Capitalise AI to transform business ecosystems – NiBS doctoral graduates advised

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Integrating Artificial Intelligence (AI) has become a critical strategic imperative for organisations seeking to drive innovation, increase efficiency and gain a competitive edge.

In light of this, doctoral graduates from the Nobel International Business School (NiBS) have been urged to capitalise on AI to transform business operations.

Chief Executive Officer-Ghana Investment Promotion Centre (GIPC), Yofi Grant, in his address as special guest of honour at the graduation ceremony, emphasised that in today’s rapidly evolving business landscape, leveraging AI technologies to revolutionise the business ecosystem is the surest way to stay relevant and ahead of the competition.

“As businesses across industries face growing pressure to adapt to digital transformation, doctoral graduates are uniquely positioned to drive change through the intelligent deployment of AI solutions. By harnessing the power of AI to automate routine tasks, analyse vast amounts of data and extract valuable insights, businesses can unlock new opportunities for growth and optimisation,” he said.

Citing examples from China and Japan, he said: “Today, when you visit these countries, in the area of transportation we see fuel efficiency, e-vehicles, bullet trains and robots in factories. So, in business it facilitates the ability to deliver quickly, efficiently and more conveniently; but it comes with disadvantages, so highly educated people – like we are seeing today – are better-positioned to deploy these technologies for societal benefits”.

Furthermore, Mr. Grant noted that although the country’s policies currently are not inclined toward AI, scholars should endeavour to make a business case that will influence policies soon.

Founder and president of NiBS, Prof. Kwaku Atuahene-Gima, challenged the graduates to make changes in their professions by sharing what they have learned.

He highlighted that doctoral graduates possess a unique blend of business acumen and entrepreneurial spirit, making them ideal catalysts for driving AI-driven transformation within organisations.

“You are prepared to make significant strides in your respective industries thanks to your extensive education and research experience. NiBS is proud of your accomplishments and believes in your ability to lead in creating a better future for the business environment,” he said.

The NiBS Doctoral graduation ceremony saw 52 deserving students formally welcomed into the ranks of academic greatness with degrees such as Doctor of Philosophy (PhD), Doctor of Business Administration (DBA) and Doctor of Business Leadership (DBL).

The august occasion was held under the theme ‘Thriving Under Emerging Economic Opportunity: The Role of Artificial Intelligence’, which highlighted how AI will revolutionise science and technology in years to come.

Key areas where AI can make a significant impact I business include:

Predictive Analytics: Businesses can make informed predictions about future trends and outcomes by leveraging AI algorithms to analyse historical data and identify patterns.

Personalised Marketing: AI-powered tools enable businesses to create personalised marketing campaigns tailored to individual customer preferences, leading to higher engagement and conversion rates.

Process Automation: AI can streamline workflows by automating repetitive tasks, allowing employees to focus on higher-value activities that drive innovation and growth.

Customer Insights: AI-driven analytics can give businesses deep insights into customer behaviour, preferences and sentiment, enabling them to deliver better products and services.

As doctoral graduates embark on their professional journeys, embracing AI as a core component of their business strategy will be essential for staying competitive in today’s fast-paced market environment. By continuously learning about the latest AI technologies and best practices, graduates can position themselves as valuable assets for organisations seeking to transform their business ecosystems.

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