Companies that overuse AI will find themselves at a disadvantage when developing marketing strategies and programs in 2024, says Robotic Marketer founder.
“AI is a productivity tool. It is a tool for doing a quick analysis. Without using AI tools that integrate with your technology stack, this is a one-size-fits-all solution and should not be relied upon: » Melissa Smith
ATLANTA, GEORGIA, UNITED STATES, December 26, 2023 /EINPresswire.com/: As the business world stands on the precipice of 2024, marketing expert Mellissah Smith predicts a seismic shift in the competitive landscape due to the overuse and misuse of generic drugs. AI in marketing.
The pivotal new year, marked by the emergence of a significant competitive divide driven by a one-size-fits-all approach offered by many AI platforms, heralds a call to action for businesses around the world that are driven by overuse of AI for commercial purposes. content and strategy without data analysis and bespoke benchmarking.
“In the race to adopt AI, the market is inadvertently moving into a divide that will separate the leaders from the laggards,” says Mellissah Smith, founder of Robotic Marketer, a world-first AI-based solution. marketing strategy technological platform. “2024 will see the dawn of an AI divide, where companies that recognize and act on the need for personalized, data-driven AI strategies will gain a distinct competitive advantage. Those who continue down the path of generic AI solutions will find themselves overtaken and outmaneuvered by companies that use their available data and content personalization to connect with their customers. This isn’t just a minor change; This is a critical moment that will have a significant impact on the competitive landscape in 2024 and beyond.
Mellissah Smith, drawing on her three decades of marketing experience, says: “2024 is not just another year; It’s been 12 months since Open AI’s ChatGPT changed the way ordinary people think about AI and only 6 months since many businesses realized they can’t afford not to jump on the AI bandwagon . However, the overuse of generic AI has reached its peak, and this is largely due to people not knowing how AI is developed and how it will best meet their business needs. AI is now intertwined with the unique narrative fabric of each business. It is therefore time to create a certain maturity in its use.
Smith addresses the critical gap in current AI applications: “The market is flooded with tools that offer a one-dimensional view, leading to broad and bland strategies. Our commitment at Robotic Marketer is to transcend this norm, and as a company that has been in the market since 2017, we have been able to create the machine learning maze. We are introducing AI that not only analyzes but understands, interprets and develops strategies with a level of precision and personalization previously unimaginable.
The innovation of robotic marketers sets a new precedent in the marketing and consulting industries. “We’re not just creating another marketing tool; we create an AI platform that becomes the heart of your marketing strategy. It’s about developing a dynamic and intuitive understanding of your business objectives, market nuances and customer dynamics,” says Smith.
As businesses prepare to face the complexities of 2024, Smith highlights the imperative for a strategic renaissance. “The future is not about broad outlines but about the details and depth that create relevance. »
“The economy will dictate how many businesses navigate 2024, forcing businesses hardest hit by a downturn to automate their tasks where possible. It is possible to scale up marketing efforts with AI, especially if you have the right marketing strategy, but it must be accompanied by personalization.
Follow: IOC LinkedIn account News | News from the CIO Facebook | CIO News Youtube | CIO Twitter News
About Us:
CIO News, a Mercadeo property, produces award-winning content and resources for IT leaders across industries, through print articles and recorded video interviews on technology industry topics such as digital transformation, artificial intelligence (AI), machine learning (ML). , Cloud, Robotics, Cybersecurity, Data, Analytics, SOC, SASE, among other technology topics.