How AI Generative Models Are Transforming Creativity: Real-World Case Studies In Art, Music And Writing

For sure, her marketing teams get reassurance and new ideas for SEO best practices through generative AI, but that doesn’t always mean the content will rank well. Given the right information, generative AI can improve processes and help build content—even generate revenue by giving users the ability to more effectively identify, reach and engage with prospects. Newell joins a list of other marketers betting on generative AI to boost content marketing, including others who are leveraging Adobe’s AI services this year.

AIVA Technologies, a Luxembourg-based startup, developed an AI composer named AIVA (Artificial Intelligence Virtual Artist). In 2016, AIVA became the world’s first virtual composer recognized by a music rights organization (SACEM). AIVA composes original classical music that has been used in films, advertising and games.

Data As Power For Marketers, AI As The Accelerator

While surveys frequently find that many workers worry that AI will replace them, technologists say AI agents won’t replace people but assume responsibility for mundane tasks. John Kucera, the senior vice president of product management at Salesforce, recommended that businesses be transparent about what work AI agents can handle and what will remain with workers. He added that businesses should be clear about what an AI agent actually is, saying that not all agentic systems are equal.

The potential of pairing great data with AI

There are many parts of the business world where AI is going to have a huge impact, but sales and marketing is one of the big ones. Never have we seen a technology emerge with this much executive support, clearly defined business outcomes, and rapid adoption. Elisandra Singh, director, digital strategy at AIG Retirement Services, shared some real challenges of implementing AI in her marketing operations for her organization. Flores also discussed a balancing act between producing a high quantity of content and ensuring it meets quality standards that genuinely serve customer needs. When content truly meets customer needs and is perceived as being written by a real human, it tends to rank better, she said.

Managing The Human Implications of Digital Transformation

There’s tremendous potential for what this can do in the way we work and how productive we are. If we can move AI from an opaque black box to a transparent glass cube, we can recalibrate how we adopt the technology. A strong argument can be made that every AI foundational model must have a FICO score. Communication channels are chosen based on the preferences of each demographic, recognizing, for example, that younger audiences may prefer text messages or app notifications. And despite generative AI having the capability to produce a large volume of content, Flores noted the need to diversify content strategies. We give you the inside scoop on what companies are doing with generative AI, from regulatory shifts to practical deployments, so you can share insights for maximum ROI.

“These agents can collaborate with each other and really start to deliver on the promise of work happening autonomously.” Humans mostly remain in the loop for now, but vendors anticipate this technology will become fully autonomous. Multiagent systems, where two or more AI agents collaborate to complete work, will proliferate.

Business Insider tells the innovative stories you want to know

• In cybersecurity, human errors tend to occur later in the day, when workers are tired after a long shift.
• Companies need to establish robust policies and controls to detect and address biased outputs in line with company policies and relevant legal requirements.
• This past spring, BCG surveyed more than 200 chief marketing officers across North America, Europe and Asia on their use of GenAI.
• Combining hyper-local optimization with AI insights unlocks both visibility and relevance for your practice.
• Agentic AI models will perform comprehensive deep research across multiple data sources to answer patient queries in one step.

It’s not enough to produce a stunning ad; marketers must make sure to capture the attention of their intended audience and keep its interest. An October 2024 Statista survey of consumers found that 64% of respondents said they preferred buying from companies that tailored their brand experience to their wants and needs. However, the key to making this happen is using the right data and remembering that data itself is useless until it’s used. AI platforms like ChatGPT, Gemini and Perplexity are accelerating content creation, patient engagement and data-driven insights for medical practices. Caila Schwartz, the director of consumer insights at Salesforce, told the outlet, “Digital retailers who are using generative AI and agents in their customer service experiences saw a nine percent higher conversion rate compared to those who are not.”

• By responsibly harnessing the power of AI to interpret complex datasets, marketers can deliver tailored experiences that resonate deeply and more efficiently.
• They’ll be armed with powerful insights while saving time, avoiding stress and eliminating needless busy work.
• A strong argument can be made that every AI foundational model must have a FICO score.
• Newell, the parent of more than 50 consumer brands, is looking to create five times more content while improving marketing efficiency and effectiveness.

A mere 37% of customers trust AI’s outputs to be as accurate as those of an employee. Brands are turning to generative AI to boost efficiency while improving customer engagement. Customers — wary of the technology risks — demand a thoughtful approach built on trust. Eighty percent of customers say it’s important for humans to validate AI’s outputs. Oracle’s announcements today weren’t limited to generative AI, as the company also unveiled a new Fusion Data Intelligence Platform within Oracle Fusion Cloud. According to SOCi CMO Monica Ho, most marketers get trapped in FOMO — fear of missing out.

Given the high volume of unique users an ad can reach, marketers need to use a lot of targeting to break through to their intended audience. Effective AI+Local SEO strategies require vigilance around privacy, oversight and evolving search metrics. Combining hyper-local optimization with AI insights unlocks both visibility and relevance for your practice. Nearly 75% of patients turn to online reviews first when selecting a new physician, highlighting how visibility and reputation go hand in hand.

Emerging Role of Generative AI in Marketing

By analyzing patient trends through AI referral analytics, practices can better understand what local audiences seek. Combining these insights with local SEO allows providers to deliver more targeted content and improve visibility in location-based searches, helping attract and retain more patients. AI tools analyze patient behavior, survey feedback and website interactions to surface actionable insights.

Of course, another thing that HR functions will be grappling with is the impact of generative AI on the wider workforce. This isn’t just about supporting the workforce through job augmentation and job displacement – important as that is – it’s also about equipping people with the skills needed to thrive in the generative AI era. HR teams will need to guide business leaders accordingly, striking a balance between the efficiency boosts that generative AI can provide and the human qualities that will still be essential for businesses. For instance, we can expect that human qualities and abilities like strategic thinking, complex problem solving, creativity, and emotional intelligence will be more in demand in the future. The evolution of gen AI will also likely reshape customer interactions and the overall customer experience. For instance, customer-facing applications such as chatbots and virtual assistants will become more sophisticated and capable of holding human-like conversations that enhance customer satisfaction, traffic, and brand loyalty.