metaverse project has become a financial sinkhole, consuming $45 billion by early 2025. That's nearly equal to the combined market caps of social media rivals Snap and Pinterest or the amount Elon Musk paid to acquire Twitter. Worse, Zuckerberg warned in last year's earnings report that.

Financial 111
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Regression

Dataconomy

Regression is a powerful statistical method that plays a critical role in machine learning, particularly when it comes to making predictions and understanding the relationships between variables. By analyzing past data, regression helps us draw insights and foresight into future trends, making it invaluable across numerous fields such as economics, medicine, and meteorology.

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The AI Race Isn’t Just About Tech Superiority – Its the Supply Chain, Stupid!

The race to dominate AI is no longer about who has the smartest algorithms — it's about who can build and scale faster. Behind every AI breakthrough lies a battle for resources: data centers, compute hardware, power, and telecom infrastructure. And right now, even tech giants are hitting a wall. Our latest white paper reveals the six critical supply chain elements that are increasingly separating AI leaders from the rest.

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Microsoft research shows AI coding tools fall short in key debugging tasks

TechSpot

The Microsoft Research study acknowledges that while today's AI coding tools can boost productivity by suggesting examples, they are limited in actively seeking new information or interacting with code execution when these solutions fail. However, human developers routinely perform these tasks when debugging, highlighting a significant gap in AI's capabilities.

Research 105
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MLOps

Dataconomy

MLOps is transforming the way organizations manage their machine learning projects, providing a structured approach that ensures the smooth integration of machine learning models into the production environment. As AI continues to evolve and permeate various industries, the need for effective collaboration between teams focused on development and operations has never been more critical.

Devops 36
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Introducing the EuroStack initiative: Could this turn the tide on hyperscale cloud in Europe?

ComputerWeekly

A collaborative initiative in Europe has kicked off to take back some power from an increasingly asymmetric global tech market. Should the UK do similarly?

Cloud 91
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Chain-of-thought

Dataconomy

Chain-of-thought refers to a fascinating approach in artificial intelligence that seeks to replicate the structured flow of human reasoning. This technique plays a crucial role in how AI language models generate text, allowing machines to offer responses that appear more coherent and logical. By understanding the intricacies of thought processes, we can better appreciate the advancements in Natural Language Processing (NLP) and the ongoing evolution of AI.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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Apple Maps web app is now available on all devices, including Android

TechSpot

Initially, users could only access the Maps web app from desktops or tablets. Now, Apple has quietly dropped the beta tag from the URL and opened the service to other mobile devices, including its rival Android.

Apple 90
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Bayes’ Theorem

Dataconomy

Bayes’ Theorem is a powerful mathematical framework that allows individuals and organizations to make better decisions based on incomplete or uncertain information. By integrating prior knowledge with new evidence, it provides a systematic approach to updating beliefs and improving predictions. This methodology has profound implications across varied sectors, making it a crucial tool in statistics and data analysis.

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The FTC Wants To Break Up Meta. Users Agree.

Forrester IT

The US Federal Trade Commission sees Meta in court, starting tomorrow. Its the culmination of a nearly six-year investigation on whether Meta has a monopoly on the personal social networking market or not.

Social 259
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AI agents

Dataconomy

AI agents are transforming entire industries by leveraging the capabilities of artificial intelligence. These autonomous systems can learn, adapt, and interact with the environment, facilitating tasks that range from managing customer inquiries to optimizing healthcare outcomes. By combining machine learning algorithms and natural language processing, AI agents are quickly becoming indispensable tools in various domains.

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Conquering Tail Spend in 2025: New AI-Powered Tools and Strategies for Success

Tail spend — often unmanaged, fragmented and costly — can account for as much as 80% of total transaction volume. Without the right strategy, enterprises face hidden risks and unnecessary spend. It’s time to shift from fragmented, ad hoc purchasing to a strategic, technology-driven approach. Download this GEP-sponsored Everest Group research for insights on how your competitors are upping their tail spend management game.

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AWS, S3 익스프레스 원존 요금 최대 85% 인하··· “생성형 AI 프로젝트에 유용”

CIO Business Intelligence

S3 , , , , . AWS 10 . S3 AWS 2023 , S3 (S3 Standard) . AWS S3 (ms) , . AWS S3 , AWS (Availability Zone) . . 4 10 , . 85% . ( ) 1,000 0.0002 0.00003 . GB 0.16 0.11 31% . 1,000 0.0025 0.00113 55% . GB 0.008 0.0015 0.0032 0.0006, 60% .

Storage 246
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Out-of-distribution (OOD)

Dataconomy

Out-of-distribution (OOD) samples pose a significant challenge in the realm of machine learning, particularly for deep neural networks. These instances differ from the training data and can lead to unreliable predictions. Understanding how to identify and manage OOD data is essential in building robust AI systems capable of handling diverse and unforeseen inputs.

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샘 올트먼의 투자 포트폴리오··· ‘AI, 에너지, 항노화 그리고 에듀테크’

CIO Business Intelligence

2019 AI CEO (Oklo) (Helion Energy) , AI, , . 19 (Roopt) (Green Dot Corporation) . 2011 Y , 2014 . 2015 AI 2019 CEO . 2019 , AI AI . GPT (Ai Pin) 3 . AI B2B (Slope) (Wrap) B . AI(Rain AI) 2019 AI AI 5,100 . 2022 AI (Sperak) A , AI .

B2B 179
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Machine learning lifecycle

Dataconomy

The machine learning lifecycle is an intricate series of stages that guides the development and deployment of machine learning models. Through understanding each phase, teams can effectively harness data to create solutions that address specific problems. Numerous factors contribute to the success of this process, making it essential for data scientists and stakeholders to comprehend the lifecycle comprehensively.

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How AI Is Revolutionizing Contact Centers: 2025 Strategy + ROI Playbook

In 2025, contact centers aren’t just changing—they’re being rebuilt by AI. This no-fluff, executive-ready guide shows you how to capitalize on the transformation. Inside: proven ROI calculators, workforce optimization tactics, deflection strategies, and a 90-day AI deployment plan. Built for CIOs, COOs, CX leaders, and contact center strategists, it goes beyond buzzwords into play-by-play implementation.

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‘안티 워크’ AI 그록 3, API로 기업 시장 정조준··· 관건은 보안과 신뢰성

CIO Business Intelligence

xAI 3 API 9 . , , , LLM, . . AI , 3 . AI (adversarial input) . API , AI, . 3 API 131,072 ( ) . . -3-beta ( ): 100 3, 100 15 -3-beta : 5, 25 -3-mini-beta ( ): 0.30, 0.50 -3-mini-beta : 0.60, 4 -2 API 100 2, 10. , . 3 API , (DeepSearch) , . , (anti-woke) . , .

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Week in Review: Most popular stories on GeekWire for the week of April 6, 2025

GeekWire

Get caught up on the latest technology and startup news from the past week. Here are the most popular stories on GeekWire for the week of April 6, 2025. Sign up to receive these updates every Sunday in your inbox by subscribing to our GeekWire Weekly email newsletter. Most popular stories on GeekWire Report: Jeff Bezos sells $63M mansion near Seattle a record price for Washington state home sale Amazon founder Jeff Bezos is the seller of a $63 million mansion in Hunts Point, Wash., just east of

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트럼프 행정부, PC·스마트폰 등 IT 제품 관세 일시 완화

CIO Business Intelligence

11 , PC, , IT . 4 2 125% , . 125% , PC . PC . (Harmonized Tariff Schedule of the United States, HTSUS) . HTSUS . () 8473.30 ( 847330 ) . , , , , , . , LED, 8542 . (USITC) (usitc.gov) , . 8471 847330 8486 85171300 85176200 85235100 8524 85285200 85411000 85412100 85412900 85413000 85414910 85414970 85414980 85414995 85415100 85415900 85419000 8542 4 2 25% , . 1

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eBPF 기반 가시성 기술로 이목집중··· 그라운드커버, 추가 자금 조달

CIO Business Intelligence

2021. . CEO . , . . . , . . B 3,500 . 6,000 . R&D . . . . . . : eBPF eBPF (extended Berkeley Packet Filter) . eBPF , . (Isovalent ; 2024 ) (Cilium) . eBPF , , .

Cloud 130
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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.