Managing governance, risk, and compliance processes across an organization is difficult due to manual tasks, siloed departments, and inconsistent approaches.
Call agents have finite knowledge, limited bandwidth, and encounter language barriers leading to reduced customer satisfaction, longer call times, increased costs, and call agent churn.
Today’s enterprise IT and security operations increasingly rely on log data but face growing costs and increasing manual maintenance.
Current identity architectures require Solution multiple products across cloud, on-prem, and edge. These architectures rely heavily on
passwords, considerable manual administration, and contribute to user friction.
High Performance Compute
Whether optimizing protein folding, studying population-level genomics, or training autonomous driving models; the need for high-speed
computation is paramount.
By 2025, more data will be created at the edge than in the core. This existing shift in data gravity increases the need for edge compute and connectivity, and a new generation of solutions to secure and manage the edge.
Explainability of User Requirement
As the cap abilities of artificial intelligence(AI) systems constantly grow, so too does their complexity. The explainability toward their users is gaining attention, becoming a requirement that these systems should satisfy. We articulate user requirements for explainable AI systems.
Digital interactions are taking on a more human-like appearance and behavior, but could or should they become our digital selves?
Emerging Data Trends
Data has forever been an ever-changing staple of the enterprise technology ecosystem. As technologies evolve, data volumes have increased, sources diversified, and response time demands have plummeted. This requires heightened data quality and consistency, as any impediment to data analysis undermines accurate business decisions. Additionally, mishandling or inappropriate data access opens up a host of bad actor threats and non-compliance with regulations.
Privacy Preserving Computation
We are on the quest for mainstream
adoption of privacy-preserving computation solutions. As present challenges are solved, homomorphic encryption and related privacy-preserving techniques will change
the face of information technology, security,
privacy, and policy.