This week, Investing.com reported that RingCentral is exploring a take-over of 8×8. I’ve heard this rumor before and with increasing frequency, as the valuation in 8×8 and its peers have fallen through the floor. Of all the publicly traded cloud communications providers, 8×8 is the most appealing from an acquisition standpoint, as it has a good product, a decent customer base, and an absurdly low valuation. At the time of writing, the market cap is only $474 million, which includes a 7% bump from the RingCentral rumors.

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Why RingCentral Should and Shouldn’t Buy 8×8

COVID-19 permanently changed healthcare business models, creating tremendous demand for telehealth services and increasing the number of connected systems, users, devices, and applications. The modernization of healthcare is a trend I had been watching for well over a decade, but most organizations in this industry are budget-constrained and risk-adverse, which leads to long innovation cycles.

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Network Modernization is Critical to the Future of Healthcare

With its fiscal first-quarter earnings reported Wednesday, networking giant Cisco Systems Inc. started off the year with a bang.

Cisco’s numbers are always an important industry litmus test because it’s the biggest networking vendor and has the broadest portfolio. How their quarter goes is a general indicator for the direction of the network, collaboration, service provider spending and security.

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Top takeaways from Cisco’s ‘beat and raise’ first-quarter earnings

Phishing attacks—where hackers try to collect personal information using deceptive emails and links—continue to impact organizations of all sizes.

It’s been well documented that phishing as an attack vector has exploded over the past several years. SlashNext reported that over the first six months of 2022, there were over 255M attacks, a 61% increase in the rate of phishing attacks compared to 2021.

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Understanding the Business Costs of Phishing Attacks

Artificial intelligence promises to revolutionize almost all industries, but one of the use cases where it can have a significant impact is the slow and error-prone processing of medical images.

Yet AI in radiology hasn’t been broadly adopted because of the complexity of clinical workflows and the lack of industry standards. In fact, according to Nvidia Corp., 99% of medical imaging AI applications never make it to patients because they can’t be deployed at large scale.

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Nuance and Nvidia partner to improve medical imaging