The new technological revolution is already underway, and its impact on work modalities is evident. AI has transformed the labor paradigm, and organizations understand that the new world is based on business decisions backed by precise data and predictive analytics. This is the reality that artificial intelligence is driving within organizations: it’s not just a tool, but a strategic partner that redefines the corporate landscape.
In today’s digital era, we can define AI as a catalyst for organizational transformation. Companies are adopting generative assistants to optimize operations, enhance decision-making, and offer personalized experiences.
With this horizon, it’s vital for leaders and decision-makers to understand and act to integrate AI into their strategies to stay competitive. To gauge the impact, consulting firm McKinsey estimates that generative AI could automate up to 70% of business activities by 2030, adding trillions of dollars in value to the global economy.
In this article, we’ll explain why AI is a fundamental ally and why it’s essential to analyze and redefine current processes.
Task Automation: A New Reality
Task automation through artificial intelligence is making waves. It’s not just about eliminating repetitive tasks; AI is enabling organizations to uncover hidden opportunities and transform their operations comprehensively.
“At AW, AI allows us not only to optimize processes but also to reinvent our business strategy,” says Rodrigo Fernandes, Business Development Manager at the global technology organization. He adds, “We’re using AI to anticipate market trends, personalize customer experiences, and develop innovative products that were previously unimaginable.”
Today, the real magic of AI lies in its ability to free up human talent, allowing employees to focus on creativity and innovation. This way, operational efficiency grows, and team morale and engagement are boosted, creating a more challenging work environment.
Advanced Analytics for Better Decision-Making
Advanced data analytics provide valuable insights that were previously unattainable. Predictive analytics and machine learning tools allow for the identification of patterns and trends, facilitating more informed and precise decision-making.
According to IBM Consulting, companies that implement advanced data strategies can accelerate data delivery times by up to 60 times and improve productivity by 430%.
To understand this impact, tech giants and leading companies are driving innovation in data analytics. Microsoft announced a 5-year agreement with Coca-Cola to use advanced data analytics and generative AI, improving operational efficiency and customer experience by identifying consumption patterns and optimizing processes.
Another notable case is the collaboration between Amazon and Volkswagen to develop the Volkswagen Industrial Cloud. This platform combines data from all machines, plants, and systems at Volkswagen facilities, using Internet of Things (IoT) services and advanced analytics provided by Amazon Web Services (AWS).
Redefining Processes: A Proactive and Ethical Approach
To fully leverage AI’s capabilities, it’s crucial for organizations to review and redefine their current processes. This involves a thorough analysis of existing operations to identify areas that can benefit from automation and artificial intelligence. By doing so, companies can design more agile and adaptive processes that better respond to market demands and customer expectations.
AI adoption must be ethical and transparent. This includes creating explainable AI models, managing biases, and conducting regular audits to ensure compliance with regulations and data security.
Thus, integrating AI will not only optimize processes but also enhance the overall performance of the organization. By automating tasks and applying advanced analytics, costs can be reduced, productivity increased, and the quality of products and services improved, along with greater flexibility and adaptability in a changing business environment.
Accessible Solutions to Integrate AI into Your Business
There are multiple alternatives to integrate artificial intelligence into business, and it’s crucial to analyze investment capacity before embarking on costly and complex projects. Many organizations rush to develop AI or machine learning models from scratch, which can require significant work and investment.
“Our suggestion is to start by leveraging already available solutions that include ready-to-use AI models. For example, Microsoft’s AI Builder offers tools that allow companies to create and customize AI models without needing advanced programming knowledge,” explains Fernandes.
He also suggests, “Copilot is another great alternative: it allows you to use and customize AI copilots that work in widely used business applications like Office and Dynamics. Additionally, it’s possible to create your own copilots that operate on social networks, websites, phones, and other channels, facilitating a faster and more efficient integration of AI into various business areas.”
In conclusion, AI is redefining the business landscape, offering unprecedented opportunities for innovation and efficiency. However, to fully capitalize on these opportunities, it’s crucial for organizations to analyze and redefine their current processes, adopting a proactive approach to automation and advanced analytics. Only then can they remain competitive and relevant in the AI era.
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