Bob Evans recaps the comments on generative AI given by Snowflake CEO Frank Slootman on the company’s most recent earnings call.
Clari VP of Product Phil Cooper explains the “intractable” problem of providing summaries and visibility into sales activity, and how the company’s RevGPT addresses it.
Machine learning is nothing new in cybersecurity, but in recent years, it’s gotten significantly better, says Rob Wood.
Rob Wood explains why cybersecurity ML models need clean and ample data, proper input ranges, and robust data platforms, such as the security data lake.
In anticipation of the Generative AI Digital Summit on May 25th, Janet Schijns runs through some existing use cases for technology partners.
There are unique endpoint security challenges associated with cloud-based systems. Here are some strategies to address them.
Your competitors are already doing it, so you do not want to put your head in the sand, says Rob Wood.
The integration of machine learning and AI capabilities in cybersecurity offer opportunities for improved specificity, consistency, and scalability.
Celonis is demonstrating this week how Generative AI and an open API can make process mining insights broadly available. It’s also expanding functionality for supply chains.
Tony Uphoff explores organizational restructuring in a digital-first world and how leaders can best lean into this in a way that promotes innovation and growth.
Endpoint security tools like Palo Alto Networks’ Cortex protect organizations from cyber threats and are especially necessary in the era of remote work.
By addressing transparency, accountability, fairness, and privacy, healthcare organizations can harness generative AI’s transformative power while upholding the highest standards of ethical conduct.
Bob Evans recaps his interview with Workday’s John Kravitz and explains how Workday’s innovative technology helps healthcare providers navigate the increasingly complex industry.
On site at ServiceNow’s annual conference in Las Vegas, Tony Uphoff shares takeaways from the initial presentations by the company’s executive team.
Data flexibility, scalability, and volumes were just some of the key topics that surfaced during the recent Data at Scale Digital Summit.
The black box problem, which refers to a lack of explainability, can have major implications for companies using AI systems.
Organizations must understand what machine learning, including deep learning, is and what it isn’t to gain the most value from their ML business applications.
While generative AI is still a relative newcomer in the channel, it’s already starting to create an impact in several ways.
Having the right strategy enables companies to be confident in adopting intelligent automation and optimizing its benefits.
Four-time CEO Tony Uphoff shares a five-part framework for leaders to operationalize data at their organizations.