COVID-19 has made analytics the main concern for business leaders, not just CDOs. With the urgency for better insights and the adoption of AI, companies are hard-pressed to speed up analytical processes. One architectural concept that has emerged is analytics at the edge. 

This eGuide dives deeper into this concept. It looks at the challenges that edge computing face when supporting analytics and the steps companies need to take to enable it. It digs deeper into the security implications of edge computing, show why cloud platform providers are getting into the game, and ponder a future when analytics at the edge becomes mainstream to support initiatives like autonomous vehicles and smart manufacturing.