It’s well-trodden ground by now, but generative AI is really one of the business world’s most important technologies. Like it or not, it will soon become integral to everyday business operations. Those who learn how to use it effectively will flourish, and those who don’t will fall by the wayside.
As highlighted by IBM’s The CEO’s Guide to Generative AI highlights, CEOs face serious pressure to integrate the technology into their organization. With AI investment set to quadruple in the next few years, business leaders must learn to embrace the technology or suffer the consequences.
Why GenAI Matters for CEOs
The business world is no stranger to fads. AI, however, isn’t one. GenAI tools have the potential to shift how businesses operate, enhancing customer interactions, automating mundane tasks, streamlining workflows, and more. However, despite being over two years old from the beginning of the genAI boom, according to IBM, 60% of organizations lack a structured AI strategy.
Businesses’ ability to develop a structured AI strategy will separate the wheat from the chaff. Again, those that do will flourish, and those that don’t won’t. And, as it stands, it looks like most won’t. It’s crucial to understand that AI adoption is not just about onboarding a new technology but transforming how a business operates.
Balancing Innovation and Risk
AI comes with significant risk – perhaps more than similar technologies. AI is still a technology in its infancy and extraordinarily powerful. Like an extraordinarily strong toddler, it’s pretty difficult to predict what AI can do and when it will do it. Some of those risks include:
Data Privacy & Security: Handling vast amounts of sensitive data responsibly.
Legal & Ethical Concerns: Navigating AI-generated content accuracy and bias.
Cost vs. ROI: Ensuring AI investments align with business objectives.
Governance & Accountability: Establishing oversight mechanisms to monitor AI use.
We might be at risk of overstating the point here, but again, mitigating these risks relies on developing a structured AI strategy. This strategy should involve proper governance, transparent AI models, and continuous monitoring of AI-driven outcomes.
Building a Sustainable AI Strategy
So, how can CEOs build a sustainable, structured AI strategy? This is a complex problem, but in broad strokes, it should involve the following steps:
Define a Clear Vision: This is the most crucial step in developing an AI strategy. Before you spend any money or take any action, you need to decide what you want to achieve. Everything else hinges on this decision. Remember, though, that your AI objectives need to align with your wider business goals.
Foster Cross-Functional Collaboration: AI is one of those rare technologies that impacts every single aspect of a business. That means you need to involve every single department in your plans. Create cross-functional teams when developing your strategy.
Invest in AI Talent and Upskilling: All of AI’s capabilities are basically worthless if your staff doesn’t know how to use them. Skilled AI professionals are relatively hard to come by, so focus on upskilling your existing staff, developing AI literacy, and, when possible, hiring specialists to bridge the skills gap.
Implement Responsible AI Practices: We’ve already touched on this, but AI can be a dangerous technology if used irresponsibly. You must establish governance frameworks to ensure AI models are transparent, unbiased, and aligned with all legal requirements (like the EU AI Act). This will also involve setting ethics boards and conducting regular audits.
Start Small, Scale Fast: This is a big one. While it's important to implement AI, it’s equally important not to do too much too soon; this is where mistakes are made, and risks turn into disasters. Rather than attempting large-scale AI transformations, start with small pilot projects, measure outcomes, and expand as you experience success.
That said, the above is a simple explanation of a highly complex problem. However, you’re in luck: IBM provides 22 chapters detailing how to use AI effectively.Explaining everything from talent and skills to customer service, to supply chain, to sustainability, to risk management and everything in between, IBM has you covered.
How Fortra Can Help
However, from a cybersecurity perspective, Fortra has you covered. Fortra’s unified cybersecurity platform picks up on telemetry from many different threat vectors and translates it into a single data model. It correlates every threat or indicator of compromise using AI and helps mitigate them by providing relevant information to your security team as and when they need it.
Ultimately, Fortra protects your organization – and your in-house AI models – from even the most advanced threats. Want to find out more? Download the datasheet here. Want to learn more about what Fortra’s suite of security solutions can do for your organization? Contact us today.
