The Blockchain Futurist Conference, held August 13-14 in Toronto, is Canada’s largest crypto, Web3 and blockchain conference. This year’s highlights included:
- 10,000+ attendees
- 250+ speakers
- 300+ sponsors and partners
- 130+ press and media
- 78 events for CanadaCryptoWeek
- 2 hackathons
Key to the event are panel discussions, which spotlight areas of interest and allow attendees to hear and meet with topic experts. These moderated discussions offer ideas and answers from business and technology leaders who are directly involved in rapidly developing subjects of vital interest.
In particular, this year’s conference offered interested attendees a special panel discussion centering around one of the hottest topics in technology – AI Innovations.
Moderated by Jonathan Keim, Director of Investor Communications for IBN, the discussion brought together technology specialists who are personally involved in lifting AI from hype to happening, and have well-founded views of AI’s real-world direction and potential.
Randall Baran-Chong – Former emerging tech VC partner and director in a global strategy consulting firm
Randall is the lead steward of NorthstarDAO, which evangelizes AI and Web3 to policymakers. He is also the CEO of BizBridge, which helps small businesses find new owners and navigate the merger process with AI agentic technology.
Sheereen Khan – Many years in compliance with 15 years predominantly focused on advocating and educating regulators
Sheereen is the founder and CEO of Regulativity, which is an AI-powered intelligence platform capable of writing compliance policies, notifying personnel as changes take place, and much more.
Jyro Blade – 15 years in video games; 10 years in Web3
Jyro is the product lead at PlayFi which is an AI-powered data network and blockchain tailored for live media content. They are doing incredible things to turn streaming content into actionable data.
The panel discussion centered around where AI is going and what aspects of it are most exciting.
Not surprisingly, AI is seen as taking the place of human effort in roles that are now performed slowly and often inaccurately. This, of course, has always been seen as the natural goal of computer processing; a technology that has developed slowly over the years to its current status as mankind’s ubiquitous assistant.
However, as the panelists pointed out, huge amounts of time are still required for data input and processing is still limited by the strength of traditional algorithms. In other words, there is still the need for technology to take the next step, which includes identifying and extracting necessary data flexibly and then knowing how to organize it for useful output – all with a minimum of human intervention.
AI, with advanced ways of sensing and processing, clearly has the potential for this. But there are challenges. As humans, we learn about the world automatically, simply by living and experiencing, but it takes us years of growing to do it. One of the current issues of developing and working with AI is the amount of time and effort still involved in the overall training process. Having a brain is one thing, but filling it with elaborately interconnected knowledge is another. Right now, there is still vast amounts of information out there, potentially useful, but which is still not being properly tapped and integrated into the world brain. Humans don’t have the time or connections to do it, and so that is seen as another future goal for AI.
Panelists acknowledged that there is still a lot of hype out there, and some people still criticize AI as not being worth the attention. It’s to be expected with any significant new technology. When personal computers first came out in the 70s and 80s, there were a lot of colorful ads, but the products were expensive and actually did very little. Years later, of course, along with the internet, they clearly revolutionized business and personal productivity. So, there is always hope behind hype. And panelists pointed to the increasing use of AI to make lives better as the final proof.
The ease of using AI, thanks to its flexible capabilities, was another key point discussed. One way to make AI more accessible to a broader audience is through user-friendly interfaces. For instance, voice-to-voice communication with adaptable AI systems requires less time for people to learn and use, making it easier to get value from the technology. As AI becomes more integrated into our lives, it will become increasingly seamless and less noticeable.
Such panel discussions, with individuals who are actually using and applying AI on a daily basis, help tremendously to drive the interest and ultimately the technology.
To learn more about Blockchain Futurist Conference’s upcoming Miami event, visit https://www.futuristconference.com/miami.
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