[1] Today, on
World Password Day, Google unveiled its vision for a passwordless future and announced plans to implement passwordless authentication options on Chrome and Android.
This announcement comes as Apple, Google and Microsoft have publicized their commitments to support the common passwordless sign-in standard created by the FIDO Alliance and the World Wide Web Consortium, which aims to encourage technology vendors to offer consumers passwordless sign-in opportunities.
For enterprises, Google's move away from
passwords not only reduces the chance of credential theft on Chrome and Android, but also highlights that the era of using passwords to control access to resources is coming to an end.
The reality is that hackers find it easy to steal passwords and can routinely harvest login credentials with phishing scams and brute force hacks because
password-driven security relies on gating access to services around a piece of information the user knows.
Password-based security measures have long failed to control user access to resources. An audit of the dark web found that there were
15 billion stolen passwords online just last year alone.
>> Read more. [2] Today, Domino Data Lab's CEO, Nick Elprin, announced the enterprise
MLops leader's latest platform, Domino 5.2.
The release, which will be generally available to customers in June 2022, includes 12 new capabilities to allow
data science and IT teams to develop and deploy more models at
a faster pace; reduce data and infrastructure complexity and costs; and extend autonomous model performance monitoring to Snowflake's Data Cloud.
"What both data science and IT leaders want is the best of both worlds – they want to be able to run computers in the
cloud but also workloads
on-prem[ises]," Elprin said. "They want the security of segmented data infrastructure, but with the convenience of a single way to access data and without the complexity of data stacks. And they want to move to the cloud but incrementally, without the risk of lock-in."
>> Read more.
[3] Logseq's
open-source knowledge base enables users to create tasks, manage and store notes or to-do lists, embed pages, annotate PDFs and create links between all the information contained within, to create a free flow of information.
The company's knowledge base is conceptually more akin to a global wiki that stores data "
like a human brain" — a graph of nodes consisting of myriad interconnected concepts. It also supports visualizations based on a graph database, allowing users to express particular tasks and sub-tasks on a graph that shows their interconnectedness. It can be accessed via a desktop app or native iPad / iOS app and can be used to write and connect just about any type of
text-based note.
In the coming weeks, Logseq is gearing up to launch features to better support real-time collaboration, enabling teams to edit notes on their Logseq
knowledge graphs concurrently, a little like Google Docs.
"Logseq is great at helping teams work on datasets together — it's even better at allowing multiple teams to work on the same dataset," said cofounder and CEO, Tienson Qin.
>> Read more. 
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