Did you miss a session from MetaBeat 2022? Head over to the on-demand library for all of our featured sessions here. Overcoming the challenges of securing devops and software supply chains from malicious, unpredictable attacks with new technologies dominates Gartner's latest Hype Cycle for Application Security. One of the most concerning insights this year's hype cycle shed light on is that no single application security innovation can deliver comprehensive security. In light of this, CISOs are also forcing the consolidation of their tech stacks to improve their teams' efficiency at identifying risks while reducing costs.

Were you unable to attend Transform 2022? Check out all of the summit sessions in our on-demand library now! According to new Gartner research, two types of emerging artificial intelligence (AI) -- emotion and generative AI -- are both reaching the peak of the digital advertising hype cycle. This is thanks to AI's expansion into targeting, measurement, identity resolution and even generating creative content. "I think one of the key pieces is that the options for marketers have been accelerating," Mike Froggatt, senior director analyst in the Gartner marketing practice, told VentureBeat.

The value of your data is only as good as the actions you're able to glean from it. As the amount of data collected grows in both variety and volume, companies need assistance to help them gain insights into their customers to decipher connections, identify new behavior patterns, predict spending likelihood and assess lifetime customer value. Companies are looking for some edge -- any edge -- as customer spending habits can shift almost overnight. To give them that edge, many marketing departments are exploring machine learning tools for marketing, according to the latest Gartner research.(1) One way to leverage machine learning (ML) is through customer data platforms with ML capabilities built in.

AI-based solutions offer huge benefits for HR leaders as they seek to deliver high-value services with a limited budget, but HR leaders need to understand (now rather than later) where AI matters most so they can prepare for and take advantage of this rapidly evolving range of technologies. "HR leaders need to reimagine their HR processes and identify ways to mitigate inefficiencies and unlock opportunities for more business-value," says Seyda Berger-Böcker, Director Analyst, Gartner. "When deciding on HR process improvement initiatives, HR leaders must make AI-based solutions a central pillar to look at." HR leaders who embrace AI-based solutions can drive their function's journey toward more operational efficiency The most promising use cases for adopting AI-based solutions are in recruiting, skills management, and learning and development (L&D). Processes in these areas involve a high volume of time-consuming tasks that are still operated by human labor, rely on unstructured data that requires significant HR capacity to analyze, and involve complex decisions that are driven primarily by human judgment or intuition and have some degree of bias.