Monday, March 8, 2021
  • Setup menu at Appearance » Menus and assign menu to Top Bar Navigation
Advertisement
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News
No Result
View All Result
NikolaNews
No Result
View All Result
Home Artificial Intelligence

Startups: Directly Automating Support; Butterfly Brings UltraSound to a Smartphone

June 19, 2020
in Artificial Intelligence
Startups: Directly Automating Support; Butterfly Brings UltraSound to a Smartphone
586
SHARES
3.3k
VIEWS
Share on FacebookShare on Twitter

Two startups: Directly uses AI to better automate customer service; Butterfly Network uses AI to turn a smartphone into an ultrasound device.

By AI Trends Staff

You might also like

Autonomous Cars And Minecraft Have This In Common  

Three Finalists Selected in $4.5 Million Watson AI XPrize Competition  

How to Meet the Enterprise-Grade Challenge of Scaling AI 

Expectations for customer service are higher today than a year ago, with the coronavirus pandemic fueling online shopping and challenging enterprise customer service operations, according to Customer Thermometer. That puts companies offering automation solutions in the right place at the right time.

Directly of San Francisco, cofounded by Antony Brydon, Jean Tessier and Jeff Patterson, offers a platform to integrate into call centers and provide a mix of automation and human support. Directly recently added $11 million in funding to bring its total investor commitment to $66.8 million, according to Crunchbase.

The Directly platform is trained by thousands of subject matter experts to analyze call center interactions and provide a degree of automation, according to a recent account in VentureBeat. The platform is designed to integrate with other customer relationship management platforms, including Microsoft’s Bot Framework, the Einstein Bot from Salesforce, and Dialog Flow from Google. These match chatbots and human agents with customers across channels.

The Directly API enables clients to insert automatic answers into messaging channels to resolve issues in real time. The AI-powered expert determines which questions are best handled by a network of subject matter experts who provide live assistance over channels.

Client Microsoft worked with Directly to build a network of Excel and Surface hardware users who could answer questions directly. The experts receive a cash incentive while Directly gets a 30% cut. The AI identifies the top performers on specific topics, which benefits those performers in the long run. Experts may get paid an average of $200 per week, with the top 5% making $2,000 or more per week, Directly has said.

“We prioritize the team over everything else,” stated Directly CEO Michael de la Cruz, in emailed comments to AI Trends. “And we solve a business problem of trying to make AI work.”

Michael de la Cruz, CEO, Directly

“Our platform helps identify and reach out to experts, folks that have a lot of contact  with the business problem. We collect that knowledge and fold it into a company’s AI.”

Directly reaches the market with a direct sales force and, more recently, through partnerships with providers of virtual agents using AI who can leverage the Directly platform for their own customers. These include Percept.ai and Smart Action, independent providers of virtual agent technology.

The company is said to be growing 10% per month over the last six months. “Business is good,” said de la Cruz. “Although there is a contraction in the economy, demand for customer service is high, so we are benefiting from the increased demand.”

Butterfly Networks Brings Ultrasound to a Smartphone

Butterfly Network, founded in 2011, offers technology to make a smartphone into an ultrasound machine for use by medical professionals. The late stage venture has raised $350 million so far, according to Crunchbase.

Butterfly was founded by Jonathan Rothberg, a biotechnology entrepreneur who previously led two companies that developed machines for sequencing DNA. Investors include Fidelity, the Gates Foundation and Fosun Pharma, a Chinese drugmaker.

Jonathan Rothberg, Founder, Chairman, Product Architect and CEO, Butterfly Network

The ultrasound device, called the iQ, referred to as Ultrasound on a Chip, is priced at approximately $2,000, plus a monthly service fee that varies by type of use. The inspiration for the iQ was personal for Rothberg, whose daughter suffered from a disease called tuberous sclerosis (TSC), which causes patients to develop tumors throughout their bodies, according to an account in Forbes. Seeing the needed treatment equipment as unwieldy, and having heard a talk on AI by MIT physicist Max Tegmark, he thought there must be a better way. He recruited one of Tegmark’s students, Nevada Sanchez, as a cofounder, and launched Butterfly Network.

Today, the iQ is in the forefront of point of care tests (POCTs), medical diagnostic testing at or near the point of care. The company is reported to have sold over 30,000 units in 2019. Dagta in the Butterfly Cloud and in the Butterfly iQ app is AES 56-bit encrypted. Butterfly Cloud is protected by HTTPS, TLS 1.2 encryption. SOC II certification secures access to the data.

The device is winning converts in the medical community. Dr. Cian McDermott, a consultant in Emergency Medicine and co-director of Emergency Ultrasound Education at the Mater Hospital in Dublin, Ireland, stated in a recent account in the Irish Times,  “When I’m using the Butterfly device, I’m not trying to replace what the radiologists are doing. Point of care ultrasound is done by physicians treating patients at the bedside and interpreting and integrating the images to their care live in real time.”

One doctor called attention to the limitations of the POCT device compared to a full radiological examination. Dr. David O’Keeffe, consultant radiologist at University Hospital Galway, stated, “When non-radiologists, for example, undertake ultrasound examination of the abdomen, it is very easy to confuse loops of bowel with gallstones.”

Read the source articles in VentureBeat, SingularityHub, Forbes and in the Irish Times.

Credit: AI Trends By: Benjamin Ross

Previous Post

AI And Machine Learning In Healthcare: Garbage In, Garbage Out

Next Post

Misleading Graphs Part 2: Ladders, Spaghetti, and Other Ways to Ruin a Graph

Related Posts

Autonomous Cars And Minecraft Have This In Common  
Artificial Intelligence

Autonomous Cars And Minecraft Have This In Common  

March 5, 2021
Three Finalists Selected in $4.5 Million Watson AI XPrize Competition  
Artificial Intelligence

Three Finalists Selected in $4.5 Million Watson AI XPrize Competition  

March 5, 2021
How to Meet the Enterprise-Grade Challenge of Scaling AI 
Artificial Intelligence

How to Meet the Enterprise-Grade Challenge of Scaling AI 

March 5, 2021
Convergence of AI, 5G and Augmented Reality Poses New Security Risks 
Artificial Intelligence

Convergence of AI, 5G and Augmented Reality Poses New Security Risks 

March 5, 2021
Survey Finds Many Companies Do Little or No Management of Cloud Spending  
Artificial Intelligence

Survey Finds Many Companies Do Little or No Management of Cloud Spending  

March 5, 2021
Next Post
Misleading Graphs Part 2: Ladders, Spaghetti, and Other Ways to Ruin a Graph

Misleading Graphs Part 2: Ladders, Spaghetti, and Other Ways to Ruin a Graph

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Recommended

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

Plasticity in Deep Learning: Dynamic Adaptations for AI Self-Driving Cars

January 6, 2019
Microsoft, Google Use Artificial Intelligence to Fight Hackers

Microsoft, Google Use Artificial Intelligence to Fight Hackers

January 6, 2019

Categories

  • Artificial Intelligence
  • Big Data
  • Blockchain
  • Crypto News
  • Data Science
  • Digital Marketing
  • Internet Privacy
  • Internet Security
  • Learn to Code
  • Machine Learning
  • Marketing Technology
  • Neural Networks
  • Technology Companies

Don't miss it

Bill establishing cyber abuse takedown scheme for adults enters Parliament
Internet Security

eSafety defends detail of Online Safety Bill as the ‘sausage that’s being made’

March 8, 2021
An Easy Way to Solve Complex Optimization Problems in Machine Learning
Data Science

An Easy Way to Solve Complex Optimization Problems in Machine Learning

March 8, 2021
Machine Learning Patentability In 2019: 5 Cases Analyzed And Lessons Learned Part 4 – Intellectual Property
Machine Learning

Podcast: Non-Binding Guidance: FDA Regulatory Developments In AI And Machine Learning – Food, Drugs, Healthcare, Life Sciences

March 8, 2021
Here’s an adorable factory game about machine learning and cats
Machine Learning

Here’s an adorable factory game about machine learning and cats

March 8, 2021
How Machine Learning Is Changing Influencer Marketing
Machine Learning

How Machine Learning Is Changing Influencer Marketing

March 8, 2021
Video Highlights: Deep Learning for Probabilistic Time Series Forecasting
Machine Learning

Video Highlights: Deep Learning for Probabilistic Time Series Forecasting

March 7, 2021
NikolaNews

NikolaNews.com is an online News Portal which aims to share news about blockchain, AI, Big Data, and Data Privacy and more!

What’s New Here?

  • eSafety defends detail of Online Safety Bill as the ‘sausage that’s being made’ March 8, 2021
  • An Easy Way to Solve Complex Optimization Problems in Machine Learning March 8, 2021
  • Podcast: Non-Binding Guidance: FDA Regulatory Developments In AI And Machine Learning – Food, Drugs, Healthcare, Life Sciences March 8, 2021
  • Here’s an adorable factory game about machine learning and cats March 8, 2021

Subscribe to get more!

© 2019 NikolaNews.com - Global Tech Updates

No Result
View All Result
  • AI Development
    • Artificial Intelligence
    • Machine Learning
    • Neural Networks
    • Learn to Code
  • Data
    • Blockchain
    • Big Data
    • Data Science
  • IT Security
    • Internet Privacy
    • Internet Security
  • Marketing
    • Digital Marketing
    • Marketing Technology
  • Technology Companies
  • Crypto News

© 2019 NikolaNews.com - Global Tech Updates