Research

Abstract:

Abstract:

ESG conducted a comprehensive online survey of information security and IT professionals from private- and public-sector organizations in North America (United States and Canada), Europe, Asia, Central/South America, and Africa between March 1, 2021 and April 7, 2021. To qualify for this survey, respondents were required to be information security and IT professionals from ISSA’s member list.

This Master Survey Results presentation focuses on the lives and experiences of cybersecurity professionals, including performance assessments of their cybersecurity leaders, as well as suggestions for what organizations can do to help cybersecurity professionals succeed.

Abstract:

While AI is still considered nascent, the impact it is having on organizations that are embracing it early and often is profound. This serves as a key component to why organizations continue placing bets on AI. Even as skills gaps remain when it comes to incorporating AI into the business, organizations simply cannot afford to wait in adopting the technology as they risk being disrupted by the competition using AI today. With the rise of AI tools that simplify and automate several, if not all aspects of the AI lifecycle, expect adoption of AI to continue exploding for years to come.

Abstract:

Organizations continue to prioritize AI investments with a goal of achieving a more data-centric future. While business objectives point to several areas where AI can help improve businesses both internally and externally, time to value continues to be scrutinized as organizations make massive investments in people, processes, and technology in support of AI initiatives. Opportunities to reduce time to value continue to pave the way for AI technology vendors that can help simplify the adoption and use of AI technology to support a growing number of use cases throughout the business.

Abstract:

Though the cyclical AI lifecycle is riddled with complexity, the last mile of AI is proving to be the greatest challenge for organizations in their quest to leverage AI. Between diverse and distributed application environments, the rate at which growing data sets change and create data drift, and the dynamic needs of the business, several contributing factors lead to organizations suffering from AI deployment challenges. Both new and mature businesses leveraging AI continue to prioritize opportunities to simplify the last mile of AI—deploying AI into production—with a goal of reducing the amount of time it takes to get from trained model to production. This has paved the way for the emergence of technology to better enable businesses to deploy, track, manage, and iterate on a growing number of ML models in production environments.

Abstract:

As organizations strive to utilize more data, data lakes are increasingly becoming an attractive option with limitless potential. Data lakes enable organizations to unite disparate data silos and make data more accessible across the business by serving as a centralized repository or collection of data, regardless of shape, speed, or size. Organizations can then leverage a data lake to feed other data-centric tools or utilize tools that sit on top of a data lake to work with the data in-place, such as query optimization solutions that can minimize data movement while enabling improved processing and analysis. And the economic advantages cannot be understated as organizations increasingly leverage cost-effective cloud storage and minimize operating costs through the consolidation of infrastructures silos.

Abstract:

ESG conducted a comprehensive online survey of IT security professionals from private- and public-sector organizations in North America (United States and Canada) between December 7, 2020 and December 26, 2020. To qualify for this survey, respondents were required to be IT/information security professionals responsible for evaluating or purchasing cloud security technology products and services.

This Master Survey Results presentation focuses on the current and future composition and environments of cloud-native apps and infrastructure, including the security problem space with respect to operational challenges and the threat landscape.

Abstract: