Lifeboat Foundation

Though artificial intelligence has been making inroads into the enterprise, the rise of generative AI is accelerating the pace of adoption. It’s time for enterprise CXOs to consider building systems of intelligence that complement systems of record and systems of engagement.

In the last two decades, enterprises have invested in building solid foundations for managing data and information. Relational databases such as Oracle and Microsoft SQL Server became the cornerstone of information systems. Built on this foundation were customer relationship management, human resources management, supply chain management and other line of business applications that quickly became the digital backbone of… More.

This context, when combined with advanced prompt engineering, helps enterprises build intelligent AI-based assistants on the lines of Microsoft Copilot or Google Duet AI.

Continue reading “The Time Is Now: Why Enterprises Should Invest In Systems Of Intelligence” »

The discourse around Artificial Intelligence (AI) often hinges on the paradoxical duality of its nature. While it mirrors human cognition to an extraordinary extent, its capacity to transcend our limitations is awe-inspiring and unsettling. The heart of this growing field lies in the use of algorithms and the people who control these powerful computational tools.

This brings us to TIME’s recent endeavor—the TIME100 Most Influential People in AI. This meticulously curated list casts light on the people pushing AI’s boundaries and shaping its ethical framework. So when TIME magazine drops a list… More.

Source: TIME

Continue reading “Time reveals 100 most influential AI leaders” »

Researchers at the University of Chicago revealed groundbreaking developments in the field of infrared technology that could lead to cost-effective sensors soon.

Colloidal quantum dots— semiconductor nanocrystals dispersed in a liquid solution— emit various colors depending on their size and are prevalent in today’s gadgets.

Their efficiency, cost-effectiveness, and ease of manufacturing have made them popular in applications such as TVs, where visible light is the outcome.

Isaacson recounts what happened when the two people who had each held the “world’s richest man” title met to talk philanthropy.

Fifty years ago, the average business transaction was pretty straightforward. Shoppers handed purchases directly to cashiers, business partners shook hands in person, and people brought malfunctioning machines to a repair shop across the street. The proximity of all participating parties meant that both customers and businesses could verify authority and authenticity with their own eyes.

How brain enhancements can correct disabilities is an important question. But not a Closer To Truth question. What happens to personal identity? Would “I” still be me? What about moral standing? Would it change? Could my mind be uploaded? Would “I” live on?

Featuring interviews with Michio Kaku, Antonio Damasio, Leonard Mlodinow, V.S. Ramachandran and David Chalmers.

Continue reading “What Would Transhuman Brains Mean? | Episode 2113 | Closer To Truth” »

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It’s not only programming, journalism and content moderation that OpenAI is seeking to revolutionize with the use of its landmark large language models (LLMs) GPT-3, GPT-3.5 and GPT-4.

Today, the company published a new blog post titled “Teaching with AI” that outlines examples of six educators from various countries, mostly at the university level though one teaches high school, using ChatGPT in their classrooms.

An in-depth analysis of the US, Germany, and Australia shows how technology will disrupt labor markets by 2030—displacing millions of workers but creating new opportunities as well.

When it comes to preserving profit margins, data scientists for vehicle and parts manufacturers are sitting in the driver’s seat.

Viaduct, which develops models for time-series inference, is helping enterprises harvest failure insights from the data captured on today’s connected cars. It does so by tapping into sensor data and making correlations.

The four-year-old startup, based in Menlo Park, Calif., offers a platform to detect anomalous patterns, track issues, and deploy failure predictions. This enables automakers and parts suppliers to get in front of problems with real-time data to reduce warranty claims, recalls and defects, said David Hallac, the founder and CEO of Viaduct.