Think about this: You run a data-driven pushed fintech or healthcare firm; you will have entry to a plethora of knowledge, and will use new machine studying instruments to higher predict fraud or advance scientific analysis. Besides, you’ll be able to’t: the worth and insights from the info are entangled in privileged buyer knowledge that make it tough to entry on your AI mannequin.
How are you going to drive innovation with AI if you happen to can’t use your whole knowledge?
This can be a recurring hole in machine studying. In actual fact, IDC reviews that 43% of enterprise knowledge can go unused, which takes away from the advantages of utilizing ML/AI.
Protopia, a Texas-based AI firm, has developed the “Stained Glass Rework™” software program, which helps corporations safely entry extra actual knowledge. Protopia AI goals to bridge the structural hole in knowledge and ML by making certain uncooked delicate knowledge isn’t uncovered to AI in identifiable kind, however the AI nonetheless will get all the things it wants. The patented know-how is predicated on discoveries made by Prof. Hadi Esmaeilzadeh, the Endowed Chair of Laptop Structure at UC San Diego, who can also be the co-founder and CTO of Protopia AI.
Not Simply One other Safety Firm: Enabling AI by Unlocking High quality Actual Information
Whereas the answer protects delicate knowledge, the top objective is to allow enterprises to leverage their knowledge to the fullest to energy AI. Protopia AI’s know-how permits corporations to extra simply collect perception about knowledge that was beforehand inaccessible. When coaching an AI mannequin or simply as importantly when utilizing an already skilled AI mannequin – accessing the info you want is among the greatest hurdles with regards to delicate knowledge, and the info steward’s willingness to share that knowledge.
Different suppliers within the house both focus solely on the coaching section, which leaves the necessity for shielding delicate data in deployment knowledge unanswered, or require specialised {hardware} or new ML paradigms which makes them tough to make use of. This makes it dangerous for groups to confidently use SaaS options for machine studying or share knowledge with know-how companions and even different departments in the identical group.
Protopia AI’s resolution learns what AI fashions want, removes what it doesn’t, and obfuscates what it does must the utmost quantity – with minimal accuracy loss. This helps separate the worth of the info for AI and the info possession/management.
How Does Protopia AI Work?
Protopia AI’s Stained-Glass product transforms the info illustration because it comes out of the info supply/root of belief. The goal machine studying algorithms don’t see the unique identifiable knowledge and as a substitute see a focused randomized model of it that’s solely comprehensible to that particular and particular person machine studying job. Their website additionally has a nifty demo anybody can check out.
Protopia AI works for any knowledge kind and any AI mannequin with little overhead within the knowledge pipeline on the edge, on-premises or in cloud-data platforms. The Stained Glass Manufacturing facility™ software program is an extension of a deep studying (DL) framework like PyTorch. Stained Glass Rework™ created by this product add a brand new layer of safety in opposition to leakage of delicate data for and could be utilized all through the ML lifecycle: inference and coaching.
Protopia was constructed for chief knowledge scientists, chief know-how officers, chief knowledge officers, and their groups who think about bettering the group’s backside line utilizing ML/AI fashions. Protopia’s empowers its customers to work with the CISO or CSOs of their organizations in additional securing the management of their knowledge in more and more advanced environments
The Value of Not Utilizing the Proper Information in Machine Studying
AI has important potential to allow organizations to unlock billions of {dollars} of worth throughout a number of industries together with finance, healthcare, enterprise know-how and authorities. The worth of utilizing machine studying and AI is excessive. Then again, not utilizing the suitable knowledge and analytical instruments impacts a variety of industries by way of monetary loss and repair disruptions that can not be ignored. For instance, banks cope with large quantities of knowledge in several inaccessible silos that stop them from making knowledgeable selections on threats reminiscent of fraud. Fraud is among the greatest issues inflicting monetary companies, costing the sector almost $42 BN a yr, and the place AI may present large efficiencies. To this finish, world fintech, Q2 has been working with Protopia to unlock new knowledge for locating fraud.
Q2 Makes use of Protopia for Extra Information, Extra Attain
With Protopia, Q2 accesses potential purchasers who have been beforehand unapproachable attributable to inner knowledge governance protocols limiting SaaS options. As Q2 explores providing new options, they discover that using the newest privacy-enhancing applied sciences as a centerpiece of their digital banking options permits them to not solely meet their voice-of-customer-based wants but in addition significantly will increase the accessibility of their options. The Q2 Sentinel workforce is utilizing Protopia AI’s Stained Glass Rework™ to develop the adoption of their newest cloud-based Fraud Detection Answer to these purchasers which are underserved or unserved at present by:
Detecting fraudulent checks with out the necessity to analyze plain verify pictures and
Work on the identical degree of accuracy as if it have been utilizing the plain verify pictures.
“Protopia AI empowers enterprises to extract maximal worth utilizing AI and machine studying from their knowledge by offering the governance and safety that’s vital.” mentioned co-founder and CEO, Eiman Ebrahimi, PhD. Ebrahimi and Q2’s Chief Information Scientist are presenting Q2’s resolution with knowledge and AI leaders on the upcoming annual AI Summit in New York. Particulars of occasion are right here.
Win All-Entry Cross to AI Summit, NY + Unique Presentation: How Q2 Accesses New Customers for Fraud Detection with Breakthrough AI. Enter right here.
References:
options/
weblog/what-is-the-one-and-only-way-to-secure-your-ai-data/
Notice: Because of Protopia AI for the thought management/ Instructional article above. Protopia AI has supported and sponsored this Content material.
For extra data, merchandise, gross sales, and advertising, please contact Protopia AI workforce at data@protopia.ai
Asif Razzaq is the CEO of Marktechpost, LLC. As a visionary entrepreneur and engineer, Asif is dedicated to harnessing the potential of Synthetic Intelligence for social good. His most up-to-date endeavor is the launch of an Synthetic Intelligence Media Platform, Marktechpost, which stands out for its in-depth protection of machine studying and deep studying information that’s each technically sound and simply comprehensible by a large viewers. The platform boasts of over one million month-to-month views, illustrating its reputation amongst audiences.
