Business

Chicago-Based Serial Entrepreneur Jonte Wells Explains the Importance of Having Multiple Revenue Streams

Published

5 years ago

October 14, 2021

The world today is far different than just a few years ago. Pandemic aside, the rapid changes occurring on a global basis are incredible. For many, the onset of the global pandemic led to disaster, failing businesses, and struggling to find a way forward. Yet, for other companies, and entrepreneurs, weathering this storm isn’t as challenging. That’s because they have multiple revenue streams, diversified enough to withstand virtually most types of ups and downs. Series entrepreneur Jonte Wells has worked hard to develop a path that enables him to not just withstand these challenges but to help others do the same.

The Value of Multiple Revenue Streams

Jonte has built several successful companies throughout his career. That includes Greater Purpose Athletics and Greater Purpose Management, the two focuses of his time now. Both revenue streams create opportunities to support each other and enable Jonte to build his success.

Why is this valuable, to have two revenue streams or more? There are several reasons. Jonte states, “I started in the inner city of Chicago with few opportunities to build success. I didn’t have access to supports facilities to support my growth. I knew then that I wanted to do more than just play basketball. I wanted to achieve success as an entrepreneur and then bring that success back to my community to support others.”

Having more than one revenue stream enables that type of aspiration to be possible. The pandemic may cause some businesses to struggle, such as how the restaurant industry was hit hard without access to customers during the pandemic. Yet, for grocers, it was a gold mine, as it was for those able to provide a digital service to their customers.

The same applies to young athletes who want to do well. “You can and should focus on building your skills on the court, but you also have to work on brand management on the side – because that’s going to help you to build more than one way to earn money.”

He continues, “What we are doing with Greater Purpose Management is providing those young superstars with the insights and support they need early on, the services I didn’t have so that they have a better chance of long-term success and growth.”

Jonte, known for his basketball career, and both Greater Purpose Athletics and Greater Purpose Management, is also in real estate. He’s created a successful portfolio of numerous properties and flips houses year-round. In addition to this, he also launched Sugaring NYC, an organic waxing studio.

It is the combination of each of these businesses that have allowed him to build a wealthy empire. Now, he’s empowered by being able to focus on helping others. That’s just what he is doing for athletes looking for a way into this industry.

What’s Holding Back Today’s Entrepreneurs?

Those who wish to open a business face more obstacles today than ever before. They are facing complications related to the pandemic itself, such as fewer routes into traditional business positions. For some, the cost of living and expenses of day-to-day life limit the reach of a potential entrepreneur. Even in a modern world, a person living in inner-city Chicago will find it challenging to find a way out, a way to build on an idea or skill that has true profitability.

With those barriers come others – the lack of access to support systems and mentorships being one. Without direction and support, it becomes difficult for any individual, regardless of where they live, to have a way forward.

Supporting the Young Business Owner

For Jonte Wells, the focus isn’t just on any person who wishes to build a business, but on the young athletes in inner-city Chicago and elsewhere that have skills and talent that they are not able to fully utilize to get them into a stronger future. For example, Jonte himself began his path towards serial entrepreneurship as a young athlete. He didn’t have access to a sports facility or a mentor to help him to get out onto the court and build up skill – and gain recognition for it. Today, he’s known as “the basketball guy” when he visits his clients, all of whom are young athletes who want to build a career in sports or fitness. These individuals come from some of the most challenging backgrounds, but they have skill, inspiration, and talent. His goal is to provide them with a way forward.

The Creation of Greater Purpose Management Hones in On Providing Opportunities

Jonte’s latest business is Greater Purpose Management. It’s designed to support those who need it the most in a positive and motivating manner. It’s not simply about finding a way into the sports world through the NCAA or professional basketball, though. He works directly with young athletes to help them to find their passion and builds their skills to build a brand and image from that point.

He says, “We work with athletes to ensure their on-court performance is the best. Then, we give them the ability to brand themselves so they can not only succeed on the court but also in numerous opportunities off the court.” Having multiple streams of revenue enables these individuals to gain confidence no matter what happens in their future.

He says, “We are very hands-on in our talent management. We treat each person like family, not just at the gym. We support them with what they need from athlete management services to working as a marketing agency to help them to build themselves on social media and digitally, creating opportunities for their future.”

Jonte didn’t have a simple path towards success as a young athlete trying to make his way in Chicago. Yet, he has worked hard to build a business model that provides numerous revenue streams for him, allowing him to not only find success for himself but to be able to give back to the community as well.

Speaking of Greater Purpose Management, Jonte says, “We make sure you’re educated regarding your financial assets, legal rights, and post-career options. We empower you with that knowledge to achieve multiple revenue streams, creating opportunities for your future long after you leave the court.”

Want to Learn More?

Connect with Jonte Wells on Instagram or find out more about Greater Purpose Management today.

Business

AI in Asset Management Explained: How Leading Firms Apply It

Published

1 day ago

April 16, 2026

Matthew Wiles

AI in asset management explained at its most basic level is this: using machine learning, data modeling, and automation to make faster and more accurate investment decisions. The applications vary widely across asset classes, fund strategies, and operational functions. Understanding where AI creates real value separates productive adoption from expensive experimentation.

Asset managers now face a data environment far larger than any human team can process manually. Market signals, company filings, macroeconomic indicators, alternative data sources, and portfolio monitoring all generate information continuously. AI tools process that information at scale. They surface patterns that traditional analysis would miss or find too late.

AI in Asset Management Explained Across Core Investment Functions

AI delivers the most measurable results when applied to specific investment functions rather than deployed as a general capability. The clearest applications sit in portfolio construction, risk management, and credit analysis.

Portfolio Construction and Factor Modeling With AI

Traditional portfolio construction relies on return and correlation assumptions built from historical data. AI-driven portfolio tools go further. They process real-time market data, alternative signals, and macroeconomic inputs simultaneously. This surfaces factor exposures that static models miss.

Machine learning models in portfolio construction can:

Identify non-linear relationships between asset classes that correlation matrices do not capture
Adjust factor weightings dynamically as market conditions shift rather than on a quarterly rebalancing schedule
Flag concentration risks before they appear in standard risk reports
Model tail scenarios using a broader range of historical stress periods than traditional value-at-risk models allow

James Zenni, founder and CEO of ZCG with over 30 years of capital markets experience, has built the platform’s investment approach around the principle that better data and faster analysis produce better outcomes. That view shapes how AI capabilities get deployed across ZCG’s private equity, credit, and direct lending strategies.

Credit Analysis and Private Markets AI Applications

Credit analysis in private markets has historically depended on periodic financial reporting and relationship-based deal intelligence. AI changes that model. Lenders using machine learning tools now monitor borrower health continuously rather than waiting for quarterly covenant tests.

Specific credit applications include:

Cash flow pattern analysis that identifies revenue deterioration weeks before it shows up in reported financials
Supplier and customer relationship mapping that flags single-source dependencies and concentration risks
Covenant monitoring automation that tracks hundreds of credit agreements simultaneously and alerts teams to early warning signs
Loan pricing models that incorporate current market spread data and comparable transaction history

These capabilities compress the time between identifying a problem and taking action. In credit, that time advantage directly affects loss rates and recovery outcomes.

AI in Asset Management Explained Through Risk and Compliance Applications

Risk management and regulatory compliance represent two of the highest-value AI applications in asset management. Both functions involve processing large volumes of structured and unstructured data under time pressure.

How AI Transforms Risk Monitoring in Asset Management

Traditional risk monitoring produces reports at set intervals. AI-powered risk systems run continuously. They flag anomalies in position data and monitor correlated exposures across a portfolio. Alerts fire when market conditions shift beyond defined thresholds.

The practical risk management applications include:

Real-time portfolio stress testing against live market inputs rather than end-of-day snapshots
Liquidity modeling that accounts for position size relative to market depth across multiple scenarios
Counterparty exposure monitoring that aggregates risk across instruments, custodians, and trading relationships
Regulatory reporting automation that reduces manual preparation time and lowers the risk of filing errors

ZCG applies these capabilities across its approximately $8 billion in AUM. The platform was founded 20 years ago. It built its investment infrastructure around systematic data analysis and operational discipline.

AI for Operational Efficiency in Asset Management Firms

Beyond investment decisions, AI delivers significant value in fund operations. Back-office functions like reconciliation, reporting, and compliance documentation consume substantial resources at most asset management firms.

AI tools applied to fund operations include document processing systems. These extract and verify data from offering documents, side letters, and subscription agreements automatically. Reconciliation tools flag breaks between custodian records and internal systems automatically. Investor reporting platforms generate customized materials from structured data inputs, reducing the manual production time significantly.

ZCG Consulting (“ZCGC”) advises operating companies across more than a dozen sectors on operational improvement programs, including technology-driven process redesign. Those operational efficiency principles translate directly to asset management back-office functions.

Applying AI to Asset Management: Limitations Firms Must Address

AI in asset management explained fully must include the limitations. Models trained on historical data perform poorly when market regimes change. Overfitting produces tools that work in backtests but fail in live environments. And AI outputs require experienced interpretation to avoid acting on statistically significant but economically meaningless signals.

The ZCG Team approaches AI adoption with the same discipline it applies to investment underwriting. Every tool requires a defined use case and a measurable success metric. A review process keeps experienced judgment in the decision chain. That framework prevents the common failure mode where AI adoption generates activity without improving outcomes.

Firms that treat AI as a capability layer on top of sound investment processes generate sustainable advantages. Those that treat AI as a replacement for process discipline find the technology amplifies existing weaknesses. It rarely corrects them.