Three Key Factors to Consider When Building Strategic AI Solution Criteria: Insights From Info-Tech Research Group

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TORONTO, June 20, 2024 ~ In the fast-paced world of technology, organizations are constantly seeking ways to stay ahead of the curve and gain a competitive advantage. One of the most sought-after solutions in recent years has been artificial intelligence (AI), with its potential to transform businesses and drive innovation. However, with a vast landscape of AI solutions available, organizations face challenges in selecting the right one for their unique needs.

Recognizing this critical need for clarity and strategic decision-making in the AI selection process, Info-Tech Research Group has published its latest blueprint, "Build Your AI Solution Selection Criteria." This timely resource from the global IT research and advisory firm aims to equip organizations with structured methodologies to make informed decisions about their AI solutions.

Steve Willis, practice lead at Info-Tech Research Group, emphasizes the importance of cutting through the hype and selecting the right AI solutions for organizations during the adoption process. "Our research provides a guide to defining selection criteria for AI solutions," says Willis. "This includes conducting a self-assessment to identify buying personas and differentiating capabilities that matter most to delivering on key AI use cases."

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The blueprint highlights three factors that IT leaders must consider when developing AI solution criteria. These include data challenges, privacy concerns, and human accountability. According to Info-Tech, access to validated data for training and enhancing models will determine an organization's success with their AI solution. Additionally, IT leaders must confirm how vendors will use data and how long it will be retained while also ensuring that humans remain accountable for using AI responsibly.

The firm also addresses the immense pressure on IT leaders to make decisions about AI solutions despite significant information gaps. This lack of information can often leave IT feeling underprepared, rushed, uncertain, and at risk of buyer's remorse. Furthermore, as many current generative AI (GenAI) use cases are still untested and notional, making future-proof decisions is nearly impossible.

To help organizations navigate these challenges successfully, Info-Tech recommends a well-prepared buyer's approach to understanding the needs of vendors. This will enable IT leaders to make well-informed decisions about their AI solutions.

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While the benefits of significant AI investments may take a year or more to outweigh the costs, organizations do not have the luxury of time as AI has become a primary focus for many. As such, Info-Tech advises organizations to act quickly and responsibly to remain competitive in today's fast-paced world.

For those seeking exclusive and timely commentary from Steve Willis, an expert in enterprise architecture & AI, and access to the complete "Build Your AI Solution Selection Criteria" blueprint, please contact Info-Tech Research Group.

In addition, registration is now open for Info-Tech Research Group's annual IT conference, Info-Tech LIVE 2024. This premier event offers journalists, podcasters, and media influencers access to exclusive content, the latest IT research and trends, and the opportunity to interview industry experts, analysts, and speakers. To apply for media passes or gain access to research and expert insights on trending topics, please contact Info-Tech Research Group.
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