Generative AI: Move beyond the hype to achieve competitive advantage

Issue 2/3 2023 Editor's Choice, Infrastructure, Security Services & Risk Management, AI & Data Analytics

Chatbots have long been considered one of the most promising applications of artificial intelligence (AI). By enabling AI at scale, a bot like ChatGPT can dramatically accelerate the training of large language models – neural networks with several hundred billion parameters – to create what is today called generative AI.


Michael Langeveld.

Current models not only enable conversations in natural language, but they can also do everything from writing scientific papers and hacking instructions, to finding bugs in code and creating pictures in the style of Vincent van Gogh.

There are multitudes of practical, legal and ethical problems that need to be considered. This includes the discovery that these machines can make mistakes, they can lie with a poker face and their judgments can be biased.

Towards a general enterprise intelligence

Many of the current experiments with generative AI showcase the incredible potential this technology holds to optimise enterprises’ business processes, increase their productivity and strengthen their competitive advantage.

In practice, this could include the use of a classic chatbot to improve customer service, to answer questions from the legal or R&D; department or to generate step-by-step instructions for troubleshooting a faulty production machine.

This is only the first step on the AI journey. In the future, an AI chatbot could be able to provide an answer to virtually any question, such as the current status of a product launch, relevant changes in tax law, or the appropriate response to geopolitical events.

Generative AI: Only the tip of the iceberg

Generative AI initiatives in the enterprise will typically start with experiments, pilots and proofs of concept, but if the goal is to move from pilot to production at scale, there are a number of strategic, organisational and technical prerequisites and dependencies that must be considered right from the start. These include:

• Data maturity level: A generative AI initiative will only survive and scale if a company has reached a certain data maturity level – i.e. strategic, organisational and technical capabilities that enable it to create value from data using AI.

• Data architecture and governance: If an AI chatbot is to be used for company-specific use cases, it must be continuously trained with data from your own company. Hence, it relies on the availability of this data in sufficient quantity and quality. When it comes to scaling the chatbot deployment, consistent, company-wide data architecture and governance is required.

• Hybrid platform approach: Model training and inference can run on centralised AI supercomputers operated by the large language model providers (e.g., OpenAI, Aleph Alpha, Google) but there are various reasons why, in the long run, companies will have to establish a hybrid or edge-to-cloud platform approach.

• Digital sovereignty: It is highly likely that the market for large language models will be dominated by a small handful of providers worldwide. This makes conversations around digital sovereignty important – i.e. the reduction of dependencies and the protection of intellectual property.

• Process integration: When planning AI applications, organisations must integrate them into existing operational and technical processes. Relevant processes include application and data lifecycle management, security, operational planning and control processes, operational safety and risk management.

Start or wait?

According to Gartner‘s latest AI hype cycle, which was published before ChatGPT went online, generative AI is sitting before the peak of inflated expectations. Assuming that we have now reached the peak, we can soon expect a period of disappointments and doubts around whether or not AI will really live up to our expectations. Gartner predicts the plateau of productivity to be reached within two to five years.

So should you start now or wait? It depends on your innovation strategy. Companies that want to increase their competitiveness through continuous innovation should definitely start now, but the hype should not obscure the fact that the use of AI chatbots in the enterprise – like any AI deployment – is very complex. It requires planning, preparation, knowhow, training and continuous development if it is to scale and deliver sustainable productivity.

Find out more at www.hpe.com/AI




Share this article:
Share via emailShare via LinkedInPrint this page



Further reading:

Navigating the evolving tech landscape in 2024 and beyond
Residential Estate (Industry) Infrastructure
Progress in the fields of AI, VR and social media is to be expected, but what is not, is our fundamental relationship with how we deploy solutions in our business and how it integrates with greater organisational strategies and goals.

Read more...
SMART Estate Security returns to KZN
Nemtek Electric Fencing Products Technews Publishing Axis Communications SA OneSpace Editor's Choice News & Events Integrated Solutions IoT & Automation
The second SMART Estate Security Conference of 2024 was held in May in KwaZulu-Natal at the Mount Edgecombe Estate Conference Centre, which is located on the Estate’s pristine golf course.

Read more...
Latest AI solution to manage guards
DeepAlert Products & Solutions Surveillance AI & Data Analytics
No guard at the guardhouse? Guard under duress? Guard asleep? DeepAlert’s AI technology delivers real-time alerts to mobile phones and video management systems, helping you manage your guards more effectively.

Read more...
Using KPIs to measure smart city progress
Axis Communications SA Residential Estate (Industry) Integrated Solutions Security Services & Risk Management
United 4 Smart Sustainable Cities is a United Nations Initiative that encourages the use of information and communication technology (including security technology) to support a smooth transition to smart cities.

Read more...
Enhancing estate security, the five-layer approach
Fang Fences & Guards Residential Estate (Industry) Integrated Solutions Security Services & Risk Management
Residential estates are designed to provide a serene and secure living environment enclosed within gated communities, offering residents peace of mind and an elevated standard of living.

Read more...
Creating employment through entrepreneurship
Technews Publishing Marathon Consulting Editor's Choice Integrated Solutions Residential Estate (Industry)
Eduardo Takacs’s journey is a testament to bona fide entrepreneurial resilience, making him stand out in a country desperate for resilient businesses in the small and medium enterprise space that can create employment opportunities.

Read more...
2024 Southern Africa OSPAs winners announced
Editor's Choice
The 2024 Southern Africa Outstanding Security Performance Awards (OSPAs) winners were revealed on Tuesday, June 11th, at the Securex South Africa Seminar Theatre hosted by SMART Security Solutions.

Read more...
Resident management app shows significant growth
Editor's Choice
My Estate Life is a mobile app for residents and managers in housing estates and buildings. Its core aim is to be an easy gateway for residents to manage visitors and staff, and to communicate and administer general property in a simple interface.

Read more...
Local manufacturing is still on the rise
Hissco Editor's Choice News & Events Security Services & Risk Management
HISSCO International, Africa's largest manufacturer of security X-ray products, has recently secured a multi-continental contract to supply over 55 baggage X-ray screening systems in 10 countries.

Read more...
NEC XON shares lessons learned from ransomware attacks
NEC XON Editor's Choice Information Security
NEC XON has handled many ransomware attacks. We've distilled key insights and listed them in this article to better equip companies and individuals for scenarios like this, which many will say are an inevitable reality in today’s environment.

Read more...