Top-performing supply chains are investing in AI/ML to optimize their processes twice as much as low-performing peers. The best organizations focus on productivity, not efficiency or cost savings, to sustain growth. A recent Gartner survey aims to understand how supply chains are adapting to changes in economic values and harnessing digital assets for productivity.
Read More68% of finance organizations are using or planning to use AI, according to a recent survey by Gartner. Of 133 finance leaders surveyed in May 2023, 39% are currently using AI/ML, and 29% plan to use it in the future. Successful AI-forward finance organizations embrace AI at the C-suite level and embed data science teams within finance departments. Employees should view AI as a co-worker, not a threat to their jobs, for the highest likelihood and magnitude of success.
Read MoreGenerative AI is a rapidly growing field with immense potential. However, its success is not guaranteed, at least not in the short term. To understand the potential hurdles that lie ahead, we asked some of our analysts to share their thoughts.
So, what are the potential issues that could impede the progress of generative AI? Keep reading to find out, and be prepared for what lies ahead!
Read MoreForrester predicts that by 2024, 60% of those who are skeptical about generative AI will end up using and appreciating the technology, without even realizing it. Consumers who are skeptical of genAI will eventually adopt it for tasks that can boost their creativity and productivity, such as seeking help from conversational assistants, summarizing and translating content. Furthermore, the investment in genAI by business, technology, and marketing leaders in the coming year will increase employees' creative problem-solving time by up to 50%, driving customer-centric innovation and creating greater business value.
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