There are many distinct ways of learning and decision-making for organizations. Two of the primary methods of decision-making are: Learn from the past experiences of you and others and develop decisions based on previous outcomes. This process rarely generates massive innovation or differentiation because everyone has access to that same information. It does help in avoiding common pitfalls. But it rarely creates a breakthrough.
Enterprises always seek the next level of efficiency and productivity. It enables them to stand out among competitors and grow. To achieve the next level of productivity, different roles and tasks in the enterprise will be augmented by intelligent AI agents. This change is inevitable. Priority will be given to augmenting those roles and tasks that have the greatest impact on business and competitiveness.
I hope all is well with you and your family this holiday season. Life runs in chapters. My last chapter for a decade with Cambium Networks was transformational, exciting, fulfilling, and full of learnings. The most joyous part was working with an amazing team laser-focused on the mission of connecting the unconnected.
Artificial intelligence is synonymous with a variety of algorithm-based tools that leverage technology to do the mundane tasks historically performed by staff members. But with those tools the process of interpretation and decision-making still rests on people. Artificial Decision Intelligence (ADI) closes this human intervention gap by automating the decision analysis and what-if planning usually performed by staff.
Volatility of market factors and economic uncertainty are impacting every function of an enterprise today. Hyper-speed changes leave business-planning executives struggling to orchestrate rapid decision-making and achieve an optimal outcome.
For the past several decades operation teams have sought getting their work done by leveraging the lower salaries and cost structures provided by working in parts of the world where wages are comparatively low. This push for efficiency moved call centers, back-office work and most of the world’s supply chains to developing nations such as Mexico, Eastern Europe, and China. Now, these strategies have come into question.
Today, supply chains are wrestling with all sorts of supply chain constraints from silicon chips to metal shipping containers. For many senior procurement executives, managing shortages and supply continuity is their number one issue. With that, comes the criticality of knowing exactly how commodity teams are managing visibility into their continuity of supply, and having a response plan when things go awry.
Enterprises are facing a variety of optimization challenges in maintaining the day to day business operations. ExperienceFlow is enabling enterprises to be optimal at the micro-level of each customer, each asset, each employee and each business process. We believe this micro-level optimization led profitability is the future of business that can be powered only by innovative AI based solutions like ExperienceFlow's Digital Nervous System.