Business phone systems and contact center platforms received renewed attention in 2020 as organizations acquired tools for agents working from home. That put the spotlight on vendors, like Avaya, that have feet in both worlds. Since both forms of communications technology are well-suited to the cloud, Avaya has developed its Unified Communications as a Service (UCaaS) and Contact Center as a Service (CCaaS) portfolios in parallel. The effort has borne fruit, with significant product enhancements notched recently. Ventana Research asserts that by 2023, one-quarter of organizations will to UCaaS and CCaaS technologies to collaborate in the enterprise and with customers more effectively.
Many of us who have operated within the human resources profession or been involved in strategic initiatives aimed at placing the workforce at the center of competitive advantage (aka human capital management endeavors), thought we were at least conversational about predictive HCM tools. We were aware that industrial and organizational psychologists have, for decades, been creating skill- and personality-based assessments using predictive algorithms that stood up to rigorous testing, and how tools such as the Hogan or Myers-Briggs tests became industry standards.
The amount of data flowing into organizations is growing exponentially, creating a need to process more data more quickly than ever before. Our Data Preparation Benchmark Research shows that accessing and preparing data continues to be the most time-consuming part of making data available for analysis. This can potentially slow down the organizational functions which depend on the analysis results. Trying to get ahead of the backlog with incremental improvements to existing approaches and traditional technologies alone can be frustrating.
The ERP system is at the core of nearly every organization’s record keeping and business process management. Its smooth and uninterrupted functioning is essential to an organization’s accounting and finance functions. In manufacturing and distribution, ERP manages inventory and logistics. Some organizations use it to handle human resources functions like tracking workers, payroll and related costs.
Organizations are becoming more and more data-driven and are looking for ways to accelerate the usage of artificial intelligence and machine learning (AI/ML). Developing and deploying AI/ML models can be complicated in many ways, often involving different tools and services to manage these solutions from end to end. Accessing and preparing data is the most common challenge organizations face in this process, and consequently, AI/ML vendors typically incorporate tools to address this part of the process. But there are many other steps in the process as well, such as coordinating the handoff between data scientists and IT or software engineers for deployment to production. This can potentially slow down the entire data-to-insights process. End-to-end platforms for AI offer the promise of simplifying these processes, allowing teams that work with data to improve organizational results.