I am looking for professors or consultants (please no experts that work at AI companies) to talk about AI native apps and operating systems.

Question

Shantanu Pandey · Accepted Answer

Hi team, I am available to discuss about AI native apps and operating systems based on my experience of running a global design and tech agency.

Cyrus Mahler · Answer

Decision Making Partners

AI native apps have intelligence built into their core.

Instead of relying on AI features, AI native apps operate with contextual intelligence and predictive analytics. This improves decision making.

This is a game changer for e-commerce. Why?  It reduces manual work, provides a snappy experience for personalizing, and adapts to customer behavior in real-time.  The benefit is seamless operations without juggling plug-ins or extra tools.

My advice? Treat AI-native apps as partners that extend your decision-making. So they can give you real-time insights and automate routine tasks.

Done right, they give small businesses enterprise-level efficiency at a fraction of the cost.

Alex Alexakis · Answer

AI-native applications and operating systems mark a transition from AI as a component or feature to AI being the fundamental architecture of a software ecosystem. Unlike traditional systems, our operating systems are not only integrated with AI modules or external AI platforms to run on hardware, but also designed to process, learn, and adapt simultaneously. In such systems, even the operating system is capable of anticipating user needs, dynamically optimizing resources, and enabling applications that can evolve without releasing explicit updates to update the software.

The first generation of applications to be developed in AI-native applications and operating systems will bring together data across applications and hardware to leverage contextual intelligence. The advantage of contextual intelligence is to lessen or eliminate friction in the user experience while allowing for personalization. However, in doing so, there is a fine line between innovation and conveying visibility and control to users so they understand how decisions are being made in particular scenarios and how privacy might be effectively managed.

I believe the first generation of AI-native operating systems will emerge from niche or specialized markets such as creative industries, accessibility technology, or research environments before being absorbed into agendas towards mainstream adoption. This is an unbelievable opportunity whichever direction this journey takes us, but it will depend on re-establishing trust in the market, alignment with regulators, and whether AI-native OS and systems can demonstrate verifiable productivity gains for businesses and organizations.

Gianluca Ferruggia · Answer

When I talk about AI native applications and operating systems, I mean more than simply a technology transformation. It is in the mindset of people and how they are able to interact with this technology. Traditional systems are designed around human input and fixed commands. AI-native systems, on the other hand, are designed around continuous learning. This means the very interface of the system will change based on user behavior.
 
One principle to be clear on is that AI-native applications remove friction. Instead of the user coming into the system searching menu options, the system understands the user's needs in the moment, and serves the right answers at the right time. This is not the same as layering AI features on top of an existing system. This is a design from the ground up, where AI is the starting place, and the base level.
 
The operating system level will allow for more adaptability. If the operating system layer is AI-native, then the applications within the operating system will all share learning. This could mean less time switching amongst correct expectations, and correct tools.
 
People will accept these systems once they trust them. Individuals need to understand what the system is recommending. This is where design and communications need to come into play.
 
I believe that AI-native systems are going to define the next phase of digital transformation. They will turn technology from something we command and control, into a technology that collaborates with us.

Oliver Morrisey · Answer

I am a lawyer and a law school professor. To me, AI-based tools are applicable to assist law firms to work more effectively by accelerating and increasing the accuracy of document review, legal research, and even communicating with clients.

One such example is ROSS Intelligence a legal research program, utilising AI to read large volumes of legal text, and based upon natural language processing. As far as I could observe, it saves time and assists lawyers with better case precedents and insights that can directly influence the choice of the case and the final result.

In my opinion, this AI tool can become particularly handy in the sphere of estate planning as the specifics and legal peculiarities are required. Similarly, I think that AI facilitate such processes and allow lawyers spend more time on the specifics of their clients cases, which will eventually result in the greater success of their clients.

I am looking for professors or consultants (please no experts that work at AI companies) to talk about AI native apps and operating systems.

3 Answers

Shantanu Pandey

Oliver Morrisey

Alex Alexakis

Related Questions

I am looking for professors or consultants (please no experts that work at AI companies) to talk about AI native apps and operating systems.

3 Answers

Shantanu Pandey

Oliver Morrisey

Alex Alexakis