#60: Here’s How AI Is Helping Make Babies By Revolutionizing IVF
Hello,
This newsletter will take you about 4 minutes to read.
I. Spotlight: Here’s How AI Is Helping Make Babies By Revolutionizing IVF
One in four couples in developing countries is impacted by infertility. About 48.5 million couples experience infertility worldwide. Today, infertility is rapidly becoming an epidemic.
In vitro fertilization (IVF) is a technique that helps people facing fertility problems have a baby. Despite IVF’s potential, the outcomes are unpredictable. To make matters worse, access to fertility care is abysmal. Even in a developed market such as the United States, just 2% of people suffering from infertility have tapped into IVF.
“IVF has been around for over 40 years,” says Eran Eshed, CEO of Fairtlity. “Despite many innovations on the biotechnology side of things, surprisingly, there has been almost zero usage of data and techniques like artificial intelligence (AI) to influence outcomes.
While data science can’t solve biological problems, Eshed believes AI will enhance the IVF process at every step where decisions are made.
Today, we’re seeing exciting applications of data science in fertility that could improve embryologists’ capacity cycle by 50% and increase the chances of live birth by 4%.
Where IVF falls short today
IVF is a fertility technique in which an egg is removed from a person’s ovaries and fertilized with sperm in a laboratory. The successfully fertilized egg–an embryo–is then implanted into a uterus to grow.
Clinicians and embryologists make many decisions at several junctures. “These decisions are based on experience, intuition, and a set of very, very rudimentary rules,” laments Eshed.
Today, there are two key challenges with IVF:
II. Industry Roundup:
1. Article: Missing The AI Forest For The Generative AI Tree
05 minutes | Forbes | Tom Davenport
Generative AI is in the limelight, and it could revolutionize content generation across sectors like law, art, entertainment, and programming. While some businesses overly focus on generative AI tools like ChatGPT, Bard, and PaLM, they often overlook traditional machine learning. It's crucial to understand that not all data, especially quantitative and sensor-based data, can benefit from generative AI. This article helps you stay clear of the hype.
2. Article: What Does It Actually Take to Build a Data-Driven Culture?
09 minutes | HBR| Mai B. AlOwaish, Thomas C. Redman
Gulf Bank's transformation into a data-driven organization, led by its first Chief Data Officer, involved developing a culture embracing data. Key strategies included a quality-first approach, training 'data ambassadors' across the company, and 'Data 101' programs to explain the impact of data quality on success. Emphasizing everyone's role as data creators and customers, the bank saw staff engagement and innovation increase. However, this cultural shift, viewed as a work in progress, has required persistence and holistic commitment from every department. While a data culture is difficult to influence, the article shows how this firm did it.
III. From my Desk:
1. Event: Invite to collaborate at the LinkedIn NYC HQ
02 min | LinkedIn
This week I was invited to the LinkedIn NYC HQ to collaborate in a creators' workshop! It was great to meet the LinkedIn product teams, learn about the roadmap, and share what moves us. Made many new friends IRL and was able to put a face to the name of so many other awesome LinkedIn Top Voices, Instructors, & Influencers. Stay tuned for the day’s learnings and tips from the team at LinkedIn.
2. Panel: Generative AI in Media & Advertising
36 min | YouTube
How is Generative AI shaping audience narratives in the media & advertising space? I moderated a panel discussion on this topic recently at Data Science Salon (DSS) NYC. DSS is an exciting conference covering AI applications in media & advertising. I discussed with media leaders how to tell hype from reality in Generative AI and some impactful areas where it’s being used today.
Interesting uses of AR in real estate. Take a look!🏗️
Thank you for subscribing and reading the newsletter. I appreciate your attention,
Ganes.
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I’m Ganes Kesari. I publish ‘Data-Driven Future’ to help understand how data shapes our world, explore key trends, and explain what they mean for you today. I speak and write to demystify data science for decision-makers and organizations.
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