Lifeboat Foundation

If your work involves analyzing and reporting on data, then it’s understandable that you might feel a bit concerned by the rapid advances being made by artificial intelligence (AI). In particular, the viral ChatGPT app has captured the imagination of the general public in recent months, acting as a powerful demonstration of what AI is already capable of. For some, it may also seem like a warning about what might be in store for the future.

Undoubtedly, one of the strengths of AI is its ability to make sense of large amounts of data – searching out patterns and putting it into reports, documents, and formats that humans can easily understand. This is the day-to-day “bread and butter” of data analysts as well as many other knowledge economy professionals whose work involves working with data and analytics.

It’s true that artificial intelligence – a term that generally, in business and industry, refers to machine learning – has been used for years in these fields. What ChatGPT and similar tools built on large language models (LLM) and natural language processing (NLP) bring to the table is that it can be easily and effectively used by anybody. If a CEO can simply say to a computer, “what do I need to do to improve customer satisfaction?” or “how can I make more sales?” do they need to worry about hiring, training, and maintaining an expensive analytics team to answer those questions?

Continue reading “What Does ChatGPT Really Mean For Businesses?” »

Proto is betting that companies will view their 7-foot-tall holographic projection boxes as an alternative for in-person meetings. At least a half-dozen startups and giants like Google and Microsoft already are.

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Continue reading “Are Holograms the Next Zoom?” »

Last month, the Federal Reserve rejected crypto bank Custodia’s application to join its ranks, casting doubt over whether the Office of the Comptroller of the Currency will give final approval to crypto companies Protego and Paxos’ applications for national trust bank charters.

“The U.S. government is using the banking sector to organize a sophisticated, widespread crackdown against the crypto industry,” Carter wrote.

“And the administration’s efforts are no secret: they’re expressed plainly in memos, regulatory guidance, and blog posts. However, the breadth of this plan—spanning virtually every financial regulator—as well as its highly coordinated nature, has even the most steely-eyed crypto veterans nervous that crypto businesses might end up completely unbanked, stablecoins may be stranded and unable to manage flows in and out of crypto, and exchanges might be shut off from the banking system entirely.”

In case you haven’t heard, artificial intelligence is the hot new thing.

If anything, this breakneck pace is only accelerating. Five years from now, the field of AI will look very different than it does today. Methods that are currently considered cutting-edge will have become outdated; methods that today are nascent or on the fringes will be mainstream.

Continue reading “The Next Generation Of Artificial Intelligence (Part 2)” »

He has spent a career trying to return Microsoft to the pinnacle of tech | Business.

The advancement in technology has resulted in organizations relying on programming languages like never before. With programming in place, organizations are in a position to achieve their business goals way easier than before. If you are aspiring to become a good programmer then it is important to have a fair understanding as to which are the most in demand programming languages in the market. In this article, we will talk about top 10 open-source programming languages you should know in 2023.

Python

Python is a server-side language that has a wide range of applications to boast about. Be it simple scripting or advanced web applications, Python has got you covered. Python has made it way easier for the developers to use various programming styles including reflecting, functional, etc. It is considered one of the easiest and most marketable programming languages to learn.

Getty Images, a global stock photo giant, has filed a lawsuit against Stability AI, the business that created the well-known AI image generator Stable Diffusion.

The stock agency claims that over 12 million of its copyrighted images—along with their descriptions and metadata were used to train Stable Diffusion, seeking $1.8 trillion in compensation, according to the lawsuit made public on Monday.

With Bard, its newly launched “experimental conversational AI service,” Google is scrambling to ship AI products. But past scandals, botched launches and a talent drain have put it in a surprise position: playing catch-up in a field it helped create.

In 2016, a few months after becoming CEO of Google, Sundar Pichai made a sweeping proclamation: Google, whose name had become synonymous with search, would now be an “AI-first” company. Announced at Google’s massive I/O developer conference, it was his first major order of business after taking the company reins.

What AI-first meant, exactly, was murky, but the stakes were not.

Amid other A.I.-focused announcements, Google today shared that its newer “multisearch” feature would now be available to global users on mobile devices, anywhere that Google Lens is already available. The search feature, which allows users to search using both text and images at the same time, was first introduced last April as a way to modernize Google search to take better advantage of the smartphone’s capabilities. A variation on this, “multisearch near me,” which targets searches to local businesses, will also become globally available over the next few months, as will multisearch for the web and a new Lens feature for Android users.

As Google previously explained, multisearch is powered by A.I. technology called Multitask Unified Model, or MUM, which can understand information across a variety of formats, including text, photos, and videos, and then draw insights and connections between topics, concepts, and ideas. Google put MUM to work within its Google Lens visual search features, where it would allow users to add text to a visual search query.

“We redefined what we mean to search by introducing Lens. We’ve since brought Lens directly to the search bar and we continue to bring new capabilities like shopping and step-by-step homework help,” Prabhakar Raghavan, Google’s SVP in charge Search, Assistant, Geo, Ads, Commerce and Payments products, said at a press event in Paris.