As we now enter the new year, I’ve taken some time to look back at the hundreds of thought leadership pieces and industry insights created by our Clarkston authors this year. Today, I’m reflecting on one of the hottest topics of 2024: AI. From the supply chain to wine & spirits, our experts have shared a variety of perspectives on the latest trends, opportunities, and challenges in the AI and automation space. Check out some of our top AI insights from 2024 below, or to explore more of our AI insights, click here.   

Top 6 AI Insights from 2024 

1. What Businesses Need to Know about Apple Intelligence 

From virtual chatbots to product recommendations, companies have found various ways to integrate and implement AI. Apple is no different – having just launched Apple Intelligence during their annual Worldwide Developers Conference (WWDC) this past June, which will transform mobile experiences with generative AI. In this post, Clarkston experts Jack Magee, Drake Jaglowksi, and Michael Onore break down what businesses need to know about Apple Intelligence. 

Explore what businesses need to know about Apple Intelligence > 

2. Creating a Pharma-Centric AI Agent for Commercial Q&A 

In this case study, we highlight a recent project exploring generative AI capabilities over complex tabular data in pharma, where Clarkston’s Data + Analytics team, including Saif Murad, Elise Watson, and Sham Karim, created a pharma-centric AI agent. 

Learn more about this pharma-centric AI agent > 

3. Building an AI Literacy Program to Improve User Adoption 

Every company seeking a competitive advantage is likely to incorporate artificial intelligence (AI) into their business –but the how is not always so simple. As companies navigate AI adoption, it’s important that they develop an effective AI transformation strategy. Informed AI strategy, cross-functional collaboration, and organizational buy-in are key pillars of successful AI transformation, and central to these pillars lies an important concept: AI literacy. Building an AI literacy program within an organization is critical to successful AI adoption. In this piece, Brandon Regnerus, Erica Parks Murray, Michael Onore, and Cecilia Williams discuss how organizations can go about building an AI literacy program. 

Read more about building an AI literacy program > 

4. Creating an AI Transformation Strategy: Lessons Learned from Digital Transformation 

AI offers a lot of opportunities for increased efficiency, time savings, and advanced analytics, among other key benefits, for organizations across industries. However, with many different ways to leverage and incorporate AI into your business processes, it’s important that your organization has a clear plan for your AI roadmap. As companies embark on their AI transformation journey, we’re noticing that many lessons learned from the last wave of organizational transformation – Digital Transformation – are applicable. In this post, Clarkston experts Idoia Hidalgo, Brandon Regnerus, and Sara Morris outlined those learnings and components for success that are helpful when creating an AI transformation strategy. 

Dive into creating an AI transformation strategy > 

5. How AI Can Improve Inventory Optimization in the Supply Chain 

The key mandate for the inventory management team at a consumer products company is to have just the right amount of inventory, in just the right location, at just the right time. Getting inventory balanced, especially when there are likely many distribution centers and many different production facilities to consider, can feel like a mix of art and science. Fortunately, with AI and ML, the “science” or calculated side of this endeavor can get a huge boost of cognitive power. In this piece, Chandler Kneer and Scott Shaw explore how AI can improve inventory optimization in the supply chain. 

Continue reading about how AI can improve inventory optimization > 

6. AI in Wine & Spirits: Use Cases in Taste, Packaging, and Operations 

Consumer beverage preferences are rapidly changing, and while humans might be slower to catch the new fad, AI is frequently searching the internet and social media sites for the drink of the season. As the use of AI in the wine & spirits industry is still relatively new, the main areas we’re seeing it leveraged are in new product formulation and marketing activities. Additionally, it’s not a technology only utilized by large brands – AI can also be used by start-ups and growing companies, as it’s a solution that doesn’t require custom tools and applications. James Savage explores the topic further in this post. 

Learn more about AI in wine & spirits > 

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