AI Publications

🔗https://shre.ink/Wharton-GenAI-adoption-into-the-Enterprise

1. Context

The report arrives at a pivotal moment: After years of experimentation and hype around generative AI (Gen AI), enterprises are now moving into the deployment and value-capture phase.

The study’s authors note that organizations are no longer just testing tools—they are integrating Gen AI into core workflows, scaling up investment, tracking returns, and facing the real challenge of aligning people, processes and trust. In this sense, the report positions 2025 as the year of “accountable acceleration” rather than mere promise.

2. Study Objectives and Methodology

The core goals of the research were to take the pulse of enterprise Gen AI adoption—building on Wharton’s prior waves in 2023 and 2024—and to focus on usage, perception, investment, governance and human-capital dimensions.

🔗https://shre.ink/Google-Space-AI-Infrastructure

1. Introduction

Google frames AI as a foundational technology that will reshape many domains — science, business, society — and asks: where can we go to unlock its fullest potential?. Their answer: perhaps the best place to scale AI compute is space.

They point out that the Sun emits more power than 100 trillion times humanity’s total electricity production, and that in certain orbits a solar panel can receive up to eight times more annual energy than on Earth. With this in mind, their “moonshot” initiative, called Project Suncatcher, envisions constellations of solar-powered satellites, each carrying high-performance TPUs (Tensor Processing Units), connected by free-space optical links — in effect, a data-centre in orbit.

2. System design and key challenges

2.1 Achieving data centre-scale inter-satellite links

Cryptocurrency and AI: A Converging Future

Cryptocurrency and AI might seem like two worlds apart but increasingly they are converging. Companies that once focused solely on mining Bitcoin are now eyeing High-Performance Computing (HPC) and AI infrastructure as the next frontier for growth.

Take Bitfarms (NASDAQ: BITF) as a prime example. Known for powering Bitcoin transactions in Quebec, Canada, the company has pivoted to leverage its data centers, energy assets, and U.S. power campuses to provide HPC and AI infrastructure services. Essentially, Bitfarms is transforming its crypto mining assets into the computing backbone for AI, a market exploding in demand.

Why Crypto Players Are Jumping In

Crypto miners are natural candidates for AI infrastructure:

They already operate large scale data centers optimized for continuous high intensity workloads.

Control de Llamadas – La Clave para una Comunicación Eficiente

El control de llamadas (Call Control) es un componente esencial en los sistemas modernos de telecomunicaciones y redes empresariales. Su función principal consiste en gestionar el establecimiento, mantenimiento y finalización de las llamadas de voz y video entre usuarios o dispositivos. Este proceso no solo garantiza una comunicación fluida, sino que también optimiza el uso de los recursos de red, mejora la calidad del servicio y aumenta la productividad en entornos corporativos.

¿Qué es el Control de Llamadas?

El control de llamadas es el conjunto de protocolos, software y hardware que coordinan cómo se originan, dirigen, supervisan y terminan las llamadas dentro de una red. Este sistema se encarga de administrar el flujo de datos y las señales necesarias para establecer una conexión entre dos o más puntos.

En términos más simples, el control de llamadas decide quién puede hablar con…