Chris Wiggett, Head of Data and Analytics at Dimension Data.
OpenAI was founded in 2015 and DeepMind was founded in 2010. Both companies have a particular focus on the potential and capabilities of artificial intelligence (AI), which has generated significant media and consumer interest. OpenAI has partnered with Microsoft, who invested billions in this partnership and his long-awaited AI-powered Bing release. DeepMind, on the other hand, is associated with Google because the tech giant bought the company for his $500 million-plus in 2014. Both of these companies are among those investing heavily in the potential of AI, so it’s important that organizations start asking questions. AI – What does AI mean for business, how can it be applied to business, and what are the challenges in implementing it.
The world is about to change dramatically with the emergence of AI that can think, act, and reason for itself. While many pundits, papers, and headlines talk about how this shift in AI capabilities is the most important human advancement in the last 100 years, it’s important not to get caught up in the drama of the moment.
AI will impact your business, but it is also a tool with complexities and challenges. AI machines are data hungry and expensive. Consider that Microsoft spent millions on supercomputers connecting tens of thousands of his Nvidia A100 chips and server racks to create the backbone of his ChatGPT. But it’s still not 100% reliable. There is also the risk that the investment outcome is not always clear from the outset, making the technology expensive and untested for ROI. To understand the value of AI, organizations must implement it quickly, test it faster, and see measurable results.
Another challenge with current AI products is to give everyone the same answer, despite their impressive capabilities and repertoire. Competitive advantage isn’t AI, it’s not whether everyone using the same system gets the same results.
But what if AI could be rapidly implemented while incorporating new metrics and algorithms that could fully exploit the potential of innovative AI solutions? It offers an entirely different perspective and can get to the point where it provides both immediate competitive advantage and value. Organizations need a solution that bundles all these benefits together while reducing latency and streamlining implementation.
This solution helps organizations manage revenue and transform the AI narrative from threat to enabler. If AI is given the space and tools it needs to power your business and enable your teams to perform highly complex tasks in a fraction of the time and with far fewer errors, then you can leverage AI to unlock potential can improve customer service. Businesses are looking for AI that delivers unique insights to their business through relevant, fast-to-market, and accessible algorithms and approaches.
Ultimately, the arrival of ChatGPT and the legions of people now following in its footsteps has awakened the market to what AI can do and what its potential can help. Now is the time for innovation from within the business to take the lead, leveraging AI technologies that create real value and deliver unique IP. South Africa also has solutions like Dimension Data’s Delta that are designed with the business in mind, have multiple applications across different scenarios, and deploy algorithms within the business that do not consume bandwidth or compute. To do. Built with real-world applications in mind, it’s another rung on the AI ladder that enables businesses to transition to AI gear and take advantage of the benefits AI has to offer.
