Cover Story: Three CEOs reveal how they apply AI to actual world issues

Marc Andreessen famously noticed, “Software is eating the world,” and in line with Jamila Gordon, CEO and founding father of Lumachain, so is Artificial Intelligence (AI).

AI and Machine Learning (ML) are nicely and really ingrained in each business. From healthcare, to agribusiness, to meals manufacturing, AI is enhancing efficiencies and  productiveness, whereas additionally producing widespread challenges.

To higher perceive the use-cases and impediments of AI throughout completely different verticals we hosted a panel with three AI CEO’s who, coincidentally had been all award winners on this years’ Women in AI Awards. They included;

  • Dr. Michelle Perugini, co-founder and CEO of Presagen, a well being care firm constructing scalable AI throughout girls’s well being merchandise
  • Fiona Turner, co-founder and CEO of Bitwise Agronomy, an agtech scaleup that’s utilizing AI to deliver insights to farmers
  •  Jamila Gordon, CEO and founding father of Lumachain, which makes use of AI to disrupt world protein and meals provide chains. 

AI Use-Cases

Dr. Michelle Perugini, Co-Founder and CEO of Presagen

Presagen’s first product, Life Whisperer makes use of cloud-based AI within the embryo choice course of throughout IVF. The AI is educated utilizing greater than 20 thousand 2D embryo photos to raised determine probably the most viable embryos. According to Perugini, AI in girls’s well being merchandise and within the fertility sector will not be solely bringing about efficiencies, however can also be advancing accessibility to healthcare services and products.

“AI in our space, in the fertility sector, is really advancing patient outcomes. Its improving efficiency and standardisation within the clinic environment, its bringing global technology into clinics that wouldn’t otherwise be able to access or afford it. And it’s bringing affordable and accessible health care to patients around the world,” Perugini says.

Both Bitwise Agronomy and Lumachain are deploying pc imaginative and prescient, digicam primarily based AI, which works to imitate human imaginative and prescient. In agribusiness, Turner says that AI within the sector is “really starting to take off across all sorts of horticultural livestock and all facets of agriculture.”

Bitwise Agronomy claims that its AI resolution delivers higher outcomes to farmers through the use of correct knowledge to enhance yield and scale back prices.

Farmers can use GoPro cameras to seize footage throughout their work and add this to the Bitwise Agronomy Platform. This then supplies insights and makes use of historic knowledge to make predictions round processes together with crop efficiency, harvesting dates, local weather impacts, water stress ranges, sprays and irrigation techniques. 

Lumachain’s use of pc imaginative and prescient primarily based AI is deployed to trace the protection and safety of the meals manufacturing provide chain.

According to Gordon, Lumachain “supplies an finish to finish set of modules for the worldwide meals provide chain, which reveals the place the meals has come from, the place it has

Jamila Gordon, CEO and Founder of Lumachain

traveled, what had been the situations,” in addition to making certain that the merchandise had been “safely, humanely and efficiently produced,” whereas additionally making certain the staff’ security.

Challenges and Impediments

When it involves the impediments of AI, the panellists throughout their assorted industries, had been in settlement that they’re going through the identical challenges. 

According to Perugini, “I believe there are some widespread challenges with respect to impediments to AI, primarily round knowledge entry and high quality and amount and kind of information. And I believe the world is form of shifting their considering round this. It was once that everybody was attempting to get the most important knowledge units. I don’t assume it’s like that anymore. 

“I think there’s a recognition that you need the right data sets. You need globally scalable data sets. Those data sets need to be representative broadly of the domain in which you’re using AI to solve a particular problem.”

When it involves AI in healthcare, Perugini highlights the significance of broad knowledge units throughout a number of medical environments with a variety of affected person demographics. Should these knowledge units not be vast sufficient, she says, then the AI will want retraining and rebuilding, resulting in greater end-user prices.

“So every little thing that we do as an organization is round fixing that scalability problem and getting the proper knowledge, which is globally numerous in order that we will ship these merchandise

Fiona Turner, Co-Founder and CEO of Bitwise Agronomy

at scale and low value,” she says. 

In agribusiness, Turner talks to the identical problem utilizing completely different language. She says, “It’s about how we curate our data sets.” This curation includes assorted areas and rising varieties which might be broad and deep sufficient to make sure that the AI is educated to a number of variables. 

Ethics and AI

One of the important thing challenges that’s going through AI globally is the rise of unethical AI. Rob Sibo, knowledge and analytics Senior Director on the expertise consulting agency Slalom Australia advised Which-50 that the cognitive biases within the human considering course of are replicated in AI.

“Humans create the machine learning algorithms at the moment and a lot of times we propagate the same biases when we design the algorithms or when we collect the data that trains the algorithms,” says Sibo.

“There’s a lot of biases that get replicated into the machine learning models, which is what concerns me as well, because the model might be perfectly fine, the data might be fine, but the way we frame the problem and the objective is completely skewed. So you just apply a perfectly good model to a skewed problem.” 

To mitigate the rise of unethical AI, The Australian Government’s Department of Industry, Science, Energy and Resources developed an AI Ethics Framework, which it claims helps to attain higher outcomes, scale back danger and encourage good governance. 

According to Perugini, who helped to develop the framework, it’s harking back to Australia’s strict regulatory framework for healthcare.

“I think it’s a very structured and strong way to manage risk around how many people are you going to impact with this AI, what is the outcomes of kind of getting it wrong and how do we therefore mitigate those risks or ensure that the right data has been utilised or that testing has been done to protect the consumers that we are serving,” she says.

The Future Of AI

“AI will be in every industry in some way,” says Gordon, and “AI will impact every aspect of our lives.”

AI is ready to develop into much more built-in into our lives than it already is, and in line with Turner, a lot in order that we gained’t even know it’s there. 

Looking to the longer term, Gordon sees human collaboration with AI to be the subsequent large step the place AI can play a supervising position, in addition to automating guide duties is ready to extend.

The integration between AI and robotics, in line with Turner, will probably be one of many biggest drivers of effectivity the place the AI can act because the “brain and the vision” to the robotic’s bodily counterpart. 

“I believe quantum computing goes to assist speed up the expansion so we will finally get to General AI, which is a good means off the place your AI can do a number of issues directly, 

“More these kind of futuristic AI robots that you hear of. I think we’ll get there, but we’re a fair way off from that.”


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