AI, complex but beneficial
Many business leaders are enthusiastic about artificial intelligence, but investing in technology can be enchanted, baffling, and baffling. You don’t have to do it this way. We gathered people who work closely with AI solutions to share their experiences with AI 00 on the best approaches to selling the right AI at the right time to business leaders.
Bjorn Austraat, Senior Vice President and Head of AI Acceleration at Truist, advises that “showing ‘cognitive courtesy’ is paramount. “Invest time and effort upfront to translate difficult technical concepts into plain English. Similarly, create a compelling, well-framed vision for all project participants. to ensure alignment and productive collaboration.”
Austraat explains that he uses “simple phrases” to advance his AI vision. “‘How can we know how much better someone’s life is going to be?'” he says. “If you can truly answer that question, you’ve covered all the bases, from framing to deployment to value proposition to political aircover.”
This clear vision is strongly endorsed by other industry leaders. “The key to selling AI is a clear and simple business case,” said Ben Hookway, CEO of Relative Insight. All this qualitative text data can and should have strategic impact on brand strategy, product development, customer care, marketing, communications, etc. Much of this data is real-time and , is very helpful in understanding exactly how our customers are feeling.”
In Austraat’s industry, financial services, “explainability trumps model performance,” he adds. “Banks and other financial services institutions, particularly in sensitive areas such as credit underwriting, have a desire to innovate and use state-of-the-art AI and a reasonable regulatory commitment to explainability, robustness and fairness. Expectations have to be balanced: the hottest solution doesn’t always win, especially when there are too many black boxes.”
It’s also important to impress business leaders that successful AI can lead their business in new and potentially positive directions. EPIC iO CEO Ken Mills said: “If you are looking to sell a sensor or video camera to an enterprise, my advice is to team up with a consultant or solution provider who can provide a complete solution to your business problem.”
AI is all about making processes easier,” said Uniphore co-founder and CEO Umesh Sachdev. “Whether it’s solving customer problems, eliminating manual work, or making more accurate predictions, AI can complement human efforts, enabling them to work, interact, and innovate more effectively. increase.”
Robb Wilson, founder of OneReach, said the rise of a wide range of AI solutions, such as conversational AI, “will fundamentally change the world by giving customers and employees access to advanced problem-solving capabilities.” I know,” he wrote. .ai in his latest book, Age of Invisible Machines. Business leaders need to understand that AI cannot succeed as a disconnected, one-off project over the long term. Mixing different technologies, such as deploying disparate machines, can overwhelm employees and customers, leading to low adoption rates. It can bring about a whole new paradigm of sexuality.”
Ultimately, the possibilities are enormous and can leave even the most AI-savvy individual in awe. Peter Gordon, Global Head of His AI Products at Hogarth Worldwide, said: But when you type in the weirdest sentence you can think of, like “The Times a teddy bear on a skateboard in the middle of his square,” you’ll see the AI instantly generate a photo-perfect, photo-realistic image of your idea. Nothing beats seeing. Or, with his impressive insight, talking to Steve Jobs’ chatbot feels like a personal conversation. And there is much more to come. ”
Overcoming executive fears about AI is also key to successfully selling the technology. People’s first reaction to AI is “probably a kind of magical fear,” Gordon says. Business he leaders understand that AI technology will “empower them to do what they do best, greatly enhancing the ideation process to create never-before-seen brand ideas.” It is important to
Where and how to start? Keep it clear and simple, Wilson advises. “The easiest way to start is often to automate it internally first. Start small by automating individual tasks and skills rather than entire jobs. , test and iterate faster.The faster you test and iterate, the faster you can deploy internal solutions.Use that momentum to develop, test, iterate, find new skills to deliver, and improve that solution. Keep testing and iterating, often fumbling as your legs grow, but that’s part of the process.”
AI thrives when it addresses salient business problems or creates new opportunities. “Companies are looking at AI because there is a need,” he says. “Some processes are straining resources or hurting customer relationships, and we want to fix them in the easiest and most cost-effective way possible. Look for points of friction. Which areas are slowing things down or overburdening customers or employees? What results does the business want to improve, and what is preventing them from achieving them? Is it?”
For example, points of friction that can be addressed by AI are associated with the customer experience. “If a customer is struggling on the front end, perhaps his AI can guide them by curating relevant content based on their past purchase and search history,” he says. says Mr. “If customer support is an issue, there are many possibilities to explore. AI can identify customer intent, improve self-service interactions, and even assist agents during live interactions. We can audit conversations and analyze conversations for quality assurance, all of which saves human workers time and effort.”