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Data Science Salon for Healthcare, Finance & Technology

insideBIGDATA is pleased to announce that it is a Community Partner for the upcoming “Data Science Salon for Healthcare, Finance & Technology” virtual event (use special discount code: insideBIGDATA20 when registering). DSS Virtual Salon | Applying AI & Machine Learning to Healthcare, Finance & Technology is the only industry conference that brings together specialists in healthcare, finance and technology data science fields to educate each other, illuminate best practices, and innovate new solutions in a casual atmosphere.

Driving with Data: How AI is Personalizing the Auto Insurance Industry and Saving Lives

In this special guest feature, Gilad Avrashi, CTO & Co-Founder at MDgo, believes that now is the time for the insurance industry to leverage AI technology to unlock the power of data and provide personalized services that customers demand to retain them as loyal customers.

We All Know about AI in Medicine By Now. Here’s Why It Really Matters.

In this special guest feature, Eran Atlas, Co-Founder & CEO of DreaMed Diabetes, discusses how the rapid incorporation of artificial intelligence in medicine is no longer a novel trend, with more fields than ever developing improved solutions and protocols. Yet the intricacies of AI have often made it a difficult success story to explain to the average Joe. While AI’s huge leap forward has provided much needed clarity and assistance to medical decision-makers, its positive effects have not been as crystal clear for the general public, meaning patients and prospective patients, have no clue how it helps. This article details how AI in medicine helps and affects patients themselves, and not just the guys and gals wearing the white coats.

How Feature Stores will revolutionize Enterprise AI

In this contributed article, Monte Zweben, CEO and co-founder of Splice Machine, discusses Feature Stores which are a new MLOps technology being adopted by cutting-edge companies like Uber, Airbnb, and Netflix, and for good reason. A Feature Store is a system made specifically to automate the input, tracking, and governance of data into machine learning models.

Big Data & Credit Score: What’s Changing

In this contributed article, Magnolia Potter describes how the availability of large quantities of consumer data, also known as big data, has broad implications for the way we measure credit. No longer will consumers be tied to traditional banking for building credit. Now, all kinds of metrics can help prove credit worthiness.

High Value, Low Contact: Emerging Retail Technology for a COVID-Influenced World

In this special guest feature, Melanie Nuce, Senior Vice President of Corporate Development at GS1 US, discusses extracting maximum consumer information from store traffic while also making the experience safe and contactless. Digitizing store experiences is becoming paramount–consumers want to make the most of fewer shopping trips while technologies like AI, IoT, and sensors are coming to the forefront to support innovative consumer engagement strategies.

Scientists Publish the First Human Psychological Aging Clock Using Artificial Intelligence

Scientists at Deep Longevity published the first set of psychomarkers of aging developed using deep learning to track the changes in human psychology and assess the effectiveness of interventions, life events, and external events. The new PsychoAge and SubjAge aging clocks were linked to mortality risk.

How AI is Being Applied to Retail: Deep Learning Brings Superpowers to eCommerce with Companies like Wish and RTB House Leading the Charge

In this contributed article, Garth Holsinger, founder of Enterprise Alpha, and Partner at Prota Ventures, discusses how Deep Learning technologies are bringing superpowers to e-commerce and digital advertising platforms, and how Wish, RTB House, and Macy’s are leading the charge.

Using Analytics to Minimize Serious Injuries and Fatalities

In this special guest feature, Dag Yemenu, Executive Vice President of Products at ISN, discusses the rise of data analytics in contractor management and safety, and how this technology can help employers better understand the events related to SIFs, where they’re happening, the type of contractor that is typically affected and how to use this information to better train workers and reduce SIFs.

Can Big Data and Machine Learning Help Us Crack the Dream Code?

In this contributed article, IT and digital marketing specialist Natasha Lane, highlights how science has been investigating the phenomenon of dreams for a while and, more recently, we have even witnessed big data and machine learning being applied.