Generative AI Will Change Your Business Heres How to Adapt.

Marketing is crucial for businesses, as it’s how customers learn about a product and connect with it emotionally. Content is key in marketing, but traditional methods of creating content are time-consuming and sometimes a game of luck. Responsible AI needs to be built into every decision made about generative AI. By taking a responsible path right from the start, organizations can provide the best experience for their customers, creating a competitive advantage by building customer trust and brand equity.

• For Marketing and Sales oriented functions, leveraging widely available models could assist in boosting productivity, while for R&D related topics, models may require more training with and using internal data.
• Assess your team’s current AI skills and identify any gaps that need to be filled.
• Moreover, having a human in the loop can help build trust and confidence in the technology among stakeholders and customers.
• Some of the things that one should consider when evaluating AI strategy, first, is the cost versus return on investment.
• Do you have sufficient skillset and data and need to build an application from the ground up, or do you purchase off-the-shelf?

And, it will do so with the same foundation of inclusivity, responsibility, and sustainability at the core of any Salesforce product. Member firms of the KPMG network of independent firms are affiliated with KPMG International. No member firm has any authority to obligate or bind KPMG International or any other member firm vis-à-vis third parties, nor does KPMG International have any such authority to obligate or bind any member firm.

Modernize Your Data StrategyConfidently with AI

Adopting this approach lets organizations seamlessly integrate and manage a wide range of AI solutions, enabling them to select the best tools for their unique needs without being tied to a single vendor. This agility allows businesses to stay current with the fast-paced AI landscape, capitalizing on emerging advancements and innovations. An AI integration platform simplifies incorporating third-party AI tools into new or existing workflows using “Ask AI”, which reduces complexity and fosters efficiency. Consequently, enterprises can leverage diverse AI technologies to ensure interchangeability, drive innovation, enhance processes, and maintain a competitive edge in the market.

Overall, generative AI and LLMs are being applied in a wide range of enterprise applications to solve complex problems and create innovative solutions. Embracing generative AI in your business will change how you operate, unlock opportunity and create a competitive edge in today’s rapidly evolving marketplace. Despite the rise of product-led growth (PLG), Sales is still personal business. Salespeople need to understand the customer and offer a tailored solution, especially in high-value sales. Templates for sales outreach and call scripts can help speed up the process but often feel like a compromise between quality and quantity. After all, if customers don’t know about your product or what you do, there’s little chance they will use it.

How Krista deploys generative AI in your enterprise

This technology has vast potential across various industries, including marketing, design, and gaming, where the ability to produce unique and personalized content is highly valued. Generative AI models can be used and integrated out of the box, significantly reducing AI projects’ complexity, effort, and cost. As a result, the complexity and scope of AI integration projects have decreased, making it possible to introduce AI-supported functionalities quickly and easily compared to previous projects. SAP has recognized this and increasingly offers AI-supported functional modules for solutions such as SAP S/4HANA or SAP Analytics Cloud. In our next blog, we shed light on SAP’s strategy for generative AI and which SAP solutions already include AI components.

Read more about Integrate Generative AI into Your Business Easily here.