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Executive Interview: Paola Santana, CEO and Founder of Social Glass

Executive Interview: Paola Santana, CEO and Founder of Social Glass
Paola Sanatana, CEO and founding father of Social Glass
Firm Takes a Knowledge-Pushed Strategy to Governance; “We Can’t Change What We Can’t See” is the Social Glass Motto

Paola Santana is a lawyer, public procurement professional and tech entrepreneur creating the world’s subsequent political system after democracy. She’s the founder and CEO of Social Glass, a software program ecosystem utilizing Synthetic Intelligence to energy high-performing governments. The corporate was just lately named a prime 10 e-Governance Answer Supplier in govCIO Outlook. Beforehand, she co-founded a Silicon Valley startup that constructed a drone supply platform, and co-established the Dominican Republic’s Constitutional Courtroom. A Fulbright scholar and graduate from George Washington, Georgetown and Singularity College, she’s been featured as CNET Prime 20 Latin in Tech, Forbes Prime 50 Ladies of Energy in Central America. She just lately spoke for a couple of minutes with AI Tendencies Editor John P. Desmond about Social Glass, the way it employs AI and the way it matches into the political system.

AI Tendencies: Thanks for being with us as we speak. You’ve gotten described the Social Glass mission as to assist create the world’s subsequent political system after democracy. Might you elaborate on that? And the place did the thought of the corporate Social Glass come from?

Paola Santana: For some time, we’ve been making an attempt to attach the administration of governance and governance operations with what sort of political techniques we reside in. Particularly right here in the USA, we have now a consultant democracy and we proceed iterating on that. I might even say we’re placing Band-Aids on the system to enhance what we’ve got. And one of many key questions that we will pose ourselves is, ought to we proceed enhancing the system we’ve as we speak or ought to we take a few steps again, and redesign and rethink what system would work higher for the society that we have now in the present day? 

We have to make leapfrog progress in transportation, schooling, well being care, and different primary public providers for the general public good.

Social Glass gives the Micro product, an e-commerce market for rules-compliant, quick, and paperless authorities micro-purchases.

As we rethink the techniques, we’ve a chance to start out observing the info, to start out observing how governments function in the present day, and with that perception into their knowledge and every day operations, to determine if we’d like one thing totally different. And that one thing totally different, we don’t know what will probably be referred to as, and we don’t know what it appears like, we simply know that we can’t make these selections blindly as a result of now we now have the info. We have now the chance to design one thing from scratch that works higher for this society.

Making a software program ecosystem with Social Glass permits us to get perception into that knowledge. The chance of making Social Glass emerged two years in the past once we have been interested by find out how to join governments with know-how instruments that may permit us to make higher selections. We needed to leverage all these exponential applied sciences like synthetic intelligence and machine studying so we will see higher what governments are doing and enhance that decision-making and rework governments into high-performing entities. That was the unique concept. We’ve been engaged on that and defining what the DNA of that’s, and what a product that comes out of a software program ecosystem like Social Glass is. We’re testing proper now with our first product — MICRO — that may be a market for presidency purchases.

How is AI included in your product?

Within the hype of AI the place the whole lot has a bit little bit of AI or needs to be related to some type of rudimentary AI, it’s essential that we perceive what AI can do for governments. The very first thing is that creating common AI is just not essentially the objective right here, to start out. The primary objective is, for instance, utilizing what we name slender AI, systematizing quite simple every day duties after which with the ability to insert some sort of machine intelligence to know the place there’s room for enchancment.

For instance, your Gmail inbox, spam inbox, has some kind of AI embedded on it, so it is aware of that when you’re receiving an e mail from somebody that you simply’ve by no means been in contact with or one thing that appears like advertising materials you aren’t focused on, it will get put in that spam folder. It’s not 100% correct, nevertheless it’s just about there. 

That’s what we name slender synthetic intelligence, one thing that isn’t tremendous futuristic. It’s one thing we will grasp. These are the kind of little enhancements that we expect we will do in the present day. With the forms of marketplaces we’re creating now, we will advise a authorities company on one of the best time to purchase some new computer systems, for instance. 

Numerous knowledge analytics are employed. We look at historic knowledge, after which apply slender AI. On the finish of the day, the choice is the people to make. However we attempt to make recommendations that get monetary savings.

We’d like good knowledge from governments. We have to seize knowledge in a method that we will retrieve it, combination it after which begin seeing insights. Extra knowledge isn’t going to unravel the issue. First we have to acquire knowledge in a approach that each one the info from each company is significant and correct. As soon as we’ve got a considerable database of presidency knowledge on how they’re buying, how they make one choice over one other determination, then we will begin offering insights utilizing AI.

Would you describe the AI that you simply use as machine studying or one thing else primarily?

It’s slender synthetic intelligence. It’s lots of predictive analytics. I couldn’t inform you that that is machine studying as a result of the machine just isn’t studying essentially with new info. It’s principally reworking the knowledge it has, and utilizing all of the databases and different info that’s within the markets to offer some very particular info to authorities. Machine studying can be one thing deeper, in our view. And these phrases, as we go, proceed altering. 

For us, machine studying can be having a lot knowledge that the software program not solely is offering insights, however is flagging that a poor choice is being made based mostly, not solely on historic knowledge, however based mostly on all the opposite selections that different authorities businesses are at present making.

Machine studying is one step additional. We’re not there but. We’re simply firstly of creating these predictive analytics fashions, and these very early algorithms of tips on how to present worthwhile insights to authorities with the knowledge that we have now at the moment on their transactions.

How would you describe what stage the corporate is at in its life cycle immediately?

We’re in a pre-seed mode, how we are saying in Silicon Valley, or in a pilot stage. We’ve got developed our first product that’s MICRO, this authorities market. We’re working with some authorities businesses right here in California, on the native and state degree, to check this in a personal beta mode. We need to validate that MICRO is beneficial for them to do transactions beneath $10,000, what we name MICRO purchases, in a safe means the place all of the suppliers are curated and are verified to allow them to truly promote to authorities. And the place they will see, on this one-stop store, all their critiques and all of the transactions they’ve finished. And the place they will handle a few of their price range. So we’re on this pilot mode, the place we’re validating every part we’ve been observing, and we’re discussing it with the federal government businesses. We need to see how they’re utilizing the product so we will enhance it after which do a public launch of the product by the top of the summer time. That’s the aim.

We’re seeing very massive modifications on the procurement market. The present administration has elevated the micro-purchase threshold from $three,500 to $10,000. The federal authorities has mandated that items underneath the micro-purchase threshold be bought by way of e-commerce marketplaces by 2020. The GSA is working very arduous to implement this mandate.

So we’re working to design a product for the federal government consumer that has a selected want, with out them having to do the work of aggregating all the acquisition knowledge. 

The US has virtually 90,000 totally different authorities models doing over 160 million transactions a yr. Many of those transactions are micro-purchases. If we will optimize these transactions, we will help purchasers maximize their finances. We have to ensure that we’re offering them worth on the small scale first. We’re doing the pilot to ensure that we will declare that we helped on 100 transactions, so we will help on 160 million transactions.

Is it sensible to take a data-driven strategy in a political context?

Not solely is it real looking nevertheless it’s the subsequent step for making higher selections on behalf of everybody. There have all the time been very shut ties between politics and governance; we agree that politics defines if we’re going to have extra finances for well being care or much less finances for healthcare. However public healthcare is on the agenda. So how can we’ve got public healthcare functioning in a high-performing method? We’re all the time evaluating the best way authorities operates with the best way a personal enterprise operates. The query is, how can we insert some sense of urgency into how we offer public providers? That’s primary. 

Quantity two, how can we enhance these public providers, not by way of notion, not by means of what we learn on the press, not by way of what one politician stated or Congress stated, however via knowledge. And the extra knowledge factors we’ve got on how issues are being managed, the higher. The extra perception we’ve into the info of what’s truly occurring, the higher output we’ll get. The Social Glass motto is, “You’ll be able to’t change what you possibly can’t see.”

Are you able to inform us concerning the pilot tasks, how they’re being utilized in the actual world as a lot as you possibly can, in the event you’re not capable of say particularly what businesses you’re working with?

We’re working with two native businesses in California in a low-risk surroundings, which means that we aren’t altering any course of that they presently have. We aren’t asking them to cease utilizing any piece of software program that they have already got. What we’re doing is connecting most of the present practices that they’ve and far of the totally different software program that they’ve, and placing the whole lot underneath one umbrella and testing that with some very particular customers inside their company. We need to see if that simplifies their decision-making and even eliminates some steps that aren’t wanted.

The primary drawback with micro-purchases is the purchases are doing in many various methods, even in several departments inside the identical company. We see room for enchancment.

I’m not going to call the businesses, however in some businesses right here, they buy IT items like software program and subscriptions via one division, items by way of one other division and providers via one other division. 

We’re considering we will put all of that underneath one umbrella, and assure that each provider in our market is offering authorities with their greatest obtainable worth. And they won’t discover that worth anyplace else; they’ll discover one of the best worth underneath MICRO. After which be sure that as soon as these providers are offered, these authorities purchasers can see all their transactions in a single place. They will see their analytics they usually can even present insights to their monetary division. 

We need to present on the finish of the pilot that we now have offered these authorities businesses with one thing of worth, that they will then present to different cities and authorities businesses. Then we will begin creating that ecosystem the place governments are actually saving money and time as a result of we’re scaling the answer in California, then in different states.

That’s as a lot as I can say concerning the pilot program. Any authorities company can apply to our pilot program by, you understand, by telling us what their particular want is. As a result of we’re a startup, we might analyze if we’ve got bandwidth to actually help them. However we don’t want so much, we solely want entry to one of many individuals answerable for doing purchases after which we take it from there. We analyze the entire course of. We analyze the chance for enchancment. And we begin offering them with insights into how they’re doing their processes after which offering an perception report by the top of the month. In order that’s what the pilot program is about proper now.

Do you’ve a timeframe but for constructing a scalable enterprise product?

By the top of this summer time, we may have the general public launch of MICRO that’s now being examined underneath a pilot program. After which, by the top of the yr, we anticipate to have at the very least 10,000 transactions within the system from California. That feels like a small quantity in comparison with all that authorities purchases, however it’ll permit us to see alternatives. We’re planning to start out increasing outdoors of California in Q1 of 2020. 

Study extra at Social Glass.

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