IT Leaders Craving Insights on Generative AI Use, Finds New Snow Software SaaS Management Survey

Snow Software, a leader in technology intelligence, unveiled new data suggesting IT leaders are grappling with anxiety over the risks of generative AI despite continued confidence in their software-as-a-service (SaaS) security posture. The latest study, which surveyed 1,000 IT leaders, looks at shifting challenges and opportunities facing IT leaders managing SaaS.

SaaS Security Requires Self-Supervised Learning with Context

In this contributed article, Tal Shapira, Ph.D., co-founder and chief scientist at Reco, discusses the need for self-supervised learning to combat the growing attack surface that SaaS-based applications have opened up for organizations. SaaS tools and applications have revolutionized the workplace in many ways – and we certainly don’t want to put an end to that. But organizations must think carefully about the security implications of these apps and the sensitive
data that’s being shared within and across them. In his piece, Tal explains that an approach based on self-supervised learning can help improve an organization’s security posture by providing a more agile and context-aware approach to security.

Why a Data-driven Culture is Important to the Success of your SaaS Business

In this contributed article, Joseph “OG” Meyers, discusses one of the best ways SaaS businesses can create advantage is by fostering a data-driven culture. Doing so lays the groundwork for employees at all levels to make sound business decisions that lead to success. To elaborate, here’s an explanation of what a data-driven culture means and why it’s so important to the success of a SaaS business.

3 SaaS Big Data Trends You Need to Know About

In this contributed article, Nikola (Nik) Mijic, CEO & co-founder of Matik, discusses three major big data trends in the SaaS industry that you need to know about now to keep your company ahead of the curve.

R2.ai Launches SaaS-based AutoML Tool to Drive Mass AI Adoption

R2.ai, which enables businesses and individuals to develop AI solutions on their own, announced the availability of its software as a service (SaaS) offering. Originally an on-premise solution, R2.ai’s new SaaS platform makes it easier for a broader range of businesses and individuals to develop and deploy AI with little AI expertise.

InsideBIGDATA Guide to Hyperscaling Your SaaS Infrastructure

Software as a Service (SaaS) is a software distribution model in which applications are hosted by a vendor or service provider and made available to customers over the Internet. Instead of companies installing software on their own servers, known as the on premises distribution model, application software providers host the software in the cloud and charge customers according to the time they spend using the software, or based on a monthly or annual fee. Download this white paper to read more.