Think about this: You run a data-driven pushed fintech or healthcare firm; you’ve entry to a plethora of information, and will use new machine studying instruments to raised predict fraud or advance medical analysis. Besides, you possibly can’t: the worth and insights from the info are entangled in privileged buyer knowledge that make it troublesome to entry in your AI mannequin.
How will you drive innovation with AI in case you can’t use your entire knowledge?
It is a recurring hole in machine studying. Actually, IDC stories 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 Remodel™” software program, which helps corporations safely entry extra actual knowledge. Protopia AI goals to bridge the structural hole in knowledge and ML by guaranteeing uncooked delicate knowledge is rarely uncovered to AI in identifiable type, however the AI nonetheless will get all the things it wants. The patented know-how relies on discoveries made by Prof. Hadi Esmaeilzadeh, the Endowed Chair of Pc Structure at UC San Diego, who can be the co-founder and CTO of Protopia AI.
Not Simply One other Safety Firm: Enabling AI by Unlocking High quality Actual Knowledge
Whereas the answer protects delicate knowledge, the top purpose 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 educated AI mannequin – accessing the info you want is without doubt one of the greatest hurdles relating to delicate knowledge, and the info steward’s willingness to share that knowledge.
Different suppliers within the area both focus solely on the coaching section, which leaves the necessity for safeguarding delicate info in deployment knowledge unanswered, or require specialised {hardware} or new ML paradigms which makes them troublesome 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 answer 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 sort 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 Remodel™ created by this product add a brand new layer of safety in opposition to leakage of delicate info for and may 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 Knowledge 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. However, not utilizing the correct 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 information in several inaccessible silos that stop them from making knowledgeable selections on threats equivalent to fraud. Fraud is without doubt one of the greatest issues inflicting monetary companies, costing the sector practically $42 BN a yr, and the place AI might present large efficiencies. To this finish, international fintech, Q2 has been working with Protopia to unlock new knowledge for locating fraud.
Q2 Makes use of Protopia for Extra Knowledge, Extra Attain
With Protopia, Q2 accesses potential shoppers who have been beforehand unapproachable attributable to inside knowledge governance protocols proscribing SaaS options. As Q2 explores providing new options, they discover that using the most recent 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 additionally significantly will increase the accessibility of their options. The Q2 Sentinel staff is utilizing Protopia AI’s Stained Glass Remodel™ to develop the adoption of their newest cloud-based Fraud Detection Resolution to these shoppers which are underserved or unserved as we speak by:
- Detecting fraudulent checks with out the necessity to analyze plain test pictures and
- Work on the identical degree of accuracy as if it have been utilizing the plain test 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 crucial.” stated co-founder and CEO, Eiman Ebrahimi, PhD. Ebrahimi and Q2’s Chief Knowledge Scientist are presenting Q2’s answer 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:
- https://protopia.ai/
- https://protopia.ai/options/
- https://www.crunchbase.com/group/protopia-ai
- https://protopia.ai/weblog/what-is-the-one-and-only-way-to-secure-your-ai-data/
Observe: Due to Protopia AI for the thought management/ Instructional article above. Protopia AI has supported and sponsored this Content material. For extra info, merchandise, gross sales, and advertising, please contact Protopia AI staff at data@protopia.ai
Asif Razzaq is an AI Journalist and Cofounder of Marktechpost, LLC. He’s a visionary, entrepreneur and engineer who aspires to make use of the facility of Synthetic Intelligence for good.
Asif’s newest enterprise is the event of an Synthetic Intelligence Media Platform (Marktechpost) that may revolutionize how folks can discover related information associated to Synthetic Intelligence, Knowledge Science and Machine Studying.
Asif was featured by Onalytica in it’s ‘Who’s Who in AI? (Influential Voices & Manufacturers)’ as one of many ‘Influential Journalists in AI’ (https://onalytica.com/wp-content/uploads/2021/09/Whos-Who-In-AI.pdf). His interview was additionally featured by Onalytica (https://onalytica.com/weblog/posts/interview-with-asif-razzaq/).
