generations 
CIO
MAY 3, 2024
United Parcel Service last year turned to generative AI to help streamline its customer service operations. Customer service is emerging as one of the top use cases for generative AI in today’s enterprise, says Daniel Saroff, group vice president of consulting and research at IDC.
CIO
MARCH 29, 2024
That’s why Rocket Mortgage has been a vigorous implementor of machine learning and AI technologies — and why CIO Brian Woodring emphasizes a “human in the loop” AI strategy that will not be pinned down to any one generative AI model. Despite being primarily an AWS shop, Rocket has taken a model-agnostic approach to generative AI platforms.
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CIO
APRIL 18, 2024
Considering the benefits Copilot, and similar AI agents, can generate entire documents from short prompts, create slide presentations, automate repetitive tasks, pull together information from multiple sources, and summarize emails, chats, and meetings for employees flooded with all three, Microsoft says. No,” he says. Yeah, that makes sense.”
CIO
APRIL 16, 2024
The next generation of leaders in family businesses is poised to embrace the transformative power of generative AI (GenAI) despite marked resistance from the incumbent leaders, according to a PwC report. Generative AI, IT Leadership The survey findings too echoed Hinojosa’s sentiment.
Advertiser: Data Robot
The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments.
CIO
OCTOBER 19, 2023
“Our people make the difference” — a common catchphrase of Walmart founder Sam Walton — still guides the company’s path forward as it ventures into the future with generative AI. The move places Walmart among a handful of companies (aside from tech giants) that have leveraged generative AI at scale. And they did it in just 60 days.
CIO
APRIL 19, 2024
“No company got out of 2023 without having a story about how much better their company was going to be, how much better their products were going to be, how much better their customers’ lives were going to be because of generative AI,” he said. There were very robust stories about how great generative AI was going to be.”
Speaker: Data Robot
Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere. In this session, we will debate whether and how these same lessons can help organizations get to value more quickly with generative AI. Enterprise AI maturity has evolved dramatically over the past 5 years.
Advertiser: ZoomInfo
This guide will examine the market forces at play, shifting buyer trends, what conversational marketing is, how to leverage it, and the tactics involved in adopting conversational marketing for a B2B demand generation strategy.
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Delivering sales-ready leads is a constant challenge for B2B marketers. Check out these 7 strategies to find and target high-value prospects who are ready to buy, and motivate them to act. Get the free guide.
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In an effort to be data-driven, many organizations are looking to democratize data. However, they often struggle with increasingly larger data volumes, reverting back to bottlenecking data access to manage large numbers of data engineering requests and rising data warehousing costs.
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From data security to generative AI, read the report to learn what developers care about including: Why organizations choose to build or buy analytics How prepared organizations are in 2024 to use predictive analytics & generative AI Leading market factors driving embedded analytics decision-making
Advertiser: ZoomInfo
In 2022, society has fully immersed itself in the web and all it has to offer - and no one more so than those of Generation Z. With “Gen Zers” beginning to enter the workforce at entry-level positions, it’s crucial to understand that this generation operates differently from the last.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
Advertiser: Revenera
Vendors large and small have been using software intelligence to understand who is using unlicensed versions of their software so they can develop data-driven strategies to identify and convert unpaid users, generating new license revenue.
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