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.

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