Friday 1 October 2021

VB Daily | October 1 - AI funding booms to $75B, thanks to πŸ‡¨πŸ‡³ and πŸ‡ΊπŸ‡Έ

Daily Roundup
Presented by   
The Lead
[1] U.S. and China lead AI funding as the pot booms to $75B
[2] Zoom's planned $14.7B acquisition of contact center Five9 is off
[3] Educational targets hit by rising cyberattacks in 2021
The Follow
[1] Investments in AI are growing at an accelerated pace, according to a new report from the Organization for Economic Cooperation and Development (OECD). According to the findings, the global annual value of VC investments in AI startups grew from $3 billion in 2012 to nearly $75 billion in 2020. Funding increased 20% last year alone.
The Paris, France-based group found that the U.S. and China lead the growing wave of funding, taking in a combined 81% of the total amount invested in AI startups last year. The European Union and U.K. boosted their backing, but lag substantially behind.
OECD's study analyzed VC rounds in 8,300 AI companies worldwide, covering transactions between 2012 and 2020 that were documented by capital market analysis firm Preqin. The report also found that growth in AI investment in U.S.-based firms has been steady since 2012, reaching $42 billion in 2020. Chinese companies experienced a spike in 2017 and 2018, followed by a slump in 2019, and represented $17 billion in 2020. >> Read more here
[2] Less than three months after announcing plans to acquire cloud contact center Five9 for a hefty $14.7 billion, Zoom today confirmed the deal is off.
Five9, a publicly traded company, failed to gain enough shareholder support to push the deal forward. But the decision also follows growing scrutiny from U.S. authorities which were looking into Zoom's ties with China – where the company has a major R&D hub. Founder and CEO Eric Yuan was also born in China, although he is a long-time U.S. resident and citizen. Adding fuel to the fire, U.S House Speaker Nancy Pelosi last year referred to Zoom as a "Chinese entity."
With a major player like Five9 under its wing, Zoom was hoping to go all in on the enterprise communication vertical to target the $11.5 billion cloud contact center market. Now that the deal is off, the path forward in the contact center space might be a little rockier for Zoom. But Yuan insisted the company is still committed to that trajectory and will continue its existing partnerships with the likes of Five9, Genesys, Talkdesk, and Twilio. "The contact center market remains a strategic priority for Zoom, and we are confident in our ability to capture its growth potential," Yuan said in a press release. "We are building this new solution with the same scalability and trusted architecture that has made Zoom the platform of choice for businesses around the world." >> Read more here
[3] Educational institutions are on pace for a record year of ransomware attacks in 2021, with K-12 schools the primary targets. While contributing to better educational outcomes, successful one-device-per-student and learn-from-anywhere programs have expanded the attack surface for cyber threats of various kinds.
Bad actors prioritize elementary schools because they're underfunded when it comes to cybersecurity staff and systems, and administrators are often impatient to put attacks behind them and resume classes. According to Sophos' "The State of Ransomware in Education 2021," the typical educational institution pays an average $112,435 ransom payment to get data back and networks running again. In addition, bad actors encrypt the personal identities and financial data of students, parents, and administrators as part of ransomware attacks, at times threatening to publicly release such data to further pressure victims into paying the ransom.
Another fascinating aspect is how school districts' IT and cybersecurity teams are being pulled in multiple directions as they strive to secure the identities of their students, teachers, and administrators. Another study from Absolute Software makes it clear that one-device-per-student strategies are a challenge for IT teams. In many cases, Google Chromebooks have dominated new device adoption. CIOs told VentureBeat the ability to lock down selective Chromebooks that are at-risk endpoints is a must-have feature as their online student populations grow. Meanwhile, devices of all kinds can challenge administrators, especially if the devices are overloaded with applications. Overloading endpoints with too much software makes them less secure. >> Read more here.
A look into Snowflake BUILD Summit 2021, the data cloud dev conference
The Buzz
Kevin Collier
It is October 1, the first day of Cybersecurity Awareness Month.

You are now aware of cybersecurity.
Jathan Sadowski
Way too many critical academics who should know better just wilfully accept the assumption that the increasing spread of AI/ML/automation/etc to all domains is "inevitable" and "here to stay." That's already ceding essential ground. I will always believe we can stop the spread.
MMitchell
Really easy-to-read article by @SageLazzaro harmonizing the ideas on what AI Ethics needs according to me, @timnitGebru, @baxterkb, and @alicexiang. Worth a look. Honored to be included with these women (and hey, we're all women and the article isn't about being a woman!) https://t.co/Eg6wdNupo4
A look into Day 2 of Snowflake BUILD Summit 2021, the data cloud dev conference
Sources Say
Apple has been slowly but surely creating a name for itself in the low-code/no-code movement. This July, the Cupertino-based company announced the launch of Trinity AI, a no-code platform for complex spatial datasets. Trinity enables machine learning researchers and non-AI devs to tailor complex spatiotemporal datasets to fit deep learning models. Fusemachines CEO Sameer Maskey, who also teaches AI as an adjunct associate professor at Columbia University, sees Trinity as a great way for developers to use machine learning in their apps. VentureBeat asked Maskey for his take on Apple's platform and what it means for the future of AI and  the low-code/no-code industry. 
Below is an excerpt, and you can read the full conversation here.
VentureBeat: Can Trinity really be used in a professional setting? Can we trust its prediction models or will it need fine tuning?
Maskey: Trinity and other similar platforms are professional systems, and for some problems, they work really well. They are good enough even for production grade systems. But in many cases, they're not in the sense that they will provide maybe 5% less accuracy than an engineer who would tweak at the very low level on how the machine learning system is built. And they are able to squeeze out an additional 5% accuracy, which might be a difference in the competitive world where you're charging money for the API.
Hear from CIOs, CTOs, and other C-level execs on data and AI strategies
 
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