Lifeboat Foundation

Artificial intelligence today is spreading like wildfire. New and more powerful applications are emerging almost daily, and people are interacting with AI more in their everyday lives.

All of this is very exciting for modern enterprises, which have reinvented themselves as digital powerhouses post-pandemic. Still, digital transformations don’t happen overnight, and tech companies—and SaaS models in particular—were the saving grace of businesses sprinting to align their customer experiences with new consumer expectations and data-driven capabilities.

But AI is a different animal. Not only does it require huge sums of data, but it also requires a new approach to how that data is obtained and managed within the enterprise. Businesses expecting a simple “build it and leave it” experience with AI are in for a shock, and many will undoubtedly ask, “Can SaaS deliver AI at speed and scale?”

Research on “micro-nature” — the incorporation of small, affordable natural elements into workplaces — demonstrates its positive impact on employee performance and well-being. Studies show exposure to nature at work boosted productivity, helpfulness, and creativity, with no evidence of negative effects. Recommendations include both real and artificial nature, extending beyond the office environment, utilizing underused spaces, and encouraging nature exposure outside work hours. The integration of nature in workplaces enhances overall business performance.

Page-utils class= article-utils—vertical hide-for-print data-js-target= page-utils data-id= tag: blogs.harvardbusiness.org, 2007/03/31:999.360409 data-title= Research: A Little Nature in the Office Boosts Morale and Productivity data-url=/2023/07/research-a-little-nature-in-the-office-boosts-morale-and-productivity data-topic= Workspaces design data-authors= Anthony Klotz; Shawn McClean; Pok Man Tang data-content-type= Digital Article data-content-image=/resources/images/article_assets/2023/07/Jul23_19_MaryHaasdykVooys-383x215.jpg data-summary=

Simple acts like adding flowers to the break room or landscaping the area outside employees’ windows can foster a healthier work environment.

Generative AI is gaining momentum across various sectors due to its potential to streamline workflows, automate creative processes and unlock new opportunities. From art and entertainment to healthcare and manufacturing, industries are recognizing its transformative capabilities.

It’s clear that generative AI is on the path to becoming a commodity. However, not all generative AI is the same, and it’s expected to split into two distinct categories: horizontal and vertical. Horizontal AI models, such as ChatGPT and Google Bard, are becoming increasingly ubiquitous—finding applications across various industries due to their generalized capabilities. On the other hand, vertical AI models are designed to be more specialized and tailored to specific industries—offering significant and more immediate ROI.

This distinction between horizontal and vertical AI models highlights the growing need for industry-specific solutions as businesses seek to leverage the power of AI to optimize their operations and unlock new opportunities for growth.

In the 1990 fantasy drama — Truly, Madly, Deeply, lead character Nina, (Juliet Stevenson), is grieving the recent death of her boyfriend Jamie (Alan Rickman). Sensing her profound sadness, Jamie returns as a ghost to help her process her loss. If you’ve seen the film, you’ll know that his reappearance forces her to question her memory of him and, in turn, accept that maybe he wasn’t as perfect as she’d remembered. Here in 2023, a new wave of AI-based “grief tech” offers us all the chance to spend time with loved ones after their death — in varying forms. But unlike Jamie (who benevolently misleads Nina), we’re being asked to let artificial intelligence serve up a version of those we survive. What could possibly go wrong?

While generative tools like ChatGPT and Midjourney are dominating the AI conversation, we’re broadly ignoring the larger ethical questions around topics like grief and mourning. The Pope in a puffa is cool, after all, but thinking about your loved ones after death? Not so much. If you believe generative AI avatars for the dead are still a way out, you’d be wrong. At least one company is offering digital immortality already — and it’s as costly as it is eerie.

Continue reading “AI could give us digital immortality but we probably don’t want it” »

The supercomputer is part of the larger constellation of inter-connected supercomputers with a combined capacity of 36 exaFLOPS.

Abu Dhabi-based technology holding group G42 has unveiled the world’s fastest supercomputer, the Condor Galaxy-1 (CG-1), which has 54 million cores and a processing capacity of four exaflops, a press release said. The supercomputer is located in Santa Clara, California, and will be operated by Cerebras, a US-based AI firm under US laws.

As artificial intelligence (AI) technology takes center stage, there is a strong demand for supercomputers to help businesses train their own models. Companies like Microsoft have offered to build the extremely expensive infrastructure and rent it out for companies to work on them.

Data captured and fed into an AI model should be used to shape and inform marketing programs for the betterment of the customer’s experience. Such a practice enables marketers to utilize valuable information but doesn’t put data privacy at risk. Humans maintain control and can add their own handprint to AI-generated content to develop something much more meaningful that resonates with targeted audiences. Within that construct, marketers must bring the heart and the emotional intelligence to generative AI if they want to maximize its potential while maintaining ethical boundaries.

Human-connected generative AI is poised to be the ultimate tool if used responsibly. It can recognize patterns and insights and develop recommendations for actions, effectively making workers smarter and better at their jobs.

Most businesses see generative AI’s capabilities as opportunities to do more with less. Now it’s time to take the next step forward, connecting data insights with personalized content to ethically move through the pipeline at a new level of speed and efficiency—and in a manner that’s rewarding and enriching for customers.

The technology is not aimed at streaming high-quality videos but is helping businesses become more competitive.

China built a whopping 600,000 5G base stations in the last three months as it raced to achieve its target of three million before the end of the year, the South China Morning Post.

5G is the terminology used to denote the fifth generation of mobile network technology that can support high-speed broadband internet with low latency. Unlike its predecessors, 5G mobile networks have massive network capacities and can deliver a uniform user experience.

Bloomberg connects decision makers to a dynamic network of data, delivering business and financial information, news and insights globally.

The more competition the better. Download and spread around the world so large companies cant seal away competition under a cloak of AI safety.

Meta, the company formerly known as Facebook, has recently announced that it is open-sourcing its large language model (LLM) called LLaMA 2, making it free for commercial and research use. This move is seen as a direct challenge to OpenAI’s ChatGPT, the popular chatbot powered by the GPT-4 model, which is not open-sourced and requires a subscription fee to access.

LLaMA 2 is a generative AI model that can produce natural language texts based on a given input or prompt. It can be used for various applications such as chatbots, content creation, summarization, translation, and more. LLaMA 2 is the second version of Meta’s LLM, which was first released in February 2023. According to Meta, LLaMA 2 was trained on 40% more data than LLaMA 1, which includes information from “publicly available online data sources”. It also claims that it “outperforms” other LLMs like Falcon and MPT when it comes to reasoning, coding, proficiency, and knowledge tests.

Continue reading “Meta open-sources LLaMA 2 to compete with ChatGPT” »