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Ask the Experts: How Will Artificial Intelligence Redefine Your Industry?

Ask the Experts: How will Artificial Intelligence Affect Your Industry?

In an ongoing series, scientists, industry leaders, academics, and entrepreneurs answer fascinating questions about their areas of interest. Got insight you’d like to share? Become a Propel(x) expert.

A few weeks ago, we asked our Propel(x) experts to give us some insight into the ways Artificial Intelligence (AI) could impact their industry. Here at Propel(x), we are big fans of artificial intelligence and the promise the technology has made to automate and predict  through pattern recognition and self-learning.

AI is like that kid in Mercury Rising who can look at a page of jumbled nonsense and crack the government’s most expensive code ever.  Codes and patterns come in all shapes  and  sizes  —   from  Bach’s  music  to  Coachella  band  names to diagnosing tuberculosis to self-driving cars.

Many economists and experts are warning of mass unemployment as automation becomes more integrated in our lives. Even the UN opened a Centre of Artificial Intelligence and Robotics to monitor the situation. As computers become increasingly  capable  of  doing  all  sorts  of  human-like  things,  it’s  no  surprise  that people across all sorts of industries are starting to wonder whether they’ll soon be replaced.

Frankly, they should wonder. We…  all…  should…

Looking ahead a few decades, however, futurists disagree over whether the loss of jobs will create a destabilized dystopia of unemployment or a new renaissance of instant-retirement and a Star Trekian ability for humans to pursue their passion projects.

We at Propel(x) thinks it’s the latter. To be sure, the rise of AI-powered automation will redefine the meaning of work over the next few decades but it will also bring forth a wave of new innovations that humankind has to yet to achieve for ourselves.

Below, we’ve gathered a collection of some of those innovations, which we consider reason enough for a little AI optimism. Most of our respondents located their answer within Medtech, so if you need a primer on that be sure to read our medtech overview for a little more information.

Enjoy!

Artificial Intelligence for Parametric Design

Sam Ximenes

Master of Space Architecture from Texas A&M University
CEO of Exploration Architecture Corporation

 

Ed Bass

MSME from University of Texas
Professor of Advanced Manufacturing at Hagerstown Community College

“In products and processes, as well as engineering and manufacturing, I expect AI to become a feature and eventually a necessity. Products with AI will help users get the most utility from them without requiring the user to learn how the software works. In fact, software with AI will reduce the training required of users. This will be very important in fields like CAD, CAM, and simulation. Processes with AI will also reduce the skill required of operators. The sensors that allowed hardware to be smart will be the key to making AI learn the processes it is required to execute.”

READ MORE:  Ask the Experts: What's the Biggest Deep Tech Innovation You Expect to See From Universities This Year?

AI for Supply Chains

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Amit Kumar

MS in Systems Architecting from the University of Southern California
Founder and CEO of Antarriksh, Inc.

“Deep Learning will significantly enhance the detection-to-decision-making lifecycle for industrial asset health management in automotive, energy, continuous process manufacturing, and transportation markets.”

Dr. George Lazarovits

PhD in Botany (Plant Pathology) from University of Toronto
Research Director

“It will be in all farm machinery and production systems.”

AI for Sports Medicine

 

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Dr. Aleck Alexopoulos

PhD in Chemical Engineering from Purdue University
Principal Research Scientist at CERTH and CEO of ErgoSensePro

“Despite the significant efforts to develop first-principles approaches—Specifically in the area of sports training and performance—there are broad gaps between disciplines where experimental trials and empirical rules are the available tools. AI and machine learning could become capable of bridging these gaps in the coming decade, e.g., between deep athlete evaluation and performance or training or rehabilitation.”

 

AI for Image Processing

 

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Johnny Wang

Bachelor in Computer Science from the University of British Columbia
CEO of Liquid3D

“Image classification will advance machine vision greatly to allow advancement in broad scope of applications. AR technologies will push contextual information to the user.”

 

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Dr. Euan Smith

PhD in Nonlinear Optics from Heriot-Watt University
Director of Technology at Light Blue Optics

“Enhancements to collaboration tools through technologies to interpret content and virtual assistants.”

 

AI for Medicine

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Michael Leung

MS in Mechanical Engineering from Stanford University
Hardware Engineer

“Artificial intelligence will augment radiologists’ ability to read and diagnose medical charts and images. Artificial intelligence through neural nets and machine learning can achieve higher accuracy and faster diagnostics than humans.”

 

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Dr. Justin Doel

PhD in Biochemistry from the University of Bath
Manager Clinical Supplies at PPD

“I think that we will start to see automation of many clinical trial set up tasks, and hopefully simplification, directly from protocol to systems set up.”

 

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Dr. Bogdan Barnych

PhD in Chemistry from Claude Bernard University Lyon
Project Scientist at UC Davis

“AI has already been proven to be useful for the development of the small molecule and protein therapeutics (as well as other chemistry fields). I expect that ever-growing computational power together with new developments in AI algorithms will make this technology broadly available and reliable thus fueling new discoveries across the chemistry fields.”

 

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Dr. Larry K. Wray

PhD in Genetics from the University of Texas at Austin
Principal at Wray IVD Consulting

“The medical field is in real need for artificial intelligence to play an immediate and integral role. Data is expanding—some say exploding—and answers are there which could significantly improve healthcare, including better health maintenance. Better analysis tools including artificial intelligence will be needed to make sense of all of this [data] and provide actionable outputs in a reasonable timeframe. This applies to precision medicine, liquid biopsy and any area which captures a large amount of data, be it proteomics panels, sequence data, or combining data from laboratory analysis with medical records and other sources.”

READ MORE:  Why Emergent Bias in Machine Learning Should Terrify You

 

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Dr. Victor Solovyev

PhD in Computational Genetics from the Institute of Cytology & Genetics
Chief Science Officer at Softberry, inc.

“Artificial intelligence will improve the speed of drug recovery.”

 

 

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Dr. Thomas Novak

PhD in Molecular Biology from Caltec
Advisor to Summer Road, LLC

“AI has the potential to accelerate the discovery of new (and better) drug targets and improve the safety and utility of both consumer products and specialized technical instrumentation. To my limited knowledge, blockchain will improve the speed and security of online transactions which is no small feat. AI, on the other hand, could both improve current technologies and create new ones.”

Faisal Zaidi

MBA Marketing Management from IGNOU
Centralized Monitoring Lead

“AI is going to play a greater role in the drug development process considering that the clinical trial industry is focusing on remote clinical trial monitoring.  Costs will significantly go down along with real time data access. Additionally, AI would help in predicting diseases for a particular community, race, etc. based on their lifestyle.”

 

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Dr. Kuo-Chan Hung

PhD in Genetic, Molecular and Cellular Biology from the University of Southern California
Research Associate at SEAS Harvard

“Machine learning will change the way to analyze and extract the information from enormous biological data, such as genomics, transcriptomics, and proteomics. This will revolutionize the way we look at the data and the interpretation of data to guide experimental or clinical design.”

 

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Jason Barbour

PhD in Clinical Machine Learning from UC San Francisco
CEO of Sympatica Medicine

“AI will continue to evolve into effective solutions for multiple steps in the delivery of medicine. This will span everything, from AI enhancement of new drug targets, to enhanced small molecule and biologics optimization, to toxicity and potency optimization, improved diagnostics, and finally, AI-enhanced tracking of individualized responses to medical treatment.

AI will make it possible to use much more complex, high resolution measurements of the body, allowing us to make entirely new rules of insights into human health.”

 

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Neil Sehgal

PhD Health Services and Policy Analysis from UC Berkeley
Assistant Professor of Health Services Administration

“AI will help extend the reach of the healthcare system, enhancing interactions between patients and providers when necessary, and replacing providers where possible. Cost is still the principal problem plaguing healthcare; by automating many of healthcare’s repetitive cognitive tasks (e.g., reading and interpreting diagnostic imaging), we can more efficiently allocate the clinical labor force, extending the reach of the healthcare system to include more people. AI will also help reframe the experience of care, helping patients make better health-related decisions in their daily lives to become better agents of their own health.”

READ MORE:  Deep Tech Innovations in Diagnostics and Medical Technology Are Starting to Transform Healthcare

 

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Karl Handelsman

MS in Genetics from Harvard
MBA from MIT
Investment Director at Roche Venture Fund

“AI will enable whole genome clinical trials.”

 

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Robbie Singh

MS in Medical Neurobiology from Indiana University
MBA specializing in the Business of Life Sciences from Indiana University
Consultant

“Artificial intelligence has the potential to make a big impact on the healthcare and life sciences industry. Data generated may potentially be used in analyzing healthcare data to diagnose and treat diseases in a timely manner, if not earlier than standard diagnostics. Artificial intelligence could contribute to remote healthcare diagnostics or in areas where there is a physician shortage.

Artificial intelligence is also being used in drug development. Preliminary research indicates that for oncology research, where there may be trillions of data points in a single sample, artificial intelligence can cut the analysis time in half and potentially cut the drug development time and cost by 50% or more. Furthermore, artificial intelligence may be able to detect which patient will respond best to a specific treatment.

In past half decade, billions of dollars have been invested in artificial intelligence related businesses. The utility of artificial intelligence depends on the quality, reliability, and revelancy of data transferred from literature into computer systems to create useful algorithms.”

 


 

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