Narrative Science has over 70 current or pending patents associated with natural language in creating its user interface focused on letting people see analytic results as plain language stories in its Lexio product: narrativescience.com/lexio/
One of the most interesting things about Narrative Science is that it's an academic project pioneer that ended up being a market leader as well, similar to Tableau and Databricks, but in a slightly nichier market. This is hard: many primary technologies fail as companies
But one of Narrative Science's biggest challenges has always been that the people who appreciate Lexio most are line-of-business users, but the leading LOB technologies are enterprise SaaS applications & not analytics solutions. So, there's a mismatch between buyer and seller
The Salesforce acquisition solves this problem and hopefully puts Narrative Science front-and-center for the executive suite where it can be positioned more like Domo as a solution for business managers & leaders to understand the story of their data.
This acquisition will help push the concept of "data storytelling" forward. For 200 years, data storytelling has meant building a visualization & explaining the picture that is worth a thousand words. Now, we can move closer to the actual story, wordsmithing, and explicit context
And Narrative Science is part of an important sea-change happening in #analytics right now where natural language, decision management, business context, ML modeling, & analytic data variety are all taking giant steps all at once.
It's not a perfect comparison, but this feels to me a bit like Facebook's acquisition of Instagram. Salesforce bought a relatively small company that was changing the game from an interface perspective & now has the infrastructure to push it from a niche to a global standard.
Since this purchase is in the "intent to acquire" stage, Tableau and Narrative Science can't share details on product plans yet. But it will be interesting for Narrative Science to work more closely with Tableau & MuleSoft as a reference model.
No. Just no. Why are @ESPN & @RobDemovsky protecting an unapologetic public #COVID spreader? COVID is still killing over 1,000 people a day in the US and Aaron Rodgers' stance is "I got away with being pro-COVID"
This is not a controversial or divisive topic. 80% of Americans have at least one #COVID vaccination shot.
The niche remainders are the ones keeping America from fully opening up again by being 8x more likely to catch, spread, and mutate the virus.
Everything the mass media does to normalize a ridiculous anti-vaccination and pro-COVID stance slows down America's ability to get back to normal and stop COVID from being deadlier than cancer.
2) It's amazing to see how quickly @DominoDataLab has grown over the past three years. We remember when they were *launching* a data science framework because DS was still so immature that team-based practices were still in infancy: amalgaminsights.com/2018/06/18/dom…
3) One of the things we like most about this funding round is that Great Hill is its experience in both investing and scaling in data-driven software companies. It's smart money with experience growing into billion dollar valuations.
Although Nuance is best known for its Dragon software, the initial value here comes from the healthcare relationship that has blossomed since 2019 news.microsoft.com/2019/10/17/nua…
Over time, Microsoft will gain additional value in integrating Nuance with Teams, Dynamics, Linkedin, and Power BI to create a variety of speech-based inputs & interfaces.
Apple fails to market the iPhone 12 Pro to the average consumer
My take: One of Apple's traditional strengths has been translating technical capabilities into household tasks. That seems to be receding with time. (Add'l analysis below) cnbc.com/2020/10/14/app… by @jbursz 1/7
The odd part is that the technical capabilities of the iPhone 12 do translate to a more personal phone: take the outdoors home with you, augment your world, get a smarter phone. 5 nm chips are much smarter than any other iPhone ever. 2/7
But Apple fell for the hype of its partners with 5G and 5nm rather than the personal, high-end, affordable luxury game changer branding that has made Apple a juggernaut. 3/7
I like this approach because, frankly, Oracle has to differentiate its Cloud offerings to stand out when Amazon, Microsoft, & Google obviously also have strong offerings. Moving past commodity storage & compute to also have a differentiated real-time cloud is smart.
And I think there's a new generation of streaming applications that are going to come out of the #COVID19 quarantine as we become more used to video & audio content. For instance, just imagine Twitch-like payments on Zoom & other meeting solutions which will require faster cloud
2) this acquisition shows @datarobot's perspective that data prep is more of a feature than a market. Just as every enterprise app platform needs BI, every standalone AI platform will require prep.
3) Paxata's product roadmap was already heavily AI focused, both in providing AI-enabled prep and in aligning data prep to AI model selection. This acquisition will accelerate Paxata's progress.