The Covid-19 pandemic put most of the world on pause for a year. Still, there is cause for optimism.
By Christmas 2020, multiple vaccine candidates were cleared for use or are at Phase 3 trials. Our ability to detect and treat the virus has improved significantly since the early days of the pandemic.
Artificial Intelligence (AI) has played a major role in combating the pandemic. While AI is not a silver bullet, researchers have used AI to extract better, faster insights from medical data. This has led to quicker vaccine development and the promise of better future treatments.
What’s next for AI and healthcare after the pandemic? We will quickly move towards better disease prediction, drug discovery, remote diagnosis, clinical data insights, and hospital management. …
“Look at that thing, dude!”
— US Navy pilot after spotting a UFO traveling unbelievably fast
In April 2020, the US Department of Defense declassified three UFO videos taken by Navy pilots in 2004 and 2015. What was interesting was how fast the UFOs were traveling. We clearly hear how shocked the navy pilots were in the video — and they know a thing or two about flying fast.
We still haven’t figured out what those flying objects were. Still, even hardened skeptics that watched the video would have asked themselves “what if…”
We are most likely not alone. More than half of the sun-like stars in the Milky Way likely contains a habitable planet. Doing the math suggests at least 17 billion stars with potentially habitable worlds. Now consider the rest of the universe. …
Let’s be honest. An investment manager’s clients probably won’t care about the fancy AI tools the investment manager is using. The client will care about exactly four things:
To this end, investment management firms can use artificial intelligence to manage risks, extract investment insights from alternative data, and automate analysis & client reporting.
We will first look at current and future AI applications in investment management. …
Most companies fail to scale up their AI pilot projects. Most AI initiatives have their budgets cut because they don’t deliver results quickly enough.
The problem is not technology or talent. The culprit is often a corporate culture and organizational structure designed for a pre-AI age. To deploy AI at scale, executives must build a culture where business and technical teams can collaborate seamlessly.
What follows is a 10-part framework to help executives prepare their company for AI implementation at scale. This is not a sequential list for companies to progress along. …
I’ve learned a few things from both hosting and attending webinars.
Presenting online isn’t as fun as presenting in-person. Talking at a screen is unnatural. There’s little human connection. Your audience can leave at any moment.
I’ve hosted webinars about artificial intelligence in business. Some find the topic interesting. Others don’t. I quickly learned that the audience will drift unless they are kept engaged.
I’ve watched business owners convincingly promote services and spur potential buyers to action. I’ve watched industry experts convey complex ideas in ways that common folk can relate to.
These great presenters employed 7 techniques, which I’ll describe here. …
At first glance, a post-pandemic economy might not seem the best time to invest in artificial intelligence. Most industries are hurting for revenue and cash flow. However, some firms will adopt AI to become more efficient and set the stage for growth after the economy recovers.
Firms that understand their business needs and AI use cases can make AI investments that achieve high ROI. AI is good at automating manual processes that require costly manpower. AI is also good at finding patterns in large datasets to generate insights. …
Mike Tyson famously said that “Everyone has a plan until they get punched in the mouth”. Every company had a strategic plan coming into 2020. Then, Covid-19 walked into the ring.
Insurance has been hit hard by Covid-19 and economic hardship. With many insurers focused on cash conservation, leading insurers can emerge from the crisis even stronger if they make smart investments in AI. Insurers’ massive customer datasets and their famously manual processes create some ‘quick win’ AI opportunities.
Insurers must proactively adopt AI because the business outlook isn’t great. Lloyd’s of London estimates that 2020 underwriting losses will hit $107 billion. (Re)insurance firms are looking at billions in claims for business interruption and trade credit insurance losses (insurance for when buyers can’t pay sellers). …
I started down the AI rabbit hole two years ago. Looking back, I never felt like I was studying — I was having fun. To me, AI was simply much cooler than most things at work or at school. It was real-life science fiction, and I felt like I was binge-watching good TV.
Artificial Intelligence should not be intimidating. You don’t need programming skills, textbooks, or research papers to grasp how AI is transforming the way we work, socialize and innovate. Becoming AI-literate is easy. More importantly, it is fun. Thankfully, it can also be free.
Some of the best AI knowledge I picked up came from videos. If you want to step into the wide world of AI without learning how to code, I will lay out a video road map that you can use. You can pick and choose what you watch. You don’t need prior knowledge of AI or computer science. You don’t even need your wallet. All you need is curiosity and the willingness to be entertained. …
Cognitive Robotic Process Automation adds artificial intelligence capabilities to traditional RPA tools. This enables RPA systems to learn and adapt to new situations and improve business processes. Businesses that adopt cognitive RPA can realize cost efficiencies at scale, become more responsive to customers, and ultimately redeploy employees to higher-value activities.
Despite the benefits offered by intelligent automation, a recent survey by IDG revealed that under 50% of US and European enterprises have deployed intelligent automation. That signals both untapped potential and underlying challenges to adoption, which we will explore throughout this post.
We will cover the difference between regular and cognitive RPA. We’ll then look at two leading cognitive RPA vendors, UiPath and Automation Anywhere. Finally, we will consider key takeaways for business leaders tasked with implementing cognitive RPA solutions. …
Artificial Intelligence solutions will soon run on top of blockchains, increasing machine learning capability and even creating new financial products.
Blockchain-AI convergence is inevitable because both deal with data and value. Blockchain enables secure storage and sharing of data or anything of value. AI can analyze and generate insights from data to generate value.
We will consider two (out of many) areas where blockchain and AI can be combined. First, we’ll explore how machine learning models can be collaboratively improved on blockchains. We will see this in the near future since Microsoft already working on this. Then, we will look at how AI agents can autonomously create and trade new financial instruments over blockchains. …