Missouri blames database error on website for COVID-19 spike

A “database extract error” resulted in an incorrect inflation of the number of reported COVID-19 cases in Missouri going back over several days, Missouri health officials said Sunday.

The Missouri Department of Health and Senior Services said in a news release that it is in the process of migrating all COVID-19 testing and case data into one new consolidated system.

The state launched a new version of its coronavirus dashboard on Sept. 28 to integrate pandemic response across public health, economic, employment and social impact indicators.

Missouri incorrectly reported Saturday on its coronavirus website more than 5,000 new COVID-19 cases, more than double the previous single-day record.

The agency said Sunday it is working urgently to resolve the issue and will update its website with the correct numbers once that is done. It said the problems with the data were limited to cumulative reporting on its Show Me Strong Covid-19 Public Health Dashboard.

The revised coronavirus numbers for Missouri are pending.

“When this issue was initially raised Saturday morning, the dashboard team began working through the data to identify the problem and are working through the weekend to correct the underlying issue,” said Dr. Randall Williams, the agency’s director. “Missourians should feel confident that we appreciate their feedback and continue to adapt our processes to ensure effective and accountable reporting to our citizens.”

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Digital Innovation Company Helps Database Service Launch DBaaS with Remote Team

Cloud database company adopts its first distributed workforce model.

Theorem, LLC, a digital innovation and engineering company, recently partnered with the NoSQL cloud database company Couchbase to help it launch its new database as a service (DBaaS) product. Couchbase publicly announced Couchbase Cloud DBaaS, its fully managed beta DBaaS offering, in February of 2020.

This press release features multimedia. View the full release here: https://www.businesswire.com/news/home/20201006005379/en/

Couchbase’s DBaaS product was developed with a remote team. (Graphic: Business Wire)

View the case study of Theorem’s work with Couchbase here: theorem.co/couchbase

Couchbase originally approached Theorem for help designing and developing a new DBaaS that leveraged Couchbase’s server and operator. The DBaaS would allow customers to easily deploy and manage Couchbase on cloud service providers such as AWS, Microsoft Azure, and Google Cloud Platform. While working with Theorem, Couchbase experienced firsthand the power of Theorem’s distributed model for collaboration. As a result Couchbase decided to structure its new workforce for the DBaaS project as a remote team.

Theorem helped Couchbase make hiring decisions while expanding its globally distributed team of eight to more than 30 contributors. Theorem also implemented new sprint cadences, reporting, and review processes for Couchbase’s new service. It prototyped the Alpha version of the DBaaS software, testing core dependencies and developing towards Beta and GA releases.

Theorem’s experience and insight helped Couchbase overcome challenges with its DBaaS development, including managing complex software design while building a remote team and strong culture, which ultimately would help them in maintaining consistent workflow during a global pandemic. Couchbase realized impressive wins amid extraordinary circumstances thanks to its partnership with Theorem.

About Theorem

Theorem, LLC is an innovation and engineering firm that builds custom software for companies making bold bets to stay ahead. Through research, lean design, and agile delivery, we make great user experiences

Golden raises $14.5M to build a wiki-style database of tech knowledge

Golden is announcing that it has raised $14.5 million in Series A funding. The round was led by previous investor Andreessen Horowitz, with the firm’s co-founder Marc Andreessen joining the startup’s board of directors.

When Golden launched last year, founder and CEO Jude Gomila told me that his goal was to create a knowledge base focused on areas where Wikipedia’s coverage is often spotty, particularly emerging technology and startups.

Gomila told me this week that “companies, technologies and the people involved in them” remain Golden’s strength. In that sense, you could see it as a competitor to Crunchbase, but with a much bigger emphasis on explaining and “clustering” information on big topics like quantum computing and COVID-19, rather than just aggregating key data about companies and people. (By the way, both TechCrunch and the author of this post have their own profile pages, though the latter is woefully empty.)

In contrast to Wikipedia, which relies on community editors, Gomila said most of the data in Golden is gathered using artificial intelligence and natural language processing: “We’re using AI to extract information from the news, from websites, from public databases.

This is supplemented by Golden staff (former TechCrunch copy editor Holden Page leads the startup’s research team), while the larger community can also pitch in by flagging things that are incorrect or need to be updated. (As one example of this “human in the loop” editing process, Gomila showed me a tool where someone could paste in an article link and Golden would automatically summarize it.)

“The ultimate aim is to try and automate as much of this as possible,” Gomila said. “[For now,] this hybrid is the most effective method.”

Golden has also started working with paying customers including private equity firms, hedge funds, VCs, biotechnology companies, corporate innovation offices

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