Latest Robots: VB Daily | April 25 - How a global healthcare company plans to launch medicines faster 💊 🩺

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The Lead 🗞️

[1] Novartis and Snowflake: Driving healthcare data innovation

[2] Hour One's custom digital avatars aim to transform the future of work

[3] Why conversational AI is an effective listening tool

The Follow 📰

[1] Global healthcare company Novartis is using Snowflake technology as a platform to both improve business processes and launch life-changing medicines faster.

Loïc Giraud, global head of digital platform and product delivery at Novartis, explained to VentureBeat how the company first adopted Snowflake in 2017. The company is using the technology as part of an organization-wide data and digital initiative called Formula One, which aims to digitize operations and bring data to the heart of its business processes.

Novartis is using the integrated data platform to support activities ranging from research into new drugs to creating insight that helps improve operational performance.

The company continues to explore how the technology can be used to exploit fresh opportunities and recently joined Snowflake's newly launched Healthcare Data Cloud, which aims to create an integrated and cross-cloud data platform. >> Read more.

[2] An employee logs on, spends a few minutes filming themselves speaking and gesturing, then types in text. Later, their generated digital avatar guides workers through presentations or training sessions, answers customer questions or handles sales requests.

This is the future of work, said Oren Aharon, CEO and founder of Hour One, whose self-service platform enables businesses to quickly and automatically create human-led video and full-fledged avatars.

"The ability to easily turn any person into a virtual character that can then be activated using just text will completely transform the way businesses and their customers engage each other," he said. "Very soon, any person will be able to have a virtual twin for professional use that can deliver content on their behalf, speak in any language and scale their productivity in ways previously unimaginable." >> Read more.

[3] Unstructured data is by its very nature difficult to wrangle.

But unstructured conversational data? It's one of the hardest sources of data to manage, said Amy Brown, founder and CEO of business-to-business (B2B) software-as-a-service (SaaS) startup Authenticx.

"AI allows [for] organization of this really messy data source," Brown said. Still, she said, "it takes a commitment and a desire to use that data source."

Conversational AI, often referred to as natural language processing (NLP) or natural language understanding (NLU), helps computers listen to, understand and extract meaning from human language. These tools are rapidly being adopted across enterprises as organizations look to improve customer experiences in an increasingly digital age. >> Read more.

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The Buzz 🐝

Cecilia Kang

@ceciliakang

What @ElonMusk Promises to Change:

"I also want to make Twitter better than ever by enhancing the product with new features, making the algorithms open source to increase trust, defeating the spam bots, and authenticating all humans."

https://t.co/I7jqBw0haR

12:10 PM - 25 Apr 2022

Rumman Chowdhury

@ruchowdh

I guess now that it's out of fashion to say "AI can predict trustworthiness" the moving goal narrative is now "AI can predict impressions of X" - you mean PREJUDICES my friend, I'd respect you more if you used the word instead of hiding behind overly intellectualized speech

12:39 PM - 24 Apr 2022

By The Numbers 🔢

Statistically, poor data quality leads to increased complexity of data ecosystems and poor decision-making over the long term. In fact, roughly $12.9 million is lost every year due to poor data quality.

To overcome issues related to data quality and accuracy, it's critical to first know the context in which the data elements will be used, as well as best practices to guide the initiatives along.

Here are 5 data quality & accuracy challenges: