Marketing Darwinism is please to announce some exciting news shared with us in AI …

Applications and Experiences company Advaiya launched a consortium “PeripheralAutomation.org” to help organizations standardize and accelerate their adoption of Artificial Intelligence (AI) and digital-led innovation. Launch partners include ExoFusion, arrowWebs, Nexsys, Ashby & Gabriel, and Passionfruit.

Advaiya developed Peripheral Automation to address a growing customer need: leveraging AI and automation for increased productivity without the disruption of overhauling existing systems. This approach allows organizations to gradually integrate innovation and automation into peripheral systems, minimizing risk and providing valuable insights before scaling to core processes to build a core-AI.

Advaiya CEO and creator of Peripheral Automation Manish Godha said, “Organizational leaders must think of short-term continuity and long-term disruption simultaneously.  Advancing a disruptive technology agenda too quickly or without the requisite context and culture to manage the change is hasty and wreaks havoc. That is where Peripheral Automation as an approach comes in.”

AI has taken the world by storm. Analysts suggest that Enterprise AI will grow 50% YoY between 2024 and 2029, amounting to hundreds of billions of dollars spent. Still, executives are charry of the results to date, suggesting that many current AI investments have not either produced ROI or delved deeply into vertical and scenario-based contexts.

According to ExoFusion CEO Romi Mahajan, an early adopter of Peripheral Automation, “We must distinguish between real and rhetorical AI. With Peripheral Automation, we can start to gain the benefits of AI in the ‘periphery’ of our business without taking a wrecking ball to existing systems. Once we get the hang of it, we then can move AI into the core. In areas like Fusion Energy, where ExoFusion focuses, adopting AI without context and a plan is dangerously hasty.”

Mahajan and Godha will discuss Peripheral Automation at Informa’s AI Summit in New York Dec 11th. The session can be found here – https://newyork.theaisummit.com/the-ai-summit-new-york-2024/peripheral-automation-entry-point-ai

About Advaiya

Advaiya Solutions is a leading technology company that empowers businesses to thrive in the digital age. Advaiya specializes in delivering innovative solutions to help organizations in their technology needs around work and operations, customer engagement, and leveraging data.

Advaiya helps organizations enhance customer engagement, streamline operations, and drive growth through tailored solutions while understanding business context and needs. Advaiya is the creator of Peripheral Automation; this framework allows businesses to incrementally adopt AI and automation by focusing on tasks and processes surrounding core business data, minimizing disruption, and maximizing efficiency.

With a team of experienced professionals and a customer-centric approach, Advaiya leverages cutting-edge technologies, including its expertise as a Microsoft Solutions Partner and Sitecore specialist, to provide tailored solutions that meet the unique needs of each client. Committed to excellence and innovation, Advaiya Solutions has established itself as a trusted partner for businesses seeking to achieve their digital transformation goals.

Press Contact: Dharmesh Godha, President Advaiya
[email protected]

Hot off the presses here is an interview with Victoria Cote the conference producer of AI Summit in New York

SPOILER ALERT I will be speaking there with my dear friend Romi Mahajan!

Q:  Informa’s AI Summit has become an important conference on the AI circuit. Can you tell us a bit about your role and what your vision for the Conference is?

As the Conference Producer for The AI Summit series, my role centers on curating and developing content that captures the most urgent and innovative developments in AI today. I’m responsible for producing the Practitioners, VisionAIres, and Solution Center stages at our flagship events in New York and London, while also anchoring The AI Summit Cape Town within the Africa Tech Festival, which has been a cornerstone of the industry for 27 years. My goal is to create a platform that not only showcases groundbreaking advancements but also connects AI leaders across different sectors, influencing impactful partnerships and actionable insights.

Specifically for Cape Town, my aim is to ensure the summit addresses Africa’s unique challenges and opportunities by bringing in global leaders like Google, HPE, and Meta to share their insights. Through this addition, we’ll also provide attendees with access to a broader, more diverse audience, creating unique opportunities for global collaborations. My ultimate vision is to make The AI Summit Cape Town and Africa Tech Festival the must-attend AI event on the continent, where industry leaders, innovators, and decision-makers converge to shape the future of AI in Africa.

Q: What is the VisionAIres program, and how does it enhance the AI community?

The VisionAIres program is designed to elevate the AI Summit experience by bringing together senior-level executives and thought leaders who are at the forefront of AI innovation. It’s more than just a networking opportunity; it’s a space where industry leaders can engage in deep, strategic conversations about the future of AI. Peer-to-peer connections, knowledge sharing, and networking are at the heart of this program, and they are more imperative now than ever as the AI market evolves so rapidly. What sets VisionAIres apart is that it’s not limited to our live events—it’s an active community that connects members on a monthly basis through virtual roundtables, ensuring ongoing engagement and collaboration. By focusing on both global perspectives and local challenges, especially in regions like Africa, the program enhances the AI community by driving high-impact discussions that lead to tangible outcomes. This is essential in bridging the gap between different markets and nurturing relationships that have the potential to make a significant impact on a global scale.

Q: What role do events play in the overall marketing landscape?

Events like The AI Summit are crucial in today’s marketing landscape because they offer a unique opportunity for brands to connect with their target audience in a meaningful way. Unlike other marketing channels, events provide an immersive experience where brands can showcase their innovations and interact directly with industry leaders and decision-makers. This is particularly true in the context of Africa, where The AI Summit Cape Town, offers more access to a diverse and rapidly growing market. By participating in these events, brands can build strong relationships, gain insights into emerging trends, and position themselves as leaders in the AI space.

Q: What are some of the AI trends you are seeing, and what do we need to look out for?

AI is moving at lightning speed, and several key trends are really shaping its future across the globe. A major focus right now is on Responsible Innovation and Ethical AI, ensuring that as we push the boundaries of what’s possible, we’re also managing AI’s impact thoughtfully to promote sustainable and equitable growth. AI Governance is another hot topic, with ongoing discussions about creating policy frameworks that strike the right balance between innovation and societal needs.

We’re also seeing a big push for AI-driven Economic Growth, especially in areas like agriculture and healthcare, where AI can make a huge difference. Generative AI is another exciting trend—it’s making technology more accessible to non-experts, which is helping more people get involved in the digital economy.

Another pressing trend is the focus on addressing the AI skills gap, which is crucial as the demand for AI expertise outpaces the current supply. Upskilling initiatives are becoming essential to equip the workforce with the necessary skills to thrive in an AI-driven world.

Q: What is the best message to AI marketers for sponsoring or connecting to the AI Summit?

For marketers, The AI Summit offers a unique opportunity to connect with a diverse and influential audience. The key message for sponsors should focus on the value your brand brings to the technology ecosystem, especially in addressing specific challenges and opportunities within emerging markets. By aligning with The AI Summit, you’re not just gaining visibility—you’re positioning your brand as a leader in a market ready for significant growth. It’s about creating meaningful connections and contributing to the broader conversation on how technology can be leveraged for sustainable development.

Marketing Darwinism caught up recently with Brian Neirby CEO and Founder of Red Dragonfly VC

1. Brian, tell us about Red Dragonfly’s thesis? What are you looking to do differently in the world of investment?

We believe the VC space has been watered down by funders that lack any operating expertise. Funding can be a commodity; what really drives value is deep context and domain expertise. Our North Star at Red Dragonfly is bringing a constant and objective source of value-addition to our entrepreneurs. Our experience comes from doing the work in the roles of many of our portco executives. We would never ask any of our partners to do something we wouldn’t do ourselves.

2. You have a sectoral approach. What sectors and what are you looking for in investment targets?

We are excited, animated even, by four sectors at this point-

· Sports and Entertainment

· FinTech

· AI and Vertical ML

· Blockchain

3. Team RDF has a great deal of experience in many sectors. All of you have amazing backgrounds. How is RDF more than just the sum of the founders?

Our team members (present and future) have built our own business in some form. We’ve succeeded, failed, and trifled, and those experiences are tools for our entrepreneurs to tap into. We understand that both we and our entrepreneurs are human beings.

As a team we are inherently collaborative. We bring no egos to the table, just friendship and a desire for success. Being generous of spirit makes our team larger than life.

4. What are you looking for in the entrepreneurs you support?

Disruption, Humility, Honesty, Leadership, Culture, and Realism. We want a combination of gut-feel and data-driven companies. We call it conviction with humility.

5. What are you most excited about, as we lean into 2025?

The incredible entrepreneurship in our ecosystem. We are so fortunate to have a view into emerging business on a global scale. Whether in the United States, Canada, Italy, Cyprus, Singapore, UK or India. We are excited about how we will each benefit on a global scale from the growth of entrepreneurship and the assumption of risk (and reward) that is part of the culture in so many geographies.

An Interview with Manish Godha, CEO Advaiya

What is Peripheral Automation and why is it important to enterprises?

Manish: Peripheral Automation refers to an approach to enterprise architecture that views the automation in an enterprise as layers—with standard and robust core applications and databases as the base and vibrant interfaces and experiences at the top meeting the business’s unique process and information needs. It recognizes that the need for permanence is the highest at the base and innovation most rapid at the periphery. It can be contrasted with a monolithic architectural approach where unique contexts are addressed via fully custom-built applications or through deep customization of standard applications. This approach prioritizes agility along with reliability. Peripheral Automation is not a one-time endeavor but a series of strategic initiatives and experiments. This incremental approach minimizes disruption and allows for confident scaling, laying the groundwork for ever more comprehensive digital initiatives.

Whether through data automation, process automation, or leveraging intelligence with AI and ML, Peripheral Automation drives transformative experiences and effectiveness within a robust enterprise architecture. It allows robust core systems of records to support an enormous constellation of stakeholders, partners, users, devices, and platforms in an agile manner.

For an enterprise, the Peripheral Automation approach helps to stay competitive and responsive to evolving market demands. It allows organizations to enhance productivity, streamline operations, and optimize resource allocation while leveraging existing systems and investments. Peripheral Automation enables organizations to navigate complexity with precision and confidently drive innovation. This approach not only fosters agility and adaptability but also enables differentiation and strategy execution while leveraging robust, time-tested systems of records, retaining reliability and continuity.

What problems does it solve and why is it the best path to “getting there?”

Manish: Technology is a great enabler of businesses and at the same time a source of their frustrations. The promise of technology is often juxtaposed with costly and lengthy deployments and lack of flexibility. As businesses build their enterprise IT architecture, they often choose reliable, time-tested solutions which can often be generic, feel stale or be limiting. The alternative can be effort intensive customizations which can require not so easily available talent to build and run without having prior evidence of being sufficiently reliable. Thus the challenge is how to provide differentiated and ever-evolving experiences while maintaining a robust core which can be relied on for continuity and coherence. In dynamic business environments (which most businesses face today), architecture has to ensure that while being robust and reliable, it also allows for rapid changes and innovation.

Peripheral Automation recognizes that businesses rely on core systems of records—information assets relating to their customers, employees, products, transactions, and so on. These systems have to support operations and strategy execution in a dynamic environment where changing contexts have to be responded with rapidly rolling out novel interactions and experiences. The Peripheral Automation approach ensures that it is easy and natural for businesses to do that.

As you break systems into systems of record and systems of engagements, what role does PA play?

Manish: Peripheral Automation entails careful identification of core databases, business processes, and stakeholder needs. It enables aligning them in a flexible manner while creating required data links to consistently enrich data through the process.

Specific interactions and experiences are then mapped onto this core—built of key processes and databases. In general, Peripheral Automation supports building the core by leveraging time-tested, highly available, and supported data and business application platforms. These business applications, thus, serve as systems of records, enabling constellations of services, apps, interfaces, and customizations, enabling stakeholders to achieve their goals. These are built to be modular, specific, and disposable—thus, businesses can rapidly and flexibly modify their stakeholder experiences and engagements as per strategic needs.

Is Peripheral Automation being accelerated with AI?

Manish: AI is clearly a force multiplier for Peripheral Automation. AI accelerates and makes Peripheral Automation exponentially more effective. The enterprise architecture perspective enabled by Peripheral Automation allows embedding AI at every level. AI models built with core records are very much a part of the core systems and can be leveraged by process automations and can power the interactions. AI based data enrichment and consolidation can mean that myriad disparate business systems can rapidly and reliably serve as core systems of records. At the same time AI tools now allow newer multi-modal enagements to be built quickly, powered by the same core systems of records augmented by core models. AI tools speed up the development and refinement of data and process automations, thus enabling rapid experimentation and evolution of systems of experiences and engagements.

What is the role that Advaiya plays with customers in using PA for successful outcomes?

Manish: Our approach is guided by the principles of care, competence, and context. We recognize that technology is only effective when it is tailored to the specific needs and challenges of each business. By the leveraging Peripheral Automation approach, we provide robust and dependable core platforms, databases, and models, enabling agile interactions and engagement.

This approach allows efficiencies to be achieved with business applications that are built on core records with standard and time-tested automation based on industry best practices. Further productivity and differentiation is achieved via tailored and unique interactions and experiences built in alignment with business strategy and differentiation. For instance, with Peripheral Automation, a customer relationship management solution not only builds centralized customer data sets, but also enables independent automation for specific customer interactions allowing personalized engagement and fostering long-term customer relationships, thereby driving revenue growth and market differentiation.

Romi Mahajan President Pepper
Pulak Sinha CEO Pepper

Well, that’s why we build warning systems and endow people with the intelligence to act on them. And that’s why we have regulations and ask organizations to comply. It is worthwhile pausing for a moment to consider what’s at stake. When we look at the Asset Management industry as a whole, we see that it manages in excess of $120 trillion world-wide. Such sums are staggering and remind us of the famous, though apocryphal Willie Sutton story- “that’s where the money is.” The largest individual firms manage $3+ trillion. Put simply, even small failures in this industry have cross-sectoral, and fundamental effects on the economy as a whole and, ultimately, lives. We cannot afford that. Ever.

This industry cannot afford to meet the challenges of complexity, growth, regulation, compliance, and risk management with technologies that are built for other industries and ported to Asset Management after-the-fact. This industry cannot afford to meet these challenges as a technology laggard, as one so occupied with costs that it loses sight of the big picture.

Whatever the difficulties and stresses of day-to-day life in the industry, we must reject the idea that “it’s good enough.” Firms that manage hundreds of billions of dollars and dazzle investors with talk of AI, modernity, and innovation that they turn around and manage assets, dollars, and decisions on Excel are on the precipice. It is not a matter of if but when. Even the most venerable names have their “Kodak” moments when they stop paying attention to systems and cultivate a culture of dismissal.

It’s not simply a matter of efficiency, security, error management, or expedience. It’s not simply a matter of maximizing ROI by a basis point or two. What’s at stake here are “company extinction” events.

Modern business and technology have converged into a singularity. The stakes to get it right are high. Therefore it is high-time the Asset Management industry faces reality squarely.

Let’s be smart. Don’t settle for “good enough” because one day it will fail. Invest in the right systems and don’t run your business on Excel. Think of reporting requirements not as onerous but as good gut-checks. Together, united, we can build a culture of success.

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.

A guest post by: Romi Mahajan, CMO Quantarium

Residential real estate – peoples’ homes – is the world’s largest asset class, tipping the scales at almost $200 trillion worldwide.  This number is staggering to many, including those in the housing industry.  Larger even than the sums involved are the emotions – a family’s residence is likely its largest investment and one from which, so many other life-factors radiate:  Who are your neighbors, what schools do your kids attend, are you safe, how close are you to good medical care, and so on.  Insofar as this is true, the housing sector can never be given too much attention by Economists, Sociologists and even Technologists.  Still, in many ways the sector has been given short shrift.

Consider a matter at the heart of the industry – the value of a particular house.  What appears to be a simple question with a simple answer is not.  Sure, one can look at the basics – how big it is, the year built, comparable houses in the neighborhood and so on.  One can even attempt to factor in other variables – school district, crime statistics, proximity to the beach, and a host of other things.  All said and done, all of these factors are “external” and in many ways “non-specific.”

Let’s pause for a moment.  While these factors are indeed external, we have to ask ourselves a basic question – how do I get specific?  How do I assess the value of a particular house, looking beyond these basic factors and in the process taking into account the condition of the house and the nature of its interior landscape?

For most of us this is an obvious question.  After all, if you put in a lot of money to modernize or refurbish a house, you would expect that its value rises, even if your work and effort is not recognized in the external statistics being looked at for valuation.  If you, on the other hand, paid no attention to the house and allowed it to atrophy, you’d likely expect the value to diminish.

This issue is often “solved” by Appraisers, who theoretically take into consideration all of these interior and condition-based factors when assessing the value of a house.

Now, we enter a world fraught with problems.

For the purposes of this short piece, we won’t get into the debates about the objectivity of Appraisers or even about the shortage of talent that is delaying closings in many large markets (in the US for sure.)  These issues are fertile grounds for discussion, elsewhere.

No, the main issues we intend to dissect here are the issues of scale, speed, and customer experience.

In the US, there are over 100 million residential units.  Now imagine you work at a bank or other institution that originates and/or “owns” millions of mortgages and wants to determine the value of your portfolio in toto?  Imagine, further, that you need to do so every month.  After all, you need to keep track of your assets, make decisions about where to keep houses and where to sell houses, and assess your risk in holding these mortgages.  The issues of scale and cost are enormous.  You certainly can’t send an appraiser to each house.

Imagine a different scenario.  A consumer lives in a city with a very fast market and needs to make decisions on the spot whether to buy a house.  Waiting even a few hours, not to mention days, can mean losing a house.  In this cauldron, determining the true “value” of a home has to be done instantaneously.  Here, the issues of speed are paramount.

Finally, imagine you are a real estate agent with a demanding (and rightfully so) customer who wants to buy a house.  You have visited 10 houses to determine fit and have been disappointed by their dilapidated interiors.  You are not paid for your time, only for results.  If only, there were ways to determine condition and value based on condition in a way that was easy for the customer (in this case, you.)

Enter technology, specifically AI and its offshoot, Computer Vision.  Artificial Intelligence yields a potent set of tools for real estate, starting with valuations.  First of all, AI is “better at the basics” than non AI methodologies.  To get even a basic valuation of 100+ million properties every month is not trivial; with AI, the entire US footprint can be run in hours not weeks.  The idea is simple:  Computers can learn from data sets of a critical mass, then keep improving their outputs as more data comes in.  Machine-learning is just that- machines that actually “learn” and thus can offer results and outputs that are neither obvious nor simply the result of brute-force methods.  AI can thus help with the scale and speed components.

Computer Vision comes in here in a delightful way.  If you look at house-listings, they often come with a multitude of pictures.  Computer Vision can analyze and categorize these pictures- with speed and fidelity- thereby assigning “condition” scores to kitchens, bathrooms, and other hotspots in the house.  In this way, they can help offer a “condition-adjusted” value.

Put all of this together and you get a powerful mix.  Automated Valuation Models (AVMs), powered by AI can provide accurate valuations at scale and with enormous breadth.  Add condition-adjustment, powered by Computer Vision, and you start to see technology giving its due to the vexing problems and incredible opportunities in the real estate industry.

Submitted article by Romi Mahajan

Chief Commercial Officer, Quantarium

The world of technology is known as much for its hype as it is for its legitimate innovations.  Atone level, this is understandable. Dreamers can only accomplish big things when they dream big and followup on those dreams with supporting rhetoric. At a different level, however, it serves to dupe consumers, customers,and investors into alchemist fantasies that often defy the laws of physics.  What we need, naturally, is a balance.

With AI, and claims about it, we as a community have come to the point where we have to decide if we are okay with “fact-checking.”  Are all claims about AI fair and accurate?  Do all companies that claim to be “doing AI” pass muster in that regard? After all, haven’t many organizations referred to any and all of their “data”initiatives as AI? Have we diluted the term so as to make it meaningless?

Discerning investors have started to kick the AI tires.  Highly skilled Scientists and Engineers increasingly refuse to be beguiled by marketing claims, choosing instead to dig deeply into the code and methodologies surrounding its production before allowing themselves to be recruited by the countless organizations that seek the limited supply of talent. 

Perhaps more relevant, still, is that people in all roles ask one fundamental question:  “Is there any relevant and practical application to the AI work you are doing?”

On all these matters, Quantarium can hold its head high.  From “Real AI” to “Real Applications of AI,”Quantarium is altering and enhancing our notions of what is possible in residential real estate, the world’s single largest asset class.

Take for instance an important but mundane question, likely asked by millions of people every day.  “What is my house worth?”  Several pundits will offer several answers to this question, no doubt.  But, will the answers be accurate and in this case, what does accuracy even mean?  What data goes into the answer?  Do we have all the data we need?  Is it all available? Do the data we collect account for every single aspect of the house that could or should go into the valuation? 

Now take an extrapolation of this question with magnified scale.  Imagine you are the CEO of a large bank that “owns” half-a-million residential mortgages. What is your portfolio worth?  How much risk are you holding in the portfolio?  Are you too exposed in a particular geography or demographic?  Do you have sufficient data and the ability to process and make sense out of it?  Can you do this all with the speed that is called for by regulation and market conditions?

These questions are easy to pose but hard to answer.  Further, while these questions may not seem “sexy,” they underscore the reality of the single biggest source of economic value and for most families the single largest source of equity.  Using AI to drive accuracy, speed, and scale in this market is complex, genuine and incredibly important.Indeed, real AI applied to real industries with real outcomes is the name of the game. Therein lies the balance we seek, the convergence of both the hype and of the reality.

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.

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