AI Is Changing How Businesses React to Information Faster Than Ever
If you’re waiting for the news, you’re already late.
By Heather Wilde Renze
It used to be that you had to wait for the morning newspaper or an evening TV broadcast to get the news. An event had to be especially noteworthy to be pushed out as a “breaking” piece that would get communicated shortly after it occurred.
Now more than ever, the world runs on instant information — and not just for headline-grabbing events. AI is rapidly reshaping how businesses obtain and react to the breaking news that can directly impact their bottom lines, even when that information wouldn’t be considered newsworthy to others.
Even as traditional reporting mechanisms like newspapers have declined, AI has made it easier than ever for businesses to make the most of breaking information.
Enabling smarter information gathering
Unsurprisingly, the first advantage of AI is its ability to enable faster and smarter information gathering. Gathering information from a range of sources has historically been time-consuming and expensive. Not only did this process require manual outreach and research, but human analysis meant it could take months before a business uncovered meaningful insights.
Now, AI agents can scan both external and internal information sources to quickly identify news, trends, and metrics that could impact the business.
According to Yasin Dus, co-founder of Synoptic, AI tools can bring together multiple specialized sources of information to provide alerts before they even hit mainstream reporting.
He argues that the technology is increasingly making it so that those who are the first to discover information have the greatest advantage — even if they only get a head start of a few minutes.
This can be especially valuable in areas like cybersecurity. Because AI analyzes huge datasets in real-time, it is uniquely positioned to identify threats and anomalous behavior as they occur.
Rather than letting an issue go undetected for an extended period, and letting bad actors cause even more damage, the right applications can enable an immediate response.
Sparking a shift from reactive to proactive
By enabling smarter information gathering, AI is allowing many businesses to shift from a reactive or defensive posture to something far more proactive. Businesses don’t have to wait and react to major issues like a supply chain disruption.
Instead, AI can provide instant alerts as soon as a potential problem is detected. In many cases, AI tools can also be used to provide predictive analysis, such as reporting on how a global trend could impact future operations.
By allowing companies to anticipate and adapt to market changes before they even take place, businesses can avoid financially damaging disruptions.
These predictive, proactive responses aren’t just limited to emergencies. For example, Netflix’s machine learning algorithms have been critical in its ability to understand viewer behavior.
These algorithms have allowed the streaming giant to deliver personalized recommendations and optimize its content and investment decisions based on what it has learned from its AI-driven data. Similarly, using AI to anticipate events, trends, and outcomes makes it easier for all types of businesses to adjust their strategy with confidence.
Enabling faster, more targeted responses
As noted earlier, AI can help businesses respond faster by ensuring they get information quickly. But AI also goes a long way in helping businesses react quickly and appropriately.
AI is increasingly being used as a co-pilot in decision-making. AI offers strategic guidance and executes complex workflows in everything from financial analysis to IT troubleshooting. Its targeted insights can augment human decision-making with access to better data. When AI provides instant communication with clear, data-backed insights, it helps leaders move quickly to decide on their next course of action.
In some cases, AI is even able to automatically handle certain responses entirely on its own when given appropriate guardrails. For example, an AI assistant can be trained to re-route shipments and adjust logistics operations within set budget and delivery guidelines if a major disruption occurs with a business’s primary partner.
This can help address the age-old dilemma of deciding between speed and quality when performing a task or carrying out a major business decision. When AI delivers accurate information and predictive insights in a timely manner, the response can deliver both speed and quality.
The smarter approach to information
The events that can have the biggest impact on a business aren’t always going to make the news, but that doesn’t mean they’re not important. By using AI to detect anomalies, receive instant information updates and provide predictive decision-making support, businesses can become more proactive in their approach to using data. With timely, more accurate insights, leaders can gain a real competitive advantage by reacting quickly and getting it right.