major-ai-trends-for-traditional-enterprises-in-2023 
Dataversity
NOVEMBER 23, 2022
Post-pandemic, the demand for AI is surging, as many organizations ascertain the need for AI to keep pace with the current business landscape in the face of a looming recession. AI can help enterprises improve business processes, increase speed and accuracy, and help make predictions to optimize their performance.
Precisely
JANUARY 17, 2023
For most enterprises, 2022 was a year of transition, as companies struggled to figure out how to accomplish more with fewer resources. Technology helped to bridge the gap, as AI, machine learning, and data analytics drove smarter decisions, and automation paved the way for greater efficiency.
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ODSC - Open Data Science
JANUARY 8, 2024
Between the 20+ conferences I’ve attended this year, dozens of conversations with leading AI experts, and a number of briefings released, I’ve been exposed to a serious amount of enlightening viewpoints when it comes to the trends that will fuel AI’s trajectory next year. In 2024, other companies are likely going to follow suit.
Precisely
JANUARY 18, 2024
In fact, in a 2023 BMC survey , 92% of respondents said they see the mainframe as a platform for long-term growth and new workloads. Our 2024 mainframe trends recap focuses on modernization and the technologies and trends that can impact your own initiatives. Let’s dive in. It simply works.
Snorkel AI
JUNE 23, 2023
Enterprises—especially the world’s largest—are excited to use large language models , but they want to fine-tune them on proprietary data. During the conference, hundreds of attendees gave their insight into the current state of enterprise AI by responding to a set of polls. We examine some of the results below.
Snorkel AI
JUNE 23, 2023
Enterprises—especially the world’s largest—are excited to use large language models , but they want to fine-tune them on proprietary data. During the conference, hundreds of attendees gave their insight into the current state of enterprise AI by responding to a set of polls. We examine some of the results below.
IBM Journey to AI blog
APRIL 18, 2024
While AGI remains theoretical, organizations can take proactive steps to prepare for its arrival by building a robust data infrastructure and fostering a collaborative environment where humans and AI work together seamlessly. This gap highlights the vast difference between current AI and the potential of AGI.
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