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Welcome to The Interchange! If you received this in your inbox, thank you for signing up and your vote of confidence. If you’re reading this as a post on our site, sign up here so you can receive it directly in the future. Every week, I’ll take a look at the hottest fintech news of the previous week. This will include everything from funding rounds to trends to an analysis of a particular space to hot takes on a particular company or phenomenon.
This year, private equity firms have acquired five public software companies, totalling $38b in value. Seven months into 2022, these figures exceed last year’s totals, something I wondered about last month. Since these transactions’ details are public, we can use them to infer how the private software market values companies. Company. Acquirer.
AI’s strength lies in its predictive prowess. Fed enough data, the conventional thinking goes, a machine learning algorithm can predict just about anything — for example, which word will appear next in a sentence. Given that potential, it’s not surprising that enterprising investment firms have looked to leverage AI to inform their decision-making.
Last year was record-breaking for the cybersecurity market. Data from Momentum Cyber, a financial advisory firm for the security industry, showed that cybersecurity startups raised a “record-shattering” $29.5 billion in venture capital in 2021, more than doubling the $12 billion raised in 2020, while a record number — including Dragos and Noname Security — were minted as unicorns.
Speaker: Lee Andrews, Founder at LJA New Media & Tony Karrer, Founder and CTO at Aggregage
This session will walk you through how one CEO used generative AI, workflow automation, and sales personalization to transform an entire security company—then built the Zero to Strategy framework that other mid-market leaders are now using to unlock 3.5x ROI. As a business executive, you’ll learn how to assess AI opportunities in your business, drive adoption across teams, and overcome internal resource constraints—without hiring a single data scientist.
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