Robot CEOs are coming
Hey, everyone!
Do you ever feel like September is the start of a new year?
A time where you analyze results, think about what you could do better, and prioritize tasks for the months ahead?
At DLabs.AI, we do, and we’re just at that stage of crafting our strategy for the coming period. Our decisions now will be crucial for our next six months, so I’m going to share a few insights into how we go about the process.
I’ll then dive into a story that really caught my attention. You see, even as CEO of an AI company, I still think robots have their limits — but I’ve just read about a humanoid that’s taken the reigns at a gaming company, and it dawned on me…
Robots really can do anything (although I must say, I’d welcome a robo-replacement every now and then; in fact, especially now because as seems inevitable in September, I’ve also caught a cold, and a robo-Shemmy would really come in handy!).
The full story’s at the end, just be sure to enjoy the rest of the newsletter first ;-)
Great AI takes more than great engineers
We've spent quite a bit of time analyzing our recent projects, diving into what each collaboration has been like.
In last month’s newsletter, I spoke about the importance of avoiding technical language in client interactions and focusing on solving the problem. And something else we've noticed is that we often provide value that extends well beyond engineering skills.
You see, while we've helped plenty of companies use AI to get better at what they already do, we've seen more radical changes where we've helped clients discover an entirely new business model.
Because this has enabled them to monetize their brand via new products and services — which shows how alongside offering engineering skills, we also help clients:
As with anything — when you find a technology partner that can offer comprehensive support alongside technical skills, success is so much more likely, and nowhere is this more true than with artificial intelligence.
Because if you didn’t know, 85%?of AI and machine learning projects fail to deliver the expected results, with just 53% making it from prototype to production.?
So here’s how we’ll be tackling projects moving forward:
We’re excited to get going on the above with clients, new and old. If the above sounds interesting, feel free to drop me a private message.
I’d be delighted to share some more details.
Healthcare providers: struggling with staff shortages and tight budgets? Maybe it’s time to try AI.
While analyzing each project, we also looked at the ones that gave us the most satisfaction. We reminded ourselves of where we started, focusing all our energy on using AI to simplify the lives of people struggling with type 1 diabetes. And we remembered why we founded DLabs.AI in the first palace, which helped us figure out what we wanted to do next.?
We realized we wanted to create more solutions in the field of healthcare (since this industry is closest to our hearts). And we quickly got to work researching the industry, its challenges, and what people need. The market is already huge, with forecasts suggesting AI in healthcare will be worth $164.1 billion by 2029, a CAGR of 42.4% .
That said, there's still a tremendous amount of work to be done. Our research showed that ‘Between 1975 and 2010, the percentage of doctors working in the US went up 150%, while the number of healthcare admins went up 3,200% in that same time.’
This surfaces an unprecedented challenge for the sector. There’s now a huge volume of back-office tasks, with activities that have nothing to do with patient care consuming 51% of a nurse’s workload and nearly a fifth of a physician’s activities .?
How does this relate to AI? According to McKinsey , 40% of tasks performed by non-clinical staff and 33% of duties performed by clinical staff can be done by AI. AI-based technologies like voice-to-text transcription can improve administrative workflows and eliminate time-consuming activities, including writing notes, filling prescriptions, and ordering tests.
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Considering the current global shortage of doctors and nurses and an ongoing struggle with rising maintenance costs, AI solutions in healthcare are a massive opportunity for improvement in the sector.
If you’re looking to learn more about what you can do, don’t forget to put my upcoming webinar in your diary .
Self-supervised AI could be crucial in healthcare
Let's stick with healthcare. Some time ago, I promised you that in each Bit&Bytes, I’d include the latest developments in the field. A lot is going on, and I could devote an entire newsletter to it. But today, I'll just focus on one groundbreaking development.
This innovation could mitigate one of the major challenges of implementing AI: the time spent collecting the data needed to train an algorithm. Because the truth is — it's not the cost or a lack of confidence in AI that stops people from implementing the technology.?
The struggle lies in preparing adequate training data. There are ways around this, but today, I'll share an exciting solution developed by researchers at Harvard Medical School and Stanford University.?
Their tool detects disease in chest radiographs, using NLP-based clinical reports (instead of human annotations) to "learn." This is strange because, usually, AI training requires annotated images, which means significant human effort.
But the researchers managed to create a model known as CheXzero, which can detect disease based on clinical reports generated by NLP alone, meaning no need for annotations. Here’s how the model works:
“The model is self-supervised , meaning that it trains itself to learn one part of the input from another part. Self-supervised learning (SSL) algorithms are a type of machine learning (ML) technique designed to address the issue of over-dependence on labeled data. In many real-world scenarios, researchers struggle to collect and label the amount of high-quality data they need. SSLs provide a low-cost, scalable alternative.”
Curious about the results? Well, research showed that the model was highly accurate when compared to three other models, but it also performed similarly to three radiologists.
Why is this so important? Well, this study opens up new possibilities and will soon be used in other crucial medical tasks.
Source: Health IT Analytics
Robot CEOs are coming
There has been a slew of articles about which professions are at the most risk of automation. As a CEO, I'd never seen my role on the list. That was — until a recent development suggests I could also soon be replaced by robots.
NetDragon, a game developer from China, just appointed a new CEO: an AI-powered virtual humanoid called Ms. Tang Yu. She's the first robot to hold an executive position. And according to Dejian Liu (the chairman of NetDragon), she will help streamline the company's processes and increase operational efficiency.
And she’ll serve as a real-time data center and analytical tool to help with day-to-day tasks, which makes me think…
While it all sounds a little scary, maybe it's not such a crazy idea after all ;-)
Source: Arabian Business
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That's it for this month.?
I hope you found something you like.
But before you go — a quick question: I'm curious to know if you enjoyed the 'lessons learned' section? Or if you'd rather I stick to see more technical topics (or just the latest AI news, plain and simple)?
Share your thoughts in the comments!
Until next month :-)
Business Analyst ? Technology Consultant ? Researcher
2 年You don't replace yourself with a robot, but you don't take into account that some social forces may replace you with a robot.