SoftServe published the results of a recent study conducted by Forrester Consulting, which assessed the current use of Generative AI among global businesses. Despite over 18 months since the release of ChatGPT and the increasing availability of Generative AI products, solutions, and services, the study found that businesses are still experiencing less value than anticipated, with only 22% of organizations effectively utilizing the technology across all business functions.
Despite falling short of expectations, Gen AI enthusiasm grows unabated according to the global survey of 777 technology purchasing decision-makers involved with their organization’s use of it. Their responses indicated organizations continue to invest and pursue many use cases in search of ones that will deliver the biggest impact while simultaneously struggling with internal data readiness, governance, and skill development.
Key findings include:
- More than half of decision-makers say their company established business goals for using Gen AI, yet 79% or more are concerned with their organization’s ability to execute those goals with current levels of internal or external expertise.
- Despite 75% or more experiencing Gen AI skill readiness challenges, organizations continue to pile up use cases as most have implemented at least three use cases and will expand the use of two more, with plans to pilot at least one more use case in the next 12-18 months.
- Just 51% of leaders are extremely confident their current strategy will allow them to reach maximum Gen AI value from future use cases, while concurrently, 77% are concerned with their company’s potential to realize business value in either the short or long term.
- Only 42% of organizations have the capabilities to train Gen AI models and a staggering 89% face difficulties preparing business data for its use.
- Less than one-fourth (24%) have governance plans in place, even though 90% agree adopting a governance plan is imperative to ensuring the responsible use and risk mitigation of Gen AI.
“Despite a swift start to the Gen AI race, many initiatives get stuck in the piloting stages as more organizations realize their data infrastructure isn’t ready to adequately deploy Generative AI technologies beyond the proof-of-concept,” said Alex Chubay, SoftServe’s CTO. “Gaps in skills and knowledge of emerging Gen AI technologies, technical feasibility, and data readiness hinder companies from moving beyond tactical wins in pilot mode to full-scale deployments enabling novel business capabilities and experiences. To make that qualitative leap to the next level, a holistic approach is required to orchestrate business priorities, use cases, and data across the technology ecosystem from the initial strategy down to the final execution.”
Gaps in Expectations vs. Reality
While respondents agree data is paramount to effective Gen AI strategies, only 3% said their organizations’ models can leverage a full range of six or more types of business data (operational, customer, employee, source code, public, and partner data), which was double the respondent average of three data types used. Moreover, a gap in technical skills persists as 88% say deeper technical expertise is becoming increasingly important for data integration, model optimization, use case development, and further application development.
Crucial External Expertise Needed
Despite the over-abundance of use cases, 80% of decision-makers claim their employees are currently struggling with use case awareness and general understanding of Gen AI complexity and 90% say their organizations need a partner with more advanced technical capabilities to see transformative value in future use cases. According to the study, companies are looking for partners with accelerated deployment support (89%) and a better understanding of their industry (88%) to help with execution and implementation.
Notable Trends in Gen AI Results
The study revealed organizations reaping substantial value from Gen AI prioritized data, governance, and skill development with help from technical partners and experts. Of four countries surveyed, the U.S. took the lead in unlocking the value, followed by the UK, Singapore, and Germany, respectively.
Among industries, retail was most likely to harness Gen AI value and train their organization’s models on owned data, while FSI (financial services and insurance) reported more likely to encounter challenges before yielding any Gen AI gains. FSI leaders also reported releasing fewer governance plans than retail and other sectors. Companies across healthcare, life sciences, oil and gas, manufacturing, ISVs, and enterprise technology depicted an even divide in achieving Gen AI value. Separately, larger businesses with revenues greater than $5 billion were less likely to show successes due to difficulties organizing the required capabilities needed across expansive hardware, software, and infrastructure landscapes.
For more data and takeaways from the SoftServe Gen AI study, access the complete study here.
