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.”




Share this article:
Share via emailShare via LinkedInPrint this page



Further reading:

Suprema unveils BioStar Air
Suprema neaMetrics News & Events Access Control & Identity Management Infrastructure
Suprema launches BioStar Air, the first cloud-based access control platform designed to natively support biometric authentication and feature true zero-on-premise architecture. BioStar Air simplifies deployment and scales effortlessly to secure SMBs, multi-branch companies, and mixed-use buildings.

Read more...
Back-up securely and restore in seconds
Betatrac Telematic Solutions Editor's Choice Information Security Infrastructure
Betatrac has a solution that enables companies to back-up up to 8 TB of data onto a device and restore it in 30 seconds in an emergency, called Rapid Access Data Recovery (RADR).

Read more...
Open and collaborative logistics systems
Hikvision South Africa Surveillance Logistics (Industry) AI & Data Analytics
E-commerce and other high-volume logistics operations need open and collaborative technology ecosystems that drive efficiencies, throughput and digital transformation. Hikvision discusses the benefits of harnessing open and collaborative systems in the logistics market.

Read more...
The rise of AI-powered cybercrime and defence
Information Security News & Events AI & Data Analytics
Check Point Software Technologies launched its inaugural AI Security Report, offering an in-depth exploration of how cybercriminals are weaponising artificial intelligence (AI), alongside strategic insights defenders need to stay ahead.

Read more...
Hikvision launches latest range of cameras
Hikvision South Africa Surveillance AI & Data Analytics
Hikvision has launched its latest network cameras with ColorVu 3.0 technology and EasyIP 4.0 Plus, which elevate video security by delivering improved image quality, enhanced intelligent functions, superior audio capabilities, and a refined product design and materials.

Read more...
Platform to access data and train AI models
Milestone Systems AI & Data Analytics Surveillance
Milestone Systems has announced Project Hafnia to build services and democratise AI-model training with high-quality, compliant video data leveraging NVIDIA Cosmos Curator and AI model, fine-tuning microservices.

Read more...
The capabilities of visual verification
Secutel Technologies Surveillance AI & Data Analytics
Secutel Technologies has provided locally developed visual verification solutions for some time. SMART Security Solutions requested more insight into these solutions from the company.

Read more...
AI means proactive surveillance
DeepAlert Technews Publishing SMART Security Solutions AI & Data Analytics Surveillance
SMART Security Solutionsasked DeepAlert for some insight into how AI is transforming video surveillance, even to the extent of it being taught to protect the privacy of those in the cameras’ view.

Read more...
edgE:Tower video analytics integrated with SEON
Surveillance Integrated Solutions AI & Data Analytics
Sentronics has announced a new integration between its edgE:Tower advanced AI-driven video analytics solution and SEON, a Central Monitoring Software (CMS) platform. This integration enhances real-time situational awareness and automated threat detection for control rooms.

Read more...
Agentic AI: Building castles on quicksand?
AI & Data Analytics
Agentic AI covers a diverse range, from simple chatbots to the vision of fully autonomous systems that can act, reason, and take initiative. While the current hype often overshadows practical discussions, there is undeniable potential for rapid advances in this field.

Read more...