Machine Learning (AI) Onsite w/ Eddi Weinwurm of Obvious Future - AZ TRT S06 EP01 (262) 1-5-2025

Machine Learning (AI) Onsite w/ Eddi Weinwurm of Obvious Future

 

- AZ TRT S06 EP01 (262) 1-5-2025              

 

What We Learned This Week

• Obvious Future is building Machine Learning (AI) programs to be used onsite for a business
• Corporate Data is too sensitive to be in the cloud / internet
• Business cannot use cloud AI programs like ChatGPT, Google Cloud, etc because of IP and privacy concerns
• Large Language Models are not necessary, have more data than needed, can have smaller AI programs tailored for business

 

 

Guest:  Eddi Weinwurm

AI is top of mind for most enterprises…but most don’t know the risks especially in the cloud.

 

https://obviousfuture.com/#

  

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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