- “The biggest challenge implementing artificial intelligence is moving from concept to scale. A new report from Deloitte finds that in consumer-related businesses, the challenge is especially difficult because many have large legacy data and analytics platforms, and decentralized data and analytics operations.
- In the past, marketing systems could only make decisions based on a fixed set of assumptions and narrowly defined inputs and outputs,” according to the report. Although such systems can provide useful insights on a macro level, they are often difficult to scale and largely lack the ability to look at audience specifics, the report said. ‘However, thanks to AI, marketers now have the opportunity to analyze consumer mannerisms on a much more detailed level,’ the report said.”
“No-code AI in finance: The financial sector is data-driven. Every decision, from deciding on the target market to creating the right products for the market to customer service comes down to data. In the financial sector, no-code AI tools can be introduced to fulfill a variety of purposes, for example, reducing the risk of bad credit for lenders, choosing where to open or close a bank branch, automating online onboarding forms and much more. All this goes toward making the business not only more effective but cost-effective, too.
No-code AI in marketing: While the marketing world is highly creative, it’s vital that creativity connects with the intended audience. No-code AI modules can be introduced in the marketing sector to target and align marketing campaigns to customer demand more closely. For example, this may involve closely tailoring a Facebook ad to ensure that it finds the potential customer who needs and wants to see it while avoiding inundating those who do not. No-code AI in marketing can better inform current and potential clients about solutions they want and need.”
- “It almost seems counterintuitive: Automation is required to do more ‘human-focused’ marketing? In a word, yes.
- The reality is that empathy happens when brands tap into an individual customer’s wants and motivations continually, connecting with them on a deeper level than just a one-off exchange.
- Brands learned they need to see the world from their customer’s eyes and treat every action as part of a growing relationship, not a series of transactional exchanges.”
- “According to IDC, the global AI market is poised to break the $500 billion mark by 2024.
- Louis Vuitton uses facial recognition within the Baidu ecommerce platform to match consumers with fragrances.
- Discount supermarket chain, Lidl, uses NLP in its conversational chatbot Margot on Facebook Messenger. Margot helps shoppers get the best out of its wine selection.
- 1-800 Flowers has an AI-powered concierge named Gwyn (Gifts When You Need). Gwyn can successfully reply to customer questions, help customers find the best gifts and assist them through the entire shopping experience for individually tailored offers.”
- “Adverity, a data analytics startup targeting applications in media, marketing, and ecommerce, today announced that it raised $30 million in equity financing, bringing its total raised to $50 million.
- By accelerating R&D and growth within Adverity’s offices domestic and abroad, the fresh capital could help the company’s customers — among them Ikea, Red Bull, Unilever, MediaCom, and IPG Mediabrands — address the challenges AI and machine learning present
- According to Algorithmia, 50% of companies spend between 8 and 90 days deploying a single AI model, with 18% taking longer than 90 days.”