AI: Turning data into gold

In 2006, Clive Humby uttered a phrase that reverberates today: “Data is the new oil.” This simple statement encapsulates what drives the technological revolution we are witnessing: information has become the most valuable raw material of our time. And just as oil shaped the 20th century, data is shaping the 21st century.

With this in mind, artificial intelligence (AI) is fast emerging as the driving force behind transforming masses of raw data into usable information. But what exactly is AI? In simple terms, AI refers to the ability of machines to perform tasks that usually require human intelligence. This multidisciplinary field encompasses a variety of techniques and approaches, including machine learning and deep learning, natural language processing (NLP), robotics, and automation.

The business world is rapidly adopting AI, boosting organizational operations and decision-making. Today, companies of all sizes can extract valuable insights from mass volumes of data, enabling product customization, process optimization, and unprecedented accuracy in market trend forecasting.

The Future Is Here

Traditional industries already use AI to dynamically increase efficiency, reduce operating costs, and launch new products. Indigo Hive, part of the 2Future portfolio, stands out precisely for implementing AI in industries across different sectors to map their markets, identify emerging trends, and change processes to take advantage of AI’s efficiencies.

 For example, Indigo Hive helped Brazilian petrochemical giant Braskem monitor its polymer production cycle with AI-generated predictive algorithms, allowing it to increase productivity. Indigo Hive has also helped doctors cross-reference patient data with studies and research to assist with their diagnosis and treatment. With the help of AI, even books are becoming podcasts[MM1] . And this is just a tiny sample of Indigo Hive’s innovative initiatives.

 As AI continues to evolve, businesses will undoubtedly discover an ever-expanding use for its capabilities, giving rise to more efficient, innovative, and data-driven companies. Some specific ways business operations are currently utilizing AI include:

• Process automation, freeing employees to focus on more strategic and creative activities. This can range from automating back-office processes to optimizing supply chains and logistics.
• Personalization of products and services via machine learning will enable companies to analyze large volumes of data on customer behavior and individual preferences to offer highly personalized recommendations and experiences. This can increase customer satisfaction and boost sales.
• Predictive analytics can identify patterns to predict future trends and market behaviors. This allows companies to anticipate demands, identify growth opportunities, and mitigate potential risks.
• Customer service is already making extensive use of AI. After all, AI systems can interact with customers in a more natural and effective way, answering questions, providing technical support, and even carrying out transactions.
• Fraud detection and cybersecurity programs use AI to analyze suspicious behavior patterns and identify fraudulent activity in real time. This is especially important in industries like financial services and e-commerce.
• Optimize the use of resources, such as energy, raw materials, and labor, to reduce costs and minimize waste.
• Product development and innovation are also among AI’s great attactions. With the help of algorithms, companies can accelerate the product development process by identifying market trends, carrying out simulations and virtual tests, and even generating automated designs.

These are just a few ways AI can add significant value to businesses. As AI technology evolves, new opportunities and innovative applications will emerge across diverse industries and business sectors.

‍