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Advanced Analytics, AI Essential In Today’s Business, Says Data Addict CEO

by Elizabeth Akinyemi
9 months ago
in News
AI
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The CEO of Data Addict, John David, has highlighted the critical role of advanced analytics and artificial intelligence (AI) in shaping the modern business landscape.

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In an interview, he said the technologies have been game-changers in transforming raw data into strategic assets.

According to him, the application of artificial intelligence (AI) is evident in various industries and advanced analytics isn’t left out and has become critical in transforming raw data into actionable insights, contributing to how businesses operate and make decisions.

“We’re seeing a seismic shift in how businesses approach data. Advanced analytics and AI allow us to sift through vast amounts of information, identify patterns, and derive insights that would be impossible to uncover manually.”

“Advanced analytics enables us to dig deeper into data sets, going beyond basic metrics to uncover trends and correlations that drive decision-making. Meanwhile, with its ability to learn and adapt, AI brings a level of precision and predictive power that is revolutionizing how we operate.”

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“For data addicts, these technologies have been instrumental in driving growth. “By leveraging advanced analytics and AI, we’ve been able to offer our clients more sophisticated and targeted solutions,” David explains.

The seasoned Data and Analytics professional with over a decade of experience in data strategy, IT consulting, and developing scalable data applications also said that interpretation and visualization of data is another key role that AI plays in advanced data analytics due to the availability of numerous data visualization and interpretation tools which is key, especially to non-tech stakeholders.

“Presenting this data in more accessible and interpretable insights also plays a key role in automating decision-making. This vital role in our rapidly evolving market space helps businesses stay on track by allowing real-time responses and interpretation when new data surfaces, improving efficiency. It also contributes to enhanced risk management, which is crucial in every industry.

“The implications of AI in advanced data analytics have impacted our industry and organisation’s growth by applying these methods in our day-to-day operations to provide data-driven solutions. Successfully integrating these technologies into our data solutions positions us ahead of the market and guarantees we provide only the best solutions for our clients,” he added.

 


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