Using AI and adverse media to get the competitive edge
What if your competitors could predict your next move even before you could? It may sound impossible, but with faster machine learning (ML) and smarter artificial intelligence (AI) analyzing big data, anything is possible. There are currently approximately 4.57 billion internet users worldwide. Anything that anyone says about your brand, positive or negative is recorded and can be analyzed, interpreted, and scored, putting your business reputation and success at risk.
Adverse media, or negative news, has long been used in the financial sector as a risk management tool to identify potential criminal behavior during onboarding and periodic reviews of customers. But big data scientists like, Mark Germishuys, CEO of NGA, (Ngidi Germishuys and Associates) are revolutionizing its use to offer strategic business intelligence to customers who are looking for a competitive edge.
He offers the following advice:
1: Incorporate AI and ML into your business strategy
AI and ML are essential to extracting and analyzing big data. It’s not only easier but, it’s also a lot faster. A business utilizing this technology can access anything from – competitor announcements encompassing revenues, fraud, operational issues, opportunities, new product launches, legal, own-brand health, regulatory, and positioning changes. This can be done in a matter of minutes and downloaded with one click.
2: AI creates new predictive capabilities
AI data can be scrutinized to find out anything from – who is talking about your business and where associated content originates from, through link analysis and geo-mapping analytics. This can help to find new markets to enter or increase presence, predict and analyze competitors’ actions, improve product development, reduce reputational risk, and beat competitors to market. It can also improve and personalize consumer interaction, give consumers what they want and increase market share. It makes finding new products and tech that will disrupt the competitive landscape easier, identify legislative or political issues or stand out from the crowd with a distinct corporate identity and tone of voice.
3: Competitive intelligence vs industrial espionage?
It’s market research of your competition. The data sources are freely available to the public. It includes anything from financial reports, press releases, blog posts, social media channels, forums, government databases, and public records. Anyone can access the same sources, however, without AI the results are limited and lack accuracy.
4: The power lies in Unstructured data
Almost every business today, collects and stores data. Unstructured data is an untapped resource, a gold mine of information one can use to gain an edge on the competition. As much as 80% of all data stored is unstructured and without business intelligence, it can’t be efficiently mined, analyzed, interpreted, and scored. This is because unstructured information is typically text-heavy, contains data such as dates, numbers, and facts as well, and can cause irregularities and ambiguities that make it difficult to understand using traditional programs.
5: Ethically trained AI supersedes human intelligence
By utilizing implication detection algorithms and sentiment analysis trained on real human behavior one is able to leverage opportunities faster. Ethical AI and ML make the process more efficient and due to very little human interaction, it’s far more accurate and unbiased. It can radically reduce reputation risk and improve the transparency of organizations by responding or identifying risks earlier.
6: AI is getting smarter by the minute
The more advanced Ethical AI becomes the more precise the results will be. AI can be trained to block out any text that is false and can skew the results, like paid-for media or repetitive content.