Air Street Capital LLP (OC424177) (FRN 805476) is an Appointed Representative (AR) of Met Facilities LLP, which is authorized and regulated by the Financial Conduct Authority (FRN 587084).

Investors in AI-first technology companies serving the defense industry, such as Palantir, Primer and Anduril, are doing well. Anduril, for one, reached a valuation of over $4 billion in less than four years. Many other companies that build general-purpose, AI-first technologies -- such as image labeling -- receive large (undisclosed) portions of their revenue from the defense industry. Investors in AI-first technology companies that aren't even intended to serve the defense industry often find that these firms eventually (and sometimes inadvertently) help other powerful institutions, such as police forces, municipal agencies and media companies, prosecute their duties. Most do a lot of good work, such as DataRobot helping agencies understand the spread of COVID, HASH running simulations of vaccine distribution or Lilt making school communications available to immigrant parents in a U.S. school district.

Leveraging artificial intelligence (AI) provides companies with a unique and enduring competitive advantage, witnessed by the fact that AI-first companies are the world's only trillion-dollar companies. "AI is the one that compounds most quickly and is the hardest to catch up to. Once you build it, it becomes a loop and it builds itself which is why it is so powerful," he tells The Irish Times. Think rope traps and spears, tools that allowed us to go beyond our immediate physical reach to gather more food than we could with our bare hands. However, this physical leverage was limited by scale and our intellectual capacity.

June 3, 2021 - In The AI-First Company: How to Compete and Win with Artificial Intelligence, prominent venture capitalist Ash Fontana asserts that we are in the second half of a century-long cycle in the development of artificial intelligence (AI). Pointing to Google, Apple, Amazon, and other tech giants, Fontana contends that businesses in all industries will be dominated by companies that prioritize and rely upon AI in the next 50 years. That is, the world will be dominated by "AI-First Companies" – companies that focus on "collecting important data and then using that data to train predictive models that automate core functions" within their, or their customers, businesses. In Fontana's vision, AI empowers the predictive models to process the collected data to generate information, information which both provides value to the business and permits the business to generate proprietary insights. This self-reinforcing process is a "loop," which Fontana asserts is a competitive advantage, akin to a moat but more powerful because it is dynamic, capable of both widening and deepening on its own.

Title: The AI-First Company: How to Compete and Win with Artificial Intelligence Author: Ash Fontana Published: 2021 by Portfolio / Penguin What It Teaches: Ash Fontana is a managing director of Zetta Venture Partners, an investment fund focused on AI. He draws upon the lessons he's learned through the companies he's invested in and worked with to share a very broad array of observations about how companies should think about, leverage, and manage data and artificial intelligence. He introduces a new concept, data learning effects, as the driving value creator in what I call the Connected Intelligence age. When To Use It: In the book's conclusion, Fontana describes the contents of The AI-First Company as "fresh data" that leaders can "process" and combine with other inputs as they iteratively create reinforcing learning loops that enable them to create their own competitive advantage. As such, the broad array of information in the book shouldn't be viewed as perfect or a step-by-step roadmap for building a winning AI-led strategy, but rather one input among others that can help inform your strategy, if appropriately filtered and evaluated.

Artificial Intelligence is already part of our lives in the tools and services we use every day. As AI development accelerates, how can authors and small businesses use it as leverage to expand income and opportunities? Ash Fontana gives some ideas in this interview on The AI-First Company.

In recent years, it's become increasingly clear that Artificial Intelligence (AI) startups can scale to become $1 billion-plus companies. When it comes to innovation at the early-stages, there is a pressing need to differentiate between hype and actual potential for scale and impact. Today, many startups claim to be innovating through the use of AI. Whilst some succeed, others fail to deliver upon their promise. How does one go about cutting through the noise and identifying the AI startups that have the most potential for scale?

It's hard to believe that a mere 50 years ago we still relied on humans to manage telephone switchboards. What once required an army of people to operate at scale was quickly replaced by computers powered by microprocessors. Nowadays, most of us can't imagine a world where humans are required to make a telephone call. Data science is in the midst of a similar revolution. While the mathematical tools to make predictions from data have existed for centuries, and the algorithmic ones for several decades, all have required humans to manage the data inputs and interpret/iterate on the outputs.

Summary: The results are in. There is only one demonstrably successful strategy for creating big wins for AI-first companies. We'll briefly summarize the other contenders that have fallen by the wayside and then lift the curtain on the winner. For the last three years we've been close observers of exactly what makes a successful AI/ML strategy. In addition to our own observations we've been listening closely to VCs and how they describe their internal process for deciding who to fund.

Sonasoft delivers value-added AI–driven solutions targeting larger enterprises. We combine deep expertise in Data Engineering, Big Data Analytics and AI consulting. All of this is underpinned by NuGene, the world's first autonomous cognitive AI platform. Sonasoft is a publicly traded company since 2014. Your data is your most valuable resource.