The tide is turning on consumers’ brand-purpose demands—taking political and societal stances, which was stressed as a key strategic positioning tactic for brands as recently as a year ago, has fallen out of favor with most Americans as the presidential election...

New research affirms the need for AI regulation in the US—but also reveals a notable lack of trust in the U.S. Government’s approach to AI regulation
AI needs oversight—almost all tech and data execs have said as much—and new research from data intelligence firm Collibra affirms this, finding that virtually all respondents (99 percent) cite threats necessitating AI regulation in the US. However, the survey data...
The chatbot’s Achilles’ heel: More than half of US businesses use AI in customer service, but the biggest obstacle remains the same—winning consumer trust
Trust has been generative AI’s most formidable foe since the wunderkind tech first became a business tool. Consumers just can’t seem to cross that bridge when it comes to customer service, even with the businesses they’ve known and trusted for years. Chatbots got off...
Hey brands, consumers don’t care about your political opinions anymore, so keep them to yourself—especially during the current election season
It wasn’t long ago when consumers wanted to know everything about brands—the purpose mandate that became a huge purchase influencer years ago demanded that brands share their views on societal matters and actively take a stand, even on highly divisive issues like...
New research shows the power creators and influencers will have this holiday season—and what creator-inspired consumers will be buying
The explosive growth of the Creator Economy, particularly over the last couple of years, is a clear signal that consumers want more avenues of professional content than just media and marketing—and with leading creators having a big influence on consumer behavior,...
The privacy-personalization conflict in AI-driven CX: Can brands have both highly targeted personalization and ultra-secure consumer data?
What a dilemma we have. Consumers want personalized messaging from brands, and they expect their data to remain secure and protected. But these two expectations have brought businesses to a conflicting crossroads of mutual exclusivity—the more personalized and...
Deepfake threats are disrupting security protocol: AI cyberattacks prompt three-quarters of US companies to develop deepfake response plans
From widespread misinformation and security threats to identity fraud and fake voice clones, cyber threats have increased exponentially in the age of AI-generated deepfakes, and companies are scrambling to develop response plans to address these threats, now that once...
Generative AI challenges in the enterprise: Lack of governance, infrastructure readiness, data management, security shortfalls and IT talent lead the list
Despite growing interest and enthusiasm for Generative AI in the enterprise, significant challenges are emerging that threaten the success of GenAI projects, and according to tech-focused consultancy Enterprise Strategy Group (ESG) and data storage and cloud...
2024 holiday-season preview: Retail marketers cite problems that need repair now, such as third-party data limitations and siloed misalignment
Smart retail marketers and communicators are already thinking ahead to the 2024 holiday-shopping season and preparation—and already realizing that a bevy of challenges await. New research from predictive analytics firm First Insight reveals that retailers are...
Retail’s AI-maturity perception vs. reality gap: Most execs are overconfident that their brands are near or fully mature—igniting responsible use concerns
AI implementation and reckless use are by no means strangers—there have been substantial and reasonable concerns about risky and uninformed deployment since generative AI first made its grand appearance. And now, 18 months later, there’s not a whole lot of evidence...
2024 state of Generative AI data: Moving beyond automation to more sophisticated use cases—which industries lead, and which lag?
As we prepare to move to the next level of Generative AI, new research from cloud data engineering consultancy Hakkoda shows that 50 percent of organizations are already using Gen AI for automation, but sophisticated use cases like AI copilots, ETL/ELT, and schema...
With oversight around the corner, US leaders speak out on AI’s impact on business, job displacement and impending regulation sentiments
AI has revolutionized the business world, but it’s important to keep in mind that as robust as AI capabilities have become, the technology is still very much in its infancy. And at about the 18-month mark since generative AI began to be widely used, we’re at the stage...