As a business you can be on both sides of data privacy. You might be the party whose data is being mishandled or you might be the party not handling user data as it should. The latter involves all types of risks that could deeply affect you as a business. How do you tackle both?
Real-world examples showcase how organizations leverage visual analytics to achieve remarkable results in restoring profitability, optimizing marketing strategies, and enhancing data literacy.
Explore practical applications of AI in marketing, sales, and finance, from lead scoring to predictive late payment identification
Revolutionize customer experiences with virtual try-on in retail, detailed product design in manufacturing, and interactive advertising campaigns.
Personalization is key to improving customer loyalty and lifetime value. AI analyzes vast customer data to provide tailored recommendations and proactive engagement.
Although there are some benefits to outsourcing your data services, it is vital to take a step back and analyze why you may still prefer to handle your data services internally despite these benefits.
Generative AI can level the playing field for small firms in marketing. It allows content generation and optimization, freeing resources for other critical tasks and ensuring a consistent balance of AI and human intelligence.
Machine learning offers optimization benefits in data management, automating tasks like table joining, data distribution, and query optimization. This improves processing speed, reduces costs, and enhances performance.
Understanding the ‘why’ of Data and AI strategy is essential, as it aligns corporate goals and provides direction. AI strategy gives meaning and purpose to AI projects, ensuring alignment with business objectives
To succeed in today’s business environment, companies must collect, analyze, and utilize data efficiently. Data reshapes corporate operations, enabling new revenue streams, and data analytics becomes central to every company’s business model