Jan 24, 2025
Machine Learning (AI) Onsite w/ Eddi Weinwurm of Obvious Future
- AZ TRT S06 EP01 (262) 1-5-2025
What We Learned This Week
Guest: Eddi Weinwurm
AI is top of mind for most enterprises…but most don’t know the risks especially in the cloud.
Eddi Weinwurm is a co-founder and CEO of Obvious Future an AI company with a new approach to keeping AI local and secure.
Eddi Weinwurm has many years of experience in both the development of media management software and AI. As a visionary he formed the company to address critical enterprises in the growing AI market.
ObviousFuture Resident AI: Faster, Safer, and Transforming Enterprise AI
Eddi Weinwurm co-founder and CEO of ObviousFuture is on a mission to make AI safer and faster for enterprises.
ObviousFuture, a trailblazer in secure and private AI solutions, will be unveiling a disruptive AI solution for the enterprise on December 18—Resident AI.
This solution empowers enterprises to harness the full potential of AI while safeguarding their data locally, marking a critical evolution in the AI landscape.
ObviousFuture's Resident AI operates entirely on-premise, solving a $500 billion market problem by addressing vulnerabilities like data privacy risks, compliance challenges, and vendor lock-ins. The company is focused on key sectors such as government, defense, surveillance, medical, and media.
Early adopters, have achieved ROI within just two months of deployment of the Resident AI platform.
Key benefits for Enterprises
Local- Resident AI is an artificial system that resides directly on the enterprises infrastructure reducing risk and latency often associated with edge computing. ObviousFuture’s approach is fully private and operates with very low latency.
Offline Access- Resident AI allows for complete work productivity without a single point of failure and no third-party API reliance.
Not Edge AI-Resident AI delivers full AI capabilities similar to big cloud models and doesn’t require a data center.
Reduces Cost- Substantial lower deployment and operational costs means a higher ROI for businesses.
Learn more about the company at ObviousFuture and sign up for a demo today.
Seg 1
Obvious Future AI CEO, Eddi Weinwurm
Resident AI for companies, storage of sensitive data, not for use with 3rd parties
Predictive editing from media, has Search and use features
No open AI, search documents internally – onsite at your company
Use local servers and data center on site, nothing goes to the Internet or cloud
For business to use AI with sensitive data, it cannot be in the cloud, it must be on site
Business needs verticals with AI integration
Examples of companies with sensitive data that cannot be on the Internet, are media, banking, healthcare, companies doing research and development RND
Also dealing in Research, or math, like at universities
Eddie does not want to call this AI, prefers the term machine learning, using a lot of that now and it will grow
Standard cloud AI used in conjunction online with companies like Google or Microsoft,
You can connect to an API, example is chat GPT
The AI work is done in the cloud and over the Internet
This involves data centers and huge computer networks
Parameters of lots of neurons or brain power in computing
Obvious Future is a technology company, looking to engineer a smaller API with the same machine learning intelligence
History of technology, initially things are large and cost a lot of money
Over time, it should be smaller and cheaper and faster
How do you perform the same tasks and have great efficiency?
Lots of uses for artificial intelligence, just one example is checking email for spam
Currently, most AI is a large language model, tons of info or put into the machine learning. But a lot of it is not needed, lots of waste
Compounds and routing models can be the future
Seg 2
Chat GPT, is a supermodel, knows everything, but has wasted data
To Eddie, this does not make sense
For most AI tasks, you need a specialist, a form of expert knowledge
Need to be routed to the right model, compound the route and info
Network of smaller models – then Which expert model to ask a question
This will reduce resources and energy use, plus better use, and faster
Alan Tuning said, difficult work requires lots of engineering
Obvious Future has created a machine learning product called Cara One, used for media production and film
Runs on the premises of a business, local, not in the cloud
Not connected to the Internet, in-house, so you can protect your Intellectual Property (IP)
Air gapped setup with hardware, provide AI resources in house
Problem, how to keep data in house
Run in a server room on the premises
Cap X model for a business where they can own their own AI
Current AI Cloud set up as a subscription model, this a company would own
Seg 3
Set up a server or multiple servers in a closet in a business office on site, but not a super computer
AI hardware equals expensive cost
Math plus technology and you can shrink the tech
Companies cannot even use lots of AI services or ChatGPT right now, because it is open cloud, too much business risk, can’t have your IP or information in the cloud
Cloud options for business are limited, and typically a no go, plus regulations with data protection
Obvious Future has their Resident AI product, called Cara One
Even if the Internet is down, you can still use their resident AI product, and it cost less
Huge paradox in technology right now, we have the best AI products and software and yet many companies cannot use it
Resident AI resides on premises. This opens up the business environment for different verticals and markets that need resident AI
Engine for AI, small sized so companies can use
Rate of return will continue to go up as companies invest in this
Hardware, software, chips are all improving and incorporating AI. Like all things in technology. There is constant improvement, and enhancing AI.
Obvious Future dealing in financing rounds for a business opportunity
Verticals of financing include industries like: banks, medical, legal, research data, customer data
All can be potential customers
Obvious Future working on developing the next level of Cara One, Resident AI for all of these potential businesses
US Patent Office would be another example, they can only partially use cloud AI, need resident AI to sift through all the data
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