Five considerations when using AI

Issue 6 2023 AI & Data Analytics, Infrastructure

At the MMA Impact Forum, Helm CEO Dawood Patel shared some valuable insights into the world of AI and how businesses can harness its power to shape a better future.

Having built a suite of AI-powered products as far back as 2017, Helm has been in the AI game for a relatively long time, and that experience has taught the company that before implementing AI solutions for customers, certain principles need to be considered.

Patel says that it is essential to look at your business critically first. “When asking yourself if your business could incorporate AI, it is important to do an analysis of your existing systems and processes to determine where implementing AI is technically feasible. Some businesses are far ahead of others in terms of digitalisation, and if you are still playing in the analogue space, chances are that implementing AI is going to cause more problems than it will solve.”

“Next, ask yourself if your business should incorporate AI. You do not want to be making major changes to your business just because everybody else is doing it.”

As AI continues to change the game across entire industries at an unprecedented pace, Patel outlined five principles that the team at Helm encourage companies to consider when incorporating AI into their operations.

1. Timing is everything

When it comes to adopting new technology, timing is crucial, and the right timing varies from one business to another, and from one industry to the next. Generative AI remains largely unregulated, making it suitable for certain industries, like fashion labels looking to boost marketing efficiency, for example. However, heavily regulated industries like banking must exercise caution due to stricter privacy and security regulations. The best approach is to evaluate your needs against the potential risks and benefits presented by AI in its current life cycle.

2. Build a supportive ecosystem

Implementing AI is not a solo endeavour. It is important to have a team that is willing to take risks and push boundaries. Surround yourself with individuals who are enthusiastic about embracing AI technologies, as their support and collaboration will be essential for success. Failing to provide support may force these AI implementations into the shadows, which will create significant risks.

3. Cultivate a culture of tolerance for failure

"A person who never made a mistake never tried anything new." Einstein's famous quote resonates deeply in the world of AI and tech innovation. Mistakes are part of the learning process. Companies venturing into AI should acknowledge that it is an emerging technology, and hiccups will occur. Fostering a culture that accepts and learns from failure is crucial for sustained innovation.

4. Understand your customers

Putting humans first is a core principle at Helm, and it should be for any business. Before adopting new tech, understand your customers' needs, challenges and pain points. AI should serve as a tool to assist and enhance the human experience, not replace it. Thorough user research is invaluable in ensuring that the technology you implement genuinely benefits your customers, leading to a successful integration.

5. Plan to fail (And plan to recover.)

Failure is inevitable, but it does not have to be catastrophic. Businesses should plan for failure, anticipating where things might go wrong and creating contingency plans to adapt and move forward when they do. Planning for recovery is as crucial as planning for success.

In closing at the MMA Impact Forum, Patel reminded delegates that AI is still in its infancy, and the rules governing its use are not set in stone. “Companies have the unique opportunity and responsibility to shape the future of their industries. Embrace the challenge and seize the opportunity to lead rather than follow.”

“AI continues to reshape industries, and businesses must carefully consider these principles before diving headfirst into AI adoption. By understanding these principles, companies can navigate the AI frontier successfully and harness its power to transform their operations for the better.”

For more information go to

Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

Re-imagining business operations with the power of AI
AI & Data Analytics Surveillance
inq., a Convergence Partners company, has introduced a range of artificial intelligence (AI) solutions to assist organisations across industry verticals in optimising business operations and improving internal efficiencies.

Future trends for electronic safety and security in mining
Fang Fences & Guards Mining (Industry) Integrated Solutions AI & Data Analytics
The mining industry is ever evolving, driven by technological advancements and the growing need for enhanced safety and security measures, with significant innovation seen in turnkey electronic security for mining operations.

Unlocking Africa's AI potential
Editor's Choice News & Events AI & Data Analytics
Africa's AI market is set to grow exponentially; by investing in AI education, training, and ethical practices, African nations can harness the power of AI to transform the continent and create a brighter future for its people.

AI augmentation in security software
Security Services & Risk Management AI & Data Analytics
The integration of AI technology into security software has been met with resistance. In this, the second of two articles, Paul Meyer explores the challenges and obstacles that must be overcome to empower AI-enabled, human-centric decision-making.

Navigating South Africa's cybersecurity regulations
Sophos Information Security Infrastructure
[Sponsored] Data privacy and compliance are not just buzzwords; they are essential components of a robust cybersecurity strategy that cannot be ignored. Understanding and adhering to local data protection laws and regulations becomes paramount.

Is voice biometrics in banking secure enough?
Access Control & Identity Management AI & Data Analytics
As incidents of banking fraud grow exponentially and become increasingly sophisticated, it is time to question whether voice banking is a safe option for consumers.

Access & identity expectations for 2024
Technews Publishing IDEMIA ZKTeco Gallagher Salto Systems Africa Regal Distributors SA Reditron Editor's Choice Access Control & Identity Management Information Security AI & Data Analytics
What does 2024 have in store for the access and identity industry? SMART Security Solutions asked several industry players for their brief thoughts on what they expect this year.

Unleash the full potential of AI at the edge
Suprema AI & Data Analytics Access Control & Identity Management
Efficient AI algorithms, when embedded in edge access control devices, enable companies to optimise their use of AI and edge processing to deliver reliable and fast authentication.

Creating a cybersecurity strategy in a world where threats never sleep
Information Security Infrastructure
[Sponsored Content] The boom of Internet of Things (IoT) technology and the chaos that surrounded the sudden shift to work-from-home models in 2020 kick-started the age of cybercrime. In that period, incidents rose by 600%, affecting every industry and showing no signs of slowing down.

More than 1 in 4 organisations banned GenAI
Security Services & Risk Management AI & Data Analytics
Cisco released its 2024 Data Privacy Benchmark Study, an annual review of key privacy issues and their impact on business. Considering International Data Privacy Day, the findings highlight the growing privacy concerns with GenAI, trust challenges facing organisations over their use of AI, and the attractive returns from privacy investment.