A groundbreaking study conducted by Coleman Parkes Research and underwritten by SAS has unveiled a significant enthusiasm gap among U.S. businesses regarding the deployment of generative artificial intelligence (GenAI) technologies. 

While a survey of 300 strategy and data whizzes from the U.S. showed they’re excited about GenAI making work faster and smoother, they’re also biting their nails over how to keep our info safe, blend it into business as usual, and find enough smart folks to run it all without hitting snags.

---

• Overwhelming concern among AI strategists about data privacy and security, with 80% expressing apprehension.
• Lack of strategic planning and in-house expertise identified as significant barriers to effective generative AI adoption.
• The study emphasizes the importance of investing in technologies that ensure seamless integration, governance, and clarity of large language models (LLMs).

---

Generative AI’s Promise Meets Privacy and Planning Challenges, Survey Highlights

Essential Findings from the Survey:

Data Privacy and Security Concerns: It’s pretty worrying that a whopping 80% of folks leading the AI charge are losing sleep over how safe our data really is with GenAI. They’re shouting from the rooftops that we’ve got to build better trust and stick to rules more strictly.

Strategic Planning is Critical: Marinela Profi, SAS’s strategic AI advisor, advocates for viewing GenAI as a tool to bolster hyper-automation and process acceleration, rather than a catch-all solution for business challenges. She’s all about thinking ahead and pouring resources into tech that makes sure big language models (LLMs) work together smoothly, stay easy to manage, and are crystal clear for everyone.

Predominant Implementation Hurdles

Compliance and Trust Deficit: Only 10% of surveyed organizations possess robust systems to evaluate bias and privacy concerns in LLMs. A staggering 93% are without a comprehensive governance framework for GenAI, posing a considerable risk of regulatory noncompliance.

System Integration Struggles: 

Numerous firms report difficulties in assimilating GenAI technologies with their pre-existing systems, indicating a prevalent issue of compatibility.

The Talent Gap: 

The scarcity of in-house GenAI expertise is palpable, with human resources departments facing challenges in recruiting adequately skilled personnel.

Underestimated Costs: 

Heads-up! Leaders are worried about the steep prices hiding behind AI model use. We’re talking dollars spent on prepping personal info, training sessions for the system, and managing its day-to-day operations.

What Profi stands for is clear – pinpointing applications rooted in reality which have the muscle to make a significant impact and address human necessities efficiently, all while being built to last and scale easily. 

Our mission? To point corporations towards shrewd investment choices that also pump up their ability to stand strong through any twist or turn in AI technology trends.

Leaders dabbling in both technology’s cutting edge got an eye-full during their time at LAS’s very own gathering ground – the iconic Sas Innovate bash! Amidst Sin City’s sparkle went down some serious sharing about using Artificial Intelligence (AI) along with nifty number-crunching methods (analytics), not forgetting all those invaluable connections made amongst like-minded pros from different corners! 

SAS is all in when it comes to helping companies master GenAI and ensure they’re ready for both the ups and downs.

We’re diving into what stops companies from fully embracing GenAI, guiding them through these challenges. The goal? To unlock AI’s full potential responsibly while positively impacting society.

Subscribe to our daily NEWSLETTER.