By M.V.
Greene
If a
minority business enterprise (MBE) relies on technology to sustain and grow its
business, one thing is clear: There is no hiding from AI (artificial
intelligence).
According
to observers of business and technology, AI represents the greatest
technological advancement since the internet was commercialized in the early
1990s.
“AI has the
potential to be as impactful as the internet, and its innovation rivals some of
the most significant advancements in history. I believe it belongs in that
elite category,” said David A. Gupta, co-founder and executive chairman of SDI
Presence LLC, a Chicago, Illinois-based technology consulting and managed
services provider.
“It’s
really a new frontier out there for everybody,” he added.
And those
“everybodys” who should be focused on adopting AI protocols include
minority-owned and other diverse businesses, Gupta said.
Gupta’s
company is certified as a minority-owned company through the National Minority
Supplier Development Council Inc. (NMSDC) and enjoys status as a Corporate
Plus® member of the organization. That coveted designation is reserved for
minority business enterprises working with NMSDC that have been operating for
at least three years with annual gross revenues of at least $25 million,
attesting to their ability to execute national contracts for major
corporations.
In May
2024, SDI received the Supplier of the Year Class IV award from the Chicago
Minority Supplier Development Council (ChicagoMSDC), an affiliate chapter of
NMSDC.
In Chicago,
among its many activities, SDI is leveraging AI in a commitment to diversity
through a program to help create high-paying information technology (IT)
careers for residents in underserved local communities.
“AI,” Gupta
said, “has the opportunity to give access to technology to people who
traditionally have not been able to participate in our industry.”
For
minority-owned and diverse businesses, AI offers a sky-is-the limit
proposition, according to observers.
Legendary
author, strategist and consultant James H. Lowry has tracked the field of
minority business enterprise for five decades, and he, too, has been sounding a
clarion call that AI indeed presents an unparalleled opportunity for
minority-owned and diverse businesses.
“If we
don’t get in front of technology, and specifically, AI, you can kiss it
goodbye” is a message he has been directing toward diverse companies for
several years. “Right now, most of the money is being invested in AI
companies,” said Lowry, founder and CEO of James H. Lowry & Associates Inc.
and a longtime senior partner at Boston Consulting Group.
In a recent MBN USA column, he advised
minority entrepreneurs to embrace the potential power of AI technologies as a
strategy for business growth and wealth creation. “We must be at the table,
build a case for our involvement, and accept that we must think big,” Lowry
wrote in this column.
Gupta as
well is keen to understand the posture and hype occurring around AI today, as
the rapid momentum surrounding the technology is jaw-dropping.
The U.S.
Chamber of Commerce, in a 2023 report from its year-long study of AI by its
“Commission on Artificial Intelligence Competitiveness, Inclusion and
Innovation” — which included leaders from both government and the private
sector — opined that the
AI
development and AI-based systems are growing exponentially and will be in use
over the next 10 to 20 years in virtually every business and government agency.
AI, the
Chamber report said, “will have a profound impact on society, the economy, and
national security,” with global economic growth attributed to AI expected to
total $13 trillion by the end of this decade.
Competing
in the technology services industry, Gupta’s company is focused on enhancing
its own internal operations through AI, while also pushing out tools and
solutions to its customers.
“We’re
looking at AI throughout our organization for how we can make things more
efficient and make better use of the data we have,” he said.
On the
client delivery side, SDI, for instance, focuses on helping companies
accelerate the modernization of their legacy applications via AI, and Gupta
said the results can be transformative. He explains that large companies are
seeking opportunities to update their back-office systems away from mainframe
computing processes that they have had employed for decades.
Gupta said three key benefits to deploying AI
applications are reduced costs, speed to innovation, and productivity
efficiency, he said.
“Application
modernization [via AI] can update applications running on mainframes that would
normally take years to replace. You can do that now in weeks and months,” Gupta
said. “AI can make possible now what was thought to be impossible.”
Gupta calls
AI an opportunity for small and diverse businesses, that may not always be able
to compete on price within corporate and government supply chains, to create
strategic advantages in vying for new business opportunities.
“Every
small business needs to take advantage of their flexibility and their
nimbleness to embrace this opportunity and find where they can use a particular
piece of AI technology to differentiate their business and make it more
competitive,” he said. “If you are truly trying to differentiate your service,
AI can help you do that.”
AI — as
in, actual intelligence
But not
everyone is going full speed ahead to jump on the AI bandwagon. Take, for
instance, Shabazz Graham, co-founder of Qcast Ltd. His company developed the
Qcast app. Of course, he sees merit in AI.
“I
appreciate some aspects of artificial intelligence as an ‘efficient assistant,’
which is very much like the fast-moving adoption of the internet,” he said.
“When digital first took the world by storm, access to technology offered us
more reach, more speed and more efficiency, helping people achieve faster
turnarounds of essential tasks, especially in business, commerce, socializing
and general engagement.
“On the
other hand, I take the fast-moving adoption of certain aspects of AI as quite
concerning, as more than ever — despite our need for efficiency and speed — I
believe we humans truly need more of the ‘real’ instead of the artificial,”
Graham continued. “We need more AI — as in, actual intelligence — versus
artificial Intelligence. AI has been used amazingly to help answer basic,
factual questions posed by humans online. Still, it hasn’t mastered the human
art of asking questions only humans can, for the reasons only humans do.
Emotional intelligence trumps artificial intelligence on this front.”
It’s that
need for human contact that has made Qcast successful, he said.
“The name
of our platform, Qcast, stands for ‘question-cast.’ We are an interactive video
engagement tool built on questions — human questions,” Graham said. “Some have
mistakenly thought that we are powered by AI, but we have intentionally limited
our AI component to assist in the backend analytics of the video data that is
captured by our front-end tool, so as to intentionally maintain the human
element at the center of Qcast.”
AI
revolution
For those
minority-owned and diverse suppliers that may be slow to incorporate AI into
their business processes, observers say don’t be squeamish about adoption.
Gelyn
Watkins is CEO of Black in AI, a scholarly advocacy organization in Silicon
Valley, California, founded in 2017 that seeks to increase the presence and
inclusion of Black people in AI globally, said AI isn’t necessarily new and
that users are likely more comfortable with the technology than they probably
imagine.
“We’ve been
with AI really for the past 15 years, you just haven’t known that” she said.
“Anytime
that you’ve been using Alexa, anytime that you’ve been using Siri, anytime that
you’ve been using your cell phone and logging on to YouTube or Instagram, and
the algorithm that is being used to suggest your videos or power your feed with
information, you’ve already been engaging with AI systems. We weren’t
necessarily calling them out as such,” Watkins said.
Observers
say what is fueling AI development today is the sophistication of large
language models (LLM) that can process and generate human language. These
language models based on neural networking architecture can predict and
generate sequences from massive amounts of text data, allowing them to
configure complex patterns and relationships in language, according to general
AI definitions.
“We’re
still in the early part of the AI revolution, but the reality is that the
technology is moving fast in terms of what we are learning and what it can do.
In fact, we haven’t even exhausted what it can do,” said Watkins, whose
background includes finance and business strategy.
In charting
a course of AI technological development, Watkins said two decades ago new
technologies were being created largely to solve problems. But AI’s posture is
wide open — with a sort of “let’s build it and they will come” approach, she
said, with large technology companies seeking to edge to the forefront in the
development of large language models, including platforms like OpenAI’s
ChatGPT, Google’s Gemini, Microsoft’s Copilot and Meta Platforms’ Meta AI.
“Big tech
is in an arms race to get AI in the hands of consumers and users with these
large language models,” Watkins said.
For
businesses considering AI adoption, Watkins said companies first need to
understand their internal operational landscape to locate and document gaps in
the business that need to be closed. Then they need to consider the
possibilities that generative AI can now offer in closing gaps and alleviating
“pain points” in the operation, Watkins said.
For
instance, in supply chains, companies may not understand all the data that is
being generated and can leverage AI tools to help them make sense of the data
and connect more efficiently with supply chain partners, according to Watkins.
One charge
of the Black in AI organization is to seek clarity on how LLMs are developed
and deployed and their ethical and everyday impact on people of color. For
instance, observers say AI can address — yet also exacerbate — the racial
wealth gap globally unless careful consideration is given to how algorithms are
presented in instructions for solving problems.
Watkins and
other Black in AI principals challenged the Congressional Black Caucus in a
March 2024 white paper, for instance, to understand that it needs to play a key
role by grounding its policy agenda in the context of recent AI developments
and their implications for Black Americans through applying a “new lens” to the
opportunities and risks of AI development.
To ensure
economic mobility access for all people, businesses, policymakers, etc. “will
need to be mindful of AI systems and their use and application across various
domains in our society,” Watkins said.
“You need
to understand how the AI tool is working to ensure that you are not
disenfranchising any particular group,” she added. “The (social) problems of
the day haven’t changed. The civil rights issues of the day across
business, education, health care, etc., have not changed because of AI.
They will not necessarily improve because of AI. So, you do need to understand
how the tools are being utilized in any given context, and what groups might be
negatively impacted through its application (within that context).”
To learn
more about SDI, visit sdipresence.com.
To learn
more about James H. Lowry & Associates Inc., visit minoritychangeagent.com.
To learn
more about, Qcast, visit qcast.io.
To learn
more about Black in AI, visit blackinai.github.io.
To learn
about the 2023 U.S. Chamber of Commerce AI report, visit
uschamber.com/assets/documents/CTEC_AICommission2023_Exec-Summary.pdf.