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Matthew.Turner


EPAM Systems: Navigating Economic Challenges with Data and GenAI Technologies

2023-07-30

The earnings call meeting brought together key executives and analysts to discuss the company's financial performance and future growth prospects. The focus of the meeting was on the company's efforts to acquire new clients and the challenges they faced due to cautious budgeting by clients.

One of the most interesting topics discussed was the company's emphasis on data, machine learning, and GenAI technologies. The executives recognized the significance of these emerging technologies and believed that they would have a profound impact on work productivity and knowledge sharing globally. They stressed the need for companies to transform and address the challenges posed by these technologies, particularly generative AI. The company expected these technologies to make a comeback in the near future.

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However, the company also acknowledged the immediate challenge they faced due to the current economic environment. Contracted budgets for new business were affecting their revenue expectations for the year. To navigate this situation, the company planned to adopt a three-pronged approach. Firstly, they would address the pressing tactical items of their current customers. Secondly, they would focus on winning and growing new business through increased sales efforts and partnerships. Lastly, they would continue to invest in strategic priorities such as expanding consulting agency capabilities, data, ML, AI, and cloud capabilities, and improving their overall infrastructure.

The company's focus on data, machine learning, and GenAI technologies was the most interesting topic discussed in the meeting. They acknowledged the importance of these technologies and were preparing to navigate the current economic challenges while investing in their strategic priorities.

The company's plans for product/service included making investments to advance capabilities and be successful in the market. They were focused on controlling costs and maintaining profitability. They aimed to strengthen gross margin, improve efficiency, and expand into new geographies. They had been investing in different regions and growing their application management component. They expected growth in the second half of the year due to delayed programs.

The competitive landscape in the technology sector was evolving. The company differentiated itself through technology advanced solutions and disruptive business models, leading to strong growth rates compared to other companies in the global IT services segment. However, there was a shift in market demand towards cost-effective solutions, benefiting more traditional outsourcing firms with strong cost takeout offerings. The company believed this was a temporary situation and expected a comeback pattern based on their historical experience. They believed that companies investing in digital transformation and adapting to new technologies and business models would become the new leaders in their markets. The company's competitive advantage lay in their continuous focus on differentiated product and platform development.

The most important key performance indicators (KPIs) discussed in the meeting were new client additions, existing client relationships, mergers and acquisitions (M&A), and share buybacks. The company's sales force had been focusing on acquiring new clients, although these relationships were starting with smaller projects due to cautious budgeting. The company expected these new relationships to grow over time and contribute to revenue growth. They were also focused on maintaining and growing existing client relationships, despite some larger clients trimming their budgets. M&A continued to be a priority for the company, and they were actively engaged in discussions. They also initiated a share buyback program in Q1 and expected to continue participating in share buybacks in the future.

The company's outlook for the quarter/year was uncertain and cautious. The executives acknowledged the current stability but emphasized that it could not be compared to the previous quarter. They suggested making quarter-by-quarter adjustments and mentioned a contraction in client spending. However, they also believed that clients would eventually need to make investments for future success. Overall, the company's outlook was focused on short-term adjustments rather than long-term predictions.

The participants of the call included David Straube, Head of Investor Relations; Ark Dobkin, President and Chief Executive Officer; Jason Peterson, Chief Financial Officer; and various financial analysts from Morgan Stanley, Wolfe Research, Cowen and Company, Stifel Financial Corp., William Blair and Company, Barrington Research, Citi, and Bank of America Merrill Lynch. Their presence on the call indicated the importance of the discussion and the significance of the company's financial performance. The active participation of these individuals demonstrated the level of interest and scrutiny surrounding the company's financial updates.

In conclusion, the earnings call meeting provided insights into the company's focus on data, machine learning, and GenAI technologies. Despite the challenges posed by the current economic environment, the company was determined to navigate through it by addressing customer needs, winning new business, and investing in strategic priorities. The company's outlook was cautious but focused on short-term adjustments. With their emphasis on differentiated product and platform development, the company aimed to maintain its competitive advantage and drive future growth.