Brain Weaver: Revolutionizing Machine Learning and Data Processing by Unifying AI


by Analytics Insight


December 21, 2021

Torch.ai is a platform that is changing the paradigm of digital data and workflows by solving the main obstacles caused by the ever increasing volume and complexity of information. Torch.ai’s solutions have helped fight fraud, make better, trusted decisions, secure information, evolve operational capabilities, and create better customer experiences.

The company specializes in artificial intelligence, risk avoidance, machine learning, risk mitigation, transaction processing systems, IT consulting, fraud prevention, data hub of enterprise, OSINT, human capital intelligence, blockchain, autonomous systems and geometric analysis.

A dynamic leader

Brian Weaver is the founder and CEO of Torch.ai. He has spent his entire career in data intensive and analytics environments. Brian started a business over 20 years ago where he developed something that was considered revolutionary at the time. He was well known to be the consumer behavioral model for sporting events, primarily NASCAR races.

Brian later developed one of the most important skills in healthcare data and information companies with a focus on FDA regulated medical devices. This is where the idea for a new way of processing and preparing data with AI and machines was born. today, with the same spirit, Torch.AI has grown into one of the most important companies in the fields of machine learning and data processing by breaking down very complex data into one that is extremely easy to use and to implement. Brian says he was able to create Torch.ai with the help of an amazing team that creates transformational technology.

Break the odds by lightening the burden of data engineering

As they started deploying solutions for customers like GE and Microsoft, Brian quickly realized that they were suffering from inbound and outbound garbage. He reveals that not only have customers struggled to extract value from their data, it would be a terrible task for his team as well. Brian says the moment of clarity amid all this pain and terrible ordeal was what put Torch.AI on the right track.

Soon he realized that no one was paying attention to the more difficult parts of data engineering. Brian generally saw the same results because everyone was doing the same thing. That’s when he came up with a whole new way of handling any information, from any source, of any type, while it was in motion. Thus, he pivoted the entire company to focus on this critical challenge of making history.

The willingness to take risks is the path to innovation

Fortunately, Brian has had a successful career and has founded, acquired and sold several businesses. But he admits there were some heartbreaking moments in his journey as well. “When you’re trying to solve a big problem, something big, super complex and perilous, you’re probably not making very well-calculated decisions. To be honest and to the point, if I had known how difficult it was going to be from the start, I might not have done it, ”says Brian.

Brian believes that building something that has the potential to revolutionize an industry takes really smart people and a lot of money. It pursues innovation and profitability as the two chances. So to really innovate, he says, you have to be willing to take risks.

“It is almost absurd to think that we have created one of the most advanced machine learning companies in the world in Kansas. But it’s our secret weapon. There is incredible talent in this city and across the region, ”says Brian.

Brian is proud because there is no actual venture capital here. He says even the coastal capital has only recently discovered opportunities in areas like his business. Due to the lack of capital, he invested his own money and had to build a profitable business much faster than usual. Customers must like what Torch.ai delivered and therefore were willing to pay. So on the other end of that journey, it highlights a fast growing business with amazing people that is both profitable and provides user friendly products.

Focus on bridging the AI ​​divide

Brian notices that there is a huge divide in the AI ​​industry, the ability to simply explain what the technology is doing for a customer is lacking. He sees the lack of solutions capable of attributing, tracking and auditing decisions called “auditable AI”.

“Leaders need to be very focused on bias, traceability and auditability at the data object level. Even if customers don’t realize it now, they will soon and those who haven’t yet embraced this philosophy will see their customer base erode quickly, ”adds Brian.

When he talks about the cloud, he emphasizes that it is not just a technology, but a business model. Brian says the best leaders look far down the path to changing this paradigm.

Make disruptive efforts to understand the target audience

Brian suggests introspecting the actual benefits of customers for particular innovations in order to better understand the target audience. One of its programs processes millions of documents every year on a huge IT infrastructure.

A future with “AI for all”

Brian mentions that he looks forward to a future where AI is more widely adopted. The CEO believes in the slogan “AI for everyone”. As Torch.ai removes the barriers to deploying machine learning at scale, it sees the industry continue to grow at a breakneck pace.

Brian surmises that with the increasingly complex nature of networks, both physical and virtual, there is an ever-increasing deluge of information being created. He predicts that storage capacity and calculated performance will continue to decline in the near future. This will further trigger certain patterns of decisions in any business.

A word of advice: look beyond your goal

“Read a lot, but not just about machine learning. Be a renaissance man or woman. Seek to understand the larger changes in work, the economy and globalization. In the end, it’s not the weapon that matters as much as the skill of the person wielding it. Brian says, as an inspirational note for emerging leaders.


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