Second in our “AssetTech” Series

By Romi Mahajan President Pepper
and Pulak Sinha, CEO Pepper

The Financial Services sector is every-changing and frenetic. As conditions change, markets change, as consumer behavior changes, markets change, and as new paths for ROI are created, markets change. That’s the name of the game in FinServ.

Couple this rapidity of change with the sheer size of the market and the results are epochal. One sliver of the market- the world of professional Asset Management- breaks the tape at $120 trillion AUM world-wide, a staggering number that exceeds global GDP. With a $120 trillion river running its course, even tributaries can be huge and powerful.

Enter the world of “private credit,” a fast-growing marketplace that now exceeds $1.5 trillion in investment with annualized deal-size in excess of $35 billion. As companies and other entities seek new sources of funding and as investors seek new forms of ROI generation and liquidity, the private credit market has burgeoned. New funds are minted daily.

For all investment types and asset classes, data is central to the story, but even more so with regard to non-public assets. Here, data and its connection to proprietary methodologies, valuation methods, and calculation is paramount. Further, ensuring that all parts of the organization are using the same data and the same methods to evaluate, value, invest, track, and report on deals is key to success. The lack of the proper platforms and controls is a sure-fire way to create internal friction and to slip-up in the marketplace. In private credit, data is the watchword.

As we mentioned before, private credit is a huge asset class, but very few companies build technology platforms and solutions specifically for this –and adjacent- industries. This is a huge miss in the technology industry as a whole. The private credit industry deserves better.

The data opportunity in this space is enormous. Even industry-watchers would have been challenged to notice the space even two years ago. Now it has emerged as a colossus. That’s why “AssetTech” – technology platforms that are innately and natively responsive to the needs of Asset Management- matters; the size and importance of the marketplace is unmatched.

The private credit data opportunity is real. We are eager to discuss it with you.

Part One in a Three-Part Series on “AssetTech”

by Romi Mahajan- President, Pepper

Business coins portmanteau words liberally.  As an example, combine “Finance” and “Technology” and you get “FinTech.”  Similarly if you combine “Assets” with “Technology,” you get “AssetTech.”  While the first is part of the everyday vocabulary in the industry, the latter is hardly understood.

This is curious, given the sheer size and importance of the industry.

World-wide, formal Asset Managers have over $120 trillion in” Assets under Management (AUM).”  This number is staggering- it exceeds World GDP.  The larger firms in the space themselves manage amounts measured in the trillions.  It is not uncommon for the tallies of “deals” –even just in the US economy-exceeding $250 billion in a month.  Again, these numbers suggest the importance of the industry as a whole.

Importance implies both opportunity and complexity.  With the rise in numbers and valences of asset classes and the intermingling of private and public assets- and that too across geographies- the opportunities to generate ROI where it was “invisible” before have increased substantially.  With this increase, the attendant increase in compliance, data, security, and governance needs come part-n-parcel.  In addition, investors are calling for transparency, where opacity ruled the day before.

Practitioners understand that the best tool-set to manage the forests of data and to derive insights and actions is Artificial Intelligence.  AI cuts across data, knowledge, decision-making, and pattern recognition.  AI is by its very nature dynamic, just like the markets being harnessed and understood.

Investors and Asset Managers have yet another convergence of interests with regard to AI. Both are looking for a step-up in a competitive game and both are looking for potential ROI being converted into kinetic.

For this reason, AI has to be native in AssetTech.  An AI-powered chassis is necessary for meaningful AssetTech platforms.

Here, distinguishing between rhetorical AI and real AI is key.  Kicking the tires is essential.  Furthermore, AI has to be at play at any entry point into the platform, from whatever workload you begin with.

Because of this, Marketing Darwinism and Pepper are together opening an industry dialogue and issuing an industry challenge.

Doesn’t Asset Management deserve its own technology and doesn’t that technology have to be the best we can offer?  Isn’t it time we go get it?

Marketing Darwinism: Clement, tell us about Quantarium.

Clement: The company is inspired by insights from Quantum Physics and the potential inherent in applying them to Machine Learning approaches within an A.I. framework. We have organically gathered the analytical methods of fields as far reaching as Quantitative Genetics to build a leading Artificial Intelligence company that enables competitive advantage in vertical industries via advanced predictive and propensity models along with smart decision-engines. To be sure, there remains a lot for Quantarium to accomplish and indeed we have the ambition to match, though we are quite proud of our synthesis to date and the benefits our customers are enjoying each day.

Marketing Darwinism: Can you tell us which verticals you focus on mostly?

Clement: The beauty and peril of A.I. is that it can seemingly apply to everything and that can be intoxicating, thus both market and organizational focus to execute become paramount. Our first salvo is residential Real Estate, a $20 Trillion asset class that represents in a meaningful personal perspective, the most important of all sectors because it constitutes the largest purchase a family ever makes. Quantarium looks at Real Estate from a perspective not only of Data (and there is a lot of Data!) but also of modeling scenarios of what “could” be. For both financial institutions that “own” and service mortgages and for the individuals who own homes, understanding the “deep” economics is very important. From valuations to other analytical models, Quantarium intends to revolutionize the approach and economics.

Marketing Darwinism: Clement, you have a background in large companies like Microsoft, how is it being a CEO of a start-up.

Clement: Thanks for the question. There is nothing headier than building something with world-class people who humble me every day with their vigor and intelligence. At Microsoft, I learned how to manage A+ teams and to think about products and customers at scale. Applying that to the need for speed in the startup world is my biggest challenge and joy.

Marketing Darwinism: Clement, I must ask you this. A.I. has become a “buzz phrase” …how do you distinguish yourself.

Clement: You are certainly correct about that. The technology business is very much about fashion and phraseology. Unfortunately, it is also often about false claims as well. Quantarium’s founders team, with Ph.D’s and accomplished experts in the field, undertook the approach that A.I. is best when it enhances the ability for people to both arrive at a valuable truth in a quicker and more judicious fashion, and then start to predict future truths, or certainties, given the current business exigencies. Quantarium established itself as an A.I. company from the get-go, it’s in our DNA; as a matter of fact, the first platform Quantarium built, QVM/Quantarium Valuation Model relied on M.L./A.I. technologies such as evolutionary programming when “Artificial Intelligence” was not such a buzz phrase yet. Our team consists not only of award winning Mathematicians and Engineers but also of some of the best “technology translators” in the industry. Algorithms and A.I. are indeed assets, however when you add them to the human agency and agility, you get real applications of real A.I.

Marketing Darwinism: What’s in store for Quantarium in the next phase of your growth?

Clement: Good question. While structured as a tridimensional growth approach, with a clear focus on increasing market share, innovation / differentiated I.P. and product expansion, in many ways we’ve been silent for too long. We enjoy genuine, solid relationships with our customers and partners but haven’t “splashed” in the market yet. That has been by design but the time has now come to shout from the rooftops. We’re showing up at conferences like the O’Reilly AI Summit and Strata. While we remain humble and true to ourselves, we are bold at the same time so watch out for us.

About Clement
Clement is Co-Founder and CEO of Quantarium, an Artificial Intelligence company enabling vertical industries via advanced Predictive and Analytic models, and smart decision-ing engines. As the name of the company suggests, inspired by Quantum Physics and fueled by the power and potential of Machine Learning such as synthesizing and leveraging approaches from Quantitative Genetics, towards resolving significant predictive challenges, Clement is an accomplished international professional for leveraging Data Science and A.I. as well as a proven business leader.

With degrees in Computer Science, Clement spent 14 years building large-scale and Enterprise-level software products and services in areas traversing Content Management and Enterprise Search. Responsible for strategy and product development, Clement directed enterprise teams for Microsoft such as SharePoint, and MS Enterprise Search, while building a proven track-record for recruiting and developing teams with exceptional culture. Prior to Microsoft, Clement started and ran several software companies.

Originally hailing from Romania, Clement lives in the Seattle-area with his wife and children. He is actively involved in a variety of philanthropies and applies philosophy to technology as he builds lasting companies.

Marketing Darwinism caught up with Kathy Visser-May, CMO of Acumatica, the world’s fastest growing Cloud ERP company. Kathy is a celebrated Marketer with experience traversing technology giants like Microsoft and PeopleSoft/Oracle and hyper-growth companies like Acumatica. Recently, she was named a CRN 2018 Woman in the Channel.

MD: Kathy, tell us a bit about Acumatica. We hear about the torrid growth. Any color you can add?

Kathy: Thanks Paul. Acumatica is focused on helping mid-size companies transform their business with a modern system that grows as they grow. The most forward-thinking companies are disrupting themselves to ensure they continue to be the architects of their future. This trend is affecting all industries, it doesn’t matter if you build buildings, manufacture auto parts, sell shoes online; disruption is happening, requiring companies to change how they operate and provide value to customers. As a result, the requirements of a mid market business to be competitive today are as complex as large enterprises were 10 years ago.

We have built a flexible, powerful, and secure platform that offers them speed and scale and connects their business in an end-to-end way. The growth is testament to the quality of the product and our unique licensing and deployment models that enable customers to scale as their business grows.

MD: You emphasize the Channel a great deal at Acumatica. Is it true that you are a 100%- Through-Channel company?

Kathy: For us, the Channel is our lifeblood. These amazing companies sell to and service customers with a deep understanding of their business needs across many industries and geographies. I like to say we don’t compete with our channel, we feed it. My team spends 50%+ of our resources and marketing dollars on creating high quality sales leads for our partners. Partners tell me all the time one of the reasons, in addition to our modern, cloud solution, they love selling Acumatica is because of our commitment to this model. We provide the Channel not only with technical knowledge but sales and implementation support as well. Such harmony is unheard of typically. So, yes, we are 100% Channel.

MD: You mentioned Digital Transformation. What does this mean specifically in the Acumatica context?

Kathy: We love the phrase Digital Transformation but are also aware of its shortcomings. For many businesses, the phrase implies something arcane and something “other” than what they are doing. But when you inspect the issue, ask the right questions, and find out that these very organizations are migrating to the cloud, digitizing process, and unifying Business and IT, you realize that they are in fact doing Digital Transformation. In our conception, it’s about two things: Operations and Customer Experience. We help Medium-sized companies operate in a manner that allows them to spend their energies engaging with customers and conferring that constantly-improving experience that their rightfully demanding customers ask for. The core concept of the DX journey is that the system at the center of the business must be one that is capable of housing the data needed across the business operations and the ability to provide real-time data and connection across all systems. Systems that house islands of data that have to be synchronized and reconciled are no longer effective in the modern world.

MD: ERP can at times seem “old hat.” What about emerging technologies?

Kathy: There are a few things embedded in this question. For some, the idea of ERP might seem to be yesterday’s news but for growing companies seeking to improve their engagement and experience, ERP can very well be a fresh and new way to approach their business. We are adaptable, flexible, and natively Cloud-based not cumbersome and laborious to implement. Interestingly, emerging technologies, especially AI, are a core pillar of our business. 75% of our resources are technical and we never have and never will stop engineering new products that transform how businesses operate and deliver value to customers.

No matter how much technology has changed our day to day lives, both at home and at work, what remains essential to running a successful business is customers—how you treat them, how they feel about your product or service, and whether they share those good (or bad) feelings.

In decades past, interacting with customers and helping to manage their problems and expectations was something that was left mostly to humans, which meant any good or bad things could also be subject to staffing or competing deadlines. But technology has helped with that in a unique way: by automating much of the customer journey through artificial intelligence, or AI.

Customers may not realize it, but a part of the process with many companies is already managed by AI. It’s helping with predictive needs, to name just one area. And its use will only continue to grow. This graphic explains what it’s doing and how business will continue to use AI.

Click To Enlarge

Via Salesforce